JP7601552B2 - Determination system, determination method, and determination program - Google Patents

Description

The present invention relates to a decision system, a decision method, and a decision program.

Conventionally, disaster prevention systems have been known that provide disaster prevention services by communicating between multiple disaster prevention devices (for example, Patent Document 1).

JP 2019-16406 A

Incidentally, in general, to provide or receive a service, including the disaster prevention system of Patent Document 1, it is necessary to introduce technology (e.g., various devices and systems) to realize the service.

However, when it came to introducing technology, the decision on whether to introduce it or not had to be based on the subjective judgment of the person in charge, which could lead to an inappropriate decision on the introduction of the technology.

The present invention has been made in consideration of the above problems, and aims to provide a decision-making system, decision-making method, and decision-making program that can make appropriate decisions about the introduction of technology.

In order to solve the above-mentioned problems and achieve the object, the determination system described in claim 1 includes an acquisition means for acquiring target service information that identifies a target service that is a service to be realized among a plurality of services , and a determination means for determining the importance of each of a plurality of devices or systems that are options for realizing a function corresponding to the target service identified by the target service information acquired by the acquisition means, based at least on the importance of each of the facilities corresponding to the target service identified by the target service information acquired by the acquisition means;
Equipped with.

In addition, the determination system described in claim 2 is the determination system described in claim 1, in which the determination means determines the importance of each of the plurality of devices or systems based on the importance of each of the facilities and the usability of the target service identified by the target service information .

In addition, the determination system of claim 3 is the determination system of claim 1 or 2, wherein the determination means performs a first process to determine a first importance based on the first usability for the target service specified by the target service information, based on the importance of each of the facilities and a first usability, which is the usability of the target service specified by the target service information at the facility; a second process to determine a second importance based on the second usability for the target service specified by the target service information, based on the first importance determined in the first process and a second usability, which is the usability of a function corresponding to the target service specified by the target service information in the target service; and a third process to determine the importance of each of the multiple devices or systems , based on the second importance determined in the second process and a third usability, which is the usability of the function in the function of the multiple devices or systems corresponding to the function .

In addition, the determination system described in claim 4 is a determination system described in any one of claims 1 to 3, further comprising a grouping means for grouping the multiple devices or systems based on the determination result of the determination means and the costs of the multiple devices or systems.

In addition, the decision system described in claim 5 is a decision system described in any one of claims 1 to 4, and includes a storage means for storing object information that identifies an object to which the target service identified by the target service information should be applied, and an identification means for identifying whether the target service identified by the target service information acquired by the acquisition means covers the object identified by the object information stored in the storage means.

In addition, the determination method described in claim 6 includes an acquisition means configured as a computer acquires target service information inputted thereto, the target service information identifying a target service that is a service to be realized among a plurality of services, and a determination means configured as a computer determines the importance of each of a plurality of devices or systems that are options for realizing a function corresponding to the target service identified by the target service information acquired by the acquisition means, based at least on the importance of each of the facilities corresponding to the target service identified by the target service information acquired by the acquisition means.

In addition, the decision program described in claim 7 causes a computer to function as an acquisition means for acquiring target service information that identifies a target service, which is a service to be realized among a plurality of services, and a decision means for determining, based at least on the importance of each of the facilities corresponding to the target service identified by the target service information acquired by the acquisition means, the importance of each of a plurality of devices or systems that are options for realizing a function corresponding to the target service identified by the target service information acquired by the acquisition means.

According to the determination system according to claim 1, the determination method according to claim 6 , and the determination program according to claim 7 , for example, the problem of the present application can be solved.

FIG. 2 is a block diagram of a determination device according to the present embodiment. FIG. 11 is a diagram illustrating an example of service category specification information. FIG. 11 is a diagram illustrating an example of business service correspondence information. 11 is a diagram illustrating an example of service function support information. FIG. 11 is a diagram illustrating an example of function technology correspondence information. FIG. 11 is a diagram illustrating an example of business importance specification information. 13 is a flowchart of a grouping process. 13 is a flowchart of an importance determination process. FIG. 11 is an explanatory diagram of a processing example of importance determination processing; 1 is a graph showing groups defined by technology importance and cost. FIG. 11 is an explanatory diagram of a processing example of importance determination processing; FIG. 11 is an explanatory diagram of a processing example of importance determination processing; FIG. 11 is an explanatory diagram of a processing example of importance determination processing; 1 is a graph showing groups defined by technology importance and cost. 1 is a graph showing groups defined by technology importance and cost. 1 is a graph showing groups defined by technology importance and cost. FIG. 11 is a diagram illustrating an example of target object identification information.

Below, an embodiment of the determination system, determination method, and determination program according to the present invention will be described in detail with reference to the drawings. Note that the present invention is not limited to this embodiment.

[Basic Concept of the Embodiment]
First, a basic concept of the embodiment will be described. The embodiment generally relates to a determination system, a determination method, and a determination program.

The term "determination system" refers to a system that determines the importance of a technology, and is a concept that includes, for example, a dedicated system for determining the importance of a technology, or a system that is used for general purposes (such as a general-purpose computer, a server computer, or multiple computers distributed over a network (i.e., so-called cloud computers)) that is realized by installing a determination program and implementing a function for determining the importance of a technology. In addition, the determination system includes, for example, an acquisition means and a determination means, and optionally includes a grouping means, a classification means, a storage means, and an identification means.

"Acquisition means" refers to the means for acquiring target service information.

"Target service information" is information that identifies the target service. "Target service" is a concept that corresponds to an activity or labor, and includes, for example, services related to business, function, or technology, and that may be used in business. The specific content of this "target service" is arbitrary, and the following describes some suitable examples of target services, but is not limited to these examples (the same applies to "business," "function," and "technology" shown below).

"Business" is a concept corresponding to work or business, and includes, for example, concepts corresponding to facilities corresponding to work or business. "Function" is a concept corresponding to work, and specifically, a concept including work that may be used to perform the target service. "Technology" is a concept corresponding to technology, and specifically, a concept including things that may be used to realize functions, and includes, for example, various devices or systems.

The "determination means" is a means for determining the importance of a technology corresponding to a target service identified by the target service information acquired by the acquisition means based on the importance of the business corresponding to the target service identified by the target service information acquired by the acquisition means, and is a concept that includes, for example, a means for determining the importance of a technology based on the importance of the business, the usability in the business of the target service identified by the target service information, the usability in the target service of a function corresponding to the target service identified by the target service information, and the usability in a function of the technology corresponding to the function, and is also a concept that includes at least a means for determining the importance of a technology corresponding to a category of a target service identified by the target service information classified by the classification means based on the importance of a business category corresponding to the category of a target service identified by the target service information classified by the classification means.

"Business importance" refers to the degree of importance to the business, and is a concept that includes, for example, the degree of business value or necessity, and as an example, a concept that includes a predetermined degree. "Business usability of the target service" refers to the concept that includes the possibility that the target service will be used in business, "usability of a function in the target service" refers to the concept that includes the possibility that a function will be used to perform the target service, and "usability of technology in a function" refers to the concept that includes the possibility that technology will be used to realize a function. "Technology importance" refers to the degree of importance of the technology, and is a concept that includes, for example, the degree of technology's value or necessity.

The "grouping means" is a means for grouping technologies based on the results of the determination by the determination means and the cost of the technologies. The "classification means" is a means for classifying the target services identified by the target service information acquired by the acquisition means. Note that "classifying" is a concept that includes dividing into a number of groups based on any criteria, and includes, for example, dividing into predetermined types, categories, or genres.

