Font Size: a A A

Research On Intelligent Heating System Control Technology Based On Internet Of Things

Posted on:2017-05-28Degree:MasterType:Thesis
Country:ChinaCandidate:B F YuFull Text:PDF
GTID:2132330482497673Subject:(degree of mechanical engineering)
Abstract/Summary:PDF Full Text Request
In order to implement the urban central heating network quality and tone of the policy response to the call of environmental protection and energy saving, networking and application of computer-based control technology, combined with distributed control of ideological construct "Things+heating network control" intelligent monitoring system designed remote intelligent monitoring platform:including the development of DCS configuration of the electronic control system, programming the programmable control, touch-screen design and PC, as well as intelligent monitoring platform based on a set of line with China’s basic national conditions Heating Network Monitoring regulation strategies. Allows remote monitoring center and on-site decentralized control centers for joint control, operating parameters can be collected to achieve thermal network intelligent adjustment based on heat transfer station site; by building a temperature compensation function, give full consideration to the heat network operation lag, nonlinear characteristics, blend classic PID control, the development of advanced PID control Warming adjustment mode, the heating network system to achieve security, stability, energy-saving operation, and the program has good portability warming;Through in-depth study of the urban central heating pipe network dynamic model based on the proposed method Warming specific model and fuzzy control combined, fully verify the validity and accuracy of the proposed dynamic model and algorithms, reduce the overshoot, heating network to enhance stability control systems; Conjugate gradient algorithm, to establish energy cost equation is set as the objective function, the constraint problem into unconstrained problem by cubic interpolation linear search, solved a network Flow and temperature control of the optimal solution, the mathematical model is embedded control system to optimize a network flow and return temperature parameters. The results showed that the thermal network intelligent monitoring system parameters can be achieved on the heat distribution network optimization and monitoring in smart mode, and promote the improvement of urban central heating system operation and management level of a certain significance.
Keywords/Search Tags:Things, Central heating, Warming-PID, Thermal load budget, RMON
PDF Full Text Request
Related items