Suzhou Electric Appliance Research Institute
期刊號: CN32-1800/TM| ISSN2097-6623

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基于STM32的變電站煙霧識別系統(tǒng)設(shè)計

來源:電工電氣發(fā)布時間:2026-02-26 15:26 瀏覽次數(shù):1

基于STM32的變電站煙霧識別系統(tǒng)設(shè)計

梁會軍1,龍剛成2,王龍1,鐘建偉1,廖紅華1,楊永超1
(1 湖北民族大學(xué) 智能科學(xué)與工程學(xué)院,湖北 恩施 445000;
2 湖北博今電氣有限公司,湖北 恩施 445000)
 
    摘 要:變電站發(fā)生火災(zāi)時,會嚴(yán)重威脅變電站人員、設(shè)備安全。分析了變電站火災(zāi)監(jiān)測需求,提出了一種基于 STM32 單片機的變電站煙霧識別系統(tǒng)。該系統(tǒng)的控制中心采用 STM32 單片機,機智云作為遠程終端,結(jié)合多傳感器、蜂鳴器、OLED 顯示屏等,可以采集變電站環(huán)境煙霧、溫度、濕度等數(shù)據(jù),采集的數(shù)據(jù)經(jīng) STM32 單片機處理后,通過 WiFi 模塊上傳至機智云平臺或本地監(jiān)控終端。當(dāng)監(jiān)測到可燃氣體濃度、溫度、濕度等數(shù)據(jù)超出預(yù)設(shè)安全范圍時,系統(tǒng)將同步觸發(fā)現(xiàn)場報警和云端預(yù)警。相比傳統(tǒng)單一煙霧報警裝置,該系統(tǒng)通過多傳感器融合與機智云平臺協(xié)同,便于及時發(fā)現(xiàn)和處理變電站內(nèi)的火災(zāi)風(fēng)險,顯著提升了火災(zāi)監(jiān)測的維度和可靠性,保證了變電站的安全穩(wěn)定運行。
    關(guān)鍵詞: STM32 單片機;變電站;煙霧識別;火災(zāi)監(jiān)測;煙霧傳感器;溫濕度傳感器;云端預(yù)警
    中圖分類號:TM63 ;TP212.9     文獻標(biāo)識碼:A     文章編號:2097-6623(2026)02-0013-05
 
Design of Substation Smoke Recognition System Based on STM32
 
LIANG Hui-jun1, LONG Gang-cheng2, WANG Long1, ZHONG Jian-wei1, LIAO Hong-hua1, YANG Yong-chao1
(1 College of Intelligent Systems Science and Engineering, Hubei Minzu University, Enshi 445000, China;
2 Hubei Bojin Electric Co., Ltd., Enshi 445000, China)
 
    Abstract: Fires in substations pose a severe threat to the safety of personnel and equipment on site. This paper analyzes the requirements for fire monitoring in substations and proposes a substation smoke recognition system based on the STM32 microcontroller. The control core of the system is the STM32 microcontroller, with Gizwits cloud serving as the remote terminal. Combined with multi-sensors, buzzer, OLED screen and other components, the system can collect environmental data such as smoke concentration, temperature and humidity in the substation. After the collected data is processed by the STM32 microcontroller, it is uploaded to the Gizwits cloud platform or the local monitoring terminal via a WiFi module.When the monitored data such as flammable gas concentration, temperature and humidity exceed the preset safe ranges, the system will trigger onsite alarms and cloud pre-warnings simultaneously. Compared with traditional single smoke alarm devices, this system realizes the collaboration of multi-sensor fusion and the Gizwits cloud platform, which facilitates the timely detection and handling of fire risks in substations, significantly improves the dimensions and reliability of fire monitoring, and ensures the safe and stable operation of substations.
    Key words: STM32 microcontroller; substation; smoke recognition; fire monitoring; smoke sensor; temperature and humidity sensor; cloud pre-warning
 
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