What is the specific solution of intelligent heating?

For a long time, the operation scheduling control of heating system mainly depends on the knowledge and experience of production experts. However, with the continuous expansion of the scale of heating system and the improvement of regulation frequency and accuracy, it is difficult to ensure the safe and efficient operation of heating system by traditional manual control methods.

At present, a new generation of information technology, such as industrial Internet, cloud computing, big data, artificial intelligence and so on. It has shown great ability in the operation management, dispatching control and element configuration of complex production systems, and the development of intelligent heating has become the knowledge of heating industry in China.

Intelligent heating is a modern heating mode with the characteristics of self-perception, self-analysis, self-diagnosis, self-decision and self-learning, which is based on the deep integration of digital, networked and intelligent information technology and advanced heating technology, aims at users' needs, and is characterized by low carbon, comfort and high efficiency. Intelligent heating is based on intelligent heating system. With the development of urban heating, the complexity of heating physical equipment network is also increasing. The traditional heating system is difficult to meet the needs of refined operation and personalized service, and it is bound to become intelligent.

Deepen the intelligent construction to a relatively complete heating process, so that the system has the analysis and decision-making ability in the process of heating production and service: predict the future trend of physical equipment network and heating parameters through intelligent behaviors such as self-learning, independent judgment, optimal configuration and upgrading ability; The control model obtained by artificial intelligence is used to control the physical equipment network and complete the work that human beings can't achieve.

Heat exchange station-digital dual-computer monitoring system

Provide network-based digital twin modeling and visualization services. Support the three-dimensional modeling and rendering of heat exchange station equipment, improve the visualization of heating system, realize real-time monitoring, forecasting and alarm, advanced maintenance and data analysis of equipment, ensure the normal operation of heating system, optimize system operation, reduce energy consumption and realize energy saving and emission reduction. With the help of automation technology, Internet of Things technology and GIS (Geographic Information System), the centralized management and visual display of heat users and indoor temperature, pipe network pressure, flow rate, temperature and other parameters are realized, and quantitative decision-making is assisted, and the whole process of production, management and service of heating system is managed more carefully and dynamically, so as to achieve the purposes of safe heating, balanced heating, accurate heating, on-demand heating, energy saving and consumption reduction, and leakage reduction. Eliminate hot spots and non-hot spots, and improve the heating service level and business management system from heat source-pipe network-users.

2D panels on both sides of the scene integrate the details of community heating, focusing on key information such as equipment temperature, energy efficiency and alarm. Hightopo Through the detailed display of heating, the community can deeply understand the heating demand, including the peak-valley value in different time periods and the difference of community heat load. It is also helpful for residents and managers to better understand the utilization of heat energy and optimize the operation of heating system. At the same time, residents are encouraged to participate in energy conservation and environmental protection, and measures are taken to reduce environmental impact and improve energy efficiency.

In the visualization system, the three-dimensional model is used to bind IOT data, and the water level signal is combined to realize automatic water replenishment to meet the water demand of the system. The 2D pop-up window can be used to view the changes of pH value, turbidity, dissolved oxygen content, water supply pressure, temperature and other parameters, as well as the three-dimensional real-time animation of water level replenishment.

In terms of improving operation efficiency: HT supports 7*24h monitoring and key parameter optimization, which can improve operation efficiency, reduce energy waste, reduce costs and enhance the sustainability of the whole heat exchange station.

In the aspect of fault early warning and prevention, HT visual monitoring system monitors the equipment status in real time and generates alarm list quickly. Help to predict potential failures, take preventive maintenance, reduce downtime and improve system reliability.

In the aspect of remote management and maintenance, operators are allowed to access the system remotely, which improves the flexibility of work and reduces the maintenance cost, and there is no need to monitor and manage the whole system in person.

In data analysis and optimization, it provides trend analysis and energy consumption statistics of historical data, supports data-driven decision-making of the operation team, and helps the system to optimize and improve performance for a long time.

In terms of security compliance: it has strict user authority control and security functions to ensure the confidentiality and integrity of system data, meet regulatory requirements and ensure system security.