JP2017151923A - Gateway device and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To restrain any reliability deterioration of auto-diagnostic systems for machines and the like.SOLUTION: A gateway device 1100, which is a gateway device connected to a sensor comprises (A) a data storage 1106, (B) a communication unit for connection to a remote diagnosing device via a network, (C) a detecting unit 1104 that detects a first state in which the communication unit is not connected to the network and a second state in which the communication unit cannot communicate via the remote diagnosing device and the network, (D) a managing unit 1105 that, when the detecting unit has detected the first state or the second state, stores into the data storage at least either sensor data acquired from the sensor and the result of prescribed processing of the sensor data, and (E) a diagnosing unit 1107 that executes prescribed diagnostic processing on the basis of data stored in the data storage.SELECTED DRAWING: Figure 2

Description

  The present invention relates to a gateway device in a remote diagnosis system for machines and the like.

  In recent years, so-called IoT (Internet of Things) systems that connect various sensors to the Internet, acquire data from a large number of sensors, and perform various analyzes in the cloud based on the acquired data have begun to become popular. A device installed at a site such as a factory for connecting a sensor to the Internet is called a gateway or an edge (or a gateway device or an edge device), and various products are on the market.

  The IoT system has a great advantage that high-accuracy diagnosis can be performed by utilizing a huge amount of past data (ie, big data) accumulated in the cloud. On the other hand, since there are many system components compared with the conventional diagnostic system, there is a problem that the reliability of the automatic diagnostic system itself tends to be lowered. In particular, a network (specifically, the Internet), which is one of the components, is generally provided as a best-effort service and cannot be said to have high reliability. As a result, there is a problem that the reliability of the IoT system is lower than the reliability of the machine to be diagnosed.

  In addition, network connection is indispensable in the IoT system, but in the field where the network connection cannot be made immediately, a stand-alone type diagnosis system must be introduced instead of the IoT system. Since the stand-alone type diagnostic system is not scalable, the system must be completely replaced when the IoT system is introduced in the future.

  Furthermore, the gateway and the sensor in the IoT system are always installed and are required to perform continuous measurement. However, the site where the gateways and sensors are installed is not necessarily a good environment, and therefore the possibility of failure in them increases. If the diagnosis is performed while the gateway and the sensor are out of order, an erroneous diagnosis is performed, and the reliability of the diagnosis itself is greatly reduced.

  The conventional gateway used in the IoT system does not have a function for dealing with such a problem, and hinders introduction of the IoT system.

JP 2004-108209 A JP-A-2005-291106 JP 2002-352368 A Japanese Patent Application Laid-Open No. 5-46891

  Therefore, the objective of this invention is providing the technique for suppressing the reliability fall of the automatic diagnostic system with respect to a machine etc. according to one side.

  Another object of the present invention in another aspect is to provide a highly autonomous gateway device and a program for realizing the gateway device.

  A gateway device according to the present invention is a gateway device connected to a sensor, and includes (A) a data storage unit, (B) a communication unit for connecting to a remote diagnosis device via a network, and (C) communication. A detection unit that detects a first state in which the unit is not connected to the network and a second state in which communication with the remote diagnosis apparatus cannot be performed via the network; and (D) the detection unit determines whether the first state or the second state is detected. If detected, at least one of sensor data acquired from the sensor and a result of executing predetermined processing on the sensor data is stored in the data storage unit, and (E) is stored in the data storage unit And a diagnostic unit that executes a predetermined diagnostic process based on the obtained data.

  According to one aspect, it is possible to suppress a decrease in the reliability of an automatic diagnosis system for a machine or the like.

  In another aspect, the autonomy of the gateway device is enhanced.

FIG. 1 is a diagram showing an outline of an automatic diagnosis system according to an embodiment. FIG. 2 is a diagram illustrating a configuration example of the gateway according to the first embodiment. FIG. 3 is a diagram illustrating a configuration example of the signal processing unit. FIG. 4 is a diagram illustrating a configuration example of the diagnosis server. FIG. 5 is a diagram illustrating a process flow according to the first embodiment. FIG. 6 is a diagram illustrating a configuration example of a gateway according to the second embodiment. FIG. 7 is a diagram illustrating a flow of processing according to the second embodiment.

[Embodiment 1]
An outline of the automatic diagnosis system according to the present embodiment will be described with reference to FIG. In the present embodiment, acoustic diagnosis and vibration diagnosis will be described as an example, but the present invention can also be applied to automatic diagnosis using a sensor other than an acoustic sensor and a vibration sensor. One of an acoustic sensor and a vibration sensor may be used.

