CN117873040A - Remote monitoring and fault diagnosis method for industrial control main board and related equipment - Google Patents
Remote monitoring and fault diagnosis method for industrial control main board and related equipment Download PDFInfo
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- 238000003745 diagnosis Methods 0.000 title claims abstract description 95
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Abstract
The application relates to the technical field of mainboard management, and provides a remote monitoring and fault diagnosis method and related equipment for an industrial control mainboard. The working data of the industrial control main board and parts thereof and the preset working mode are obtained through the working condition monitoring module, so that the working data and the working mode of the industrial control main board are transmitted to the remote monitoring center through the remote communication module connected with the working condition monitoring module, and the fault diagnosis module is used for carrying out fault judgment according to the working data and the working mode of the industrial control main board. When the fault of the industrial control main board is determined, the fault diagnosis module determines a fault component according to the working data of each component and the working mode thereof so as to acquire the component information of the component, so that a fault report is generated according to the component information, the working data of the component and the working mode and is sent to target equipment, and further the rapid fault diagnosis and the timely troubleshooting of the industrial control main board are realized.
Description
Technical Field
The application relates to the technical field of motherboard management, in particular to a remote monitoring and fault diagnosis method for an industrial control motherboard and related equipment.
Background
With the rapid development of industry, the industrial control main board is used as a core component for realizing industrial automatic production, and the stability and reliability of the industrial control main board have a critical influence on the safety and efficiency of industrial production. However, the existing industrial control main board needs to perform field fault diagnosis through external equipment.
The on-site monitoring method has the problem of untimely monitoring, so that faults cannot be timely checked, the checking efficiency is low, the efficiency of industrial production is reduced, and the production potential safety hazard exists.
Disclosure of Invention
In view of this, the present application provides a method for remote monitoring and fault diagnosis of an industrial control motherboard and related devices, so as to solve the problem of timeliness of fault monitoring.
The first aspect of the present application provides a remote monitoring and fault diagnosis system for an industrial control motherboard, the system comprising:
a remote monitoring center;
the working condition monitoring module is arranged on the industrial control main board and is used for detecting working data of the industrial control main board and all parts on the industrial control main board and acquiring preset working modes of the industrial control main board and all parts on the industrial control main board;
the remote communication module is connected with the working condition monitoring module and is used for carrying out communication between the remote monitoring center and the industrial control main board;
the fault diagnosis module is arranged in the remote monitoring center and is used for judging whether the industrial control main board has faults according to the working data and the working mode and determining fault components in the fault industrial control main board according to the working data and the working mode.
In an alternative embodiment, the system further comprises:
and the remote maintenance module is arranged in the remote monitoring center and is used for performing equipment operation and software update on the industrial control main board.
In an alternative embodiment, the system further comprises:
and the consultation module is connected with the remote maintenance module and is used for performing consultation according to a preset consultation mode when the fault diagnosis module cannot determine the fault component in the fault industrial control main board.
In an alternative embodiment, the system further comprises:
and the diagnosis recording module is arranged in the remote monitoring center and is used for recording the diagnosis data of the fault diagnosis module and the diagnosis data of the consultation module.
In an alternative embodiment, the remote communication module is further configured to send a heartbeat packet to the remote monitoring center and the condition monitoring module within a preset time interval to verify a status of the communication connection, and resume the communication connection according to a preset reconnection mechanism when the communication connection is interrupted.
In an alternative embodiment, the system further comprises:
the permission verification module is connected with the remote monitoring center and is used for verifying the legal identity of equipment connected with the remote monitoring center and granting permission identification corresponding to the legal equipment according to the identity information of the legal equipment;
and the remote monitoring center responds to the operation instruction of the legal equipment according to the authority identification of the legal equipment.
The second aspect of the present application provides a method for remote monitoring and fault diagnosis of an industrial control motherboard, the method comprising:
acquiring working data and a preset working mode of an industrial control main board and each component on the industrial control main board;
judging whether the industrial control main board has faults or not according to the working data and the working mode of the industrial control main board;
when the industrial control main board is determined to have faults, determining fault components according to working data of each component;
and acquiring component information according to the component, generating a fault report according to the component information, the working data of the component and the working mode of the component, and sending the fault report to first target equipment.
