JP6186811B2 - Determination method, determination program, and system - Google Patents

Description

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

  Conventionally, various sensors are attached to equipment such as generators, air conditioners, and refrigerators in buildings, and whether or not the equipment operates normally based on signals indicating analog values output from the attached sensors. There is a method of judging. For example, devices such as the above-described generator, air conditioner, and refrigerator are large in size and are not easily replaced. For this reason, there is a case where the device that is operating normally even when the replacement time such as the operating time reaches a predetermined time (for example, 10,000 hours) comes to be used. However, there is a high possibility that an abnormality will occur in a device whose replacement time has come, compared to a device whose operating time has not reached the predetermined time. For this reason, for example, a vibration sensor that detects the magnitude of vibration is attached to a device that has been replaced, and the server connected to the vibration sensor operates normally based on the signal output from the vibration sensor. It is determined whether or not to do. For example, since the vibration of the device in which an abnormality has occurred becomes large, the server may change the signal output from the vibration sensor to the device to which the vibration sensor is attached when the magnitude of the vibration is greater than or equal to a predetermined value. It is determined that an abnormality has occurred. Here, the predetermined sensor is attached to the predetermined device in accordance with the correspondence between the predetermined device and the sensor.

JP-A-7-8672 JP-A-9-265318

  However, in the above-described method, a predetermined sensor should be attached to a predetermined device according to a predetermined relationship between the device and the sensor, but there is an error that another sensor is attached to the predetermined device. May occur. For example, when the number of devices and sensors ranges from several hundred to several thousand, many sensors are attached to many devices, and thus there is a high possibility that errors as described above will occur.

  Here, when the analog value output from the vibration sensor changes in synchronization with the operation information indicating the change in the power on and off of the device when the device is turned on and off, the device and the vibration sensor This relationship satisfies a predetermined correspondence relationship. Therefore, in order to determine whether or not the device and the vibration sensor satisfy a predetermined correspondence relationship, operation information indicating a change in power on and off of the device and a change in an analog value output from the vibration sensor It is conceivable to determine whether or not and are synchronized. However, device operation information is digital data indicated by ON and OFF, and data output from the vibration sensor is analog data. For this reason, there is a problem that it is difficult to determine whether or not the operation information indicating changes in the power on and off of the device is synchronized with the data output from the vibration sensor. Such problems are not limited to vibration sensors, but various sensors that output analog values such as a sound sensor that detects the sound of a device, a current sensor that detects a current flowing through the device, and a light sensor that detects light emitted from the device. The same occurs when the is attached to the device.

  In one aspect, an object of the present invention is to accurately determine whether operation information of an apparatus is synchronized with an output of a sensor.

In one embodiment, the determination method includes a process in which the server acquires operation information of a plurality of devices connected to the server and an output of a sensor that detects information on at least one of the plurality of devices. Run. The determination method executes processing for determining a target device to be monitored by the sensor according to the magnitude of correlation between the acquired operation information of the plurality of devices and the acquired sensor output.

  It is possible to accurately determine whether the operation information of the apparatus is synchronized with the output of the sensor.

FIG. 1 is a diagram illustrating an example of a configuration of a system according to the embodiment. FIG. 2 is a diagram illustrating an example of a functional configuration of the device according to the embodiment. FIG. 3A is a diagram for explaining an example of a process executed by the device according to the embodiment. FIG. 3B is a diagram for explaining an example of processing executed by the device according to the embodiment. FIG. 4 is a diagram illustrating an example of a functional configuration of the sensor according to the embodiment. FIG. 5 is a diagram for explaining an example of processing executed by the sensor according to the embodiment. FIG. 6 is a diagram illustrating an example of a functional configuration of the server according to the embodiment. FIG. 7 is a diagram illustrating an example of the data structure of the detection result table. FIG. 8 is a diagram illustrating an example of the data structure of the operation information table. FIG. 9 is a diagram illustrating an example of the data structure of the name table. FIG. 10 is a diagram illustrating an example of a reception screen. FIG. 11 is a diagram for explaining an example of a correlation value calculation result. FIG. 12 is a diagram for explaining an example of a correlation value calculation result. FIG. 13 is a diagram for explaining an example of a correlation value calculation result. FIG. 14 is a diagram for explaining an example of a correlation value calculation result. FIG. 15 is a diagram for explaining an example of a correlation value calculation result. FIG. 16 is a diagram for explaining an example of a correlation value calculation result. FIG. 17 is a diagram for explaining an example of a correlation value calculation result. FIG. 18 is a diagram for explaining an example of a correlation value calculation result. FIG. 19 is a diagram illustrating an example of a message that confirms the normality of the sensor displayed on the terminal together with the correlation value C. FIG. 20 is a diagram illustrating an example of a message indicating that the normality of the sensor displayed on the terminal is denied together with the correlation value C. FIG. 21 is a diagram illustrating an example of a message indicating that there is a possibility that a device with the name that has been acquired is monitored by a sensor with a name that is input to the reception screen by the administrator. FIG. 22 is a flowchart illustrating the procedure of the determination process according to the embodiment. FIG. 23 is a diagram illustrating a computer that executes a determination program.

  Embodiments of a sensor normality determination method, a normality determination program, and a system disclosed in the present application will be described below in detail with reference to the drawings. The embodiments do not limit the disclosed technology.

[System configuration]
A sensor normality determination method and system according to an embodiment will be described. FIG. 1 is a diagram illustrating an example of a configuration of a system according to the embodiment. As illustrated in FIG. 1, the system 1 includes a plurality of devices 2 ₁ to 2 _N , sensors 3 _{1 to} 3 _N , a communication device 4, a server 5, and a terminal 6.

The plurality of devices 2 _{1 to} 2 _N are devices such as a generator, an air conditioner, and a refrigerator installed in a building, for example, and the replacement time comes such that the operation time reaches a predetermined time (for example, 10,000 hours). However, it is a device that has been used continuously. The number of the devices 2 ₁ to 2 _N is, for example, 100 (N = 100). Hereinafter, when the devices 2 ₁ to 2 _N are described without being distinguished from each other, they may be simply expressed as “device 2”. The device 2 is connected to the communication device 4.