  A diagnosis target device 1200 and a gateway 1100 are installed at a site such as a factory 1000. The gateway 1100 outputs a microphone 1150 that is an acoustic sensor, a vibration sensor 1160, and a diagnosis result in the gateway 1100. It is connected to the device 1170.

  The vibration sensor 1160 measures the vibration of the diagnosis target device 1200 that occurs during the operation of the diagnosis target device 1200. The microphone 1150 measures sound generated based on the vibration of the diagnosis target device 1200 that occurs during operation of the diagnosis target device 1200. The output device 1170 outputs an alarm with light or sound or both when at least a failure (or a sign of failure, the same applies hereinafter) is detected.

  The gateway 1100 is connected to a network 100 such as the Internet via a wired or wireless LAN (Local Area Network) at a site such as the factory 1000, for example. However, even when the gateway 1100 according to the present embodiment is not connected to the network 100, the gateway 1100 autonomously functions as a stand-alone type automatic diagnostic apparatus.

  Connected to the network 100 is a cloud 2000 including a diagnostic server 2100 that operates in cooperation with the gateway 1100 according to the present embodiment. The cloud 2000 includes a business system 2300 of a company that operates the factory 1000 and the like, and cooperates with the diagnosis server 2100. That is, a notification of a failure or the like is received from the diagnostic server 2100, or manufacturing plan data or the like is transmitted from the business system 2300 to the diagnostic server 2100.

  A configuration example of the gateway 1100 according to the present embodiment is shown in FIG. The gateway 1100 includes an AD (Analog to Digital) conversion unit 1101, a signal processing unit 1102, a network interface unit 1103, a network connection detection unit 1104, a data recording management unit 1105, a data storage unit 1106, and a diagnosis unit 1107. And have.

  The AD conversion unit 1101 converts an analog signal output from the microphone 1150 and the vibration sensor 1160 into a digital signal. The signal processing unit 1102 extracts feature data (also referred to as a feature parameter) by executing predetermined processing on the digital signal output from the AD conversion unit 1101. Generally, when performing acoustic diagnosis and vibration diagnosis, the signal processing unit 1102 is provided in the gateway 1100, but in the case of other sensors, the signal processing unit 1102 may not be provided.

  The network interface unit 1103 has a function of connecting to a LAN in the field such as the factory 1000 by wire or wireless. When the network interface unit 1103 can communicate with the diagnosis server 2100 via the network 100, the network interface unit 1103 transmits the output of the AD conversion unit 1101 and the output of the signal processing unit 1102. When the output of the signal processing unit 1102 is transmitted, the output of the AD conversion unit 1101 may not be transmitted.

  The network connection detection unit 1104 determines whether or not the network interface unit 1103 is connected to a LAN or the like and whether or not communication with the diagnostic server 2100 is possible via the network 100. The former state is when the gateway 1100 is used as a stand-alone type automatic diagnostic apparatus, and the latter state is when the gateway 1100 is used as a part of the IoT system, but there is some trouble in the LAN, network 100, diagnostic server 2100, etc. Is occurring.

  When instructed by the network connection detection unit 1104, the data recording management unit 1105 stores the output of the AD conversion unit 1101 and the output of the signal processing unit 1102 in the data storage unit 1106. The data stored in the data storage unit 1106 can be output to an external personal computer or the like via an interface such as a USB (Universal Serial Bus). For example, the data may be taken out with a personal computer and the data may be uploaded to the diagnostic server 2100 at another location.

  The network connection detection unit 1104 detects data recording management when the network interface unit 1103 is connected to a LAN or the like and can communicate with the diagnostic server 2100 via the network 100 after detecting any of the above states. The next instruction is output to the unit 1105.

  Upon receiving the next instruction from the network connection detection unit 1104, the data record management unit 1105 causes the network interface unit 1103 to transmit untransmitted data stored in the data storage unit 1106 to the diagnosis server 2100.

  The diagnosis unit 1107 executes simple diagnosis processing in a state where data is stored in the data storage unit 1106. The simple diagnosis process is different from the diagnosis process performed by the diagnosis server 2100. For example, the following determination is performed.