In an optional implementation manner, the determining, according to the working data and the working mode of the industrial control main board, whether the industrial control main board fails includes:
acquiring first working data of the industrial control main board according to preset working parameters in the working mode and environmental information in the working data;
determining a first data threshold according to the environmental information and the first working data;
when the working data reach the first data threshold value, determining that the industrial control main board has no fault;
and when the working data does not reach the first data threshold, determining that the industrial control main board fails.
In an alternative embodiment, when determining that the industrial control main board has a fault but an indeterminate fault component, the method further includes:
sending a preset consultation invitation to the second target equipment;
and when the second target equipment responds to the consultation invitation, consultation is performed according to a preset consultation mode.
A third aspect of the present application provides an electronic device, the electronic device including a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the method for remote monitoring and fault diagnosis of an industrial control motherboard as described above when executing the computer program.
The application provides a remote monitoring and fault diagnosis method and related equipment for an industrial control main board, wherein the remote monitoring and fault diagnosis method and related equipment comprise a working condition monitoring module, a remote communication module, a remote monitoring center and a fault diagnosis module. The working data of the industrial control main board and parts thereof and the preset working mode are obtained through the working condition monitoring module, so that the working data and the working mode of the industrial control main board are transmitted to the remote monitoring center through the remote communication module connected with the working condition monitoring module, and the fault diagnosis module is used for carrying out fault judgment according to the working data and the working mode of the industrial control main board. When the industrial control main board is determined to have faults, the fault diagnosis module determines a fault component according to the working data of each component and the working mode thereof to acquire the component information of the component, so that a fault report is generated according to the component information, the working data of the component and the working mode and is sent to target equipment. The working data of the industrial control main board is monitored in real time through the working condition monitoring module, so that the fault problem of the industrial control main board is timely found through the fault diagnosis module, the fault cause is timely checked by the fault diagnosis module according to the working data of each component, and the timely finding and checking of the fault of the industrial control main board are further realized.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a functional block diagram of a remote monitoring and fault diagnosis system for an industrial control motherboard according to an embodiment of the present disclosure;
fig. 2 is a flowchart of a method for remote monitoring and fault diagnosis of an industrial control motherboard according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
Fig. 1 is a functional block diagram of a remote monitoring and fault diagnosis system for an industrial control motherboard according to an embodiment of the present application.
In some embodiments, the remote monitoring and fault diagnosis system 1 of the industrial control main board may include a plurality of functional modules composed of computer program segments. The computer program of each program segment in the remote monitoring and fault diagnosis system 1 of the industrial control main board may be stored in a memory of a server and executed by at least one processor to perform (see fig. 2 for details) the functions of the remote monitoring and fault diagnosis method of the industrial control main board.
In this embodiment, the remote monitoring and fault diagnosis system 1 of the industrial control motherboard may be divided into a plurality of functional modules according to the functions executed by the remote monitoring and fault diagnosis system. The functional module may include: a remote monitoring center 11, a working condition monitoring module 12, a remote communication module 13, a fault diagnosis module 14, a remote maintenance module 15, a consultation module 16, a diagnosis record module 17 and a permission verification module 18. The module referred to in the present invention refers to a series of computer program segments capable of being executed by at least one processor and of performing a fixed function, stored in a memory. In the present embodiment, the functions of the respective modules will be described in detail in the following embodiments.
The condition monitoring module 12 disposed on the industrial control motherboard integrates a serial peripheral interface (serial peripheral interface, SPI interface) or I2C bus interface including, but not limited to, a current sensor (e.g., hall effect sensor or hall current transducer), a voltage sensor, a temperature sensor (e.g., DS18B20 sensor or DHT series sensor), and a humidity sensor (e.g., DHT series sensor or SHT series sensor), the sensors disposed on the respective components being connected to the condition monitoring module 12 by an internal bus. In an alternative embodiment, the functionality of condition monitoring module 12 may be implemented by writing a monitoring agent on an industrial motherboard.
