李雨成, 李俊桥, 邓存宝, 等. 基于角联子网的风量反演风阻病态改良算法[J]. 煤炭学报, 2019, (4). DOI: 10.13225/j.cnki.jccs.2018.0741
引用本文: 李雨成, 李俊桥, 邓存宝, 等. 基于角联子网的风量反演风阻病态改良算法[J]. 煤炭学报, 2019, (4). DOI: 10.13225/j.cnki.jccs.2018.0741
LI Yucheng, LI Junqiao, DENG Cunbao, et al. Improved algorithm of air quantity calculating resistance based on diagonal subnetwork[J]. Journal of China Coal Society, 2019, (4). DOI: 10.13225/j.cnki.jccs.2018.0741
Citation: LI Yucheng, LI Junqiao, DENG Cunbao, et al. Improved algorithm of air quantity calculating resistance based on diagonal subnetwork[J]. Journal of China Coal Society, 2019, (4). DOI: 10.13225/j.cnki.jccs.2018.0741

基于角联子网的风量反演风阻病态改良算法

Improved algorithm of air quantity calculating resistance based on diagonal subnetwork

  • 摘要: 为解决矿井通风系统阻力测定过程中部分巷道受限于现场测试条件而导致的风阻测不准、甚至无法测定的问题,研究了基于节点压能的风量反演风阻算法,提出使用两组风量数据及部分节点压能数据反演风阻。针对算法的病态性质,对算法病态的原因进行了分析,得出反演风阻方程系数矩阵稀疏性和通风系统拓扑结构对算法的影响是导致算法病态的两个主要原因。基于此,提出基于角联子网的风量反演风阻病态改良算法与基于贪心策略的风压传感器优化布置算法,给出了算法步骤及程序框图,能够解决风量反演风阻算法的病态问题,实现布点合理、数量较少的风压传感器的优化布置。将上述算法应用于23条分支、16个节点的通风网络,验证了所有传感器布置方案下的风量反演风阻算法,其中65.2%的方案下的算法都是病态的。笔者应用本文提出的算法给出了角联子网划分方案及9个布点的风压传感器优化布置方案,在此基础上进行了风量反演风阻计算。结果表明:算法在实现了风压传感器优化布置的基础上,准确地反演了风阻,误差控制在10-4以内。算法在现场应用时结合矿井监测监控系统,可以进一步实现实时的通风系统基础参数(风量、风压、风阻)的采集、校验、计算、存储与反馈,是矿井智能通风的基础性研究。

     

    Abstract: The wind resistance of some roadways are not accurate or even impossible to be measured in the process of measuring the resistance of mine ventilation system,which is caused by underground condition. Therefore,the calcula- tion of resistance algorithm based on the airflow of node pressure is studied. It is proposed that using two sets of air vol- ume data and part of node pressure data to inverse the resistance. According to the ill-posed characteristics of the algo- rithm,it is concluded that the sparsity of resistance inversion equation coefficient matrix and ventilation system topolog- ical structure are the two major reasons for the ill-condition of the algorithm. Based on this,the improved algorithm of airflow calculating resistance based on diagonal subnetwork and optimal layout algorithm of wind pressure sensors with algorithm steps and program chart are proposed,which solve the ill-posed problem and achieve the optimal scheme with the least amount and rational layout of wind pressure sensors. The above algorithm is applied to a ventilation network with 23 branches and 16 nodes,the schemes with all combination of wind pressure sensors layout are checked,65. 2% of which are ill-posed. Based on the algorithm proposed in this paper,the division scheme of the angular network subnet and the optimal arrangement scheme of the wind pressure sensor of 9 nodes are presented. The results show that the algo- rithm accurately calculates the wind resistance based on the optimal arrangement of the wind pressure sensor,and the er- ror is controlled within 10-4 . Combined with the mine monitoring system,the algorithm can further realize the collection, verification,calculation,storage and feedback of the basic parameters (air volume,air pressure and wind resistance) of the ventilation system in real time,which is the basic research of mine intelligent ventilation.

     

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