基于MAS的环境噪声监测系统研究

Research on Environment Noise Monitoring System based on MAS

我国关于环境噪声监测的工作距今已开展多年,但收效不佳,因目前该项工作的主要内容依旧是以人工监测为主,科技技术为辅的形式展开。缺乏创新,用来监测的技术更新速度也相对缓慢。在此趋势下,想到将分布式人工智能技术结合到环境噪声监测系统中来。利用MAS对复杂系统问题强大的求解能力,建立出基于MAS的环境噪声监测系统,构造BDI模型,拓展混合的Agent结构,将传统的不具备自治能力的噪声监测系统转变为低耦合高内聚同时拥有具有自我管制学习能力的MAS监测系统,使监测系统具备良好的可靠性、可扩展性和稳定性,完善了噪声监测决策库,提高了监测管理水平。

Work on environmental noise monitoring in our country have carried out many years ago, but the result is not good, because at present the main content of the work is still given priority to manual monitoring, science and technology is complementary form. Lack of innovation, which is used to monitor technology update speed is relatively slow. Under this trend, the thought of combination of distributed artificial intelligence technology to the environmental noise monitoring system. For complex system based on MAS strong problem solving ability, establish the environmental noise monitoring system based on MAS, BDI model structure, expanding Agent structure of hybrid, the traditional noise monitoring system does not have autonomy ability into low coupling and high cohesion with MAS monitoring system with self regulation of learning ability, make the monitoring system has good reliability, expansibility and stability, improve the noise monitoring decision library, improve the level of the monitoring and control.