The remote communication module 13, which is coupled to the condition monitoring module 12, is compatible with, but is not limited to, transmission control protocol/internet protocol (Transmission Control Protocol/Internet Protocol, TCP/IP protocol), message queue telemetry transport protocol (Message Queuing Telemetry Transport, MQTT protocol), webSocket protocol, and HTTP protocol. The TCP/IP protocol can ensure the stability and the instantaneity of data transmission, the MQTT protocol can adapt to the data transmission under the low-power consumption and unstable network environment, the WebSocket protocol can establish the persistent connection between the working condition monitoring module 12 and the remote monitoring center 11, and the HTTP protocol has strong compatibility and is easy to expand. The remote communication module 13 ensures the adaptation of the bi-directional connection with the condition monitoring module 12 and the remote monitoring center 11 by being compatible with a plurality of communication protocols. It should be understood that, to ensure the security of the information transmitted by the communication, all communication protocols use encrypted communication during the transmission of the information. In an alternative embodiment, to reduce network bandwidth occupation during transmission, the telecommunications module 13 compresses the transmitted data before transmission.
The remote monitoring center 11 is provided with a fault diagnosis module 14, a remote maintenance module 15, a consultation module 16, a diagnosis record module 17 and a permission verification module 18.
A rights verification module 18 provided at the connection end of the user equipment for performing encrypted authentication (e.g. hash algorithm or digital signature) of the connected user equipment. When the user equipment is legal equipment, a preset mapping table of equipment and rights is queried according to the identity information of the legal equipment, so that the rights identification corresponding to the legal equipment is granted. When the remote monitoring center 11 receives the operation instruction of the legal device, the corresponding authorized operation instruction is executed according to the authority identification of the legal device.
The fault diagnosis module 14 is configured to receive the preset operation mode, the operation information and the environmental information of the industrial control main board and the components thereof sent by the remote communication module 13. And performing fault judgment on the industrial control main board according to the received information. And after determining that the industrial control main board fails, performing troubleshooting on the failed component according to the received information.
The remote maintenance module 15 is configured to receive an authorized operation instruction of the legal device, and perform operations such as remote parameter configuration and modification, software upgrading, and remote restarting on the industrial control main board according to the operation instruction.
The consultation module 16 is configured to send a consultation invitation to a plurality of expert devices registered in the remote monitoring and fault diagnosis system 1 of the industrial control motherboard when the fault diagnosis module 14 determines that the industrial control motherboard has a fault and the fault diagnosis module 14 cannot determine a fault component, and perform a consultation record on a plurality of consultation modes such as an audio call or a text chat of the expert device responding to the consultation invitation, so as to troubleshoot the fault of the industrial control motherboard according to the consultation record.
The diagnostic recording module 17 is configured to record the diagnostic data of the fault diagnosis module 14 and the diagnostic data of the consultation module 16 when it is determined that the industrial control main board has a fault.
The remote monitoring and fault diagnosis system of the industrial control main board comprises a remote monitoring center, a working condition monitoring module, a remote communication module and a fault diagnosis module, wherein the working condition of the industrial control main board is detected in real time through the working condition monitoring module, and fault judgment and troubleshooting of the industrial control main board are timely carried out, so that comprehensive monitoring, fault diagnosis and remote maintenance of the industrial control main board are realized.
The method for remote monitoring and fault diagnosis of the industrial control main board provided by the embodiment of the application is executed by the electronic equipment, and correspondingly, the remote monitoring center operates in the electronic equipment. The method for remote monitoring and fault diagnosis of the industrial control main board provided by the embodiment of the application is described below by combining the process of fault detection of the industrial control main board with the angle of a remote monitoring center.
Fig. 2 is a flowchart of a method for remote monitoring and fault diagnosis of an industrial control motherboard according to an embodiment of the present application. The remote monitoring and fault diagnosis method for the industrial control main board provided by the embodiment of the application comprises the following steps.
S20: and acquiring the industrial control main board, working data of each component on the industrial control main board and a preset working mode.
The operating data includes, but is not limited to, current, voltage, and environmental information consisting of temperature and humidity. The working modes include, but are not limited to, working parameters of the industrial control main board and components thereof preset by a user according to production requirements.
