JP7584904B2 - Flame detector and flame detector deterioration degree determination device - Google Patents

Description

The present invention relates to technology for maintaining flame detectors.

There are cases where a disaster prevention system will no longer function properly due to deterioration. Various technologies have been proposed to prevent such inconveniences. For example, Patent Document 1 proposes a disaster prevention system that monitors the value of the current flowing through a signal line connecting a terminal device that outputs a fire signal to a disaster prevention receiving panel when a fire is detected and the disaster prevention receiving panel, and if the current value changes significantly, determines that this is a sign of a failure caused by insulation deterioration of the signal line, etc., and outputs a warning.

JP 2018-67032 A

There are flame detectors that detect flames using a sensor that is sensitive to the light emitted by the flame. One of the causes of malfunctions in such flame detectors is the deterioration of the components that make up the flame detector. For example, when the light-sensitive sensor in a flame detector deteriorates, the amplitude value of the signal output from the sensor may show irregular fluctuations regardless of the presence or absence of light. Also, when the amplifier that amplifies the signal generated by the sensor deteriorates, the amplitude value of the signal from the sensor amplified by the amplifier may show a steadily high value regardless of the presence or absence of light.

As parts deteriorate as described above, the accuracy of the flame detection judgment made by the flame detector decreases. Therefore, if the degree of deterioration of the flame detector can be known, the accuracy of the flame detection judgment required of the flame detector can be maintained by replacing parts, etc.

In light of these circumstances, the present invention aims to make it possible to know the degree of deterioration of a flame detector.

To solve the above problems, the present invention provides, as a first aspect, a flame detector including a sensor that measures light intensity, a flame detection unit that detects a flame based on the light intensity measured by the sensor, an obstruction period determination unit that determines a period during which light traveling from the outside world toward the sensor is obstructed, and an output unit that outputs data indicating the light intensity measured by the sensor during the period determined by the obstruction period determination unit as data indicating noise.

With the flame detector according to the first aspect, the degree of deterioration of the flame detector can be determined from the noise indicated by the output data.

In the flame detector according to the first aspect, a second aspect may be adopted in which the occlusion period determination unit determines a period during which light traveling from the outside world toward the sensor is blocked based on the measurement results of the sensor.

The flame detector according to the second aspect does not require a separate sensor or the like to detect whether or not there is an obstruction.

A third aspect of the flame detector according to the first aspect may include a shielding member detection unit that detects that a shielding member that blocks light traveling from the outside toward the sensor has been attached to the device, and the shielding period determination unit determines the period during which light traveling from the outside toward the sensor is blocked based on the detection result by the shielding member detection unit.

The flame detector of the third aspect can quickly output data indicating noise when the shielding member is attached.

A fourth aspect of the flame detector according to any one of the first to third aspects may include a thermometer that measures temperature, and a correction unit that corrects the light intensity measured by the sensor during the period identified by the occlusion period identification unit based on the temperature measured by the thermometer, and the output unit outputs data indicating the intensity after correction by the correction unit as data indicating noise.

The flame detector according to the fourth aspect maintains the reliability of data indicating noise even if the light intensity measured by the sensor is subject to errors due to the effects of temperature.

The present invention also provides, as a fifth aspect, a flame detector deterioration level determination device comprising an acquisition unit that continuously acquires data indicative of noise output from a flame detector according to any one of the first to fourth aspects, a storage unit that stores the data indicative of noise acquired by the acquisition unit, and a deterioration level determination unit that determines the deterioration level of the flame detector based on the change over time in the noise indicated by the data stored in the storage unit.

According to the deterioration level determination device of the fifth aspect, the deterioration level of the flame detector is determined.

The present invention makes it possible to know the degree of deterioration of a flame detector.

1 is a diagram showing an overall configuration of a flame detection system according to an embodiment; FIG. 2 is a diagram illustrating a hardware configuration of a flame detector according to an embodiment. FIG. 1 is a diagram illustrating an example of an external appearance of a flame detector according to an embodiment. 1 is a diagram illustrating an example of the appearance of a shielding device according to an embodiment; FIG. 2 is a diagram illustrating a functional configuration of a flame detector according to an embodiment. FIG. 13 is a diagram illustrating an example of the configuration of a measurement value log table according to an embodiment. FIG. 4 is a diagram illustrating the configuration of a temperature correction constant table according to an embodiment. 11 is a graph for explaining a method for an occlusion period determination unit to determine an occlusion period according to an embodiment; FIG. 2 is a diagram showing a schematic diagram of a hardware configuration of a disaster prevention receiving panel according to an embodiment. FIG. 2 is a diagram showing a schematic functional configuration of a disaster prevention receiving panel according to an embodiment. FIG. 4 is a diagram illustrating a configuration of a night vision noise table according to an embodiment. 5 is a graph for explaining a method in which a deterioration level determining device according to an embodiment determines a deterioration level and estimates deteriorated parts. 5 is a graph for explaining a method in which a deterioration level determining device according to an embodiment determines a deterioration level and estimates deteriorated parts. FIG. 13 is a diagram illustrating the configuration of a degradation diagnosis result table according to an embodiment. FIG. 13 is a diagram illustrating a degradation diagnosis screen displayed by a terminal device according to an embodiment. FIG. 13 is a diagram illustrating a hardware configuration of a flame detector according to a modified example. FIG. 13 is a diagram illustrating a functional configuration of a flame detector according to a modified example.

