Citation: | DENG Fei. A method for improving communication robustness of belt conveyor protection system based on bus redundancy mechanism[J]. Safety in Coal Mines, 2024, 55(8): 206−213. DOI: 10.13347/j.cnki.mkaq.20240082 |
Aiming at the problem of stopping production for communication failure in the belt conveyor protection system, this paper analyzes the characteristics of the query bus and control bus of the protection system, and proposes a grouping communication and bus redundancy mechanism based on the causes and mechanisms of communication failures. The bus redundancy mechanism does not change any hardware and utilizes communication detours to ensure normal communication of the system, at the same time to alert the location and type of failures. By conducting communication tests on 10 devices along the single belt protection system, including multiple failures on the query bus, single failure on the control bus, and composite faults on the query/control bus, the problem of single failure stopping production was solved, and the communication robustness of the system was improved.
[1] |
王海军,王洪磊. 带式输送机智能化关键技术现状与展望[J]. 煤炭科学技术,2022,50(12):225−239.
WANG Haijun, WANG Honglei. Status and prospect of intelligent key technologies of belt conveyor[J]. Coal Science and Technology, 2022, 50(12): 225−239.
|
[2] |
王忠鑫,辛凤阳,宋波,等. 论露天煤矿智能化建设总体设计[J]. 煤炭科学技术,2022,50(2):37−46.
WANG Zhongxin, XIN Fengyang, SONG Bo, et al. Overall design of intelligent construction in open pit coal mines[J]. Coal Science and Technology, 2022, 50(2): 37−46.
|
[3] |
王国法. 煤矿智能化最新技术进展与问题探讨[J]. 煤炭科学技术,2022,50(1):1−27.
WANG Guofa. New technological progress of coal mine intelligence and its problems[J]. Coal Science and Technology, 2022, 50(1): 1−27.
|
[4] |
毛清华,毛金根,马宏伟,等. 矿用带式输送机智能监测系统研究[J]. 工矿自动化,2020,46(6):48−52.
MAO Qinghua, MAO Jingen, MA Hongwei, et a1. Research on intelligent monitoring system of mine used belt conveyor[J]. Industry and Mine Automation, 2020, 46(6): 48−52.
|
[5] |
张耀明,李标. 煤矿主运输系统智能控制技术研究与应用[J]. 煤炭工程,2023,55(7):22−27.
ZHANG Yaoming, LI Biao. Research and application of intelligent control technology for main transportation in coal mine[J]. Coal Engineering, 2023, 55(7): 22−27.
|
[6] |
孟娜娜,钟鹏程,雷超,等. 基于功能分析的带式输送机自动巡检机器人设计[J]. 煤炭科学技术,2022,50(8):227−235.
MENG Nana, ZHONG Pengcheng, LEI Chao, et al. Design of automatic inspection robot for belt conveyor based on function analysis[J]. Coal Science and Technology, 2022, 50(8): 227−235.
|
[7] |
张少宾,蒋卫良,芮丰. 矿用带式输送机输送量测量方法现状及发展趋势[J]. 工矿自动化,2019,45(5):100−103.
ZHANG Shaobin, JIANG Weiliang, RUI Feng. Current status and development trend of measuring methods of conveying capacity of mine-used belt conveyor[J]. Industry and Mine Automation, 2019, 45(5): 100−103.
|
[8] |
丁恩杰,俞啸,廖玉波,等. 基于物联网的矿山机械设备状态智能感知与诊断[J]. 煤炭学报,2020,45(6):2308−2319.
DING Enjie, YU Xiao, LIAO Yubo, et al. Key technology of mine equipment state perception and online diagnosis under internet of things[J]. Journal of China Coal Society, 2020, 45(6): 2308−2319.
|
[9] |
王占飞,王耀. 煤矿井下煤流运输系统智能调速研究与应用[J]. 煤炭科学技术,2022,50(S1):283−288.
WANG Zhanfei, WANG Yao. Research and application of intelligent speed regulation of coal flow transportation system in coal mine[J]. Coal Science and Technology, 2022, 50(S1): 283−288.
|
[10] |
宋凯. 矿用带式输送机智能监控系统设计与研究[J]. 机械工程与自动化,2022(4):183-185.
