JP7521181B2 - DATA PROCESSING APPARATUS, DATA PROCESSING SYSTEM, DATA PROCESSING METHOD, AND PROGRAM - Google Patents

Description

The present invention relates to a data processing device, a data processing system, a data processing method, and a program for collectively displaying a plurality of data items acquired separately by, for example, a plurality of sensors.

A graphing calculator is a calculator that can draw graphs, calculate simultaneous equations, and perform calculations using variables. This type of graphing calculator also has a display on which multiple lines of text and graphs of the calculation results can be displayed. In this way, a graphing calculator has both calculation and display functions.

In addition, in recent years, graphing calculators have been manufactured that can be connected directly or indirectly to sensors. For example, when a data logger with a sensor is connected to this type of graphing calculator, the necessary settings are made and the sensor data detected by the sensor is acquired.

More recently, in order to simplify the required setup process, measurement apps have been developed that automatically perform setup processes when a data logger with a connected sensor is connected to a graphing calculator. For example, Patent Document 1 discloses a data logger that controls automatic measurement, reads, edits, and transmits measurement conditions, etc.

In addition, this measurement app not only acquires sensor data detected by the sensor, but also automatically recognizes the type of sensor.

Graphing calculators equipped with such measurement apps are expected to be used in educational settings, such as science experiments.

In a science experiment, the teacher receives sensor data acquired during the experiment sent by each student or each group of multiple students on his/her own device, and checks the results of the experiment performed by each student or group to verify whether the experiment was performed correctly. Furthermore, the teacher displays a list of the experimental results of each student (or a portion of all students participating in the experiment) or each group on the display of the device, for example as a graph created from the sensor data. This allows students participating in the experiment to verify and compare the experimental results of other students or groups different from the one they belong to.

To achieve such efficient lessons, each student or the representative of each group acquires sensor data detected by the sensor using, for example, a graphing function calculator equipped with a measurement app as described above, and then transmits the acquired sensor data to the teacher's device.

If the graphing calculator itself has a communication function, this type of sensor data can be sent directly from the graphing calculator to the teacher's device.

On the other hand, if the graphing function calculator does not have a communication function, if it is a graphing function calculator with online sharing function, a QR code (registered trademark) corresponding to the sensor data is created and read by a smartphone or tablet device, and the smartphone or tablet device that reads the QR code will then send the sensor data to the teacher's device on behalf of the teacher.

JP 2003-281671 A

However, classes that utilize communication technology as described above have the following problems:

In other words, to realize such a lesson, the teacher must first confirm that the sensor data sent by the students is sensor data related to the lesson in question.

For example, a teacher may conduct an experiment on the same topic for different classes. In such a case, sensor data related to the same topic will be sent from students in the different classes. Also, even in the same class, an experiment on a different topic may be conducted on a different day. In such a case, sensor data related to the different topic will be sent from students in the same class.

Therefore, when a teacher receives sensor data from a student, the teacher must verify which class and lesson the sensor data was acquired from. This verification process requires a great deal of time and effort, which can hinder efficient teaching.

The present invention has been made in consideration of the above circumstances, and aims to provide a data processing device, a data processing system, a data processing method, and a program that are capable of automatically determining whether sensor data transmitted from multiple sources is desired sensor data, and classifying the sensor data into the same group in accordance with the determination result.

A data processing device according to the present invention includes a control unit that receives one or more sets of data output from at least one data output device, each set of data including sensor data acquired by a sensor, first identification information that identifies the data processing device that should receive the data, and second identification information that identifies the communication network to which the data processing device is connected, via a communication network, sets a condition including the first identification information and the second identification information, determines whether the first identification information and the second identification information included in the received one or more sets of data satisfy the set condition, classifies the one or more sets of data that are determined to satisfy the condition into the same group, and generates and outputs an output file based on the one or more sets of data classified into the same group.

According to the data processing device, data processing system, data processing method, and program of the present invention, it becomes possible to automatically determine whether sensor data transmitted from a plurality of transmission sources is desired sensor data.

1 is a conceptual diagram illustrating an example of the configuration of a display system according to a first embodiment. 1 is a front view showing the external configuration of a graphing scientific calculator that is an example of an electronic device that can be used as a student terminal in a first embodiment. FIG. 1 is a block diagram showing an example of the configuration of an electronic circuit of a graphing scientific calculator that can be used as a student terminal in the first embodiment. FIG. FIG. 11 is a diagram showing a data structure of a network database that stores a plurality of pieces of network identification information. FIG. 2 is a block diagram showing an example of the configuration of an electronic circuit of a teacher terminal. FIG. 4 is a diagram showing a data structure of a determination condition database. FIG. 4 is a diagram showing a data structure of a sensor data database. FIG. 13 is a conceptual diagram showing an example of a list of graphs created from sensor data acquired in the same lesson. 9 is a diagram showing another example of display of student information (user information) in FIG. 8 . 1 is a flowchart (1/2) showing an operation example of the display system according to the first embodiment. 11 is a flowchart (2/2) showing an operation example of the display system according to the first embodiment. FIG. 11 is a conceptual diagram illustrating an example of the configuration of a display system according to a second embodiment. FIG. 11 is a block diagram showing an example of the configuration of an electronic circuit of a graphing scientific calculator that can be used as a student terminal in a second embodiment. FIG. 13 is a conceptual diagram showing an example of a list display of a plurality of graphs together with accompanying imaging data and imaging time information. 13 is a flowchart (1/2) showing an example of the operation of the display system according to the second embodiment. 13 is a flowchart (2/2) showing an operation example of the display system according to the second embodiment. FIG. 1 is a schematic diagram showing the procedure of a general neutralization titration experiment. FIG. 13 is a conceptual diagram showing an example of a list display of a plurality of graphs together with accompanying imaging data and imaging time information.

First Embodiment
A display system according to a first embodiment will be described.

Figure 1 is a conceptual diagram showing an example of the configuration of a display system according to the first embodiment.

In this embodiment, we will explain an example in which teacher A receives experimental data from each student in class B during a science experiment using the display system 1.

In this case, the display system 1 consists of a teacher terminal 3 and multiple student terminals 4 (#1 to #n) connected via a communication network 2, such as the Internet or a school intranet. Note that the teacher terminal 3 here is the terminal used by teacher A, who is in charge of an experiment when the students of class B are conducting the experiment. Also, the student terminals 4 (#1 to #n) here are the terminals used by the students of class B during the experiment.

The student terminal 4 is a terminal that transmits the sensor data (detection results by the sensor 50) acquired by the sensor 50 to the teacher terminal 3 via the communication network 2, and can be realized, for example, by an electronic device such as the graphing function calculator 10 shown in FIG. 2.

Figure 2 is a front view showing the external configuration of a graphing scientific calculator 10, which is an example of an electronic device that can be used as a student terminal 4.

The following description will use a graphing scientific calculator 10 as an example of the student terminal 4, as shown in FIG. 2. However, the student terminal 4 is not limited to being configured as an electronic device such as the graphing scientific calculator 10, and can also be configured as an electronic device such as a tablet terminal, a personal computer, a smartphone, a mobile phone, a touch panel PDA (personal digital assistant), an e-book, a portable game console, etc.

In addition, electronic devices (not shown) such as tablet terminals that do not have physical keys (buttons) like the graphing function calculator 10 display a software keyboard similar to the keys of the graphing function calculator 10, and execute processing in response to key operations on this software keyboard.

The graphing calculator 10 is small enough for a user to hold and operate it with one hand due to the need for portability, and has a key input section 11 and a display 12 on the front of the main unit.

The key input section 11 is equipped with a group of numeric and arithmetic symbol keys 111 for inputting numeric values, formulas, and program commands, and for instructing the execution of calculations and programs; a group of function function keys 112 for inputting various functions and activating memory functions; a group of mode setting keys 113 for displaying menu screens for various operating modes such as calculation mode and algorithm mode, and for instructing the setting of these operating modes; a group of function keys 114 for activating various functions displayed along the bottom edge of the display 12 with a single key operation; and cursor keys 115 for moving the cursor displayed on the display 12, selecting data items, etc.

The numeric and arithmetic symbol key group 111 includes the numeric keys [0] to [9], the four arithmetic symbols [+], [-], [x], and [÷], the [EXE] (execute) key, and the [AC] (clear) key.

The function key group 112 includes a [sin] (sine) key, a [cos] (cosine) key, a [tan] (tangent) key, and the like.

The mode setting keys 113 include a [MENU] key, a [SHIFT] key, an [OPTN] key, etc.

The function key group 114 includes the [F1] key to the [F6] key.