[Embodiment]
Hereinafter, a description will be given of a flame detection system 1 according to an embodiment of the present invention. Fig. 1 is a diagram showing an overall configuration of the flame detection system 1. The flame detection system 1 is a system that detects a flame occurring in a tunnel TN.

The flame detection system 1 includes n flame detectors, i.e., flame detectors 11(1), 11(2), 11(3), ..., 11(n), that are installed at approximately equal intervals along the direction of vehicle travel inside the tunnel TN. Hereinafter, these n flame detectors will be collectively referred to as flame detectors 11.

Each flame detector 11 essentially has two flame detectors integrated into it. Specifically, the flame detector 11 has a flame detector (hereinafter referred to as the "right flame detector") whose monitoring area is a specified area on the right side of the flame detector 11, and a flame detector (hereinafter referred to as the "left flame detector") whose monitoring area is a specified area on the left side of the flame detector 11.

Tunnel TN is divided into monitoring areas A(1), A(2), A(3), ..., A(n-1). Hereinafter, these (n-1) monitoring areas will be collectively referred to as monitoring area A. Each of monitoring areas A is monitored in an overlapping manner by two adjacent flame detectors 11. For example, monitoring area A(1) is monitored by the left flame detector of flame detector 11(1) and the right flame detector of flame detector 11(2). Therefore, even if one of the two adjacent flame detectors 11 fails, monitoring of monitoring area A will not be interrupted unless the other fails at the same time.

In addition to the flame detectors 11, the flame detection system 1 includes a disaster prevention receiving panel 12 communicatively connected to each of the flame detectors 11, a server device 13 communicatively connected to the disaster prevention receiving panel 12, and a terminal device 14 capable of communicating with the server device 13.

Figure 2 is a diagram showing a schematic diagram of the hardware configuration of the flame detector 11. The flame detector 11 includes a computer 101, four sensors connected to the computer 101, namely, sensor 111R, sensor 112R, sensor 111L, and sensor 112L, four amplifiers corresponding to the four sensors, namely, amplifier 113R, amplifier 114R, amplifier 113L, and amplifier 114L, and a thermometer 115 connected to the computer 101.

Sensors 111R and 112R are optical sensors for monitoring the monitoring area A on the right side as seen from the flame detector 11. Sensors 111L and 112L are optical sensors for monitoring the monitoring area A on the left side as seen from the flame detector 11.

Sensors 111R and 111L are long-wavelength optical sensors that respond with high sensitivity to the long-wavelength band emitted by a flame (heat source). For example, optical sensors using pyroelectric elements are used as sensors 111R and 111L. Hereinafter, sensors 111R and 111L are collectively referred to as sensors 111.

Sensors 112R and 112L are short wavelength optical sensors that respond with high sensitivity to the short wavelength band emitted by a flame (heat source). For example, optical sensors using photodiodes are used as sensors 112R and 112L. Hereinafter, sensors 112R and 112L are collectively referred to as sensors 112.

Amplifier 113R is connected between computer 101 and sensor 111R and amplifies the signal generated by sensor 111R in response to light. Amplifier 114R is connected between computer 101 and sensor 112R and amplifies the signal generated by sensor 112R in response to light. Amplifier 113L is connected between computer 101 and sensor 111L and amplifies the signal generated by sensor 111L in response to light. Amplifier 114L is connected between computer 101 and sensor 112L and amplifies the signal generated by sensor 112R in response to light.

In the following description, unless otherwise specified, the signal output from sensor 111 or sensor 112 means the signal output from sensor 111 or sensor 112 and amplified by amplifier 113 or amplifier 114.

The thermometer 115 measures the temperature inside the housing of the flame detector 11 and outputs temperature data indicating the measured temperature to the computer 101.

The computer 101 is equipped with a processor 1011 that processes data according to a program, a memory 1012 that stores various data including the program, an input/output interface 1013 that receives signal input from four sensors via four amplifiers and temperature data input from a thermometer 115, and a communication interface 1014 that communicates data with the disaster prevention receiving panel 12.

In addition to the components shown in FIG. 2, the flame detector 11 also includes components such as an A/D converter that converts the analog signals output by the four sensors into digital signals. However, since these are unrelated to the features of the present invention, they are omitted from FIG. 2 and will not be described in the following explanation.

Figure 3 is a diagram illustrating the external appearance of the flame detector 11. The flame detector 11 has a light-transmitting window W, through which light from the outside world enters the housing of the flame detector 11. The sensors 111 and 112 are sensitive to the light that passes through the window W and enters from the outside world. Note that the housing of the flame detector 11 (parts other than the window W) does not transmit light.

A maintenance worker who maintains the flame detection system 1, for example, periodically visits the tunnel TN and continuously covers the window W of each flame detector 11 with a shielding device S for approximately a predetermined time (e.g., 30 seconds). This work is performed to measure noise (hereinafter referred to as "night vision noise"), which is a component not derived from light, contained in the signal output from the sensor 111 or sensor 112 of the flame detector 11.

