CN116824734A - Digital twinning-based equipment remote fault diagnosis method, system and device - Google Patents

Digital twinning-based equipment remote fault diagnosis method, system and device Download PDF

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CN116824734A
CN116824734A CN202211662210.8A CN202211662210A CN116824734A CN 116824734 A CN116824734 A CN 116824734A CN 202211662210 A CN202211662210 A CN 202211662210A CN 116824734 A CN116824734 A CN 116824734A
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fault
fault diagnosis
parameters
production equipment
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余丹
兰雨晴
孙宇
张腾怀
赵蒙蒙
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China Standard Intelligent Security Technology Co Ltd
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China Standard Intelligent Security Technology Co Ltd
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Abstract

The invention provides a digital twinning-based equipment remote fault diagnosis method, a digital twinning-based equipment remote fault diagnosis system and a digital twinning-based equipment remote fault diagnosis device. The equipment remote fault diagnosis method comprises the following steps: the historical operation record of the production equipment is called to an equipment monitoring platform; the edge calculation server builds a fault diagnosis model corresponding to the production equipment through the historical operation record; and acquiring the operation parameters of the production equipment in real time after the fault diagnosis model is established, inputting the operation parameters into the fault diagnosis model, and judging whether the current production equipment has operation faults or not through the fault diagnosis model. The fault diagnosis model can adopt a deep learning network model of an RNN structure. The system comprises modules corresponding to the method steps.

Description

Digital twinning-based equipment remote fault diagnosis method, system and device
Technical Field
The invention provides a digital twin-based equipment remote fault diagnosis method, a digital twin-based equipment remote fault diagnosis system and a digital twin-based equipment remote fault diagnosis device, and belongs to the technical field of equipment diagnosis.
Background
The equipment operation monitoring is a conventional flow and a production link in the production process, and in the equipment operation process of the production equipment, the operation condition and the operation parameters of the equipment are checked manually and regularly, and whether the equipment has faults or hidden dangers can be judged after the checking. The manual operation fault management and detection mode of the equipment is time-consuming and labor-consuming, and the equipment fault problem cannot be predicted and solved timely.
Disclosure of Invention
The invention provides a digital twin-based equipment remote fault diagnosis method, a system and a device, which are used for solving the problem that in the prior art, production equipment monitoring is performed manually so that the operation fault of the production equipment cannot be found in time, and the adopted technical scheme is as follows:
a digital twinning-based device remote fault diagnosis method, the device remote fault diagnosis method comprising:
the historical operation record of the production equipment is called to an equipment monitoring platform;
the edge calculation server builds a fault diagnosis model corresponding to the production equipment through the historical operation record;
and acquiring the operation parameters of the production equipment in real time after the fault diagnosis model is established, inputting the operation parameters into the fault diagnosis model, and judging whether the current production equipment has operation faults or not through the fault diagnosis model. The fault diagnosis model can adopt a deep learning network model of an RNN structure.
Further, retrieving the historical operating record of the production equipment from the equipment monitoring platform includes:
the edge computing server invokes the historical operation conventional parameters of the production equipment to the equipment monitoring platform;
the edge computing server invokes fault parameters of the historical operation of the production equipment to the equipment monitoring platform; the fault parameters of the historical operation comprise fault parameters of equipment operation fault phases, duration time of equipment operation faults, occurrence frequency of the equipment operation faults and occurrence times of the equipment operation faults;
and the edge computing server invokes maintenance data information of the production equipment to the equipment monitoring platform, wherein the maintenance data information comprises production equipment fault points and maintenance scheme information.
Further, collecting operation parameters of the production equipment in real time after the fault diagnosis model is established, inputting the operation parameters into the fault diagnosis model, and judging whether the current production equipment has operation faults or not through the fault diagnosis model, wherein the method comprises the following steps:
collecting operation parameters of production equipment in real time, and uploading the operation parameters to an equipment monitoring platform;
the equipment monitoring platform sends the operation parameters of the production equipment to an edge computing server in a remote transmission mode, and the edge computing server inputs the operation parameters to a fault diagnosis model;
judging whether the current production equipment has operation faults or not through the fault diagnosis model, and when the judging result shows that the production equipment has the production operation faults, sending the operation fault judging result to the equipment monitoring platform through a remote transmission mode by the edge computing server;
and the equipment monitoring platform alarms aiming at the production operation faults.