Note that when the numeric/operation symbol keys 111, function function keys 112, mode setting keys 113, and function keys 114 are operated after the [SHIFT] key, they can function as the keys written above them, rather than the key functions written on the key tops. For example, when the [AC] key is operated after the [SHIFT] key is operated (hereinafter referred to as [SHIFT] + [AC] keys), it becomes the [OFF] (power off) key. The [SHIFT] + [MENU] keys become the [SET UP] (setup) keys, and the [SHIFT] + [F3] keys become the [V-Window] (view window: commands the display of the drawing area setting screen) keys.

The display 12 is, for example, a dot-matrix type liquid crystal display unit. If the student terminal 4 is a tablet terminal, the display 12 is a liquid crystal display unit with a touch panel superimposed thereon. The display 12 displays a graph of the results of calculations performed by a data acquisition program (data acquisition program 22a shown in FIG. 3, described later) on the sensor data detected by the sensor 50.

Figure 3 is a block diagram showing an example of the electronic circuit configuration of the graphing function calculator 10.

The electronic circuit of the graphing function calculator 10 includes, in addition to the key input section 11 and the display 12, a CPU 21, which is a computer, a memory 22, a recording medium reading section 24, a communication section 25, a data acquisition section 26, and a network database 27.

The CPU 21 controls the operation of each circuit component according to a data acquisition program 22a and an information addition program 22b stored in the memory 22, and executes various arithmetic processing in response to key input signals from the key input unit 11. The data acquisition program 22a and the information addition program 22b may be pre-stored in the memory 22, or may be read from an external recording medium 23 such as a memory card via the recording medium reading unit 24 and stored in the memory 22. The data acquisition program 22a and the information addition program 22b cannot be rewritten by the user by operating the key input unit 11.

In addition to such information that cannot be rewritten by the user, the memory 22 has a writable data area 22c reserved as an area for storing data that can be rewritten by the user, which is an area for storing various data constituted by sequentially inputting key code data entered by the key input unit 11, and intermediate data generated by processing performed by the data acquisition program 22a and the information addition program 22b. The memory 22 also has a user information storage area 22d reserved, in which information (user information) of the student who uses the graphing scientific calculator 10 can be stored in advance, for example, before the start of an experiment. This user information consists of at least one of the following, for example: the student's name, the group conducting the experiment (the experiment group to which the student belongs), the class to which the student belongs, etc.

In the graphing scientific calculator 10 (student terminal 4) configured in this manner, the CPU 21 controls the operation of each part of the circuit according to the instructions written in the data acquisition program 22a and the information addition program 22b, and the software and hardware work together to realize the functions described below.

The data acquisition unit 26 communicates with the data logger 40 by wire or wirelessly. One or more sensors 50 are connected to the data logger 40. Examples of the sensors 50 include, but are not limited to, a temperature sensor, a voltage sensor, a current sensor, a pH sensor, a sound sensor, a photogate sensor, a pressure sensor, etc.

The data logger 40 can be connected to one or more sensors 50. When a sensor 50 is connected, the data logger 40 recognizes the sensor type of each connected sensor 50 and transmits the recognition result, that is, sensor type information, to the data acquisition unit 26. The data logger 40 also acquires sensor data detected by each sensor 50 from each sensor 50 and transmits the acquired sensor data to the data acquisition unit 26. The data logger 40 may have a storage function (not shown) for temporarily storing the sensor data acquired from the sensor 50 before transmitting it to the data acquisition unit 26.

When the data acquisition unit 26 receives the sensor type information and sensor data transmitted from the data logger 40, it creates a timestamp and outputs the created timestamp to the data acquisition program 22a together with the received sensor type information and sensor data.

The time required for the sensor data detected by the sensor 50 to be transmitted from the sensor 50 to the data acquisition unit 26 via the data logger 40 is extremely short, so the timestamp can be considered as acquisition time information indicating the time when the sensor data was acquired by the sensor 50.

In FIG. 3, the data logger 40 is provided outside the graphing function calculator 10, but it may be built into the graphing function calculator 10.

In addition, if the data acquisition unit 26 can directly acquire the sensor data detected by the sensor 50 from the sensor 50, and the writable data area 22c can store this sensor data, the data logger 40 may be omitted and the sensor 50 may be directly connected to the data acquisition unit 26.

Here, regarding the teacher in charge of the experiment, for example, when there are multiple classes conducting experiments, one teacher (teacher A) may be in charge of all the classes, or multiple teachers may be in charge of all the classes, with each teacher being in charge of which class among the multiple teachers. In other words, there are two possible cases: (A) one teacher (teacher A) is in charge of all the classes conducting experiments, or (B) multiple teachers are in charge of all the classes conducting experiments. In addition, regarding the location where the students of class B conduct their experiments, for example, (C) there may be only one classroom where the experiment can be conducted, or (D) there may be multiple classrooms where the experiment can be conducted (i.e., multiple classes, including not only class B but also other classes, may be conducting experiments in parallel at the same time under the guidance of the teacher in charge of each class). In addition, regarding communication network 2, (E) there may be only one communication network available to the students, or (F) there may be multiple communication networks available to the students, such as the Internet or a school intranet. Considering these points, when a specific class conducts an experiment, there are multiple possible combinations of teacher terminals, such as the teacher terminal 3, and the communication network 2. Therefore, in order to set a combination of, for example, the communication network 2 used by the students of class B and the teacher terminal 3 of teacher A who is in charge of the experiment for class B, the network database 27 may store one piece of network identification information that identifies a predetermined communication network 2 with which the graphing scientific calculator 10 communicates and the teacher terminal 3. The one communication network 2 with which the graphing scientific calculator 10 communicates can be specified in advance by teacher A, for example.

Regarding how Teacher A specifies the communication network 2 to the students of Class B, for example, Teacher A simply needs to tell the students of Class B verbally or by writing on the blackboard about the communication network 2 (e.g., the Internet or a school intranet) that he and each student of Class B will use during the experiment. In this case, the students of Class B will set up the communication network 2 to be used during the experiment on their own student terminals 4 (#1 to #n). In addition, if the student terminals 4 (#1 to #n) of each student in Class B are able to exchange contact information with Teacher A's teacher terminal 3, for example by email or messenger, Teacher A can distribute information about the communication network 2 to be used in the experiment (for example, the Internet or a school intranet) to each student terminal 4 (#1 to #n) of each student in Class B via email or messenger, so that Teacher A can inform the students in Class B of the communication network 2 that Teacher A and each student in Class B will use during the experiment. In this case, the students in Class B will also set up the communication network 2 to be used during the experiment on their own student terminals 4 (#1 to #n). Furthermore, when the students of class B set up the communication network 2 provided by teacher A on their own student terminals 4 (#1-#n), the information about the communication network 2 provided by teacher A is not simply stored in the network database 27, but rather the students of class B may manually connect their own student terminals 4 (#1-#n) to the communication network 2 specified by teacher A and make it possible to transmit sensor data, etc. to the teacher terminal 3. Note that when the students of class B manually connect their own student terminals 4 (#1-#n) to the communication network 2 specified by teacher A and are able to transmit sensor data, etc. to the teacher terminal 3, subsequent processing (described below) related to the connection between the student terminals 4 (#1-#n) and the communication network 2 using at least the network identification information is not required.

In addition, in the case where there are multiple communication networks 2 available to the students of class B, the network database 27 may store multiple network identification information for identifying the communication network 2 and the teacher terminal 3 with which the graphing scientific calculator 10 can communicate, in order to accommodate any combination of the communication network 2 available to the students of class B and the teacher terminal 3 of teacher A. In addition, in the network database 27, in order to accommodate any combination of the communication network 2 available to the students of a specific class and any one of the teacher terminals of multiple teachers in charge of the experiment (multiple teacher terminals including not only the teacher terminal 3 of teacher A but also the teacher terminals of other teachers), the graphing scientific calculator 10 may store multiple network identification information for identifying a specific teacher terminal such as the teacher terminal 3 and the communication network 2 with which it can communicate. Note that the method of specifying the communication network 2 for the students of class B by teacher A may be the same as described above. When each student of class B receives instructions from teacher A regarding the communication network 2 to be used during the experiment, he/she may select and set the appropriate one from multiple combinations of the teacher terminal such as the teacher terminal 3 and the communication network 2. Furthermore, if the network database 27 stores multiple network identification information, the student terminal 4 may automatically determine and set the combination of the communication network 2 and the teacher terminal 3 that will be used by teacher A and each student in class B during the experiment according to predetermined criteria, as described below.

