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Application of advanced detection and 5G communication technology in coal-fired boiler operation monitoring
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Manda GAO, Gengda LI, Yanqiao CHEN, Qingru CUI
Thermal Power Generation | 2023, 52(1) : 18 - 25
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Thermal Power Generation | 2023, 52(1): 18-25
Technical and economic review
Application of advanced detection and 5G communication technology in coal-fired boiler operation monitoring
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Manda GAO, Gengda LI, Yanqiao CHEN, Qingru CUI
Affiliations
  • CHN Energy New Energy Technology Research Institute Co, Ltd, Beijing 102209, China
Published: 2023-01-25 doi: 10.19666/j.rlfd.202204061
Outline
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In order to build a new power system with new energy as the main body, thermal power unit should undertake the new task of flexible operation and deep peak-regulating while maintaining power and heating supply. However, the conventional detection and communication technology is limited by the problems of poor real-time performance, slow transmission and high investment, which is difficult to support the new demand of thermal power units. Advanced detection technology and communication technology represented by 5G provide solid technical support for the state research, judgment and operation adjustment of thermal power units represented by boiler system by building a complete perceptual transmission chain, but they also face problems such as high construction investment, lack of professionals and standards. Only by setting out from the actual production, perfecting the mechanism and changing the concept, can the application effect of advanced detection and communication technology be realized. As an important part of smart power plant, the advanced detection and 5G technology will provide a solid foundation for improving the overall intelligent level of thermal power generation.

advanced detection technology  /  boiler combustion system  /  wireless network  /  5G communication technology  /  smart sensor
Manda GAO, Gengda LI, Yanqiao CHEN, Qingru CUI. Application of advanced detection and 5G communication technology in coal-fired boiler operation monitoring[J]. Thermal Power Generation, 2023 , 52 (1) : 18 -25 . DOI: 10.19666/j.rlfd.202204061
  • Science and Technology Innovation Fund of China Energy Group(GJNY-19-06)
Year 2023 volume 52 Issue 1
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Article Info
doi: 10.19666/j.rlfd.202204061
  • Online Date:2026-01-23
  • Published:2023-01-25
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  • Revised:2022-06-20
Funding
Science and Technology Innovation Fund of China Energy Group(GJNY-19-06)
Affiliations
    CHN Energy New Energy Technology Research Institute Co, Ltd, Beijing 102209, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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