Research On Multi-source Awareness Technology Of Physical State Based On Beidou Technology

With the development of IoT technology,the information industry which focuses on computer and communication equipment is gradually attracting the attention of researchers.At the same time,integrated with a variety of sensor modules,intelligent hardware equipment,such as smartphone,smart bracelet and smart watch,can be used in different application scenes.In the field of the secret,the management and control of classified goods transportation has been attached to broad attention and is an important part of work in party and government organs,enterprises and institutions and military enterprise.When these classified goods are placed in complex outdoor environment,in order to guarantee their safety and integrity,we not only need to acquire their geographical location information in real time,but also sense their motion state.According to the above application scene,this paper proposes a multi-source awareness technology of physical state based on Beidou satellite navigation technology.Combining with geographic location information and a variety of motion sensor data together,we can make up the shortcomings of insufficient perception degree due to a single data source.Based on the multi-source awareness technology of physical state,this paper designs the framework of classified goods transportation control system.On the one hand,this paper uses Beidou satellite navigation technology to acquire the location information.On the other hand,this paper is not limited to relys on only one single accelerometer.And by collecting the multiple motion sensor data this paper uses back propagation neural network to fuse multi-sensor data and identify motion state.In dealing with motion state recognition problem,and according to the movement process in the actual situation,this paper proposes a motion state delay hypothesis which assumes the motion state will remain for a period of time and not change.Finally,this paper proves the multi-source awareness technology of physical state effective and feasible by analyzing the data and result accuracy of the location experiment and motion state identification experiment.