Figure 4 is a diagram illustrating the appearance of the shielding device S. Figure 4(a) is a diagram of the shielding device S seen from the front, Figure 4(b) is a diagram of the shielding device S seen from the back, and Figure 4(c) is a diagram of the shielding device S seen from above. The shielding device S comprises a light-opaque shielding plate P, a handle H attached to the front side of the shielding plate P, and an elliptical ring-shaped elastic member C (which, together with the shielding plate P, constitutes an example of a shielding member) attached to the back side of the shielding plate P. A maintenance worker grasps the handle H and presses the shielding device S against the flame detector 11 at a position where the elastic member C approximately coincides with the outer periphery of the window W of the flame detector 11, thereby covering the window W.

Figure 5 is a diagram showing a schematic diagram of the functional configuration of the flame detector 11. That is, the processor 1011 of the computer 101 executes processing according to the program according to this embodiment, thereby realizing the flame detector 11 equipped with a determination device indicated by reference numeral 116 in Figure 5. The functional configuration of the determination device 116 will be described below.

The determination device 116 includes a determination device 116R that determines whether a flame is detected using signals output from sensors 111R and 112R, and a determination device 116L that determines whether a flame is detected using signals output from sensors 111L and 112L. Since the configurations of the determination devices 116R and 116L are the same, the configuration of the determination device 116R will be described below as an example, and a description of the configuration of the determination device 116L will be omitted.

The determination device 116R includes a memory unit 1161R, an acquisition unit 1162R, a correction unit 1163R, a shielding period determination unit 1164R, a flame detection unit 1165R, a transmission/reception unit 1166R, and a timing unit 1167R.

The memory unit 1161R is realized by the memory 1012 that operates under the control of the processor 1011. The memory unit 1161R stores various data. The data stored in the memory unit 1161R includes a measurement value log table, a temperature correction constant table, and steady-state correction constant data.

Figure 6 is a diagram illustrating the configuration of the measurement value log table. The measurement value log table is prepared for each of the sensors 111R and 112R. The measurement value log table has a "time" column, a "temperature" column, a "intensity (actual measurement)" column, a "intensity (after temperature correction)" column, and a "intensity (after steady state correction)" column. The "time" column stores the time measured by the timer unit 1167R when a signal is output from the sensor. The "temperature" column stores the temperature measured by the thermometer 115 when a signal is output from the sensor. The "intensity (actual measurement)" column stores the amplitude value of the signal output from the sensor. The "intensity (after temperature correction)" column stores the value obtained by correcting the amplitude value stored in the "intensity (actual measurement)" column using a temperature correction constant described later by the correction unit 1163R. The "intensity (after steady state correction)" column stores the value obtained by correcting the amplitude value stored in the "intensity (after temperature correction)" column using a steady state correction constant described later by the correction unit 1163R.

Figure 7 is a diagram illustrating the configuration of a temperature correction constant table. A temperature correction constant table is prepared for each of sensors 111R and 112R. The temperature correction constant table has columns for "Temperature" and "Temperature correction constant". Various temperatures are stored in the "Temperature" column. The "Temperature correction constant" column stores a temperature correction constant corresponding to the temperature stored in the "Temperature" column. The amplitude values of the signals generated by sensors 111R and 112R are biased due to the influence of temperature. The temperature correction constant is a value that is subtracted from the amplitude value of the signal generated by sensor 111R or sensor 112R to cancel the bias due to the influence of temperature, and is a value measured in advance by an experiment using sensor 111R or sensor 112R.

The steady-state correction constant data is data that indicates a steady-state correction constant. In addition to the bias due to the temperature influence described above, the amplitude values of the signals generated by the sensors 111R and 112R are also subject to a bias unrelated to temperature. The steady-state correction constant is a value that is subtracted from the amplitude value of the signal generated by the sensor 111R or the sensor 112R to cancel the bias unrelated to temperature. In this embodiment, the average value of the amplitude values indicated by the night vision noise data described below is used as the steady-state correction constant.

The functional configuration of the flame detector 11 (Figure 5) will be explained further. The acquisition unit 1162R is realized by the input/output interface 1013 that operates under the control of the processor 1011. The acquisition unit 1162R continuously acquires the signal output from the sensor 111R and the signal output from the sensor 112R. The amplitude values of those signals acquired by the acquisition unit 1162R are stored in a measurement value log table together with the time and temperature at that point in time.

The correction unit 1163R is realized by the processor 1011. When new data is stored in the "Time", "Temperature" and "Intensity (Actual)" columns of the measurement value log table, the correction unit 1163R refers to the temperature correction constant table to identify a temperature correction constant corresponding to the temperature stored in the "Temperature" column, and stores the value obtained by subtracting the temperature correction constant from the amplitude value stored in the "Intensity (Actual)" column in the "Intensity (After Temperature Correction)" column. The correction unit 1163R then stores the value obtained by subtracting the steady-state correction constant from the value stored in the "Intensity (After Temperature Correction)" column in the "Intensity (After Steady-State Correction)" column.

The occlusion period determination unit 1164R is realized by the processor 1011. The occlusion period determination unit 1164R determines, for each of the sensors 111R and 112R, a period during which light traveling from the outside world toward the sensor is blocked (hereinafter referred to as the "occlusion period"), based on the data stored in the measurement value log table corresponding to the sensor.

