CN107730017B - Intelligent metallurgical equipment operation diagnosis system - Google Patents
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Abstract
The invention provides an intelligent metallurgical equipment operation diagnosis system which comprises an equipment detection diagnosis platform, an equipment process flow simulation module, an operation monitoring module, a fault diagnosis module, a three-dimensional overhaul training module, a human-computer interaction interface module and a remote intelligent terminal. The intelligent maintenance system has the characteristics of improving the working efficiency, realizing training and examination and intelligent operation on maintainers and the like.
Description
Technical Field
The invention relates to a diagnosis system, in particular to an intelligent diagnosis system for operation of metallurgical equipment.
Background
After the monitoring and diagnosis of the detecting instrument, the monitoring and diagnosis of the software and hardware analysis of the detecting instrument, and the computer-aided monitoring and diagnosis, the device state monitoring and diagnosis technology is developing towards the online monitoring and diagnosis of networking, intellectualization and automation. The Internet and intelligent equipment monitoring and diagnosing system is based on a digital factory, utilizes the Internet of things technology and the equipment monitoring technology, strengthens equipment detection and management information service, provides functions of equipment state analysis, alarm prediction and the like for users, and provides guarantee for enterprises to realize networking, intelligence and automatic equipment state monitoring and diagnosis, but no highly intelligent equipment monitoring and diagnosing system exists in the prior art.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a highly intelligent equipment detection and diagnosis system, which is a highly intelligent equipment monitoring and diagnosis platform realized through three-dimensional modeling, virtual simulation, big data analysis, artificial intelligence and internet technology.
According to one aspect of the invention, a highly intelligent equipment detection and diagnosis system is provided, which is characterized by comprising an equipment detection and diagnosis platform, an equipment process flow simulation module, an operation monitoring module, a fault diagnosis module, a three-dimensional overhaul training module, a human-computer interaction interface module and a remote intelligent terminal, wherein:
the equipment detection and diagnosis platform is connected with the equipment process flow simulation module, the operation monitoring module, the fault diagnosis module, the three-dimensional overhaul training module and the human-computer interaction interface display screen; data interaction and operation control among modules and between the functional module and the display control equipment are realized through the platform;
the equipment process simulation module is used for realizing an all-around three-dimensional intelligent factory and providing a vivid real three-dimensional environment for a user, and comprises a three-dimensional display module, a three-dimensional roaming module and a patrol module, wherein the three-dimensional display module firstly establishes a three-dimensional simulated virtual factory area, the three-dimensional virtual factory area is based on a factory area two-dimensional drawing and a three-dimensional model, a high-precision equal-proportion three-dimensional model is formed by three-dimensional modeling of main equipment, three-dimensional scenes are matched with actual factory area arrangement and equipment height, then the three-dimensional scenes and the equipment are rendered through a computer graphics technology so as to be displayed three-dimensionally, and the three-dimensional rendering content is output to a remote intelligent terminal through a human-computer interaction interface module; the three-dimensional roaming module realizes autonomous three-dimensional roaming in a factory area through free navigation, manual navigation simulates the roaming process in the factory area, details of each part of equipment in the factory area are seen from different visual angles, a tree-shaped menu in a browser interface is selected through a remote intelligent terminal to select any equipment, and a system is positioned at the position of the equipment to realize browsing of the equipment at any angle and query of video monitoring corresponding to the equipment and detection data of each part of the equipment; the inspection module plans and designs an inspection route through a remote intelligent terminal, and sequentially calls equipment detection data and corresponding video monitoring pictures for intelligent inspection;
the operation monitoring module acquires operation state data, sends the data to the fault diagnosis module and the equipment process flow simulation module through the equipment detection and diagnosis platform, is used for fault judgment and real-time display of monitoring data, comprises a video monitoring module, a temperature acquisition module, a pressure acquisition module, a vibration acquisition module and a video monitoring module, realizes no dead angle and full coverage of a monitored factory area, and sends the data to the equipment detection and diagnosis platform; the video monitoring module comprises an image acquisition and cruise monitoring module and a person logistics equipment staring monitoring module, wherein when equipment faults occur, the image acquisition module acquires image data of corresponding equipment and surrounding environment and sends the image data to the equipment detection and diagnosis platform; a cruise route is preset for a spherical monitoring camera in a factory area, then a cruise monitoring module enables the spherical camera to rotate along the set route all the time by calling a preset position, equipment or surrounding environments at a plurality of positions in a certain range are monitored in real time, and video