Wind power multi-source heterogeneous data acquisition and convergence system based on industrial Internet

Abstract

The invention discloses a wind power multi-source heterogeneous data acquisition and convergence system based on an industrial Internet. The system comprises I region servers deployed in safe I regions of wind power plants, III region servers deployed in safe III regions of the wind power plants, and a cloud server cluster deployed at a cloud end. A forward isolation device is connected between the I-area server and the III-area server, the I-area server and the forward isolation device are in communication connection through a socket client end, the forward isolation device and the III-area server are in communication connection through a socket server end, and the III-area server and the cloud server cluster are in communication connection through kafka. According to the system, rapid, stable and uninterrupted collection and convergence of high-density and large-volume data of the wind turbine generator of each wind power plant accessed to the system can be realized.

Description

Technical field [0001] The present invention relates to the field of data acquisition, in particular, to a wind power multi-source heterogeneous data acquisition convergence system based on an industrial Internet. Background technique [0002] At present, multi-source isomeric data in the field of wind power is mainly derived from wind power grid operating status information collection data, massive wind power power equipment operating status data and defect text logs. Multi-source heterogeneous data in the field of wind power is distributed in different business systems or platforms, and the data volume of the business system or platform is huge. The wind turbine is a single-machine sensor for more than 400, monitor variables more than 1,000 large intelligent equipment, and the required acquisition data granules reaches seconds or even milliseconds. Some special data units can reach 20 megabits, and the data volume is huge. Some wind power data acquisition systems cannot meet th...

AI Technical Summary

Problems solved by technology

Wind turbines are large-scale intelligent equipment with more than 400 single-machine sensors and more than 1,000 monitoring variables. The granularity of collected data needs to reach the second or even millisecond level, and some special data can reach 20 megabytes per piece. The data volume is huge. Now Some wind power data acquisition systems cannot meet the low network bandwidth environment and data transmission stability requirements at the wind farm end, which may easily lead to data leakage and data backlog

Moreover, due to the high requirements of the energy industry on power grid security, the two-way communication between the wind farm and the Internet is blocked by a one-way positive isolation device, and the traditional communication method is subject to many restrictions.

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