Design And Research On Data Acquisition System Of SEEE Model And Sensor Placement Optimization

Every year, new construction area of building approximate 1.9 billion square meters in china, compared with developed countries, the area are already more than the sum of completion of the area in all developed countries. Among the area, energy-saving buildings are less than 1 million square meters, in other words, energy-saving potential of the buildings is huge. Meanwhile, in the nearly 400 million square meters of existing buildings, in terms of structure or building envelope with a heating and air conditioning system to measure, only 1% can be regarded as energy-efficient buildings, the rest are high energy consumers. According to the statistics, in China's total energy consumption each year, the total building energy consumption of total energy consumption accounting for one-third of it. Building energy saving design and renovation of existing buildings is imperative with the lacking of energy in the world. Therefore, analyzing building energy consumption and achieving energy-efficient economy has great significance.The model SEEE (Synthetical-Energy-Economy-Estimator) is base on wireless sensor network space-time. The aim of the model is to make the building to adapt the surrounding environmental change and autonomously get health and comfort of energy-saving state by analyzing building energy consumption, human comfort and environmental health of the circumstances. The core of it is the spatial data acquisition, transmission and computing. Giving the above consideration, this paper is how to obtain the distribution of the overall information space accurately.First,we analyze the present situation of data acquisition system based on prior information, research wired and wireless sensor network technology and combine the requirements of the model for data. We build a low-cost and low-power consumption wireless data acquisition system. We use the system to achieve temperature data acquisition, humidity data acquisition, pressure data acquisition, CO data acquisition, CO2 data acquisition, VOCs data acquisition and other environmental parameters data collection and transmit these data to the sink node wirelessly. The wireless data acquisition system uses relatively strong expansion of UCB TelosB hardware platform. The software operating system of the platform has good portable which can make the platform performance fully, and reduce system power consumption effectively.Secondly, according to the uncertain of the distribution of environmental information in building space, we consider SEEE model's precision low-precision surface measurement and layout of the measurement principle of WSN. This paper use computational fluid dynamics (CFD) simulation technology to simulate the temperature and humidity distribution of the building unit and grasp the distribution of various types of information in the building unit. Experimental results show that the simulation results, in the range of allowable error, are consistent with the measured value. It is to say that Building environment numerical simulation is accurate and feasible, which can be used to select key information points and arrange nodes to acquire various types of data.At last, we select temperature and humidity gradients greater curvature of isotherm points and point-intensive position as the key points. Meanwhile, we get the position of these points to deploy the sensor node. We optimize the sensor placement using the least sensor placement algorithm to achieve sensor placement optimization, which make us get various types of data availably. In the end, we use software to simulate the least sensor placement algorithm and its expansion strategy. The results show that the optimal strategy can plan the sensor nodes in different areas reasonably and make a full use of the efficiency of each sensor node.