JP2022075498A - Information processing device, system, production facility, information processing method, article production method, program, and recording medium - Google Patents

Abstract

To measure a state of a mechanical device with an appropriate timing.SOLUTION: Sensors 102, 103 for measuring a state of a mechanical device is connected to a monitoring node device 104. A signal processing unit 206 executes a measurement task corresponding to a satisfied event condition among a plurality of event conditions associated with a plurality of measurement tasks and can measure a state of the mechanical device by means of the sensor 102, 103. When two or more event conditions are satisfied among the plurality of event conditions, the signal processing unit 206 can execute a priority process for executing two or more measurement tasks corresponding to the two or more event conditions in descending order of priority.SELECTED DRAWING: Figure 2

Description

The present invention relates to information processing.

In recent years, predictive maintenance has been carried out in which the state of a mechanical device incorporated in a production facility or the like is measured by a sensor, and the parts of the mechanical device are replaced, repaired or updated according to the deteriorated state of the mechanical device. Predictive maintenance can reduce unnecessary replacement of parts and labor costs. In addition, when measuring the state of mechanical devices incorporated in production equipment, etc., by installing sensors in the mechanical devices and collecting measurement data, failures and abnormalities in the mechanical devices can be detected at an early stage, and the mechanical devices can be detailed. Can be diagnosed.

Patent Document 1 proposes a device capable of connecting a plurality of sensors and acquiring sensing data, that is, measurement data at a sensing cycle assigned to each of the plurality of sensors. This Patent Document 1 describes that when the sensing timings are the same, packet collision is prevented by shifting the sensing timing of the sensor having a long sensing cycle from the sensing timing of the sensor having a short sensing cycle. Has been done.

Japanese Unexamined Patent Publication No. 2010-220036

By the way, in the diagnosis of mechanical devices, there are some that require urgency for measurement. However, the technique described in Patent Document 1 focuses on the prevention of packet collision, and does not focus on whether or not the measurement requires urgency. Therefore, for example, when considering the diagnosis of a mechanical device, the timing of measurement is not always appropriate.

Therefore, an object of the present invention is to measure the state of a mechanical device at an appropriate timing.

The information processing device of the present invention is an information processing device to which a sensor for measuring the state of a mechanical device is connected, and is an event condition that is satisfied among a plurality of event conditions associated with a plurality of measurement tasks. A processing unit capable of executing a corresponding measurement task and measuring the state of the mechanical device using the sensor is provided, and the processing unit is used when two or more event conditions out of the plurality of event conditions are satisfied. In addition, it is possible to execute a priority process for executing two or more measurement tasks corresponding to the two or more event conditions in descending order of priority.

The system of the present invention includes a gateway device, a sensor for measuring the state of a mechanical device, and a node device connected to the sensor and capable of transmitting measurement data to the gateway device by wireless communication or wired communication. , The node device can execute a measurement task corresponding to the satisfied event condition among a plurality of event conditions associated with the plurality of measurement tasks, and measure the state of the mechanical device using the sensor. A processing unit is provided, and when two or more event conditions among the plurality of event conditions are satisfied, the processing unit has a high priority for two or more measurement tasks corresponding to the two or more event conditions. It is characterized in that it is possible to execute priority processes to be executed in order.

In the information processing method of the present invention, the processing unit executes a measurement task corresponding to the satisfied event condition among a plurality of event conditions associated with the plurality of measurement tasks, and uses a sensor to perform a state of the mechanical device. This is an information processing method for measuring the above, and when the processing unit satisfies two or more event conditions among the plurality of event conditions, two or more measurement tasks corresponding to the two or more event conditions are performed. Is executed in descending order of priority.

According to the present invention, the state of the mechanical device can be measured at an appropriate timing.

The schematic diagram of the production equipment which concerns on 1st Embodiment. The block diagram of the monitoring node apparatus which concerns on 1st Embodiment. Explanatory drawing which shows an example of the task table in 1st Embodiment. The flowchart of the information processing method which concerns on 1st Embodiment. The flowchart which shows the processing method which calculates the execution time in 1st Embodiment. (A) is an explanatory diagram showing an example of a first table in the first embodiment, and (b) is an explanatory diagram showing an example of a second table in the first embodiment. An explanatory diagram showing a priority table used in the information processing method according to the second embodiment. The flowchart which shows the method of obtaining the signal processing time which concerns on 3rd Embodiment. The flowchart which shows the method of obtaining the output time which concerns on 4th Embodiment. An explanatory diagram showing a setting screen for setting a priority according to a fifth embodiment. An explanatory diagram showing a setting screen for setting a priority according to a fifth embodiment. An explanatory diagram showing a setting screen for setting a priority according to a sixth embodiment. An explanatory diagram showing a setting screen for setting a priority according to a sixth embodiment. The flowchart of the information processing method which concerns on 7th Embodiment. An explanatory diagram showing a setting screen for setting a priority according to a seventh embodiment. The flowchart of the information processing method which concerns on 8th Embodiment. An explanatory diagram showing a setting screen for setting a priority according to an eighth embodiment.

Hereinafter, embodiments for carrying out the present invention will be described in detail with reference to the drawings.

[First Embodiment]
FIG. 1 is a schematic diagram of the production equipment 1000 according to the first embodiment. The production equipment 1000 is equipment used for manufacturing the article W, and is arranged in a factory or the like. The production equipment 1000 includes a mechanical device 101 to be monitored, and a monitoring system 100 for monitoring the monitoring target, which is an example of the system. The mechanical device 101 is, for example, a pump or the like. The production facility 1000 including the mechanical device 101 manufactures the article W by a predetermined manufacturing method while monitoring by measuring the state of the mechanical device 101 by the monitoring system 100. The article W may be a finished product or an intermediate product in the process of being manufactured.

The monitoring system 100 is used for predictive maintenance of the mechanical device 101. By monitoring the mechanical device 101 with the monitoring system 100, it is possible to detect a failure or abnormality of the mechanical device 101 at an early stage and make a detailed diagnosis of the mechanical device 101.

The monitoring system 100 includes at least one sensor used for monitoring the mechanical device 101. In this embodiment, the at least one sensor is a plurality of sensors 102, 103, for example, two sensors 102, 103. Further, the monitoring system 100 includes a monitoring node device 104 which is an example of a monitoring device and an example of a node device, a monitoring gateway device 106 which is an example of a gateway device, a database 108, and a terminal 109.

Each of the sensors 102 and 103 is a sensor for measuring the state of the mechanical device 101, and is provided in the mechanical device 101. Each of the sensors 102 and 103 is a sensor capable of outputting sensor data quantifying the state of the mechanical device 101 as a physical quantity, such as a vibration sensor, an acceleration sensor, a pressure sensor, an optical sensor, a torque sensor, and a temperature sensor. For example, a vibration sensor outputs the strength of vibration as a voltage which is a physical quantity.

The monitoring node device 104 has a terminal portion 105 to which a sensor can be connected. The terminal portion 105 includes a plurality of channel terminals to which a plurality of sensors can be connected. In the present embodiment, of the plurality of channel terminals of the terminal portion 105, the sensor 102 is connected to the channel terminal 1ch, and the sensor 103 is connected to another channel terminal 2ch. The sensor 102 and the channel terminal 1ch are connected by, for example, a cable 121 including a power line, a ground line, and a signal line. The sensor 103 and the channel terminal 2ch are connected by, for example, a cable 122 including a power line, a ground line, and a signal line.

One or more monitoring node devices 104 are installed in the monitoring system 100 as needed. In the present embodiment, the case where the monitoring system 100 includes one monitoring node device 104 will be described, but a plurality of monitoring node devices may be provided. For example, the monitoring system 100 may include as many monitoring node devices as there are monitoring targets. An individual node number is assigned to the monitoring node device 104.

The monitoring node device 104 has a communication unit 110, and the monitoring gateway device 106 has a communication unit 111. These communication units 110 and 111 enable the monitoring node device 104 and the monitoring gateway device 106 to communicate with each other. The monitoring node device 104 can transmit measurement data to the monitoring gateway device 106 by wireless communication or wired communication. The monitoring gateway device 106 can collect information from the monitoring node device 104.

The communication method of the communication units 110 and 111 may be wireless communication such as LPWA (Low Power Wide Area) or wireless LAN, or wired communication such as Ethernet (registered trademark) or field network. Further, the communication units 110 and 111 have both wireless communication and wired communication functions, and may selectively execute either wireless communication or wired communication. In the first embodiment, the communication units 110 and 111 have both wireless communication and wired communication functions, and are configured to selectively execute either wireless communication or wired communication. There is.

The monitoring gateway device 106 is set within a range in which it can communicate with the monitoring node device 104. The measurement data generated by the measurement in the monitoring node device 104 is collected in the monitoring gateway device 106 by the communication units 110 and 111.

The monitoring gateway device 106, the database 108, and the terminal 109 are connected to the network 107. The network 107 may be a dedicated network in a factory or a wide area network such as the Internet. The measurement data collected by the monitoring gateway device 106 is stored in the database 108, which is an example of the data storage device, via the network 107. The terminal 109 is a computer provided with a display. The terminal 109 may be provided with a speaker, if necessary.