Figure 8 is a graph for explaining the method of identifying the occlusion period performed by the occlusion period identification unit 1164R. The graph in Figure 8 shows the change in light intensity over time, indicated by the amplitude value stored in the "Intensity (actual measurement)" column of the measurement value log table corresponding to the sensor 111, for example. Note that since the graph in Figure 8 is a graph relating to a short period of time, such as a few minutes, the value stored in the "Intensity (after temperature correction)" column or the "Intensity (after steady-state correction)" column may be used instead of the amplitude value stored in the "Intensity (actual measurement)" column.

Based on the data stored in the measurement value log table, for example, if the intensity drops sharply, and then the intensity fluctuations remain within a predetermined threshold for a predetermined period of time (e.g., 25 to 35 seconds), and then the intensity rises sharply, the occlusion period determination unit 1164R determines the period from when the intensity suddenly dropped to when the intensity suddenly rose as the occlusion period. In the example graph of FIG. 8, the occlusion period determination unit 1164R determines period Q1 as the occlusion period.

The functional configuration of the flame detector 11 (Figure 5) will be explained further. The flame detection unit 1165R is implemented by the processor 1011. The flame detection unit 1165R refers to the measurement value log table, and if it determines that the amplitude value of the signal output from the sensor 111R (the value in the "Intensity (after steady-state correction)" column) and the amplitude value of the signal output from the sensor 112R (the value in the "Intensity (after steady-state correction)" column) satisfy a predetermined condition, it stores data indicating that a flame has been detected in the memory unit 1161R. Furthermore, if the flame detection unit 1165R determines that the condition is not satisfied, it stores data indicating that a flame has not been detected in the memory unit 1161R.

Examples of conditions used by the flame detection unit 1165R to determine whether a flame has been detected are shown below.
(Condition 1) The amplitude value of the signal output from the sensor 111R is equal to or greater than a threshold value T1.
(Condition 2) The amplitude value of the signal output from sensor 112R is equal to or greater than threshold value T2.
(Condition 3) The ratio of the amplitude value of the signal output from sensor 111R to the amplitude value of the signal output from sensor 112R is equal to or greater than a threshold value T3 and equal to or smaller than a threshold value T4 (where T3<T4).

The flame detection unit 1165R determines that a flame has occurred if all of the above conditions 1 to 3 have been met a predetermined number of times or more within a predetermined period of time (e.g., 10 seconds) in the past.

The transmitting/receiving unit 1166R (an example of an output unit) is realized by the communication interface 1014 that operates under the control of the processor 1011. The transmitting/receiving unit 1166R continuously outputs a flame detection signal to the disaster prevention receiving panel 12 while data indicating that a flame has been detected is stored in the memory unit 1161R. The transmitting/receiving unit 1166R also outputs data during the occlusion period identified by the occlusion period identification unit 1164R, from among the data stored in the measurement value log table, to the disaster prevention receiving panel 12 as data indicating night vision noise (hereinafter referred to as "night vision noise data").

The transmitter/receiver 1166R also receives steady-state correction constant data transmitted from the disaster prevention receiving panel 12. The steady-state correction constant data received by the transmitter/receiver 1166R overwrites the steady-state correction constant data already stored in the memory unit 1161R.

The timekeeping unit 1167R is realized by the processor 1011. The timekeeping unit 1167R continuously measures the elapsed time from a reference time, identifies the current time, and generates a time signal indicating the identified current time.

The disaster prevention receiving panel 12 (Fig. 1) that constitutes the flame detection system 1 is installed inside the tunnel TN, and when it receives a flame detection signal from the flame detector 11, it warns people in the vicinity by displaying or sounding an alarm, and transmits a notification that a flame has been detected to the server device 13. In addition to the functions of such a general disaster prevention receiving panel, the disaster prevention receiving panel 12 also has a function to determine the degree of deterioration of the flame detector 11 based on the night vision noise data output from the flame detector 11.

Figure 9 is a diagram showing a schematic diagram of the hardware configuration of the disaster prevention receiving panel 12. The disaster prevention receiving panel 12 includes a computer 102, and a display 121 and an operation unit 122 connected to the computer 102.

The computer 102 includes a processor 1021 that processes data according to a program, a memory 1022 that stores various data including the program, an input/output interface 1023 that inputs and outputs signals between the display 121 and the operation unit 122, and a communication interface 1024 that communicates data between the n flame detectors 11 and the server device 13.

Figure 10 is a diagram showing a schematic diagram of the functional configuration of the disaster prevention receiving panel 12. That is, the processor 1021 of the computer 102 executes processing according to the program according to this embodiment, thereby realizing the disaster prevention receiving panel 12 equipped with a deterioration degree determination device indicated by reference numeral 123 in Figure 10. The functional configuration of the deterioration degree determination device 123 will be described below.

The deterioration level determination device 123 includes a memory unit 1231, an acquisition unit 1232, a deterioration level determination unit 1233, a transmission unit 1234, a display control unit 1235, and an operation reception unit 1236.

The storage unit 1231 is realized by the memory 1022 that operates under the control of the processor 1021, and stores various data. For example, night vision noise data transmitted from the flame detector 11 and acquired by the acquisition unit 1232 is stored in the storage unit 1231. FIG. 11 is a diagram illustrating the configuration of a table (hereinafter referred to as a "night vision noise table") that the storage unit 1231 stores to store night vision noise data. The storage unit 1231 stores a night vision noise table corresponding to each of the four sensors for each of the multiple flame detectors 11.

