With the rapid development of urban construction, the heating system is moving towards large-scale and multi heat source direction. The scale of heat supply networks in many cities has exceeded 10 million or even reached over 100 million square meters, forming a pattern of multiple heat sources interconnected. For a multi heat source heating network, it is particularly important to carry out reasonable scheduling and determine the optimized operation mode. The intelligent heating network scheduling system monitors and manages real-time production data of heat sources, pipelines, and heat exchange stations, intuitively and efficiently adjusts various parameters, accurately and timely handles heating accidents, scientifically analyzes various historical data, formulates the best scheduling plan and production operation plan, thereby achieving the effects of scientific scheduling, energy conservation and efficiency improvement, and accident reduction
1. The integrated data acquisition, measurement analysis, and real-time control system mainly consists of instrumentation equipment and on-site PLC controllers
2. Real time data of heat exchange stations and heat users are transmitted to the dispatch management center through various network systems. The management center can also issue control instructions to the on-site controller through the network system to execute control and adjustment instructions
3. Receive data from various on-site monitoring devices, store real-time operating parameters in the data, provide basic data for subsequent management, analysis, and control, store, analyze, alarm, and print reports on the data, issue scheduling control instructions to various on-site devices, and provide decision-making basis for heating processes such as heat source load distribution, heat network balance, and analysis
4. Real time continuous dynamic analysis of uploaded data, and the ability to issue adjustment instructions based on the analysis results
1. Improving system stability: Compared with traditional management models, the operation of the intelligent heating network system greatly improves the efficiency of the heating system, ensures the stability of heating, and achieves unified scheduling and management in different areas through real-time monitoring. It can integrate decentralized heating systems into a unified monitoring network, which has a significant effect on adjusting heating balance, real-time remote monitoring, and improving heating efficiency and quality
2. Improving system security: Due to the real-time monitoring of the status parameters of heat flow through various parts and processes by the heating network monitoring, abnormalities can be detected in a timely manner and the monitoring center can be alerted. Remote control measures can be taken immediately to clarify the cause of the abnormality and take effective response measures. When a system failure occurs during the heating process, the faulty components and parts can be isolated and treated promptly, minimizing their negative impact on the overall operation of the system and ensuring the efficiency and quality of the heating system operation
3. Improving heating efficiency: The application of this system can promote the unification of heating network management, facilitate the coordination and orderly operation of heating systems on a large scale, and real-time parameter collection enables dispatchers to fully control the system operation, and timely detect various abnormalities and faults. By implementing monitoring of changes in heating data, we can better understand the user's heating situation, automatically adjust the heating capacity of the thermal station based on user usage data, achieve coordinated balance, avoid heating waste, improve the economic efficiency of system operation, reduce user burden, and eliminate the negative impact caused by insufficient heating
4. Reducing management costs: This system utilizes information technology and intelligent devices to assist in improving management efficiency, which helps to reduce management costs and achieve reduced staff and increased efficiency. The application of a large number of autonomous intelligent sensing control devices can quickly complete the collection, integration, and analysis of many complex state parameters in a short period of time, providing a basis for the control center to issue timely response instructions. Especially with the application of remote monitoring and fault diagnosis technology, it greatly alleviates the work pressure of management and maintenance personnel. Workers only need to strengthen the analysis and management of various parameters to efficiently complete fault management, thereby reducing work intensity and improving management quality and efficiency
5. Enhancing social benefits: The application of heating network monitoring systems in heating management can bring significant social benefits. Automated, intelligent, and humanized heating monitoring management not only improves management effectiveness and quality, but also provides users with more comprehensive and thoughtful services, reduces management pressure and intensity. At the same time, in today's society that pursues environmental protection, energy conservation, and sustainable development, it also meets the needs of building a harmonious society, meets the goals of reducing pollution energy consumption and improving resource utilization, and has positive significance for promoting the development and management transformation of heating enterprises. It is also an effective practice for promoting sustainable development and achieving environmental protection and energy conservation goals
Address: No. 666 Xinshuini Road, Ganjingzi
District, Dalian, Liaoning Province
Telephone: 0411-66880585/66880562
Fax: 0411-66880585
E-mail: hd_dl@163.com
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protection, perfect cooling and heating solutions.
The products of Dalian Hongding are highly efficient and
easy to use and maintain, achieving energy conservation
and emission reduction, reducing costs and increasing
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