  FIG. 2 is a diagram illustrating an example of a functional configuration of the device according to the embodiment. As shown in FIG. 2, the device 2 includes a detection unit 2a and a transmission unit 2b.

  The detection unit 2a detects the operating state of the apparatus at a predetermined time interval, for example, an hour interval. For example, when the power supply is turned on and operating, the detection unit 2a detects that it is operating (power is on). Moreover, the detection part 2a detects that it is stopping (power supply is OFF), when the power supply is turned OFF and it is stopping.

  The transmission unit 2b performs the following process every time the operating state is detected by the detection unit 2a. That is, the transmission unit 2b includes, in the operation information indicating the operation state detected by the detection unit 2a, the date and time when the operation state is detected by the detection unit 2a and the ID (Identification) for identifying the device 2. The operation information including the date and ID is transmitted to the communication device 4. 3A and 3B are diagrams for explaining an example of processing executed by the device according to the embodiment. For example, if it is detected by the detection unit 2a that “November 15, 2012, 19:00:00” is detected, the transmission unit 2b included in the device 2 whose ID is “mm” Perform the following process. That is, as illustrated in FIG. 3A, the transmission unit 2b registers the ID “mm” in the “device ID” item of the operation information 10, and sets “1” indicating that the device is in operation to the “operation state” item. "November 15, 2012 19:00:00" is registered in the "Date" item. As described above, the transmission unit 2b generates the operation information 10 in which various contents are registered. Then, the transmission unit 2 b transmits the generated operation information 10 to the communication device 4.

  In addition, when it is detected by the detection unit 2a that it is stopped at “November 16, 2012 18:00:00”, the transmission unit 2b included in the device 2 whose ID is “mm” Perform the following process. That is, as illustrated in FIG. 3B, the transmission unit 2b registers the ID “mm” in the “device ID” item of the operation information 10, and sets “0” indicating that the operation is stopped to the “operation state” item. And register “November 16, 2012 18:00:00” in the “Date and time” item. As described above, the transmission unit 2b generates the operation information 10 in which various contents are registered. Then, the transmission unit 2 b transmits the generated operation information 10 to the communication device 4.

Returning to the description of FIG. 1, each of the plurality of sensors 3 _{1 to} 3 _N is attached to each of the devices 2 ₁ to 2 _N by an administrator of the system 1 or the like according to a predetermined relationship between the devices and the sensors. It is done. Hereinafter, when the sensors 3 _{1 to} 3 _N are described without being distinguished from each other, they may be simply expressed as “sensor 3”. In the present embodiment, the predetermined sensor 3 should be attached to the predetermined device 2 according to the correspondence between the predetermined device and the sensor due to a mistake of the administrator or the like. There may be an event that the sensor 3 is attached.

  The sensor 3 is connected to the communication device 4. Below, when the sensor 3 is attached to the apparatus 2, the case where it is a vibration sensor which detects the magnitude | size of the vibration of the apparatus 2 and outputs the magnitude | size of the detected vibration with an analog value is demonstrated.

  FIG. 4 is a diagram illustrating an example of a functional configuration of the sensor according to the embodiment. As shown in FIG. 4, the sensor 3 includes a detection unit 3a and an output unit 3b.

  The detection unit 3a detects the magnitude of vibration of the attached device 2 at a predetermined time interval, for example, one hour interval.

  The output unit 3b performs the following process every time the magnitude of vibration is detected by the detection unit 3a. That is, the output unit 3b is configured to distinguish the sensor 3 from the date and time when the magnitude of vibration is detected by the detection unit 3a to an analog value that increases as the magnitude of vibration detected by the detection unit 3a increases. Data indicating the detection result is generated by adding the ID. And the output part 3b outputs the produced | generated data to the communication apparatus 4, whenever the data which show a detection result are produced | generated.

  FIG. 5 is a diagram for explaining an example of processing executed by the sensor according to the embodiment. For example, when the magnitude of vibration corresponding to the analog value “50” is detected by the detection unit 3b as “November 15, 2012 19:00:00”, the sensor 3 whose ID is “n” The output unit 3b included in performs the following processing. That is, as shown in FIG. 5, the output unit 3b registers ID “n” in the “sensor ID” item of the data 11 indicating the detection result, and registers the analog value “50” in the “analog value” item. Then, the date and time “November 15, 2012 19:00:00” is registered in the item “Date and time”. As described above, the output unit 3b generates the data 11. Then, the output unit 3 b outputs the generated data 11 to the communication device 4.

  Returning to the description of FIG. 1, the communication device 4 is connected to the device 2, the sensor 3, and the server 5. The communication device 4 transmits the received operation information 10 to the server 5 every time it receives the operation information 10 transmitted from the device 2. The communication device 4 transmits the received data 11 to the server 5 every time it receives the data 11 output from the sensor 3.

  The server 5 performs the following process using the operation information 10 transmitted from the device 2 and the data 11 output from the sensor 3 via the communication device 4. For example, the server 5 includes the sensor 3 and the device 2 to which the sensor 3 is attached based on the correlation between the change in the operation state of the device 2 indicated by the operation information 10 and the change in the analog value indicated by the data 11. It is determined whether or not the relationship is based on the above-described corresponding relationship. In this way, the server 5 determines the normality of the sensor 3.

  FIG. 6 is a diagram illustrating an example of a functional configuration of the server according to the embodiment. As illustrated in the example of FIG. 6, the server 5 includes a communication unit 12, a storage unit 13, and a control unit 14.

  The communication unit 12 performs communication between the server 5 and the communication device 4. The communication unit 12 performs communication between the server 5 and the terminal 6. For example, when receiving the operation information 10 transmitted from the communication device 4, the communication unit 12 transmits the received operation information 10 to the control unit 14. When the communication unit 12 receives the data 11 transmitted from the communication device 4, the communication unit 12 transmits the received data 11 to the control unit 14. In addition, when the communication unit 12 receives an instruction for executing a determination process described later, the communication unit 12 transmits the received instruction to the control unit 14.