The night vision noise table has the following columns: "Date and time", "Night vision noise data", "Average value", "Standard deviation", and "Data abnormality". The "Date and time" column stores, for example, the first date and time of the night vision period indicated by the night vision noise data. The "Night vision noise data" column stores night vision noise data. Note that each piece of night vision noise data contains multiple records because it is a portion of the data extracted from the measurement value log table (Figure 6). The "Average value" column stores the average value of the values stored in the "Intensity (after temperature correction)" column of the night vision noise data. The "Standard deviation" column stores the standard deviation of the values stored in the "Intensity (after temperature correction)" column of the night vision noise data. The "Data abnormality" column stores data indicating whether the night vision noise data stored in the "Night vision noise data" column is abnormal or not.

Returning to the explanation of the functional configuration of the disaster prevention receiving panel 12 (Figure 10), the acquisition unit 1232 is realized by the communication interface 1024 that operates under the control of the processor 1021. The acquisition unit 1232 acquires flame detection signals and night vision noise data from each of the n flame detectors 11. The night vision noise data acquired by the acquisition unit 1162 is stored in a night vision noise table.

The deterioration level determination unit 1233 is realized by the processor 1021. When new night vision noise data is stored in any of the night vision noise tables, the deterioration level determination unit 1233 calculates the average value and standard deviation of the values stored in the "Intensity (after temperature correction)" column of the night vision noise data, and stores them in the corresponding columns of the night vision noise table. In addition, the deterioration level determination unit 1233 determines that, among the night vision noise data stored in the night vision noise table, data whose average value or standard deviation deviates from the average value or standard deviation of other night vision noise data before and after it by more than a predetermined threshold value is abnormal data, and stores data indicating the determination result in the "Data abnormality" column.

The deterioration level determination unit 1233 also performs the following determinations and estimates for each of the four sensors of each of the multiple flame detectors 11 based on the data stored in the night vision noise table corresponding to that sensor (excluding data from records in which data indicating that the data is abnormal is stored in the "Data Abnormality" column).

(1) If the average intensity value indicated by the most recent night vision noise data is equal to or greater than a predetermined threshold A1, it is determined that a part needs to be replaced. In addition, the amplifier is estimated as the part that needs to be replaced.
(2) If the standard deviation of the intensity of the most recent night vision noise data is equal to or greater than a predetermined threshold B1, it is determined that the part needs to be replaced. In addition, the sensor is estimated as the part that needs to be replaced.
(3) If the day on which the average intensity value reaches a predetermined threshold A1, which is estimated based on the change over time of the average intensity value indicated by the night vision noise data for a predetermined period in the past, is within a predetermined number of days from the present, it is determined that the part will need to be replaced in the near future. Also, the amplifier is estimated as the part that needs to be replaced.
(4) If the day on which the standard deviation of the intensity, which is estimated based on the time-dependent change in the standard deviation of the intensity indicated by the night vision noise data for a predetermined period in the past, reaches a predetermined threshold value B1, is within a predetermined number of days from the present, it is determined that the part will need to be replaced in the near future. Also, the sensor is estimated as the part that needs to be replaced.

Figures 12 and 13 are graphs for explaining the method by which the deterioration level determination device 123 performs the above determination and estimation. The graphs in Figures 12(a) and 13(a) are curves that approximate points corresponding to the values in the "Date and Time" and "Average Value" columns of the night vision noise table. Note that the solid line portion of the curve shows the progress of the average value up to the present, and the dashed dotted line portion shows the progress of the average value predicted for the future.

The graphs in Figures 12(b) and 13(b) are curves that approximate points corresponding to the values in the "Date and Time" and "Standard Deviation" columns of the night vision noise table. Note that the solid line portion of the curve shows the progress of the standard deviation up to the present, and the dashed dotted line portion shows the predicted progress of the standard deviation in the future.

The graph in FIG. 12(a) shows that at the current date and time d1, the average value of the intensity indicated by the night vision noise data has not reached the threshold value A1. Also, the graph in FIG. 12(b) shows that at the current date and time d1, the standard deviation of the intensity indicated by the night vision noise data has not reached the threshold value B1. Therefore, based on these data, the deterioration degree determination unit 1233 determines that the sensor corresponding to these data or the amplifier connected to that sensor does not need to be replaced.

The graph in FIG. 12(a) also shows that it is estimated that the average intensity indicated by the night vision noise data will reach the threshold value A1 at date and time d2 within a predetermined number of days D1 from the current date and time d1. The graph in FIG. 12(b) also shows that it is estimated that the standard deviation of the intensity indicated by the night vision noise data will not reach the threshold value B1 within a predetermined number of days D1 from the current date and time d1. Therefore, based on this data, the deterioration degree determination unit 1233 determines that the sensor corresponding to this data or the amplifier connected to that sensor will soon need to be replaced, and in that case, it estimates that the part to be replaced is the amplifier.

The graph in FIG. 13(a) shows that at the current date and time d1, the average value of the intensity indicated by the night vision noise data has not reached the threshold value A1. Moreover, the graph in FIG. 13(b) shows that at the current date and time d1, the standard deviation of the intensity indicated by the night vision noise data has reached the threshold value B1. Therefore, based on these data, the deterioration degree determination unit 1233 determines that the sensor corresponding to these data or the amplifier connected to the sensor requires replacement, and estimates that the part to be replaced is the sensor.

