Power consumer load information big data intelligent retrieval system

Abstract

The present invention discloses a power consumer load information big data intelligent retrieval system. The system comprises a communication network, a cloud data processing server, a data backup server, an identity identification server, an information retrieval server, an address encoding server, a data buffer server, a cross-domain information identification server, a network communication protocol server, a power supply power grid operation parameter detection terminal, a power consumer power utility information collection terminal, a transformer station operation electric power parameter collection terminal, a terminal operation platform and an upper control platform. The cloud data processing server is communicated with the data backup server, the identity identification server, the information retrieval server, the cross-domain information identification server, the network communication protocol server, the data buffer server and the address encoding server through the communication network. The power consumer load information big data intelligent retrieval system effectively improves the daily management of the circuit big data and the work efficiency and the precision of the classification query work and has a good system development capacity so as to facilitate realizing cross-domain data exchange and transmission.

Description

technical field [0001] The invention relates to a large data intelligent retrieval system for power user load information, which belongs to the technical field of information comprehensive management systems. Background technique [0002] At present, with the continuous expansion of the power system service system and the continuous increase in the number and types of power users, the amount of power data processing is increasing. At the same time, with the current network technology, information communication technology and big data processing technology, etc. The application in the collection, management and application system of electric power big data has continuously strengthened the network control ability of the current electric power big data information, but in actual work, it is found that although the current electric power big data network system construction technology is relatively mature , and can effectively meet the needs of actual use, but the current infor...

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Problems solved by technology

[0002] At present, with the continuous expansion of the power system service system and the continuous increase in the number and types of power users, the amount of power data processing is increasing. At the same time, with the current network technology, information communication technology and big data processing technology, etc. The application in the collection, management and application system of electric power big data has continuously strengthened the network control ability of the current electric power big data information, but in actual work, it is found that although the current electric power big data network system construction technology is relatively mature , and can effectively meet the needs of actual use, but the current information retrieval system for accessing power big data information is relatively backward, and the local area network type information retrieval system is still used, although it can meet the needs of use to a certain extent, but data retrieval, classification And the management ability is relatively poor, the data processing speed is relatively slow, and it does not have good system expansion capabilities, so it cannot effectively meet the needs of realizing cross-domain transmission and retrieval operations for power big data, which greatly limits the power big data. With the progress and development of data service system and technology, it is urgent to develop an information retrieval system for power big data system to meet the needs of actual use.

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