浅谈洁净能源汽车工程中心的安全管理和智能报警控制系统

介绍了洁净能源汽车实验室的安全管理和智能报警控制系统的选择、设计及实施情况。并对系统中各类气体探测器的设计概念和使用场所以及有别于一般气体探测场所的探测器设置进行了详细阐述,并指出了智能报警控制系统在工程应用中的重要性。

基于模糊神经网络的智能火灾报警控制系统

介绍了基于模糊神经网络智能火灾报警控制系统,在系统中应用了模糊控制理论既提高了系统的精度又最大限度的减少了系统的误报率,解决了火灾报警系统中长期存在的问题。结合具有自学习功能的神经网络算法,提高了系统的智能化程度,是现代智能控制理论在消防自动化系统中的应用。

由北京鑫茂大厦火灾自动报警控制系统看当今智能火灾报警及控制技术的发展趋势

以北京鑫茂大厦消防自动报警及联动控制系统的设计实施为例,笔者归纳总结了当今智能火灾报警和控制系统的技术特点和发展趋势。

Prioritizing Alarms in Real-Time： Intelligent Alarms Advanced System

During the operation of complex process, such as oil production or refming, abnormal situations may occur, leading to an alarm flooding. Alarm flooding is the signalling of a large number of alarms in a few minutes, in such a way that it is impossible for the operator to attend to all alarms. On these occasions, it is usual that the operator leaves the alarm summary list and gets an analysis of the plant through the screens of the DCS （digital control system）, seeking to understand the situation. The alarm summary list ceases to be a useful tool. In such cases, the operator might have the aid of a filter that would present the highest priority alarms and other information associated with them, enabling him to gain a better knowledge of the situation. This paper describes the interface of a system aimed to help the operator to have a more comprehensive knowledge of the process （a better situational awareness） during process upsets that cause alarm flooding, recovering the utility of the alarm layer to the safety of industrial processes.