"Storage means" refers to means for storing object information that specifies an object to which a target service specified by target service information should be applied, and is a concept that includes, for example, means for storing object information and target service information that specifies a target service that should be applied to an object specified by the object information in a mutually associated manner. "Object" refers to an object to which a target service should be applied, and is a concept that includes, for example, facilities, and as an example, things that are predetermined by any standard (for example, the Fire Service Act or any other standard, etc.).

The "identification means" is a means for identifying whether or not the target service identified by the target service information acquired by the acquisition means covers the object identified by the object information stored in the storage means.

The following embodiment describes a case in which a determination system is realized by installing a determination program into a general-purpose system and implementing a function for determining the importance of technology.

[Specific Contents of the Embodiment]
Next, the specific contents of the embodiment will be described.

(composition)
First, the configuration of the determining device according to the present embodiment will be described with reference to Fig. 1, which is a block diagram of the determining device according to the present embodiment.

The determination device 100 is a determination system, and includes, for example, a communication unit 11, an input unit 12, an output unit 13, a recording unit 14, and a control unit 15.

(Configuration - Communications Department)
The communication unit 11 is a communication means for communicating with an external device (not shown). The specific type and configuration of the communication unit 11 are arbitrary, and it can be configured using, for example, an arbitrary communication circuit or the like.

(Configuration - Input section)
The input unit 12 is an input means for inputting information to the determination device 100. The specific type and configuration of the input unit 12 are arbitrary, and it can be configured using any input device such as a keyboard and a mouse, for example.

(Configuration - Output section)
The output unit 13 is an output means that outputs information under the control of the control unit 15. The specific type and configuration of the output unit 13 are arbitrary, but for example, the output unit 13 can be configured using any display device including a liquid crystal display, or an audio device including a speaker, etc.

(Configuration - Recording Section)
The recording unit 14 is a recording means (storage means) for recording programs (such as a determination program) and various data required for the operation of the determination device 100, and is configured using, for example, a hard disk (not shown) as an external recording device. However, instead of or together with the hard disk, any other recording medium including a magnetic recording medium such as a magnetic disk, or an optical recording medium such as a DVD or a Blu-ray disk can be used. The recording unit 14 stores, for example, service category specification information, business service correspondence information, service function specification information, function technology specification information, and business importance specification information.

(Configuration-Recording section-Service category specific information)
Fig. 2 is a diagram showing an example of service category specification information. "Service category specification information" is information that specifies a collection of target services. As shown in Fig. 2, in the service category specification information, for example, information corresponding to the item "service category information" and information corresponding to the item "target service information" are mutually associated with each other.

The information corresponding to the item "Service Category Information" is service category information that identifies a collection (category) of target services (in FIG. 2, it is the type of target service, and includes "Person Identification" that identifies a category of services that identify people, "Usage Confirmation" that identifies a category of services that confirm the use of facilities, etc., and "Crime Prevention" that identifies a category of services related to crime prevention, etc.). Note that in reality, information other than the information specifically illustrated is also stored for this service category information and target service information, but for the sake of convenience, only a portion of the information is specifically illustrated and explained here (the same applies to business service correspondence information, service function correspondence information, function technology correspondence information, business importance identification information, and target object identification information (variation example) described below).

The information corresponding to the item "Target service information" is the target service information described above (in FIG. 2, there is "Facial Expression Detection" which identifies a service that detects facial expressions, "Crowd Situation (Human Detection)" which is a service that checks the crowding situation, "Theft Prevention (Human Detection)" which is a service that prevents theft, "Disaster Prevention and Crime Prevention for Unmanned Stores" which is a service that provides disaster prevention and crime prevention for unmanned stores, etc.).

The service category specification information exemplified in FIG. 2 indicates, for example, that the category of a target service such as "facial expression detection" is "person identification" (i.e., "facial expression detection" and the like belong to the "person identification" category), that the category of a target service such as "crowding status (human detection)" is "usage confirmation" (i.e., "crowding status (human detection)" and the like belong to the "usage confirmation" category), and that the category of a target service such as "anti-theft (human detection)" and "disaster prevention, crime prevention for unmanned stores" is "crime prevention" (i.e., "anti-theft (human detection)" and "disaster prevention, crime prevention for unmanned stores" and the like belong to the "crime prevention" category).

The specific method for storing such service category specification information is arbitrary, but for example, when the administrator specifies the relationship between the target service category and the target services belonging to that category, and then inputs the information illustrated in FIG. 2 based on the specification result via the input unit 12, or inputs it from his/her own terminal via communication performed using the communication unit 11, the control unit 15 acquires the input information and stores it. Note that the method by which the administrator specifies the "relationship between the target service category and the target services belonging to that category" is arbitrary, but for example, the administrator may specify it by referring to any literature (such as academic papers or other literature), or may specify it by other methods (such as his/her own judgment or the judgment of many experts).

(Configuration - Recording Section - Business Service Response Information)
FIG. 3 is a diagram illustrating an example of business service correspondence information. The "business service correspondence information" is information that specifies the correspondence between a business and a service, specifically, information that corresponds to a business-to-service QFD (Quality Function Deployment), for example, information that specifies the possibility that a target service will be used in a business, and more specifically, information that specifies the possibility that a target service belonging to a target service category will be used in a business belonging to a business category. As shown in FIG. 3, in the business service correspondence information, for example, information corresponding to the item "business category information", information corresponding to the item "service category information", and information corresponding to the item "service availability information" are mutually associated. Note that the information corresponding to the item "service category information" is the same as the information of the same name in FIG. 2.

The information corresponding to the item "business category information" is business category information that identifies a collection (category) of businesses. Note that this business category information is arbitrary, but for example, it is information that identifies the result of classifying businesses according to arbitrary criteria. In this embodiment, as shown in FIG. 3, examples are explained using "hotel", which is a category of inn, hotel, and lodging business, which are businesses; "museum", which is a category of library, museum, and art gallery business, which are businesses; and "factory", which is a category of factory and workshop business, which are businesses.

The item "Service Usability Information" is information that specifies the possibility of using the target service in a business, and more specifically, is service usability information that specifies the possibility that at least one target service belonging to the target service category will be used in at least one business belonging to the business category. Note that this service usability information is arbitrary, but for example, it can be divided into four stages from the lowest possibility of use to the highest possibility. In this embodiment, as shown in FIG. 3, the higher the possibility of use, the larger the numerical value, and an example will be described using the numerical values "0", "1", "2", and "3".

In the business service correspondence information shown in FIG. 3, common service category information (such as "person identification," "usage confirmation," and "crime prevention" stored as the service category information in FIG. 2) is associated with each business category information. In addition, FIG. 3 shows that the possibility that at least one target service belonging to the "person identification" target service category will be used in at least one business belonging to the "hotel" business category is "2" out of the four levels mentioned above.

The specific method for storing such business service correspondence information is arbitrary, but for example, when an administrator identifies the possibility that the target service will be used in business and then inputs the information exemplified in FIG. 3 based on the identification result via the input unit 12, or inputs it from his/her own terminal via communication performed using the communication unit 11, the control unit 15 acquires the input information and records it, thereby storing it. Note that the method by which the administrator identifies the "possibility that the target service will be used in business" is arbitrary, but for example, it may be identified in the same way as the "relationship between the target service category and the target service belonging to that category" described above in FIG. 2.