A digital twinning-based device remote fault diagnosis system, the device remote fault diagnosis system comprising:
the calling module is used for calling the historical operation record of the production equipment from the equipment monitoring platform;
the model construction module is used for constructing a fault diagnosis model corresponding to the production equipment by the edge calculation server through the historical operation record and operation parameters of the production equipment operation acquired in real time;
the fault diagnosis module is used for collecting the operation parameters of the production equipment in real time after the fault diagnosis model is established, inputting the operation parameters into the fault diagnosis model, and judging whether the current production equipment has operation faults or not through the fault diagnosis model. The fault diagnosis model can adopt a deep learning network model of an RNN structure.
Further, the calling module includes:
the first parameter retrieving module is used for retrieving the historical operation conventional parameters of the production equipment from the equipment monitoring platform by the edge computing server;
the second parameter calling module is used for calling the fault parameters of the historical operation of the production equipment from the equipment monitoring platform by the edge computing server; the fault parameters of the historical operation comprise fault parameters of equipment operation fault phases, duration time of equipment operation faults, occurrence frequency of the equipment operation faults and occurrence times of the equipment operation faults;
and the third parameter calling module is used for calling the maintenance data information of the production equipment from the equipment monitoring platform by the edge computing server, wherein the maintenance data information comprises the production equipment fault point and the maintenance scheme information.
Further, the fault diagnosis module includes:
the data acquisition control module is used for controlling the data acquisition equipment to acquire the operation parameters of the production equipment in real time and uploading the operation parameters to the equipment monitoring platform;
the first remote communication module is used for the equipment monitoring platform to send the operation parameters of the production equipment to an edge calculation server in a remote transmission mode, and the edge calculation server inputs the operation parameters to a fault diagnosis model;
the second remote communication module is used for judging whether the current production equipment has operation faults or not through the fault diagnosis model, and when the judging result shows that the production equipment has the production operation faults, the edge calculation server sends the operation fault judging result to the equipment monitoring platform in a remote transmission mode;
and the alarm module is used for the equipment monitoring platform to alarm against the production operation fault.
The device remote fault diagnosis device based on digital twinning comprises a device monitoring platform, an edge calculation server and a data acquisition device; the data acquisition equipment is in data connection with the equipment monitoring platform through remote communication equipment; and the edge computing server is in data connection with the equipment monitoring platform through remote communication equipment.
Further, the operation process of the edge computing server includes:
the method comprises the steps that an edge computing server is used for calling historical operation conventional parameters of production equipment to an equipment monitoring platform aiming at the production equipment needing fault monitoring;
the edge computing server is used for calling fault parameters of historical operation of production equipment to an equipment monitoring platform aiming at the production equipment needing fault monitoring; the fault parameters of the historical operation comprise fault parameters of equipment operation fault phases, duration time of equipment operation faults, occurrence frequency of the equipment operation faults and occurrence times of the equipment operation faults;
the method comprises the steps that an edge computing server is used for calling maintenance data information of production equipment to an equipment monitoring platform aiming at the production equipment needing fault monitoring, wherein the maintenance data information comprises production equipment fault points and maintenance scheme information;
the edge calculation server constructs a fault diagnosis model corresponding to the production equipment through the historical operation conventional parameters, the historical operation fault parameters and the maintenance data information of the production equipment;
after a fault diagnosis model is constructed, the edge calculation server acquires the operation parameters of production equipment from the equipment monitoring platform in real time and sends the operation parameters to the edge calculation server, and the edge calculation server inputs the operation parameters to the fault diagnosis model;
and when the judging result shows that the production equipment has production operation faults, the edge computing server sends the operation fault judging result to the equipment monitoring platform in a remote transmission mode.
The invention has the beneficial effects that:
the digital twin-based equipment remote fault diagnosis method, system and device provided by the invention utilize the digital twin technology to carry out digital modeling on the entity equipment, and collect and judge the historical fault, maintenance data and working condition data of the entity equipment. The digital twin technology based on the digital twin equipment remote fault diagnosis method, system and device provided by the invention can remotely analyze and evaluate the possible running condition of equipment so as to remotely diagnose whether the equipment has faults or not.
