CN-117515649-B - Intelligent management system based on heat supply integrated management and control and working method

CN117515649BCN 117515649 BCN117515649 BCN 117515649BCN-117515649-B

Abstract

The invention discloses an intelligent management system based on heat supply integrated management and control and a working method thereof, wherein the intelligent management system comprises a data warehouse, an operation management system, a production management system, a monitoring management system, an equipment facility management system, a charging management system and a customer service management system, wherein the operation management system provides heat supply network balance, energy consumption analysis and operation scheduling functions, the production management system provides online inspection, inspection and maintenance functions, the monitoring management system provides data monitoring and video monitoring functions, the equipment facility management system provides equipment account and spare part management functions, the charging management system provides user files and charging bill functions, and the customer service management system provides customer service and auxiliary customer service decision functions. According to the invention, data sharing among all functional modules is realized through the data warehouse, so that the heat supply operation energy efficiency is reduced, the operation management efficiency is improved, the customer service quality is improved, and the heat supply system has obvious popularization value in the heat supply field.

Inventors

GAO XINYONG
ZHENG LIJUN
FENG YIWU
HUANG PINGPING
YANG ZHIQUN
FANG XINYUE
YANG FAN
WANG HONGSHI

Assignees

华电电力科学研究院有限公司

Dates

Publication Date: 20260505
Application Date: 20231025

Claims (7)

