Heat supply system thermal delay time identification method based on Pearson correlation coefficient and moving average method

Abstract

The invention relates to the technical field of heat supply, and discloses a heat supply system thermal delay time identification method based on a Pearson correlation coefficient and a moving averagemethod. The method is based on historical big data; external climate data and building temperature are combined; the method is based on a Pearson correlation coefficient and a moving average method.The thermal response time of the heating station or the secondary network is automatically obtained through a data identification method; according to the method, only common historical operation dataof the heat supply system needs to be obtained; the thermal response time of the heat supply system is identified through a big data method; the method does not depend on high-quality data collection, is not liable to be affected by single fault data or abnormal data, formulates different energy storage or scheduling strategies according to different delay time of the heat supply network based onan identification result, facilitates the improvement of the refinement degree of the operation and regulation of the heat supply system, and reduces the operation energy consumption level of the heat supply network.

Description

technical field [0001] The invention relates to the field of thermal delay time analysis and identification of a heating network and a thermal station in a heating system, in particular to a thermal delay time identification method for a heating system based on Pearson correlation coefficient and moving average method. Background technique [0002] The regulation of the secondary network of the traditional central heating system has problems such as large lag and thermal inertia. The thermal response time of each secondary network and each thermal station and user under the heating network is different due to different working conditions, scales and weather temperatures. , so the operator often needs to go through the repeated calibration process of adjustment, stabilization, and re-adjustment for each station, which is inefficient and requires a high technical level of the operator. In addition, in the early stage of the development of central heating in my country, the aut...

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Problems solved by technology

[0002] The regulation of the secondary network of the traditional central heating system has problems such as large lag and thermal inertia. The thermal response time of each secondary network and each thermal station and user under the heating network is different due to different working conditions, scales and weather temperatures. , so the operator often needs to go through the repeated calibration process of adjustment, stabilization, and re-adjustment for each station, which is inefficient and requires a high technical level of the operator

In addition, in the early stage of the development of central heating in my country, the automation level of the industry was relatively backward. Today, heating companies are gradually building SCADA platforms for heating systems, which support the unified collection of data from various heating sites to the centralized control center for real-time display. However, 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

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