The network database 27 may store in advance any combination of teacher terminals, such as the teacher terminal 3, and the communication network 2 when a specific class is conducting an experiment, and when the students of class B receive instructions from teacher A regarding the communication network 2 that can be used during the experiment, each student of class B may select and set an appropriate combination from among any combinations of teacher terminals, such as the teacher terminal 3, and the communication network 2.

When the data acquisition program 22a acquires the sensor type information, sensor data, and timestamp from the data acquisition unit 26, it acquires the network identification information from the network database 27. If the network database 27 stores only one predetermined piece of network identification information, the data acquisition unit 26 acquires this network identification information.

On the other hand, if the network database 27 stores multiple pieces of network identification information, the data acquisition program 22a determines the communication network 2 and teacher terminal 3 with which the graphing scientific calculator 10 should communicate based on at least one of the sensor type information and the timestamp, in accordance with predetermined criteria, and acquires the corresponding network identification information.

As a judgment criterion, for example, if a current-voltage experiment is conducted in Professor A's class in the second period today (9:35 am to 10:20 am), and the timestamp is between 9:35 am and 10:20 am today, and the sensor type information is "current-voltage meter," then the network identification information that specifies Professor A's teacher terminal 3 and its dedicated communication network 2 is determined to be the network identification information that should be obtained from the network database 27.

Figure 4 is a diagram showing the data structure of the network database 27 that stores multiple pieces of network identification information. With such a data structure of the network database 27, it is possible to identify, based on the timestamp and sensor type information received from each student terminal 4, the network identification information to be acquired, which includes information identifying Teacher A's teacher terminal 3 and information identifying the communication network 2 to which students of class B can connect. Note that, if the network identification information is uniquely determined based on either the timestamp or the sensor type information, the network database 27 does not need to include the other of these pieces of information. Also, if the network identification information is uniquely determined regardless of the timestamp and the sensor type information, the network database 27 does not need to include both of these pieces of information. Furthermore, the identified network identification information may include only the minimum information required to identify a group, which will be described later, for example, at least information identifying Teacher A's teacher terminal 3.

After acquiring the network identification information from the network database 27 in this manner, the data acquisition program 22a further acquires user information from the user information storage area 22d, and outputs the acquired network identification information and user information together with the sensor type information, sensor data, and timestamp to the information addition program 22b.

When the information addition program 22b receives the network identification information, sensor type information, sensor data, timestamp, and user information output from the data acquisition program 22a, it adds the sensor type information, timestamp, network identification information, and user information to the sensor data, and outputs the sensor data with this information added to the communication unit 25.

When the communication unit 25 receives sensor data with the network identification information, sensor type information, timestamp, and user information added from the information addition program 22b, the communication unit 25 identifies the communication network 2 and the teacher's terminal 3 from the network identification information added to the sensor data. Then, when the communication unit 25 receives the sensor data with the network identification information, sensor type information, timestamp, and user information added, it transmits the sensor data to the teacher's terminal 3 via the identified communication network 2.

Figure 5 is a block diagram showing an example of the electronic circuit configuration of the teacher terminal 3.

The electronic circuitry of the teacher terminal 3 includes a CPU 31, which is a computer, a recording medium reading unit 32, a display 33, a communication unit 34, a key input unit 35, a memory 36, a judgment condition database 37, and a sensor data database 38.

Like the student terminals 4, the teacher terminal 3 can be configured as electronic devices such as tablet terminals, personal computers, smartphones, mobile phones, touch-screen personal digital assistants (PDAs), e-books, portable game consoles, etc.

The memory 36 stores a judgment program 36a, a classification program 36b, and a display control program 36c.

The CPU 31 controls the operation of each circuit component according to the judgment program 36a, classification program 36b, and display control program 36c, and executes various arithmetic processing in response to key input signals from the key input unit 35. The judgment program 36a, classification program 36b, and display control program 36c may be pre-stored in the memory 36, or may be read from an external recording medium 39 such as a memory card via the recording medium reading unit 32 and stored in the memory 36. The judgment program 36a, classification program 36b, and display control program 36c cannot be rewritten by the user by operating the key input unit 35.

In addition to such information that cannot be rewritten by the user, the memory 36 also has a writable data area 36d secured as an area for storing data that can be rewritten by the user. The writable data area 36d is an area for storing various data constituted by sequentially inputting key code data entered by the key input unit 35, as well as intermediate data generated by the processing performed by the determination program 36a, classification program 36b, and display control program 36c.

In the teacher terminal 3, the CPU 31 controls the operation of each part of the circuit according to the commands written in the judgment program 36a, classification program 36b, and display control program 36c, and the software and hardware work together to realize the functions described below.

The communication unit 34 receives the sensor data transmitted from the student terminal 4 via the communication network 2. As described above, the sensor type information, timestamp, network identification information, and user information are added to the sensor data transmitted from the student terminal 4. When the communication unit 34 receives such sensor data, it outputs it to the judgment program 36a.

The judgment condition database 37 stores judgment conditions that have been created in advance by a user in a leadership position, such as a teacher. For example, if teacher A wants to collect sensor data from each student terminal 4 obtained in a current-voltage experiment conducted in the second class today (9:35 a.m. to 10:20 a.m.), teacher A operates the key input unit 35 of the teacher terminal 3 to create a judgment condition that specifies network identification information including information about the communication network 2 and teacher terminal 3 used by each student terminal 4, the time range of the timestamp (9:35 a.m. to 10:20 a.m. today), and sensor type information (for example, "current-voltage meter"). The judgment condition created in this way is stored in the judgment condition database 37.

When sensor data to which sensor type information, a timestamp, network identification information, and user information have been added is output from the communication unit 34, the judgment program 36a refers to the judgment conditions stored in the judgment condition database 37 to judge whether the network identification information, the timestamp, and the sensor type information added to the sensor data satisfy the judgment conditions.

If the network identification information and sensor type information added to the sensor data match the network identification information and sensor type information specified in the judgment conditions, and the timestamp added to the sensor data is within the time range specified in the judgment conditions, the judgment program 36a judges that the sensor data satisfies the judgment conditions, and otherwise judges that the judgment conditions are not satisfied.

When the judgment program 36a determines that the sensor data meets the judgment conditions, it outputs the sensor data together with the added information to the classification program 36b. On the other hand, when the judgment program 36a determines that the sensor data does not meet the judgment conditions, it considers the sensor data to be invalid and discards it.

The classification program 36b classifies each piece of sensor data output from the judgment program 36a into groups, such as classes, that are determined by the contents of the judgment conditions used in the judgment in the judgment program 36a, i.e., the network identification information, acquisition time information, and sensor type information. Then, classification information that specifies which group (class) the sensor data belongs to is added to each piece of sensor data output from the judgment program 36a, and the data is stored in the sensor data database 38.

When a teacher teaches many lessons, sensor data will be sent to the teacher's terminal 3 from many student terminals 4 each time a lesson is held. Therefore, the teacher will usually store many judgment conditions in the judgment condition database 37 of the teacher's terminal 3. In this case, even if the sensor data satisfies the judgment conditions, it is necessary to identify which class the sensor data was acquired in. For this reason, the classification program 36b classifies the sensor data into groups by adding classification information, which is information indicating which judgment condition the sensor data satisfies, to the sensor data, and then outputs the classified sensor data to the sensor data database 38 for storage.

Figure 6 is a diagram showing the data structure of the judgment condition database 37, and Figure 7 is a diagram showing the data structure of the sensor data database 38. The judgment condition database 37 includes a judgment condition section 371 indicating the judgment condition, and a classification name section 372 indicating the group to be classified when the judgment condition is met, and these pieces of information are created in advance by the teacher. With such a data structure of the judgment condition database 37, the group to be classified can be identified based on the time stamp, sensor type information, and acquired network identification information received from each student terminal 4. As described above, when the network identification information is uniquely determined regardless of the time stamp and sensor type information, and when the network identification information includes only information identifying the teacher terminal 3, that is, does not include information identifying the communication network 2, the group to be classified may be identified based only on information identifying the teacher terminal 3. In addition, the sensor data identification information (indicated as students a, b, etc. in Figure 7) that identifies each of the multiple sensor data received from the multiple student terminals 4 and the identification information (lesson ID) of the identified group are associated with each other and stored as the sensor data database 38 with the data structure shown in Figure 7.

The display control program 36c retrieves sensor data belonging to the same group, i.e., sensor data to which the same classification information has been added, from the sensor data database 38, and displays a list of graphs created using each sensor data on the display 12.

Figure 8 is a conceptual diagram showing an example of multiple graphs created from sensor data belonging to the same class displayed in a list on the display 33 of the teacher's terminal 3.

