基于人工智能的基站巡检应用实践

doi:10.11959/j.issn.1000-0801.2018297

Abstract

Abstract:

Since the traditional base station inspection of telecom operators is enforced manually now,it not only consumes manpower,but also has many problems,such as safety,unverifiable result,and incomplete information and so on.The application practice and challenge of artificial intelligence technology in base station routine inspection of operators was introduced,which included the general situation of intelligent patrol technology and industry development,the demand of traditional patrol to intelligent transformation,intelligent patrol solutions,effect evaluation and data analysis,etc.On this basis,the application scenarios and service modes of future AI automatic patrol for telecom operators were discussed,and the deployment scheme of intelligent patrol platform was proposed.

Key words: artificial intelligence, base station inspection, unmanned aerial vehicle

CLC Number:

TP181

Feng ZHOU,Bing WANG. Application practice of base station inspection based on AI[J]. Telecommunications Science, 2018, 34(12): 102-109.

Figures/Tables 10

References 10

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序号	名称	最低标准
1	车辆	1辆
2	笔记本电脑	1套
3	测试手机	2部
4	罗盘仪	1套
5	水平仪	1套
6	数字万用表	1只
7	钳形电流表	1只
8	红外线测温仪	1套
9	组合工具	1套
10	望远镜	1部
11	数码相机	1套
12	智能终端+蓝牙GPS（管理App）	1套
13	手持GPS	1只
14	爬梯	1部

序号	类别	说明
1	导地线相关缺陷	包括断股、散股、断线等
2	绝缘子缺陷	包括自爆等
3	线夹、均压环相关缺陷	包括损坏、滑移、倾斜等
4	防震锤相关缺陷	包括损坏、滑移、倾斜等
5	细小金具类缺陷	包括螺栓缺销子、螺栓缺螺母等
6	基础类缺陷	包括破损、坍塌、积水、下陷等
7	附属设施相关缺陷	包括各类附属设施损坏
8	异物缺陷	包括异物、鸟巢等

资产管理	建设规划	工程验收、监理	运维巡检
铁塔：资产编号、经纬度、高度、图像照片	三维地理建模	建设交付合规	铁塔：资产编号、高度、倾斜度、腐蚀度、图像照片
天线：数量、归属运营商、图像照片	数字测量	工程监理合规	天线：俯仰角变化、方位角变化、腐蚀度、图像照片
RRU及线缆：数量、长度、图像照片		安全合规	RRU及线缆：异常程度、图像照片
连接件：是否松动、生锈			连接件：是否松动、生锈
时间维度：巡检日期的对比			时间维度：巡检日期的对比

序号	大类	说明
1	接头缺陷	馈线/尾纤接头是否松动、腐蚀，包裹是否有裂缝
2	标签缺陷	天线、设备标签是否完好
3	走线缺陷	天线与GPS馈线、尾纤、电源线走线是否扎好，有无飞线
4	固定缺陷	天线、RRU、GPS天线等有无松动、坠落危险
5	防雷缺陷	塔上A点接地是否正常，设备是否在避雷针45°范围内
6	工参缺陷	方位角、下倾角是否正确
7	设备缺陷	射频天线、GPS天线、RRU等设备是否存在裂缝、破损，RRU障碍指示灯是否亮起
8	塔身/抱杆缺陷	产权铁塔、抱杆的安全巡检，塔身有无裂缝、是否倾斜
9	异物缺陷	包括异物、鸟巢等

	基站巡检	路灯巡检
应用场所	上海及周边区域	上海浦星公路路灯
技术领域	AI+无人机	AI+无人机
AI领域	深度学习、图像识别	深度学习、图像识别
应用数量	1 000个	10 km
准确率	95%	95%
应用效果	接头1%、标签9%、固定1%、工参100%、塔身0、鸟窝5%	27个点无光照

Application practice of base station inspection based on AI

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