火災探測系統 的英文怎麼說

中文拼音 [huǒzāitàncèxìtǒng]
火災探測系統 英文
fire detecting system
  • 火 : fire
  • 災 : 名詞1. （災害） disaster; calamity 2. （個人的不幸） personal misfortune; adversity; unluckiness
  • 探 : Ⅰ動詞1 （試圖發現） try to find out; explore; sound 2 （看望） call on; visit; see 3 （向前伸出）...
  • 測 : 動詞1. （測量） survey; fathom; measure 2. （測度; 推測） conjecture; infer
  • 系 : 系動詞（打結; 扣） tie; fasten; do up; button up
  • 統 : Ⅰ名詞1 （事物間連續的關系） interconnected system 2 （衣服等的筒狀部分） any tube shaped part of ...
  • 火災 : fire （as a disaster）; conflagration火災保險 fire insurance; 火災保險公司 [英國] fire company; ...
  • 探測 : survey; search; sound; probe; sounding; detection; acquisition; reconnaissance; localization; fin...
  • 系統 : 1. （按一定關系組成的同類事物） system 2. （有條理的;有系統的） systematic
  1. Fire detection and fire alarm systems - introduction

    火災探測和火災警報系統.介紹
  2. How to ensure the intime and exact fire detection 、 alam and fire - put is the goal of the design of the intelligent fire detection in train. study on fire detection intelligently and alarm is mainly conducted in this paper

    保證機車有火情時能及時準確的探測發現、報警和聯動滅火是機車智能化火災探測系統設計的主要目標。本文著重在先期火災探測和報警方面進行研究。
  3. Fire detection and fire alarm systems - fire alarm devices - sounders

    火災探測和火災警報系統.火災警報系統.發聲器
  4. Analogue addressable fire detection

    模擬尋址火災探測系統
  5. Yonggang chen, sandeep sathyamoorthy, a new fire detection system using ft - ir spectroscopy and artificical neural networks, annual conference on fire research book of abstracts nov 2 - 5, 1998

    孫玉梅編譯.利用燃燒音頻的火災探測系統.消防技術與產品信息， 1998 （ 4 ）
  6. Automatic fire detection and alarm system

    自動火災探測和報警系統
  7. Fire detection and alarm systems - part 11 : manual call points

    火災探測和報警系統.第11部分:人工呼叫點
  8. The perfect and reliable intelligent fire detection and alarm system is the prediction to guarantee of the safty of the train

    完善可靠的智能化火災探測和報警系統是保障機車安全運行的前提之一。
  9. 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

    在深入討論了多傳感器信息融合技術的基本原理及體系結構的基礎上根據特徵層融合的模型提出了基於模擬退火的特徵層融合火災探測系統實現方法，使用模擬退火演算法搜索最佳的「特徵融合系數」 ，從而提高火災探測的正確性，降低誤報率。
  10. 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

    針對實際監護現場，環境因素會隨著季節以及晝夜變化而變化，而且在不同的監控現場，環境因素也不相同的問題本文在決策層融合的框架下，利用神經網路和模糊推理技術相結合來實現多傳感器火災探測，根據實際情況，賦予不同的傳感器不同的權重系數以適應環境變化，通過模擬驗證了此種方法應用於多傳感器火災探測系統可達到預期效果。
  11. The fire detection systems based on intelligent information processing have been proposed to handle this situation. these systems have self - learning and self - adaptive. the study of them has been the direction in the study of fire detection technology

    針對火災信號的這種非結構性特點而提出的基於智能信息處理方法的火災探測系統具有自學習和自適應功能，已成為現在火災探測技術研究的方向。
  12. 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

    論文系統地討論了火災產生的機理和其三個發展階段及其各個階段的特點，討論了傳統的火災探測技術存在的缺陷並與新型火災探測技術進行了對比，在此基礎上介紹了圖像型火災探測技術的分類、使用的探測設備、圖像型火災探測系統的組成以及數字圖像處理技術。
  13. Application of fuzzy neural network in fire detecting system

    模糊神經網路在火災探測系統的應用
  14. The project which the thesis based on is to do some researches on the multi - sensor data fusion technology, then to design and implement fire detecting system

    本課題的研究內容是對多傳感器數據融合技術的研究和在此基礎上設計並實現火災探測系統。
  15. Finally the fire detection system based on bp nerve net has been realized. the experiment results show that the bpnn fire detection system has good feature of robustness

    在此基礎上，我們設計了基於bp神經網路的火災探測系統，並使用一系列的火災圖像樣本和干擾模式的圖像進行了實驗。
  16. In this dissertation, by the aid of digital image processing techniques, several detecting algorithms and the image fire detection systems based on the nerve net have been designed and realized

    本文通過對數字圖像處理技術的研究和討論，設計並實現了多種檢測演算法和基於bp神經網路的圖像型火災探測系統。
  17. This paper systematically set forth the importance of the research of intelligent fire detection system, and it introduces the principle of fire detection and the application of the traditional fire detection arithmetic and artificial intelligence fire detection arithmetic

    本文系統的闡述了智能火災探測系統研究的重要性和必要性;介紹了火災探測的原理及其傳統火災探測演算法和人工智慧火災探測演算法的應用。
  18. In order to adapt fire detecting to different environment, at last simulates all kinds of fire and disturbing environment. simulating model can give fire probability in different environment and proves the feasibility and validity of the fire detecting system proposed in this paper

    為了適應不同環境下的火災探測，本文最後對各種火型及極易引起誤報的干擾環境進行了模擬，建立的模擬模型可以給出不同環境下的火災概率，從而驗證了本文提出的火災探測系統的有效性和可行性。
  19. 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

    本文在分析了數據融合系統的三級結構及火災非結構特性的基礎上，提出了一種基於信息融合的火災探測三級結構和實現三級結構的人工智慧演算法，這些人工智慧演算法主要針對於火災的非結構特性，包括專家系統、人工神經網路、模糊控制等人工智慧技術，目的在於設計出一種快速、準確和有效的火災探測系統。
  20. With the improvement of the desire of fire detection system today, many new fire detection methods have been used for fire detection

    當今社會對火災探測系統要求日益提高，許多新的火災探測方法不斷的被引入到火災探測領域中來。
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