The monitoring gateway device 106 may be mounted on the database 108 or the terminal 109 as a process of software of the database 108 or the terminal 109. Further, the database 108 may be either a storage device or a storage medium. Further, the terminal 109 may be configured so that the results stored in the database 108 can be confirmed by the operation of the user. Further, the terminal 109 may be configured to notify the user when an abnormality occurs in the mechanical device 101 by a notification means such as an alert or an e-mail transmission, if necessary.

FIG. 2 is a block diagram of the monitoring node device 104 according to the first embodiment. In the first embodiment, the monitoring node device 104 is an information processing device, that is, a computer. The monitoring node device 104 includes a terminal unit 105, a trigger generation unit 202, a power supply unit 204, a signal input unit 205 which is an example of an AD conversion unit, a signal processing unit 206 which is an example of a processing unit, an output unit 207, and a storage unit. It is equipped with 210. These are connected by a bus 220. The storage unit 210 is a storage device such as an HDD or SSD.

A battery 203 is connected to the power supply unit 204. The battery 203 may be incorporated in the monitoring node device 104 or may be attached to and detached from the monitoring node device 104. Further, the battery 203 may be outside the monitoring node device 104. The power supply unit 204 supplies power to the sensors 102 and 103 at arbitrary timings according to the program. Each of the sensors 102 and 103 can be sensed by being supplied with electric power, and outputs an analog signal which is a sensing signal obtained by the sensing.

The signal input unit 205 is configured to be capable of analog-to-digital conversion processing, that is, AD conversion processing, in which analog signals are input from the sensors 102 and 103 and the analog signals are converted into digital signals. The signal input unit 205 may be built in each of the sensors 102 and 103. As an AD conversion process, an analog signal acquired from a designated channel terminal is sampled at a designated sampling frequency and a designated sampling number to generate a digital signal.

The signal processing unit 206 is also a control unit that collectively controls the trigger generation unit 202, the power supply unit 204, the signal input unit 205, the output unit 207, and the storage unit 210. The signal processing unit 206 can execute various processes by executing the control program 230, which is an example of the program, which is composed of, for example, a CPU and is stored in the storage unit 210. That is, the signal processing unit 206 can measure the state of the mechanical device 101 using the sensors 102 and 103 by executing the measurement task described later.

The measurement task includes an AD conversion processing task in which the signal input unit 205 performs AD conversion, a signal processing task in which the digital signal generated by the signal input unit 205 is processed to generate measurement data, and a measurement in the output unit 207. Includes output processing tasks to output data.

The signal processing includes a plurality of processing contents. Hereinafter, specific examples of a plurality of processing contents will be described, but the present invention is not limited to the following processing contents. Further, the signal processing unit 206 may have all the functions of the plurality of processing contents shown below, but may have only the necessary functions.

Signal processing includes, for example, relay processing, FFT processing, partial overall processing, envelope processing, frequency filtering processing, differentiation processing, integration processing, wavelet processing, mean value processing, standard deviation processing, maximum value processing, and minimum value processing. Is done. Further, the signal processing includes, for example, peak-to-peak processing, peak hold processing, effective value processing, crest rate processing, waveform rate processing, impulse coefficient processing, margin coefficient processing, and machine learning model inference processing. The signal processing unit 206 executes the processing content selected from the plurality of processing contents. When the selected processing contents are two or more, the signal processing unit 206 executes the two or more selected processing contents in the designated order.

Hereinafter, each processing content will be described. The relay process is a process of passing the input digital signal to the output unit 207 as it is. The FFT process is a process of decomposing an input digital signal into frequency components. The partial overall processing is a processing for obtaining the sum of products by limiting the frequency range of the FFT-processed frequency components. The envelope processing is a processing for performing an envelope processing on an input digital signal. The frequency filter process is a process of removing unnecessary signal components by setting a frequency of an input digital signal and passing it through a low-pass filter, a high-pass filter, or a band-pass filter. Differentiation processing is processing for differentiating an input digital signal. The integration process is a process of integrating the input digital signal. The wavelet process is a process of decomposing an input digital signal into a frequency component and a time component. The average value processing is a process of obtaining an average value for an input digital signal. The standard deviation process is a process for obtaining the standard deviation of the input digital signal. The maximum value processing is a processing for obtaining the maximum value for an input digital signal. The minimum value processing is a processing for obtaining a minimum value for an input digital signal. Peak-to-peak processing is processing for obtaining the difference between the maximum value and the minimum value of an input digital signal. The peak hold process is a process of obtaining a maximum value from an input digital signal within a predetermined period. The effective value processing is a process for obtaining an effective value for an input digital signal. The wave height rate processing is a process for obtaining the wave height rate by dividing the maximum value of the input digital signal by the effective value. The waveform rate processing is a process for obtaining the waveform rate by dividing the effective value of the input digital signal by the average value. The impulse coefficient processing is a process for obtaining the impulse coefficient by dividing the maximum value of the input digital signal by the average value of the absolute values of the digital signals. The margin coefficient processing is a process for obtaining the margin coefficient by dividing the maximum value of the input digital signal by the square of the average value of the square roots of the digital signal. The machine learning model inference process is a process of obtaining an output based on an input digital signal and a machine learning model. A machine learning model is generated by having a computer read training data and having the computer analyze the data to determine classification and identification rules. The generated machine learning model is preliminarily incorporated into the monitoring node device 104.

As described above, the signal processing unit 206 executes signal processing of the selected processing content for the digital signal and generates measurement data. When the processing content of the selected signal processing is relay processing, the digital signal acquired by the signal processing unit 206 is output to the output unit 207 as measurement data, and is therefore the same as the measurement data. Although there is no change in content between the digital signal and the measurement data, the relay process is included in the process of generating the measurement data.

The output unit 207 is a device capable of output processing for outputting the measurement data generated by the signal processing unit 206. That is, the output unit 207 can output the measurement data by executing the output process. The output unit 207 includes a communication unit 110 and a general-purpose input / output unit 212. The communication unit 110 includes a communication module 208 for wireless communication and a communication module 209 for wired communication. The communication module 208 can wirelessly output the measurement data. In this case, the monitoring gateway device 106 acquires measurement data as radio waves from the monitoring node device 104. The communication module 209 can output the measurement data to the network 107. In this case, the monitoring gateway device 106 acquires measurement data from the monitoring node device 104 via the network 107.

Although the output unit 207 is configured to be capable of inputting and outputting signals, it may be configured to be capable of outputting at least measurement data. Further, depending on the communication method adopted in the monitoring system 100, either the communication module 208 or the communication module 209 may be omitted in the output unit 207.

Further, the output unit 207 can also output the measurement data to the storage unit 210. Further, the output unit 207 can also output the measurement data to an external device (for example, an external storage) connected to the general-purpose input / output unit 212. Further, as the output process, the output unit 207 outputs the node number information for identifying the individual of the monitoring node device 104 and the task number information of the measurement task executed by the signal processing unit 206 together with the measurement data. For example, the output unit 207 outputs these data to the monitoring gateway device 106 in the order of node number information, task number information, and measurement data by wireless communication or wired communication.

The trigger generation unit 202 generates a trigger signal in the signal processing unit 206 when an event occurs. That is, when an event occurs, the trigger generation unit 202 outputs a trigger signal corresponding to the generated event. The trigger signal contains task number information.

Here, "an event occurs" means that the condition for starting the measurement is satisfied. Hereinafter, this condition is referred to as an event condition. In the present embodiment, the condition for starting the measurement, that is, the event condition is set in the trigger generation unit 202 by the signal processing unit 206. Further, the event condition set by the signal processing unit 206 may be only one or may be plural. When a plurality of event conditions are set in the trigger generation unit 202 by the signal processing unit 206, the trigger generation unit 202 signals the trigger signals corresponding to the satisfied event conditions among the plurality of event conditions in the order in which they are satisfied. Output to the processing unit 206.

The event conditions that can be set by the signal processing unit 206 include time conditions such as a measurement time interval or a measurement start time. Therefore, the trigger generation unit 202 has a timer 216 as an example of the timekeeping unit. It is assumed that the timer 216 is provided in the trigger generation unit 202, but the present invention is not limited to this. The timer 216 may be provided anywhere in the monitoring node device 104. The trigger generation unit 202 can determine whether or not the time condition is satisfied by the timekeeping by the timer 216. Further, in the present embodiment, the event conditions that can be set by the signal processing unit 206 include conditions other than the time conditions. Examples of conditions other than the time condition include an external trigger input signal, a state change of the monitoring node device 104, a call from another task in the monitoring node device 104, a call from the monitoring gateway device 106, and a call from another monitoring node device. There is.

When the event condition is the measurement time interval, the event occurs at a predetermined fixed time interval. When the event condition is the measurement time, the event occurs at a predetermined time, and if the day of the week is also specified, the event occurs at the time of the predetermined day of the week. When the event condition is an external trigger input signal, an event occurs due to a signal change of the general-purpose I / O unit 212. When the event condition is a change in the state of the monitoring node device 104, an event occurs when there is a change in the battery level of the monitoring node device 104 or a change in the temperature sensor in the monitoring node device 104. When the event condition is called from another task in the monitoring node device 104, the event is generated by being called from the output condition of a task other than the measurement task in the same monitoring node device 104. When the event condition is a call from the monitoring gateway device 106, an event occurs when a task execution instruction is received from the monitoring gateway device 106. When the event condition is a call from another monitoring node device, the event is generated by being called by the output processing of the other monitoring node device.