1. The working method of the intelligent management system based on the heat supply integrated management and control comprises a data warehouse, an operation management system, a production management system, a monitoring management system, an equipment facility management system, a charging management system and a customer service management system, wherein the data warehouse classifies and integrates and stores data from the operation management system, the production management system, the monitoring management system, the equipment facility management system, the charging management system and the customer service management system, and the operation management system, the production management system, the monitoring management system, the equipment facility management system, the charging management system and the customer service management system can call all data stored in the data warehouse, wherein: the operation management system comprises a heat supply network balance module, an energy consumption analysis module, an intelligent decision module and an operation scheduling module, wherein the heat supply network balance module, the energy consumption analysis module, the intelligent decision module and the operation scheduling module all transmit all data generated by the heat supply network balance module, the energy consumption analysis module, the intelligent decision module and the operation scheduling module to a data warehouse for storage, and can call all data stored by the data warehouse; the production management system comprises an online inspection module, an intelligent diagnosis module and an overhaul maintenance module, wherein the online inspection module, the intelligent diagnosis module and the overhaul maintenance module all transmit all data generated by the online inspection module, the intelligent diagnosis module and the overhaul maintenance module to a data warehouse for storage, and can call all data stored in the data warehouse; The monitoring management system comprises a data monitoring module, a video monitoring module and an intelligent analysis module, wherein the data monitoring module, the video monitoring module and the intelligent analysis module all transmit all data generated by the data monitoring module, the video monitoring module and the intelligent analysis module to a data warehouse for storage, and all data stored in the data warehouse can be called; The equipment facility management system comprises an equipment account module, a spare part management module and an intelligent evaluation module, wherein the equipment account module, the spare part management module and the intelligent evaluation module transmit all data generated by the equipment account module, the spare part management module and the intelligent evaluation module to a data warehouse for storage, and can call all data stored in the data warehouse; The charging management system comprises a user file module, a charging bill module and an intelligent report module, wherein the user file module, the charging bill module and the intelligent report module all transmit all data generated by the user file module, the charging bill module and the intelligent report module to a data warehouse for storage, and can call all data stored in the data warehouse; The customer service management system comprises a service processing module, an auxiliary decision module and an intelligent evaluation module, wherein the service processing module, the auxiliary decision module and the intelligent evaluation module all transmit all data generated by the service processing module, the auxiliary decision module and the intelligent evaluation module to a data warehouse for storage, and can call all data stored in the data warehouse, and the working method is characterized in that: Aiming at the operation management system, a heat supply network balancing module analyzes whether the distribution of flow and heat in each pipeline of the heat supply network is balanced or not according to the real-time heat load demands of heat users connected with each pipeline of the heat supply network by utilizing real-time data of each measuring point of the heat supply network, and feeds back the analysis result to an intelligent decision module; the energy consumption analysis module analyzes heat consumption index and water consumption index of the heat supply network from three dimensional statistics of heat source first station, heat station and heating building by utilizing real-time data of each measuring point and operation data of each equipment of the heat supply network, analyzes power consumption index and water consumption index of the heat supply network from two dimensional statistics of heat source first station and heat station, analyzes heat loss index and water loss index of the heat supply network from two dimensional statistics of primary network and secondary network, and feeds back index results of statistical analysis to the intelligent decision module, firstly analyzes heat load real-time demand predicted value of the heat supply user by utilizing machine learning algorithm according to weather parameters, target room temperature, heat user property and building property, then corrects the heat load real-time demand predicted value of the heat supply user by utilizing measured room temperature, obtains heat load real-time demand real-time value of the heat supply user, and transmits the heat load real-time demand real value of the heat user to the heat network balance module, utilizes real-time data of each measuring point of the heat supply network and operation characteristics of each equipment of the heat supply network, and feeds back operation scheduling strategy of the heat supply network to the intelligent decision module, and utilizes the analysis result of the heat network balance module and the energy consumption analysis module to make operation strategy of the heat supply network according to the heat supply network, and then carries out remote operation system operation control and operation strategy to realize the remote control and operation system after the heat supply system has been corrected to the heat supply network system has been scheduled and adjusted, the remote regulated real-time data of each measuring point and the running data of each device are fed back to a heat supply network balance module and an energy consumption analysis module; Aiming at a production management system, an online inspection module firstly establishes daily inspection work tasks according to a heat supply production plan, the running state of each equipment of a heat supply network, abnormal running events of the heat supply network and weather phenomena of rain and snow, secondly evaluates and analyzes the workload and the work effect of inspection personnel, distributes the daily inspection work tasks to each inspection personnel according to evaluation and analysis results, and then remotely acquires inspection result information of the inspection personnel online and feeds the inspection result information back to an intelligent diagnosis module; the intelligent diagnosis module diagnoses whether the operation state of the heat supply network is normal or not according to the operation state of each equipment of the heat supply network, real-time data of each measuring point of the heat supply network, inspection result information and inspection result information of each heat supply network, utilizes a machine learning algorithm to identify defects, fault events and evaluation potential defects and fault events existing in the heat supply network system on line, formulates defect and overhaul tasks, feeds back the defect and overhaul tasks to an overhaul maintenance module, evaluates and analyzes the workload and the work effect of the overhaul personnel and distributes the defect and overhaul tasks to each personnel according to the evaluation analysis result, then remotely acquiring overhaul and maintenance information recorded by an overhaul worker for completing the defect elimination and overhaul work; Aiming at the equipment facility management system, an equipment account module is used for counting, searching and updating basic information and use information of equipment facilities, and utilizing unified equipment facility codes to establish standardized equipment facility information files, and simultaneously feeding back the basic information and the use information of the equipment facilities to an intelligent evaluation module, wherein the basic information refers to names, specification models, equipment parameters, manufacturers and use specifications of the equipment facilities, the use information refers to the operation quantity, installation and completion information, operation abnormality and fault information, defect elimination and maintenance information, replacement times, replacement time and replacement reasons of the equipment facilities; Aiming at a monitoring management system, a data monitoring module collects real-time measured data of measuring points of instruments and meters in a heat supply network system and operation data of equipment facilities in the heat supply network system in real time, alarms abnormal data in the operation process of the heat supply network system in real time, and feeds back the monitoring data to an intelligent analysis module; Aiming at a charge management system, a user file module is used for counting, searching and updating basic information and service information of a hot user, and utilizing unified hot user codes to establish a standardized user information file, and simultaneously feeding back the basic information and service information of the hot user to an intelligent report module, wherein the basic information refers to personal information, heating type, heating area and geographic position of the hot user, and the service information refers to heating state information, payment state information, bill state information and cost adjustment information of the hot user; Aiming at a customer service management system, a service processing module is used for consultation service management, report repair service management and complaint service management of a hot user, a service request work order is generated according to service handling requirements of the hot user, then the service request work order is distributed to different staff to conduct service handling, supervision and return visit, and service handling information is fed back to an intelligent evaluation module, an auxiliary decision module firstly automatically matches similar standard question-answer knowledge from a data warehouse according to recognized hot user incoming call requirement information and displays the same on a customer service work interface so as to assist the customer service staff to conduct service, secondly automatically matches user information files of the hot user, heat network operation monitoring data of an area where the hot user is located, heat network maintenance information and incoming call requirement information of other hot users in the data warehouse and displays the same on a customer service work interface so as to assist the customer service staff to conduct incoming call service, and feed back the incoming call requirement information and the requirement processing result to the intelligent evaluation module, and the intelligent evaluation module evaluates the working efficiency and service quality of the staff and the good behavior grade of the hot user by utilizing a machine learning algorithm.
2. The method according to claim 1, wherein the operation management system updates the heat load demand of the connected hot users, the valve on-off state of the heat network management line model and the heat network operation scheduling policy in real time according to the data information generated by the on-line inspection module and the on-line inspection module of the production management system obtained from the data warehouse.
3. The method according to claim 1, wherein the charging management system performs real-time heat supply stop-supply or start-up service, increase or decrease heat supply area service, make-up or pay-back service according to data information generated by an online inspection module and an online inspection module of the production management system obtained from a data warehouse.
4. The method for operating an intelligent management system based on integrated heat supply management and control according to claim 1, wherein the production management system corrects daily inspection tasks in real time according to data information generated by an intelligent evaluation module of the facility management system obtained from a data warehouse.
5. The method for operating an intelligent management system based on integrated heat supply management and control according to claim 1, wherein the production management system corrects daily inspection work tasks and inspection work tasks in real time according to data information generated by a data monitoring module, a video monitoring module and an intelligent analysis module of the monitoring management system obtained from a data warehouse.
6. The method for operating an intelligent management system based on integrated heat supply management and control according to claim 1, wherein the facility management system updates basic information and usage information of facilities in real time according to data information generated by a overhaul and maintenance module of the production management system acquired from a data warehouse.
7. The method for operating an intelligent management system based on integrated management and control of heat supply according to claim 1, wherein the customer service management system assists customer service personnel in providing an incoming call answering service for a heat user according to data information of the operation management system, the production management system and the charge management system obtained from a data warehouse.