  That is, the data currently obtained from the microphone 1150 or the like is diagnosed based on the diagnostic criteria determined by the data obtained from the microphone 1150 or the like of the gateway 1100 in the past. More specifically, whether the effective value of the sound wave or vibration waveform data currently obtained from the microphone 1150 or the like is larger than a threshold value, the spectrum of the sound wave or vibration waveform data currently obtained from the microphone 1150 or the like. Judgment is made based on whether or not the deviation from the registered normal spectrum is larger than a threshold value. The threshold value may be determined statistically from time to time based on past data, or may be fixed.

  When detecting a failure, the diagnosis unit 1107 causes the output device 1170 to output an alarm. In the normal state, a signal indicating the normal state may be output.

  Next, a configuration example of the signal processing unit 1102 will be described with reference to FIG. As described above, the signal processing unit 1102 is a process of extracting feature amounts from measurement results in acoustic diagnosis and vibration diagnosis. The feature amount is various data and is a specific feature parameter used in the diagnosis algorithm.

  The signal processing unit 1102 includes an unnecessary component removal unit 111, an amplitude envelope extraction unit 112, an event extraction unit 113, a first parameter extraction unit 114, a synchronous cutout unit 115, a second parameter extraction unit 116, A synchronous average / median processing unit 117 and a result integrating unit 118 are included.

  The sound or vibration signal waveform from the AD conversion unit 1101 is first input to the unnecessary component removal unit 111, and unnecessary components such as noise are removed. In this case, LPF (Low Pass Filter), HPF (High Pass Filter), BPF (Band Pass Filter), BRF (Band Rejection Filter), etc., depending on the difference in frequency characteristics between the unwanted component to be removed and the useful component to be left. Used as appropriate. The signal from which the unnecessary component is removed is output to the amplitude envelope extraction unit 112, and the amplitude envelope of the signal waveform is extracted based on the smoothing time constant. Here, the envelope extraction is performed by performing the smoothing process after the rectification process. The event extraction unit 113 extracts the extracted envelope peak as an event based on the event extraction threshold. The first parameter extraction unit 114 extracts the number of events per unit time, the interval between events, and the intensity of the event as feature parameters for each event.

  The synchronization cutout unit 115 cuts out a signal waveform from which unnecessary components are removed in synchronization with the event extracted by the event extraction unit 113. In the second parameter extraction unit 116, the vibration attenuation rate, the number of zero crossings, the peak frequency, the centroid frequency, the spectral dispersion, the spectral tilt, the spectral entropy, the harmonic structure degree, the spectral time variation, etc. Extract feature parameters. The synchronous average / median processing unit 117 performs synchronous average or median (median) processing of a plurality of (three, five, seven, etc.) waveforms that are synchronously cut out, and is extracted by the second parameter extraction unit 116. Stabilize the value of the feature parameter The result integration unit 118 integrates the feature parameters extracted by the first parameter extraction unit 114 and the second parameter extraction unit 116 and outputs the result as a processing result of the signal processing unit 1102.

  In FIG. 1, an example in which the factory 1000 is one place is shown, but there may be a plurality of places. In addition, although an example in which one diagnosis target device 1200 is installed in one factory 1000 is shown, there may be a plurality of diagnosis target devices 1200. In this case, a gateway 1100 may be provided for each, or a sensor for each diagnosis target device 1200 may be connected to one gateway 1100.

  Next, a configuration example of the diagnostic server 2100 will be described with reference to FIG. The diagnosis server 2100 includes an accumulation processing unit 2101, various databases 2102, a learning processing unit 2103, a likelihood calculation unit 2104, a determination unit 2105, and a gateway management unit 2106.

  The accumulation processing unit 2101 performs processing for accumulating data received from the gateway 1100 (the output of the AD conversion unit 1101 and the output of the signal processing unit 1102) in various databases 2102.

  In addition to the data received from the gateway 1100 as described above, the various databases 2102 store manufacturing plan data, weather data, economic data, and the like from the business system 2300, for example.

  The learning processing unit 2103 is based on a large amount of data obtained from a large number of gateways 1100 in the past and present, and a large amount of external data such as manufacturing plan data, weather data, economic data, and the like. And statistical learning to determine diagnostic logic. The likelihood calculation unit 2104 calculates the likelihood of failure of the diagnosis target device 1200 in charge of the gateway 1100 that is the transmission source of the current data in accordance with the diagnosis logic determined by the learning processing unit 2103 and outputs the failure likelihood to the determination unit 2105. . Based on the likelihood calculated by the likelihood calculation unit 2104, the determination unit 2105 determines whether there is a failure in the diagnosis target device 1200 that is handled by the gateway 1100 that is the transmission source of the current data, and the determination result is the business system 2300. Send to etc.

