Research On Acquiring Integrated Heat Transfer Coefficient Of Building Envelope Based On Wireless Sensor Networks

With the development of China's economy, people have increasing demand for building. In order to synchronize with the population growth, all kinds of equipments have been widely used in construction, which is accompanied with more energy consumption. As is known to all, nowadays energy is the developmental problem that governments are facing in common, on the way of urbanization development, Building energy consumption problem attracts much more national attention. Solving the series problems that how to reduce building energy consumption, how to evaluate it and so on has become important task in the building energy saving of our country.Building palisade structure is physical boundaries between indoor and outdoor, it is aggregation of multiple functions, even if the original building shade make great efforts to satisfy a shelter from the storm, thermal insulation, sunshade ventilation and so on, at the same time building palisade structure is the main way that heat is exchanged between indoor and outdoor. The value of integrated heat transfer coefficient of palisade structure(such as outside wall ,outside window, roof and so on) which reflects the average value of each part's heat transfer coefficient represents how great building as a whole plays the part in heat transfer in the process heat getting through the building palisade structure. Therefore, researching on getting integrated heat transfer coefficient makes great significance to the assessment of building energy consumption.The paper implements the indoor temperature acquisition system, analyzes the indoor temperature de-nosing method, discusses the way of indoor steady-state temperature acquisition and brings forward the method of getting building envelope heat transfer coefficient .Among them, indoor temperature acquisition is based on the wireless sensor network in Key Laboratory of Intelligent Building of Anhui university of architecture, MATLAB is used as the programming language of acquisition system terminal, indoor temperature de-nosing method makes use of the advantage of wavelet transform in de-nosing, the wavelet function and resolution in wavelet threshold de-nosing are decided by the analysis of indoor temperature and noise characteristic and the simulation, the result demonstrates that as to the noise existing in indoor temperature, wavelet threshold de-nosing is feasible. On the basis of indoor temperature de-nosing ,in order to effectively forecast the indoor temperature of the latest future temperature, identification structure is constructed by forward neural network ,PSO algorithm is used as parameter identification structure algorithm of identification structure, which realizes the identification of indoor temperature and provides a basis for the method of indoor steady-state temperature acquisition , the experimental result indicates that the identification of indoor temperature is of high precision and stability by using the identification algorithm ,the indoor steady-state temperature is consistent with the collected temperature. The paper analyzes the relation of integrated heat transfer coefficient of envelope and interior steady temperature and proposes the method of acquisition of integrated heat transfer coefficient for the acquisition of integrated heat transfer coefficient. The experimental result demonstrates the method is effective.