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基于人工智能的基站巡检应用实践 被引量:8

Application practice of base station inspection based on AI
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摘要 运营商传统的通信基站巡检通过人工方式进行,不仅耗费人力,还存在安全性不高、结果不可验证、信息不全面等问题。主要介绍人工智能技术在运营商基站日常巡检领域的应用实践及面临的挑战,包括智能巡检技术及产业发展概况、运营商传统巡检向智能化转化的需求动力、智能巡检解决方案、效果评价与数据分析等。在此基础上,探讨了电信运营商未来开展AI自动巡检的应用场景与服务模式,提出了智能巡检平台的部署方案建议。 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 develop- ment,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.
作者 周峰 王兵 ZHOU Feng;WANG Bing(Shanghai Research Institute of China Telecom Co.,Ltd.,Shanghai 200122,China;Network Operation and Maintenance Department of China Telecom Corporation,Beijing 100032,China)
出处 《电信科学》 2018年第12期102-109,共8页 Telecommunications Science
关键词 人工智能 基站巡检 无人机 artificial intelligence base station inspection unmanned aerial vehicle
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