无线通信定位一体化进展及其在煤矿井下应用分析

胡延军; 赵英柱; 杨一雪; 翟雨双; 李世银

doi:10.13272/j.issn.1671-251x.17945

无线通信定位一体化进展及其在煤矿井下应用分析

doi: 10.13272/j.issn.1671-251x.17945

胡延军^{1, 2,},
赵英柱¹,
杨一雪¹,
翟雨双¹,
李世银^{1, 2}

1.
中国矿业大学信息与控制工程学院, 江苏徐州　221116
2.
地下空间智能控制教育部工程研究中心, 江苏徐州　221116

基金项目: 山东省重大科技创新工程项目（2019JZZY020505）。

详细信息

作者简介:
胡延军（1974—），男，浙江开化人，副教授，博士，研究方向为煤矿井下无线定位、煤矿物联网技术等，E-mail：yjhu@cumt.edu.cn

中图分类号: TD655/67
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- 被引次数: 0
出版历程
- 收稿日期: 2022-05-10
- 修回日期: 2022-09-04
- 网络出版日期: 2022-09-22

Development of integrated localization and wireless communication and its application in the underground coal mine

1.
School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China
2.
Engineering Research Center of Intelligent Control for Underground Space, Ministry of Education, China University of Mining and Technology, Xuzhou 221116, China

摘要

摘要: 无线通信定位一体化（ILWC）是一种基于硬件资源及软件信息共享以实现定位与通信功能协同的新型信息技术。通过简述无线通信技术和定位技术的研究进展，揭示了ILWC技术是无线通信系统承载业务拓展的必然结果。给出了不同研究对于ILWC技术的定义和内涵，明确了ILWC核心思想为“硬件集成，软件共享”，按照设备复用和深度融合2个阶段综述了ILWC技术的研究进展。结合煤矿井下场景的特殊性，提出了煤矿井下ILWC概念：基于时间、空间、频谱、计算等资源共享，具有场景自动感知和资源动态自适应分配机制的通信功能和定位功能融合技术。对煤矿井下ILWC在大巷、中央变电所、井底车场、采煤工作面等场景的适应性进行了讨论，指出井下ILWC面临的挑战是煤矿井下无线信道复杂性、基站部署不均衡性、井下复杂场景精准判别。
- 智能矿山 /
- 无线通信 /
- 无线定位 /
- 无线通信定位一体化 /
- 通信与定位协同 /
- 5G /
- 场景自动感知 /
- 资源自适应分配
Abstract: Integrated localization and wireless communication(ILWC) is a new information technology based on hardware resources and software information sharing to realize the coordination of location and communication functions. This paper briefly introduces the research progress of wireless communication technology and localization technology, and reveals that ILWC technology is the inevitable result of the bearer services expansion of wireless communication system. This study summarizes the definition and connotation of ILWC technology in different research. The core idea of ILWC is defined as "hardware integration and software sharing". The research progress of ILWC technology is summarized according to the two stages of equipment reuse and deep fusion. Combined with the particularity of the scene of the coal mine, the concept of ILWC in the coal mine is put forward. Based on the sharing of time, space, spectrum, computing and other resources, the technology is the fusion technology of communication function and localization function with an automatic scene perception and dynamic and adaptive resource allocation mechanism. The adaptability of underground ILWC in roadway, central substation, underground parking lot, coal working face and other scenes is discussed. It is pointed out that the challenges faced by underground ILWC are the complexity of underground wireless channel, unbalanced deployment of base stations and precise recognition of complex underground scene.
- intelligent mine /
- wireless communication /
- wireless localization /
- integrated localization and wireless communication /
- communication and localization coordination /
- 5G /
- automatic scene perception /
- adaptive resource allocation

HTML全文

图 1 移动通信技术发展

Figure 1. Development of mobile communication technologies

下载: 全尺寸图片幻灯片

图 2 无线通信技术传输速率及能量损耗

Figure 2. Transmit speed and energy consumption of wireless communication technologies

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图 3 常用的定位计算方法

Figure 3. Frequently-used localization calculation methods

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图 4 部分室内定位算法的精度发展

Figure 4. Precision development of some indoor localization algorithms

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图 5 设备复用阶段ILWC技术

Figure 5. ILWC technology in equipment reuse stage

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表 1 设备复用阶段ILWC研究进展

Table 1. Research progress of ILWC in equipment reuse stage

文献	ILWC复用方式		网络功能与定位性能
文献	无线网络	定位信息	网络功能与定位性能
[43]	RFID	相位差	维持双向通信功能，理想定位精度在0.01 m以内
[28,44]	WiFi	AOA	WiFi 带宽不损失，定位精度达 0.5 m
[45]	WiFi	AOA+RSSI	WiFi 带宽不损失，室内定位精度达0.4 m
[46]	WiFi	指纹	WiFi带宽不损失，定位精度为0.92~1.92 m
[29,47]	Bluetooth	指纹	提供指纹信息，能耗增大，定位精度为1~2 m
[48]	ZigBee	TOA	能耗增大，定位精度小于1.54 m
[32]	UWB	TDOA	抗多径干扰，定位精度为0.18~0.33 m
[31]	UWB	指纹+TOA	抗多径干扰，定位复杂度增加，定位精度在0.12 m以内
[49]	5G	TOA	高带宽，抗多径干扰，定位精度在 1.19 m以内

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表 2 深度融合阶段ILWC研究进展

Table 2. Research progress of ILWC in deep fusion stage

文献	方向	研究进展
[50-51]	感知通信共存性能极限	提出雷达和通信联合信号的模型假设，定义雷达速率评估的CRLB准则
[52]	通信感知工作频率分配	提出基于通信感知工作频率重叠的动态频谱分配方法
[53]	通信与感知功率等资源分配	提出针对协同波束成形和功率分配问题的设计方法
[60]	通信辅助定位	利用节点之间的通信来辅助定位
[61-64]	位置辅助通信	研究揭示了位置信息可用于认知无线网络，以优化网络性能
[58-59]	通信感知波束成形	提出混合波束成形与MIMO技术设计模型，建议在非凸常数模算法和功率约束下设计模拟和数字波束成形器

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表 3 煤矿井下不同场景ILWC技术适用性

Table 3. Applicability of ILWC technology in different scenes in underground coal mine

煤矿场景	无线网络	定位方法
井下大巷	5G	AOA，TOA等非指纹方法
中央变电所	UWB	TOF，TDOA
井底车场	ZigBee	TOA，TDOA
采煤工作面	WiFi，UWB	AOA，AOA与TOA/TDOA融合方法

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