streams are sent to an equipment detection and diagnosis platform; the system comprises a person logistics equipment staring monitoring module, a device detection and diagnosis platform and a staff logistics equipment staring monitoring module, wherein the person logistics equipment staring monitoring module is used for monitoring tracking videos of persons or logistics equipment and sending the video streams to the device detection and diagnosis platform; the temperature acquisition module acquires real-time temperature data through the temperature sensor and sends the real-time temperature data to the equipment detection and diagnosis platform; the pressure acquisition module acquires real-time equipment pressure data through the pressure sensor and sends the real-time equipment pressure data to the equipment detection and diagnosis platform; the vibration acquisition module acquires real-time equipment vibration frequency and intensity data through a vibration sensor and sends the data to the equipment detection and diagnosis platform;
the fault diagnosis module establishes a strict equipment health monitoring system for important rotating machinery equipment, reads real-time detection data and big data analysis of the operation monitoring module, realizes equipment condition diagnosis by the expert diagnosis system, and sends a diagnosis result to the equipment detection diagnosis platform; the fault diagnosis module comprises a big data analysis module and an expert diagnosis system, wherein the big data analysis module is based on a large amount of real-time data acquisition and comprises design data, installation data, field long-term operation parameters and overhaul point inspection data of equipment manufacturers, big data analysis is carried out, and an analysis result is sent to the expert diagnosis system to support decision making; the expert diagnosis system carries out early warning and intelligent diagnosis on the abnormal vibration phenomenon of the bearing by applying mathematical means such as a neural network, a genetic algorithm and the like, big data analysis, artificial intelligence and the expert system, automatically judges whether the abnormal vibration phenomenon is caused by misoperation of operators or a fault generated by long-term accumulation of equipment and obtains a conclusion; the fault diagnosis module can not only carry out automatic early warning and intelligent fault diagnosis to remind operators of processing abnormity, but also has self-learning self-adaptive capacity, the system can also automatically store and automatically classify processed fault cases, the content of an expert database is further enriched, the safe and stable operation of equipment is better guaranteed, a remote expert carries out fault remote control diagnosis and analysis by using the fault diagnosis system through the mobile internet, and a diagnosis result is sent to the user equipment detection and diagnosis platform;
the three-dimensional overhaul training module reads the simulation data of the equipment process flow simulation module and uses the simulation data for overhaul training; the system has the advantages that the equipment understanding of the overhaul personnel is improved, the system visually trains the operation personnel and the overhaul personnel by virtue of a virtual factory, the learning of relevant personnel on field equipment and working principles is improved, the three-dimensional overhaul training module comprises a personnel management module, a simulation training module and a training and examining module, the personnel management module records personnel registration information, training time, content and examining results, and receives result data of the simulation training module and the training and examining module; the simulation training module realizes equipment disassembly and reassembly one by one based on simulation data of the equipment process flow simulation module, simulates a real equipment overhaul process, and records training time and content into the personnel management module; the disassembly and assembly simulation of the equipment can not only deepen the understanding of the structure and the principle of the equipment, but also can know and master the disassembly and assembly sequence of the maintenance and the preparation of tools and tools; the training and assessment module carries out training and assessment on the maintainers based on the simulation data of the equipment process flow simulation module, and the system automatically scores and assesses and records the evaluation into the personnel management module;
the human-computer interaction interface module realizes the interaction between personnel and the system through the equipment detection and diagnosis platform, is a tool for the interaction between the highly intelligent equipment detection and diagnosis system and operators, and is used for inputting the operation instructions of the operators through the tool and outputting the real-time monitoring data and the three-dimensional rendering data of the diagnosis system and the video image data through the interface; the human-computer interaction interface module is synchronous with at least one remote intelligent terminal through the Internet and keeps data updated in real time;
the remote intelligent terminal operates the equipment detection and diagnosis platform through the human-computer interaction interface module; the user conveniently accesses the intelligent monitoring and diagnosis service through the browser of the remote intelligent terminal, knows the operation, fault, diagnosis and monitoring conditions of the equipment, checks analysis data, tables, reports and the like, and communicates with equipment experts for consultation in real time.
Preferably, the remote intelligent terminal is a computer or a smart phone.
Compared with the prior art, the invention has the following beneficial effects: the intelligent maintenance system has the characteristics of improving the working efficiency, realizing training and examination and intelligent operation on maintainers and the like.