Figure 8 shows examples of three current-voltage graphs (a), (b), and (c) created by sensor data acquired by three students, namely, student α, student β, and student γ, in a current-voltage experiment conducted in the same class to understand Ohm's law. In this embodiment, the current-voltage graphs and the information (user information) of the students are displayed in association with each other based on the sensor data acquired by each student and the user information added to the sensor data. More specifically, in the current-voltage graph (a), a current-voltage graph corresponding to the experimental results measured by student α and information (user information) 33a of student α are displayed together, in the current-voltage graph (b), a current-voltage graph corresponding to the experimental results measured by student β and information (user information) 33b of student β are displayed together, and in the current-voltage graph (c), a current-voltage graph corresponding to the experimental results measured by student γ and information (user information) 33c of student γ are displayed together. If the experiment is not conducted by each student in class B, but rather by dividing the students into groups and conducting the experiment in multiple groups, as shown in FIG. 9, it is preferable that information (user information) 33a of student α, information (user information) 33b of student β, and information (user information) 33c of student γ display not only the name of the student who operates the student terminal 4 to send sensor data, etc. to the teacher terminal 3, but also the experimental group to which the student belongs. As described above, the teacher terminal 3 displays a list of the results of experiments conducted by multiple students on the display 33.

Next, an example of the operation of the display system 1 according to this embodiment configured as described above will be described.

Figures 10A and 10B are flowcharts showing an example of the operation of the display system 1 according to the first embodiment.

Here, we will explain an example in which Teacher A conducts a current and voltage experiment for Class B in the second period (9:35 AM to 10:20 AM) on XX/##/2018, and each student in Class B sends the sensor data acquired in the experiment from their student terminal 4 to the teacher terminal 3.

In this case, first, Teacher A operates the key input unit 35 of the teacher terminal 3 to create a judgment condition that specifies the network identification information C including information about the teacher terminal 3 and information about the communication network 2 used by Teacher A and each student of class B, the time range of the time stamp (2018:XX:##:09:35:00:00 to 2018:XX:##:10:25:59:59) D, and the sensor type information E (current/voltage meter), and stores the judgment condition in the judgment condition database 37 (S1).

Furthermore, Teacher A notifies each student in Class B of the network identification information C from the communication unit 34 of the teacher's terminal 3 by, for example, e-mail or messenger to the graphing scientific calculator 10 of each student, and stores the network identification information C in the network database 27 of the graphing scientific calculator 10 of each student. Alternatively, Teacher A notifies each student in Class B of the network identification information C, for example, orally or by writing on the board, and each student in Class B stores the network identification information C in the network database 27 of their graphing scientific calculator 10 (S2). This completes the preparation before data acquisition. Note that, although FIG. 10A shows an example in which steps S1 and S2 are performed before the start of the experiment, steps S1 and S2 may be performed during or after the experiment, as long as they are performed before the sensor data is sent to the teacher's terminal 3. Furthermore, the method of storing the network identification information C in the network database 27 of each student's graphing scientific calculator 10 is not limited to the above, and other appropriate methods known to those skilled in the art may be used. Here, when the students of class B store the network identification information C notified by teacher A in the network database 27 of their respective graphing scientific calculators 10, the students of class B may further manually connect their respective graphing scientific calculators 10 to the communication network 2 (the communication network 2 notified by teacher A) based on the network identification information C, thereby making it possible to transmit sensor data, etc. to the teacher's terminal 3.

When the experiment is actually started, first, the data logger 40 is connected to the data acquisition unit 26 of the graphing scientific calculator 10 (student terminal 4), and then the sensor 50 is connected to the data logger 40 (S3). In this example, since a current-voltage experiment is being conducted, a current-voltage meter is connected to the data logger 40 as the sensor 50.

When the sensor 50 (current-voltage meter) is connected to the data logger 40, the data logger 40 recognizes that the type of the connected sensor 50 is a current-voltage meter, generates sensor type information (current-voltage meter) as the recognition result, and transmits it to the data acquisition unit 26 (S4).

Furthermore, when the current value and voltage value are detected by the sensor 50 (current-voltage meter), the sensor data, which is the detection result, is transmitted from the sensor 50 (current-voltage meter) to the data acquisition unit 26 via the data logger 40 (S5).

When the data acquisition unit 26 receives the sensor type information (current-voltage meter) and sensor data (current and voltage values) from the data logger 40, it creates a timestamp and outputs the created timestamp together with the sensor type information (current-voltage meter) and sensor data (current and voltage values) to the data acquisition program 22a (S6).

In addition, since the time required for the sensor data detected by the sensor 50 to be transmitted from the sensor 50 to the data acquisition unit 26 via the data logger 40 is extremely short, the timestamp can be considered as acquisition time information indicating the time when the sensor data was acquired by the sensor 50.

In the data acquisition program 22a, when the sensor type information (current/voltage meter), sensor data (current and voltage values), and timestamp are output from the data acquisition unit 26, network identification information C is acquired from the network database 27 (S7).

Here, the network database 27 is not limited to storing only one network identification information (for example, network identification information C), and may store multiple network identification information. When multiple network identification information is stored, the data acquisition program 22a acquires network identification information that defines the communication network 2 and teacher terminal 3 determined based on either the sensor type information or the timestamp according to a predetermined judgment criterion. In addition, in the above-mentioned step S2, when the students of class B manually connect their graphing function calculators 10 to the communication network 2 notified by teacher A and are in a state where they can send sensor data, etc. to the teacher terminal 3, network identification information including information on the connected communication network 2 and teacher terminal 3 of teacher A may be acquired.

The criteria for judgment may be, for example, if a current-voltage experiment is being conducted in Professor A's class in the second period today (9:35 am to 10:20 am), and if the timestamp is between 9:35 am and 10:20 am today and the sensor type information is "current-voltage meter," then the network identification information C that specifies Professor A's teacher terminal 3 and its dedicated communication network 2 should be set as the network identification information that the graphing scientific calculator 10 should acquire.

When the data acquisition program 22a acquires the network identification information C, it further acquires user information from the user information storage area 22d, and outputs the acquired network identification information C and user information to the information addition program 22b together with the corresponding sensor type information (current/voltage meter), sensor data (current and voltage values), and a timestamp.

When the data acquisition program 22a outputs the sensor data (current and voltage values), sensor type information (current-voltage meter), timestamp, network identification information C, and user information, the information addition program 22b adds the sensor type information (current-voltage meter), timestamp, network identification information C, and user information to the sensor data (current and voltage values), and outputs the sensor data (current and voltage values) to which this information has been added to the communication unit 25 (S8).

The communication unit 25 identifies the communication network 2 (e.g., the Internet or a school intranet) used by teacher A and each student of class B and teacher A's teacher terminal 3 from the network identification information C added to the sensor data (current value and voltage value) output from the information addition program 22b (S9). Then, the sensor data (current value and voltage value) to which the network identification information C, sensor type information (current voltage meter), timestamp, and user information are added is transmitted to teacher A's teacher terminal 3 via the identified communication network 2 (S10). Note that in the above-mentioned step S2, if the students of class B manually connect their respective graphing function calculators 10 to the communication network 2 notified by teacher A and are already in a state where they can transmit sensor data, etc. to the teacher terminal 3, the process of identifying the communication network 2 used by teacher A and each student of class B and teacher A's teacher terminal 3 is omitted here.

In Teacher A's teacher terminal 3, the sensor data (current and voltage values) transmitted from each student terminal 4 of Class B via the communication network 2 is received by the communication unit 34. As described above, this sensor data (current and voltage values) is supplemented with sensor type information (current-voltage meter), a time stamp, network identification information C (communication network), and user information. Such sensor data is further output from the communication unit 34 to the judgment program 36a.

When such sensor data (current and voltage values) is output from the communication unit 34, the judgment program 36a refers to the judgment conditions stored in the judgment condition database 37 to judge whether the network identification information C, timestamp, and sensor type information (current/voltage meter) added to the sensor data (current and voltage values) satisfy the judgment conditions (S11). Note that user information is not used here.

If the network identification information C and sensor type information (current-voltage meter) added to the sensor data match the network identification information C and sensor type information E (current-voltage meter) specified in the judgment condition, and the timestamp added to the sensor data is included in the time range D specified in the judgment condition, the judgment program 36a judges that the network identification information C, timestamp, and sensor type information (current-voltage meter) added to the sensor data (current value and voltage value) satisfy the judgment condition, and otherwise judges that the judgment condition is not satisfied.

When the judgment program 36a judges that the judgment condition is met (S11: Yes), the sensor data (current and voltage values) are output to the classification program 36b together with the added information, i.e., the network identification information C, the time stamp, the sensor type information (current and voltage meter), and the user information (S13).