The storage unit 13 stores various information. For example, the storage unit 13 stores N detection result tables 13a _{1 to} 13a _N , N operation information tables 13b _{1 to} 13b _N , and a name table 13c.

Each of the detection result table _13a 1 _{~13a N,} each detection result of the sensor ₃ 1 to 3 _N is registered by the registration unit 14a described later. That is, the detection result table _{13a p (p = 1,2, ···} N) , the sensor _{3 p} of the detection result is registered by the registration unit 14a described later. Hereinafter, when the detection result tables 13a _{1 to} 13a _N are described without being distinguished from each other, they may be simply expressed as “detection result table 13a”.

  FIG. 7 is a diagram illustrating an example of the data structure of the detection result table. As illustrated in the example of FIG. 7, the detection result table 13 a includes items of “sensor ID”, “date / time”, and “analog value”. In the “sensor ID” item, the ID of the sensor 3 in which the detection result is registered is registered in advance. In the “date and time” item, the date and time when the sensor 3 identified by the ID registered in the “sensor ID” item detects vibration is registered by the registration unit 14a described later. The “analog value” item includes an analog value indicating the magnitude of vibration detected by the sensor 3 identified by the ID registered in the “sensor ID” item at the date and time registered in the “date and time” item. Registration is performed by a registration unit 14a described later. In the example of FIG. 7, the sensor 3 whose ID is “n” has detected a vibration having a magnitude corresponding to the analog value “50” at “November 15, 2012, 19:00:00”. Show. In the example of FIG. 7, the sensor 3 whose ID is “n” detected a vibration having a magnitude corresponding to the analog value “0” at “November 15, 2012, 20:00:00”. It shows that.

Returning to the description of FIG. 6, the operation information 10 of each of the devices 2 ₁ to 2 _N is registered in the operation information tables 13 b _{1 to} 13 b _N by a registration unit 14 a described later. That is, the operation information 10 of the device 2 _p is registered in the operation information table 13b _p (p = 1, 2,... N) by the registration unit 14a described later. Hereinafter, when the operation information tables 13b _{1 to} 13b _N are described without being distinguished from each other, they may be simply expressed as “operation information table 13b”.

  FIG. 8 is a diagram illustrating an example of the data structure of the operation information table. As illustrated in the example of FIG. 8, the operation information table 13b includes items of “device ID”, “date and time”, and “operation state”. In the item “device ID”, the ID of the device 2 in which the operation information 10 is registered is registered in advance. In the “date and time” item, the date and time when the device 2 identified by the ID registered in the “device ID” item detects the operating state is registered by the registration unit 14a described later. In the item “operating state”, the digital value “0” indicating the operating state detected by the device 2 identified by the ID registered in the item “device ID” at the date and time registered in the item “date and time”. Alternatively, “1” is registered by the registration unit 14a described later. The example of FIG. 8 indicates that the device 2 having the ID “mm” has been detected to be operating at “November 15, 2012, 19:00:00”. Further, the example of FIG. 8 indicates that the device 2 having the ID “mm” has detected that it is stopped at “November 15, 2012, 20:00:00”.

  Returning to the description of FIG. 6, the name table 13 c stores the name of the sensor 3 used by the administrator of the system 1 and the ID of the sensor 3 in association with each other. In addition, the name table 13c stores the name of the device 2 used by the administrator of the system 1 and the ID of the device 2 in association with each other. FIG. 9 is a diagram illustrating an example of the data structure of the name table. As illustrated in the example of FIG. 9, the name table 13 c includes items of “sensor name”, “sensor ID”, “device name”, and “device ID”. In the “sensor name” item, the name of the sensor 3 used by the administrator of the system 1 or the like is registered in advance. In the “sensor ID” item, the ID of the sensor 3 having the name registered in the “sensor name” item is registered in advance. In the “device name” item, the name of the device 2 used by the administrator of the system 1 or the like is registered in advance. In the “device ID” item, the ID of the device having the name registered in the “device name” item is registered in advance. The example of FIG. 9 indicates that the ID of the sensor 3 whose name is “additional vibration sensor” used by the administrator of the system 1 is “n”. The example of FIG. 9 indicates that the ID of the device 2 whose name used by the administrator of the system 1 is “No. 1 generator” is “mm”.

  Returning to the description of FIG. 6, the storage unit 13 is, for example, a semiconductor memory device such as a flash memory, or a storage device such as a hard disk or an optical disk. The storage unit 13 is not limited to the above type of storage device, and may be a RAM (Random Access Memory) or a ROM (Read Only Memory).

The control unit 14 includes a registration unit 14a, an acquisition unit 14b, and a determination unit 14c. The registration unit 14a registers various information. For example, each time the operation information 10 transmitted from the communication unit 12 is received, the registration unit 14 a acquires the ID of the device 2 registered in the “device ID” item of the received operation information 10. In addition, the registration unit 14 a acquires the registration contents of the “operation state” and “date and time” items of the received operation information 10. Then, the registration unit 14a identifies the acquired device 2 with ID the operation information table 13b which is registered in the item "device ID" from the N operating information table _13b 1 13 b _N. Then, the registration unit 14a registers the content acquired from the “operating state” item of the received operating information 10 in the “operating state” item of the specified operating information table 13b. Further, the registration unit 14a registers the date and time acquired from the “date and time” item of the received operation information 10 in the “date and time” item of the specified operation information table 13b.

The registration unit 14 a acquires the ID of the sensor 3 registered in the “sensor ID” item of the received data 11 every time the data 11 transmitted from the communication unit 12 is received. In addition, the registration unit 14 a acquires the registration contents of each item of “analog value” and “date and time” of the received data 11. Then, the registration unit 14a specifies the detection result table 13a in which the acquired ID of the sensor 3 is registered in the item “sensor ID” from the N detection result tables 13a _{1 to} 13a _N. Then, the registration unit 14 a registers the content acquired from the “analog value” item of the received data 11 in the “analog value” item of the specified detection result table 13 a. Further, the registration unit 14 a registers the date and time acquired from the “date and time” item of the received data 11 in the “date and time” item of the specified detection result table 13 a.