Drawings
Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of non-limiting embodiments with reference to the following drawings:
FIG. 1 is a schematic block diagram of a highly intelligent device detection and diagnostic system of the present invention.
Detailed Description
The present invention will be described in detail with reference to specific examples. The following examples will assist those skilled in the art in further understanding the invention, but are not intended to limit the invention in any way. It should be noted that variations and modifications can be made by persons skilled in the art without departing from the spirit of the invention. All falling within the scope of the present invention.
As shown in fig. 1, the highly intelligent device detection and diagnosis system of the present invention includes a device detection and diagnosis platform 1, a device process simulation module 2, an operation monitoring module 3, a fault diagnosis module 4, a three-dimensional overhaul training module 5, a human-computer interaction interface module 6, and a remote intelligent terminal 7, wherein:
the equipment detection and diagnosis platform 1 is connected with an equipment process flow simulation module 2, an operation monitoring module 3, a fault diagnosis module 4, a three-dimensional overhaul training module 5 and a human-computer interaction interface display screen 6; data interaction and operation control among modules and between the functional module and the display control equipment are realized through the platform;
the equipment process simulation module 2 is used for realizing an all-around three-dimensional intelligent factory and providing a vivid and real three-dimensional environment for a user, the equipment process simulation module 2 comprises a three-dimensional display module 8, a three-dimensional roaming module 9 and a patrol module 10, the three-dimensional display module 8 firstly establishes a three-dimensional simulated virtual factory area, the three-dimensional virtual factory area forms a high-precision equal-proportion three-dimensional model by three-dimensional modeling of main equipment on the basis of a factory area two-dimensional drawing and a three-dimensional model, the three-dimensional scenes are highly matched with the actual factory area arrangement and equipment, then the three-dimensional scenes and the equipment are rendered through a computer graphics technology so as to be displayed in three dimensions, and the three-dimensional rendering content is output to a remote intelligent terminal 7 through a human-computer interaction interface module 6. The three-dimensional roaming module 9 realizes autonomous three-dimensional roaming in a factory through free navigation, manual navigation simulates the roaming process in the factory, details of each part of factory equipment can be seen from different visual angles, any equipment can be selected through a tree-shaped menu in a browser interface through the remote intelligent terminal 7, and the system is positioned to the position of the equipment, so that video monitoring and various detection data of the equipment corresponding to browsing and inquiring of the equipment at any angle are realized. The inspection module 10 can plan and design an inspection route through the remote intelligent terminal 7, and sequentially transfer the equipment detection data and the corresponding video monitoring pictures for intelligent inspection.
The operation monitoring module 3 acquires operation state data, sends the data to the fault diagnosis module 4 and the equipment process flow simulation module 2 through the equipment detection and diagnosis platform 1 for fault judgment and real-time display of monitoring data, and the operation monitoring module 3 comprises a video monitoring module 11, a temperature acquisition module 12, a pressure acquisition module 13 and a vibration acquisition module 14, the video monitoring module 11 realizes monitoring of the full coverage of no dead angle of a factory area, and sends the data to the equipment detection and diagnosis platform 1; the video monitoring module 11 comprises an image acquisition module 20, a cruise monitoring module 21 and a staring monitoring module 22 of the personnel logistics equipment, wherein when equipment faults occur, the image acquisition module 20 acquires image data of corresponding equipment and surrounding environment and sends the image data to the equipment detection and diagnosis platform 1. A cruise route is preset for a spherical monitoring camera in a factory area, then a cruise monitoring module 21 enables the spherical camera to rotate along the set route all the time by calling a preset position, equipment or surrounding environments at a plurality of positions in a certain range are monitored in real time, and video streams are sent to an equipment detection and diagnosis platform 1. And the person logistics equipment gaze monitoring module 22 is used for tracking video monitoring of the person or logistics equipment and sending the video stream to the equipment detection and diagnosis platform 1. The temperature acquisition module 12 acquires real-time temperature data through the temperature sensor and sends the real-time temperature data to the equipment detection and diagnosis platform 1. The pressure acquisition module 13 acquires real-time equipment pressure data through a pressure sensor and sends the real-time equipment pressure data to the equipment detection and diagnosis platform 1. The vibration acquisition module 14 acquires real-time equipment vibration frequency and intensity data through the vibration sensor and sends the data to the equipment detection and diagnosis platform 1.
