Method and system of heat network energy consumption index analysis and early warning based on BP neural network

Abstract

The invention relates to the field of energy consumption analysis and prediction of a heat supply system, and particularly relates to a method and system of heat network energy consumption index analysis and early warning based on a BP neural network. The method of the heat network energy consumption index analysis and early warning based on the BP neural network comprises the following steps thatthe working condition data is collected; the working condition data is processed; energy consumption indexes in real time are calculated according to the processed working condition data, and the energy supply situation of the heat network is analyzed; the energy consumption indexes are predicted according to a prediction model; and early warning is carried out on the operation energy consumptionof the heat supply system according to the real-time energy consumption indexes and the predicted energy consumption indexes, and online analysis and comparison are performed on the energy consumption indexes, the energy consumption level of the operation of the heat supply system can be calculated on line in real time, and energy consumption early warning can be achieved based on a prediction result, an operation scheduling strategy is adjusted, the improvement of the fine degree of operation regulation and control of the heat supply system is facilitated, and the operation energy consumption level of a hot net is reduced.

Description

technical field [0001] The invention relates to the field of energy consumption analysis and prediction of a heating system, in particular to a method and system for analyzing and warning energy consumption indicators of a heating network based on a BP neural network. Background technique [0002] The energy consumption of the heating system is an important indicator to measure the operation of the system. It is directly related to the operating cost of the enterprise. The statistics and analysis of the energy consumption index are conducive to grasping the energy consumption status of the enterprise and improving the operation level of the enterprise, so as to implement more refined management. In the early stage of the development of central heating in my country, the automation level of the industry was relatively backward. The data collection process of most heating enterprises was completed manually, and the calculation and analysis of heating system indicators also mai...

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Problems solved by technology

In the early stage of the development of central heating in my country, the automation level of the industry was relatively backward. The data collection process of most heating enterprises was completed manually, and the calculation and analysis of heating system indicators also mainly relied on manual labor. High consumption level

In recent years, due to the development of Internet technology, Internet of Things technology, and communication technology, heating companies have begun to gradually build SCADA platforms for heating systems, which support the unified collection of data from each heating site to the centralized control center for real-time display, but due to various reasons , such as abnormal data communication, fluctuations in working conditions, equipment accuracy, etc., lead to poor quality of data collected by the heating network, often unable to effectively calculate and analyze the energy consumption level of the heating network

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