(Configuration-Recording section-Service function support information)
FIG. 4 is a diagram illustrating an example of service function correspondence information. The "service function correspondence information" is information that specifies the correspondence relationship between a target service and a function, specifically, information that corresponds to a QFD of a service versus function, for example, information that specifies the possibility that a function will be used to perform a target service, and more specifically, information that specifies the possibility that a function will be used to perform a target service that belongs to a category of the target service. As shown in FIG. 4, in the service function correspondence information, for example, information corresponding to the item "service category information", information corresponding to the item "function information", and information corresponding to the item "function usability information" are mutually associated. Note that the information corresponding to the item "service category information" is the same as the information of the same name in FIG. 2.

The information corresponding to the item "Function information" is function information that specifies a function (in FIG. 4, "Age/gender discrimination" specifies a function for distinguishing between age and gender, "Congestion estimation" specifies a function for estimating the state of congestion, "Person presence confirmation" specifies a function for checking whether a person is present, and "Crime monitoring" specifies a function for monitoring crime, etc.).

The item "Function usability information" is information that specifies the possibility that a function will be used to perform a target service, and more specifically, is function usability information that specifies the possibility that a function will be used to perform at least one target service that belongs to the target service category. Note that this function usability information is arbitrary, but for example, we will explain the case where a numerical value from "0" to "3" is used, as in the service usability information in Figure 3 described above.

The service function compatibility information illustrated in FIG. 4 associates common function information (in FIG. 4, "gender identification," "congestion estimation," "person presence confirmation," and "crime monitoring," etc.) with each service category information that is the same as the service category information in FIG. 3 (i.e., "person identification," "usage confirmation," and "crime prevention," etc.). The service function compatibility information illustrated in FIG. 4 indicates, for example, that the possibility that the "gender identification" function will be used in at least one target service that belongs to the target service category of "person identification" is "2" out of the four levels mentioned above.

The specific method for storing such service function compatibility information is arbitrary, but for example, when the administrator identifies the possibility that the function will be used to perform the target service and then inputs the information illustrated in FIG. 4 based on the identification result via the input unit 12, or inputs the information from his/her own terminal via communication using the communication unit 11, the control unit 15 acquires the input information and records it, thereby storing the information. Note that the method by which the administrator identifies the "possibility of the function being used to perform the target service" is arbitrary, but for example, it may be identified in the same manner as the "relationship between the target service category and the target service belonging to that category" described above in FIG. 2.

(Configuration - Recording section - Functional technology support information)
FIG. 5 is a diagram illustrating function-technology correspondence information. "Function-technology correspondence information" is information that specifies the correspondence between functions and technologies, specifically, information that corresponds to a function-to-technology QFD, for example, information that specifies the possibility that a technology will be used to realize a function. As shown in FIG. 5, in the function-technology correspondence information, for example, information corresponding to the item "function information", information corresponding to the item "technology information", and information corresponding to the item "technology usability information" are mutually associated. Note that the information corresponding to the item "function information" is the same as the information of the same name in FIG. 4.

The information corresponding to the item "technology information" is technology information that identifies the technology (in FIG. 5, it is various devices or systems, such as "camera" that identifies the camera that captures images, "human presence sensor" that identifies the sensor that detects people, etc., "microphone" that identifies the microphone device that collects sound, and "illuminance sensor" that identifies the sensor that detects illuminance).

The item "Technology Availability Information" is technology availability information that identifies the possibility of using technology to realize a function. Note that this technology availability information is arbitrary, but for example, we will explain the case where a numerical value from "0" to "3" is used, similar to the service availability information in Figure 3 described above.

The function technology compatibility information shown in FIG. 5 is associated with common technology information (in FIG. 5, "camera," "occupancy sensor," "microphone," and "illuminance sensor," etc.) for each piece of function information that is the same as the function information in FIG. 4 (i.e., "gender identification," "congestion estimation," "person presence confirmation," and "crime monitoring," etc.). The function technology compatibility information shown in FIG. 5 indicates, for example, that the possibility of using the technology "camera" to realize the function of "gender identification" is "1" out of the four levels mentioned above.

The specific method for storing such function technology correspondence information is arbitrary, but for example, when the administrator identifies the possibility of technology being used to realize the function and then inputs the information illustrated in FIG. 5 based on the identification result via the input unit 12, or inputs the information from his/her own terminal via communication using the communication unit 11, the control unit 15 acquires the input information and records it, thereby storing the information. Note that the method by which the administrator identifies the "possibility of technology being used to realize the function" is arbitrary, but for example, it may be identified in the same way as the "relationship between the target service category and the target services belonging to that category" described above in FIG. 2.

(Configuration - Recording section - Business importance specific information)
6 is a diagram illustrating an example of business importance identification information. "Business importance identification information" is information that identifies the importance of a business, and more specifically, information that identifies the importance of a business category. As shown in FIG. 6, in the business importance identification information, for example, information corresponding to the item "business category information" and information corresponding to the item "business importance information" are mutually associated. Note that the information corresponding to the item "business category information" is the same as the information of the same name in FIG. 3.

The item "Business Importance Information" is information that specifies the importance of a business, and more specifically, business importance information that specifies the importance of a business that belongs to a business category. Note that this business importance information is arbitrary, but for example, it is divided into 10 levels from low to high importance, and in this embodiment, as shown in Figure 6, the higher the importance, the larger the numerical value, and an example will be explained in which 10 numerical values from "1" to "10" are used.

The business importance information illustrated in FIG. 6 is associated with each piece of business information that is the same as the business category information in FIG. 3 (i.e., "Hotel", "Museum", "Factory", etc.). The business importance specific information illustrated in FIG. 6 indicates that the importance of businesses in the "Hotel" category is "6" out of the 10 levels mentioned above.

The specific method for storing such business importance identification information is arbitrary, but for example, when an administrator identifies the business importance and then inputs the information illustrated in FIG. 6 based on the identification result via the input unit 12, or inputs the information from his/her own terminal via communication using the communication unit 11, the control unit 15 acquires the input information and records it, thereby storing the information. Note that the method by which the administrator identifies the "business importance" here is arbitrary, but for example, it may be identified in the same manner as the "relationship between the target service category and the target services belonging to that category" described above in FIG. 2.

(Configuration - Control Section)
1, the control unit 15 is a control means that controls the determination device 100. Specifically, it is a computer that includes a CPU, various programs that are interpreted and executed on the CPU (including basic control programs such as an OS, and application programs that are started on the OS and realize specific functions), and an internal memory such as a RAM for storing the programs and various data.

The control unit 15 conceptually includes an acquisition unit 151, a determination unit 152, a grouping unit 153, and a classification unit 154. The acquisition unit 151 is an acquisition means for acquiring target service information. The determination unit 152 is a determination means for determining the importance of a technology corresponding to a target service identified by the target service information acquired by the acquisition unit 151, based at least on the importance of a business corresponding to a target service identified by the target service information acquired by the acquisition unit 151. The grouping unit 153 is a grouping means for grouping technologies based on the determination result of the determination unit 152 and the cost of the technology. The classification unit 154 is a classification means for classifying target services identified by the target service information acquired by the acquisition unit 151. The processing performed by each unit of the control unit 15 will be described later.

(process)
Next, the grouping process executed by the determination device 100 configured as above will be described. Fig. 7 is a flowchart of the grouping process (in the following description of each process, steps are abbreviated as "S"). The "grouping process" is a process of determining the importance of technologies based on target service information input by a user, and then grouping the technologies. The timing of executing this grouping process is arbitrary, but for example, it starts when the power of the determination device 100 is turned on, and it is executed repeatedly, so the description will begin from the start of execution.