The fault diagnosis module 4 establishes a strict equipment health monitoring system for important rotating machinery equipment, reads real-time detection data and big data analysis of the operation monitoring module 3, realizes equipment condition diagnosis by an expert diagnosis system, and sends a diagnosis result to the equipment detection diagnosis platform 1; the fault diagnosis module 4 comprises a big data analysis module 15 and an expert diagnosis system 16, wherein the big data analysis module 15 is based on a large amount of real-time data acquisition and comprises design data, installation data, on-site long-term operation parameters and overhaul point inspection data of equipment manufacturers, big data analysis is carried out, and analysis results are sent to the expert diagnosis system 16 to support decision making. The expert diagnosis system 16 performs early warning and intelligent diagnosis on the abnormal vibration phenomenon of the bearing by using mathematical means such as a neural network and a genetic algorithm, big data analysis, artificial intelligence and an expert system, automatically judges whether the abnormal vibration phenomenon is caused by misoperation of operators or a fault generated by long-term accumulation of equipment and obtains a conclusion; the fault diagnosis module can not only carry out automatic early warning and intelligent fault diagnosis to remind operators of processing abnormity, but also has self-learning self-adaptive capacity, for processed fault cases, the system can also automatically store and automatically classify, the content of an expert database is further enriched, the safe and stable operation of equipment is better guaranteed, a remote expert carries out fault remote control diagnosis and analysis by using the fault diagnosis system through the mobile internet, and a diagnosis result is sent to the user equipment detection and diagnosis platform 1;
and the three-dimensional overhaul training module 5 is used for reading the simulation data of the equipment process flow simulation module 2 and using the simulation data for overhaul training. The system can improve the understanding of maintenance personnel on equipment, visually trains operation and maintenance personnel by means of a virtual factory, improves the learning of relevant personnel on field equipment and working principles, and comprises a personnel management module 17, a simulation training module 18 and a training and assessment module 19, wherein the personnel management module 17 records personnel registration information, training time, content and assessment results, and receives result data of the simulation training module 18 and the training and assessment module 19; the simulation training module 18 can realize the equipment disassembly and reassembly one by one based on the simulation data of the equipment process flow simulation module 2, simulate the real overhaul process of the equipment, and record the training time and the content into the personnel management module 17. The disassembly and assembly simulation of the equipment not only can deepen the understanding of the structure and the principle of the equipment, but also can know and master the disassembly and assembly sequence of maintenance, the preparation of tools and appliances and the like, is a three-dimensional visual operation guide specially customized and made for maintainers, has intuitive and vivid process and improves the working efficiency; the training and assessment module 19 can perform training and assessment on the maintainers based on the simulation data of the equipment process flow simulation module 2, automatically score and assess the system, and record the system into the personnel management module 17;
the human-computer interaction interface module 6 is a tool for realizing interaction between a person and a system through the equipment detection and diagnosis platform 1, is used for realizing interaction between a highly intelligent equipment detection and diagnosis system and an operator, and is used for inputting an operation instruction of the operator through the tool and outputting real-time monitoring data and three-dimensional rendering data of the diagnosis system and video image data through the interface; the human-computer interaction interface module 6 can be synchronized with at least one remote intelligent terminal 7 through the Internet to keep data updated in real time;
the remote intelligent terminal 7 is a computer or an intelligent mobile phone and is wide in application range; the remote intelligent terminal 7 operates the equipment detection diagnosis platform 1 through the human-computer interaction interface module 6; the user can conveniently access the intelligent monitoring and diagnosis service through the browser of the remote intelligent terminal, know the conditions of equipment operation, fault, diagnosis, monitoring and the like, check analysis data, tables, reports and the like, and communicate and consult with equipment experts in real time.
Aiming at a two-dimensional video monitoring picture, intelligent monitoring is realized through algorithms such as image processing, pattern recognition and the like. And aiming at the equipment detection data of the three-dimensional platform, a fault diagnosis module based on big data analysis, artificial intelligence and an expert system is realized. The fault diagnosis module establishes a strict equipment health monitoring system for important rotating machinery equipment, is based on a large amount of real-time data acquisition, comprises design data, installation data, on-site long-term operation parameters and overhaul point inspection data of equipment manufacturers, performs early warning and intelligent diagnosis on phenomena such as abnormal vibration of a bearing and the like by using mathematical modeling, big data analysis, artificial intelligence and an expert system, automatically judges whether the phenomena are abnormal caused by misoperation of operators or faults generated by long-term accumulation of the equipment, and obtains a conclusion. The fault diagnosis module can not only carry out automatic early warning and intelligent fault diagnosis to remind operators to handle abnormity, but also has automatic learning ability, and for the fault that has been handled, the system can also learn automatically, further enriches the content of the expert database, and the safe and stable operation of equipment is better ensured, and the expert in a distance can also carry out fault diagnosis and analysis with the help of the fault diagnosis system.
