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The Research Of Health And Energy Saving Strategies Based On Architectural Smart Power Utilization System

Posted on:2017-05-22Degree:MasterType:Thesis
Country:ChinaCandidate:S J WangFull Text:PDF
GTID:2272330482494615Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
Mature development of wireless communication technology and embedded technology is boosting the progress of networking technology. People on the indoor environment have become increasingly demanding and in order to improve efficiency and enjoyment of life, the indoor environment healthy and intelligent energy saving has been widespread concern. Architectural smart power utilization system based on Internet of Things technology with the goal of energy-saving and health, using the hardware and software platform to achieve intelligent control room health data collection and electrical equipment, creates a comfortable and healthy, intelligent energy-saving building environment. This paper describes the architecture of intelligent power system and its hardware and software strategy to achieve energy-saving health.Realization of building intelligent power saving system health policy, the need for healthy indoor environment parameters that affect quantitative analysis and determine the reasonable range, for example, PMV-PD indicators of temperature and humidity, CO2 concentration of the PD indicators; these data and indicators develop energy-saving health policy to provide reasonable data base and comfort range. To achieve dynamic control of indoor lighting conditions, standards based finishing in different places on the proposed association model of illuminance and power density; changes breeze speed can have a significant impact on the indoor CO2 concentration, correlation model CO2 concentration and wind speed for the indoor CO2 concentration is adjusted to provide an effective way. Improved particle swarm algorithm for multi-objective optimal parameters to solve the problem, to find the optimal solution of dynamic range for the health system to achieve energy saving strategies. Dynamic Optimal Control and steady state control comparison, to achieve a 17.3% energy savings.In this paper, the design of the hardware platform architecture of intelligent power system C /S the overall architecture, embedded hardware-based, via ZigBee, WiFi and TCP/IP and other network technology to achieve healthy indoor parameters remotely view and control. The room controller and indoor detection node and the control terminal of each composition WiFi network data exchange, intelligent room controller uses ZigBee gateway and network communications. Energy-saving target to achieve a healthy building environment requires real-time detection of indoor health data and dynamic energy-saving control. Hardware platform used in indoor health data collection module in real-time detection of indoor environmental parameters; energy-saving terminal control module to achieve dynamic control of electrical equipment.Achieve a healthy energy saving policy monitoring software platform running on the host, the use of SQL SERVER database and C# programming language; it is divided into control decision module, human-computer interaction module, the database module. Control Decision module contains a self-optimizing program parameters on particle swarm algorithm. Interactive interface can display waveform changes the dynamic parameters of electricity and information, such as the curve of the voltage waveform change. Dynamic optimal control strategy relies on building a smart electricity system hardware platform and software platform to achieve the goal of building energy-saving health indoor environment.
Keywords/Search Tags:Smart power, Health and Energy-saving, WiFi, ZigBee, Internet of Things
PDF Full Text Request
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