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數字式多要素集成氣象測量模塊開(kāi)發(fā)
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廣東省氣象探測數據中心

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TH765; ?????

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廣東省重點(diǎn)領(lǐng)域研發(fā)計劃(對接國家重大科技專(zhuān)項)項目(2020B1111200001),廣東省重點(diǎn)領(lǐng)域研發(fā)計劃項目(2020B0101130021)。


Development of Digital Multifactor Integrated Meteorological Measurement Module
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    摘要:

    為了適應氣象觀(guān)測儀器設備微型化和數字化的需要,利用BME280作為氣象要素核心傳感元件,以及國產(chǎn)單片機STC15W408AS和外圍電路,通過(guò)硬件的電源、PCB和軟件數據質(zhì)控的優(yōu)化設計,成功開(kāi)發(fā)具有抗干擾和質(zhì)控性能的數字式、微型化、多要素集成氣象測量模塊,在筆狀大小結構的體積上實(shí)現溫度、濕度和氣壓三個(gè)要素的精準測量,形成微型數字化的智能氣象傳感器。在為期4個(gè)月的外場(chǎng)試驗過(guò)程中,將被測模塊與標準器進(jìn)行現場(chǎng)觀(guān)測數據對比分析。評估的結果表明,溫度的標準差為0.029,濕度標準差為0.047,氣壓標準差為0.000479,測量模塊的主要性能指標達到了設計要求,長(cháng)期工作穩定可靠。模塊同時(shí)具有RS232和USB雙串口輸出,很容易連接自動(dòng)氣象站,也非常方便在物聯(lián)網(wǎng)大面積氣象監測應用場(chǎng)景中作為眾多節點(diǎn)組網(wǎng)使用。

    Abstract:

    In order to meet the needs of miniaturization and digitalization of meteorological observation instruments and equipment, BME280 is used as the core sensing element of meteorological elements, as well as the domestic single-chip microcomputer STC15W408AS and peripheral circuits. Through the optimization design of hardware power supply, PCB and software data quality control, a digital, miniaturized, multi-element integrated meteorological measurement module with anti-interference and quality control performance has been successfully developed. The precise measurement of temperature, humidity and air pressure is realized on the volume of pen-like structure, and a miniature digital intelligent meteorological sensor is formed. During the field test for 4 months, the measured module and the standard were compared and analyzed. The evaluation results show that the standard deviation of temperature is 0.029, the standard deviation of humidity is 0.047, and the standard deviation of air pressure is 0.000479. The main performance indicators of the measurement module meet the design requirements, and the long-term work is stable and reliable. The module has dual serial port output of RS232 and USB, which is easy to connect to automatic weather stations. It is also very convenient to use as a multi-node network in large-scale meteorological monitoring application scenarios of the Internet of Things.

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呂雪芹,黃宏智,何艷麗.數字式多要素集成氣象測量模塊開(kāi)發(fā)計算機測量與控制[J].,2023,31(2):69-75.

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歷史
  • 收稿日期:2022-09-25
  • 最后修改日期:2022-11-07
  • 錄用日期:2022-11-08
  • 在線(xiàn)發(fā)布日期: 2023-02-16
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