The remote monitoring center acquires working data and working modes of the industrial control main board and parts thereof detected by the working condition monitoring module in real time through the remote communication module. The working data acquired by the remote monitoring center are detection data subjected to preprocessing operations such as filtering, denoising and the like of the working condition monitoring module.
In an alternative embodiment, to maintain the bidirectional connection with the remote monitoring center and the condition monitoring module, the remote communication module periodically sends heartbeat packets to the remote monitoring center and the condition monitoring module to determine the state of the bidirectional connection of the remote communication module. Wherein a heartbeat packet is a small piece of data, typically a special packet, such as a timestamp or a special identifier.
After the remote monitoring center and/or the working condition monitoring module receive the heartbeat packet, the heartbeat packet is verified and a response is sent to the remote communication module so as to inform the remote communication module that the connection is still in an active state.
If the remote communication module does not receive the response of the heartbeat packet within a predetermined time, it may mean that the connection has been interrupted, and the remote communication module may automatically perform a preset reconnection mechanism. In order to avoid excessive load on the network caused by frequent reconnection operation, the reconnection mechanism adopts an exponential growth factor to set reconnection interval time. If the connection is not replied within the preset time, the remote monitoring center sends preset connection alarm information to the mobile equipment of the administrator.
Illustratively, the remote communication module loses connection with the remote monitoring center, the remote communication module presets a reconnection interval of 1S and presets an exponential growth factor of 2, and the preset reconnection time is 1 minute. The interval time between the first reconnection operation and the second reconnection operation of the remote communication module is 1S, the interval time between the second reconnection operation and the third reconnection operation is 2S, and the interval time between the third reconnection operation and the fourth reconnection operation is 4S. When the reconnection operation takes 1 minute to still fail, the remote monitoring center transmits connection alarm information to the mobile device of the administrator to inform the administrator to check the connection between the remote communication module and the remote monitoring center.
S21: and judging whether the industrial control main board has faults or not according to the working data and the working mode of the industrial control main board.
After the remote monitoring center acquires the working data and the working mode sent by the remote communication module, the working data and the working mode are transmitted to the fault diagnosis module through the internal communication bus to carry out fault judgment on the industrial control main board.
In an optional implementation manner, the determining, according to the working data and the working mode of the industrial control main board, whether the industrial control main board fails includes:
acquiring first working data of the industrial control main board according to preset working parameters in the working mode and environmental information in the working data;
determining a first data threshold according to the environmental information and the first working data;
when the working data reach the first data threshold value, determining that the industrial control main board has no fault;
and when the working data does not reach the first data threshold, determining that the industrial control main board fails.
The environment information is the temperature and humidity of the working environment of the industrial control main board. The input of the industrial control main board is given data, so the working data of the industrial control main board is only output data. It should be understood that the temperature and humidity of the working environment may affect the working state of the industrial control main board, so that the rule engine preset in the fault diagnosis module is used for predicting the working state of the industrial control main board according to the temperature and humidity of the working environment. And the rule engine predicts the working state of the industrial control main board according to the received environmental information and the working parameter prediction, so as to obtain first working data of the industrial control main board in the predicted working state. After the fault diagnosis module obtains the first working data, a first data threshold value is obtained according to a preset association relation table between the environmental information and the working efficiency. And comparing the working data with a first data threshold value to judge the working state of the industrial control main board. When the working data is within the first data threshold, the fault diagnosis module determines that the industrial control main board has no fault; and when the working data is beyond the first data threshold value, the fault diagnosis module determines that the industrial control main board fails.
Illustratively, the fault diagnosis module is preset with: rule 1, temperature exceeds 40 0 The voltage data needs to be multiplied by a factor of 0.9; prescribed 2, humidity at (40%, 60%), current data required multiplication by a factor of 0.95. Worker received by fault diagnosis moduleThe data are 70V and 18A; operating parameters 70v,15a; the environmental information is 45 0 45%. The first working data is calculated and obtained according to a rule engine to be 0.9x70Vx0.95x15A= 897.75W, and the working efficiency of the industrial control main board in the environment is obtained to be 98-75% according to a preset association table, so that a first data threshold value is obtained to be [879.795W,673.3125W ]]. The power in the operating data is 1260W and is not within the first data threshold, so the fault diagnosis module determines that the industrial control motherboard fails.