The deterioration level determination unit 1233 stores data indicating the results of the determination and estimation performed as described above in the storage unit 1231. FIG. 14 is a diagram illustrating the configuration of a table (hereinafter referred to as the "deterioration diagnosis result table") for storing data indicating the results of the determination and estimation performed by the deterioration level determination unit 1233. The deterioration diagnosis result table has a "device ID" column, a "right long wavelength" column, a "right short wavelength" column, a "left long wavelength" column, and a "left short wavelength" column. The "device ID" column stores identification information of the flame detector 11. The "right long wavelength" column, the "right short wavelength" column, the "left long wavelength" column, and the "left short wavelength" column correspond to the sensors 111R, 112R, 111L, and 112L, respectively, and stores data for these sensors in any of the following formats (a) to (c).

(a) "Normal": This indicates that the part does not currently require replacement, and will not require replacement within a predetermined number of days D1 from now.
(b) “Needs replacement (##)”: This indicates that a part currently needs to be replaced, and that it is estimated that the part indicated by “##” (either the sensor or the amplifier, or both) needs to be replaced.
(c) “Replacement required soon (##) (XX month XX day)”: This indicates that it is estimated that a part will need replacing around XX month XX day, and in that case, it is estimated that the part indicated in “##” (either the sensor or the amplifier, or both) will need replacing.

Returning to the explanation of the functional configuration of the disaster prevention receiving panel 12 (Figure 10), the transmission unit 1234 is realized by the communication interface 1024 that operates under the control of the processor 1021. The transmission unit 1234 transmits the night vision noise table and the degradation diagnosis result table to the server device 13. In addition, the transmission unit 1234 transmits data indicating the value in the "average value" column of the most recent record of the night vision noise table (excluding records in which data indicating that the data is abnormal is stored in the "data abnormality" column) to the flame detector 11, for example, periodically, as steady-state correction constant data.

The display control unit 1235 is realized by the processor 1021. The display control unit 1235 performs control to display various images on the display 121. For example, when a flame detection signal is received from any of the flame detectors 11, the display control unit 1235 generates image data representing the characters "Flame Detection Area ##" and causes the display 121 to display the image represented by the image data. Here, "Area ##" is identification information of the monitoring area A corresponding to the right flame detector or left flame detector of the flame detector 11 that detected the flame.

The operation reception unit 1236 is realized by the input/output interface 1023 that operates under the control of the processor 1021. The operation reception unit 1236 receives operations performed by a user, such as a maintenance worker, on the operation unit 122. Note that the operations performed by the user on the disaster prevention receiving panel 12 using the operation unit 122 include, for example, an operation to instruct the start of operation of a fire extinguishing device controlled by the disaster prevention receiving panel 12 when a flame is detected.

The above is a description of the disaster prevention receiving panel 12. The server device 13 (see FIG. 1) is a general server device equipped with a web server function, so a description of its hardware configuration and functional configuration will be omitted.

The terminal device 14 (see FIG. 1) is a terminal device used by maintenance personnel. Because the terminal device 14 is a general terminal device equipped with a web browser function, a description of its hardware configuration and functional configuration will be omitted.

The server device 13 receives the night vision noise table and the degradation diagnosis result table from the disaster prevention receiving panel 12 and stores the received data. In addition, in response to a request from the terminal device 14, the server device 13 generates display instruction data (e.g., HTML data) that instructs the display of a screen such as that shown in FIG. 15 (hereinafter referred to as the "degradation diagnosis screen") and transmits it to the terminal device 14. The terminal device 14 displays the degradation diagnosis screen in accordance with the display instruction data transmitted from the server device 13.

The degradation diagnosis screen includes a table that displays information about flame detectors 11 that currently require part replacement, and a table that displays information about flame detectors 11 that are estimated to require part replacement in the near future. Maintenance personnel can easily find out which flame detectors 11 require maintenance work by looking at the degradation diagnosis screen.

Furthermore, when the maintenance worker touches or clicks on any row in the table on the degradation diagnosis screen, the terminal device 14 sends a request including the identification information of the sensor corresponding to that row to the server device 13. In response to the request from the terminal device 14, the server device 13 generates display instruction data instructing the display of a screen including a graph related to the sensor identified by the identification information included in the request (hereinafter referred to as the "graph display screen") and sends it to the terminal device 14. The graph included in the graph display screen is a graph such as that shown in FIG. 12 or FIG. 13. The terminal device 14 displays the graph display screen in accordance with the display instruction data sent from the server device 13. The maintenance worker can check the degradation state of the flame detector 11 for which part replacement is currently or will be required in the near future by looking at the graph display screen.

[Modification]
The above-described embodiment is a specific example of the present invention, and various modifications are possible within the scope of the technical concept of the present invention. Examples of such modifications are shown below. Note that two or more of the modifications shown below may be combined as appropriate.

(1) The shielding period determination unit 1164 of the flame detector 11 included in the flame detection system 1 described above determines the shielding period based on the measurement results of the sensor 111 or the sensor 112. The method by which the shielding period determination unit 1164 determines the shielding period is not limited to this. For example, the flame detector 11 may include a shielding member detection unit that detects that a shielding member that blocks light traveling toward the sensor from the outside has been attached to the device, and the shielding period determination unit 1164 may determine the shielding period based on the detection results by the shielding member detection unit.