On the other hand, if it is determined that the judgment condition is not met (S11: No), the sensor data is deemed invalid and is discarded by the judgment program 36a (S12).

After step S13, in the classification program 36b, each sensor data (current value and voltage value) output from the judgment program 36a is classified into a group (e.g., into a class) determined by the contents of the judgment conditions used in the judgment in the judgment program 36a, i.e., the network identification information C, the acquisition time information, and the sensor type information (current voltage meter) E (S14). Then, classification information specifying which group (class) each sensor data (current value and voltage value) belongs to is added to each sensor data (current value and voltage value) output from the judgment program 36a, and the sensor data is stored in the sensor data database 38. As a result, the sensor data (current value and voltage value) is stored in the sensor data database 38 with the group to which it belongs identified (S15).

Then, the display control program 36c obtains from the sensor data database 38 the sensor data (current values and voltage values) obtained in the same lesson, i.e., the sensor data (current values and voltage values) to which the same classification information has been added, and displays a list of graphs created from each sensor data (current values and voltage values) on the display 33, as shown in FIG. 8 (S16).

Figure 8 is a conceptual diagram showing an example of displaying on the display 33 a list of multiple graphs created from sensor data acquired during the same lesson.

Figure 8 shows three current-voltage graphs (a), (b), and (c) created from sensor data (current and voltage values) acquired by three students, namely, student α, student β, and student γ, in a current-voltage experiment conducted in the same class to understand Ohm's law. Here, for example, in the current-voltage graph (a), a current-voltage graph corresponding to the experimental results measured by student α and information (user information) 33a of student α are displayed together, in the current-voltage graph (b), a current-voltage graph corresponding to the experimental results measured by student β and information (user information) 33b of student β are displayed together, and in the current-voltage graph (c), a current-voltage graph corresponding to the experimental results measured by student γ and information (user information) 33c of student γ are displayed together. Note that the information (user information) of each student α, β, and γ is displayed in the peripheral portion, or in the upper portion in this embodiment, of the current-voltage graph corresponding to the experimental results measured by students α, β, and γ, respectively.

In this current-voltage experiment, students α, β, and γ were each given a resistor with a different resistance value, and the current and voltage flowing through the series circuit via the resistor were measured as sensor data by a current-voltage meter, which is sensor 50. The current-voltage graphs (a), (b), and (c) shown in Figure 8 were created based on the sensor data measured in this way.

As described above, in the display system 1 according to this embodiment, due to the above-mentioned action, it is possible to automatically determine that the sensor data transmitted from the student terminal 4 of each student in class B is sensor data acquired in the same lesson of the same class, based on three conditions, namely, network identification information, acquisition time information, and sensor type information.

Therefore, Teacher A is freed from the trouble of checking whether the sensor data sent from the student terminals 4 of each student in Class B was acquired during the same lesson. This allows Teacher A to use his valuable lesson time for actual teaching, without wasting it on checking sensor data.

Furthermore, by displaying on display 33 a list of current-voltage graphs generated from the sensor data acquired by each of the multiple students in class B, teacher A can get an overview of the multiple current-voltage graphs. As a result, for example, it becomes easy to understand from the displayed user information which students were able to perform the experiment correctly and which students were not able to. Furthermore, by showing each student in class B the multiple current-voltage graphs displayed on display 33 as shown in FIG. 8, for example, teacher A can more easily explain Ohm's law to each student in class B.

On the other hand, by looking at the list display as shown in Figure 8 on the display 33 of the teacher's terminal 3, each student in class B can easily understand that in a series circuit, the current and voltage are proportional to each other, and that the slope of the relationship is determined by the type of resistor (resistance value).

In this way, the display system 1 according to this embodiment not only reduces the teacher's workload and allows the teacher to spend more time on actual lessons, but also quickly and easily provides the information necessary to help students understand, thereby contributing to the realization of more efficient lessons.

Second Embodiment
A display system according to a second embodiment will be described.

The second embodiment is a modified version of the first embodiment. Therefore, in the following, we will avoid repeating what was explained in the first embodiment and will explain the differences from the first embodiment. Therefore, the same components are numbered the same as in the first embodiment.

Figure 11 is a conceptual diagram showing an example configuration of a display system 1 according to the second embodiment.

Figure 12 is a block diagram showing an example of the configuration of the electronic circuit of a graphing scientific calculator 10 that can be used as a student terminal 4 in the second embodiment.

In this embodiment, as shown in FIG. 11, a camera 60, such as a digital camera, is connected to the student terminal 4. FIG. 12 shows a configuration in which the camera 60 is connected to a graphing function calculator 10, which is an example of a student terminal 4.

Note that FIG. 11 is the same as FIG. 1 except that a camera 60 is connected to the student terminal 4. Also, FIG. 12 is the same as FIG. 3 except that a camera 60 is connected to the data acquisition unit 26.

The camera 60 captures still or video images in response to operations performed by the user (student), adds image capture time information to the captured image data, and outputs the captured image data to the data acquisition unit 26. Note that the camera 60 does not need to be connected to the data acquisition unit 26 at all times, and only needs to be connected to the data acquisition unit 26 when transferring captured image data to the data acquisition unit 26.

As a result, in addition to the sensor type information and sensor data from the data logger 40, imaging data with imaging time information added from the camera 60 is also output to the data acquisition unit 26.

When the data acquisition unit 26 outputs the sensor type information and sensor data together with a timestamp to the data acquisition program 22a, it also outputs the imaging data from the camera 60 with the imaging time information added.

As a result, the data acquisition program 22a acquires from the data acquisition unit 26 not only the sensor type information, sensor data, and timestamp, but also imaging data with imaging time information added.

The data acquisition program 22a further acquires network identification information C from the network database 27 as described in the first embodiment, and acquires user information from the user information storage area 22d, and outputs the acquired network identification information C and user information to the information addition program 22b together with the imaging data to which the sensor type information, sensor data, timestamp, and imaging time information have been added.

When the information addition program 22b receives imaging data to which the network identification information C, sensor type information, sensor data, timestamp, user information, and imaging time information have been added, which are output from the data acquisition program 22a, the information addition program 22b adds the sensor type information, timestamp, network identification information, and user information to the sensor data and outputs the data to the communication unit 25. The information addition program 22b also outputs the imaging data to which the imaging time information has been added to the communication unit 25.

As described in the first embodiment, the communication unit 25 identifies the communication network 2 and the teacher's terminal 3 from the network identification information added to the sensor data. The communication unit 25 then transmits the sensor data to which the network identification information, sensor type information, timestamp, and user information have been added, and the imaging data to which the imaging time information has been added, to the teacher's terminal 3 via the communication network 2 that has been identified. As in the first embodiment, if the students of class B manually connect their graphing scientific calculators 10 to the communication network 2 notified by teacher A and are already in a state where they can send sensor data, etc. to the teacher's terminal 3, the process of identifying the communication network 2 used by teacher A and each student of class B and teacher A's teacher's terminal 3 is not necessary.

As shown in FIG. 5, when the communication unit 34 of Teacher A's teacher terminal 3 receives this information transmitted from the communication unit 25 of each student in Class B, the communication unit 34 outputs the sensor data to which the network identification information, sensor type information, timestamp, and user information have been added, together with the imaging data to which the imaging time information has been added, to the judgment program 36a.

The determination program 36a performs the process described in the first embodiment. In this process, imaging data with imaging time information added is not used.

As described in the first embodiment, the classification program 36b adds classification information to each piece of sensor data output from the determination program 36a and stores the data in the sensor data database 38. In this embodiment, the sensor data to which the classification information has been added is further stored in the sensor data database 38 together with the imaging data to which imaging time information has been added, which has been received by the communication unit 34 together with the sensor data.

As described in the first embodiment, the display control program 36c acquires sensor data with the same classification information added from the sensor data database 38, and displays a list of graphs created from each piece of sensor data on the display 33. In this embodiment, the display control program 36c further displays a list of imaging data received by the communication unit 34 together with the sensor data, together with the added imaging time information, in association with the graphs.

Figure 13 is a conceptual diagram showing an example of a list of multiple graphs created using sensor data with the same classification information (e.g., the same class) added, along with the imaging data and imaging time information received by the communication unit 34 together with the sensor data.

Figure 13 shows an example of three neutralization curves (a-1), (b-1), (c-1) created from sensor data acquired by three students, namely student α, student β, and student γ, in a neutralization titration experiment conducted in the same class, as well as imaging data (a-2), (b-2), (c-2) during the experiment, and imaging time information (a-3), (b-3), (c-3). The imaging data may be still images or videos. If the imaging data is a video, seek bars (a-4), (b-4), and (c-4) indicating the playback position of the video are displayed around the imaging time information (a-3), (b-3), and (c-3), for example, below the imaging time information (a-3), (b-3), and (c-3).