And the rule engine is used for combining the environmental information and the working parameters to realize intelligent prediction of the state of the industrial control main board. And setting a personalized first data threshold according to the association relation table of the environment information and the working efficiency, so that fault diagnosis is more accurate. By comparing the working data with the first data threshold value, whether the industrial control main board has faults or not is rapidly judged, and the efficiency and the accuracy of fault diagnosis are improved.
S22: and when the industrial control main board is determined to have faults, determining the fault component according to the working data of each component.
The working data of each component may further include component image information acquired in real time. The remote monitoring and fault diagnosis system of the industrial control main board obtains image information of the industrial control main board through a camera unit arranged near the industrial control main board, and positions each part according to the preset position information of each part on the industrial control main board so as to obtain the image information of each part. The current-voltage data in the operation data of the component is divided into input data and output data.
It should be appreciated that a machine learning model is provided in the fault diagnosis module and has been trained based on input and output data of the various components under different temperature and humidity conditions. The machine learning model of the failure diagnosis model performs failure value calculation based on the operation data of each component. When the calculated fault value reaches a preset fault threshold, the fault diagnosis module determines that the component is a fault component, and analyzes whether breakdown of the component and/or insufficient adjustment of the component exist or not in combination with the component image, so that a fault release scheme is determined.
In an alternative embodiment, when determining that the industrial control main board has a fault but an indeterminate fault component, the method further includes:
sending a preset consultation invitation to the second target equipment;
and when the second target equipment responds to the consultation invitation, consultation is performed according to a preset consultation mode.
When the fault diagnosis module cannot determine the fault component on the fault industrial control main board, the fault diagnosis module sends a preset wake-up signal to the consultation module. The consultation module is activated, inquires a preset expert list, and sends consultation invitation according to second target equipment corresponding to expert information. The consultation invitation includes, but is not limited to, the type of the fault industrial control main board, the working data and the working mode of the industrial control main board and parts thereof. When the consultation module receives the response information sent by the second target equipment, the consultation module provides audio communication or text chat for the second target equipment according to a preset consultation mode, so that consultation of a plurality of experts is realized. It should be appreciated that the second target device has obtained data retrieval rights.
Meanwhile, the diagnosis recording module fully records the consultation process and generates corresponding consultation data (i.e. the diagnosis data of the consultation module) for the fault diagnosis module to perform machine science. The diagnostic record module also collects diagnostic data of the fault diagnostic module and time stamps the consultation data with the diagnostic data to generate a diagnostic log.
The fault diagnosis is carried out on the industrial control main board through the machine learning model and the real-time image information, and the expert knowledge is introduced in a consultation mode when needed, so that the accuracy and timeliness of the fault diagnosis are improved. The system can improve the reliability and maintenance efficiency of the industrial control equipment.
S23: and acquiring component information according to the component, generating a fault report according to the component information, the working data of the component and the working mode of the component, and sending the fault report to first target equipment.
The first target device is an engineer mobile device preset in a remote monitoring and fault diagnosis system of the industrial control main board. The remote monitoring center queries a preset component information base according to the determined fault component to acquire information of the component, such as a model number, a manufacturer, an installation date and the like. And integrating the component information, the working data and the working mode to generate a fault report. The fault report should include, but is not limited to, identification information of the component, current operating status, historical operating data, indicia of abnormal data, and possible fault causes or service recommendations. The remote monitoring center uses a secure communication protocol and encryption mechanism to send a fault report to the first target device to notify the engineer of the fault maintenance.