In order to improve the understanding of the overhaul personnel on the equipment, the system visually trains the operation personnel and the overhaul personnel by virtue of the virtual factory, and improves the learning of relevant personnel on the field equipment and the working principle. The device high-simulation three-dimensional model is provided, the three-dimensional overhaul training module can train maintainers, overhaul quality and overhaul level are rapidly improved, high-precision three-dimensional modeling can be carried out from appearance and internal structures, the device can be disassembled and reassembled one by one, and a real device overhaul process is simulated. The disassembly and assembly simulation of the equipment can deepen the understanding of the structure and the principle of the equipment, the disassembly and assembly sequence of maintenance can be known and mastered, the preparation of tools and appliances and the like are three-dimensional visual operation guidance specially customized and made for maintainers, the process is visual and vivid, the working efficiency is improved, the function can be used for training and checking the maintainers, and the system automatically scores and judges.
The intelligent equipment monitoring and diagnosing system based on the internet comprises a three-dimensional visual fault diagnosis system based on big data analysis and an expert system, an equipment three-dimensional digital file, a three-dimensional visual intelligent training system and the like, virtual reality, big data and the like are applied to the industrial field by the system, the site monitoring and accident prediction and diagnosis are convenient, and the crossing from digitalization to intellectualization is realized. The intelligent maintenance system has the characteristics of improving the working efficiency, realizing training and examination and intelligent operation on maintainers and the like.
The foregoing description of specific embodiments of the present invention has been presented. It is to be understood that the present invention is not limited to the specific embodiments described above, and that various changes and modifications may be made by one skilled in the art within the scope of the appended claims without departing from the spirit of the invention.
Claims (2)
1. The utility model provides a high intelligent equipment detects diagnostic system which characterized in that, includes equipment testing diagnosis platform, equipment process simulation module, operation monitoring module, failure diagnosis module, three-dimensional maintenance training module, man-machine interaction interface module and distal end intelligent terminal, wherein:
the equipment detection and diagnosis platform is connected with the equipment process flow simulation module, the operation monitoring module, the fault diagnosis module, the three-dimensional overhaul training module and the human-computer interaction interface display screen; data interaction and operation control among modules and between the functional module and the display control equipment are realized through the platform;
the equipment process simulation module is used for realizing an all-around three-dimensional intelligent factory and providing a vivid real three-dimensional environment for a user, and comprises a three-dimensional display module, a three-dimensional roaming module and a patrol module, wherein the three-dimensional display module firstly establishes a three-dimensional simulated virtual factory area, the three-dimensional virtual factory area is based on a factory area two-dimensional drawing and a three-dimensional model, a high-precision equal-proportion three-dimensional model is formed by three-dimensional modeling of main equipment, the three-dimensional scenes are matched with the actual factory area arrangement and the equipment height, then the three-dimensional scenes and the equipment are rendered through a computer graphics technology so as to be displayed three-dimensionally, and the three-dimensional rendering content is output to a remote intelligent terminal through a human-computer interaction interface module; the three-dimensional roaming module realizes autonomous three-dimensional roaming in a factory area through free navigation, manual navigation simulates the roaming process in the factory area, details of each part of equipment in the factory area are seen from different visual angles, a tree-shaped menu in a browser interface is selected through a remote intelligent terminal to select any equipment, and a system is positioned at the position of the equipment to realize browsing of the equipment at any angle and query of video monitoring corresponding to the equipment and detection data of each part of the equipment; the inspection module plans and designs an inspection route through a remote intelligent terminal, and sequentially calls equipment detection data and corresponding video monitoring pictures for intelligent inspection;
the operation monitoring module acquires operation state data, sends the data to the fault diagnosis module and the equipment process flow simulation module through the equipment detection and diagnosis platform, is used for fault judgment and real-time display of monitoring data, comprises a video monitoring module, a temperature acquisition module, a pressure acquisition module, a vibration acquisition module and a video monitoring module, realizes no dead angle and full coverage of a monitored factory area, and sends the data to the equipment detection and diagnosis platform; the video monitoring module comprises an image acquisition and cruise monitoring module and a person logistics equipment staring monitoring module, wherein when equipment faults occur, the image acquisition module acquires image data of corresponding equipment and surrounding environment and sends the image data to the equipment detection and diagnosis platform; a cruise route is preset for a spherical monitoring camera in a factory area, then a cruise monitoring module