Zigbee-based Dense Busway Temperature Rise And Vibration Wireless Monitoring Research And Implementation

Busway has gradually replaced cables for indoor substations,high-rise buildings and factory buildings,and the number of installations is growing.The temperature rise of the busway directly relates to the current carrying capacity and safety hazard of the conductor,and the vibration causes the looseness of the connecting firmware to cause a fire hazard due to the arcing phenomenon.In the absence of long-term in-depth monitoring and maintenance,it is impossible to assess the status of the busway,which is likely to cause uncontrollable sudden disasters.The abnormal state of the busway is often accompanied by the rapid rise of temperature rise,the temperature rise exceeds the safety index and the severe vibration.By monitoring the temperature rise and vibration of the busway,the state of the busway can be known in time for the maintenance of the busway.Provide disaster prevention.In order to monitor the temperature rise signal and vibration signal of dense busbars on a large scale,a Zigbee-based wireless sensor node is designed.But it brings three problems: First,large-scale busbar wireless monitoring generates a large amount of sensor data,and Zigbee's transmission rate is about 250 Kbps,which limits the number of sensor nodes in the Zigbee wireless network and limits monitoring.Scope;Second,when multiple sensing nodes send sensing data to the router at the same time,it will cause data confusion and loss,resulting in incorrect evaluation of the bus slot state;third,Zigbee routing algorithm blindly selects the path with the lowest communication delay.And the process of establishing a route is accompanied by a large number of message broadcasts,which respectively cause the network node to load unevenly and waste energy,thereby shortening the network life.The following work has been done to address the above issues:(1)In order to minimize the redundancy of sensor data under the limitation of Zigbee low transmission rate,a dynamic sampling strategy based on time correlation is designed,which utilizes the time correlation of bus riser temperature rise signal and vibration signal.The sampling frequency is adjusted to capture the abnormal signal and the data is selectively uploaded.The influence of various parameters of the sampling strategy on the sampling result is analyzed by simulation,which proves that the strategy can effectively reduce redundant data and reduce the amount of data.(2)In order to resolve the data confusion and loss caused by multiple nodes sending data to the router at the same time,the state variable is introduced to describe the bus slot state,and a weighted poll based on the state variable is designed to make the routers in a certain order.Receiving sensor data,it is proved by simulation that weighted polling can alleviate data fluctuations and reduce the impact on the network.(3)In order to limit the load unevenness and energy waste caused by the blindness of routing path selection in Zigbee's AODVir routing algorithm,the Zigbee routing algorithm is optimized according to the data distribution characteristics in the wireless sensor network,and the data routing and neighbor table are introduced to guide Forwarding direction of RREQ packets.The simulation proves that the optimized routing algorithm can reduce the average hop count and RREQ forwarding times and balance the load of the routing node.(4)The Zigbee-based wireless sensor network structure is designed by combining the above three methods.The transmission process of sensor data in the network is simulated by using Java.The simulated sensor data randomly generated by Matlab is obtained under the specific parameter settings.The average upload rate of the node is 108 bps,the average offset is 2 unit length and the load balance ratio is 0.14.The feasibility of the scheme is proved theoretically.Finally,the sensor nodes were fabricated and debugged,and the temperature rise signal of dense busway was collected.The effectiveness of dynamic sampling strategy and weighted polling was proved by experiments.The synthesis of dense busway Zigbee sensor network was also designed.Experiments provide a reference for further research.