煤炭工业互联网技术研究综述

杨军; 张超; 杨恢凡; 郭一楠

doi:10.13272/j.issn.1671-251x.18081

煤炭工业互联网技术研究综述

doi: 10.13272/j.issn.1671-251x.18081

杨军^{1, 2, 3,},
张超^{1, 2},
杨恢凡^{1, 2},
郭一楠^{1, 3}

1.
煤矿智能化与机器人创新应用应急管理部重点实验室, 北京　100083
2.
中国矿业大学(北京)大数据与物联网研究中心, 北京　100083
3.
矿业大学(北京)内蒙古研究院, 内蒙古鄂尔多斯　010300)

基金项目: 国家自然科学基金创新研究群体项目（52121003）。

详细信息

作者简介:
杨军（1978—），男，河南南阳人，教授级高级工程师，主要研究方向为大数据理论与技术、煤炭工业互联网，E-mail：yj@cumtb.edu.cn

中图分类号: TD67
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- 文章访问数: 255
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- 被引次数: 0
出版历程
- 收稿日期: 2023-02-22
- 修回日期: 2023-03-31
- 网络出版日期: 2023-04-27

Research summary on coal industry internet technology

YANG Jun^{1, 2, 3
,},
ZHANG Chao^{1, 2},
YANG Huifan^{1, 2},
GUO Yinan^{1, 3}

1.
Key Laboratory of Intelligent Mining and Robotics, Ministry of Emergency Management, Beijing 100083, China
2.
Research Center of Big Data and Internet of Things, China University of Mining and Technology-Beijing, Beijing 100083, China
3.
Inner Mongolia Research Institute of China University of Mining and Technology-Beijing, Erdos 010300, China

摘要

摘要: 煤炭工业互联网是加速煤炭领域高质量发展的重要引擎，可有效驱动能源领域设备智能化、产业数字化。给出了煤炭工业互联网体系架构，从感知层、传输层、赋能平台、工业APP、信息安全5个方面分析了煤炭工业互联网技术研究现状和发展方向。感知层在实现超低功耗、精准感知、高可靠性、能量自动捕获等方面取得进步，但仍存在感知手段单一、易受环境因素影响等问题，目前还无法充分满足矿井泛在感知需求，可从新型传感器研发、低功耗和能量收集技术、抗电磁干扰技术、智能感知技术等方面进一步提高感知层智能化水平。传输层现有的以太网、4G、WiFi等技术无法满足智慧矿山高可靠、高带宽、低延迟的传输要求，5G技术可满足全矿井泛在感知需求，但在井下应用中仍存在最大射频功率受限、无法可靠应对井下应急场景等问题，因此目前井下还不能完全使用5G替代传统通信网络。赋能平台是煤炭工业互联网推动智能化的中枢和核心，指出大数据是赋能平台的关键要素，煤炭工业机理模型和诊断决策模型是赋能平台的灵魂，数字孪生技术可为煤炭行业生产、决策、管理等环节赋能。工业APP可为煤炭产业链各环节提供服务，帮助煤炭行业攻克高风险、工艺继承创新难、产业链协同难等难题，但是煤炭领域工业APP的发展应用仍不成熟。信息安全是煤矿智能化建设的保障，需要从物理信息安全、网络信息安全、系统信息安全、数据信息安全和应用信息安全等方面采取措施，提升安全防护水平。
- 煤炭工业互联网 /
- 智能感知 /
- 5G /
- 赋能平台 /
- 工业APP /
- 信息安全 /
- 大数据 /
- 数字孪生 /
- 设备智能化 /
- 产业数字化
Abstract: The coal industry internet is an important engine to accelerate the high-quality development of the coal field. It can effectively drive the equipment intelligence and industry digitization in the energy field. The architecture of the coal industry internet is given. The research status and development direction of the coal industry internet technology are analyzed from five aspects: perception layer, transmission layer, empowerment platform, industrial APP, and information security. The perception layer has made progress in achieving ultra-low power consumption, precise perception, high reliability, and automatic energy capture. However, there are still problems such as single perception method and susceptibility to environmental factors. It cannot fully meet the needs of ubiquitous perception in mines. The intelligence level of the perception layer can be further improved through the development of new sensors, low-power and energy collection technologies, anti-electromagnetic interference technologies, and intelligent perception technologies. The existing Ethernet, 4G, WiFi and other technologies in the transmission layer cannot meet the high reliability, high bandwidth, and low latency transmission requirements of intelligent mines. 5G technology can meet the ubiquitous sensing requirements of the entire mine. However, there are still problems in underground applications such as limited maximum RF power and the incapability to reliably respond to underground emergency scenarios. Therefore, currently, 5G cannot fully replace traditional underground communication networks. The empowerment platform is the center and core of the coal industry internet to promote intelligence. It points out that big data is the key element of the empowerment platform. The mechanism model and diagnostic decision-making model of the coal industry are the soul of the empowerment platform. Digital twin technology can empower the production, decision-making, management and other links of the coal industry. Industrial APP can provide services for various links in the coal industry chain, and help the coal industry overcome challenges such as high risks, difficulty in process inheritance and innovation, and difficulty in industrial chain collaboration. However, the development and application of industrial APP in the coal industry are still immature. Information security is the guarantee for the intelligent construction of coal mines, and measures need to be taken from physical information security, network information security, system information security, data information security, and application information security to improve the level of security protection.
- coal industry internet /
- intelligent perception /
- 5G /
- empowerment platform /
- industrial APP /
- information security /
- big data /
- digital twin /
- equipment intelligence /
- industry digitization

HTML全文

图 1 煤炭工业互联网体系架构

Figure 1. Coal industry internet architecture

下载: 全尺寸图片幻灯片

图 2 煤矿大数据处理过程

Figure 2. Process of coal mine big data processing

下载: 全尺寸图片幻灯片

图 3 煤炭领域工业APP应用

Figure 3. Industrial APP application in coal field

下载: 全尺寸图片幻灯片

表 1 无线网络技术对比

Table 1. Comparison of mine wireless network technologies

传输技术	技术指标	优点	缺点
ZigBee	采用IEEE 802.15.4标准，传输距离从75 m至数百米	近距离，低复杂度，低功耗，低成本	性能较差，传输速率较低
4G	支持100 Mibit/s下载速率、50 Mibit/s上传速率	便捷高效，传输速率高，传输距离长	成本较高，功耗较高
WiFi	采用IEEE 802.11标准，传输速率为54 Mibit/s或更高，空旷地带无线传输距离为300 m	传输速率高，成本较低，较为可靠	覆盖范围受限，跨AP切换时延较大
LoRa	空旷地带传输距离达15 km，最高传输速率为600 KiB/s	广覆盖，低功耗，长距离	传输速率低
UWB	采用时间间隔极小（纳秒级）的脉冲进行通信	密度低，功率低，穿透力强，抗干扰效果好，传输速率高，定位精度高	传输距离短，缺少大规模商业应用
5G	要求最低速率为1 Gibit/s，时延为1 ms	高带宽，低时延，广连接	成本较高，井下应用存在限制

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