Here, for example, a case will be illustrated in which the user of the determination device 100 inputs "facial expression detection," "crowding situation (human presence)," "anti-theft (human presence)," and "disaster prevention and crime prevention for unmanned stores," which are specifically illustrated as the target service information in FIG. 2, and the overall process will be explained. After that, in the "Processing example" described below, an example will be given in which information different from this case is input.

In SA1 of FIG. 7, the acquisition unit 151 acquires target service information. Specifically, although this is optional, for example, the user of the determination device 100 determines a target service that the user is considering providing, and inputs target service information specifying the determined target service via the input unit 12. The acquisition unit 151 then acquires the target service information input via the input unit 12. Here, for example, a case in which the user inputs "facial expression detection," "crowding situation (human detection)," "theft prevention (human detection)," and "disaster prevention and crime prevention for unmanned stores" as target service information via the input unit 12 will be described as an example. In this case, the acquisition unit 151 acquires target service information indicating the input "facial expression detection," "crowding situation (human detection)," "theft prevention (human detection)," and "disaster prevention and crime prevention for unmanned stores."

In SA2 of FIG. 7, the classification unit 154 classifies the target services identified by the target service information acquired in SA1. The specific classification is arbitrary, but may be based on the service category identification information of FIG. 2, for example. In detail, first, one piece of target service information acquired in SA1 is selected, and the service category identification information of FIG. 2 is referenced to identify the service category information corresponding to the selected piece of target service information. Then, the target service identified by the selected piece of target service information is classified into the category of target services identified by the identified service category information. The above process is then performed for all of the target service information acquired in SA1.

Here, for example, "facial expression detection" is selected, and the service category identification information in FIG. 2 stored in the recording unit 14 in FIG. 1 is referenced to identify "person identification," which is the service category information corresponding to the selected "facial expression detection," and the service identified by "facial expression detection" is classified into the category identified by "person identification." Similarly, for example, a similar process is performed for "crowding situation (human detection)," to identify "usage confirmation" in FIG. 2, and the service identified by "crowding situation (human detection)" is classified into the category identified by "usage confirmation." Similarly, for example, a similar process is performed for "theft prevention (human detection)" and "unmanned store disaster prevention, crime prevention," to identify "crime prevention" in FIG. 2, and the service identified by "theft prevention (human detection)" and the service identified by "unmanned store disaster prevention, crime prevention" are classified into the category identified by "crime prevention."

In SA3 of FIG. 7, the determination unit 152 starts the importance determination process. FIG. 8 is a flowchart of the importance determination process. The "importance determination process" is a process for determining the importance of a technology, for example, a process for determining the importance of a technology using each of the correspondence information in FIG. 3 to FIG. 6 and the business importance specification information in FIG. 6. Note that in the importance determination process below, the importance of a technology is determined by calculation, but the calculation shown here is only an example, and the importance of a technology may be determined by performing other calculations.

Figure 9 is an explanatory diagram of an example of the importance determination process. Note that Figure 9 illustrates an example of the process when "facial expression detection," "crowding situation (human presence)," "anti-theft (human presence)," and "disaster prevention and crime prevention for unmanned stores" are input as target service information. Note that in this Figure 9, the "business importance identification information table" shows information corresponding to the business importance identification information in Figure 6, the "business service correspondence information table" shows information corresponding to the business service correspondence information in Figure 3, the "service function correspondence information table" shows information corresponding to the service function correspondence information in Figure 4, and the "function technology correspondence information table" shows information corresponding to the function technology correspondence information in Figure 5.

In SB1 of FIG. 8, the determination unit 152 determines the service category importance. The "service category importance" is the degree of importance of the category of the target service, and is, for example, numerical information, and the larger the value, the higher the degree of importance. The specific processing is arbitrary, but for example, first, the business importance identification information of FIG. 6 is referenced to identify the business importance information corresponding to the business category information of FIG. 3 (hereinafter, the first processing of SB1). Next, one of the service category information that identifies the category of the service classified in SA2 that has not yet been selected is selected, and the service availability information corresponding to the selected one service category information is respectively identified by referring to the business service correspondence information of FIG. 3 (hereinafter, the second processing of SB2). Next, the service category importance of the selected one service category information is calculated and determined by performing a predetermined calculation using the identification results in "the first processing of SB1" and "the second processing of SB2" (hereinafter, the third processing of SB2). Then, "SB1 second process" to "SB1 third process" are performed for all the service category information that identifies the categories of services classified in SA2.

Here, for example, in the "first process of SB1", the business importance identification information in FIG. 6 is referenced to identify "6" for "hotel" (i.e., W1=6, which is the hotel importance in FIG. 9), "5" for "museum" (i.e., W2=5, which is the museum importance in FIG. 9), and "3" for "factory" (i.e., W3=3, which is the factory importance in FIG. 9). Next, in the "second process of SB1", "person identification" is selected from "person identification", "usage confirmation", and "crime prevention", which are service category information that identifies the category of the service classified in SA2, and the business service correspondence information in FIG. 3 is referenced to identify "2" corresponding to "person identification" for "hotel", "3" corresponding to "person identification" for "museum", and "2" corresponding to "person identification" for "factory" as the service availability information corresponding to the selected one "person identification". Next, in "SB1 third process", the business importance information identified in "SB1 first process" is multiplied by the corresponding service availability information identified in "SB1 second process", the multiplication results are added together, and the sum is used to calculate and determine the service category importance of the selected one piece of service category information.

Specifically, regarding the calculation, when "person identification" is selected in "second process of SB1", "third process of SB1" calculates "6 (business importance information for "hotel", the value indicated by "W1=6", which is the hotel importance in Figure 9) x 2 (service availability information corresponding to "use confirmation" of "hotel", the value indicated by α11 in Figure 9) + 5 (business importance information for "museum", the value indicated by "W2=5", which is the museum importance in Figure 9) x 3 (service availability information corresponding to "use confirmation" of "museum", the value indicated by α21 in Figure 9) + 3 (business importance information for "factory", the value indicated by "W3=3", which is the factory importance in Figure 9) x 2 (service availability information corresponding to "use confirmation" of "factory", the value indicated by α31 in Figure 9)" and determines "33" as the service category importance of "person identification". In other words, the calculation "Personal identification importance X1 = 6 x 2 + 5 x 3 + 3 x 2 = 33" shown in Figure 9 is performed to calculate and determine "33" as the personal identification importance, which is the service category importance related to "person identification."

When "Use Confirmation" is selected in "SB1 second process", the calculation "Use Confirmation Importance X2 = 6x0 + 5x3 + 3x1 = 18" shown in FIG. 9 is performed to calculate and determine "18" as the use confirmation importance, which is the service category importance for "Use Confirmation". When "Crime Prevention" is selected in "SB1 second process", the calculation "Crime Prevention Importance X3 = 6x3 + 5x3 + 3x1 = 36" shown in FIG. 9 is performed to calculate and determine "36" as the crime prevention importance, which is the service category importance for "Crime Prevention".

At SB2 in FIG. 8, the determination unit 152 determines the function importance. "Function importance" is the degree of importance of a function, for example, numerical information, where the larger the value, the higher the degree of importance. The specific process is arbitrary, but for example, first, by referring to the service function correspondence information in FIG. 4, function usability information corresponding to the service category information that specifies the category of the service for which the service category importance was determined at SB1 is identified for each piece of function information, and a predetermined calculation is performed using the identification result and the service category importance determined at SB1 to calculate and determine the function importance corresponding to each piece of function information.