Drawings
FIG. 1 is a flow chart of the method of the present invention;
fig. 2 is a system block diagram of the system of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
The embodiment of the invention provides a digital twin-based equipment remote fault diagnosis method, which comprises the following steps of:
s1, calling a historical operation record of the production equipment from an equipment monitoring platform;
s2, constructing a fault diagnosis model corresponding to the production equipment through the historical operation record by the edge calculation server;
s3, acquiring operation parameters of the production equipment in real time after the fault diagnosis model is established, inputting the operation parameters into the fault diagnosis model, and judging whether the current production equipment has operation faults or not through the fault diagnosis model. The fault diagnosis model can adopt a deep learning network model of an RNN structure.
The working principle of the technical scheme is as follows: firstly, calling a historical operation record of the production equipment from an equipment monitoring platform; then, an edge computing server constructs a fault diagnosis model corresponding to the production equipment through the historical operation record; finally, the operation parameters of the production equipment are collected in real time after the fault diagnosis model is built, the operation parameters are input into the fault diagnosis model, and whether the current production equipment has operation faults or not is judged through the fault diagnosis model. The fault diagnosis model can adopt a deep learning network model of an RNN structure.
The technical scheme has the effects that: the digital twin-based equipment remote fault diagnosis method provided by the embodiment utilizes a digital twin technology to carry out digital modeling on the entity equipment, and gathers and judges historical faults, maintenance data and working condition data of the entity equipment. The digital twin-based equipment remote fault diagnosis method provided by the embodiment can remotely analyze and evaluate the possible running condition of equipment by utilizing the digital twin technology so as to remotely diagnose whether the equipment has faults or not.
One embodiment of the invention calls a historical operating record of the production equipment to an equipment monitoring platform, and comprises the following steps:
s101, an edge computing server invokes a historical operation conventional parameter of the production equipment to an equipment monitoring platform;
s102, an edge computing server invokes fault parameters of historical operation of the production equipment to an equipment monitoring platform; the fault parameters of the historical operation comprise fault parameters of equipment operation fault phases, duration time of equipment operation faults, occurrence frequency of the equipment operation faults and occurrence times of the equipment operation faults;
s103, the edge computing server invokes maintenance data information of the production equipment to the equipment monitoring platform, wherein the maintenance data information comprises production equipment fault points and maintenance scheme information.
The working principle of the technical scheme is as follows: firstly, an edge computing server invokes historical operation conventional parameters of the production equipment to an equipment monitoring platform; then, the edge computing server invokes fault parameters of the historical operation of the production equipment to the equipment monitoring platform; the fault parameters of the historical operation comprise fault parameters of equipment operation fault phases, duration time of equipment operation faults, occurrence frequency of the equipment operation faults and occurrence times of the equipment operation faults; and finally, the edge computing server invokes maintenance data information of the production equipment to the equipment monitoring platform, wherein the maintenance data information comprises production equipment fault points and maintenance scheme information.
The technical scheme has the effects that: the information acquisition efficiency can be effectively improved by the edge computing server, and meanwhile, the accuracy and the information acquisition stability of the information acquisition can be effectively improved by utilizing the edge computing server to perform independent information acquisition in a remote communication mode. The problem that the information communication is blocked due to the fact that the edge computing server directly calls information parameters to production equipment to enable the information parameters to be collected with the equipment monitoring platform at the same time is solved.
In one embodiment of the present invention, collecting operation parameters of a production device in real time after a fault diagnosis model is established, inputting the operation parameters into the fault diagnosis model, and judging whether an operation fault exists in a current production device through the fault diagnosis model, including:
s301, collecting operation parameters of production equipment in real time, and uploading the operation parameters to an equipment monitoring platform;
s302, the equipment monitoring platform sends the operation parameters of the production equipment to an edge calculation server in a remote transmission mode, and the edge calculation server inputs the operation parameters to a fault diagnosis model;
s303, judging whether the current production equipment has operation faults or not through the fault diagnosis model, and when the judging result shows that the production equipment has the production operation faults, sending the operation fault judging result to the equipment monitoring platform through a remote transmission mode by the edge computing server;
s304, the equipment monitoring platform alarms aiming at the production operation faults.
