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火灾探测系统 meaning in English

fire detecting system
fire detection system

Examples

  1. On the actual ward spot , because with the variety of the season and the day and night , the environment factors is variational and with the difference of the ward spot , the environment factors is also different , based on the frame of decision level fusion this paper apply neural network and fuzzy inference technology to achieving multi - sensors fire detection system , which can endue different sensors with different weight for adapting the variation of environment according to the actual things . we test this method applied to the multi - sensors fire detection system by simulating and attain the anticipative result
    针对实际监护现场,环境因素会随着季节以及昼夜变化而变化,而且在不同的监控现场,环境因素也不相同的问题本文在决策层融合的框架下,利用神经网络和模糊推理技术相结合来实现多传感器火灾探测,根据实际情况,赋予不同的传感器不同的权重系数以适应环境变化,通过仿真验证了此种方法应用于多传感器火灾探测系统可达到预期效果。
  2. Based on analyzing deeply the basal principle and the system structure of the multi - sensors information fusion technology , and according to the model of feature level fusion , the achieving method of fire detection system based on simulated annealing feature level fusion is presented . this method that searches first - rank ‘ feature fusion coefficient ’ through simulated annealing arithmetic can improve the validity property and demote the mis - warning rate
    在深入讨论了多传感器信息融合技术的基本原理及体系结构的基础上根据特征层融合的模型提出了基于模拟退火的特征层融合火灾探测系统实现方法,使用模拟退火算法搜索最佳的“特征融合系数” ,从而提高火灾探测的正确性,降低误报率。
  3. In this paper , after analyzing the three layer structure of data fusion system , then a kind of fire detection ' s three - layer structure based on data fusion is proposed . also according to fire ' s non - structure character , proposes to use artificial intelligence method in fire detecting three layer structure , mainly including expert system , neural network and fuzzy control technology . the aim is to design a kind of quickly , exactly and effectively fire detecting system
    本文在分析了数据融合系统的三级结构及火灾非结构特性的基础上,提出了一种基于信息融合的火灾探测三级结构和实现三级结构的人工智能算法,这些人工智能算法主要针对于火灾的非结构特性,包括专家系统、人工神经网络、模糊控制等人工智能技术,目的在于设计出一种快速、准确和有效的火灾探测系统
  4. The principle of fire occurring , three developing stages and characters of every stage have been discussed systematically in this dissertation . the difference is also studied between conventional fire detection systems and new - style fire detection techniques . the classification of image fire detection , detection devices , the composition of the fire detection system and basic principle of digital image processing have been introduced in detail as well
    论文系统地讨论了火灾产生的机理和其三个发展阶段及其各个阶段的特点,讨论了传统的火灾探测技术存在的缺陷并与新型火灾探测技术进行了对比,在此基础上介绍了图像型火灾探测技术的分类、使用的探测设备、图像型火灾探测系统的组成以及数字图像处理技术。
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Related Words

  1. 扑救火灾
  2. 化学火灾
  3. 森林火灾
  4. 铀火灾
  5. 火灾统计
  6. 火灾动力学
  7. 火灾烈度
  8. 火灾演习
  9. 草地火灾
  10. 森林火灾分布
  11. 火灾探测器,火灾指示器
  12. 火灾探测区
  13. 火灾探测元件
  14. 火灾探测装置
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