Research on intelligent early warning technology for natural disasters of transmission lines based on 5G and artificial intelligence

机译：基于5G和人工智能的传输线自然灾害智能预警技术研究

获取原文

页面导航

摘要
著录项
相似文献
相关主题

摘要

In the application process of the existing intelligent disaster early warning technology, the problem of fuzzy current distribution characteristics leads to the short battery life of the tower terminal. This paper designs an intelligent early warning technology for natural disasters of transmission lines based on 5G and artificial intelligence. The catastrophe prediction results as auxiliary indexes in early warning, establishing database of transmission line of natural disasters, with the method of monitoring the fault current, setting axis path transmission lines, detection and separation of moving targets, using 5 g and artificial intelligence technology to extract the characteristics of current distribution, according to the values of worshiping information, building intelligent early warning model of transmission line natural disasters. Experimental results: The battery life of the pole and tower terminal of the intelligent early warning technology designed this time is 11.88h and 12.56h longer than the other two existing early warning technologies respectively, proving that the practical application effect of the intelligent early warning technology of transmission line integrating 5G and artificial intelligence is better.

机译：在现有智能灾难预警技术的应用过程中，模糊电流分布特性的问题导致塔式终端的短电池寿命。本文设计了一种基于5G和人工智能的传输线自然灾害智能预警技术。灾难预测结果作为预警中的辅助指标，建立自然灾害传输线数据库，采用5克和人工智能技术监控故障电流，设定轴路径传输线，检测和分离的方法提取电流分布的特点，根据崇拜信息的价值，建立传输线自然灾害的智能预警模型。实验结果：磁极和塔顶的电池寿命设计这一时间的智能预警技术分别比其他两种现有预警技术长11.88H和12.56H，证明了智能预警技术的实际应用效果传输线集成5G和人工智能更好。

著录项

来源
《IEEE International Conference on Artificial Intelligence and Industrial Design》|2021年|1-6|共6页
会议地点
作者
Quan Wen; Yanzhi Sun; Chen Cui; Jiang Lv; Liqiong Jiang;
展开▼
作者单位

展开▼
会议组织
原文格式 PDF
正文语种
中图分类
关键词
Power transmission lines; 5G mobile communication; Poles and towers; Predictive models; Current distribution; Batteries; Indexes;

机译：输电线路;5G移动通信;杆和塔;预测模型;电流分布;电池;索引;

相似文献

外文文献
中文文献
专利

1. Computer-Aided Diagnosis and Clinical Trials of Cardiovascular Diseases Based on Artificial Intelligence Technologies for Risk-Early Warning Model [J] . Li Bin, Ding Shuai, Song Guolei, Journal of medical systems . 2019,第7期

机译：基于人工智能技术风险预警模型的计算机辅助诊断和临床试验
2. Rapid identification of rainstorm disaster risks based on an artificial intelligence technology using the 2DPCA method [J] . Liu Yuan-yuan, Li Lei, Zhang Wen-hai, Atmospheric research . 2019,第OCTa期

机译：使用2DPCA方法基于人工智能技术快速识别暴雨灾害风险
3. Rapid identification of rainstorm disaster risks based on an artificial intelligence technology using the 2DPCA method [J] . Liu Yuan-yuan, Li Lei, Zhang Wen-hai, Atmospheric research . 2019,第Octa期

机译：基于使用2DPCA方法的人工智能技术快速识别暴雨灾害风险
4. Research on the Early-warning Model of Foaming Phenomenon in Desulfurization Solution System of Natural Gas Purification Plant Based on Artificial Intelligence Technology [C] . Dai Juan, Wu Yue, Jin Wei, International Conference on Artificial Intelligence and Big Data . 2019

机译：基于人工智能技术的天然气净化厂脱硫溶液系统中发泡现象的预警模型研究
5. Artificial Intelligence in the Assessment of Transmission and Distribution Systems under Natural Disasters Using Machine Learning and Deep Learning Techniques in a Knowledge Discovery Framework [D] . Arguelles, Rossana Villegas. 2019

机译：在知识发现框架中使用机器学习和深度学习技术评估自然灾害下传输与分配系统的人工智能
6. Can Building Artificially Intelligent Cities Safeguard Humanity from Natural Disasters Pandemics and Other Catastrophes? An Urban Scholar’s Perspective [O] . Tan Yigitcanlar, Luke Butler, Emily Windle, 2020

机译：建造人工智能城市能否保护人类免受自然灾害大流行和其他灾难的影响？城市学者的观点
7. Optimization of intelligent heating ventilation air conditioning system in urban building based on BIM and artificial intelligence technology [O] . Zhonghui Liu, Gongyi Jiang 2021

机译：基于BIM和人工智能技术的城市建筑智能加热通风空调系统优化

Research on intelligent early warning technology for natural disasters of transmission lines based on 5G and artificial intelligence

摘要

著录项

相似文献

相关主题

期刊订阅