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消防機器人底盤(pán)熱防護多通道溫度采集系統設計與試驗
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洛陽(yáng)理工學(xué)院

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TP39 ;TP27

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國家重點(diǎn)研發(fā)計劃資助(2019YFB1312101);河南省重點(diǎn)研發(fā)與推廣專(zhuān)項(202102210333);河南省高等學(xué)校重點(diǎn)科研項目(20A460020);洛陽(yáng)理工學(xué)院2020年度“專(zhuān)創(chuàng )融合”課程建設項目。


Design and Experiment of Multi-channel Temperature Acquisition System for Fire Fighting Robot Chassis Thermal Protection
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    摘要:

    針對消防機器人底盤(pán)工作環(huán)境不低于300℃的要求,以及對底盤(pán)型腔進(jìn)行多點(diǎn)測溫的需求,開(kāi)發(fā)了基于Labview的消防機器人底盤(pán)熱防護8通道溫度采集軟硬件系統。實(shí)現了基于串口Modbus RTU協(xié)議的溫度數據采集與傳輸,系統具有用戶(hù)注冊、串口配置、溫度曲線(xiàn)實(shí)時(shí)顯示、超溫聲光報警、數據顯示與保存、歷史數據回放、數據表顯示與小波降噪等功能。通過(guò)該系統對底盤(pán)型腔進(jìn)行了4種工況的熱防護溫度檢測試驗,驗證了系統的可靠性。此外,針對溫度曲線(xiàn)中出現的噪聲干擾,引入了小波分析,采用Labview與Matlab混合編程方法,通過(guò)小波閾值濾波算法對采集到的數據進(jìn)行了降噪處理,并與各通道溫度原始數據進(jìn)行了對比,達到了較好的濾波效果。該系統可視化效果好,數據采集實(shí)時(shí)且準確,對工業(yè)現場(chǎng)多點(diǎn)溫度的實(shí)時(shí)檢測具有借鑒意義。

    Abstract:

    Aiming at the working environment of the fire-fighting robot chassis is not lower than 300℃, for meeting the demand of multi-point temperature measurement of the robot chassis cavity, an 8-channel temperature acquisition system consisting of the software and the hardware based on Labview platform is developed, which can be used for the thermal protection testing of the fire-fighting robot chassis. The system realizes the temperature data collection and transmission by the serial port and Modbus RTU protocol, in detail, which has the functions of user registration, serial port configuration, temperature curve real-time display, over-temperature sound and light alarm, data display and storage, historical data playback, data table display and wavelet denoising. Through this system, four working conditions of thermal protection temperature detection experiments for the chassis cavity are carried out , and the reliability of the system is verified. In addition, in view of the noise interference appearing in the temperature curve, Labview and Matlab hybrid programming method is adopted through calling Matlab"s own wavelet threshold filtering algorithm , the collected data is filtered by four different threshold criteria. Meanwhile, which is compared with the original temperature data of each channel, indicating that a better filtering effect is obtained. In conclusion, the system has good visualization effect, real-time and accurate data collection function, which has certain reference significance for real-time detection of multi-point temperature in industrial field.

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張慧賢,張學(xué)賀,馬利民,郭哲鋒,梁莉,郭兆鋒,王一鳴,曾鑫寶.消防機器人底盤(pán)熱防護多通道溫度采集系統設計與試驗計算機測量與控制[J].,2022,30(4):190-196.

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歷史
  • 收稿日期:2021-10-05
  • 最后修改日期:2021-11-18
  • 錄用日期:2021-11-19
  • 在線(xiàn)發(fā)布日期: 2022-04-21
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