Figure 16 is a diagram showing a schematic diagram of the hardware configuration of the flame detector 21 according to this modified example. In addition to the components of the flame detector 11 (see Figure 2) according to the embodiment described above, the flame detector 21 includes a sensor 117 (an example of a shielding member detection unit) connected to the computer 101. The sensor 117 is a contact sensor, and when the shielding device S is pressed against the flame detector 21, it detects the contact of the shielding device S and outputs a contact detection signal.

Figure 17 is a diagram showing a schematic functional configuration of the flame detector 21. That is, the processor 1011 of the computer 101 included in the flame detector 21 executes processing according to the program of this modified example, thereby realizing the flame detector 21 equipped with a determination device indicated by reference numeral 116 in Figure 17. The acquisition unit 1162 of the determination device 116 included in the flame detector 21 acquires the contact detection signal output from the sensor 117.

When the acquisition unit 1162 acquires a contact detection signal continuously for a predetermined period of time (e.g., 25 seconds or more and 35 seconds or less), the occlusion period determination unit 1164 of the determination device 116 provided in the flame detector 21 determines the period during which the contact detection signal was acquired, excluding a predetermined period of time immediately after the start (e.g., 3 seconds) and a predetermined period of time immediately before the end (e.g., 3 seconds), as the occlusion period. In this way, part of the period during which the contact detection signal was acquired is excluded in order to exclude from the occlusion period the period during which the window W may not be securely shielded by the shielding device S.

The flame detector 21 also extracts data on the occlusion period from the measurement value log table as night vision noise data and outputs it to the disaster prevention receiving panel 12.

The type of sensor 117 provided in the flame detector 21 is not limited to a contact sensor. For example, a magnetic sensor may be used as the sensor 117. In this case, the shielding device S has a magnet that is arranged in a position facing the sensor 117 when pressed against the flame detector 21 to shield the window W. When the shielding device S is pressed against the flame detector 21, the sensor 117 detects the magnetic force emitted by the magnet provided in the shielding device S and outputs a contact detection signal.

A proximity sensor (NFC tag reader) that detects electromagnetic waves conforming to a short-range wireless communication standard may also be employed as the sensor 117. In this case, the shielding device S is equipped with an NFC tag that is positioned opposite the sensor 117 while pressed against the flame detector 21 to shield the window W. When the shielding device S is pressed against the flame detector 21, the sensor 117 detects the electromagnetic waves emitted by the NFC tag equipped in the shielding device S and outputs a contact detection signal.

Furthermore, the flame detector 21 may be provided with an operator (e.g., a switch for switching between ON and OFF) that is operated by a maintenance person, and the sensor 117 may detect that the operator has been operated by the maintenance person (e.g., the switch has been switched ON or OFF). In this case, the shielding period determination unit 1164 determines the shielding period based on the timing at which the sensor 117 detects the maintenance person's operation of the operator.

(2) The flame detector 11 provided in the above-described flame detection system 1 is a dual-wavelength flame detector, but the number of wavelength bands used by the flame detector provided in the flame detection system 1 to detect a flame may be three or more.

(3) A part of the processing that is to be performed by the disaster prevention receiving panel 12 in the above-described flame detection system 1 may be performed by the flame detector 11, the server device 13, or the terminal device 14. For example, the flame detector 11 may be equipped with a deterioration degree determination unit 1233. Also, a part of the processing that is to be performed by the flame detector 11 in the above-described flame detection system 1 may be performed by the disaster prevention receiving panel 12, the server device 13, or the terminal device 14.

(4) Although the flame detector 11 provided in the flame detection system 1 described above is configured to monitor the space within the tunnel TN, the area monitored by the flame detection system 1 is not limited to the inside of the tunnel. For example, the flame detector 11 may monitor a space within a factory where there is a risk of a flame occurring.

(5) The flame detector 11 of the flame detection system 1 described above includes a right flame detector and a left flame detector, but the flame detector 11 may be a monocular flame detector that monitors only one area.

(6) In the above-described flame detection system 1, the flame detector 11 transmits night vision noise data to the disaster prevention receiving panel 12 without waiting for a request from the disaster prevention receiving panel 12, but the flame detector 11 may transmit night vision noise data to the disaster prevention receiving panel 12 in response to a request from the disaster prevention receiving panel 12.

(7) In the above-mentioned flame detection system 1, the method of determining the deterioration level of the flame detector 11 described using the graphs in FIG. 12 and FIG. 13 is one example, and various other methods may be adopted. For example, instead of the standard deviation, variance, coefficient of variation, difference between the maximum and minimum amplitude values, etc. may be used as an index indicating the variation in the amplitude values contained in the night vision noise data. In addition, the deterioration level may be determined and the parts to be replaced may be estimated based on the shape of the graphs as exemplified in FIG. 12 and FIG. 13. For example, a learning model may be generated by machine learning using a large amount of teacher data in which the type of part replaced in past maintenance work and the deterioration level of the part are set as objective variables, and night vision noise data immediately before replacement corresponding to the part is set as explanatory variables, and night vision noise data output from the flame detector 11 in operation may be input into the learning model, and the learning model may output the type of part to be replaced and the deterioration level of the part.

