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基于便攜式檢測設備的配電柜異常發(fā)熱檢測技術(shù)
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TP391.4

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Abnormal heating detection technology of distribution cabinetbased on portable detection equipment
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    摘要:

    工業(yè)車(chē)輛的配電柜和電氣箱中有大量的控制器和元器件,涉及大量的連接線(xiàn)和接口,在生產(chǎn)和調試過(guò)程中極易產(chǎn)生虛接、短接等缺陷,在運行中存在巨大隱患。對手機端的紅外發(fā)熱檢測技術(shù)進(jìn)行研究,以檢測設備試運行或運行的初期發(fā)生的異常發(fā)熱情況,采用知識庫創(chuàng )建,圖像獲取,圖像距離獲取算法,圖像融合參數校準算法,圖像融合算法和發(fā)熱檢測算法的檢測方法,解決了車(chē)上設備檢測空間狹小和基于便攜式設備檢測引發(fā)的拍攝距離和拍攝角度不確定的難題。采用基于手機攝像頭和紅外攝像頭的集成設備進(jìn)行圖像檢測,測溫精度±2℃,位置精度±3像素,滿(mǎn)足了車(chē)上設備異常發(fā)熱檢測的需求。

    Abstract:

    There are a large number of controllers and components in the distribution cabinet and electrical box of industrial vehicles, involving a large number of connecting lines and interfaces, which are easy to produce defects such as virtual connection and short circuit in the process of production and commissioning, and there are huge hidden dangers in operation. The infrared heat detection technology of mobile phone terminal is studied to detect the abnormal heat in the initial stage of test run or operation of the equipment. The detection methods of knowledge base creation, image acquisition, image distance acquisition algorithm, image fusion parameter calibration algorithm, image fusion algorithm and heat detection calculation method are used to solve the problem of narrow detection space of the equipment on the vehicle and the detection based on portable equipment The difficulty of uncertainty of shooting distance and angle caused by measurement. The integrated equipment based on mobile phone camera and infrared camera is used for image detection. The temperature measurement accuracy is ± 2 ℃ and the position accuracy is ± 3 pixels, which meets the needs of abnormal heat detection of equipment on the vehicle.

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鄭啟亮,姜金嶺,呂思宇.基于便攜式檢測設備的配電柜異常發(fā)熱檢測技術(shù)計算機測量與控制[J].,2020,28(11):32-36.

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歷史
  • 收稿日期:2020-07-03
  • 最后修改日期:2020-10-12
  • 錄用日期:2020-10-13
  • 在線(xiàn)發(fā)布日期: 2020-11-23
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