  As described above, the diagnosis server 2100 side performs a diagnosis process that is more sophisticated than the diagnosis process performed only on the gateway 1100 side.

  The gateway management unit 2106 communicates with the gateway 1100, receives a notification of failure of the microphone 1150, the vibration sensor 1160, and the like, and notifies the business system 2300 and the like. For example, the gateway management unit 2106 specifies the non-operating time zone of the diagnosis target device 1200 from the manufacturing plan data, and instructs the gateway 1100 to perform a self-diagnosis test during the non-operating time zone. Note that the gateway management unit 2106 mainly relates to the second embodiment.

  Next, main processing in the present embodiment will be described with reference to FIG.

  The network connection detection unit 1104 determines whether the network interface unit 1103 is connected to a network such as a LAN or the network 100 regularly or at a predetermined timing (step S1). When connected to a network such as the LAN or the network 100, the network connection detection unit 1104 determines whether or not communication with the diagnostic server 2100 is possible (step S3).

  If communication with the diagnostic server 2100 is possible, the network connection detection unit 1104 sends the output of the AD conversion unit 1101 and the output of the signal processing unit 1102 to the network interface unit 1103 because it is operating as an IoT system. It transmits to the diagnostic server 2100 (step S5). Further, the network connection detection unit 1104 instructs the data recording management unit 1105 to transmit to the diagnosis server 2100 if unsent data is accumulated in the data storage unit 1106. The data recording management unit 1105 In response, unsent data is read from the data storage unit 1106 and transmitted to the network interface unit 1103 (step S7). In addition, the network connection detection unit 1104 instructs the data recording management unit 1105 to end data recording.

  In this way, even if there is a time zone during which communication could not be performed due to a problem with the network 100, the diagnostic server 2100, etc., data can be stored on the diagnostic server 2100 side later.

  When the diagnosis server 2100 receives the output of the AD conversion unit 1101 and the output of the signal processing unit 1102 from the gateway 1100, as described above, the diagnosis server 2100 accumulates them in various databases 2102 and performs diagnosis processing to check whether a failure has occurred. Determine.

  If the end of the process is not instructed (step S9: No route), the process returns to step S1. On the other hand, if the process end is instructed (step S9: Yes route), the process ends.

  On the other hand, when the network connection detection unit 1104 detects that the network interface unit 1103 is not connected to a network such as the LAN or the network 100, or the network connection detection unit 1104 is connected to a network such as the LAN or the network 100, When it is detected that communication is not possible, the network connection detection unit 1104 instructs the data recording management unit 1105 to start data recording (step S11). If data recording has already started, the continuation of data recording is instructed. The data recording management unit 1105 stores the output of the AD conversion unit 1101 and the output of the signal processing unit 1102 in the data storage unit 1106.

  In this way, even when the gateway 1100 is used as a stand-alone type automatic diagnosis apparatus without being connected to the network, the state is detected and it is recognized that it operates as a stand-alone type automatic diagnosis apparatus. Therefore, the process for that purpose will be implemented. Further, even when the communication with the diagnosis server 2100 is temporarily impossible, the state is recognized and the monitoring of the diagnosis target device 1200 is continued autonomously as a stand-alone automatic diagnosis device.

  In addition, the diagnosis unit 1107 performs diagnosis based on the data stored in the data storage unit 1106, for example, in response to an instruction from the data recording management unit 1105 (step S13). As described above, a diagnosis process simpler than the diagnosis process in the diagnosis server 2100 is executed.

  As a result of the diagnosis processing, when a failure is detected (step S15: Yes route), the diagnosis unit 1107 causes the output device 1170 to output an alarm (step S17). Then, the process ends. In addition, you may make it return to step S1. Further, only data recording may be continued.

  In this way, the occurrence of the problem is detected, and a person on site such as the factory 1000 is requested to take a measure for the diagnosis target device 1200.

  On the other hand, if no failure is detected as a result of the diagnosis process (step S15: No route), the process proceeds to step S9.

  By executing such processing, since automatic diagnosis is continued autonomously even if remote automatic diagnosis is impossible, a decrease in reliability of the automatic diagnosis system can be suppressed.

  Further, automatic diagnosis by the diagnosis unit 1107 and automatic diagnosis by the diagnosis server 2100 can be switched according to the situation, and the autonomy of the gateway 1100 is increased.

