Research on the distribution characteristic for noise in observation temperature sequence sampled by wireless sensor network in Intelligent Building

Temperature in workspace of intelligent building can be sampled frequently and instantly with wireless sensor network. With some inherent electrical characteristics of sensors and sensor node as well as the complexity thermal feature of environment in intelligent building, there are noise in temperature data sampled by wireless sensor network. To acquire temperature in workspace of intelligent building accuracy, Method for the reconstruction of noise in observation temperature data sequence is given and the workflow for the analysis of distribution characteristic of noise in observation temperature data sequence is presented Experiment results show that methods presented in this paper can provide identification basis for filters section for noise reduction with observation temperature data sequence sampled with wireless network in workspace of intelligent building.