Research On Multi-Sensor Mobile Position Methods Based On GPS/DR

In our country, the energy problem has already become the main bottleneck of the economic development, and building energy consumption accounts for33%of the society energy consumption, therefore building energy conservation is imperative, in order to realize the energy conservation of the building, the energy consumption state must be monitored, first, the building energy consumption monitoring is the key of new building energy conservation, secondly, it is also the key of building energy saving reconstruction. Monitoring the status of building consumption accurately is a WSN coverage problem. At present the problems of coverage are mainly divided into blanket coverage, barrier coverage and sweep coverage. Considering cost and practicality, we use WSN sweep coverage and complete monitoring the status of building consumption.In order to realize the mobile wireless sensor network sweep coverage, on the basis of completing wireless sensor network sweep coverage mobile strategy and path planning, how to realize that mobile body go to designated location and complete information acquisition task in the effective time, mobile navigation location function will be particularly important. The realization of the function of navigation location, real-time display the position of mobile body, provides the basis of the next move for mobile body, make sure the body can move in a timely, accurate to designated location. Therefore, the study of mobile navigation location of body technology is significant to realize the building energy efficiency monitoring.In the realization of moving body location process, first use the sensor related with position which installed in mobile body, real-time access the position information related with mobile body positioning, transmit to the upper machine through a serial port. And then process positioning data by the upper machine. Preprocess the phenomenon of original data drift, abnormal, lack of data, and eliminate the data noise. And then use kind of locating model of mobile body to complete location based on the work situation of GPS.(1)When GPS works normally, using GPS data and DR data which completing preprocess, based on the established data locating model complete multi sensor data fusion, realize mobile body location. The present moment of DR position and time as the input of a network of training samples, the errors between DR position and actual position of mobile body as the output of a network of training samples, the purpose of network training is for DR forecast when GPS fail.(2)When GPS fail, predict the present moment DR position errors according to the predict model of DR position error which obtained by training, combine the DR position error data and DR position data can estimate the present moment position of mobile body, and thus realize the accurate navigation location by using DR data when GPS in the failure conditions.This paper realized the real-time accurate location of the mobile body, analyzed the location data processing method and discussed the phenomena of GPS drift, and put forward a kind of multi-sensor location method based on RBF neural network. Meeting the real-time of mobile body location, according to the work situation of GPS, using different mobile body location models, can improve location precision. The experiment results show that the use of the location model that this paper designed can finish mobile body navigation and location function well, ensure the realization of the wireless sensor sweep coverage.