Intelligent fuzzy monitoring of concrete slurry concentration under multiple influence factors
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TP273

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    Abstract:

    An intelligent fuzzy monitoring algorithm for concrete slurry concentration considering multiple influencing factors is proposed. Firstly, the influence factors, including production plan, traffic restriction, precipitation and temperature, which will affect the monitoring cycle of the muddy commercial concrete concentration, are analyzed and described with mathematical functions. Secondly, the fuzzy domain set of four factors is established by combining the fuzzy theory with the expert scoring weight. Accordingly, the trapezoid (semi-trapezoid) membership functions of the influence factors are designed respectively. Finally, a fuzzy decision calculation formula for the slurry concentration monitoring cycle is given based on fuzzy theory. The test results of a stirring station plant experimental platform show that the proposed algorithm can adaptively decide the monitoring period. Result analysis indicates that the proposed method can meet the monitoring requirements and effectively reduce the working time of concentration sensor by 16. 7% when compared with other automatic monitoring method, revealing the practical application value of the proposed algorithm.

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  • Received:
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  • Online: June 15,2023
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