The processing contents of the AD conversion processing of the signal input unit 205, the signal processing of the signal processing unit 206, and the output processing of the output unit 207, which are associated with each of the plurality of event conditions, are as measurement tasks in the task table 240. Recorded in. The task table 240 is stored in, for example, the storage unit 210. The signal processing unit 206 refers to the task table 240 and performs measurement using the sensor specified in the measurement task defined in the task table 240. The storage location of the task table 240 is preferably, but is not limited to, the storage unit 210 inside the monitoring node device 104. For example, the task table 240 may be stored in an external storage device outside the monitoring node device 104. The information in the task table 240 is set by a person such as a worker or a user.

An external device can be connected to the general-purpose input / output unit 212. As an example of the external device, the recording medium 214 on which the control program 230 is recorded can be connected to the general-purpose input / output unit 212. The recording medium 214 is a computer-readable non-temporary recording medium on which the control program 230 is recorded. The control program 230 recorded on the recording medium 214 can be stored in the storage unit 210 via the general-purpose input / output unit 212. The recording medium 214 may be a recording disk such as a magnetic disk or an optical disk (for example, a CD-ROM or a DVD-ROM), or a storage device such as a flash memory (for example, an SD card).

FIG. 3 is an explanatory diagram showing an example of the task table 240 in the first embodiment. The task table 240 includes a plurality of task number information 301 ₁ , 301 ₂ , 301 ₃ , a plurality of event conditions 302 ₁ , 302 ₂ , 302 ₃ , and a plurality of priority information 303 ₁ , 303 ₂ , 303 ₃ . Includes measurement tasks 310 ₁ , 310 ₂ , 310 ₃ , and so on. In the task table 240, the task number information 301 ₁ , the event condition 302 ₁ , the priority information 303 ₁ , and the measurement task 310 ₁ are associated with each other. In the task table 240, the task number information 301 ₂ , the event condition 302 ₂ , the priority information 303 ₂ , and the measurement task 310 ₂ are associated with each other. In the task table 240, the task number information 301 ₃ , the event condition 3023, the priority information 303 ₃ , and the measurement task _{310 3 are} associated with each other. That is, priority information 303 ₁ to 303 ₃ are assigned to each of the plurality of measurement tasks 310 ₁ to 310 ₃ .

Task number information 301 ₁ to 301 ₃ are number information such as 1, 2, and 3. Priority information 303 ₁ to 303 ₃ are information indicating the priority by numbers such as 1, 2, and 3. In the example of FIG. 3, the smaller the number, the higher the priority. It should be noted that these are examples, and the present invention is not limited to these. For example, the higher the number, the higher the priority. Here, measurement tasks with relatively high urgency are assigned high priority.

Each measurement task 310 ₁ to 310 ₃ includes three tasks. Measurement task 310 ₁ includes task 304 ₁ , task 305 ₁ , and task 306 ₁ . Measurement task 310 ₂ includes task 304 ₂ , task 305 ₂ , and task 306 ₂ . Measurement task 310 ₃ includes task 304 ₃ , task 305 ₃ , and task 306 ₃ . Each task 304 ₁ to 304 ₃ is a first task in which the signal input unit 205 executes the AD conversion process. Each task 305 ₁ to 305 ₃ is a second task in which the signal processing unit 206 performs signal processing on the digital signal to generate measurement data. Each task 306 ₁ to 306 ₃ is a third task for executing an output process in which the output unit 207 outputs measurement data.

The task table 240 is configured to include a plurality of items 301 to 306. Item 301 is an item in which task number information 301 ₁ to 301 ₃ is registered. Item 302 is an item in which event conditions 302 ₁ to 302 ₃ are registered. Item 303 is an item in which priority information 303 ₁ to 303 ₃ is registered. Items 304 to 306 are items to which measurement tasks 310 ₁ to 310 ₃ are registered. Specifically, the item 304 is an item in which the AD conversion processing tasks 304 ₁ to 304 ₃ in the signal input unit 205 are registered. Item 305 is an item in which the signal processing tasks 305 ₁ to 305 ₃ (processing contents) in the signal processing unit 206 are registered. Item 306 is an item in which tasks 306 ₁ to 306 ₃ (output format) of output processing in the output unit 207 are registered.

As described above, in the task table 240, a plurality of measurement tasks corresponding to the plurality of event conditions are registered in advance together with the task number information and the priority information.

FIG. 4 is a flowchart showing a procedure of a method in which the monitoring node device 104 according to the first embodiment monitors the mechanical device 101, that is, an information processing method. When the power is turned on in the monitoring node device 104, that is, when the monitoring node device 104 is activated, the monitoring node device 104 starts a control flow for monitoring the mechanical device 101. In the present embodiment, the signal processing unit 206 refers to the task table 240 and executes the measurement task corresponding to the established event conditions.

First, when the monitoring node device 104 is started, the signal processing unit 206 reads the task table 240 registered in advance in the storage unit 210 (S101).

The signal processing unit 206 registers the plurality of event conditions 302 ₁ to 302 ₃ registered in the task table 240 in the trigger generation unit 202 in association with the task number information 301 ₁ to 301 ₃ (S102). If there is an event condition that is satisfied among the plurality of event conditions 302 ₁ to 302 ₃ , the trigger generation unit 202 outputs a trigger signal corresponding to the event condition that is satisfied. The trigger signal output by the trigger generation unit 202 includes task number information associated with the satisfied event condition so that the signal processing unit 206 can determine which event condition is satisfied.

The signal processing unit 206 determines whether or not there is an event condition that is satisfied among the plurality of event conditions 302 ₁ to 302 ₃ read in step S101, that is, whether or not a trigger signal is received from the trigger generation unit 202 (S103). ). If there is no satisfied event condition, that is, if the trigger signal is not received from the trigger generation unit 202 (S103: NO), the signal processing unit 206 continues the determination process in step S103. That is, the signal processing unit 206 is in the standby state of the trigger signal.

The signal processing unit 206 determines whether or not two or more event conditions are satisfied at the same time when the trigger signal is received from the trigger generation unit 202, that is, when there is an event condition that is satisfied (S103: YES) (S104). .. Hereinafter, two or more event conditions are expressed as N event conditions. N is an integer of 2 or more.

When N event conditions are not satisfied at the same time (S104: NO), the signal processing unit 206 shifts to the processing of step S107. In this case, there is only one event condition that is satisfied. The signal processing unit 206 reads the measurement task corresponding to this one satisfied event condition from the task table 240 (S107). For example, if the event condition 302 ₁ is satisfied, the signal processing unit 206 reads the measurement task 310 ₁ corresponding to the event condition 302 ₁ . The measurement task 310 ₁ includes an AD conversion task 304 ₁ executed by the signal input unit 205, a signal processing task 305 ₁ executed by the signal processing unit 206, and an output processing task 306 ₁ executed by the output unit 207. include. Hereinafter, the case where the measurement task read by the signal processing unit 206 in step S107 is the measurement task 3101 will be described as _an example. The signal processing unit 206 processes in the same manner even if the measurement task for which the event condition is satisfied is a measurement task _other than the measurement task 3101.

The signal processing unit 206 instructs the signal input unit 205 to perform task 304 ₁ . The signal input unit 205 executes the AD conversion process according to the task 304 ₁ (S108). As a result, the signal input unit 205 converts the analog signal from the sensor into a digital signal and outputs the digital signal to the signal processing unit 206. The signal processing unit 206 executes signal processing for the digital signal received from the signal input unit 205 according to task 305 ₁ (S109). The signal processing unit 206 outputs the measurement data to the output unit 207, and instructs the output unit 207 to perform the task 306 ₁ . The output unit 207 executes the output process according to the task 306 ₁ (S110). As a result, the output unit 207 outputs the measurement data.

The signal processing unit 206 determines whether or not all the measurement tasks have been executed (S111). Since there is only one measurement task, all the measurement tasks are being executed (S111: YES), and the signal processing unit 206 returns to the process of step S103.

When N event conditions are simultaneously satisfied in step S104 (S104: YES), the signal processing unit 206 sets N measurement tasks corresponding to the N event conditions in order of priority in steps S105 to S113. Execute the priority process to be executed.

Here, in the present embodiment, packet communication is performed between the trigger generation unit 202 and the signal processing unit 206 to collectively communicate a group of information. That is, a packet is used as a trigger signal. When the N event conditions are satisfied at the same time, the trigger generation unit 202 packetizes and outputs the N task number information corresponding to the N event conditions. In this case, the packet output by the trigger generation unit 202 may be one packet or a plurality of divided packets. As a result, the signal processing unit 206 can acquire the task number information associated with the N event conditions that are simultaneously satisfied from the trigger generation unit 202.

In step S104, it is preferable that the signal processing unit 206 determines whether or not N event conditions are satisfied at the same time, but it may be substantially simultaneous instead of simultaneous. For example, it is possible that a plurality of event conditions are satisfied in succession. In this case, although a plurality of event conditions do not occur at the same time, it may be appropriate to treat a plurality of event conditions that occur at substantially the same time as if they occurred at the same time. Here, the fact that a plurality of event conditions are satisfied substantially at the same time means that the time interval between the first event condition and the last event condition among the plurality of event conditions that are continuously satisfied is a predetermined time or less. The predetermined time is, for example, 0.5 s.