The working principle of the technical scheme is as follows: firstly, collecting operation parameters of production equipment in real time, and uploading the operation parameters to an equipment monitoring platform; then, the equipment monitoring platform sends the operation parameters of the production equipment to an edge calculation server in a remote transmission mode, and the edge calculation server inputs the operation parameters to a fault diagnosis model; then judging whether the current production equipment has operation faults or not through the fault diagnosis model, and when the judging result shows that the production equipment has the production operation faults, sending the operation fault judging result to the equipment monitoring platform through a remote transmission mode by the edge computing server; and finally, the equipment monitoring platform alarms aiming at the production operation faults.
The technical scheme has the effects that: through the mode, a digital twin technology is utilized to carry out digital modeling on the entity equipment, and historical faults, maintenance data and working condition data of the entity equipment are summarized and judged. Meanwhile, the situation that the equipment is possibly operated can be analyzed and evaluated remotely through the digital twin technology, so that whether the equipment has faults or not can be diagnosed remotely.
The embodiment of the invention provides a digital twin-based equipment remote fault diagnosis system, as shown in fig. 2, which comprises:
the calling module is used for calling the historical operation record of the production equipment from the equipment monitoring platform;
the model construction module is used for constructing a fault diagnosis model corresponding to the production equipment by the edge calculation server through the historical operation record and operation parameters of the production equipment operation acquired in real time;
the fault diagnosis module is used for collecting the operation parameters of the production equipment in real time after the fault diagnosis model is established, inputting the operation parameters into the fault diagnosis model, and judging whether the current production equipment has operation faults or not through the fault diagnosis model. The fault diagnosis model can adopt a deep learning network model of an RNN structure.
The working principle of the technical scheme is as follows: firstly, a historical operation record of the production equipment is called to an equipment monitoring platform through a calling module; then, controlling an edge computing server by using a model construction module to construct a fault diagnosis model corresponding to the production equipment through the historical operation record and operation parameters of the production equipment operation acquired in real time; and finally, acquiring the operation parameters of the production equipment in real time after the fault diagnosis model is established by adopting a fault diagnosis module, inputting the operation parameters into the fault diagnosis model, and judging whether the current production equipment has operation faults or not through the fault diagnosis model. The fault diagnosis model can adopt a deep learning network model of an RNN structure.
The technical scheme has the effects that: the digital twin-based equipment remote fault diagnosis system provided by the embodiment utilizes a digital twin technology to carry out digital modeling on the entity equipment, and gathers and judges historical faults, maintenance data and working condition data of the entity equipment. The digital twin-based equipment remote fault diagnosis system provided by the embodiment can remotely analyze and evaluate the possible running condition of equipment by utilizing a digital twin technology so as to remotely diagnose whether the equipment has faults or not.
In one embodiment of the present invention, the calling module includes:
the first parameter retrieving module is used for retrieving the historical operation conventional parameters of the production equipment from the equipment monitoring platform by the edge computing server;
the second parameter calling module is used for calling the fault parameters of the historical operation of the production equipment from the equipment monitoring platform by the edge computing server; the fault parameters of the historical operation comprise fault parameters of equipment operation fault phases, duration time of equipment operation faults, occurrence frequency of the equipment operation faults and occurrence times of the equipment operation faults;
and the third parameter calling module is used for calling the maintenance data information of the production equipment from the equipment monitoring platform by the edge computing server, wherein the maintenance data information comprises the production equipment fault point and the maintenance scheme information.
The working principle of the technical scheme is as follows: firstly, controlling an edge computing server to call historical operation conventional parameters of the production equipment to an equipment monitoring platform through a first parameter call module; then, the second parameter calling module is used for controlling the edge computing server to call the fault parameters of the historical operation of the production equipment to the equipment monitoring platform; the fault parameters of the historical operation comprise fault parameters of equipment operation fault phases, duration time of equipment operation faults, occurrence frequency of the equipment operation faults and occurrence times of the equipment operation faults; and finally, controlling an edge computing server to call maintenance data information of the production equipment to an equipment monitoring platform by adopting a third parameter call module, wherein the maintenance data information comprises production equipment fault points and maintenance scheme information.
The technical scheme has the effects that: : the information acquisition efficiency can be effectively improved by the edge computing server, and meanwhile, the accuracy and the information acquisition stability of the information acquisition can be effectively improved by utilizing the edge computing server to perform independent information acquisition in a remote communication mode. The problem that the information communication is blocked due to the fact that the edge computing server directly calls information parameters to production equipment to enable the information parameters to be collected with the equipment monitoring platform at the same time is solved.
