A heat supply intelligent management system and its working method

Abstract

The invention discloses a heat supply intelligent management system and its working method, belonging to the technical field of heat supply pipe networks. Including central control system, heating network monitoring system, heat metering system, customer service and charging system, and video monitoring system; collecting heating network data, heating user measurement data, room temperature data, charging data, and customer service data through various systems in the heating network and video data, which are classified and integrated by the data warehouse module to form system master data that can be analyzed by the data analysis module. The processing results are sent to the dispatching module, and then the dispatching module makes a unified decision-making dispatch of heating for all levels of systems in the heating network. The invention maximizes the operation management efficiency, effectively improves the heat supply guarantee capability, promotes the optimal allocation of heat energy resources, reduces heat energy loss, and realizes the goal of energy saving and emission reduction.

Description

technical field [0001] The invention belongs to the technical field of heating pipe networks, and in particular relates to a heating intelligent management system and a working method thereof. Background technique [0002] The development process of the central heating system can be divided into four stages: local automation → remote monitoring of the whole process → digitization → intelligence. Throughout the history of intelligent construction of domestic heating enterprises, PLC technology has been popularized in unattended heat exchange stations since 2000; by 2005, with unattended heat exchange stations as the forerunner, and then established a heat supply remote control and adjustment dispatching center, it has been able to Better solve the flow balance problem of the primary network; then in 2008, began to collect and organize the information of heat source, primary network, heat exchange station, secondary network and user's indoor temperature, and entered the balanc...

AI Technical Summary

Problems solved by technology

[0003] The current central heating system mainly has the following defects and deficiencies: 1. With the expansion of the heating scale of thermal power companies and the increasing demand for heating services from heat users, the existing information system cannot support a large number of computing resource pressures and new service requirements. The data of each system is relatively independent, and it is impossible to realize inter-system call, statistical analysis, and guide production and operation; 2. At present, the operation and control of thermal stations still rely on manual experience, which affects the full play of the advantages of central heating

It is mainly reflected in: each single production system has realized remote automatic control, but the whole system has not realized automatic operation, and manual intervention is still required relying on historical experience; there is a lack of unified collation, analysis, utilization and behavior guidance for existing data; the system It is difficult to eliminate the imbalance of operating conditions, resulting in uneven cooling and heating of users; the heating parameters are not operated under the optimal working conditions, and the heat supply does not match the heat demand; the operation data is incomplete, and it is difficult to realize quantitative management

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