Next, an example of the operation of the display system 1 according to this embodiment configured as described above will be described.

Figures 14A and 14B are flowcharts showing an example of the operation of the display system 1 according to the second embodiment.

In Figures 14A and 14B, the same operations as those in Figures 10A and 10B are given the same step numbers as those in Figures 10A and 10B to simplify the explanation. Furthermore, operations similar to those in Figures 10A and 10B are shown with step numbers that clarify the corresponding similar operations in Figures 10A and 10B, for example, by showing an operation similar to "S3" as "S3A."

Here, we will explain an example in which teacher A conducts a neutralization titration experiment for class B during the second period (9:35 AM to 10:20 AM) on XX/##/2018, in which an acetic acid solution to which a small amount of phenolphthalein solution has been added is titrated with a sodium hydroxide (NaOH) solution, and each student sends the sensor data (pH) acquired in the experiment and the imaging data (video data during the titration) with the imaging time information added from the student terminal 4 to the teacher terminal 3.

Below, we briefly explain the procedure for a typical neutralization titration experiment using Figure 15.

As shown in Figure 15(a), the amount of acetic acid specified by the teacher is accurately taken with a volumetric pipette 200 and placed in a conical beaker 210.

Next, as shown in FIG. 15(b), add 1 to 2 drops of phenolphthalein solution 220 to the acetic acid solution in the conical beaker 210, and then insert the rotor 230.

Next, as shown in FIG. 15(c), the conical beaker 210 is placed on the stirrer 240, and the stirrer 240 is started to stir the solution with the rotor 230 while dropping the sodium hydroxide solution drop by drop from the burette 250. The pH sensor 260 measures the pH of the solution in the conical beaker 210.

Phenolphthalein solution is colorless and transparent in acidic solution and deep red in alkaline solution. Therefore, the end of the neutralization reaction can be confirmed by observing the color of the solution. Camera 60 captures a video of the solution in conical beaker 210 during titration.

By operating the key input unit 35 of the teacher terminal 3, teacher A creates a judgment condition that specifies the information about the teacher terminal 3, the network identification information C including the information about the communication network 2 used by teacher A and each student of class B, the time range of the time stamp (2018:XX:##:09:35:00:00 to 2018:XX:##:10:25:59:59) D, and the sensor type information E (pH sensor), and stores the judgment condition in the judgment condition database 37 (S1A).

Teacher A notifies each student in class B of the network identification information C from the communication unit 34 of the teacher's terminal 3 by e-mail, messenger, or the like, and stores the network identification information C in the network database 27 of each student's graphing scientific calculator 10. Alternatively, Teacher A notifies each student in class B of the network identification information C, for example orally or by writing on the blackboard, and the students in class B store the network identification information C in the network database 27 of their own graphing scientific calculator 10 (S2). Note that steps S1A and S2 may be performed during or after the experiment, as in the first embodiment, as long as they are performed before the sensor data is sent to the teacher's terminal 3. Here, when the students of class B store the network identification information C notified by teacher A in the network database 27 of their respective graphing scientific calculators 10, the students of class B may further manually connect their respective graphing scientific calculators 10 to the communication network 2 notified by teacher A, making it possible to transmit sensor data, etc. to the teacher's terminal 3.

When an experiment is started, the data logger 40 is connected to the data acquisition unit 26 of the graphing scientific calculator 10, and the sensor 50 (pH sensor) is further connected to the data logger 40 (S3).

When the sensor 50 (pH sensor) is connected to the data logger 40, the data logger 40 recognizes that the connected sensor 50 is a pH sensor, and transmits the sensor type information (pH sensor) that is the recognition result to the data acquisition unit 26 (S4).

Furthermore, when the pH of the solution is detected by the sensor 50 (pH sensor), the sensor data representing the detection result is transmitted from the sensor 50 (pH sensor) to the data acquisition unit 26 via the data logger 40. In addition, the user (student) can capture still images or videos during the experiment by operating the camera 60. When the user (student) operates the camera 60 to capture still images or videos during the experiment, the camera 60 creates imaging data, and further adds imaging time information to the imaging data. When the camera 60 is connected to the data acquisition unit 26, the imaging data with the added imaging time information can be output from the camera 60 to the data acquisition unit 26 (S5A).

When the data acquisition unit 26 receives the sensor type information (pH sensor) and the sensor data (pH) from the data logger 40, a timestamp is created (S6A). The created timestamp is output from the data acquisition unit 26 to the data acquisition program 22a together with the sensor type information (pH sensor) and the sensor data (pH). In addition, the imaging data with the imaging time information added is also output to the data acquisition program 22a.

In the data acquisition program 22a, when the sensor type information (pH sensor), sensor data (pH), and timestamp are output from the data acquisition unit 26, the network identification information C is acquired from the network database 27 (S7).

When the data acquisition program 22a acquires the network identification information C, it further acquires user information from the user information storage area 22d, and outputs the acquired network identification information C and user information to the information addition program 22b together with the sensor type information (pH sensor), sensor data (pH), timestamp, and imaging data to which imaging time information has been added.

When the information addition program 22b receives imaging data to which the network identification information C, sensor type information (pH sensor), sensor data (pH), timestamp, user information, and imaging time information output from the data acquisition program 22a have been added, the information addition program 22b adds the sensor type information (pH sensor), timestamp, network identification information C, and user information to the sensor data (pH) and outputs the resulting data to the communication unit 25. The imaging data to which the imaging time information has been added is also output to the communication unit 25 (S8A).

The communication unit 25 identifies the communication network 2 (e.g., the Internet or a school intranet) used by teacher A and each student of class B and teacher A's teacher terminal 3 from the network identification information C added to the sensor data (pH) output from the information addition program 22b (S9). Then, the sensor data (pH) to which the network identification information C, sensor type information (pH sensor), timestamp, and user information are added, and the imaging data to which the imaging time information is added, are transmitted to teacher A's teacher terminal 3 via the identified communication network 2 (S10A). Note that in the above-mentioned step S2, if the students of class B manually connect their respective graphing function calculators 10 to the communication network 2 notified by teacher A and are already in a state where they can transmit sensor data, etc. to the teacher terminal 3, the process of identifying the communication network 2 used by teacher A and each student of class B and teacher A's teacher terminal 3 is omitted here.

In Teacher A's teacher terminal 3, the information transmitted from each student terminal 4 of Class B via the communication network 2 is received by the communication unit 34. Furthermore, the communication unit 34 outputs the network identification information C, the sensor type information (pH sensor), the sensor data (pH) to which a timestamp and user information have been added, together with the imaging data to which imaging time information has been added, to the judgment program 36a.

When the sensor data (pH) is output from the communication unit 34, the judgment program 36a refers to the judgment conditions stored in the judgment condition database 37 to determine whether the network identification information C, timestamp, and sensor type information (pH sensor) added to the sensor data (pH) satisfy the judgment conditions (S11).

When the judgment program 36a judges that the judgment condition is met (S11: Yes), the sensor data (pH) is output to the classification program 36b together with the added information, i.e., the network identification information C, the time stamp, the sensor type information (pH), and the user information (S13).

On the other hand, if it is determined that the judgment condition is not met (S11: No), the sensor data is deemed invalid and is discarded by the judgment program 36a (S12).

After step S13, in the classification program 36b, each sensor data (pH) output from the judgment program 36a is classified into a group, such as a class, determined by the network identification information C, acquisition time information, and sensor type information (pH sensor) E (S14), and stored in the sensor data database 38. In addition, the sensor data (pH) classified into the same group is stored in the sensor data database 38 together with the imaging data to which imaging time information received by the communication unit 34 together with the sensor data (pH) is added (S15A).

Then, the display control program 36c obtains the sensor data (pH) obtained in the same lesson, i.e., the sensor data (pH) to which the same classification information is added, from the sensor data database 38, and the graphs created by each sensor data (pH) are displayed in a list on the display 33 in association with the user information, as exemplified in (a-1), (b-1), and (c-1) of FIG. 13. In this embodiment, furthermore, the imaging data (a-2), (b-2), and (c-2) received by the communication unit 34 together with the sensor data (pH) and stored in the sensor data database 38 are displayed in a list on the display 33 in association with the graphs, together with the added imaging time information (a-3), (b-3), and (c-3) (S16A).