In one embodiment of the present invention, the fault diagnosis module includes:
the data acquisition control module is used for controlling the data acquisition equipment to acquire the operation parameters of the production equipment in real time and uploading the operation parameters to the equipment monitoring platform;
the first remote communication module is used for the equipment monitoring platform to send the operation parameters of the production equipment to an edge calculation server in a remote transmission mode, and the edge calculation server inputs the operation parameters to a fault diagnosis model;
the second remote communication module is used for judging whether the current production equipment has operation faults or not through the fault diagnosis model, and when the judging result shows that the production equipment has the production operation faults, the edge calculation server sends the operation fault judging result to the equipment monitoring platform in a remote transmission mode;
and the alarm module is used for the equipment monitoring platform to alarm against the production operation fault.
The working principle of the technical scheme is as follows: firstly, controlling a data acquisition device to acquire operation parameters of production equipment in real time through a data acquisition control module, and uploading the operation parameters to an equipment monitoring platform; then, the equipment monitoring platform is controlled by a first remote communication module to send the operation parameters of the production equipment to an edge calculation server in a remote transmission mode, and the edge calculation server inputs the operation parameters to a fault diagnosis model; then, judging whether the current production equipment has operation faults or not by adopting a second remote communication module through the fault diagnosis model, and sending the operation fault judgment result to the equipment monitoring platform through a remote transmission mode by the edge calculation server when the judgment result shows that the production equipment has the production operation faults; and finally, controlling the equipment monitoring platform to alarm against the production operation fault through an alarm module.
The technical scheme has the effects that: through the mode, a digital twin technology is utilized to carry out digital modeling on the entity equipment, and historical faults, maintenance data and working condition data of the entity equipment are summarized and judged. Meanwhile, the situation that the equipment is possibly operated can be analyzed and evaluated remotely through the digital twin technology, so that whether the equipment has faults or not can be diagnosed remotely.
The embodiment of the invention provides a digital twin-based equipment remote fault diagnosis device, which comprises an equipment monitoring platform, an edge calculation server and data acquisition equipment, wherein the equipment monitoring platform is used for monitoring the equipment; the data acquisition equipment is in data connection with the equipment monitoring platform through remote communication equipment; and the edge computing server is in data connection with the equipment monitoring platform through remote communication equipment.
The operation process of the edge computing server comprises the following steps:
the method comprises the steps that an edge computing server is used for calling historical operation conventional parameters of production equipment to an equipment monitoring platform aiming at the production equipment needing fault monitoring;
the edge computing server is used for calling fault parameters of historical operation of production equipment to an equipment monitoring platform aiming at the production equipment needing fault monitoring; the fault parameters of the historical operation comprise fault parameters of equipment operation fault phases, duration time of equipment operation faults, occurrence frequency of the equipment operation faults and occurrence times of the equipment operation faults;
the method comprises the steps that an edge computing server is used for calling maintenance data information of production equipment to an equipment monitoring platform aiming at the production equipment needing fault monitoring, wherein the maintenance data information comprises production equipment fault points and maintenance scheme information;
the edge calculation server constructs a fault diagnosis model corresponding to the production equipment through the historical operation conventional parameters, the historical operation fault parameters and the maintenance data information of the production equipment;
after a fault diagnosis model is constructed, the edge calculation server acquires the operation parameters of production equipment from the equipment monitoring platform in real time and sends the operation parameters to the edge calculation server, and the edge calculation server inputs the operation parameters to the fault diagnosis model;
and when the judging result shows that the production equipment has production operation faults, the edge computing server sends the operation fault judging result to the equipment monitoring platform in a remote transmission mode.
The working principle of the technical scheme is as follows: the equipment remote fault diagnosis device comprises an equipment monitoring platform, an edge calculation server and data acquisition equipment; the data acquisition equipment is in data connection with the equipment monitoring platform through remote communication equipment; and the edge computing server is in data connection with the equipment monitoring platform through remote communication equipment.