  As described above, the registration unit 14a registers various contents in the detection result table 13a and the operation information table 13b.

The acquisition unit 14b acquires various types of information. One aspect of the acquisition unit 14b will be described. Acquiring section 14b receives an instruction to execute the determination processing of determining normality of the sensor 3, which is transmitted from the communication unit 1 2, first, from the administrator or the like of the system 1, various used in the determination process An instruction is transmitted to the terminal 6 so as to display an acceptance screen for accepting designation of information. As a result, the terminal 6 displays such a reception screen.

  FIG. 10 is a diagram illustrating an example of a reception screen. As shown in the example of FIG. 10, the reception screen 20 includes text boxes 20a to 20e and 20g to 20j and buttons 20k and 20l. In the text box 20 a, the name of the sensor 3 for determining the normality after the space for one character is inserted after the name of the target device 2 for which the normality with the sensor 3 is determined is the system 1. Entered by the administrator. Thereby, designation | designated of the apparatus 2 of the object from which the normality with the sensor 3 is determined, and designation | designated of the sensor 3 which determines normality are received. In addition, in the text boxes 20b to 20e, the date and time (first date and time) that is the starting point of the period of the operation information 10 and the data 11 used when determining the normality of the sensor 3 is input by the administrator. Thereby, designation of the first date and time of the operation information 10 and the data 11 used when determining the normality of the sensor 3 is accepted. In addition, in the text boxes 20g to 20j, the operation information 10 used when determining the normality of the sensor 3 and the date and time (the last date and time) that are the end points of the period of the data 11 are input by the administrator. Thereby, designation of the last date and time of the operation information 10 and data 11 used when determining the normality of the sensor 3 is accepted. When the button 20k is pressed by an administrator operating an operation receiving device such as a keyboard or a mouse (not shown), the terminal 6 sends the input contents of the text boxes 20a to 20e and 20g to 20j to the server 5. The reception screen 20 is closed while transmitting. Further, when the button 201 is pressed by the administrator operating the operation reception device, the terminal 6 closes the reception screen 20.

  Then, when the button 20k is pressed, the acquisition unit 14b acquires the name of the target device 2 for which the normality with the sensor 3 transmitted from the terminal 6 is determined, and the device corresponding to the acquired name 2 ID is acquired from the name table 13c. Moreover, the acquisition part 14b acquires the name of the sensor 3 which determines the normality transmitted from the terminal 6, and acquires ID of the sensor 3 corresponding to the acquired name from the name table 13c.

Then, the acquisition unit 14b specifies the operation information table 13b in which the acquired ID of the device 2 is registered in the item “device ID” from the N operation information tables 13b _{1 to} 13b _N. In addition, the acquisition unit 14b specifies the detection result table 13a in which the ID of the acquired sensor 3 is registered in the item “sensor ID” from the N detection result tables 13a _{1 to} 13a _N.

  Then, the acquisition unit 14b acquires the first date and the last date and time of the period of the operation information 10 and the data 11 used when determining the normality of the sensor 3 transmitted from the terminal 6. Then, the acquiring unit 14b acquires information indicating the operating state registered in the item “operating state” from the first date to the last date, from the registered contents of the specified operating information table 13b. The acquiring unit 14b acquires the analog value registered in the “analog value” item from the first date and time to the last date and time, from the registered contents of the specified detection result table 13a.

ｎは、取得部１４ｂにより取得された稼働状態を示す情報の個数であり、取得部１４ｂにより取得されたアナログ値の個数である。 The determination unit 14c performs various determinations. One aspect of the determination unit 14c will be described. For example, the determination unit 14c performs the following process when information indicating an operating state and an analog value are acquired by the acquisition unit 14b. That is, the determination unit 14c calculates a correlation value between information indicating the operating state acquired by the acquisition unit 14b and an analog value. For example, the determination unit 14c calculates the correlation value C using the following equation.

n is the number of information indicating the operating state acquired by the acquisition unit 14b, and is the number of analog values acquired by the acquisition unit 14b.

  Here, an example of the calculation result of the correlation value will be described with reference to FIGS. FIGS. 11-18 is a figure for demonstrating an example of the calculation result of a correlation value. In the examples of FIGS. 11 to 15, 17, and 18, information indicating 24 operating states from 1 o'clock to 24 o'clock on one day and 24 analog values (sensor values) are acquired by the acquiring unit 14 b. The case where it was done is shown. The information indicating the operation state illustrated in FIG. 11 indicates that the operation is performed from 8:00 to 17:00, and the operation is stopped from 1:00 to 7:00 and from 18:00 to 24:00. Further, the analog value shown in FIG. 11 is “50” when it is in operation, and “0” when it is stopped. Thus, when the device 2 is in operation, the sensor 3 outputs a constant value, and when the device 2 is stopped, the value output by the sensor 3 is “0”. The determination unit 14c calculates a correlation value “1”. This value indicates that the degree of correlation is extremely strong.

  The example of FIG. 12 shows an analog value output from a sensor that is slightly more susceptible to noise than the sensor that outputs the analog value shown in the example of FIG. When the information indicating the operation state illustrated in the example of FIG. 12 and the analog value are used, the determination unit 14c calculates a correlation value “0.995”. This value indicates that the degree of correlation is strong.

  The example of FIG. 13 shows a case where the sensor 3 that outputs the analog value shown in the example of FIG. 11 is attached to a device 2 different from the device 2 that has detected the operating state shown in the example of FIG. When the information indicating the operation state illustrated in the example of FIG. 13 and the analog value are used, the determination unit 14c calculates a correlation value “0.3143”. This value indicates that the degree of correlation is weak.