That is, when the event condition is satisfied, the trigger generation unit 202 starts counting from the timing when the event condition is satisfied and is in the standby state until a predetermined time, for example, 0.5 s elapses. If another event condition is satisfied in this standby state, the trigger generation unit 202 includes the task number information corresponding to the event condition satisfied earlier and the task number information corresponding to the event condition satisfied later in the packet. .. Then, the trigger generation unit 202 outputs the packet to the signal processing unit 206. As a result, the signal processing unit 206 can determine that the N event conditions are satisfied at substantially the same time. In this way, the trigger generation unit 202 can notify the signal processing unit 206 of information on N event conditions that are satisfied substantially at the same time by providing a standby time that is a predetermined time. If simultaneity is important, no waiting time may be provided. Since there is no waiting time, the trigger generation unit 202 can notify the signal processing unit 206 of information indicating that N event conditions are satisfied at the same time.

When a plurality of (N) event conditions are satisfied simultaneously (or substantially simultaneously) in step S104 (S104: YES), the signal processing unit 206 arranges the N measurement tasks in descending order of priority (S105). That is, the signal processing unit 206 determines the execution order of the N measurement tasks.

Next, the signal processing unit 206 determines whether or not there are at least two measurement tasks having the same priority in the N measurement tasks (S106). Hereinafter, at least two measurement tasks are referred to as M measurement tasks. M is an integer of 2 or more and N or less.

If there are no M measurement tasks having the same priority among the N measurement tasks (S106: NO), the signal processing unit 206 proceeds to the process of step S107. Then, the signal processing unit 206 reads the N measurement tasks in the order in which they are arranged, and executes each measurement task (S107 to S111). When all the measurement tasks are executed (S111: YES), the signal processing unit 206 returns to the processing of step S103. As a result, when the N event conditions are satisfied simultaneously (or substantially simultaneously), the signal processing unit 206 executes the N measurement tasks corresponding to the N event conditions in descending order of priority.

In step S106, when the N measurement tasks include M measurement tasks having the same priority (S106: YES), the signal processing unit 206 shifts to the process of step S112.

The signal processing unit 206 estimates, that is, calculates the execution time corresponding to each of the M measurement tasks having the same priority (S112). The signal processing unit 206 calculates the execution time of each measurement task based on the number of samplings, the sampling frequency, the proportionality constant K, and the proportionality constant L, which will be described later. This estimation calculation is performed before executing the M measurement tasks in the subsequent steps S107 to S111. The signal processing unit 206 arranges M measurement tasks in ascending order of execution time (S113).

Then, the signal processing unit 206 reads the N measurement tasks in the order in which they are arranged, and executes each measurement task (S107 to S111). When all the measurement tasks are executed (S111: YES), the signal processing unit 206 returns to the processing of step S103. As described above, when the N measurement tasks include M measurement tasks having the same priority, the signal processing unit 206 executes the M measurement tasks when executing the N measurement tasks. Execute in ascending order.

The information processing method described above will be described with reference to a specific example of the task table 240 shown in FIG. The timer 216 of the trigger generation unit 202 starts timing from the time when the power of the monitoring node device 104 is turned on or the time when the monitoring node device 104 is reset.

The event condition 302 ₁ is satisfied once every 60 minutes, that is, every time 60 minutes elapse. Hereinafter, it is assumed that only the event condition 302 ₁ is satisfied. When the event condition 302 ₁ is satisfied (S103: YES), the trigger signal including the task number information 301 ₁ , that is, the information of "1" is transmitted from the trigger generation unit 202 to the signal processing unit 206. The signal processing unit 206 executes the measurement task 310 ₁ corresponding to the task number information 301 ₁ . The measurement task 310 ₁ includes task 304 ₁ , task 305 ₁ , and task 306 ₁ .

First, the signal processing unit 206 reads the measurement task 310 ₁ from the task table 240 (S107), and instructs the signal input unit 205 to perform the task 304 ₁ . According to task 304 ₁ , the signal input unit 205 converts the analog signal from the channel terminal ch1 into a digital signal with a sampling frequency of 10 kHz, an input range of 0 to 5 V, a sampling number of 5,000 points, and an amplification factor of 50 times (S108). ).

Next, the signal processing unit 206 performs signal processing on the digital signal according to task 305 ₁ . Physically, the signal processing unit 206 performs frequency filter processing and average value processing on the digital signal (S109). Here, it is assumed that the numerical value of the average value is, for example, the threshold value “50” or less.

The signal processing unit 206 instructs the output unit 207 to perform task 306 ₁ . In task 306 ₁ , "wireless" is selected. Therefore, the communication module 208 of the output unit 207 transmits the measurement data to the monitoring gateway device 106 by wireless communication (S110).

Next, it is assumed that the event condition 302 ₁ and the event condition 302 ₂ are satisfied at the same time. Here, the priority is assumed to be higher as the number is smaller. The event condition 302 ₂ is satisfied once every 24 hours, that is, every time 24 hours elapse.

When the event condition 302 ₁ and the event condition 302 ₂ are satisfied at the same time, a trigger signal including the task number information 301 ₁ , that is, the information of "1" and the task number information 301 ₂ , that is, the information of "2" is generated. It is transmitted from the unit 202 to the signal processing unit 206.

Since the two event conditions 302 ₁ and 302 ₂ are satisfied at the same time (S104: YES), the signal processing unit 206 determines the priority by referring to the task table 240. The priority of the event condition 302 ₁ is "2", and the priority of the event condition 302 ₂ is "1". Therefore, the priority of the event condition 302 ₂ is higher than the priority of the event condition 302 ₁ . Therefore, the signal processing unit 206 executes the two measurement tasks 310 ₁ and 310 ₂ in the order of priority, that is, the measurement task 310 ₂ and the measurement task 310 ₁ as priority processing. The measurement task 310 ₂ includes task 304 ₂ , task 305 ₂ , and task 306 ₂ .

First, the signal processing unit 206 reads the measurement task 310 ₂ from the task table 240 (S107), and instructs the signal input unit 205 to perform the task 304 ₂ . According to task 304 ₂ , the signal input unit 205 converts the analog signal from the channel terminal ch 2 into a digital signal with a sampling frequency of 54 kHz, an input range of 0 to 5 V, a sampling number of 10,000 points, and an amplification factor of 50 times (S108). ).

Next, the signal processing unit 206 performs signal processing on the digital signal according to task 305 ₂ . Specifically, the signal processing unit 206 performs FFT processing on the digital signal (S109).

The signal processing unit 206 instructs the output unit 207 to perform task 306 ₂ . In task 306 ₂ , "wired" is selected. Therefore, the communication module 209 of the output unit 207 transmits the measurement data to the monitoring gateway device 106 by wire communication (S110).

After executing the measurement task 310 ₂ , the signal processing unit 206 executes the measurement task 310 ₁ (S107 to S110). Since the measurement task 310 ₁ has been described above, the description thereof will be omitted. In this way, the measurement tasks are executed in descending order of priority.

Next, a case where only the event condition 302 ₁ is satisfied and then the event conditions 302 ₂ and 302 ₃ are satisfied at the same time will be described. The priority of the measurement task 310 ₂ corresponding to the event condition 302 ₂ and the priority of the measurement task 310 ₃ corresponding to the event condition 302 ₃ are the same.

First, the signal processing unit 206 executes the measurement task 310 ₁ corresponding to the event condition 302 ₁ . At this time, it is assumed that an abnormality occurs in the mechanical device 101 to be monitored and the numerical value of the average value exceeds the threshold value “50”. When the result of the measurement performed by the task number "1" exceeds a certain threshold value, a more detailed measurement is performed by the task number "3". At this time, it is assumed that the event condition 302 ₃ of the "call" of the task number "3" is satisfied, and at the same time, the event condition 302 ₂ of the "24 hour interval" of the task number "2" is satisfied.

When the event condition 302 ₂ and the event condition 302 ₃ are satisfied at the same time, a trigger signal including the task number information 301 ₂ , that is, the information of "2" and the task number information 301 ₃ , that is, the information of "3" is generated. It is transmitted from the unit 202 to the signal processing unit 206.

Since the two event conditions 302 ₂ and 302 ₃ are satisfied at the same time (S104: YES), the signal processing unit 206 determines the priority with reference to the task table 240. The priority of the measurement task 310 ₂ corresponding to the event condition 302 ₂ is "1", and the priority of the measurement task 310 ₃ corresponding to the event condition 302 ₃ is "1". Therefore, the priority of the measurement task 310 ₂ and the priority of the measurement task 310 ₃ are the same (S106: YES). Therefore, the signal processing unit 206 calculates the execution time required to execute each of the measurement tasks 310 ₂ , 310 ₃ (S112).

Hereinafter, a suitable specific example of the process of calculating the execution time in step S112 will be described. FIG. 5 is a flowchart showing a processing method for calculating the execution time in the first embodiment. FIG. 6A is an explanatory diagram showing an example of the table 251 in the first embodiment, and FIG. 6B is an explanatory diagram showing an example of the table 252 in the first embodiment. The tables 251,252 are stored in the storage unit 210 shown in FIG. Table 251 is the first table, and table 252 is the second table. The information in each table 251,252 is set by a person such as a worker or a user.

