In order to improve the risks management and control ability of coal chemical enterprises, this paper studies the dynamic risks management and control model of coal chemical enterprises and develops the supporting application software. A dynamic risk classification control algorithm for coal chemical enterprises is constructed by combining the optimized neural network with a control chart. By analyzing the control chart, the optimized neural network is used to predict and early warn the risk development trend of enterprises, and optimize coal chemical enterprises' process flow. Based on dynamic risks hierarchical management and control, the matching application tool, “dynamic risks hierarchical management and control system” is developed. The software was applied in Hongxing company in September 2017, which was developed by C/S mode, and the server developed “Webservice” to connect SQL Server and phone. The system's real time operation through the mobile phone is fast and straightforward, which realizes the dynamic risk classification management and control of coal chemical enterprises, and achieves good results.

为了提高煤化工企业的风险管理和控制能力，研究了煤化工企业的动态风险管理和控制模型，并开发了配套的应用软件。通过将优化的神经网络与控制图相结合，构建了煤化工企业动态风险分类控制算法。通过对控制图的分析，使用优化的神经网络来预测和预警企业的风险发展趋势，并优化煤化工企业的工艺流程。在动态风险分级管控基础上，开发了配套的应用工具“动态风险分级管控系统”。该软件于2017年9月在红星公司应用，由C / S模式开发，服务器开发了“ Web服务”来连接SQL Server和电话。该系统通过手机实时操作快捷，直观，实现了煤化工企业动态风险分类管理和控制，取得了良好的效果。