  The example of FIG. 14 shows an analog value (small noise) output from a sensor that is slightly more susceptible to noise than the sensor that outputs the analog value shown in the example of FIG. The example of FIG. 14 shows an analog value (medium noise) output from a sensor that is more susceptible to noise than the sensor that outputs the analog value shown in the example of FIG. Further, the example of FIG. 14 shows an analog value (large noise) output from a sensor that is larger and more susceptible to noise than the sensor that outputs the analog value shown in the example of FIG. In the example of FIG. 14, the determination unit 14 c calculates a correlation value “0.960” between the information indicating the operating state and the analog value (small noise). In the example of FIG. 14, the determination unit 14 c calculates a correlation value “0.924” between the information indicating the operating state and the analog value (in noise). Further, in the example of FIG. 14, the determination unit 14 c calculates a correlation value “0.901” between the information indicating the operating state and the analog value (large noise). Therefore, in the example of FIG. 14, even if the noise is large, the correlation value is not less than 0.9, and the degree of correlation is strong.

  In the example of FIG. 15, the sensor 3 that is more susceptible to noise than the sensor 3 that outputs the analog value illustrated in the example of FIG. 11 is replaced with a device 2 that is different from the device 2 that has detected the operating state illustrated in the example of FIG. 11. Shown when installed. The example of FIG. 15 shows an analog value (small noise) output from a sensor that is slightly more susceptible to noise than the sensor that outputs the analog value shown in the example of FIG. Further, the example of FIG. 15 shows an analog value (in noise) output from a sensor that is more susceptible to noise than the sensor that outputs the analog value shown in the example of FIG. The example of FIG. 15 shows an analog value (large noise) output from a sensor that is larger and more susceptible to noise than the sensor that outputs the analog value shown in the example of FIG. In the example of FIG. 15, the determination unit 14c calculates a correlation value “0.314” between the information indicating the operating state and the analog value (small noise). In the example of FIG. 15, the determination unit 14c calculates a correlation value “0.284” between the information indicating the operating state and the analog value (in noise). In the example of FIG. 15, the determination unit 14 c calculates a correlation value “0.265” between the information indicating the operating state and the analog value (large noise). Therefore, in the example of FIG. 15, when the relationship between the device 2 and the sensor 3 does not satisfy a predetermined correspondence, the correlation value may exceed a predetermined value, for example, 0.9 even if the noise increases. There is nothing wrong, and the degree of correlation is weak.

  Next, referring to FIG. 16, each of the three analog value patterns in which the time axis of the analog value (sensor value) shown in the example of FIG. 13 is different, and information indicating the operating state shown in the example of FIG. The case of calculating the correlation value will be described. In the case of the example of FIG. 16, the correlation value between the top analog value pattern and the information indicating the operating state is “0.200”. In the case of the example of FIG. 16, the correlation value between the second analog value pattern and the information indicating the operating state is “0.207”. In the case of the example in FIG. 16, the correlation value between the third analog value pattern and the information indicating the operating state is “0.279”. In the case of the example of FIG. 16, it can be seen that any analog value pattern has a weak degree of correlation with the information indicating the operating state.

  The information indicating the operating state shown in FIG. 17 is in operation from 3 o'clock to 4 o'clock, 8 o'clock to 17 o'clock, 22 o'clock to 23 o'clock, from 1 o'clock to 2 o'clock, 5 o'clock to 7 o'clock and 18 o'clock It shows that it is stopping at 21:00 and 24:00. Further, the example of FIG. 17 shows an analog value (small noise) output from a sensor that is slightly more susceptible to noise than the sensor that outputs the analog value shown in the example of FIG. Further, the example of FIG. 17 shows an analog value (in noise) output from a sensor that is more susceptible to noise than the sensor that outputs the analog value shown in the example of FIG. The example of FIG. 17 shows an analog value (large noise) output from a sensor that is larger and more susceptible to noise than the sensor that outputs the analog value shown in the example of FIG. In the example of FIG. 17, the determination unit 14c calculates a correlation value “0.961” between the information indicating the operating state and the analog value (low noise). In the example of FIG. 17, the determination unit 14 c calculates the correlation value “0.913” between the information indicating the operating state and the analog value (in noise). In the example of FIG. 17, the determination unit 14c calculates a correlation value “0.908” between the information indicating the operating state and the analog value (high noise). Therefore, in the example of FIG. 14, even if the noise is large, it does not fall below the correlation value 0.9, and in either case, the degree of correlation is strong.

  The example of FIG. 18 shows a pattern of analog values when the sensor 3 does not move at all (when it is out of order), a pattern of analog values output from a sensor that does not move at all but is slightly affected by noise, This shows the pattern of analog values (medium noise) output from a sensor that does not move but is susceptible to moderate noise. In the example of FIG. 18, the determination unit 14c cannot calculate the degree of correlation between the information indicating the operating state and the analog value pattern when the sensor does not move at all (when the sensor is malfunctioning). In this case, the value of the denominator of the above formula (1) is “0”. In addition, in the example of FIG. 18, the determination unit 14 c calculates the correlation degree “0.000” between the information indicating the operating state and the analog value pattern output from the sensor that does not move at all but is slightly affected by noise. calculate. In the example of FIG. 18, the degree of correlation “0.154” between the information indicating the operating state and the analog value pattern output from the sensor that does not move at all but is susceptible to moderate noise is calculated. Accordingly, in the example of FIG. 18, when the sensor 3 does not move at all, the correlation value does not exceed a predetermined value, for example, 0.9 simply because the sensor 3 is affected by noise.

  Returning to the description of FIG. 6, when the determination unit 14 c calculates the correlation value C using Expression (1), the determination unit 14 c compares the correlation value C with a predetermined value, and determines whether the correlation value C is equal to or greater than the predetermined value. Determine. Here, an example of the predetermined value compared with the correlation value C is 0.9, for example.