  Furthermore, even when a network such as a LAN cannot be introduced at the site of the factory 1000 or the like, a stand-alone automatic diagnostic apparatus that can maintain future expandability can be introduced.

[Embodiment 2]
The present embodiment addresses a problem that arises when a gateway is continuously installed at a site such as a factory 1000 where the environment is not good.

  Specifically, gateway 1100b according to the present embodiment has a configuration as shown in FIG. FIG. 6 mainly shows components related to the present embodiment.

  That is, the gateway 1100b is connected to a microphone 1150 and a vibration sensor 1160 as shown in FIG. 1, and is also connected to a speaker 1180 and a vibrator 1190 as output devices as shown in FIG. The speaker 1180 outputs sound, and the vibrator 1190 applies vibration to the diagnosis target device 1200.

  The gateway 1100b includes an AD conversion unit 1101, a signal processing unit 1102, a network interface unit 1103, a network connection detection unit 1104b, a data recording management unit 1105, a sensor test control unit 1108, and a test data storage unit 1109. And a test data output unit 1110.

  The AD conversion unit 1101, the signal processing unit 1102, the network interface unit 1103, and the data recording management unit 1105 have the same functions as those in the first embodiment.

  In addition to the function according to the first embodiment, the network connection detection unit 1104b periodically or at an arbitrary timing performs a test of the network interface unit 1103, a communication test between the network interface unit 1103 and the diagnostic server 2100, and the like. It has a function to perform. That is, a communication system self-diagnosis test is performed.

  The test data storage unit 1109 stores test data for causing the speaker 1180 to output a predetermined test sound and test data for causing the vibrator 1190 to generate a predetermined vibration.

  The test data output unit 1110 causes the test data stored in the test data storage unit 1109 to be output to the speaker 1180 and the vibrator 1190 in response to an instruction from the sensor test control unit 1108. There are cases where only a predetermined test sound is output, and cases where only a predetermined vibration is generated.

  The sensor test control unit 1108 determines whether or not it is a time zone in which a self-diagnosis test can be performed based on at least one of the output of the AD conversion unit 1101 and the output of the signal processing unit 1102. The sensor test control unit 1108 instructs the test data output unit 1110 to output test data during a time period when the self-diagnosis test can be performed or in response to an instruction from the gateway management unit 2106 of the diagnostic server 2100. Also in the first embodiment, as described for the diagnostic server 2100, the gateway management unit 2106 specifies the non-operating time zone of the diagnosis target device 1200 from the manufacturing plan data, and the gateway 1100b is set in the non-operating time zone. Instructs the self-diagnostic test to be performed. Then, the sensor test control unit 1108 receives an instruction from the gateway management unit 2106 via the network interface unit 1103.

  After instructing the test data output unit 1110 to output test data, the sensor test control unit 1108 outputs the test data to the output test data based on at least one of the output of the AD conversion unit 1101 and the output of the signal processing unit 1102. It is determined whether or not a corresponding result has been obtained. When a result corresponding to the output test data cannot be obtained, sensors such as the microphone 1150 and the vibration sensor 1160, and the AD converter 1101 (and the signal processor 1102 when the output of the signal processor 1102 is used) Therefore, the sensor test control unit 1108 outputs an alarm to the output device 1170. Note that the abnormality includes not only a failure but also a defect such as an installation failure. On the other hand, when a result corresponding to the output test data is obtained, no abnormality has occurred, so the sensor test control unit 1108 outputs nothing or outputs a signal indicating a normal state or the like. 1170.

  If an abnormality is detected, the sensor test control unit 1108 notifies the gateway management unit 2106 of the diagnostic server 2100 via the network interface unit 1103 if possible. Then, the gateway management unit 2106 notifies the business system 2300 or the like of the occurrence of an abnormality. This notifies the necessity of adjustment or calibration of the sensor or gateway 1100b.

  As described above, when operating as a stand-alone type automatic diagnostic apparatus, a self-diagnosis test of the sensor system can be autonomously executed. When operating as an IoT system, a self-diagnosis test can be executed at an appropriate timing in accordance with an instruction from the diagnosis server 2100.

  The main processing according to the present embodiment will be described with reference to FIG.

  The network connection detection unit 1104b determines whether the network interface unit 1103 is connected to a network such as a LAN or the network 100 regularly or at a predetermined timing (step S21). When connected to a network such as a LAN or the network 100, the network connection detection unit 1104b determines whether or not communication with the diagnostic server 2100 is possible (step S23).

