Principles, Features, And Advantages of Smart Heating (2)
Intelligent scheduling: The system can accurately predict the heat load by automatically analyzing the heat load characteristics of each building. Then, according to the selected appropriate operation scheduling mode, the scheduling scheme of the heat source, heating pipe network, heating station, and the heating user is adjusted.
Intelligent adjustment: heat users can control the room temperature according to their own needs.
Intelligent diagnosis: Through the collection and analysis of heating data, it can diagnose abnormal conditions in time and give relevant reminders.
Intelligent maintenance: Intelligent scheduling, path planning, service quality, and assessment analysis for inspection, repair, maintenance, and other production and maintenance activities through geographic information system technology and intelligent processing algorithms.
From the perspective of the development trend of heating, the city-level heating network can ensure the safety of city-level heating and the efficient use of energy to the greatest extent through interconnection. It is foreseeable that the city-level heat network will become larger and more complex, various heat sources such as renewable energy will be integrated into it, and users' expectations for on-demand heat supply are also increasing. In order to achieve the safety and efficiency of the entire heat network, and at the same time to take into account the individual heat needs of customers, it is difficult to achieve only by experience control. Both the effect and the efficiency are difficult to achieve, and it must be through the integration of informatization and industrialization. By analyzing and simulating the data of the entire heat network, it can predict the potential safety hazards and the pros and cons of different control schemes, and assist the control personnel to make decisions and feedback on the control results in real-time. Compared with the original prediction, find the reasons for the gap and continue to optimize, and finally realize the optimal scheduling plan for the entire heat network regulation under the premise of safety. This process is the self-organization, self-checking, self-balancing, and self-optimization of the heat network under the integration of the two.
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