基于AHP-CRITIC的多维度井下物料运输机器人性能评估

Performance evaluation of multi-dimensional downhole material transport robot based on AHP-CRITIC

  • 摘要: 井下物料运输机器人作为智慧矿山建设的关键装备,其性能评估体系的科学性与合理性,直接影响着井下物料运输机器人的选型与应用成效。针对井下物料运输机器人性能指标不完善、评估方法单一等问题,本文首先构建了井下物料运输机器人的多维度性能指标体系,利用AHP法和CRITIC法确定各指标的主观权重与客观权重,并采用线性加权合成法融合主客观权重,基于融合权重对指标进行重要性排序与分析,建立井下物料运输机器人性能综合评估模型,实现井下物料运输机器人性能的准确评估。该评估方法能精准反映井下物料运输机器人各性能指标的相对重要程度,为智慧矿山场景下井下物料运输机器人的科学选型、优化配置及规模化应用提供可靠的理论依据与技术支撑。

     

    Abstract: The underground material transportation robot, as a key equipment in the construction of smart mines, the scientificity and rationality of its performance evaluation system directly affect the selection and application effectiveness of the underground material transportation robot. In response to the problems of incomplete performance indicators and single evaluation methods of the underground material transportation robot, this paper first constructs a multi-dimensional performance indicator system for the underground material transportation robot. It uses the AHP method and CRITIC method to determine the subjective and objective weights of each indicator, and adopts the linear weighted synthesis method to integrate the subjective and objective weights. Based on the integrated weights, it ranks and analyzes the importance of the indicators and establishes a comprehensive performance? evaluation model for the underground material transportation robot to achieve accurate evaluation of the performance of the underground material transportation robot. This evaluation method can accurately reflect the relative importance of each performance indicator of the underground material transportation robot, providing reliable theoretical basis and technical support for the scientific selection, optimized configuration, and large-scale application of the underground material transportation robot in the smart mine scenario.

     

/

返回文章
返回