enables the spherical camera to rotate along the set route all the time by calling a preset position, equipment or surrounding environments at a plurality of positions in a certain range are monitored in real time, and video streams are sent to an equipment detection and diagnosis platform; the system comprises a person logistics equipment staring monitoring module, a device detection and diagnosis platform and a staff logistics equipment staring monitoring module, wherein the person logistics equipment staring monitoring module is used for monitoring tracking videos of persons or logistics equipment and sending the video streams to the device detection and diagnosis platform; the temperature acquisition module acquires real-time temperature data through the temperature sensor and sends the real-time temperature data to the equipment detection and diagnosis platform; the pressure acquisition module acquires real-time equipment pressure data through the pressure sensor and sends the real-time equipment pressure data to the equipment detection and diagnosis platform; the vibration acquisition module acquires real-time equipment vibration frequency and intensity data through a vibration sensor and sends the data to the equipment detection and diagnosis platform;
the fault diagnosis module establishes a strict equipment health monitoring system for important rotating machinery equipment, reads real-time detection data and big data analysis of the operation monitoring module, realizes equipment condition diagnosis by the expert diagnosis system, and sends a diagnosis result to the equipment detection diagnosis platform; the fault diagnosis module comprises a big data analysis module and an expert diagnosis system, wherein the big data analysis module is based on a large amount of real-time data acquisition and comprises design data, installation data, field long-term operation parameters and overhaul point inspection data of equipment manufacturers, big data analysis is carried out, and an analysis result is sent to the expert diagnosis system to support decision making; the expert diagnosis system performs early warning and intelligent diagnosis on the abnormal vibration phenomenon of the bearing by using mathematical modeling, big data analysis, artificial intelligence and an expert system, automatically judges whether the abnormal vibration phenomenon is caused by misoperation of operators or a fault generated by long-term accumulation of equipment and obtains a conclusion; the fault diagnosis module can not only carry out automatic early warning and intelligent fault diagnosis to remind operators of processing abnormity, but also has automatic learning capability, the system can automatically learn the processed fault, the content of an expert database is further enriched, the safe and stable operation of the equipment is better ensured, and a remote expert carries out fault diagnosis and analysis by means of the fault diagnosis system and sends a diagnosis result to the equipment detection and diagnosis platform;
the three-dimensional overhaul training module reads the simulation data of the equipment process flow simulation module and uses the simulation data for overhaul training; the system has the advantages that the equipment understanding of the overhaul personnel is improved, the system visually trains the operation personnel and the overhaul personnel by virtue of a virtual factory, the learning of relevant personnel on field equipment and working principles is improved, the three-dimensional overhaul training module comprises a personnel management module, a simulation training module and a training and assessment module, the personnel management module records personnel registration information, training time, content and assessment results, and receives result data of simulation training and assessment; the simulation training is based on the simulation data of the equipment process flow simulation module, so that equipment is disassembled and reassembled one by one, the real overhaul process of the equipment is simulated, and the training time and the training content are recorded into the personnel management module; the disassembly and assembly simulation of the equipment can not only deepen the understanding of the structure and the principle of the equipment, but also can know and master the disassembly and assembly sequence of the maintenance and the preparation of tools and tools; the training and assessment module carries out training and assessment on the maintainers based on the simulation data of the equipment process flow simulation module, and the system automatically scores and assesses and records the evaluation into the personnel management module;
the human-computer interaction interface module realizes the interaction between personnel and the system through the equipment detection and diagnosis platform, is a tool for the interaction between the highly intelligent equipment detection and diagnosis system and operators, and is used for inputting the operation instructions of the operators through the tool and outputting the real-time monitoring data and the three-dimensional rendering data of the diagnosis system and the video image data through the interface; the human-computer interaction interface module is synchronous with at least one remote intelligent terminal through the Internet and keeps data updated in real time;
the remote intelligent terminal operates the equipment detection and diagnosis platform through the human-computer interaction interface module; the user conveniently accesses the intelligent monitoring and diagnosis service through the browser of the remote intelligent terminal, knows the operation, fault, diagnosis and monitoring conditions of the equipment, checks analysis data, tables and reports, and communicates with equipment experts for consultation in real time.
2. The highly intelligent device detection and diagnosis system according to claim 1, wherein the remote intelligent terminal is a computer or a smart phone.
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