Here, the execution time required for the execution of the measurement task 310 ₂ includes the sampling time required for the execution of the task 304 ₂ , the signal processing time required for the execution of the task 305 ₂ , and the output time required for the execution of the task 306 ₂ . The execution time required for the execution of the measurement task 310 ₃ includes the sampling time required for the execution of the task 304 ₃ , the signal processing time required for the execution of the task 305 ₃ , and the output time required for the execution of the task 306 ₃ . The sampling time is the first time, the signal processing time is the second time, and the output time is the third time. In this embodiment, the execution time is calculated by the sum of the sampling time, the signal processing time, and the output time.

The table 251 is a table in which the processing content of the signal processing to be performed by the signal processing unit 206 and the proportionality constant K are associated with each other. The proportionality constant K is the first proportionality constant. The table 252 is a table in which the output format of the output processing to be performed by the output unit 207 and the proportionality constant L are associated with each other. The proportionality constant L is the second proportionality constant.

First, the signal processing unit 206 reads the tables 251,252 from the storage unit 210 (S201, S202). The signal processing unit 206 obtains the sampling time corresponding to each of the measurement tasks 310 ₂ and 310 ₃ based on the sampling frequency and the number of samplings when the signal input unit 205 is made to perform the AD conversion process (S203).

The sampling time is the time required to sample the signal. The signal processing unit 206 calculates the sampling time corresponding to each measurement task 310 ₂ , 310 ₃ by dividing the number of samplings by the sampling frequency. The sampling number and sampling frequency corresponding to the measurement tasks 310 ₂ and 310 ₃ are registered in the tasks 304 ₂ and 304 ₃ . That is, in the example of FIG. 3, the sampling number is 10,000 and the sampling frequency is 54 kHz for both tasks 304 ₂ and 304 ₂ . The sampling time corresponding to each of the measurement tasks 310 ₂ and 310 ₃ can be estimated to be 10,000 / 54 kHz = 0.185 seconds by dividing the number of samples by the sampling frequency.

The signal processing unit 206 obtains the signal processing time based on the number of samplings when the signal input unit 205 is made to perform the AD conversion processing and the proportional constant K corresponding to the processing content of the signal processing (S204). In the present embodiment, the signal processing unit 206 obtains the signal processing time with reference to the table 251.

The signal processing time is the time for performing signal processing on the digital signal obtained from the signal input unit 205, is proportional to the number of samples, and the proportionality constant is K. The proportionality constant K differs depending on the processing content of the signal processing. Therefore, it is necessary to individually set the proportionality constant K according to the processing content. If there are a plurality of monitoring node devices, it is necessary to individually set each of the plurality of monitoring node devices. The correspondence between the processing content and the proportionality constant K is defined in the table 251 shown in FIG. 6A.

In step S204, the signal processing unit 206 calculates the signal processing time corresponding to each of the measurement tasks 310 ₂ and 310 ₃ by multiplying the number of samples and the proportionality constant K.

The sampling numbers corresponding to the measurement tasks 310 ₂ and 310 ₃ are registered in the tasks 304 ₂ and 304 ₃ . That is, in the example of FIG. 3, the number of samplings for both tasks 304 ₂ and 304 ₂ is 10,000.

The processing content of the signal processing in the measurement task 310 ₂ is the FFT processing. Referring to Table 251, the proportionality constant K associated with the FFT process is 2 × 10 ^-4 . The signal processing time corresponding to the measurement task 310 ₂ can be estimated to be 10,000 × 2 × 10 ^-4 = 2 seconds by multiplying the number of samples and the proportionality constant K.

The processing content of the signal processing in the measurement task 3103 is the _average value processing. Referring to Table 251, the proportionality constant K associated with the mean value processing is 2 × 10 ^-5 . The signal processing time corresponding to the measurement task 310 ₃ can be estimated to be 10,000 × 2 × ^10-5 = 0.2 seconds by multiplying the number of samples and the proportionality constant K.

The signal processing unit 206 obtains an output time based on the number of samplings when the signal input unit 205 is subjected to the AD conversion process and the proportionality constant L corresponding to the output format of the output unit 207 (S205). In the present embodiment, the signal processing unit 206 obtains the output time with reference to the table 252.

The output time is the time required for communication, is proportional to the number of samplings, and the proportionality constant is L. The proportionality constant L differs depending on the output format of the measurement data in the output unit 207. That is, the output time differs depending on whether the measurement data is output wirelessly, wiredly, or written to the external storage. Therefore, it is necessary to individually set the proportionality constant L according to the output format. If there are a plurality of monitoring node devices, it is necessary to individually set each of the plurality of monitoring node devices. The correspondence between the output format and the proportionality constant L is defined in the table 252 shown in FIG. 6 (b).

In step S205, the signal processing unit 206 calculates the output time corresponding to each of the measurement tasks 310 ₂ and 310 ₃ by multiplying the number of samples and the proportionality constant L.

The sampling numbers corresponding to the measurement tasks 310 ₂ and 310 ₃ are registered in the tasks 304 ₂ and 304 ₃ . That is, in the example of FIG. 3, the number of samplings for both tasks 304 ₂ and 304 ₂ is 10,000.

The output format in the measurement task 310 ₂ is wired. Referring to Table 252, the proportionality constant L associated with the wire is 2 × 10 ^-5 . The output time corresponding to the measurement task 310 ₂ can be estimated to be 10,000 × 2 × ^10-5 = 0.2 seconds by multiplying the number of samplings and the proportionality constant L.

The output format in the measurement task ₃₁₀₃ is wireless. Referring to Table 252, the proportionality constant L associated with the radio is 1 × 10 ^-4 . The output time corresponding to the measurement task 310 ₃ can be estimated to be 10,000 × 1 × 10 ^-4 = 1 second by multiplying the number of samplings and the proportionality constant L.

From the above, the execution time of the measurement task 310 ₂ is 0.185 + 2 + 0.2 = 2.385 seconds, and the execution time of the measurement task 310 ₃ is 0.185 + 0.2 + 1 = 1.385 seconds. By such a calculation, the signal processing unit 206 obtains the execution time of each of the measurement tasks 310 ₁ and 310 ₂ (S206). In this example, the execution time of the measurement task 310 ₃ is shorter than the execution time of the measurement task 310 ₂ . Therefore, the measurement task 3103 _, which has a short execution time, is executed first.

Although the case where the calculation of the execution time is performed in step S112 after determining YES in step S106 has been described, the present invention is not limited to this. For example, the execution time may be calculated at the timing when the task table 240 and the tables 251,252 are stored in the monitoring node device 104.

As described above, according to the first embodiment, even when N event conditions are satisfied at the same time, N measurement tasks are executed in descending order of priority, and the measurement task with high urgency, that is, the measurement task with high priority. Delay can be prevented. Further, when the N measurement tasks include M measurement tasks having the same priority, the M measurement tasks are executed in ascending order of execution time, so that each of the M measurement tasks is executed. In some cases, the waiting time can be shortened. For example, when there is a measurement task that needs to be surely executed in a specific cycle among the M measurement tasks, the waiting time when executing the measurement task can be shortened. Therefore, according to the first embodiment, the state of the mechanical device 101 can be measured at an appropriate timing.

[Second Embodiment]
The information processing method according to the second embodiment will be described. In the second embodiment, the overall configuration of the production equipment is the same as the overall configuration of the production equipment 1000 of the first embodiment, and the description thereof will be omitted. In the second embodiment, a part of the information processing method is different from the first embodiment.

That is, in the first embodiment, the case where the priority of each measurement task is registered in the task table 240 in advance has been described. That is, a case where a person such as a worker or a user registers a priority corresponding to each of a plurality of measurement tasks in the task table 240 has been described. Second
In the embodiment, a case where the signal processing unit 206 automatically determines the priority of each measurement task will be described. Hereinafter, in the second embodiment, the parts different from the first embodiment will be described in detail, and the description of the same parts will be omitted.

FIG. 7 is an explanatory diagram showing a priority table 260 used in the information processing method according to the second embodiment. In the task table 240 shown in FIG. 3, a plurality of measurement tasks 310 ₁ to 310 ₃ corresponding to the plurality of task number information 301 ₁ to 301 ₃ are registered. Then, in the second embodiment, it is assumed that the task table 240 shown in FIG. 3 does not have the priority item 303 itself, or the priority item 303 is present but the priority information is not registered.

When the N event conditions are satisfied at the same time (S104: YES in FIG. 4), the signal processing unit 206 executes the N measurement tasks corresponding to the N event conditions in descending order of priority. Therefore, in step S105 of FIG. 4, the signal processing unit 206 assigns a priority to N measurement tasks with reference to the priority table 260 shown in FIG. 7. That is, in step S105, the signal processing unit 206 determines the priority of N measurement tasks for which the event conditions are simultaneously satisfied with reference to the priority table 260. Then, the signal processing unit 206 arranges N measurement tasks in descending order of priority. The priority table 260 is stored in advance in the storage unit 210 of FIG. The information in the priority table 260 is set by a person such as a worker or a user.

