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A Fuzzy Logic-Based Approach for Multi-Places and Multi-Sensors Data Fusion

According to the features and needs of collecting the data of temperature and humidity of current industrial environment, and the multi-places and multi-sensors data fusion as well, this paper proposes a fuzzy logic-based approach for the multi-places and multi-sensors data fusion. Firstly, this paper introduces the hardware construction of monitor system of temperature and humidity. Then, based on fuzzy set theory, the paper describes the model of fuzzy synthetic evaluation, and then proposes a novel algorithm for choosing the weights assignment proposals. Finally, a multi-places and multi-sensors data fusion approach, which is based on fuzzy synthetic evaluation, is presented. An example is also used for demonstrating the proposed approach. The results of system implementation identify that the approach can remove the influence of incorrect data on evaluating the temperature and humidity of current environment, and the data fusion result is objective and correct as well.