An intelligent diagnosis system and method

Abstract

The invention discloses an intelligent diagnosis system and method. The system includes: a main system, including a system main control board, a main hub board and several data boards, and a system main control board, a main hub board and data boards The data bus and control bus connected by the card; the subsystem, including the system main control board, the slave hub board and several data boards, and the data bus and control board connected with the system main control board, slave hub board and data board The bus; the main hub board and the slave hub board are connected to the sensor; the diagnosis and prediction board is connected to the system main control board. The present invention can realize the real-time memory operation of the data detected by the sensor, avoid the time-consuming operation of the frequency I / O of the batch data, adopt the configurable data acquisition mode of interest, and avoid the processing of a large amount of redundant data; at the same time, the equipment The "online" processing and analysis of the middle data board operation data can predict the failure, speed up the production progress, and improve the productivity of the equipment.

Description

technical field [0001] The invention relates to the technical field of equipment fault diagnosis, in particular to an intelligent diagnosis system and method. Background technique [0002] With the advancement of science and technology and the development of computer science, various devices have begun to evolve into large-scale, complex, and intelligent devices, making machines or devices closer to or meeting the operating habits and functional needs of natural people. However, in the same way, the intelligence of machines and equipment is based on the complexity of machine design, manufacture and operation. The operation of intelligent equipment is usually accompanied by various problems. The appearance of the problem often has a "hysteresis", that is, once the machine shows the problems that people can find, the machine is already "disease-ridden". At this time, the problem location, repair, maintenance, etc. are relatively very cumbersome, usually relying on the engineer...

AI Technical Summary

Problems solved by technology

The emergence of problems often has a "lag", that is, once the machine shows problems that people can find, the machine is already "ridden with diseases". Troubleshooting, it is impossible to quickly locate the problem, quickly restore the normal operation of the equipment, and cannot complete the inheritance of technology

[0003] The common method used in the industry to solve the above problems is to add various sensing devices to detect the temperature, humidity, pressure, current and other factors inside the device in real time. The detected data needs to be stored in real time, which greatly increases the storage time and storage space, that is, the space complexity and time complexity will increase linearly or even exponentially; when a fault occurs, it is often only Need the data of the first few seconds or few minutes before the failure occurs. A large amount of data is garbage or redundant data, which not only takes up a lot of hardware space, but also increases the hardware cost. Also because of the high-frequency I / O operation of the computer, the reduced run time, affecting the overall performance of the device

[0004] In addition, the industry generally detects and handles faults after the fault occurs, shutting down for processing, and does not adopt some fault prediction mechanism to avoid simple or repeated faults. Although the fault problem can be finally solved, it will lead to MTTR (Mean Time To Repair, the average time before recovery) is large, which affects the production schedule and reduces the productivity of the equipment

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