• Chinese Core Periodicals
  • Chinese Core Journals of Science and Technology
  • RCCSE Chinese Authoritative Academic Journals
LI Wenfeng, TUO Lulu, LI Bo, et al. A mine intrinsically safe watch design[J]. Safety in Coal Mines, 2024, 55(4): 226−230. DOI: 10.13347/j.cnki.mkaq.20230944
Citation: LI Wenfeng, TUO Lulu, LI Bo, et al. A mine intrinsically safe watch design[J]. Safety in Coal Mines, 2024, 55(4): 226−230. DOI: 10.13347/j.cnki.mkaq.20230944

A mine intrinsically safe watch design

More Information
  • Received Date: July 06, 2023
  • Revised Date: July 27, 2023
  • In order to realize the underground portable real-time monitoring of the vital signs of personnel and timely arrange rescue, a mine intrinsically safe watch was designed. Take NRF52840 low energy bluetooth chip as the control core, using GH3020 health monitoring IC + MPU6050 acceleration sensor + NST112x temperature sensor as the acquisition unit, combined with the power circuit design, to achieve vital signs data acquisition, BLE/Wi-Fi combined with high-precision RSSI technology to realize the rapid detection of device location signals. The Cortex-M4F core is used to provide efficient data calculation, compression, storage and remote transmission of data. The watch has the characteristics of high integration, good stability, high precision and low power consumption, and supports TCP/IP, ANT, Thread wireless communication and other protocols. After testing, the data acquisition accuracy, power consumption, sustainable working time and other indicators of the equipment have reached the productization standard, and are displayed on the PC in real time, to provide important protection for the life and health of miners.

  • [1]
    郭峰. 基于KTE5型矿山救援可视化系统数据采集技术研究[D]. 西安:西安科技大学,2012.
    [2]
    陈平,吴国盛,陈晓宇. 基于PPG信号的人体生理参数监测和分析技术研究[J]. 医疗卫生装备,2023,44(1):47−52.

    CHEN Ping, WU Guosheng, CHEN Xiaoyu. Research on human physiological parameter monitoring and analysis technology based on PPG signal[J]. Chinese Medical Equipment Journal, 2023, 44(1): 47−52.
    [3]
    梁晨阳,华钢. 基于信道状态信息的井下人员行为识别方法研究[J]. 煤炭技术,2022,41(11):182−186.

    LIANG Chenyang, HUA Gang. Research on identification method of underground personnel behavior based on channel state information[J]. Coal Technology, 2022, 41(11): 182−186.
    [4]
    CHOI Hyojeong, CHAI Jongseo. FPGA-based trapezoidal digital pulse shaping in nuclear spectrometry[J]. Journal of the Korean Physical Society, 2023, 38(5): 236−243.
    [5]
    CRISTIANO André da Costa, CRISTIAN F Pasluosta. Internet of Health Things: Toward intelligent vital signs monitoring in hospital wards[J]. Artificial Intelligence in Medicine, 2018, 89(5): 61−69.
    [6]
    丁莹芝,毕凌志. 基于STM32的无线心率实时监测装置[J]. 云南化工,2020,47(12):160−161. doi: 10.3969/j.issn.1004-275X.2020.12.51

    DING Yingzhi, BI Lingzhi. Wireless heart rate real time monitoring device based on STM32[J]. Yunnan Chemical Technology, 2020, 47(12): 160−161. doi: 10.3969/j.issn.1004-275X.2020.12.51
    [7]
    张丹生. 基于传感器网络的学生体能训练监测系统研究[J]. 自动化与仪器仪表,2022(10):143−149.

    ZHANG Dansheng. Research on student physical training monitoring system based on sensor network[J]. Automation & Instrumentation, 2022(10): 143−149.
    [8]
    高正源,李旭,李正芳,等. 热渐进成形中加热方式及测温方法的研究进展[J]. 精密成形工程,2023,15(2):160−170.

    GAO Zhengyuan, LI Xu, LI Zhengfang, et al. Research progress of heating and temperature measurement methods in thermal progressive forming[J]. Journal of Netshape Forming Engineering, 2023, 15(2): 160−170.
    [9]
    李健. 温度传感器的动态特性研究及测试方法实现[J]. 机电信息,2022(17):19−23.
    [10]
    刘奕琨,彭光宇. 电池保护电路在矿用本安电路中的应用[J]. 煤矿机电,2022,43(5):32−35.

    LIU Yikun, PENG Guangyu. Application of battery protection circuit in intrinsically safe circuit for mining[J]. Colliery Mechanical & Electrical Technology, 2022, 43(5): 32−35.
    [11]
    徐冰珂,周宇喆,杨茂林,等. 面向电信行业网络告警系统的告警过滤算法[J]. 计算机应用,2018,38(10):2881−2885.

    XU Bingke, ZHOU Yuzhe, YANG Maolin, et al. Alarm-filtering algorithm of alarm management system for telecom networks[J]. Journal of Computer Applications, 2018, 38(10): 2881−2885.
  • Related Articles

    [1]FENG Yufeng, DONG Huzi. Estimation of coal seam gas pressure based on gas desorption characteristics of coal with different moisture contents[J]. Safety in Coal Mines, 2023, 54(9): 8-14. DOI: 10.13347/j.cnki.mkaq.2023.09.002
    [2]ZHANG Hongtu, HAO Yushuang, WEI Jianping. Study on Characteristic Parameters of Particulate Coal Gas Desorption and Diffusion Under Negative Pressure Environment[J]. Safety in Coal Mines, 2020, 51(10): 191-195.
    [3]LI Xiulei. Study on Applicability of Different Desorption Formulas to Gas Desorption of Mixed Particle Coal[J]. Safety in Coal Mines, 2020, 51(9): 35-40.
    [4]GUO Ping. Experimental Study on Influence of Gas Pressure on Coal Adsorption/Desorption Deformation Characteristics[J]. Safety in Coal Mines, 2019, 50(9): 13-16.
    [5]JIN Bing. Gas Desorption Characteristics of Tectonic Coal and Its Influence on Coal and Gas Outburst[J]. Safety in Coal Mines, 2019, 50(4): 10-13.
    [6]LEI Hongyan. Experimental Study on Rapid Determination of Non-desorption Gas Content at Atmospheric Pressure[J]. Safety in Coal Mines, 2018, 49(7): 5-8,12.
    [7]CAI Yongle, YANG Xiaobin, CAI Binbin, LI Quanzhong. Experimental Study on Gas Desorption Laws of Loading Coal Sample[J]. Safety in Coal Mines, 2016, 47(10): 5-8.
    [8]WANG Lu, FENG Zengchao, ZHAO Dong. Test on Methane Desorption Characteristics Under Different Temperature and Water Injection Pressure[J]. Safety in Coal Mines, 2015, 46(12): 4-7.
    [9]QIN Yueping, LIU Peng, YANG Yinlei, ZHU Ying, HAO Yongjiang. Experiment Research on Variable Pressure Desorption Law of Gas in Coal Particle[J]. Safety in Coal Mines, 2015, 46(11): 1-5.
    [10]CHI Lei-lei, WANG Qi-fei, WANG Fei-yin, LI Zhen, DONG Li-hui, SHI Quan-shou. Coal Gas Desorption and Diffusion Laws and Its Experimental Study[J]. Safety in Coal Mines, 2013, 44(12): 1-3,10.

Catalog

    Article views (39) PDF downloads (14) Cited by()

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return