Here, for example, first, referring to the service function correspondence information in FIG. 4, function availability information corresponding to "person identification", "usage confirmation", and "crime prevention", which are service category information that specifies the category of the service for which the service category importance was determined in SB1, is specified for each function information. Specifically, "2" corresponding to "age and gender identification" in "person identification" in FIG. 4, "0" corresponding to "congestion estimation" in "person identification", "0" corresponding to "person presence confirmation" in "person identification", "0" corresponding to "crime monitoring" in "person identification", etc. are specified. Next, using the result of the specification and "33" as the service category importance of "person identification" determined in SB1, "18" as the service category importance of "usage confirmation", and "36" as the service category importance of "crime prevention", the function importance corresponding to each function information is calculated and determined by performing multiplication and addition in the same manner as in SB1.

Specifically, for the calculation, first, for "gender identification", "33 (the service category importance of "person identification", the value indicated by "X1 = 33", which is the person identification importance in Figure 9) x 2 (the function usability information corresponding to "gender identification" of "person identification", the value indicated by β11 in Figure 9) + 18 (the service category importance of "usage confirmation", the value indicated by "X2 = 18", which is the usage confirmation importance in Figure 9) x 0 (the function usability information corresponding to "gender identification" of "usage confirmation", the value indicated by β21 in Figure 9) + 36 (the service category importance of "crime prevention", the value indicated by "X3 = 36", which is the crime prevention importance in Figure 9) x 0 (the function usability information corresponding to "gender identification" of "crime prevention", the value indicated by β31 in Figure 9)" is calculated, and "66" is determined as the function importance of "gender identification". In other words, the calculation of "age/gender discrimination importance Y1 = 33 x 2 + 18 x 0 + 36 x 0 = 66" shown in Figure 9 is performed to calculate and determine "66" as the age/gender discrimination importance, which is the functional importance related to "age/gender discrimination."

For "congestion estimation", the function importance for "congestion estimation" is calculated as "54" by calculating "estimated congestion importance Y2 = 33 x 0 + 18 x 3 + 36 x 0 = 54" as shown in FIG. 9. For "person presence confirmation", the function importance for "person presence confirmation" is calculated as "36" by calculating "person presence confirmation importance Y3 = 33 x 0 + 18 x 0 + 36 x 1 = 36" as shown in FIG. 9. For "crime monitoring", the function importance for "crime monitoring" is calculated as "108" by calculating "crime monitoring importance Y4 = 33 x 0 + 18 x 0 + 36 x 3 = 108" as shown in FIG. 9.

In SB3 of FIG. 8, the determination unit 152 determines the technology importance. "Technology importance" is the importance of the aforementioned technology, for example, numerical information, where the larger the value, the higher the degree of importance. The specific processing is arbitrary, but the same processing as in SB2 is performed. For example, first, by referring to the function technology correspondence information in FIG. 5, technology usability information corresponding to each piece of function information is identified for each piece of technology information, and a predetermined calculation is performed using the identification result and the function importance determined in SB2 to calculate and determine the technology importance corresponding to each piece of technology information.

Here, for example, first, referring to the function technology correspondence information in FIG. 5, technology availability information corresponding to each function information "age and gender identification", "congestion estimation", "person presence confirmation", and "crime monitoring" is specified for each technology information. Specifically, "1" corresponding to "camera" in "age and gender identification" in FIG. 5, "0" corresponding to "human presence sensor" in "age and gender identification", "0" corresponding to "microphone" in "age and gender identification", and "0" corresponding to "illuminance sensor" in "age and gender identification" are specified. Next, using the result of the specification and the function importance of "66" for "age and gender identification" determined in SB2, "54" for "congestion estimation", "36" for "person presence confirmation", and "108" for "crime monitoring", the technology importance corresponding to each technology information is calculated and determined by performing multiplication and addition in the same manner as in SB2.

Specifically, regarding the calculation, first, for "camera", it is "66 (function importance of "age/gender discrimination", the value indicated by "Y1 = 66" which is the age/gender discrimination importance in FIG. 9) x 1 (technology availability information corresponding to "camera" in "age/gender discrimination", the value indicated by γ11 in FIG. 9) + 54 (function importance of "crowding estimation", the value indicated by "Y2 = 54" which is the congestion estimation importance in FIG. 9) x 2 (technology availability information corresponding to "camera" in "crowding estimation", the value indicated by γ21 in FIG. 9) + 36 (technology availability information corresponding to "person presence" 9) x 1 (technology usability information corresponding to "camera" in "person presence confirmation", the value indicated by "Y3 = 36", which is the person presence confirmation importance in Figure 9) x 1 (technology usability information corresponding to "camera" in "person presence confirmation", the value indicated by γ31 in Figure 9) + 108 (functional importance of "crime monitoring", the value indicated by "Y4 = 108", which is the crime monitoring importance in Figure 9) x 2 (technology usability information corresponding to "camera" in "crime monitoring", the value indicated by γ41 in Figure 9)) to calculate and determine "426" as the technology importance of "camera".

For the "human presence sensor", the calculation of "human presence sensor importance Z2 = 66 x 0 + 54 x 3 + 36 x 1 + 108 x 1 = 306" shown in FIG. 9 is performed to calculate and determine "306" as the human presence sensor importance, which is the technology importance of the "human presence sensor". For the "microphone", the calculation of "microphone importance Z3 = 66 x 0 + 54 x 1 + 36 x 0 + 108 x 0 = 54" shown in FIG. 9 is performed to calculate and determine "54" as the microphone importance, which is the technology importance of the "microphone". For the "illuminance sensor", the calculation of "illuminance sensor importance Z4 = 66 x 0 + 54 x 1 + 36 x 2 + 108 x 1 = 234" shown in FIG. 9 is performed to calculate and determine "234" as the illuminance sensor importance, which is the technology importance of the "illuminance sensor". This returns the importance determination process.

In SA4 of FIG. 7, the grouping unit 153 divides technologies into groups. FIG. 10 is a graph showing groups defined by the importance and cost of technologies. A "group" is a division into which technologies are divided, specifically defined by the importance and cost of the technology, and is determined in advance based on the importance and cost, as shown in FIG. 10, for example. The "cost of technology" is the cost of adopting a technology, and is a concept that includes, for example, the cost per unit quantity, and an example of the concept that includes the purchase cost and maintenance cost of the technology. Here, for example, it is assumed that the recording unit 14 of FIG. 1 records group generation information (for example, information specifying the threshold value of FIG. 10) for generating the excluded group of FIG. 10 (the area in the graph where the threshold value is the boundary and the "excluded" is written), the consideration group (the area in the graph where the threshold value is the boundary and the "consideration" is written), and the adoption group (the area in the graph where the threshold value is the boundary and the "adopted" is written) Here, it has been described that "information specifying the threshold value in FIG. 10" is recorded as the group generation information, but more specifically, information on a formula specifying the threshold value in FIG. 10, or information specifying a method (logic) for determining the threshold value, etc. may be recorded. Any other information may be recorded as the information for generating groups. It is also described that cost information specifying the cost of a technology specified by technology information in the function technology correspondence information in FIG. 5 is recorded in the recording unit 14. The "group to be excluded" is a group that recommends excluding a technology from adoption (i.e., recommends not adopting the technology), the "group to be considered" is a group that recommends further consideration in order to adopt the technology, and the "group to be adopted" is a group that recommends adopting the technology.