The operation process of the remote fault diagnosis device of the equipment comprises the following steps:
the historical operation record of the production equipment is called to an equipment monitoring platform;
the edge calculation server builds a fault diagnosis model corresponding to the production equipment through the historical operation record;
and acquiring the operation parameters of the production equipment in real time after the fault diagnosis model is established, inputting the operation parameters into the fault diagnosis model, and judging whether the current production equipment has operation faults or not through the fault diagnosis model. The fault diagnosis model can adopt a deep learning network model of an RNN structure.
The method for calling the historical operation record of the production equipment to the equipment monitoring platform comprises the following steps:
the edge computing server invokes the historical operation conventional parameters of the production equipment to the equipment monitoring platform;
the edge computing server invokes fault parameters of the historical operation of the production equipment to the equipment monitoring platform; the fault parameters of the historical operation comprise fault parameters of equipment operation fault phases, duration time of equipment operation faults, occurrence frequency of the equipment operation faults and occurrence times of the equipment operation faults;
and the edge computing server invokes maintenance data information of the production equipment to the equipment monitoring platform, wherein the maintenance data information comprises production equipment fault points and maintenance scheme information.
Specifically, collecting operation parameters of the production equipment in real time after the fault diagnosis model is established, inputting the operation parameters into the fault diagnosis model, and judging whether the current production equipment has operation faults or not through the fault diagnosis model, wherein the method comprises the following steps:
collecting operation parameters of production equipment in real time, and uploading the operation parameters to an equipment monitoring platform;
the equipment monitoring platform sends the operation parameters of the production equipment to an edge computing server in a remote transmission mode, and the edge computing server inputs the operation parameters to a fault diagnosis model;
judging whether the current production equipment has operation faults or not through the fault diagnosis model, and when the judging result shows that the production equipment has the production operation faults, sending the operation fault judging result to the equipment monitoring platform through a remote transmission mode by the edge computing server;
and the equipment monitoring platform alarms aiming at the production operation faults.
The technical scheme has the effects that: the device for remote fault diagnosis based on digital twinning provided by the embodiment uses a digital twinning technology to carry out digital modeling on the entity device, and gathers and judges historical faults, maintenance data and working condition data of the entity device. The device remote fault diagnosis device based on digital twin provided by the embodiment can remotely analyze and evaluate the possible running condition of the device by utilizing the digital twin technology so as to remotely diagnose whether the device has faults or not.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.

Claims (8)

1. The remote equipment fault diagnosis method based on digital twinning is characterized by comprising the following steps of:
the historical operation record of the production equipment is called to an equipment monitoring platform;
the edge calculation server builds a fault diagnosis model corresponding to the production equipment through the historical operation record;
and acquiring the operation parameters of the production equipment in real time after the fault diagnosis model is established, inputting the operation parameters into the fault diagnosis model, and judging whether the current production equipment has operation faults or not through the fault diagnosis model.
2. The method of claim 1, wherein retrieving the historical operating record of the production facility from a facility monitoring platform comprises:
the edge computing server invokes the historical operation conventional parameters of the production equipment to the equipment monitoring platform;
the edge computing server invokes fault parameters of the historical operation of the production equipment to the equipment monitoring platform; the fault parameters of the historical operation comprise fault parameters of equipment operation fault phases, duration time of equipment operation faults, occurrence frequency of the equipment operation faults and occurrence times of the equipment operation faults;
and the edge computing server invokes maintenance data information of the production equipment to the equipment monitoring platform, wherein the maintenance data information comprises production equipment fault points and maintenance scheme information.
3. The apparatus remote fault diagnosis method according to claim 1, wherein collecting the operation parameters of the production apparatus in real time after the fault diagnosis model is established, and inputting the operation parameters into the fault diagnosis model, and judging whether the current production apparatus has an operation fault by the fault diagnosis model, comprises:
collecting operation parameters of production equipment in real time, and uploading the operation parameters to an equipment monitoring platform;
the equipment monitoring platform sends the operation parameters of the production equipment to an edge computing server in a remote transmission mode, and the edge computing server inputs the operation parameters to a fault diagnosis model;
judging whether the current production equipment has operation faults or not through the fault diagnosis model, and when the judging result shows that the production equipment has the production operation faults, sending the operation fault judging result to the equipment monitoring platform through a remote transmission mode by the edge computing server;
and the equipment monitoring platform alarms aiming at the production operation faults.