SONG Kai. Design and research of intelligent monitoring system of mine belt conveyor[J]. Mechanical Engineering & Automation, 2022(4): 22-25.
|
[11] |
毛清华,郭文瑾,翟姣,等. 煤矿带式输送机异常状态视频AI识别技术研究[J]. 工矿自动化,2023,49(9):36−46.
MAO Qinghua, GUO Wenjin, ZHAI Jiao, et al. Research on video AI recognition technology for abnormal state of coal mine belt conveyors[J]. Journal of Mine Automation, 2023, 49(9): 36−46.
|
[12] |
杨亮. 煤矿带式输送机胶带纵向撕裂检测与保护系统研究[J]. 能源与环保,2023,45(5):247−251.
YANG Liang. Research on longitudinal tear detection and protection system of coal mine belt conveyor[J]. China Energy and Environmental Protection, 2023, 45(5): 247−251.
|
[13] |
杨春雨,曹博仕,张鑫,等. 带式输送机系统故障诊断方法综述[J]. 工矿自动化,2023,49(6):149−158.
YANG Chunyu, CAO Boshi, ZHANG Xin, et al. Summary of fault diagnosis methods for belt conveyor systems[J]. Journal of Mine Automation, 2023, 49(6): 149−158.
|
[14] |
李晓丽,王庆福. 基于GA-BP神经网络的带式输送机故障监测系统研究[J]. 煤炭技术,2021,40(12):222−224.
LI Xiaoli, WANG Qingfu. Research on fault monitoring system of belt conveyor based on GA-BP neural network[J]. Coal Technology, 2021, 40(12): 222−224.
|
[15] |
李爽,薛广哲,方新秋,等. 煤矿智能化安全保障体系及关键技术[J]. 煤炭学报,2020,45(6):2320−2330.
LI Shuang, XUE Guangzhe, FANG Xinqiu, et al. Coal mine intelligent safety system and key technologies[J]. Journal of China Coal Society, 2020, 45(6): 2320−2330.
|
[16] |
李敬兆,孙杰臣,叶桐舟. 矿井带式输送机运行状态预测方法[J]. 工矿自动化,2022,48(2):107−113.
LI Jingzhao, SUN Jiechen, YE Tongzhou. Prediction method of operation state of mine belt conveyor[J]. Industry and Mine Automation, 2022, 48(2): 107−113.
|
[17] |
李明时,马跃,尹震宇,等. 一种多重冗余的工业物联网智能产线安全通信模型设计[J]. 小型微型计算机系统,2021,42(3):621−626.
LI Mingshi, MA Yue, YIN Zhenyu, et al. Desing of a multi-redundant secure communication model for intelligent production line of industrial of things[J]. Journal of Chinese Computer System, 2021, 42(3): 621−626.
|
[18] |
刘敏,黄敏思. 基于双冗余CAN总线的同步系统设计[J]. 单片机与嵌入式系统应用,2023,23(11):59−62.
LIU Min, HUANG Minsi. Design of synchronous system based on dual-redundant CAN bus[J]. Microcontrollers & Embedded Systems, 2023, 23(11): 59−62.
|
[19] |
张宏波,李长森,李铁麟,等. 一种新型多点互联高速冗余总线通信方法与实现[J]. 航天控制,2018,36(6):53−60.
ZHANG Hongbo, LI Changsen, LI Tielin, et al. Method and implement of a novel multi-point interconnect high-speed redundant bus communication[J]. Aerospace Control, 2018, 36(6): 53−60.
|
[20] |
赵康康. 基于冗余CAN通信的智能集成供液控制系统[J]. 仪表技术与传感器,2020(5):58−61.
ZHAO Kangkang. Intelligent integrated liquid supply control system based on redundancy CAN bus[J]. Instrument Technology and Sensor, 2020(5): 58−61.
|
1. |
李小刚,唐政,朱静怡,杨兆中,李扬,谢鹏,廖宇. 深层煤岩气压裂研究进展与展望. 天然气工业. 2024(10): 126-139 .
![]() |