Management-control capability evaluation model of radio block center based on improved ANP
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摘要: 分析了影响无线闭塞中心(RBC)管控能力的多种因素, 研究了不同因素间的关系, 应用网络层次分析法(ANP)建立了RBC管控能力评价模型。为了降低评价中人为主观性影响与提高评价结果的可信性, 在ANP评价过程引入了专家均值置信法, 建立了ANP评价模型。以京沪高铁和郑西高铁下行区段第1个RBC(RBC-JH1、RBC-ZX1)的实际布置为例, 使用SD软件求解模型, 获得了RBC管控能力影响因素的定量排序。研究结果表明: 管辖范围、控制车站数、非周期数据处理、注册受控列车数量、单个RBC最大控车容量、周期数据处理、车站复杂度、无线信道传输延时的权重分别为0.167、0.095、0.092、0.090、0.086、0.072、0.064、0.058, 它们对RBC管控能力的影响较大, 在实际RBC布置中, 需要优先考虑这些因素; 得到了RBC-JH1的权重为0.037, RBC-ZX1的权重为0.039, 结合需要优先考虑的因素, 建议RBC-JH1的管辖范围可以扩展至中继站6。改进ANP评价模型对无线闭塞中心管控能力评价的适用性较好, 结合已有的RBC布置数量计算公式, 可确定一条线路RBC管控范围和布置数量。Abstract: Various factors affecting the management-control capability of radio block center(RBC)were analyzed.The relationship among the factors was researched.The evaluation model of management and control capability of RBC was built by analytic network process(ANP).In order to reduce the influence of subjectivity and improve the credibility of evaluation results, the experts mean assessment was introduced to ANP evaluation process.Taking the real layouts of the first RBCs(RBC-JH1, RBC-ZX1)in the down direction of Jinghu and Zhengxi High-Speed Railways as example, the ANP evaluation model was built, and SD software was used to solve the model.The quantitative ordering of various influence factors was obtained.Analysis result indicates that the covered line area, control station number, non-cycle data dealing, the number of registered control trains, the maximum control train number of a single RBC, cycle data dealing, station complexity and the transmission delay time of wireless channel are key influence factors, their weights are 0.167, 0.095, 0.092, 0.090, 0.086, 0.072, 0.064 and 0.058, respectively.In the real RBC layout, the key influence factors should be given the priority because they have larger influence on the control capability of RBC.The weight of RBC-JH1is0.037, and the weight of RBC-ZX1 is 0.039.Considering the priority influence factors, the jurisdiction of BC-JH1 can be extended to the sixth relay station.The applicability of improved ANP evaluation model is proved in evaluating the RBC management and control capability.Combination with the calculation formula of RBC layout number, the management-control range and layout number of RBC in a railway line can be determined.
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图 3 RBC管控能力ANP评价模型
Figure 3. ANP evaluation model of RBC management-control capability
表 1 两因素权重比较
Table 1. Comparison of weights between two factors
表 2 RBCs布置
Table 2. Layout of RBCs
表 3 RBC维护适应性
Table 3. Maintenance adaptabilities of RBCs
表 4 影响因素的关系
Table 4. Relationship of influence factors
表 5 未加权超矩阵
Table 5. Unweighted super matrix
表 6 簇组权重
Table 6. Weights of clusters
表 7 加权超矩阵
Table 7. Weighted super matrix
表 8 极限加权超矩阵
Table 8. Limit weighted super matrix
表 9 京沪高铁基础线路数据
Table 9. Basic line data of Jinghu High-Speed Railway
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