4. A digital twinning-based device remote fault diagnosis system, the device remote fault diagnosis system comprising:
the calling module is used for calling the historical operation record of the production equipment from the equipment monitoring platform;
the model construction module is used for constructing a fault diagnosis model corresponding to the production equipment by the edge calculation server through the historical operation record and operation parameters of the production equipment operation acquired in real time;
the fault diagnosis module is used for collecting the operation parameters of the production equipment in real time after the fault diagnosis model is established, inputting the operation parameters into the fault diagnosis model, and judging whether the current production equipment has operation faults or not through the fault diagnosis model.
5. The device remote fault diagnosis system of claim 4, wherein the invoking module comprises:
the first parameter retrieving module is used for retrieving the historical operation conventional parameters of the production equipment from the equipment monitoring platform by the edge computing server;
the second parameter calling module is used for calling the fault parameters of the historical operation of the production equipment from the equipment monitoring platform by the edge computing server; the fault parameters of the historical operation comprise fault parameters of equipment operation fault phases, duration time of equipment operation faults, occurrence frequency of the equipment operation faults and occurrence times of the equipment operation faults;
and the third parameter calling module is used for calling the maintenance data information of the production equipment from the equipment monitoring platform by the edge computing server, wherein the maintenance data information comprises the production equipment fault point and the maintenance scheme information.
6. The device remote fault diagnosis system of claim 4, wherein the fault diagnosis module comprises:
the data acquisition control module is used for controlling the data acquisition equipment to acquire the operation parameters of the production equipment in real time and uploading the operation parameters to the equipment monitoring platform;
the first remote communication module is used for the equipment monitoring platform to send the operation parameters of the production equipment to an edge calculation server in a remote transmission mode, and the edge calculation server inputs the operation parameters to a fault diagnosis model;
the second remote communication module is used for judging whether the current production equipment has operation faults or not through the fault diagnosis model, and when the judging result shows that the production equipment has the production operation faults, the edge calculation server sends the operation fault judging result to the equipment monitoring platform in a remote transmission mode;
and the alarm module is used for the equipment monitoring platform to alarm against the production operation fault.
7. The device remote fault diagnosis device based on digital twinning is characterized by comprising a device monitoring platform, an edge calculation server and a data acquisition device; the data acquisition equipment is in data connection with the equipment monitoring platform through remote communication equipment; and the edge computing server is in data connection with the equipment monitoring platform through remote communication equipment.
8. The device remote fault diagnosis system of claim 7, wherein the operation of the edge computing server comprises:
the method comprises the steps that an edge computing server is used for calling historical operation conventional parameters of production equipment to an equipment monitoring platform aiming at the production equipment needing fault monitoring;
the edge computing server is used for calling fault parameters of historical operation of production equipment to an equipment monitoring platform aiming at the production equipment needing fault monitoring; the fault parameters of the historical operation comprise fault parameters of equipment operation fault phases, duration time of equipment operation faults, occurrence frequency of the equipment operation faults and occurrence times of the equipment operation faults;
the method comprises the steps that an edge computing server is used for calling maintenance data information of production equipment to an equipment monitoring platform aiming at the production equipment needing fault monitoring, wherein the maintenance data information comprises production equipment fault points and maintenance scheme information;
the edge calculation server constructs a fault diagnosis model corresponding to the production equipment through the historical operation conventional parameters, the historical operation fault parameters and the maintenance data information of the production equipment;
after a fault diagnosis model is constructed, the edge calculation server acquires the operation parameters of production equipment from the equipment monitoring platform in real time and sends the operation parameters to the edge calculation server, and the edge calculation server inputs the operation parameters to the fault diagnosis model;
and when the judging result shows that the production equipment has production operation faults, the edge computing server sends the operation fault judging result to the equipment monitoring platform in a remote transmission mode.
CN202211662210.8A 2022-12-23 2022-12-23 Digital twinning-based equipment remote fault diagnosis method, system and device Pending CN116824734A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117475431A (en) * 2023-12-27 2024-01-30 君华高科集团有限公司 Food safety supervision method and system based on digital twin technology

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117475431A (en) * 2023-12-27 2024-01-30 君华高科集团有限公司 Food safety supervision method and system based on digital twin technology
CN117475431B (en) * 2023-12-27 2024-03-15 君华高科集团有限公司 Food safety supervision method and system based on digital twin technology

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