In the priority table 260, priorities are assigned to each processing content of signal processing that can be executed by the signal processing unit 206. That is, in the priority table 260, the processing content of the signal processing and the priority are associated with each other.

For example, as shown in FIG. 7, in priority 1, those that do not require much time for signal processing and communication, such as maximum value processing, minimum value processing, and average value processing, are registered. In the priority 3, those that require a relatively long time for signal processing and communication, such as FFT processing, are registered. By registering the priority in this way, when N event conditions are duplicated, the measurement task that does not require time for processing is executed with priority over the measurement task that takes time for processing. .. As a result, it is possible to prevent the execution of the subsequent measurement task from being stagnant, that is, the waiting time for executing the subsequent measurement task from becoming long.

The format of the priority table 260 is not particularly limited, but the csv format is preferable. As described above, even if the priority is not registered in advance in the task table 240, the signal processing unit 206 can determine the execution order of N measurement tasks with reference to the priority table 260. In this way, the signal processing unit 206 automatically determines the priority of each measurement task, so that the work of assigning the priority to each measurement task by a person can be omitted, and the workload of the person can be reduced. can.

[Third Embodiment]
The information processing method according to the third embodiment will be described. In the third embodiment, the overall configuration of the production equipment is the same as the overall configuration of the production equipment 1000 of the first embodiment, and the description thereof will be omitted. In the third embodiment, a part of the information processing method is different from the first embodiment.

That is, in the first embodiment, the case where the proportionality constant K is registered in the table 251 in advance has been described. That is, a case where a person such as a worker or a user registers the proportionality constant K in the table 251 has been described. In the third embodiment, a case where the signal processing unit 206 automatically registers the proportionality constant K will be described. Hereinafter, in the third embodiment, the parts different from the first embodiment will be described in detail, and the description of the same parts will be omitted.

In step S112 shown in FIG. 4, the signal processing unit 206 calculates the execution time, and at that time, obtains the signal processing time which is the second time included in the execution time. FIG. 8 is a flowchart showing a method of obtaining the signal processing time according to the third embodiment.

First, the signal processing unit 206 reads the table 251 having the proportionality constant K, which is the first table, from the storage unit 210 (S301). The signal processing unit 206 determines whether or not the proportionality constant K corresponding to the processing content of the signal processing included in each of the M measurement tasks in the task table 240 is registered in the table 251 (S302). If registered (S302: YES), the signal processing unit 206 calculates the signal processing time for each of the M measurement tasks with reference to the table 251 (S303).

If even one proportionality constant K is not registered (S302: NO), the signal processing unit 206 sets the signal processing time as the default value for the processing content in which the proportionality constant K is not registered, and performs calculation processing. It ends (S304), and steps S113 and subsequent steps in FIG. 4 are executed. Then, the signal processing unit 206 starts measuring the actual signal processing time when the processing content in which the proportionality constant K is not registered is actually executed in step S109 (S305). The signal processing unit 206 executes signal processing (S306), and when the signal processing is completed, ends the measurement of the signal processing time (S307). As a result, the actual signal processing time according to the processing content of the signal processing is measured.

The signal processing unit 206 calculates the proportionality constant K corresponding to the processing content of the signal processing by dividing the measured signal processing time by the number of samplings set for the measurement task (S308). Then, the signal processing unit 206 records the calculated proportionality constant K in the table 251 in association with the processing content (S309). As described above, the signal processing unit 206 registers the proportionality constant K in the table 251 in association with the processing content of the signal processing, based on the actually measured signal processing time.

By the above processing operation, the proportionality constant K that has not been registered in the table 251 is registered. As a result, a person such as a worker or a user can reduce the work of registering the proportionality constant K in the table 251 and reduce the work load of the person.

[Fourth Embodiment]
The information processing method according to the fourth embodiment will be described. In the fourth embodiment, the overall configuration of the production equipment is the same as the overall configuration of the production equipment 1000 of the first embodiment, and the description thereof will be omitted. In the fourth embodiment, a part of the information processing method is different from the first embodiment.

That is, in the first embodiment, the case where the proportionality constant L is registered in the table 252 in advance has been described. That is, a case where a person such as a worker or a user registers the proportionality constant L in the table 252 has been described. In the fourth embodiment, a case where the signal processing unit 206 automatically registers the proportionality constant L will be described. Hereinafter, in the fourth embodiment, the parts different from the first embodiment will be described in detail, and the description of the same parts will be omitted.

In step S112 shown in FIG. 4, the signal processing unit 206 calculates the execution time, and at that time, obtains the output time, which is the third time included in the execution time. FIG. 9 is a flowchart showing a method of obtaining the output time according to the fourth embodiment.

First, the signal processing unit 206 reads the table 252 of the proportionality constant L, which is the second table, from the storage unit 210 (S401). The signal processing unit 206 determines whether or not the proportionality constant L corresponding to the output format of the output processing included in each of the M measurement tasks in the task table 240 is registered in the table 252 (S402). If registered (S402: YES), the signal processing unit 206 calculates the output time for each of the M measurement tasks with reference to the table 252 (S403).

If even one proportionality constant L is not registered (S402: NO), the signal processing unit 206 sets the output time as the default value for the output format in which the proportionality constant L is not registered, and ends the calculation process. (S404), and the steps S113 and subsequent steps in FIG. 4 are executed. Then, the signal processing unit 206 starts measuring the actual output time when actually outputting the measurement data in step S110 in the output format in which the proportionality constant L is not registered (S405). The signal processing unit 206 executes the output process (S406), and when the output process is completed, ends the measurement of the output time (S407). As a result, the actual output time according to the output format is measured.

The signal processing unit 206 calculates the proportionality constant L corresponding to the output format by dividing the measured output time by the number of samplings set for the measurement task (S408). Then, the signal processing unit 206 records the calculated proportionality constant L in the table 252 in association with the output format (S409). As described above, the signal processing unit 206 registers the proportionality constant L in the table 252 in association with the output format based on the actually measured output time.

For example, the task 306 ₁ (output format) in the measurement task 310 ₁ of the task table 240 is “wireless”, and the number of sampling points in the task 304 ₁ is 5,000 points. Therefore, if the measured output time is divided by 5,000, the proportionality constant L corresponding to "wireless" can be automatically obtained.

By the above processing operation, the proportionality constant L that has not been registered in the table 252 is registered. As a result, a person such as a worker or a user can reduce the work of registering the proportionality constant L in the table 252, and the work load of the person is reduced.

[Fifth Embodiment]
The information processing method according to the fifth embodiment will be described. In the fifth embodiment, the overall configuration of the production equipment is the same as the overall configuration of the production equipment 1000 of the first embodiment, and the description thereof will be omitted. In the fifth embodiment, a part of the information processing method is different from the first embodiment.

In the above-mentioned second embodiment, the priority is set by the priority table 260 created in advance. In the present embodiment, a method will be described in which the terminal 109 refers to the storage unit 210 of the monitoring node device 104, displays each of the measurement tasks on the display unit, and causes the user to set the priority corresponding to the measurement task. The terminal 109 has a part of the function of the processing unit. In the present embodiment, the case where each of the measurement tasks is displayed on the display unit of the terminal 109 will be described in detail as an example. However, a terminal such as a laptop personal computer may be connected to the monitoring node device 104, and each of the measurement tasks may be displayed on the display unit of the connected laptop personal computer. The terminal 109 functions as an information processing device capable of communicating with the monitoring node device 104. An information processing device may be configured by any of these terminals and the monitoring node device 104.

FIG. 10 is an explanatory diagram showing an example when the setting screen 109b for setting the priority of the measurement task on the display unit 109a of the terminal 109 in the fifth embodiment is displayed. The setting screen 109b shown in FIG. 10 is an example of the first screen. The monitoring node device 104 in the present embodiment stores the signal processing time, output time, and execution time information described in detail in the first embodiment in the storage unit 210 in association with each of the measurement tasks.

Then, when the user gives an instruction to set the priority of the measurement task, the terminal 109 refers to the task table 240 stored in the storage unit 210 of the monitoring node device 104 and the data in which the information of each time is recorded. do. Then, the terminal 109 extracts the items of each measurement task, and displays the information of each time on the display unit 109a as the setting table 250 in association with the extracted measurement task items. Item 307 is signal processing time information, item 308 is output time information, and item 309 is execution time information. Item 303 displays information on the priority that is currently set. The terminal 109 may display information on the sampling time of each measurement task on the display unit 109a.

On the setting screen 109b shown in FIG. 10, information on the signal processing time, output time, and execution time of the measurement task 310 ₂ having the task number “2” and the measurement task 310 ₃ having the task number “3” is displayed. Will be done. Further, when the user clicks the cell of the item 303 of the predetermined measurement task, the terminal 109 displays the pull-down menu 303a so that the priority information can be changed. Then, when the priority is changed by the user and the registration button 320 is clicked, the terminal 109 stores the changed priority information in the storage unit 210. When the back button 321 is clicked by the user, the terminal 109 does not store the changed priority information in the storage unit 210. When the registration button 320 is clicked, the terminal 109 instructs the monitoring node device 104 to save the changed information in the storage unit 210, and the monitoring node device 104 uses the changed priority information of the storage unit 210. Update task table 240.