The specifics of SA4 are arbitrary, but for example, technologies are divided into groups based on the importance of the technology determined in the process of SA3 (more specifically, the process of SB3 in FIG. 8) and the cost of the technology. In detail, first, the group generation information of the recording unit 14 is obtained, and information corresponding to the areas of the excluded group, the considered group, and the adopted group in FIG. 10 is generated based on the obtained group generation information. Next, the importance of the technology determined in the process of SA3 (more specifically, the process of SB3 in FIG. 8) and the cost information of the recording unit 14 are obtained, and based on the obtained information, the area of the group to which each technology (more specifically, the technology identified in the technology information in FIG. 5) belongs is identified in the above-mentioned generated group area, thereby dividing each technology (more specifically, each technology identified in the technology information in FIG. 5).

Here, for example, as shown in FIG. 10, data is plotted and the area of the group to which each technology belongs is identified, thereby grouping the technologies. In detail, the technology "camera" is divided into an adoption group based on the camera importance determined in SB3 of FIG. 8 and the expense (i.e., cost) of the camera identified in the expense information of the recording unit 14, and similarly, "illumination sensor" and "motion sensor" are divided into a consideration group, and "microphone" is divided into an exclusion group.

The processing thereafter is arbitrary, but for example, the results of the grouping performed in SA4 may be output via the output unit 13 in FIG. 1. The output format here is arbitrary, but for example, the results may be displayed and output via a display device of the output unit 13, or may be output as audio via an audio device of the output unit 13. In particular, when displaying and outputting, the results may be displayed and output in a graph format showing the area of each group, the threshold value, and a plot of each technology, as shown in FIG. 10. This ends the grouping process.

(Processing example)
In the above-mentioned grouping process, a case where the user of the determination device 100 inputs "facial expression detection,""crowding situation (human presence),""anti-theft (human presence)," and "disaster prevention and crime prevention at unmanned stores," which are specifically illustrated as the target service information in Fig. 2, is described below. Note that the specific process here is the same as the process described above, so only the outline will be described.

Figures 11 to 13 are explanatory diagrams of an example of the importance determination process, and Figures 14 to 16 are graphs showing groups defined by the importance and cost of technology.

(Processing example - first example)
For example, when the user of the determination device 100 inputs "facial expression detection" and "crowding situation (human presence)" specifically illustrated as the target service information in FIG. 2, the control unit 15 of the determination device 100 performs the grouping process in FIG. 7 and the importance determination process in FIG. 8 in the same manner as in the above-mentioned case, but in particular, classifies into the category specified by "person identification" and "use confirmation" in SA2 in FIG. 7 (i.e., does not classify into the category specified by "crime prevention"). Therefore, in the importance determination process in FIG. 8, as shown in FIG. 11, unlike the case in FIG. 9, no calculation is performed regarding the crime prevention importance. Then, except for the point that no calculation is performed regarding this crime prevention importance, the same process as in the above-mentioned case is performed, and the technology importance shown in the lower part of FIG. 11 is calculated and determined.

Then, in SA4 of FIG. 7, the same process as described above is performed to group the technologies as shown in FIG. 14. Here, for example, "camera" and "motion sensor" are grouped into a group to be considered, and "illumination sensor" and "microphone" are grouped into a group to be excluded.

(Processing Example - Second Example)
For example, when the user of the determination device 100 inputs "crowding situation (human presence)", "anti-theft (human presence)", and "disaster prevention and crime prevention at unmanned stores" specifically illustrated as the target service information in FIG. 2, the control unit 15 of the determination device 100 performs the grouping process of FIG. 7 and the importance determination process of FIG. 8 in the same manner as in the above-mentioned case, but in particular, classifies into the categories specified by "usage confirmation" and "crime prevention" in SA2 of FIG. 7 (i.e., does not classify into the category specified by "person identification"). Therefore, in the importance determination process of FIG. 8, as shown in FIG. 12, unlike the case of FIG. 9, calculation regarding the person identification importance is not performed. Then, except for the point that calculation regarding this person identification importance is not performed, the same process as in the above-mentioned case is performed, and the technology importance shown in the lower part of FIG. 12 is calculated and determined.

Then, in SA4 of FIG. 7, the same process as described above is performed to group the technologies as shown in FIG. 15. Here, for example, the "human presence sensor" is grouped into an adoption group, the "camera" and the "illuminance sensor" are grouped into a consideration group, and the "microphone" is grouped into an exclusion group.

(Processing example - third example)
For example, when the user of the determination device 100 inputs "facial expression detection", "anti-theft (human detection)", and "disaster prevention and crime prevention for unmanned stores" specifically illustrated as the target service information in FIG. 2, the control unit 15 of the determination device 100 performs the grouping process of FIG. 7 and the importance determination process of FIG. 8 in the same manner as in the above-mentioned case, but in particular, classifies into the categories specified by "person identification" and "crime prevention" in SA2 of FIG. 7 (i.e., does not classify into the category specified by "use confirmation"). Therefore, in the importance determination process of FIG. 8, as shown in FIG. 13, unlike the case of FIG. 9, no calculation is performed regarding the use confirmation importance. Then, except for the point that no calculation is performed regarding this use confirmation importance, the same process as in the above-mentioned case is performed, and the technology importance shown in the lower part of FIG. 13 is calculated and determined.

Then, in SA4 of FIG. 7, the same process as described above is performed to group the technologies as shown in FIG. 16. Here, for example, "camera", "motion sensor", and "illuminance sensor" are grouped together for consideration, and "microphone" is grouped together for exclusion.

Note that it is expected that various target service information will be input in addition to the examples given here, but even in these cases, the same processing will be performed as in the examples given above.

(Effects of the embodiment)
In this manner, according to the present embodiment, by determining the importance of the technology corresponding to the target service based on the importance of the business corresponding to the target service, it is possible to appropriately determine the introduction of the technology, for example, since the importance of the technology can be used to determine the introduction of the technology. In particular, by determining the importance of the technology based on the importance of the business, it is possible to appropriately determine the introduction of the technology, for example, by taking the business into consideration.

In addition, by grouping technologies based on their importance and cost, it becomes possible to easily make decisions about introducing technologies using the grouping results, for example.

In addition, by determining the importance of a technology based on the business importance, the business usability of the target service, the usability of a function corresponding to the target service in the target service, and the usability of the technology's functions, it is possible to reflect, for example, the usability of the target service, function, and technology in the importance of the technology, making it possible to make appropriate decisions regarding the introduction of the technology.

In addition, by determining the importance of the technology corresponding to the target service category based on the importance of the business category corresponding to the target service category, even if there are many similar target services, the similar target services can be treated as a single target service category, making it possible to appropriately determine the importance of the technology.

[Modifications to the embodiment]
Although the embodiments of the present invention have been described above, the specific configurations and means of the present invention can be modified and improved as desired within the scope of the technical ideas of the inventions described in the claims. Such modifications will be described below.

(About the problem to be solved and the effects of the invention)
First, the problems that the invention aims to solve and the effects of the invention are not limited to those described above, and may vary depending on the implementation environment of the invention and the details of the configuration, and may solve only some of the problems described above or achieve only some of the effects described above.

(Regarding decentralization and integration)
In addition, the above-mentioned configuration is a functional concept, and does not necessarily have to be physically configured as shown in the drawings. In other words, the specific form of distribution or integration of each part is not limited to that shown in the drawings, and all or part of it can be functionally or physically distributed or integrated in any unit. In addition, the "device" in this application is not limited to one configured by a single device, but includes one configured by multiple devices.

(About categories)
In the above embodiment, the case where the target services are classified in SA2 in Fig. 7 and then each process is performed has been described, but this is not limiting, and the target services may be processed without being classified. Specifically, the service category information in Fig. 3 and Fig. 4 may be changed to the target service information, SA2 in Fig. 7 may be omitted, and each process described in the embodiment may be appropriately changed in response to the change, so that each process is performed. In this case, the business category information in Fig. 3 may be changed to information that identifies the business.

