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《Journal of Shandong Agricultural University(Natural Science Edition)》 2018-06
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Multi-Sensor Data Fusion Algorithm Based on Aquatic Product Live Transportation

CAO Shou-qi;LIU Ying;College of Engineering/Shanghai Ocean University;  
In order to solve the problem of large error of multi-sensor monitoring data in live transportation of aquatic products and improve the accuracy of data fusion, a multi-sensor data fusion algorithm is proposed. Firstly, the data with larger differences collected by the temperature sensor at a certain time is eliminated, on the basis of batch estimation, the correction factor is added to construct the modified sample variance, the weight of each batch temperature fusion value can be adjusted adaptively and the accurate temperature fusion value in the carriage can be obtained. Take the snakehead transport as an example, the results show: compared with the batch estimation algorithm, the proposed algorithm can obtain the more accurate environmental temperature of aquatic products, so as to control the living temperature better, and the fusion accuracy is higher and the stability is better.
【Fund】: 上海市2015年度“科技创新行动计划”专题(15DZ1202202)
【CateGory Index】: S981;TP212
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