FIG. 11 is an explanatory diagram showing an example of the setting screen 109c which is a modification of the fifth embodiment. In FIG. 10, the information of the signal processing time, the output time, and the execution time is displayed in each column of the setting table 250, but it may be displayed in one column by using the pull-down menu 307a. In the example shown in FIG. 11, the information on the signal processing time is displayed, but if the pull-down menu 307a is used, the display can be changed to the output time and the execution time.

As described above, according to the present embodiment, the user can set the priority by referring to the signal processing time, output time and execution time information, event conditions, and signal processing type of each measurement task. .. This allows the user to set an appropriate priority while referring to the characteristics of each measurement task.

[Sixth Embodiment]
The information processing method according to the sixth embodiment will be described. In the sixth embodiment, the overall configuration of the production equipment is the same as the overall configuration of the production equipment 1000 of the first embodiment, and the description thereof will be omitted. In the sixth embodiment, a part of the information processing method is different from the first embodiment.

In the fifth embodiment, the user manually inputs the priority in the item 303. However, the user may be made to set a reference item, and the terminal 109 may be made to automatically set the priority based on the item.

FIG. 12 is an explanatory diagram showing an example when the setting screen 109d for setting the priority of the measurement task on the display unit 109a of the terminal 109 in the sixth embodiment is displayed. The setting screen 109d shown in FIG. 12 is an example of the second screen. From FIG. 12, in the present embodiment, the terminal 109 displays the reference box 322, the condition box 323, the priority box 324, and the automatic setting button 325 on the display unit 109a. The reference box 322 is an example of the first box, the condition box 323 is an example of the second box, and the priority box 324 is an example of the third box.

The reference box 322 is a box in which the user can set an item (criteria) to be noted when the terminal 109 automatically sets the priority. In the example shown in FIG. 12, in the reference box 322, "signal processing time" is set as an item to be noted. The priority box 324 is a box in which the user can set the priority automatically set by the terminal 109. In the example shown in FIG. 12, "1" is set as the priority in the priority box 324. The condition box 323 is a condition that the terminal 109 automatically sets to the priority set in the priority box 324, and the user can set the condition that the item (criteria) set in the reference box 322 should be satisfied. Is. In the example shown in FIG. 12, in the condition box 323, "2 seconds or less" is set as a condition to be satisfied by the standard.

Then, when the automatic setting button 325 is clicked by the user, the priority is automatically set to "1" for the measurement task whose signal processing time is 2 seconds or less. In the example shown in FIG. 12, the priority of each of the measurement task 310 ₂ having the task number “2” and the measurement task 310 ₃ having the task number “3” is automatically set to “1”.

Further, as shown in FIG. 13, the signal processing information of the item 305 may be set in the reference box 322. In the example shown in FIG. 13, "FFT processing" is set. In the case of FIG. 13, since the item of interest is the processing content, "-" is displayed in the condition box 323. "3" is set in the priority box 324.

Then, when the automatic setting button 325 is clicked, the priority of the measurement task whose signal processing is FFT processing is automatically set to "3". In the example shown in FIG. 13, the priority of the measurement task 310 ₂ is set to “3”.

As described above, according to the present embodiment, the priority of the measurement task can be automatically set according to the standard requested by the user. As a result, when the number of measurement tasks becomes enormous, the priority can be set easily and appropriately by automatically setting the priority.

[7th Embodiment]
The information processing method according to the seventh embodiment will be described. In the seventh embodiment, the overall configuration of the production equipment is the same as the overall configuration of the production equipment 1000 of the first embodiment, and the description thereof will be omitted. In the seventh embodiment, a part of the information processing method is different from the first embodiment.

In the seventh embodiment, a case where the priority is set based on the measurement data measured by each measurement task stored in the database 108 will be described. FIG. 14 is a control flowchart according to the seventh embodiment. FIG. 15 is an explanatory diagram showing an example when the setting screen 109e for setting the priority of the measurement task on the display unit 109a of the terminal 109 in the seventh embodiment is displayed. The setting screen 109e shown in FIG. 15 is an example of the third screen.

As shown in FIG. 14, first, from step S501, the terminal 109 accesses the database 108 and refers to the latest value of the measurement data obtained by executing each measurement task. Then, from step S502, the terminal 109 updates the latest value of the measurement data. Then, as shown in FIG. 15, the terminal 109 displays the measurement data graph 330 in which the measurement data by each measurement task is plotted on the graph. The horizontal axis shows the number of measurements, the first and second from the left. .. .. It becomes the measurement data of. The vertical axis shows the value of the measurement data. Further, “O” in the measurement data graph 330 is the measurement data of the measurement task 310 ₁ having the task number “1”, and “Δ” is the measurement data of the measurement task 310 ₂ having the task number “2”.

Here, as shown in FIG. 15, in the present embodiment, the terminal 109 displays the setting table 270 for setting the priority while displaying the measurement data graph 330. Item 332 displays the latest value of the measurement data referred to in steps S501 and S502 and the priority currently set for the measurement task. Item 332a is the latest value and item 332b is the priority.

Further, the item 333 displays the first threshold value of each measurement task, and the item 334 displays the second threshold value. The values of item 333 and item 334 can be changed by the user.

The first threshold is a threshold for changing the priority of the measurement task. The terminal 109 changes the priority when the value of the measurement data becomes equal to or higher than the set first threshold value. The set value of the first threshold value is displayed in the item 333a, and the priority to be changed when the value of the measurement data becomes equal to or higher than the first threshold value is set in the item 333b. In the measurement task 310 ₁ whose task number is "1", "5" is set as the first threshold value, and "1" is set as the priority after the change. Similarly, in the measurement task 310 ₂ having the task number “2”, “5” is set as the first threshold value, and “1” is set as the priority after the change.

The second threshold value is a value that notifies the user of an abnormality as an alarm. When the measurement data exceeds the set second threshold value, an alarm is issued. Various methods such as e-mail notification, buzzer, lamp lighting, etc. may be used for issuing an alarm. In the measurement task 310 ₁ having the task number "1", "8" is set as the second threshold value, and similarly, in the measurement task 310 ₂ having the task number "2", "8" is set as the second threshold value. It has been set.

Then, as shown in FIG. 14, from step S503, the terminal 109 determines whether or not the latest value of the measurement data is equal to or higher than the second threshold value. When there is measurement data in which the latest value of the measurement data is equal to or higher than the second threshold value (S503: YES), the terminal 109 proceeds to step S504, issues an alarm to the user, and ends the flow. If there is no measurement data that is equal to or greater than the second threshold value (S503: NO), the terminal 109 proceeds to step S505.

In step S505, the terminal 109 determines whether or not the latest value of the measurement data is equal to or higher than the first threshold value. When there is measurement data in which the latest value of the measurement data is equal to or higher than the first threshold value (S505: YES), the terminal 109 proceeds to step S506, and priority is given to the measurement task for measuring the measurement data having the first threshold value or higher. Change the degree. Then, the changed priority is transmitted to the monitoring node device 104, and the monitoring node device 104 updates the task table 240. If there is no measurement data that is equal to or greater than the first threshold value (S505: NO), the terminal 109 ends the flow. These flows are executed at the time interval set in the box 335 indicating the periodic update time column of FIG. In the example of FIG. 15, it is executed at 5 minute intervals.

As described above, according to the present embodiment, the priority of the measurement task can be changed based on the measurement data. In particular, by setting the first threshold value and the second threshold value, the measurement task that measures the measurement data that has become the first threshold value can be monitored by raising the priority as a "need attention" measurement task, and the abnormality of the monitoring target can be monitored early. Useful for discovery. Further, when the measurement data that has become the second threshold value exists, an alarm is issued as an "abnormality", so that the user can immediately perform maintenance of the monitoring target.

[Eighth Embodiment]
The information processing method according to the eighth embodiment will be described. In the eighth embodiment, the overall configuration of the production equipment is the same as the overall configuration of the production equipment 1000 of the first embodiment and the seventh embodiment, and the description thereof will be omitted. In the eighth embodiment, a part of the information processing method is different from the first embodiment and the seventh embodiment.

In the above-mentioned seventh embodiment, the case of changing the priority of the measurement task for measuring the measurement data having reached the first threshold value or more has been described. In the eighth embodiment, a case where the priority of the measurement task for measuring the measurement data whose value suddenly changes is changed even when the measurement data is not equal to or more than the first threshold value will be described in detail. FIG. 16 is a control flowchart according to the eighth embodiment. FIG. 17 is an explanatory diagram showing an example when the setting screen 109f for setting the priority of the measurement task on the display unit 109a of the terminal 109 in the eighth embodiment is displayed. The setting screen 109f shown in FIG. 17 is an example of the third screen.

From FIG. 16, the difference between the eighth embodiment and the seventh embodiment is that there is step S507 for determining whether or not there is measurement data in which the gradient (change amount) of the measurement data is equal to or greater than the gradient threshold value. From FIG. 17, there is a point and an item 336 for setting the gradient monitoring. In the item 336, an item 336a for setting the gradient threshold value and an item 336b for setting the priority when the gradient threshold value is equal to or higher than the gradient threshold value are displayed. The gradient threshold value is an example of the third threshold value, and is the amount of change in the latest measurement data with respect to the previous measurement data. In the measurement task 310 ₁ whose task number is “1”, “2” is set as the gradient threshold value, and “1” is set as the priority when the gradient threshold value or more is reached. Similarly, in the measurement task 310 ₂ having the task number “2”, “2” is set as the gradient threshold value, and “1” is set as the priority when the gradient threshold value or more is reached.