(For each possible information)
Further, the detailed definition of each usability information may be arbitrarily changed. For example, in the embodiment, the "service usability information" in FIG. 3 is described as service usability information that specifies the possibility that at least one target service belonging to the target service category is used in at least one business belonging to the business category, but it may be arbitrarily changed. For example, the detailed definition of the "service usability information" in FIG. 3 may be changed to information that specifies the possibility that at least one target service belonging to the target service category is used in all businesses belonging to the business category. Furthermore, for example, the detailed definition of the "service usability information" in FIG. 3 may be changed to information that specifies the possibility that any number of target services belonging to the target service category are used in any number of businesses belonging to the business category. Note that the "any number" here may be a number that is determined in advance, or a number that corresponds to a predetermined ratio to the total number. Note that the detailed definition of the function usability information in FIG. 4 may be changed in the same manner. That is, for example, the definition of the "function usability information" in FIG. 4 may be changed to information that identifies the possibility that the function may be used to perform all target services belonging to the target service category, or the definition may be changed to information that identifies the possibility that the function may be used to perform any number of target services belonging to the target service category.

(Determining business importance)
In the above embodiment, the determination unit 152 determines the importance of a technology by using all of the business importance information, the service availability information, the function availability information, and the technology availability information. However, the present invention is not limited to this. The determination unit 152 may determine the importance of a technology by using only the business importance information. Specifically, the determination unit 152 may determine the importance of a technology by using a formula for calculating the importance of a technology used in a business from the importance of the business corresponding to the target service, and may calculate and determine the importance of the technology by using the formula without using each availability information. The determination unit 152 may determine the importance of a technology by using the business importance information and at least one of each availability information. Specifically, the determination unit 152 may be realized by using the above-mentioned formula technique.

(Regarding User Input of Target Service Information)
Also, matters related to the input of the target service information described in SA1 of Fig. 7 may be changed arbitrarily. For example, in order to assist the input of the target service information of Fig. 2, the target service information may be displayed as an input candidate and selected. Alternatively, for example, when the user inputs information similar to the information recorded in the target service information of Fig. 2 instead of the information itself, the recorded target service information may be predicted from the similar information, and the acquisition unit 151 may acquire the predicted target service information. Note that the specific method for prediction is arbitrary, and for example, a technology such as deep learning may be used.

(About output of information)
In the above embodiment, the control unit 15 may be configured to output any information via the output unit 13. Specifically, the importance levels determined in SB1 to SB3 of FIG. 8 may be output at any timing.

(About the threshold)
Moreover, the threshold value in Fig. 10 described in the above embodiment may be determined using any method. For example, a predetermined fixed value may be used as the threshold value regardless of the number of categories specified in SA2 in Fig. 7 or the value of the technology importance determined in SB3 in Fig. 8. Alternatively, a threshold value may be determined based on the number of categories specified in SA2 in Fig. 7 or the value of the technology importance determined in SB3 in Fig. 8, and the determined threshold value may be used.

In the latter case, for example, taking into consideration the tendency that the greater the number of categories identified in SA2, the greater the value of the technology importance calculated and determined, a threshold value that shifts to the right in FIG. 10 as the number of identified categories increases may be predefined, and information (e.g., table information, etc.) that specifies the number of categories and the threshold value corresponding to that number may be recorded in the recording unit 14. In SA4 of FIG. 7, the information in the recording unit 14 may be referenced, and the threshold value corresponding to the number of categories identified in SA2 may be used to generate the aforementioned groups, and the processing described in the embodiment may be performed.

Also, for example, the threshold value may be set so that the technology corresponding to the maximum technology importance among the values of technology importance determined in SB3 of FIG. 8 is included in the "adopted" group. Although the specific example is arbitrary, for example, in SA4 of FIG. 7, the maximum value among the technology importance values determined in SB3 of FIG. 8 is obtained, and in FIG. 10, a threshold value corresponding to a line (a line parallel to the threshold line in FIG. 10) passing through a value (hereinafter, "first value") that is a predetermined percentage (for example, a value about 20% lower) lower than the maximum value is determined, and a threshold value corresponding to a line (a line parallel to the threshold line in FIG. 10) passing through a value (hereinafter, "second value") that is an even further predetermined percentage (for example, a value about 20% lower) lower than the above-mentioned "first value" is determined, and the above-mentioned groups are generated using these determined threshold values, and the processing described in the embodiment may be performed.

(About the group)
In addition, in the above embodiment, as shown in FIG. 10, a case has been described in which three groups are generated and divided into the three groups, but this is not limited thereto, and the images may be divided into, for example, two groups or four or more groups.

(Regarding specific parts)
Moreover, the "object identification information" may be recorded in the recording unit 14 of the determining device 100 of the above embodiment, and an identification unit may be provided in the control unit 15. Fig. 17 is a diagram illustrating an example of the object identification information.

"Object identification information" is information that identifies an object and a target service. As shown in FIG. 17, the object identification information is, for example, mutually associated with information corresponding to the item "object information" and information corresponding to the item "target service information." Note that the information corresponding to the item "target service information" is the same as the information of the same name in FIG. 2. The item "object information" is object information that identifies an object (in FIG. 17, it is a type of facility stipulated by any standard (for example, the Fire Service Act, etc.), such as "theater").

The "identification unit" is an identification means for identifying whether or not the target service identified by the target service information acquired by the acquisition unit 151 covers the objects identified by the object information stored in the recording unit 14. The implementation method of this identification unit is arbitrary, but for example, it may be implemented so as to perform processing in SA1 of FIG. 7. For example, when the acquisition unit 151 acquires the target service information, the identification unit refers to the object identification information of FIG. 17 to determine whether or not the acquired target service information corresponds to all the object information, and if it is determined that the acquired target service information corresponds to all the object information, it identifies that the acquired target service information covers the objects identified by the object information of the object identification information, and on the other hand, if it is not determined that the acquired target service information corresponds to all the object information, it identifies that the acquired target service information does not cover the objects identified by the object information of the object identification information. If it is determined that the target service information is comprehensive, the process proceeds to SA2 in Figure 7. On the other hand, if it is determined that the target service information is not comprehensive, the identification unit may be configured to output information regarding a shortage of target service information via the output unit 13 in Figure 1 (for example, information notifying the user of the shortage, or information informing the user of the missing target service information, etc.).

Here, for example, in the object information of FIG. 17, various information (e.g., "department store" not shown) may be actually recorded in addition to the information such as "theater" specifically shown in the figure, but for the sake of convenience, it is assumed here that only the specifically described information is recorded. In this case, if the acquisition unit 151 acquires only "facial expression detection" and "crowding situation (human presence)" through the user's input, it corresponds to "theater", "movie theater", and "cafe" in FIG. 17, but does not correspond to "karaoke" and "apartment house", so the identification unit does not determine that it corresponds to all the object information, but determines that it is not comprehensive, and outputs information regarding the lack of target service information. After this, if the acquisition unit 151 acquires "cigarette detection (air quality)" and "carbon monoxide poisoning prevention (CO)" through additional input by the user, it also corresponds to "karaoke" and "apartment house" in FIG. 17, so the identification unit determines that it corresponds to all the object information, determines that it is comprehensive, and moves to SA2.

By configuring it in this way, it is possible to determine the importance of a technology, for example, by assuming that the target service covers the target object, by determining whether the target service covers the target object. This makes it possible to make an appropriate decision about introducing the technology, assuming that there are sufficient target services.

