Abstract
At present, China's central heating industry is developing rapidly. It is an important direction for the transformation and upgrading of the energy industry to use the advantages of advanced information and communication technology and platform to promote the intelligent energy production, promote the interconnection of various types of energy flow network and the coordinated transformation of various energy forms. In the framework of the era of industrial of Things, the introduction of Internet + technology helps to improve the production, operation, management and service level of central heating system from the system engineering level. The Internet + intelligent heating system in the field of central heating integrates heating physical system and information system deeply, forming a new application mode of digital twin. It takes source -- heat network -- heat station -- user heat transfer as the main line and adopts B/S architecture. It consists of data perception layer, data acquisition layer, data access layer, business logic layer, presentation layer and terminal access layer. In a Internet + intelligent heating platform demonstration construction applications, through the construction of entire network hydraulic balance analysis, the source network integration of collaborative scheduling, energy consumption statistics and analysis, management fees management, customer service management subsystem module, such as the heating index to reduce energy consumption, operating cost savings, improve work efficiency and service quality improvement has made significant achievements.
Highlights
IntroductionChinese central heating industry rapid development. In the production and operation of thermal enterprises, there are problems such as the overall low level of intelligence and extensive management mode: first, a considerable part of central heating systems have not yet realized the remote transmission and remote control of important parameters, lack of data support for online diagnosis and real-time analysis, hydraulic imbalance and cold and heat imbalance often occur; Second, due to the lack of guarantee for data collection and data sharing, it is difficult to evaluate the index economy and operation timeliness before and after the implementation of intelligent heat network
At present, Chinese central heating industry rapid development
The charging customer service system function is not perfect, hot user service can’t meet the requirements of the Internet information age; Fourth, in the established heating operation management platform, there are information barriers between heat source, heat network, heat station and users, and the operation adjustment strategy is mostly based on local system consideration, which fails to realize the cooperative control of source and network [1]
Summary
Chinese central heating industry rapid development. In the production and operation of thermal enterprises, there are problems such as the overall low level of intelligence and extensive management mode: first, a considerable part of central heating systems have not yet realized the remote transmission and remote control of important parameters, lack of data support for online diagnosis and real-time analysis, hydraulic imbalance and cold and heat imbalance often occur; Second, due to the lack of guarantee for data collection and data sharing, it is difficult to evaluate the index economy and operation timeliness before and after the implementation of intelligent heat network. 3."Internet +" Intelligent Heating System Construction Content "Internet +” intelligent heating system with “heat source heat supply network - transfer station - the user thermal transfer" as the main line, covering the civil heating and industrial steam supply two kinds of business model, with the lean operation management service as the core, the unified deployment of network resource database, through running, collect fees, customer service, energy consumption, management and other business applications of data channels, Realize the full interactive call of the data of each functional subsystem in the platform, and promote the online real-time collaboration of various services.
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