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Application of multi-sensor fuzzy information fusion algorithm in industrial safety monitoring system

机译：多传感器模糊信息融合算法在工业安全监测系统中的应用

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摘要

Chemical enterprises are characterized by many casualties and frequent serious accidents. In order to reduce the likelihood of such accidents and ensure safe production effectively, a new safety assessment method based on multi-sensor technology and fuzzy information fusion algorithm is proposed based on theory of fuzzy systems. The important parameters such as dust concentration, temperature and smoke concentration are monitored by various sensors in chemical enterprises, and information obtained by multiple sensors are fuzzified and optimized through the compositional operation and decision rules of a data fusion center, so as to fully utilize the information obtained from each monitoring point and obtain accurate estimations of the environmental safety state. In this paper, an example is presented to illustrate that the multi-sensor fuzzy information fusion algorithm increases the confidence level of industrial safety monitoring and improves the performance of the safety monitoring system.
机译：化学企业的特点是许多伤亡和经常严重的事故。为了减少这种事故的可能性，有效地确保安全生产，基于模糊系统理论，提出了一种基于多传感器技术和模糊信息融合算法的新安全评估方法。通过化学企业中的各种传感器监测灰尘浓度，温度和烟雾浓度等重要参数，通过数据融合中心的组成操作和决策规则，通过多种传感器获得的信息进行模糊化，并充分利用从每个监测点获得的信息并获得环境安全状态的准确估计。本文提出了一个示例以说明多传感器模糊信息融合算法增加了工业安全监控的置信水平，提高了安全监测系统的性能。

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