Study on Collaborative Optimization Control of Ventilation and Radon Reduction System Based on Multi-Agent Technology
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摘要: 根据氡及氡子体等放射性安全特性,结合通风系统理论,应用多智能体技术构建通风降氡多智能体。分析多智能体系统各关键节点智能体功能属性及其关联关系,构建通风降氡系统多智能体分布式自治逻辑结构及协商机制,实现了多智能体系统协调优化控制。实例分析表明,多智能体通风降氡系统体系结构及其协商机制能较好的改善与优化放射性污染物控制,具有较好的应用前景。Abstract: According to the radioactive safety features such as radon and its progeny, combined with the theory of ventilation system, structure of multi-agent system for ventilation and radon reduction system is constructed with the application of multi agent technology. The function attribute of the key agent and the connection between the nodes in the multi-agent system are analyzed to establish the distributed autonomous logic structure and negotiation mechanism of multi agent system of ventilation and radon reduction system, and thus to implement the coordination optimization control of the multi-agent system. The example analysis shows that the system structure of the multi-agent system of ventilation and reducing radon system and its collaborative mechanism can improve and optimize the radioactive pollutants control, which provides a theoretical basis and important application prospect.
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