• Chinese Core Periodicals
  • Chinese Core Journals of Science and Technology
  • RCCSE Chinese Authoritative Academic Journals
Email Alert RSS
Advanced Search
SONG Yidong. Design of Remote Online Upgrade Function of Mine Sensor Based on CAN Bus[J]. Safety in Coal Mines, 2020, 51(8): 120-123.
Citation: SONG Yidong. Design of Remote Online Upgrade Function of Mine Sensor Based on CAN Bus[J]. Safety in Coal Mines, 2020, 51(8): 120-123.
shu

Design of Remote Online Upgrade Function of Mine Sensor Based on CAN Bus

More Information
  • Published Date: August 19, 2020
    Graphical Abstract
    • Abstract
  • In view of the difficulties in the field program upgrade of mine sensors in underground coal mines, a remote program update method based on CAN bus and IAP function is designed to get rid of the dependence of embedded software upgrade on the programmer. By designing the Flash programming method and program starting and guiding mode of STM32F103 microprocessor, the on-line upgrade of mine sensors in underground coal mine is realized. This paper introduces the overall implementation framework, upgrades program structure and process, and elaborates the IAP program update principle. The mine bus sensor program can be updated online by field application verification.
    • FullText(HTML)
    • References (10)
  • [1]
    煤安监函[2016]5号煤矿安全监控系统升级改造技术方案[A].
    [2]
    AQ 6201—2019 煤矿安全监控系统通用技术要求[S].
    [3]
    李光学,郭燕红,李超,等.基于STM32的高可靠IAP在线烧写设计[J].电子测量技术,2018,41(17):105.
    [4]
    张涛,薛鹏骞,蒋静坪.基于CAN总线的煤矿安全监测监控系统的设计[J].煤炭科学技术,2007,35(6):46-48.
    [5]
    王邦继,刘庆想,李相强,等.CAN总线应用层协议的研究与实现[J].计算机工程与应用,2011,47(20):14-16.
    [6]
    王建斌,江冰.基于CAN总线节点的远程在线升级系统设计[J].单片机与嵌入式系统应用,2015(7):26.
    [7]
    彭刚,徐庆江,张崇金,等.基于STM32单片机的RS485总线分布式数据采集系统设计[J].伺服控制,2011(2):64-67.
    [8]
    朱传宏,沈严,颜云松,等.基于Cortex-M3的引导程序分析与设计[J].计算机与数字工程,2012,40(10):58-59.
    [9]
    李兴鹤,蔡亮,宋吉波,等.STM32用户基于IAP的程序更新技术[J].单片机与嵌入式系统应用,2012,12(1):74-75.
    [10]
    康燕萍,程小辉,黄鹏.基于STM32系列电子产品的IAP研究[J].现代电子技术,2017,40(22):142-144.
    • Related Articles

  • Related Articles

    [1]MA Jian, HUANG Zengbo, LI Zefang. Research on on-line upgrade technology of sensors in coal mine safety monitoring system[J]. Safety in Coal Mines, 2022, 53(4): 135-139.
    [2]CHEN Xian, JIN Yeyong, CHEN Kang. A wireless program upgrade method for mine personnel portable equipment[J]. Safety in Coal Mines, 2021, 52(3): 170-174.
    [3]MA Long. Application of CAN Communication Technology in Coal Mine Monitoring System[J]. Safety in Coal Mines, 2019, 50(12): 106-109.
    [4]DING Yuan, LIU Peng, ZOU Dedong, NING Liang, MAO Hongmin. Application of IAP Remote Upgrade Technology in Coal Mine Safety Monitoring Substation Based on ARM[J]. Safety in Coal Mines, 2019, 50(8): 107-110.
    [5]HUANG Yousheng. Online Upgrading Technology for Mine-used Sensor Based on ISP Technology[J]. Safety in Coal Mines, 2019, 50(1): 140-143.
    [6]YANG Shuo, DAI Guanglong, TANG Mingyun. Experiment Study on Mark Gas of Coal Spontaneous Combustion Based on Programmed Temperature Program[J]. Safety in Coal Mines, 2018, 49(7): 24-27,33.
    [7]ZENG Wei. Application of Color LCD Display in Designing Mine Sensor[J]. Safety in Coal Mines, 2018, 49(1): 118-121.
    [8]HUAI Xiaobin, YU Guisheng, WANG Risheng, HUANG Deyong, YAO Xingbo, LIANG Gaofeng. Ventilation System Optimization Program for Datai Coal Mine[J]. Safety in Coal Mines, 2015, 46(11): 121-123,127.
    [9]XU Nai-zhong, TU Min. Program Design and Application of Three-dimensional Gas Extraction Drilling[J]. Safety in Coal Mines, 2013, 44(9): 17-19.
    [10]ZHANG Bin, SHEN Guang-hui. ZKKG-1型主要通风机不停风倒机系统在矿井通风中的应用[J]. Safety in Coal Mines, 2012, 43(7): 127-129.

Catalog

    Get Citation
    XML
    Article views (25) PDF downloads (0) Cited by()
    Turn off MathJax
    Article Contents
    Abstract
    References
    Related Articles
    Links

    辽公网安备 21049802000106号　辽ICP备11020636号-9

    Website Copyright © CCTEG Shenyang Research Institute

    Address：No. 11 Binhe Road, Fushun Economic Development Zone, Liaoning　Postal Code：113122

    Tel：024-56616988/56616881　Email：mkaq@163.com

    Supported by: Beijing Renhe Information Technology Co., Ltd.  Baidu Analytics

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return