Research And Application Of Dynamic Monitoring Data Processing System Based On WSN

In the field of aeronautics and astronautics, large deformation flexible bodies refer to equipment for air drop and airborne landing such as parachutes. As aerodynamic deceleration devices, they are popular for both civil use and national defense. At present, researchers both at home and abroad mainly study the stress on large deformation of flexible bodies with theoretical modeling and simulation. Due to the lack of effective measuring techniques, the stress distribution in practical work fails to be reflected. With the technology of monitoring the dynamic stress on large deformation flexible bodies, the stress information on the working equipment can be obtained, which will provide reliable data for the design and improvement of new equipment.This paper studies key technologies involved in the monitoring of data processing in the wireless sensor network(WSN), designs and implements a dynamic monitoring data processing system based on the WSN, and uses the system to monitor the stress processing when the air-drop and airborne equipment are operating. The research is conducted from the following aspects: 1) It analyzes the requirements for the dynamic monitoring data processing system in the WSN and provides an overall design for the system and module functions. Since the transmitted data is complex and changeable, the paper designs a rule base and a database based on the data characteristics to effectively solve the problems of data analysis and correlation in the data processing system. 2) Since deviation exists for data obtained when air-drop and airborne equipment are operating in a complex and changeable environment, the paper proposes a WSN data compensation neural network model based on the double-improved artificial bee colony algorithm and designs related algorithms to handle the deviation. Through experiments, the research verifies that the model can compensate for the deviation with high precision and greatly improve the measuring accuracy of the sensor. 3) Since the data may become abnormal or get missing when the WSN collects and transmits data at a high frequency, the paper considers the continuity of a single sensor and the correlation among multiple sensors in the space and designs a WSN data completion model based on the space time. Through experiments, the paper verifies that compared with other models, this model can estimate the missing data more accurately. 4) With C++ programming language on the VS2010 platform, the research basically implements a dynamic monitoring data processing system based on the WSN. The system can improve the analysis efficiency and accuracy of the dynamically monitored data.Experiments show that the dynamic monitoring data processing system based on the WSN can analyze, complete, compensate for, and query a large amount of data collected by the WSN. Considering the specificity of the dynamic monitoring of large deformation flexible bodies, this system supports the functions of WSN model deployment and automatic generation of the topological structure. Experiments have proved that the model and algorithm used in the system are effective.