随着煤矿智能化建设进入快速发展阶段，目前传统掘进面通风系统不能根据实际需求动态精细化智能通风，造成了风流分布不合理，导致粉尘聚集及尘肺病发病率居高不下等问题。针对以上问题，建立掘进面粉尘控集除系统，对系统智能控制方案获取方法进行研究，为系统提供理论依据。对系统工作原理及智能控制需求进行分析，利用数值模拟手段获取样本数据，建立智能控制方案获取的自适应免疫遗传算法，并研发方案获取软件系统。基于该软件系统以某矿掘进面为对象进行应用分析，获取最佳智能控制方案，搭建相应实验测试平台，对方案获取方法的准确性及降尘效果进行测试验证。具体研究内容如下：

（1）粉尘控集除系统设计及智能控制方案获取方法。根据掘进面通风系统国内外研究现状及井下实际调研，对粉尘控集除系统进行布局设计，对系统工作原理及智能控制需求进行分析。分析风流瓦斯与粉尘气固耦合数值模拟计算方法及参数化程序实现方法，确定粉尘控集除智能控制方案获取算法及软件系统开发工具。

（2）智能控制方案获取算法建立及程序开发。根据《煤矿安全规程》对风速和瓦斯浓度的要求及卡方分箱算法，开发样本数据筛选及离散化子程序，并设计分段式二进制编码方法。建立方案获取的自适应免疫遗传算法实现流程，对适应度函数、抗体促进与抑制方法及根据抗体适应度值对交叉和变异概率进行自适应调整方法进行设计，最后利用Matlab开发粉尘控集除智能控制方案获取的算法程序。

（3）智能控制方案获取软件系统研发。对系统各功能模块的需求及实现方法进行分析，建立系统整体框架、系统用例图及用户活动流程，对信息库系统中知识库、数据库和模型库三个子系统进行详细设计。采用Visual Studio开发平台、C#语言和SQL Server数据库，对系统数值模拟求解计算、样本数据获取与智能控制方案获取各模块、主界面及数据库进行集成设计开发。

（4）利用研发的软件系统对某矿掘进面进行应用分析。建立某矿掘进面粉尘控集除系统，对智能控制方案获取软件系统应用流程进行分析。利用数值模拟求解计算模块，建立风流瓦斯与粉尘气固耦合有限元计算模型，设计数值模拟方案，并进行模拟分析，之后利用样本数据获取模块，获取风速瓦斯及粉尘浓度关联关系的样本数据，并存储在数据库中，最后利用智能控制方案获取模块，对样本数据进行筛选、离散化及分段式编码，获取某矿掘进面粉尘控集除智能控制方案。

（5）粉尘控集除智能控制方案获取方法实验测试验证。基于相似模化理论搭建实验测试平台，并设计实验测试方案，对粉尘控集除智能控制方案获取方法的准确性及方案的降尘效果进行实验测试验证。

With the intelligent construction of coal mines entering a stage of rapid development, At present, the traditional excavation surface ventilation system cannot dynamically fine and intelligent ventilation according to the actual demand, resulting in an irrational distribution of air flow, it leads to dust accumulation and high incidence of pneumoconiosis. Given the above problems, the dust control collection and removal system of the heading face is established, and the acquisition method of the intelligent control scheme of the system is studied to provide a theoretical basis for the system. Analyze the working principle and intelligent control requirements of the system, using numerical simulation to obtain sample data, the adaptive immune genetic algorithm obtained by intelligent control scheme is established, and develop solutions to acquire software systems. Based on the software system, the application research is carried out on the heading face of a mine, get the best intelligent control solution, build the corresponding experimental test platform, the accuracy of the scheme acquisition method and the dust removal effect are tested and verified. The specific research contents are as follows:

(1) Dust control collection and removal system design and intelligent control scheme acquisition method. According to the research status of ventilation system at home and abroad and the actual underground investigation, layout design of dust control collection and removal system, the working principle and intelligent control requirements of the system are analyzed. The numerical simulation calculation method of gas-solid coupling of airflow gas and dust and the realization method of parametric program are analyzed, and the acquisition algorithm of intelligent control scheme of dust control and software system development tool are determined.

(2) Intelligent control scheme acquisition algorithm and program development, according to the requirements of wind speed and gas concentration in Coal mine Safety Regulations and the Chi-square classification algorithm, develop sample data preprocessing and discretization subroutines, a segmented binary coding method is designed. The implementation process of the adaptive immune genetic algorithm for scheme acquisition is established, the fitness function, antibody promotion and inhibition methods and adaptive adjustment of crossover and mutation probability according to antibody fitness values were designed, finally, an algorithm program for obtaining intelligent control scheme of dust control collection and removal set is developed by using Matlab.

(3) Intelligent control scheme acquisition software system development. The requirements and implementation methods of each functional module of the system are analyzed, establish the overall system framework, system use case diagram and user activity flow, the three subsystems of knowledge base, database and model base in the information base system are designed in detail. Using Visual Studio development platform, C# language and SQL Server database, the system numerical simulation calculation, sample data acquisition and intelligent control scheme modules, main interface and database integrated design and development.

(4) The software system is used to analyze the application of a mining face. The dust control collection and removal system of a mine's heading face was established, the application flow of the intelligent control scheme acquisition software system is analyzed. Using numerical simulation to solve the calculation module, the gas-solid coupling finite element model of air flow gas and dust was established, design numerical simulation scheme and carry out simulation analysis. after that, the sample data acquisition module is used to obtain the sample data of the correlation between wind speed, gas and dust concentration, and is stored in the database. Finally, the intelligent control scheme acquisition module is used to preprocess, discretization and segmental coding the sample data, and the intelligent control scheme of dust control collection and removal on a heading face is obtained.

(5) The acquisition method of the intelligent control scheme for dust control collection and removal is verified by experimental test. Build an experimental test platform based on the similar modeling theory, and design an experimental test scheme, the accuracy of the acquisition algorithm and the dust removal effect of the intelligent control scheme are tested and verified.

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