Description

Intelligent management system based on heat supply integrated management and control and working method Technical Field The invention belongs to the technical field of intelligent heating control, and particularly relates to an intelligent management system based on heating integrated control and a working method. Background The city central heating system consists of heat source, heat network and heat user, and is used to heat the heat user via heat source, regional boiler, etc. and heat pipe network. With the continuous development of economy, the acceleration of urban process and the gradual improvement of the living standard of people, the urban heat supply network becomes more and more huge in scale, thereby greatly increasing the control difficulty of a heat supply system. At present, the intelligent management and control level of basic-level heat supply enterprises is low as a whole, the production operation management mode is still manual rough management, the functions of charge management, customer service management and the like are low, the account information is deficient and the real-time updating maintenance is lacking, so that the service information is asymmetric, the phenomena of bill leakage, bill error and the like exist, the service work complexity is increased, the whole service quality level is reduced, and the enterprise management cost is suddenly increased. Particularly, information gaps exist among management modules of the heating system, so that blindness exists in various business development and the business is in a passive state in communication with clients, and accurate and efficient service cannot be provided. In the technical field of intelligent heat supply management, the prior patent technology is, for example, (1) a technology with the application number 202310704190.4 is that weather information is introduced into a heat supply loss analysis management system through an urban heat supply comprehensive intelligent management system based on big data analysis so as to realize accurate heat supply, so as to solve the problems that heat supply experience is poor, heat supply does not reach an expected effect and the like caused by the fact that the current heat supply does not take weather influence into consideration, and (2) a technology with the application number ZL 202011022825. X is that a heat supply intelligent management system and a working method comprising management modules such as heat supply network monitoring, heat metering, customer service and charging are constructed, unified classification management and data analysis processing are carried out on heat supply network data acquired by each stage of the heat supply network, metering data of heat users, room temperature data, charging data, customer service data and video data, and unified decision scheduling of each system of the heat supply network is carried out by an auxiliary scheduling decision module so as to reduce heat energy loss, and (3) a technology with the patent number ZL202211683365.X is that the intelligent urban heat supply management system based on the Internet of things is that the heat supply intelligent city heat supply management system is constructed, the heat supply management system is constructed, and the heat supply system is connected with operation and maintenance management, so that the unified heat supply system is guaranteed to be safe and high in maintenance. In summary, the prior art only realizes the data intercommunication and interconnection of the management modules of the heating system part, and improves the management efficiency to a certain extent. However, the problems of inefficiency and blindness in developing various services of the heating system caused by the fact that the data of each management module cannot be shared still cannot be fundamentally solved, and high-quality service cannot be provided for heat users. Disclosure of Invention The invention aims to overcome the defects in the prior art and provide an intelligent management system based on heat supply integrated management and control and a working method thereof, wherein the intelligent management system is reasonable in design. The invention solves the problems by adopting the technical scheme that the intelligent management system based on heat supply integrated management and control is characterized by comprising a data warehouse, an operation management system, a production management system, a monitoring management system, an equipment facility management system, a charging management system and a customer service management system, wherein the data warehouse integrates and stores data from the operation management system, the production management system, the monitoring management system, the equipment facility management system, the charging management system and the customer service management system in a classified manner, and the operation management system, the production managem