In FIG. 13, three neutralization curves (a-1), (b-1), (c-1) created from sensor data (pH) acquired by three students, namely student α, student β, and student γ, in a neutralization titration experiment conducted in the same class, user information 33a, 33b, and 33c, (video data) (a-2), (b-2), and (c-2) that are image data during the experiment, and image capture time information (a-3), (b-3), and (c-3) are displayed as an example. In addition, if the image capture data is video data, seek bars (a-4), (b-4), and (c-4) that indicate the playback position of the video are also displayed around the image capture time information (a-3), (b-3), and (c-3), and in this embodiment, below the image capture time information (a-3), (b-3), and (c-3).

Curve (a-1) shows an example where the amount of sodium hydroxide titrated was insufficient and the experiment was terminated before neutralization. In this case, the pH only changed to about 6, and video data (a-2) from the experiment confirms that the color of the solution remained colorless and transparent from before the experiment until its end.

Curve (b-1) shows an example of a neutralized state where the titration amount of sodium hydroxide (approximately 10 mL) is appropriate. At the neutralization point obtained by titrating the sodium hydroxide aqueous solution, the pH changes rapidly from approximately 6 to approximately 12. Curve (b-1) shows this. Video data (b-2) from the experiment shows that the color of the solution, which was colorless before the experiment, eventually changes to a light red color.

Curve (c-1) shows an example of a state in which the solution becomes alkaline because sodium hydroxide continues to be added even after the neutralization point is reached. It can be seen that when more sodium hydroxide is added from the titration amount (about 10 mL) of the aqueous sodium hydroxide solution at which the pH rises sharply from about 6 to about 12, the pH also rises accordingly, and the solution becomes more alkaline.

From the video data (c-2) during the experiment corresponding to curve (c-1), it can be seen that the color of the solution was colorless before the experiment, turned light red when sodium hydroxide (approximately 10 mL) was added, and that as sodium hydroxide was continued to be added, the red color gradually became darker.

For each of the video data (a-2), (b-2), and (c-2), the capture time at which playback should begin after the operation can be arbitrarily set by operating the seek bars (a-4), (b-4), and (c-4) displayed around (below) the data.

As shown in FIG. 13, Teacher A can display on display 33 a list of neutralization curves generated from the sensor data (pH) acquired by each of the multiple students in class B, imaging data, etc., along with user information, and check them from a bird's-eye view to see, for example, which students performed the experiment correctly and which students did not. Furthermore, by showing each student in class B the information displayed in a list on display 33 as shown in FIG. 13, Teacher A can provide more efficient lessons.

On the other hand, each student in class B can also better understand the contents of the experiment by looking at the information shown in FIG. 13, which is displayed as a list on the display 33 of the teacher's terminal 3. In particular, in this embodiment, not only graphs but also imaging data can be displayed, so that the added visual effect allows each student in class B to have a deeper understanding of the contents of the experiment.

In the above, an example was described in which the imaging data was video data, but the same can be achieved even if the imaging data is still image data. In this case, the display of the seek bars (a-4), (b-4), and (c-4) is omitted.

When the captured image data is still image data, the number of still image data corresponding to one neutralization curve is not limited to one. For example, in an experiment in which it is important to confirm the change in the color of the solution, such as the neutralization titration experiment described above, it is desirable to capture at least two still image data, one before the color of the solution changes and one after the change, and display them on the display 12 of the teacher's terminal 3.

In such a case, as shown in FIG. 16, the display control program 36c may determine the order in which each still image data was captured from the capture time information added to the still image data, and may display two still image data (a-2), (b-2), and (c-2) in chronological order around the corresponding curves (a-1), (b-1), and (c-1), in this case below the curves (a-1), (b-1), and (c-1).

Alternatively, if there is a large amount of still image data captured corresponding to one neutralization curve and it is difficult to display them simultaneously as in FIG. 16, the display control program 36c may determine the order in which each still image data was captured from the capture time information added to the still image data, and slide-display the still image data in chronological order around the corresponding curves (a-1), (b-1), and (c-1), for example below the curves (a-1), (b-1), and (c-1).

As described above, according to the display system 1 of the second embodiment, as shown in, for example, Figures 13 and 16, not only can graphs created from sensor data obtained in an experiment be displayed on the display 33 of the teacher's terminal 3, but still images and videos related to the experiment can also be displayed. This not only enables teachers to provide more meaningful lessons to students, but also enables students to gain a deeper understanding of the content of the experiment.

The present invention is not limited to each embodiment, and various modifications can be made in the implementation stage without departing from the gist of the invention. Furthermore, each embodiment includes inventions at various stages, and various inventions can be extracted by appropriate combinations of the multiple constituent elements disclosed. For example, even if some constituent elements are deleted from all the constituent elements shown in each embodiment, or some constituent elements are combined in a different form, if the problem described in the "Problem to be Solved by the Invention" column can be solved and the effect described in the "Effect of the Invention" column can be obtained, the configuration in which the constituent elements are deleted or combined can be extracted as the invention.

The inventions described in the original claims of this application are set forth below.

[1]
receiving, via a communication network, one or more sets of data output from at least one data output device, each set of data including sensor data acquired by at least one sensor and first identification information for identifying the data processing device;
determining whether the first identification information included in the one or more sets of received data satisfies a predetermined condition;
classifying the one or more sets of data determined to satisfy the condition into the same group;
generating and outputting an output file based on the one or more sets of data classified into the same group;
A data processing device comprising a control unit.

[2]
creating the predetermined condition including the first identification information;
In the process related to the determination, it is determined whether or not the first identification information of any one of the one or more sets of data received satisfies the created predetermined condition.
The data processing device according to claim 1.

[3]
receiving, in the process related to the reception, the one or more sets of data, each set of data further including one piece of second identification information identifying one communication network to which one of the data output devices that has output the one set of data is connected;
In the process of creating the predetermined condition, the predetermined condition is created, the predetermined condition including the first identification information and the second identification information;
In the process related to the determination, it is determined whether or not the first identification information and the second identification information of any set of data of the one or more sets of data received satisfy the created predetermined condition.
The data processing device according to [2].

[4]
receiving, in the process related to the reception, the one or more sets of data, each set of data further including at least one piece of acquisition time information indicating a time when the sensor data was acquired by the at least one sensor and at least one piece of sensor type information indicating a type of the at least one sensor;
In the process of creating the predetermined condition, the predetermined condition is created, the predetermined condition including at least one of time range information indicating a time range and sensor type information indicating a type of the sensor;
In the process related to the determination, it is determined whether or not the first identification information, the acquisition time information, and the sensor type information of any one of the one or more sets of data received satisfy the created predetermined condition.
A data processing device according to [2] or [3].

[5]
receiving the one or more sets of data, each set of data further including at least one image capture data item including image capture time information;
In the process of outputting, the output file in which the at least one sensor data and the at least one imaging data are associated with each other is generated based on at least one piece of acquisition time information indicating a time when the at least one sensor data was acquired and at least one piece of imaging time information included in the at least one imaging data, and the output file is output.
A data processing device according to any one of [1] to [4].

[6]
A method executed by a controller of a data processing device, comprising:
receiving, via a communication network, one or more sets of data output from at least one data output device, each set of data including sensor data acquired by at least one sensor and first identification information identifying the data processing device;
determining whether the first identification information included in the one or more sets of received data satisfies a predetermined condition;
classifying the one or more sets of data determined to satisfy the condition into the same group;
generating and outputting an output file based on the one or more sets of data classified into the same group;
(c) a method of processing data,

[7]
The control unit of the data processing device
receiving, via a communication network, one or more sets of data output from at least one data output device, each set of data including sensor data acquired by at least one sensor and first identification information for identifying the data processing device;
determining whether or not the first identification information included in the one or more sets of received data satisfies a predetermined condition;
classifying the one or more sets of data that are determined to satisfy the condition into the same group;
generating and outputting an output file based on the one or more sets of data classified into the same group;
program.

[8]
A method executed by a data processing system including a data processing device and a plurality of information processing terminals communicatively connected to the data processing device via a communication network, comprising:
Each of the plurality of information processing terminals
transmitting one or more sets of data via the communications network, each set of data including sensor data acquired by at least one sensor and first identification information identifying the data processing device;
The data processing device,
receiving the one or more sets of data output from each of the information processing terminals via the communication network;
determining whether the first identification information included in the one or more sets of received data satisfies a predetermined condition;
classifying the one or more sets of data determined to satisfy the condition into the same group;
generating and outputting an output file based on the one or more sets of data classified into the same group;
(c) a method of processing data,

[9]
A program for operating a plurality of control units included in a data processing system including a data processing device and a plurality of information processing terminals communicably connected to the data processing device via a communication network, the program comprising:
By a control unit of each of the plurality of information processing terminals,
transmitting one or more sets of data over the communications network, each set of data including sensor data acquired by at least one sensor and first identification information identifying the data processing device;
The control unit of the data processing device
receiving the one or more sets of data output from each of the information processing terminals via the communication network;
determining whether or not the first identification information included in the one or more sets of received data satisfies a predetermined condition;
classifying the one or more sets of data determined to satisfy the condition into the same group;
generating and outputting an output file based on the one or more sets of data classified into the same group;
program.

