Power fault information real-time acquisition and diagnosis system based on cloud data

Abstract

The invention discloses a power fault information real-time acquisition and diagnosis system based on cloud data. The system mainly comprises a cloud data center, an early-warning predicating system,an acquiring and positioning system, an infrared image analysis system, an accessing retrieval system and a reporting fault pre-checking system. The cloud data center comprises a cloud database, a cloud computing system and an authority distributing system. The cloud database is used for storing system data. The cloud computing system is used for processing and computing various data in the system. The authority distributing system is used for performing authority grading on the data in the cloud database. The cloud data center is connected with the early-warning predicating system, the acquiring and positioning system, the infrared image analysis system, the accessing retrieval system and the reporting fault pre-checking system. The power fault information real-time acquisition and diagnosis system can acquire power information in real time and performs prediction diagnosis. Furthermore the power fault information real-time acquisition and diagnosis system performs data management incooperation with cloud data. The power fault information real-time acquisition and diagnosis system has advantages of high safety, high accuracy and high convenience in using the system.

Description

technical field [0001] The invention relates to the field of electric power technology, in particular to a system for real-time collection and diagnosis of power failure information based on cloud data. Background technique [0002] Electricity is the foundation of the national economy and an important pillar industry. It is closely related to the prosperity of the country and the well-being of the people. Therefore, the power system must be safe and reliable. The development of the power grid and the progress of society have put forward higher requirements for the operation of the power grid, and it is particularly important to strengthen the diagnosis and treatment of power grid faults. [0003] Common power failures include: generator set failures, transmission line failures, substation failures, bus failures, and power outages in the whole plant and the whole station. As the scale of the power system becomes larger and the structure becomes more and more complex, faults...

AI Technical Summary

Problems solved by technology

At the same time, with the continuous increase of power load, substation explosion accidents occur frequently, seriously endangering the lives of corresponding staff, etc.

[0004] With the increasing power consumption, the information collection system for power faults in the existing technology has gradually been unable to meet the increasingly complex power fault collection. With the rapid development of big data and cloud platforms, there is now a need for a A new system that effectively uses cloud data to collect and diagnose power fault information in real time to improve the efficiency of power fault monitoring

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