(8) In the flame detection system 1 described above, the degree of deterioration determined by the deterioration degree determination unit 1233 is one of three levels: (a) parts currently need replacing, (b) parts will need replacing in the near future, and (c) normal. The deterioration degree determination unit 1233 may determine the degree of deterioration expressed in a different format. For example, the ratio of the average value of the amplitude values included in the night vision noise data to the threshold value A1, or the ratio of the standard deviation of the amplitude values included in the night vision noise data to the threshold value B1 may be used as the deterioration degree of the flame detector 11.

(9) In the above-described flame detection system 1, the components of the flame detector 11 that may deteriorate are the sensor and the amplifier, but the components that may deteriorate are not limited to these. For example, deterioration of wiring, contacts, etc. may be suspected.

1...flame detection system, 11...flame detector, 12...disaster prevention receiving panel, 13...server device, 14...terminal device, 21...flame detector, 101...computer, 102...computer, 111...sensor, 112...sensor, 113...amplifier, 114...amplifier, 115...thermometer, 116...determination device, 117...sensor, 121...display, 122...operation unit, 123...deterioration degree determination device, 1011...processor, 1012...memory, 1013...input/output interface , 1014...communication interface, 1021...processor, 1022...memory, 1023...input/output interface, 1024...communication interface, 1161...storage unit, 1162...acquisition unit, 1163...correction unit, 1164...shielding period determination unit, 1165...flame detection unit, 1166...transmission/reception unit, 1167...timekeeping unit, 1231...storage unit, 1232...acquisition unit, 1233...deterioration level determination unit, 1234...transmission unit, 1235...display control unit, 1236...operation reception unit.

Claims (7)

an acquisition unit that continuously acquires data from the flame detector, the data being indicative of the intensity of light measured by the sensor during a period in which light from the outside world toward the sensor is blocked, as data indicative of noise;
a storage unit that stores data indicating the noise acquired by the acquisition unit;
and a deterioration degree determination unit that determines the deterioration degree of the flame detector using a comparison result between a predetermined threshold value and a noise amplitude value calculated from the data stored in the memory unit, or using a ratio of an average value of the amplitude values included in the data stored in the memory unit to a predetermined threshold value . an acquisition unit that continuously acquires data from the flame detector, the data being indicative of the intensity of light measured by the sensor during a period in which light from the outside world toward the sensor is blocked, as data indicative of noise;
a storage unit that stores data indicating the noise acquired by the acquisition unit;
and a deterioration level determination unit that determines a deterioration level of the flame detector based on an index value of variation in noise amplitude values calculated from the data stored in the memory unit. an acquisition unit that continuously acquires data from the flame detector, the data being indicative of the intensity of light measured by the sensor during a period in which light from the outside world toward the sensor is blocked, as data indicative of noise;
a storage unit that stores data indicating the noise acquired by the acquisition unit;
and a deterioration degree determination unit that predicts a future trend in the noise amplitude value based on a trend in an average value of the noise amplitude value indicated by the data stored in the memory unit, estimates a time when the predicted future noise amplitude value will reach a predetermined threshold, and determines a deterioration degree of the flame detector based on the estimated time. an acquisition unit that continuously acquires data from the flame detector, the data being indicative of the intensity of light measured by the sensor during a period in which light from the outside world toward the sensor is blocked, as data indicative of noise;
a storage unit that stores data indicating the noise acquired by the acquisition unit;
and a deterioration degree determination unit that predicts a future transition of the index value of the variation of the noise amplitude values based on a change over time of the index value of the variation of the noise amplitude values indicated by the data stored in the memory unit, estimates a time when the predicted index value of the variation of the noise amplitude values will reach a predetermined threshold, and determines a deterioration degree of the flame detector based on the estimated time. A flame detector that outputs data indicating noise acquired by the deterioration degree determining device according to any one of claims 1 to 4,
a sensor for measuring the intensity of light;
A flame detection unit that detects a flame based on the intensity of light measured by the sensor;
a blocking period determination unit that determines a period during which light traveling from the outside world toward the sensor is blocked based on a measurement result of the sensor;
an output unit that outputs data indicating the intensity of light measured by the sensor during the period specified by the occlusion period specifying unit as data indicating noise. A flame detector that outputs data indicating noise acquired by the deterioration degree determining device according to any one of claims 1 to 4,
a sensor for measuring the intensity of light;
A flame detection unit that detects a flame based on the intensity of light measured by the sensor;
a shielding member detection unit that detects that a shielding member that shields light from the outside toward the sensor is attached to the device;
a blocking period determination unit that determines a period during which light traveling from the outside to the sensor is blocked based on a detection result by the blocking member detection unit;
an output unit that outputs data indicating the intensity of light measured by the sensor during the period specified by the occlusion period specifying unit as data indicating noise. A flame detector that outputs data indicating noise acquired by the deterioration degree determining device according to any one of claims 1 to 4,
a sensor for measuring the intensity of light;
A flame detection unit that detects a flame based on the intensity of light measured by the sensor;
a shielding member detection unit that detects that a shielding member that shields light from the outside toward the sensor is attached to the device;
a blocking period determination unit that determines a period during which light traveling from the outside world toward the sensor is blocked;
A thermometer for measuring temperature;
a correction unit that corrects the light intensity measured by the sensor during the period specified by the blocking period specifying unit based on the temperature measured by the thermometer;
and an output unit that outputs data indicating the light intensity after the correction unit has been corrected as data indicating noise.

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