  When the correlation value C is equal to or greater than the predetermined value, the determination unit 14c transmits an instruction to display a message to affirm the normality of the sensor 3 to the terminal 6 together with the correlation value C. As a result, the terminal 6 displays a message to affirm the normality of the sensor 3 together with the correlation value C. FIG. 19 is a diagram illustrating an example of a message that confirms the normality of the sensor displayed on the terminal together with the correlation value C. In the example of FIG. 19, the sensor 3 with the name “additional vibration sensor” attached to the device 2 with the name “No. 1 generator” is replaced with the device 2 with the name “No. 1 generator”. This shows a case where the message “Normally monitoring” is displayed on the terminal 6 indicating that the monitoring is normal. The example of FIG. 19 shows a case where the correlation value “0.98” is displayed on the terminal 6. When the button labeled “OK” shown in the example of FIG. 19 is pressed, the screen 30 shown in the example of FIG. 19 is closed.

  On the other hand, when the correlation value C is not equal to or greater than the predetermined value, the determination unit 14 c transmits an instruction to display a message that denies the normality of the sensor 3 together with the correlation value C to the terminal 6. As a result, the terminal 6 displays a message indicating that the normality of the sensor 3 is denied together with the correlation value C. FIG. 20 is a diagram illustrating an example of a message indicating that the normality of the sensor displayed on the terminal is denied together with the correlation value C. In the example of FIG. 20, the sensor 3 having the name “additional vibration sensor” attached to the device 2 having the name “No. 1 generator” is replaced with the device 2 having the name “No. 1 generator”. This shows a case where the message “Normal monitoring is not possible” is displayed on the terminal 6 indicating that the monitoring is not performed normally. The example of FIG. 20 shows a case where the correlation value “0.32” is also displayed on the terminal 6. When the button labeled “OK” shown in the example of FIG. 20 is pressed, the screen 31 shown in the example of FIG. 20 is closed.

Then, when the button labeled “OK” shown in the example of FIG. 20 is pressed and the screen 31 shown in the example of FIG. 20 is closed, the determination unit 14c inputs the reception screen 20 by the administrator. It is determined whether or not there is an unselected device 2 among the devices 2 other than the named device 2. If there is an unselected device 2, one unselected device 2 is selected. Then, the determination unit 14 c identifies the operation information table 13 b registered in the item “device ID” as the ID of the selected device 2 from the N operation information tables 13 b _{1 to} 13 b _N.

  Then, the determination unit 14c determines the operation state registered in the item “operation state” in the period from the first date and time specified by the administrator to the last date and time from the registered contents of the specified operation information table 13b. Get the information shown. And the determination part 14c calculates the correlation value of the information which shows the acquired operating state, and the analog value acquired by the acquisition part 14b using said Formula (1).

Then, the determination unit 14c selects the unselected devices 2 one by one until there is no unselected device 2 among the devices 2 other than the device 2 with the name input by the administrator on the reception screen 20. Each time the determination unit 14c selects one unselected device 2, the operation information table 13b in which the ID of the selected device 2 is registered in the item “device ID” is changed to N operation information tables 13b _1. ˜13b The above-described processing specified from _N is performed. Then, the determination unit 14c determines the operation state registered in the item “operation state” in the period from the first date and time specified by the administrator to the last date and time from the registered contents of the specified operation information table 13b. The above-described processing for acquiring the information to be shown is performed. And the determination part 14c performs the process mentioned above which calculates the correlation value of the information which shows the acquired operation state, and the analog value acquired by the acquisition part 14b using said Formula (1). In this way, the determination unit 14c outputs the operation information 10 of all the devices 2 other than the device 2 with the name input by the administrator on the reception screen 20 and the sensor 3 whose name is input on the reception screen 20 by the administrator. A correlation value C with the analog value to be calculated is calculated.

  On the other hand, when there is no unselected device 2 in the devices 2 other than the device 2 having the name input by the administrator on the reception screen 20, the determination unit 14 c displays the name input by the administrator on the reception screen 20. A process for determining whether or not there is the following device 2 among the devices 2 other than the device 2 is performed. That is, the determination unit 14c determines whether there is a device 2 that has detected the operation information 10 when the value of the correlation value C is equal to or greater than a predetermined value (for example, 0.9). When there is a device 2 that has detected the operation information 10 when the value of the correlation value C is equal to or greater than a predetermined value, the determination unit 14c determines that it is present from the name table 13c using the ID of the device 2 determined to be present. The name of the device 2 is acquired. Then, the determination unit 14c transmits to the terminal 6 an instruction to display a message indicating that the device 2 with the acquired name may be monitored by the sensor 3 with the name input by the administrator on the reception screen 20. To do. FIG. 21 is a diagram illustrating an example of a message indicating that there is a possibility that a device with the name that has been acquired is monitored by a sensor with a name that is input to the reception screen by the administrator. In the example of FIG. 21, the sensor 3 whose name is “additional vibration sensor” that should be attached to the device 2 whose name is “No. 1 generator” is the device 2 whose name is “No. 2 generator”. The message “Additional vibration sensor may be monitoring the following. Candidate No. 2 generator” is displayed on the terminal 6. Further, the example of FIG. 21 shows a case where the correlation value “0.95” is also displayed on the terminal 6. When the button labeled “OK” shown in the example of FIG. 21 is pressed, the screen 32 shown in the example of FIG. 21 is closed.

  The control unit 14 is a circuit such as an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), a central processing unit (CPU), or a micro processing unit (MPU).

Returning to the description of FIG. 1 , the terminal 6 is a terminal operated by an administrator of the system 1. The terminal 6 includes a display unit (not shown) and an operation reception unit (not shown). On the display unit of the terminal 6, the above-described reception screen 20 and the above-described screens 30 to 32 are displayed, and the administrator can confirm the contents of the displayed screen. Further, when an instruction for executing a determination process for determining the normality of the sensor 3 is received from the administrator by the operation receiving unit, the terminal 6 transmits the received instruction to the server 5.

[Process flow]
Next, the process flow of the server 5 according to the present embodiment will be described. FIG. 22 is a flowchart illustrating the procedure of the determination process according to the embodiment. The determination process according to the embodiment is executed, for example, at a timing when the control unit 14 receives an instruction for executing the determination process for determining the normality of the sensor 3 transmitted from the terminal 6.