  If communication with the diagnostic server 2100 is possible, the network connection detection unit 1104b notifies the sensor test control unit 1108 that it is operating as an IoT system.

  Then, the sensor test control unit 1108 waits for reception of the test execution instruction from the gateway management unit 2106 of the diagnostic server 2100, and then receives the test execution instruction (step S25).

  In response to the test execution instruction, the sensor test control unit 1108 causes the test data output unit 1110 to output the test data stored in the test data storage unit 1109 to the speaker 1180 and the vibrator 1190 (step S31). As a result, a predetermined sound is emitted from the speaker 1180 or a predetermined vibration is generated by the vibrator 1190.

  Then, sound and vibration are detected by the microphone 1150 and the vibration sensor 1160. The AD converter 1101 converts signals from the microphone 1150 and the vibration sensor 1160 into digital signals, and the signal processor 1102 extracts feature parameters.

  The sensor test control unit 1108 acquires at least one of the output of the AD conversion unit 1101 and the output of the signal processing unit 1102 corresponding to the test data (step S33).

  Then, the sensor test control unit 1108 performs a self-diagnosis for determining whether there is an abnormality in the sensor or the like based on the acquired data (step S35). For example, it is determined whether or not the difference from the signal waveform expected from the test data is greater than the reference, and whether or not the difference from the feature parameter expected from the test data is greater than the reference.

  If an abnormality is detected by the self-diagnosis (step S37: Yes route), the sensor test control unit 1108 causes the output device 1170 to output an alarm (step S39). As a result, personnel on site such as the factory 1000 can recognize the necessity for adjustment and calibration of the microphone 1150, the vibration sensor 1160, and the gateway 1100b.

  If the sensor is operating as an IoT system, the sensor test control unit 1108 notifies the gateway management unit 2106 of the diagnostic server 2100 of the occurrence of an abnormality via the network interface unit 1103. Then, the process ends.

  On the other hand, if no abnormality is detected (step S37: No route), the process ends. However, the normal state may be output to the output device 1170.

  On the other hand, when the network connection detection unit 1104b detects that the network interface unit 1103 is not connected to a network such as the LAN or the network 100, or is connected to a network such as the LAN or the network 100, the diagnostic server 2100 When it is detected that communication with the gateway 1100b is not possible, the gateway 1100b is operating as a stand-alone automatic diagnosis apparatus.

  Therefore, the network connection detection unit 1104b notifies the sensor test control unit 1108 that it is operating as a stand-alone automatic diagnosis device.

  Then, the sensor test control unit 1108 determines whether or not the test can be executed based on at least one of the output of the AD conversion unit 1101 and the output of the signal processing unit 1102 (step S27). Specifically, whether or not a sound or vibration is not detected, or a sound or vibration that affects the test is not detected, is determined based on at least the output of the AD conversion unit 1101 and the output of the signal processing unit 1102. Judge based on either.

  If the test is not possible (step S29: No route), the process of step S27 is continued. On the other hand, if it is determined that the test can be executed (step S29: Yes route), the process proceeds to step S31.

  As described above, when the sensor test control unit 1108 operates as a stand-alone type automatic diagnosis apparatus, the sensor test control unit 1108 performs self-diagnosis at an autonomous timing.

  Although the embodiment of the present invention has been described above, the present invention is not limited to this. For example, it is possible to implement a gateway in which the gateway function according to the first embodiment and the gateway function according to the second embodiment are integrated. On the other hand, it is also possible to implement a gateway that implements the main functions of the second embodiment.

  Furthermore, the functions of the signal processing unit 1102 described above are examples, and not all of them need to be implemented. In particular, for the feature parameters, only some parameters may be extracted, or more parameters may be extracted.

  Regarding the diagnosis processing of the diagnosis unit 1107, the processing content described above is an example, and other processing content may be used. However, diagnosis is performed from data set in advance in the gateway 1100 and data obtained in the gateway 1100, and diagnosis in the diagnosis server 2100 is also performed using data obtained in other gateways 1100. Is different.

  Regarding the self-diagnosis processing performed in the sensor test control unit 1108, the processing content described above is merely an example, and other processing content may be used.