Then, in step S507, the terminal 109 determines whether or not the gradient of the latest value of the measurement data is equal to or greater than the gradient threshold value. When the gradient of the latest value of the measurement data is equal to or higher than the gradient threshold value (S507: YES), the terminal 109 proceeds to step S506 and changes the priority of the measurement task for measuring the measurement data having the gradient threshold value or higher. .. Then, the changed priority is transmitted to the monitoring node device 104, and the monitoring node device 104 updates the task table 240. If there is no measurement data that is equal to or greater than the gradient threshold value (S507: NO), the terminal 109 ends the flow. These flows are executed at the time interval set in the box 335 indicating the periodic update time column of FIG. In this embodiment, it is executed at 5-minute intervals.

As described above, according to the present embodiment, the priority of the measurement task can be changed based on the measurement data. In particular, by setting a gradient threshold value, a measurement task that measures measurement data that has suddenly changed can be monitored with a higher priority as a "need attention" measurement task, which is useful for early detection of abnormalities to be monitored.

The present invention is not limited to the embodiments described above, and many modifications can be made within the technical idea of the present invention. Moreover, the effects described in the embodiments are merely a list of the most suitable effects resulting from the present invention, and the effects according to the present invention are not limited to those described in the embodiments.

In the above-described embodiment, the case where a plurality of sensors 102 and 103 are provided in the mechanical device 101 to be monitored has been described, but the present invention is not limited to this. For example, there may be a case where the mechanical device 101 is provided with only one sensor. In this case, the monitoring node device 104 may perform each of the plurality of measurement tasks using only one sensor.

Further, in the above-described embodiment, the case where the pump is used as an example of the mechanical device 101 to be monitored has been described, but the present invention is not limited to this. For example, the mechanical device 101 may be a 6-axis articulated robot, or based on the information of the storage device provided in the control device, the operation of expansion / contraction, bending / extension, vertical movement, left / right movement or turning, or a combined operation thereof may be performed. It may be a machine that can be performed automatically.

(Other examples)
The present invention supplies a program that realizes one or more functions of the above-described embodiment to a system or device via a network or storage medium, and one or more processors in the computer of the system or device reads and executes the program. It can also be realized by the processing to be performed. It can also be realized by a circuit (for example, ASIC) that realizes one or more functions.

100 ... Monitoring system (system), 101 ... Mechanical device, 102 ... Sensor, 103 ... Sensor, 104 ... Monitoring node device (information processing device, node device), 106 ... Monitoring gateway device (gateway device), 206 ... Signal processing unit (Processing unit)

Claims (35)

An information processing device to which a sensor for measuring the state of a mechanical device is connected.
A processing unit capable of executing a measurement task corresponding to a satisfied event condition among a plurality of event conditions associated with the plurality of measurement tasks and measuring the state of the mechanical device using the sensor is provided.
The processing unit
When two or more event conditions are satisfied among the plurality of event conditions, it is possible to execute priority processing for executing two or more measurement tasks corresponding to the two or more event conditions in descending order of priority. ,
An information processing device characterized by this. In the priority process, when the two or more measurement tasks include at least two measurement tasks having the same priority, the at least two measurement tasks are executed in ascending order of execution time.
The information processing apparatus according to claim 1. The processing unit estimates the execution time corresponding to each of the at least two measurement tasks before executing the at least two measurement tasks.
The information processing apparatus according to claim 2. Further, an AD conversion unit capable of executing an AD conversion process for converting an analog signal from the sensor into a digital signal is provided.
The processing unit performs signal processing on the digital signal to generate measurement data.
The information processing apparatus according to any one of claims 1 to 3. An output unit capable of outputting the measurement data generated by the processing unit is further provided.
The information processing apparatus according to claim 4. The processing unit refers to a task table in which the plurality of event conditions and the plurality of measurement tasks are associated with each other, and executes a measurement task corresponding to the satisfied event conditions.
The information processing apparatus according to any one of claims 1 to 5. In the task table, a priority is assigned to each of the plurality of measurement tasks.
The information processing apparatus according to claim 6. The processing unit determines the priority of the two or more measurement tasks by referring to the priority table to which the priority is assigned for each processing content of the signal processing.
The information processing apparatus according to claim 4 or 5. The measurement task includes a first task in which the AD conversion unit executes the AD conversion process, a second task in which the processing unit performs the signal processing on the digital signal to generate the measurement data, and the output unit. Includes a third task to output the measurement data.
The information processing apparatus according to claim 5. The execution time required to execute the measurement task includes the first time required to execute the first task, the second time required to execute the second task, and the third time required to execute the third task.
The information processing apparatus according to claim 9. The processing unit obtains the first time based on the sampling frequency and the number of samplings when the AD conversion unit performs the AD conversion processing.
The information processing apparatus according to claim 10. The processing unit obtains the second time based on the number of samplings when the AD conversion unit is made to perform the AD conversion processing and the first proportionality constant corresponding to the processing content of the signal processing.
The information processing apparatus according to claim 10 or 11. The processing unit obtains the second time with reference to the first table in which the processing content and the first proportionality constant are associated with each other.
The information processing apparatus according to claim 12. The processing unit registers the first proportionality constant in the first table in association with the processing content based on the actually measured second time.
The information processing apparatus according to claim 13. The processing unit obtains the third time based on the number of samplings when the AD conversion unit performs the AD conversion processing and the second proportionality constant according to the output format in the output unit.
The information processing apparatus according to any one of claims 10 to 14, wherein the information processing apparatus is characterized. The processing unit obtains the third time by referring to the second table in which the output format and the second proportionality constant are associated with each other.
The information processing apparatus according to claim 15. The processing unit registers the second proportionality constant in the second table in association with the output format based on the actually measured third time.
The information processing apparatus according to claim 16. Displaying a first screen capable of setting the priority of the measurement task, which includes at least one piece of information about the first hour, the second hour, and the third hour.
The information processing apparatus according to claim 10. A second screen is displayed on which the priority of the measurement task can be automatically set based on at least one of the first hour, the second hour, and the third hour.
The information processing apparatus according to claim 10. The second screen sets a first box for setting a standard for automatically setting the priority of the measurement task and a condition for the standard to be satisfied for automatically setting the priority of the measurement task. A second box for setting a priority that is automatically set when the criteria are met, and a third box for setting the conditions to be met by the criteria.
The information processing apparatus according to claim 19. The first box can further set the processing content of the measurement task.
The information processing apparatus according to claim 20, wherein the information processing apparatus is characterized by the above. A third screen is displayed in which the priority of the measurement task can be set based on the measurement data measured by the measurement task.
The information processing apparatus according to any one of claims 1 to 21, wherein the information processing apparatus is characterized. On the third screen, a first threshold value regarding the value of the measurement data for automatically changing the priority of the measurement task can be set.
22. The information processing apparatus according to claim 22. On the third screen, a second threshold value regarding the value of the measurement data for issuing an alarm can be set.
The information processing apparatus according to claim 22 or 23. On the third screen, a third threshold value regarding the amount of change in the measurement data for automatically changing the priority of the measurement task can be set.
The information processing apparatus according to any one of claims 22 to 24. On the third screen, the measurement data is displayed as a graph.
The information processing apparatus according to any one of claims 22 to 25. The priority process is executed when the two or more event conditions are satisfied at the same time or substantially at the same time.
The information processing apparatus according to any one of claims 1 to 26. Gateway device and
Sensors for measuring the state of machinery and
A node device connected to the sensor and capable of transmitting measurement data by wireless communication or wired communication to the gateway device is provided.
The node device is
A processing unit capable of executing a measurement task corresponding to a satisfied event condition among a plurality of event conditions associated with the plurality of measurement tasks and measuring the state of the mechanical device using the sensor is provided.
The processing unit
When two or more event conditions are satisfied among the plurality of event conditions, it is possible to execute priority processing for executing two or more measurement tasks corresponding to the two or more event conditions in descending order of priority. ,
A system characterized by that. In the priority process, when the two or more measurement tasks include at least two measurement tasks having the same priority, the at least two measurement tasks are executed in ascending order of execution time.
28. The system of claim 28. The system according to claim 28 or 29, and
With the mechanical device
Production equipment equipped with. This is an information processing method in which the processing unit executes a measurement task corresponding to the satisfied event condition among a plurality of event conditions associated with the plurality of measurement tasks, and measures the state of the mechanical device using a sensor. hand,
Priority processing in which the processing unit executes two or more measurement tasks corresponding to the two or more event conditions in descending order of priority when two or more event conditions among the plurality of event conditions are satisfied. To execute,
An information processing method characterized by that. In the priority process, when the two or more measurement tasks include at least two measurement tasks having the same priority, the processing unit executes the at least two measurement tasks in ascending order of execution time.
31. The information processing method according to claim 31. The article is manufactured while acquiring the state of the mechanical device by the system of the production equipment according to claim 30.
A method of manufacturing an article, characterized in that. A program for causing a computer to execute the information processing method according to claim 31 or 32. A computer-readable recording medium on which the program according to claim 34 is recorded.

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