[1]陈 宁.基于工业物联网的煤矿巡检多机器人[J].工业仪表与自动化装置,2023,(02):51-56.[doi:10.19950/j.cnki.cn61-1121/th.2023.02.010]
　CHEN Ning.Multi-robot low energy consumption control for coal mine inspection based on Industrial Internet of Things[J].Industrial Instrumentation & Automation,2023,(02):51-56.[doi:10.19950/j.cnki.cn61-1121/th.2023.02.010]
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基于工业物联网的煤矿巡检多机器人

《工业仪表与自动化装置》[ISSN:1000-0682/CN:61-1121/TH]

卷:
期数:
2023年02期
页码:
51-56
栏目:
出版日期:
2023-04-15

文章信息/Info

Title:
Multi-robot low energy consumption control for coal mine inspection based on Industrial Internet of Things
文章编号:
1000-0682（2023）02-0051-06
作者:
陈 宁
中国煤炭科工集团太原研究院有限公司，山西 太原 030006
Author(s):
CHEN Ning
Taiyuan Institute of China Coal Technology and Engineering Group,Shaanxi Taiyuan 030006, China
关键词:
工业物联网; 数据采集; 煤矿巡检机器人; 低能耗控制方法
Keywords:
ndustrial Internet of Things;  data collection;  coal mine inspection robot;  low energy consumption control method
分类号:
TP242
DOI:
10.19950/j.cnki.cn61-1121/th.2023.02.010
文献标志码:
A
摘要:
在复杂地形的煤矿巡检中，针对多个器人联合控制过程中能耗较高问题，随着工业物联网的普及，对多机器的联合控制方法逐渐成为可能。提出基于工业物联网的煤矿巡检多机器人低能耗控制方法。通过工业物联网中的无线传感器采集多个机器人的状态数据，利用物联网特征开展机器人的联合动力学分析，确定不同机器人运动时的驱动力矩，并以此计算每个机器人作业时的相关能耗值。根据能耗值制定机器人最低能耗约束条件，利用递归模糊神经网络计算能耗值，可以提高能耗值非线性求解的速率。将计算的数值输入到构建的巡检能耗控制模型，完成巡检机器人的低能耗控制。实现巡检多机器人的低能耗控制。测试实验结果表明：对比蚁群优化算法和强化学习方法，使用该方法控制巡检多机器人时，30 s内上坡、下坡移动速度均低于10 m/s。在200 unit 范围时，移动步数可达39 mm，能耗控制效果较好。
Abstract:
In the inspection of coal mines with complex terrain, in view of the problem of high energy consumption in the process of multi robot joint control, with the popularization of the industrial Internet of Things, the joint control method for multiple machines has gradually become possible. A low energy consumption control method based on industrial Internet of Things for coal mine inspection multi robot is proposed. The state data of multiple robots are collected through wireless sensors in the industrial Internet of Things, and the joint dynamic analysis of robots is carried out using the characteristics of the Internet of Things to determine the driving torque of different robots when moving, and then the relevant energy consumption value of each robot when working is calculated. According to the energy consumption value, the minimum energy consumption constraint condition of the robot is formulated, and the recursive fuzzy neural network is used to calculate the energy consumption value, which can improve the nonlinear solving speed of the energy consumption value. Input the calculated values into the constructed patrol energy consumption control model to complete the low energy consumption control of the patrol robot. The test results show that, compared with the ant colony optimization algorithm and the reinforcement learning method, when using this method to control the patrol multi robot, the moving speed of the uphill and downhill is lower than 10 m/s within 30 seconds. In the range of 200 unit, the number of moving steps can reach 39 mm, and the energy consumption control effect is good..

参考文献/References:

[1]张超,宋卫东,付建新,等.海底矿山开采扰动下岩体稳定性分析[J].中国矿业大学学报,2020,49(06):1035-1045.[2]李建中,周爱国,周建伟,等.华北煤田矿山开采导致含水层破坏风险评估:以淄博洪山煤矿为例[J].地球科学,2020,45(03):1027-1040.

[3]许艳英,包宋建.采用蚁群算法优化的机器人运动路径能耗模糊控制研究[J].中国工程机械学报,2020,18(02):113-118.
[4]AGRAWAL A, WON S J, SHARMA T, et al. A multi-agent reinforcement learning framework for intelligent manufacturing with autonomous mobile robots[J]. Proceedings of the Design Society, 2021, 1: 161-170.
[5]QADRI I, MUNEER A, FATI S M. Automatic robotic scanning and inspection mechanism for mines using IoT[C]//IOP conference series: Materials science and engineering. IOP Publishing, 2021, 1045(1): 012001.
[6]白俊.数据挖掘技术在采摘机器人图像采集过程应用[J].农机化研究,2022,44(07):192-195.
[7]白杰,全海燕,汪长辉,等.水下机器人在深水OBN地震采集中的应用[J].石油物探,2022,61(02):286-292.
[8]王成军,王智慧,金力,等.双臂型井下巡检机器人动力学分析[J].煤炭技术,2021,40(11):181-185.
[9]高志伟,代学武,郑志达.基于运动控制和频域分析的移动机器人能耗最优轨迹规划[J].自动化学报,2020,46(05):934-945.
[10]张冯,张尚盈,陈晧晖.两栖复合腿机器人运动仿真及能耗分析[J].机床与液压,2021,49(12):153-157.
[11]贾文友,江磊,曹紫阳,等.能耗约束优化工业机器人作业轨迹[J].计算机工程与应用,2021,57(15):245-250.
[12]张子凯,唐秋华,张利平,等.基于混合灰狼算法实现第Ⅱ类机器人U型装配线能耗优化[J].中国机械工程,2018,29(16):1990-1995.

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备注/Memo

备注/Memo:
收稿日期：2022-10-09
基金项目：山西省基础研究计划项目：晃动基座下掘进装备捷联惯导系统对准方法研究（202103021223461）
第一作者：
陈宁（1987-），男，汉族，河南叶县人，硕士，助理研究员，研究方向为煤矿装备电气、智能化。
更新日期/Last Update: 1900-01-01