  The diagnosis server 2100 described above is a computer device, and includes a memory, a CPU (Central Processing Unit), a hard disk drive (HDD), a display control unit connected to the display device, and a removable disk. And a communication control unit for connecting to a network are connected by a bus. An operating system (OS) and an application program for performing the processing in this embodiment are stored in the HDD, and are read from the HDD to the memory when executed by the CPU. The CPU controls the display control unit, the communication control unit, and the drive device in accordance with the processing content of the application program, and performs a predetermined operation. Further, data in the middle of processing is mainly stored in the memory, but may be stored in the HDD. In the embodiment of the present invention, an application program for performing the above-described processing is stored and distributed on a computer-readable removable disk, and installed from the drive device to the HDD. In some cases, the HDD is installed via a network such as the Internet and a communication control unit. Such a computer apparatus realizes various functions as described above by organically cooperating hardware such as the CPU and memory described above with programs such as the OS and application programs.

  The gateways 1100 and 1100b also basically have the same configuration as the computer device described above. However, other storage devices such as a flash memory may be used instead of the HDD, or the drive device may not be provided.

  The above-described embodiment can be summarized as follows.

  The gateway device according to the present embodiment is a gateway device connected to a sensor, and includes (A) a data storage unit, (B) a communication unit for connecting to a remote diagnosis device via a network, and (C ) A detection unit that detects a first state in which the communication unit is not connected to the network and a second state in which the communication unit cannot communicate with the remote diagnosis device via the network; and (D) the detection unit detects the first state or the second state. A management unit that stores in the data storage unit at least one of sensor data acquired from the sensor and a result of executing a predetermined process on the sensor data when the state is detected; and (E) a data storage unit And a diagnostic unit for executing a predetermined diagnostic process based on the data stored in the database.

  In this way, even when communication with the remote diagnosis apparatus cannot be performed, the apparatus operates as a stand-alone type automatic diagnosis apparatus, so that a decrease in reliability of the automatic diagnosis system can be suppressed. In addition, when it is not connected to a network, it autonomously operates as a stand-alone type automatic diagnosis device, so that the introduction of this gateway device that retains expandability to the IoT system is promoted.

  When the detection unit does not detect the first state and the second state, the communication unit displays at least one of the sensor data and the result of executing a predetermined process on the sensor data. You may make it transmit to. In this way, there is a case where it operates as a gateway device of the IoT system.

  Furthermore, after the detection unit detects the first state or the second state, the communication unit remotely transmits the data stored in the data storage unit when the first state and the second state are not detected. You may make it transmit to a diagnostic apparatus. As described above, by transmitting data that has not been transmitted to the remote diagnosis apparatus, the remote diagnosis apparatus can enrich the accumulated data.

  In addition, the predetermined diagnosis process described above may be a process different from the diagnosis process performed based on data acquired from a plurality of gateway apparatuses by the remote diagnosis apparatus. A gateway device having a simple configuration is realized.

  Further, the gateway device described above is in a third state in which at least a sensor test can be executed based on at least one of sensor data acquired from the sensor and a result of executing a predetermined process on the sensor data. If the third state is determined, the output device connected to the gateway device is caused to output test data, and the test data output from the output device is obtained from the sensor. You may make it further have a test control part which judges the presence or absence of abnormality based on at least any one of the sensor data of this, and the result of having performed predetermined processing to the 2nd sensor data concerned.

  In this way, when operating as a stand-alone type automatic diagnostic apparatus, it is possible to autonomously execute a self-diagnosis test and perform the self-diagnosis test at the executable timing. .

  When the detection unit does not detect the first state and the second state, the test control unit described above causes the output device to output test data in response to an instruction from the remote diagnosis apparatus, and outputs the test data. Whether or not there is an abnormality is determined based on at least one of the second sensor data acquired from the sensor with respect to the test data output from the device and the result of executing a predetermined process on the second sensor data. Anyway. Thus, when operating as a gateway device of the IoT system, self-diagnosis is executed in accordance with an instruction from the remote diagnosis device.

  Furthermore, when the test control unit described above determines that there is at least an abnormality, the remote diagnosis device may be caused to notify the communication unit of the occurrence of the abnormality. This is to centrally manage sensor abnormalities.

  Furthermore, the sensor described above may be at least one of an acoustic sensor and a vibration sensor. Further, the predetermined process described above may be a process of extracting feature data from signal waveform data that is sensor data. In acoustic diagnosis and vibration diagnosis, processing for extracting feature data (feature parameters) is characteristic as a gateway device.

  A gateway device according to a second aspect of the present embodiment is a gateway device connected to a sensor and a test data output device, and (A) a test data storage unit that stores test data; and (B). Based on at least one of the sensor data acquired from the sensor and the result of executing a predetermined process on the sensor data, it is determined whether or not at least a test for the sensor can be executed. If it is determined that the test data stored in the test data storage unit is output to the output device, the second sensor data acquired from the sensor with respect to the test data output from the output device and the second sensor data A test control unit that determines whether there is an abnormality based on at least one of the results of executing predetermined processing .