1. Display system 2. Communication network 3. Teacher's terminal 4. Student's terminal 10. Graph function calculator 11. Key input section 12. Display 22. Memory 22a. Data acquisition program 22b. Information addition program 22c. Writable data area 22d. User information storage area 24. Recording medium reading section 25. Communication section 26. Data acquisition section 27. Network database 32. Recording medium reading section 33. Display 33a. User information 33b. User information 33c. User information 34. Communication section 35. Key input section 36. Memory 36a. Judgment program 36b. Classification program 36c: Display control program 36d: Writeable data area 37: Determination condition database 38: Sensor data database 39: External recording medium 40: Data logger 50: Sensor 60: Camera 111: Numerical value and arithmetic symbol keys 112: Function function keys 113: Mode setting keys 114: Function keys 115: Cursor keys 200: Volumetric pipette 210: Conical beaker during titration 210: Conical beaker 220: Phenolphthalein solution 230: Rotor 240: Stirrer 250: Burette 260: Sensor 371: Determination condition section 372: Classification name section

Claims (11)

receiving, via a communication network, one or more sets of data output from at least one data output device, each set of data including sensor data acquired by a sensor, first identification information identifying a data processing device that is to receive the data, and second identification information identifying a communication network to which the data processing device is connected;
Setting a condition including the first identification information and the second identification information;
determining whether or not the first identification information and the second identification information included in the one or more sets of received data satisfy the set condition;
classifying the one or more sets of data determined to satisfy the condition into the same group;
generating and outputting an output file based on the one or more sets of data classified into the same group;
A data processing device comprising a control unit. receiving, via a communication network, one or more sets of data output from at least one data output device, each set of data including sensor data acquired by a sensor, first identification information for identifying a data processing device that is to receive the data, and second identification information for indicating a time at which the sensor data was acquired or a type of sensor that acquired the sensor data;
Setting a condition including the first identification information and the second identification information;
determining whether or not the first identification information and the second identification information included in the one or more sets of received data satisfy the set condition;
classifying the one or more sets of data determined to satisfy the condition into the same group;
generating and outputting an output file based on the one or more sets of data classified into the same group;
A data processing device comprising a control unit. receiving, via a communication network, one or more sets of data output from at least one data output device, each set of data including sensor data acquired by a sensor, acquisition time information indicating a time when the sensor data was acquired, first identification information for identifying a data processing device that is to receive the data, imaging data captured by an imaging means, and imaging time information indicating a time when the imaging data was captured;
determining whether the first identification information included in the one or more sets of received data satisfies a set condition;
classifying the one or more sets of data determined to satisfy the condition into the same group;
generating an output file in which the sensor data and the imaging data are associated with each other based on the acquisition time information and the imaging time information in the one or more sets of data classified into the same group, and outputting the output file;
A data processing device comprising a control unit. There are a plurality of the data processing devices;
Each of said data processing devices comprises:
storing information on groups to be classified in association with different combinations of time range information indicating a time range during which the sensor data was acquired and sensor type information indicating a type of the sensor;
when receiving information indicating a combination of the time range information and the sensor type information together with the sensor data, classifying the sensor data transmitted from each of the data output devices into a plurality of groups based on the group information stored in correspondence with the received information indicating the combination of the time range information and the sensor type information;
The data output device is
storing network identification information including the first identification information for identifying the data processing device and the second identification information for identifying the communication network, in association with each of different combinations of the time range information and the sensor type information;
when a plurality of pieces of network identification information are stored, selecting the network identification information stored corresponding to a specified combination of the time range information and the sensor type information, and transmitting the sensor data together with information indicating the specified combination of the time range information and the sensor type information to the data processing device via a communication network corresponding to the selected network identification information.
2. A data processing apparatus according to claim 1. A data processing system including a plurality of data output devices that output sensor data, and a plurality of data processing devices that process the sensor data,
The data output device is
storing identification information for identifying the data processing device or the communication network in association with each of different combinations of time range information indicating a time range in which the sensor data was acquired and sensor type information indicating a type of the sensor that acquired the sensor data;
When a plurality of pieces of identification information are stored, the identification information stored corresponding to a specified combination of the time range information and the sensor type information is selected, and the acquired sensor data is transmitted to the data processing device via a communication network corresponding to the selected identification information together with information indicating the specified combination of the time range information and the sensor type information;
The data processing device includes:
storing information on groups to be classified in association with different combinations of the time range information and the sensor type information;
when receiving information indicating a combination of the time range information and the sensor type information together with the sensor data from each of the plurality of data output devices via a communication network, classifying the sensor data transmitted from each of the data output devices into a plurality of groups based on the group information stored in correspondence with the received information indicating the combination of the time range information and the sensor type information;
Data processing system. A method executed by a controller of a data processing device, comprising:
receiving, via a communication network, one or more sets of data output from at least one data output device, each set of data including sensor data acquired by a sensor, first identification information identifying a data processing device that is to receive the data, and second identification information identifying a communication network to which the data processing device is connected;
Setting a condition including the first identification information and the second identification information;
determining whether or not the first identification information and the second identification information included in the one or more sets of received data satisfy the set condition;
classifying the one or more sets of data determined to satisfy the condition into the same group;
generating and outputting an output file based on the one or more sets of data classified into the same group;
(c) a method of processing data, The control unit of the data processing device
receiving, via a communication network, one or more sets of data output from at least one data output device, each set of data including sensor data acquired by a sensor, first identification information for identifying a data processing device that is to receive the data, and second identification information for identifying a communication network to which the data processing device is connected;
Setting a condition including the first identification information and the second identification information;
determining whether or not the first identification information and the second identification information included in the one or more sets of received data satisfy the set condition;
classifying the one or more sets of data that are determined to satisfy the condition into the same group;
generating and outputting an output file based on the one or more sets of data classified into the same group;
program. A method executed by a controller of a data processing device, comprising:
receiving, via a communication network, one or more sets of data output from at least one data output device, each set of data including sensor data acquired by a sensor, first identification information for identifying a data processing device that is to receive the data, and second identification information for indicating a time at which the sensor data was acquired or a type of sensor that acquired the sensor data;
Setting a condition including the first identification information and the second identification information;
determining whether or not the first identification information and the second identification information included in the one or more sets of received data satisfy the set condition;
classifying the one or more sets of data determined to satisfy the condition into the same group;
generating and outputting an output file based on the one or more sets of data classified into the same group;
(c) a method of processing data, The control unit of the data processing device
receiving, via a communication network, one or more sets of data output from at least one data output device, each set of data including sensor data acquired by a sensor, first identification information for identifying a data processing device that is to receive the data, and second identification information for indicating a time at which the sensor data was acquired or a type of sensor that acquired the sensor data;
Setting a condition including the first identification information and the second identification information;
determining whether or not the first identification information and the second identification information included in the one or more sets of received data satisfy the set condition;
classifying the one or more sets of data that are determined to satisfy the condition into the same group;
generating and outputting an output file based on the one or more sets of data classified into the same group;
program. A method executed by a controller of a data processing device, comprising:
receiving, via a communication network, one or more sets of data output from at least one data output device, each set of data including sensor data acquired by a sensor, acquisition time information indicating a time when the sensor data was acquired, first identification information for identifying a data processing device that is to receive the data, imaging data captured by an imaging means, and imaging time information indicating a time when the imaging data was captured;
determining whether the first identification information included in the one or more sets of received data satisfies a set condition;
classifying the one or more sets of data determined to satisfy the condition into the same group;
generating an output file in which the sensor data and the imaging data are associated with each other based on the acquisition time information and the imaging time information in the one or more sets of data classified into the same group, and outputting the output file;
(c) a method of processing data, The control unit of the data processing device
receiving, via a communication network, one or more sets of data output from at least one data output device, each set of data including sensor data acquired by a sensor, acquisition time information indicating the time when the sensor data was acquired, first identification information for identifying a data processing device that is to receive the data, imaging data captured by an imaging means, and imaging time information indicating the time when the imaging data was captured;
determining whether or not the first identification information included in the one or more sets of received data satisfies a set condition;
classifying the one or more sets of data that are determined to satisfy the condition into the same group;
generating an output file in which the sensor data and the imaging data are associated with each other based on the acquisition time information and the imaging time information in the one or more sets of data classified into the same group, and outputting the output file;
program.