Heat exchange station load prediction system based on time sequence database platform

Abstract

The invention relates to the technical field of central heating heat exchange station load prediction, and discloses a heat exchange station load prediction system based on a time sequence database platform. The heat exchange station load prediction system based on the time sequence database platform comprises a communication module, a weather forecast acquisition and transmission module, a load prediction module and a time sequence database system, and heat exchange station acquisition data passes through the communication module, an SCADA server and a data access storage interface. Through a file system and the relational database, less disk occupation and high read-write speed are achieved, firstly, less disk space is occupied after data are compressed, and the disk space occupation is only 35%; secondly, the data write speed is higher, and the write speed is increased by three times; and finally, the data read speed is higher, and the read speed is improved by 20 times. Compared with the problem of information loss caused by lossy compression adopted by a general real-time database, the lossless compression method adopted by the system has no information loss.

Description

technical field [0001] The invention relates to the technical field of load forecasting of centralized heat supply and heat exchange stations, in particular to a heat exchange station load forecast system based on a time series database platform. Background technique [0002] Urban heating is one of the important infrastructures of northern cities in my country. With the country's increasing emphasis on energy conservation and emission reduction, most areas have adopted centralized heating. However, since the central heating system is a multi-variable and time-varying system with a large lag that is closely related to weather changes, the analysis of the operating conditions of the system is very complicated. Therefore, a load forecasting system is configured for the heat exchange station during the operation adjustment process of the heating system. , which helps the heating system dispatching center to make overall arrangements for the coordination and cooperation of heat ...

AI Technical Summary

Problems solved by technology

Real-time database software mostly uses lossy compression methods to reduce storage space and improve read and write speeds, and lacks a time-series database system with lossless compression and efficient read and write

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