(Features)
Furthermore, the features of the embodiments and the features of the modifications may be combined in any manner.

(Additional Note)
The determination system of Appendix 1 comprises an acquisition means for acquiring target service information, and a determination means for determining the importance of a technology corresponding to a target service identified by the target service information acquired by the acquisition means, based at least on the importance of a business corresponding to a target service identified by the target service information acquired by the acquisition means.

The determination system of Appendix 2 is the determination system described in Appendix 1, further comprising a grouping means for grouping the technologies based on the determination results of the determination means and the costs of the technologies.

The determination system of Supplementary Note 3 is the determination system described in Supplementary Note 1 or 2, in which the determination means determines the importance of the technology based on the importance of the business, the usability in the business of the target service identified by the target service information, the usability in the target service of a function corresponding to the target service identified by the target service information, and the usability in the function of the technology corresponding to the function.

The determination system of Supplementary Note 4 is the determination system described in any one of Supplementary Notes 1 to 3, and further includes a classification means for classifying the target services identified by the target service information acquired by the acquisition means, and the determination means determines the importance of the technology corresponding to the target service category identified by the target service information classified by the classification means based at least on the importance of the business category corresponding to the target service category identified by the target service information classified by the classification means.

The determination system of Supplementary Note 5 is a determination system according to any one of Supplementary Notes 1 to 4, and includes a storage means for storing object information that identifies an object to which the target service identified by the target service information should be applied, and an identification means for identifying whether the target service identified by the target service information acquired by the acquisition means covers the object identified by the object information stored in the storage means.

The determination method of Appendix 6 includes an acquisition step in which an acquisition means acquires target service information, and a determination step in which a determination means determines the importance of the technology corresponding to the target service identified by the target service information acquired by the acquisition means based at least on the importance of the business corresponding to the target service identified by the target service information acquired by the acquisition means.

The determination method of Appendix 7 is the determination method described in Appendix 6, including a grouping step in which a grouping means groups the technologies based on the determination results of the determination means and the costs of the technologies.

The determination method of Supplementary Note 8 is the determination method of Supplementary Note 6 or 7, in which the determination means determines the importance of the technology based on the importance of the business, the usability in the business of the target service identified by the target service information, the usability in the target service of a function corresponding to the target service identified by the target service information, and the usability in the function of the technology corresponding to the function.

The determination method of Supplementary Note 9 is the determination method described in any one of Supplementary Notes 6 to 8, and includes a classification step in which a classification means classifies the target service identified by the target service information acquired by the acquisition means, and the determination means determines the importance of the technology corresponding to the target service category identified by the target service information classified by the classification means based at least on the importance of the business category corresponding to the target service category identified by the target service information classified by the classification means.

The determination method of Supplementary Note 10 is the determination method described in any one of Supplementary Notes 6 to 9, and includes a determination step in which a determination means determines whether or not the target service identified by the target service information acquired by the acquisition means covers the object identified by the object information stored in a storage means that stores object information that identifies the object to which the target service identified by the target service information should be applied.

The determination program of Appendix 11 causes a computer to function as an acquisition means for acquiring target service information, and as a determination means for determining the importance of a technology corresponding to a target service identified by the target service information acquired by the acquisition means, based at least on the importance of a business corresponding to a target service identified by the target service information acquired by the acquisition means.

(Effect of supplementary notes)
According to the determination system described in Supplementary Note 1, the determination method described in Supplementary Note 6, and the determination program described in Supplementary Note 11, by determining the importance of a technology corresponding to a target service based on the importance of a business corresponding to the target service, it is possible to appropriately determine the introduction of the technology, for example, since it is possible to determine the introduction of the technology using the importance of the technology. In particular, by determining the importance of a technology based on the importance of a business, it is possible to determine the introduction of the technology taking the business into consideration, for example.

According to the decision-making system described in Appendix 2 and the decision-making method described in Appendix 7, technologies are grouped based on the importance and cost of the technology, and it becomes possible to easily make decisions about introducing the technology using the grouping results, for example.

According to the determination system described in Appendix 3 and the determination method described in Appendix 8, the importance of the technology is determined based on the importance of the business, the usability of the target service in the business, the usability of the function corresponding to the target service in the target service, and the usability of the technology in the function. For example, the usability of the target service, function, and technology can be reflected in the importance of the technology, making it possible to make appropriate decisions regarding the introduction of the technology.

According to the determination system described in Appendix 4 and the determination method described in Appendix 9, the importance of the technology corresponding to the target service category is determined based on the importance of the business category corresponding to the target service category. Therefore, even if there are many similar target services, the similar target services can be treated as a single target service category, making it possible to appropriately determine the importance of the technology.

The determination system described in Appendix 5 and the determination method described in Appendix 10 can determine the importance of a technology by, for example, assuming a target service that covers the target object, by identifying whether the target service covers the target object. This makes it possible to make an appropriate decision about introducing a technology, assuming there are sufficient target services.

11 Communication unit 12 Input unit 13 Output unit 14 Recording unit 15 Control unit 100 Determination device 151 Acquisition unit 152 Determination unit 153 Grouping unit 154 Classification unit

Claims (7)

An acquisition means for acquiring target service information that identifies a target service that is a service to be realized among a plurality of services ;
a determination means for determining the importance of each of a plurality of devices or systems that are options for realizing a function corresponding to a target service identified by the target service information acquired by the acquisition means, based on at least the importance of each of the facilities corresponding to the target service identified by the target service information acquired by the acquisition means;
A decision system comprising: The determination means determines the importance of each of the plurality of devices or systems based on the importance of each of the facilities and availability of the target service identified by the target service information.
The decision system of claim 1 . The determining means is
a first process for determining a first importance level based on a first usability level of a target service specified by the target service information, based on the importance level of each of the facilities and a first usability level which is the usability level of a target service specified by the target service information at the facility;
a second process for determining a second importance based on the second usability for a target service specified by the target service information, based on the first importance determined in the first process and a second usability which is the usability of a function corresponding to the target service specified by the target service information in the target service;
performing a third process of identifying an importance of each of the plurality of devices or systems based on the second importance identified in the second process and a third usability, which is a usability of the plurality of devices or systems corresponding to the function, for the function;
A determination system according to claim 1 or 2. A grouping means for grouping the plurality of devices or systems based on a result of the determination by the determination means and costs of the plurality of devices or systems .
A determination system according to any one of claims 1 to 3 . a storage means for storing object information that specifies an object to which the target service specified by the target service information should be applied;
and a determination unit that determines whether or not the target service identified by the target service information acquired by the acquisition unit covers the object identified by the object information stored in the storage unit.
A determination system according to any one of claims 1 to 4 . An acquisition means configured by a computer acquires target service information inputted thereto, the target service information identifying a target service that is a service to be realized among a plurality of services ;
A determination means configured by a computer determines the importance of each of a plurality of devices or systems that are options for realizing a function corresponding to the target service identified by the target service information acquired by the acquisition means, based at least on the importance of each of the facilities corresponding to the target service identified by the target service information acquired by the acquisition means.
How to decide. Computer,
An acquisition means for acquiring target service information that identifies a target service that is a service to be realized among a plurality of services ;
a determination means for determining the importance of each of a plurality of devices or systems that are options for realizing a function corresponding to a target service identified by the target service information acquired by the acquisition means, based on at least the importance of each of the facilities corresponding to the target service identified by the target service information acquired by the acquisition means;
A decision program to act as.

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