Big data collection system for load information of power consumers in industrial gathering area

Abstract

The invention discloses a big data collection system for load information of power consumers in an industrial gathering area. The big data collection system comprises a communication network, a cloud data processing server, a data backup server, an identity recognition server, a detection terminal for power grid running parameters in industrial gathering area, a collection terminal for power utilization information of power consumers in industrial gathering area, a collection terminal for running electric power parameters of transformer substation in industrial gathering area, a terminal control platform and an upper control platform, wherein the cloud data processing server is communicated with the data backup server and the identity recognition server through a communication network; the identity recognition server is communicated with the detection terminal for power grid running parameters in industrial gathering area, the collection terminal for power utilization information of power consumers in industrial gathering area and the collection terminal for running electric power parameters of transformer substation in industrial gathering area. The big data collection system can be used for effectively and comprehensively collecting and monitoring data of the running condition of the special power grid in the industrial gathering area and the electric running parameters of the power consumers in the industrial gathering area.

Description

technical field [0001] The invention relates to a large data collection system for power user load information in industrial agglomeration areas, belonging to the technical field of information comprehensive management systems. Background technique [0002] At present, in order to standardize the industrial layout and other needs, industrial industrial clusters have been widely promoted and applied, thus greatly improving the classified management and service capabilities of industrial enterprises, among which power supply is an important basis for industrial industrial clusters However, in the actual work, it was found that due to the variety of electrical equipment used by the power users in the industrial industrial agglomeration area, there are great differences in operating power, etc. The user's load monitoring and management capabilities are limited, which can easily lead to the waste of power supply grid resources and insufficient load of the power grid. The problem...

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Problems solved by technology

[0002] At present, in order to standardize the industrial layout and other needs, industrial industrial clusters have been widely promoted and applied, thus greatly improving the classified management and service capabilities of industrial enterprises, among which power supply is an important basis for industrial industrial clusters However, in the actual work, it was found that due to the variety of electrical equipment used by the power users in the industrial industrial agglomeration area, there are great differences in operating power, etc. The user's load monitoring and management capabilities are limited, which can easily lead to the waste of power supply grid resources and insufficient load of the power grid. The problem is that there is currently no effective system for collecting and organizing power parameter data in industrial agglomerations. At present, it is still only through traditional manual on-site collection and traditional radio frequency signals or network systems for power big data collection, resulting in At present, the ability to collect and manage power big data in industrial agglomerations is seriously lagging behind, and has caused a great negative impact on the normal operation of power grids and industrial agglomerations. The information collection system used by the user load information big data collection system to meet the needs of actual use

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