自动化博览
自動化博覽
자동화박람
Automation Panorama
2015年
9期
74-77
,共4页
核电站%实物保护系统%无线传感器网络%特殊三角形%动目标%区域投票法
覈電站%實物保護繫統%無線傳感器網絡%特殊三角形%動目標%區域投票法
핵전참%실물보호계통%무선전감기망락%특수삼각형%동목표%구역투표법
Nuclear power plant%Physical protection system%Wireless sensor networks%Peculiar triangle%Moving target%Local voting method
核电站一般建在偏远的地方,地势开阔,可供人通行的路径多,实时监测困难。现有核电站实物保护系统的监视范围较小,对核电站的整个周界不能形成有效地实时监视。这就让不受地域和环境限制的无线传感器网络大有可为。但由于节点随机撒布和复杂多变的环境干扰,使得节点上传感器的检测概率和虚警概率难以先验获取,从而导致基于传感器特征已知的检测算法在无线传感器网络应用中面临困难。本文提出了一种针对动目标检测的方法——区域投票法。该方法通过搜索特殊三角形外心,确定目标经过区域,而后通过在特定圆形区域内使用投票法来检测目标是否存在。仿真结果表明,与全区域节点加权法相比,在复杂环境下,所提出的目标检测方法可以达到高检测概率,同时可以有效降低虚警率。完全满足核电站对周界实时监测的需要。
覈電站一般建在偏遠的地方,地勢開闊,可供人通行的路徑多,實時鑑測睏難。現有覈電站實物保護繫統的鑑視範圍較小,對覈電站的整箇週界不能形成有效地實時鑑視。這就讓不受地域和環境限製的無線傳感器網絡大有可為。但由于節點隨機撒佈和複雜多變的環境榦擾,使得節點上傳感器的檢測概率和虛警概率難以先驗穫取,從而導緻基于傳感器特徵已知的檢測算法在無線傳感器網絡應用中麵臨睏難。本文提齣瞭一種針對動目標檢測的方法——區域投票法。該方法通過搜索特殊三角形外心,確定目標經過區域,而後通過在特定圓形區域內使用投票法來檢測目標是否存在。倣真結果錶明,與全區域節點加權法相比,在複雜環境下,所提齣的目標檢測方法可以達到高檢測概率,同時可以有效降低虛警率。完全滿足覈電站對週界實時鑑測的需要。
핵전참일반건재편원적지방,지세개활,가공인통행적로경다,실시감측곤난。현유핵전참실물보호계통적감시범위교소,대핵전참적정개주계불능형성유효지실시감시。저취양불수지역화배경한제적무선전감기망락대유가위。단유우절점수궤살포화복잡다변적배경간우,사득절점상전감기적검측개솔화허경개솔난이선험획취,종이도치기우전감기특정이지적검측산법재무선전감기망락응용중면림곤난。본문제출료일충침대동목표검측적방법——구역투표법。해방법통과수색특수삼각형외심,학정목표경과구역,이후통과재특정원형구역내사용투표법래검측목표시부존재。방진결과표명,여전구역절점가권법상비,재복잡배경하,소제출적목표검측방법가이체도고검측개솔,동시가이유효강저허경솔。완전만족핵전참대주계실시감측적수요。
The nuclear power plant (NPP) is commonly constructed in distant suburbs which has wide surrounding space. There are many routes to approach the NPP so that is very difficult to take surveillance to all of routes. The existing physical protection system can only monitor a small region. All of these give good opportunity to wireless sensor networks (WSN) which is not limited to region and surrounding. But, the random distribution of the nodes and the intricate disturbance of the environment makes difficult to obtain the prior of the detection and false alarm probability of sensors. Accordingly, difficulty is brought into the detection algorithms that based on the characteristics of sensors. A new target detection method--Local Voting--is proposed in this paper. It first finds out the object region by seeking the centroid of a peculiar triangle. Then, the object is determined based on a voting method in a given circular region. Simulation results show that the proposed local voting method can effectively has high detection probability and low false alarm rate in intricate environment compared with the global weighting method. It can fully satisfy the demand of real time surveillance on perimeter around NPP.