Hardware diagnosis system based on edge operation

Abstract

The invention discloses a hardware diagnosis system based on edge operation. The system comprises a bottom information collection layer, the bottom information collection layer acquires single board working state information and chip working state information on an internal circuit board of the power instrument, and returns single board working state information data and chip working state information data to the operation edge layer through a bottom communication network for operation of a diagnosis algorithm; the operation edge layer receives the updated service data and prior data distributed by the cloud of the service distribution layer; through the edge computing architecture, the cloud pressure of the diagnosis system is reduced, Meanwhile, the computing power utilization rate of each idle instrument in the power instrument is increased. Meanwhile, through a cloud-edge structure, an algorithm and a database can be updated online in real time, and uninterrupted dynamic expansionand upgrading are achieved.

Description

technical field [0001] The invention relates to the field of electric power technology, in particular to a hardware diagnosis system based on edge computing. Background technique [0002] At present, the complexity of program algorithms in the electric power field is relatively low, resulting in the idle computing power of a large number of programmable computing chips, and the traditional C-S architecture diagnostic system has a shortage of server computing power due to the huge amount of data. In addition, the existing diagnostic system has a large time delay, and usually needs to be upgraded offline or needs to be replaced to add new functions. Contents of the invention [0003] The present invention provides a hardware diagnostic system based on edge computing for the above shortcomings of the existing C-S architecture diagnostic system, which reduces the pressure on the cloud of the diagnostic system through the edge computing architecture, and at the same time increa...

AI Technical Summary

Problems solved by technology

[0002] At present, the complexity of program algorithms in the electric power field is relatively low, resulting in the idle computing power of a large number of programmable computing chips, while the traditional C-S architecture diagnostic system has a large amount of data, resulting in a shortage of server computing power

In addition, the existing diagnostic system has a large time delay, and usually needs to be upgraded offline or the device needs to be replaced to add new functions

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