Abstract
In order to realize more intelligent storage monitoring system, the information fusion model of wireless sensor network for storage environment monitoring is studied on the basis of analyzing information fusion technology. By analyzing the structure of storage monitoring system based on wireless sensor network, a two-layer information fusion method is established. The information fusion of homogeneous sensor based on adaptive weighting and the fusion method of heterogeneous sensor based on radial basis function neural network are designed and verified. The experimental results show that the design method can fuse the storage environment information and realize the accurate identification of the environmental state. Therefore, the algorithm can effectively improve the speed of network training, and the classification effect is good. To a certain extent, it can help enterprises to establish a safe and efficient storage system, to enhance the efficiency of enterprise warehousing operations.
Highlights
In order to ensure safe and efficient logistics operation, and further improve the overall efficiency and safety of the logistics system, "intelligent logistics" has become an inevitable trend of the development of the logistics industry
Wireless sensor network adopts a new mode of information acquisition and processing, which can realize the integration of information acquisition, transmission and processing
The results show that the model can be applied to the classification of environmental conditions, and the accuracy of the prediction results is high, which can well reflect the actual state of the storage environment
Summary
In order to ensure safe and efficient logistics operation, and further improve the overall efficiency and safety of the logistics system, "intelligent logistics" has become an inevitable trend of the development of the logistics industry. The warehouse monitoring system based on wireless sensor network can effectively solve the problems such as numerous equipment, complex wiring, poor scalability, high management and maintenance cost. In order to realize the intelligence of the warehouse monitoring system, it is necessary to process the information of the whole process of the system operation. It is mainly reflected in the recognition and utilization of perception information, and the information processing of whole process “as stated in [2]”. State of art Information fusion in wireless sensor networks refers to the multi-way, omnidirectional and multi-level process for sensed data in the network, aiming to eliminate redundant data and minimize the communication traffic of note. The accurate environmental monitoring information can be obtained after fusing the data such as multi node temperature, humidity, CO concentration
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