Flying dust-slag car linkage supervision system and method based on multi-source data fusion

Abstract

The invention relates to the technical field of intelligent traffic internet of things, and particularly discloses a flying dust-slag car linkage supervision system and method based on multi-source data fusion, and the method comprises the following steps: obtaining all feasible routes between a departure place and a destination of a slag car, and for a single feasible route, carrying out the linkage supervision of the slag car; dividing the distance into a plurality of distance sections according to a preset distance interval; collecting the dust raising amount in the distance section, and marking the distance section as an abnormal section if the dust raising amount is greater than a preset threshold value; on the contrary, marking the journey segment as a normal segment; calculating a first score and a second score based on the primary influence score and the secondary influence score of the abnormal section; summing the first scores and the second scores of all the abnormal sections on the single feasible route to obtain evaluation scores of the feasible routes, and taking the feasible route corresponding to the minimum evaluation score as the driving route of the slag car. According to the invention, the influence of raised dust on the surrounding area in the driving process of the muck truck can be reduced to the greatest extent.

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