The application provides a remote monitoring and fault diagnosis method and related equipment for an industrial control main board, wherein the remote monitoring and fault diagnosis method and related equipment comprise a working condition monitoring module, a remote communication module, a remote monitoring center and a fault diagnosis module. The working data of the industrial control main board and parts thereof and the preset working mode are obtained through the working condition monitoring module, so that the working data and the working mode of the industrial control main board are transmitted to the remote monitoring center through the remote communication module connected with the working condition monitoring module, and the fault diagnosis module is used for carrying out fault judgment according to the working data and the working mode of the industrial control main board. When the industrial control main board is determined to have faults, the fault diagnosis module determines a fault component according to the working data of each component and the working mode thereof to acquire the component information of the component, so that a fault report is generated according to the component information, the working data of the component and the working mode and is sent to target equipment. The working data of the industrial control main board is monitored in real time through the working condition monitoring module, so that the fault problem of the industrial control main board is timely found through the fault diagnosis module, the fault cause is timely checked by the fault diagnosis module according to the working data of each component, and the timely finding and checking of the fault of the industrial control main board are further realized.
Fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
In a preferred embodiment of the present invention, the electronic device 3 may include, but is not limited to: a memory 31, at least one processor 32, and at least one communication bus 33.
It will be appreciated by those skilled in the art that the structure of the electronic device 3 shown in fig. 3 is not limiting of the embodiments of the present invention, and that the electronic device 3 may also include more or less other hardware or software than shown, or a different arrangement of components.
In some embodiments, the electronic device 3 is a device capable of automatically performing numerical calculation and/or information processing according to a preset or stored instruction, and its hardware includes, but is not limited to, a microprocessor, an application specific integrated circuit, a programmable gate array, a digital processor, an embedded device, and the like.
It should be noted that the electronic device 3 is only used as an example, and other electronic products that may be present in the present application or may be present in the future are also included in the scope of the present application and are incorporated herein by reference.
In some embodiments, the memory 31 stores a computer program that, when executed by the at least one processor 32, implements all or part of the steps of the remote monitoring and fault diagnosis method for an industrial control motherboard as described. The Memory 31 includes Read-Only Memory (R OM), programmable Read-Only Memory (PROM), erasable programmable Read-Only Memory (EPROM), one-time programmable Read-Only Memory (One-time Programmable Read-Only Memory, OTPROM), electrically erasable rewritable Read-Only Memory (EEPROM), compact disc Read-Only Memory (Compact Disc Read-Only Memory, CD-ROM) or other optical disc Memory, magnetic tape Memory, or any other medium that can be used for carrying or storing data. Further, the computer-readable storage medium may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function, and the like.
In some embodiments, the at least one processor 32 is a Control Unit (Control Unit) of the electronic device 3, connects the various components of the entire electronic device 3 using various interfaces and lines, and performs various functions of the electronic device 3 and processes data by running or executing programs or modules stored in the memory 31, and invoking data stored in the memory 31. For example, when the at least one processor 32 executes the computer program stored in the memory 31, all or part of the steps of the remote monitoring and fault diagnosis method for an industrial control motherboard described in the embodiments of the present application are implemented; or to implement all or part of the functionality of a remote monitoring center. The at least one processor 32 may be comprised of integrated circuits, such as a single packaged integrated circuit, or may be comprised of multiple integrated circuits packaged with the same or different functionality, including one or more central processing units (Central Processing unit, CPU), microprocessors, digital processing chips, graphics processors, combinations of various control chips, and the like.
In some embodiments, the at least one communication bus 33 is arranged to enable connected communication between the memory 31 and the at least one processor 32 or the like. Although not shown, the electronic device 3 may further comprise a power source (such as a battery) for powering the various components, which may preferably be logically connected to the at least one processor 32 via a power management device, such that functions of managing charging, discharging, and power consumption are performed by the power management device. The power supply may also include one or more of any of a direct current or alternating current power supply, recharging device, power failure detection circuit, power converter or inverter, power status indicator, etc. The electronic device 3 may further include various sensors, bluetooth modules, wi-Fi modules, etc., which will not be described herein.
The integrated units implemented in the form of software functional modules described above may be stored in a computer readable storage medium. The software functional modules described above are stored in a storage medium and include instructions for causing an electronic device (which may be a personal computer, an electronic device, or a network device, etc.) or a processor (processor) to perform portions of the methods described in various embodiments of the present application.
In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is merely a logical function division, and there may be other manners of division when actually implemented.