  As illustrated in FIG. 22, the acquisition unit 14 b transmits an instruction to the terminal 6 to display a reception screen 20 for receiving designation of various types of information used in the determination process from an administrator of the system 1 or the like ( S101). As a result, the terminal 6 displays such a reception screen.

  Then, the acquisition unit 14b determines whether or not the button (“OK” button) 20k is pressed (S102). If not pressed (S102; No), the acquisition unit 14b performs the process of S102 again. On the other hand, when pressed (S102; Yes), the acquisition unit 14b acquires the name of the target device 2 that is determined to be normal with the sensor 3 transmitted from the terminal 6, and corresponds to the acquired name. The ID of the device 2 to be acquired is acquired from the name table 13c. Moreover, the acquisition part 14b acquires the name of the sensor 3 which determines the normality transmitted from the terminal 6, and acquires ID of the sensor 3 corresponding to the acquired name from the name table 13c (S103).

Then, the acquisition unit 14b specifies the operation information table 13b in which the acquired ID of the device 2 is registered in the item “device ID” from the N operation information tables 13b _{1 to} 13b _N. Further, the acquisition unit 14b specifies the detection result table 13a registered in the item of “sensor ID” whose ID of the acquired sensor 3 is among the _N detection result tables 13a _{1 to} 13a _N (S104).

  Then, the acquisition unit 14b acquires the first date and the last date and time of the period of the operation information 10 and the data 11 used when determining the normality of the sensor 3 transmitted from the terminal 6 (S105). Then, the acquiring unit 14b acquires information indicating the operating state registered in the item “operating state” in the period from the first date to the last date from the registered contents of the specified operating information table 13b. Further, the acquisition unit 14b acquires the analog value registered in the item “analog value” in the period from the first date to the last date from the registered contents of the specified detection result table 13a (S106).

  Subsequently, the determination unit 14c calculates a correlation value between the information indicating the operating state acquired by the acquisition unit 14b and the analog value (S107). Then, the determination unit 14c compares the correlation value with a predetermined value (for example, 0.9), and determines whether or not the correlation value is greater than or equal to the predetermined value (S108).

  When the correlation value is greater than or equal to the predetermined value (S108; Yes), the determination unit 14c transmits an instruction to display a message to affirm the normality of the sensor 3 together with the correlation value to the terminal 6 (S109). The process is terminated.

On the other hand, when the correlation value is not equal to or greater than the predetermined value (S108; No), the determination unit 14c transmits an instruction to display a message to the effect that the sensor 3 is denied together with the correlation value to the terminal 6 (S110). ). Then, the determination unit 14c determines whether or not a button labeled “OK” as illustrated in the example of FIG. 20 is pressed (S111). When not pressed (S111; No), the determination unit 14c performs the process of S111 again. On the other hand, when pressed (S111; Yes), the determination unit 14c determines whether there is an unselected device 2 among the devices 2 other than the device 2 with the name input by the administrator on the reception screen 20. Is determined (S112). When there is an unselected device 2 (S112; Yes), the determination unit 14c selects one unselected device 2 (S113). Then, the determination unit 14c identifies the operation information table 13b registered in the item “device ID” whose ID of the selected device 2 is selected from the N operation information tables 13b _{1 to} 13b _N (S114).

  Then, the determination unit 14c determines the operation state registered in the item “operation state” in the period from the first date and time specified by the administrator to the last date and time from the registered contents of the specified operation information table 13b. The information shown is acquired (S115). And the determination part 14c calculates the correlation value of the information which shows the acquired operation state, and the analog value acquired by the acquisition part 14b using said Formula (1) (S116), and returns to S112.

  On the other hand, when there is no unselected device 2 (S112; No), the determination unit 14c includes the following devices 2 among the devices 2 other than the device 2 with the name input on the reception screen 20 by the administrator. A process for determining whether or not there is is performed. That is, the determination unit 14c determines whether there is a device 2 that has detected the operation information 10 when the value of the correlation value is equal to or greater than a predetermined value (for example, 0.9) (S117). When there is not (S117; No), the determination unit 14c ends the process. On the other hand, if there is (S117; Yes), the determination unit 14c acquires the name of the device 2 determined to be present from the name table 13c using the ID of the device 2 determined to be present (S118). Then, the determination unit 14c transmits to the terminal 6 an instruction to display a message indicating that the device 2 with the acquired name may be monitored by the sensor 3 with the name input by the administrator on the reception screen 20. (S119), and the process ends.

  As described above, the server 5 according to the embodiment acquires the operation information of the device 2 and the output of the sensor 3 that detects information about the device 2. And the server 5 determines the normality of the sensor 3 based on the correlation between the output of the acquired sensor 3, and the change of the operation state which the operation information of the apparatus 2 shows. Thus, according to the server 5, the normality of the sensor 3 is determined based on the correlation between the acquired output of the sensor 3 and the change in the operation state indicated by the operation information of the device 2. For this reason, the server 5 determines the normality of the sensor 3 using information that can be accurately determined when determining the normality of the sensor 3, which is a correlation. Therefore, according to the server 5, it is possible to accurately determine whether the operation information of the device is synchronized with the output of the sensor.

  In addition, when the server 5 determines to deny the normality of the sensor 3 designated by the administrator, the output of another sensor 3 different from the sensor 3 designated by the administrator and the operation information of the device 2 are indicated. Based on the correlation with the change in the operating state, the normality of the other sensors 3 is determined. Thereby, normality can be determined also about sensors 3 other than the sensor 3 designated by the administrator.

  Although the embodiments related to the disclosed apparatus have been described above, the present invention may be implemented in various different forms other than the above-described embodiments. For example, in the above-described embodiment, the case where the sensor 3 is a vibration sensor that detects the vibration of the device 2 has been described, but the disclosed apparatus is not limited thereto. For example, the sensor 3 may be a sound sensor that is attached to the device 2 and detects the sound of the device 2, or may be a current sensor that detects a current flowing through the device 2. In addition, the sensor 3 may be an optical sensor that is attached to the device 2 and detects light emitted from the device 2.