  Thus, a gateway device with high autonomy is realized by autonomously timing the self-diagnosis test.

  The gateway device described above includes (C) a communication unit for connecting to a remote diagnosis device via a network, and (D) a first state and a remote diagnosis device in which the communication unit is not connected to the network. You may make it further have a detection part which detects the 2nd state which cannot communicate via a network. In this case, when the detection unit described above does not detect the first state and the second state, the test control unit causes the output device to output test data in response to an instruction from the remote diagnosis device, The presence / absence of abnormality is determined based on at least one of the second sensor data acquired from the sensor with respect to the test data output from the output device and the result of executing a predetermined process on the second sensor data. You may do it.

  When the remote diagnosis apparatus can be linked, a self-diagnosis test is executed in accordance with an instruction from the remote diagnosis apparatus.

  A program for realizing the gateway device can be created, and the program can be read by a computer such as a flexible disk, an optical disk (CD-ROM, DVD-ROM, etc.), a magneto-optical disk, a semiconductor memory, and a hard disk. It is stored in a possible storage medium or storage device. The intermediate processing result is temporarily stored in a storage device such as a main memory.

1101 AD conversion unit 1102 Signal processing unit 1103 Network interface unit 1104 Network connection detection unit 1105 Data recording management unit 1106 Data storage unit 1107 Diagnosis unit 1108 Sensor test control unit 1109 Test data storage unit 1110 Test data output unit

Claims (9)

A gateway device connected to the sensor,
A data storage unit;
A communication unit for connecting to a remote diagnosis device via a network;
A detection unit that detects a first state in which the communication unit is not connected to the network and a second state in which the communication unit cannot communicate with the remote diagnosis device;
When the detection unit detects the first state or the second state, at least one of the sensor data acquired from the sensor and the result of executing a predetermined process on the sensor data, A management unit stored in the data storage unit;
A diagnostic unit that executes a predetermined diagnostic process based on the data stored in the data storage unit;
A gateway device. When the detection unit does not detect the first state and the second state, the communication unit determines at least one of the sensor data and a result of executing a predetermined process on the sensor data. The gateway device according to claim 1, which is transmitted to the remote diagnosis device. After the detection unit detects the first state or the second state, the communication unit stores the data in the data storage unit when the first state and the second state are not detected. The gateway device according to claim 1 or 2, wherein the transmitted data is transmitted to the remote diagnosis device. The gateway apparatus according to any one of claims 1 to 3, wherein the predetermined diagnosis process is a process different from a diagnosis process performed based on data acquired from a plurality of gateway apparatuses by the remote diagnosis apparatus. Based on at least one of sensor data acquired from the sensor and a result of executing predetermined processing on the sensor data, it is determined whether or not the sensor is in a third state in which at least a test on the sensor can be executed. If the third state is determined, second sensor data acquired from the sensor with respect to the test data output from the output device by causing the output device connected to the gateway device to output test data. 5. The gateway according to claim 1, further comprising: a test control unit that determines whether or not there is an abnormality based on at least one of a result of executing the predetermined process on the second sensor data. apparatus. When the detection unit does not detect the first state and the second state, the test control unit causes the output device to output the test data in response to an instruction from the remote diagnosis device, Based on at least one of the second sensor data acquired from the sensor with respect to the test data output from the output device and the result of executing the predetermined processing on the second sensor data. The gateway device according to claim 5, wherein presence / absence is determined. The gateway device according to claim 6, wherein the test control unit causes the remote diagnosis device to notify the communication unit of the occurrence of an abnormality when determining that there is at least an abnormality. The sensor is at least one of an acoustic sensor and a vibration sensor;
The gateway apparatus according to claim 1, wherein the predetermined process is a process of extracting feature data from signal waveform data that is the sensor data. A gateway device connected to a sensor and having a communication unit and a data storage unit for connecting to a remote diagnosis device via a network,
Determining whether the communication unit is in a first state in which the communication unit is not connected to the network or a second state in which the communication unit cannot communicate with the remote diagnosis device via the network;
In the first state or the second state, at least one of sensor data acquired from the sensor and a result of executing a predetermined process on the sensor data is stored in the data storage unit. And steps to
Executing predetermined diagnostic processing based on the data stored in the data storage unit;
A program for running

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