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Anti-collision online early warning method for construction machinery around transmission line
- Telecommunications Science Vol. 38, Issue 5, Pages: 95-103(2022)
- 作者机构：
1. 国网上海市电力公司青浦供电公司，上海 201799
2. 上海四量电子科技有限公司，上海 201415
- 作者简介：
- 基金信息：
DOI：10.11959/j.issn.1000-0801.2022065
CLC： TM831-
Published Online：2022-05，
Published：20 May 2022
- 稿件说明：
移动端阅览
Chaojie CHEN, Wei XIE, Linwei HE, et al. Anti-collision online early warning method for construction machinery around transmission line[J]. Telecommunications science, 2022, 38(5): 95-103.
Chaojie CHEN, Wei XIE, Linwei HE, et al. Anti-collision online early warning method for construction machinery around transmission line[J]. Telecommunications science, 2022, 38(5): 95-103. DOI： 10.11959/j.issn.1000-0801.2022065.
摘要
输电线路传输距离长、通道环境复杂，大型施工机械造成的撞击事故时有发生。现有的输电线路防撞监测方案主要依靠人工实现，既耗费大量人力资源，也难以保证监测覆盖面。因此，针对性地提出了针对输电线路周边工程机械的防撞在线预警方法，该方法创新地利用智能传感器及压缩感知算法，可实现输电线路通道内的工程机械类威胁异物自动在线预警。利用摄像模块、微波测距模块采集目标的像素分布特征、形状特征以及距离特征，并传输到后台。后台服务器利用建立的离线特征目标数据库，通过压缩感知算法实现针对该目标的研判结果，对具有威胁的目标及时发出预警。结果表明，所提算法的识别精度可达96.34%，能够为输电运检部门提供可靠的预警结果。
Abstract
The transmission line has long transmission distance and complex channel environment.Impacts caused by large construction machinery occur from time to time.The existing anti-collision monitoring scheme of transmission line mainly depends on manual implementation
which not only consumes a lot of human resources
but also is difficult to ensure the monitoring coverage.Therefore
an anti-collision on-line early warning method for construction machinery around the transmission line was proposed.This method innovatively used intelligent sensors and compressed sensing algorithm to realize the automatic on-line early warning of construction machinery threats in the transmission line channel.The pixel distribution characteristics
shape characteristics and distance characteristics of the target were collected by the camera module and microwave ranging module
and transmitted to the background.The background server used the established offline feature target database to realize the research and judgment results of the target through compressed sensing algorithm
and sent out early warning to the threatening target in time.The experimental results show that the recognition accuracy of the proposed algorithm can reach 96.34%
and can provide reliable early warning results for the transmission inspection department.
关键词
Keywords
references
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