The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical units, may be located in one place, or may be distributed over multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
The foregoing are all preferred embodiments of the present application, and are not intended to limit the scope of the present application in any way, therefore: all equivalent changes in structure, shape and principle of this application should be covered in the protection scope of this application.
Claims (10)
1. A remote monitoring and fault diagnosis system for an industrial control motherboard, the system comprising:
a remote monitoring center;
the working condition monitoring module is arranged on the industrial control main board and is used for detecting working data of the industrial control main board and all parts on the industrial control main board and acquiring preset working modes of the industrial control main board and all parts on the industrial control main board;
the remote communication module is connected with the working condition monitoring module and is used for carrying out communication between the remote monitoring center and the industrial control main board;
the fault diagnosis module is arranged in the remote monitoring center and is used for judging whether the industrial control main board has faults according to the working data and the working mode and determining fault components in the fault industrial control main board according to the working data and the working mode.
2. The remote monitoring and fault diagnosis system of an industrial control motherboard of claim 1, further comprising:
and the remote maintenance module is arranged in the remote monitoring center and is used for performing equipment operation and software update on the industrial control main board.
3. The remote monitoring and fault diagnosis system of an industrial control motherboard of claim 2, further comprising:
and the consultation module is connected with the remote maintenance module and is used for performing consultation according to a preset consultation mode when the fault diagnosis module cannot determine the fault component in the fault industrial control main board.
4. The remote monitoring and fault diagnosis system of an industrial control motherboard of claim 3, further comprising:
and the diagnosis recording module is arranged in the remote monitoring center and is used for recording the diagnosis data of the fault diagnosis module and the diagnosis data of the consultation module.
5. The system according to claim 1, wherein the remote communication module is further configured to send a heartbeat packet to the remote monitoring center and the condition monitoring module during a preset time interval to verify a status of the communication connection, and to restore the communication connection according to a preset reconnection mechanism when the communication connection is interrupted.
6. The remote monitoring and fault diagnosis system of an industrial control motherboard of claim 1, further comprising:
the permission verification module is connected with the remote monitoring center and is used for verifying the legal identity of equipment connected with the remote monitoring center and granting permission identification corresponding to the legal equipment according to the identity information of the legal equipment;
and the remote monitoring center responds to the operation instruction of the legal equipment according to the authority identification of the legal equipment.
7. The remote monitoring and fault diagnosis method for the industrial control main board is characterized by comprising the following steps of:
acquiring working data and a preset working mode of an industrial control main board and each component on the industrial control main board;
judging whether the industrial control main board has faults or not according to the working data and the working mode of the industrial control main board;
when the industrial control main board is determined to have faults, determining fault components according to working data of each component;
and acquiring component information according to the component, generating a fault report according to the component information, the working data of the component and the working mode of the component, and sending the fault report to first target equipment.
8. The method for remote monitoring and fault diagnosis of an industrial control motherboard according to claim 7, wherein the determining whether the industrial control motherboard has a fault according to the working data and the working mode of the industrial control motherboard comprises:
acquiring first working data of the industrial control main board according to preset working parameters in the working mode and environmental information in the working data;
determining a first data threshold according to the environmental information and the first working data;
when the working data reach the first data threshold value, determining that the industrial control main board has no fault;
and when the working data does not reach the first data threshold, determining that the industrial control main board fails.
9. The method for remote monitoring and fault diagnosis of an industrial control motherboard according to claim 7, wherein when determining that the industrial control motherboard has a faulty but indeterminate faulty component, the method further comprises:
sending a preset consultation invitation to the second target equipment;
and when the second target equipment responds to the consultation invitation, consultation is performed according to a preset consultation mode.
10. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the method for remote monitoring and fault diagnosis of an industrial control motherboard according to any of claims 7 to 9 when the computer program is executed by the processor.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410075905.9A CN117873040A (en) | 2024-01-18 | 2024-01-18 | Remote monitoring and fault diagnosis method for industrial control main board and related equipment |
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| CN202410075905.9A CN117873040A (en) | 2024-01-18 | 2024-01-18 | Remote monitoring and fault diagnosis method for industrial control main board and related equipment |
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