  Moreover, although the example mentioned above illustrated about the case where the operation information 10 and the data 11 of the period which the administrator designated were acquired, the apparatus of an indication is not limited to this. For example, the acquisition unit 14b of the server 5 includes the operation information 10 in a period including both “0” and “1” in the operation information 10, that is, a period including both operation states in which the device 2 is operating and stopped. Data 11 can also be acquired. When the determination unit 14c calculates the correlation value C according to the above equation (1) using the operation information 10 and the data 11 in the period including both the operating state and the stopped state as described above, The following effects can be obtained from the characteristic (1). That is, the accuracy of the calculated correlation value is higher than that in the case where the correlation value C is calculated by the above-described equation (1) using the operation information 10 and the data 11 in the period not including both operation states. Become.

  In addition, among the processes described in the embodiments, all or a part of the processes described as being automatically performed can be manually performed. In addition, among the processes described in the embodiments, all or a part of the processes described as being manually performed can be automatically performed by a known method.

  In addition, the processing at each step of each processing described in the embodiment can be arbitrarily finely divided or combined according to various loads and usage conditions. Also, the steps can be omitted.

  In addition, the order of processing at each step of each processing described in the embodiment can be changed according to various loads and usage conditions.

  Further, each component of each illustrated apparatus is functionally conceptual, and does not necessarily need to be physically configured as illustrated. In other words, the specific state of distribution / integration of each device is not limited to the one shown in the figure, and all or a part thereof may be functionally or physically distributed or arbitrarily distributed in arbitrary units according to various loads or usage conditions. Can be integrated and configured.

[Judgment program]
The various processes of the server 5 described in the above embodiment can also be realized by executing a program prepared in advance on a computer system such as a personal computer or a workstation. Therefore, an example of a computer that executes a determination program having the same function as that of the server 5 described in the above embodiment will be described below with reference to FIG. FIG. 23 is a diagram illustrating a computer that executes a determination program.

  As shown in FIG. 23, the computer 300 includes a central processing unit (CPU) 310, a read only memory (ROM) 320, a hard disk drive (HDD) 330, and a random access memory (RAM) 340. These devices 310 to 340 are connected via a bus 350.

  The ROM 320 stores basic programs such as an OS. In addition, the HDD 330 stores in advance a determination program 330a that performs the same functions as the registration unit 14a, the acquisition unit 14b, and the determination unit 14c described in the above embodiment. Note that the determination program 330a may be separated as appropriate. In addition, the HDD 330 is provided with a detection result table, an operation information table, and a name table. The detection result table corresponds to the detection result table 13a described above, the operation information table corresponds to the operation information table 13b described above, and the name table corresponds to the name table 13c described above.

  Then, the CPU 310 reads out the determination program 330a from the HDD 330 and executes it.

  Then, the CPU 310 reads out the detection result table, the operation information table, and the name table and stores them in the RAM 340. Further, the CPU 310 executes the determination program 330a using the detection result table, the operation information table, and the name table stored in the RAM 340. Note that the data stored in the RAM 340 may not always be stored in the RAM 340. Data used for processing may be stored in the RAM 340.

  Note that the determination program 330a is not necessarily stored in the HDD 330 from the beginning.

  For example, the determination program 330 a is stored in a “portable physical medium” such as a flexible disk (FD), a CD-ROM, a DVD disk, a magneto-optical disk, or an IC card inserted into the computer 300. Then, the computer 300 may read and execute the determination program 330a from these.

  Furthermore, the determination program 330a is stored in “another computer (or server)” connected to the computer 300 via a public line, the Internet, a LAN, a WAN, or the like. Then, the computer 300 may read and execute the determination program 330a from these.

DESCRIPTION OF SYMBOLS 1 System 2 Apparatus 2a Detection part 2b Transmission part 3 Sensor 3a Detection part 3b Output part 5 Server 6 Terminal 13 Storage part 13a Detection result table 13b Operation information table 13c Name table 14 Control part 14a Registration part 14b Acquisition part 14c Determination part

Claims (6)

The server
Obtaining operational information of a plurality of devices connected to the server and an output of a sensor that detects information on at least one of the plurality of devices ;
A target device to be monitored by the sensor is determined according to the magnitude of correlation between the acquired operation information of the plurality of devices and the output of the acquired sensor.
A determination method characterized by executing processing. When the output of the sensor is stored in association with the first device among the plurality of devices, the output of the sensor is first determined to be correlated with the operation information of the first device, When the magnitude of the correlation exceeding a predetermined standard is detected by the determination, the sensor determines that the sensor is normal as a sensor for monitoring the first device.
The determination method according to claim 1, wherein the process is executed . In the process of acquiring the operation information of the device and the output of the sensor, the operation state indicated by the operation information of the device includes a period in which the device is operating and a time in which the device is not operating. The determination method according to claim 1, wherein operation information of the apparatus and output of the sensor are acquired. The process of acquiring the operation information of the device and the output of the sensor acquires the operation information of the device and the output of a vibration sensor that detects the vibration of the device,
The determination process determines the normality of the vibration sensor based on the magnitude of correlation between the acquired output of the vibration sensor and a change in the operation state indicated by the operation information of the device.
The determination method according to any one of claims 1 to 3, wherein: On the computer,
Obtaining operation information of a plurality of devices connected to the computer and an output of a sensor for detecting information on at least one of the plurality of devices ;
A target device to be monitored by the sensor is determined according to the magnitude of correlation between the acquired operation information of the plurality of devices and the output of the acquired sensor.
A determination program characterized by causing a process to be executed. A system having a plurality of devices, sensors, and a server,
The plurality of devices include a transmission unit that transmits operation information of the devices to the server,
The sensor has an output unit that outputs a result of detecting information about the device,
The server
An acquisition unit that acquires operation information of the plurality of devices transmitted from the transmission unit, and an output of a sensor that detects information on at least one of the plurality of devices output from the output unit;
A system comprising: a determination unit that determines a device to be monitored by the sensor according to the magnitude of correlation between the acquired operation information of the plurality of devices and the acquired output of the sensor .

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