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Electrical design problems and improvement countermeasures of transmission lines under the background of big data and artificial intelligence

机译:大数据和人工智能背景下输电线路电气设计问题及改进对策

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摘要

This paper studies the feasibility of intelligent power design mode, and proves that the intelligent power design mode has significant advantages over the traditional mode by using the method of comparative study. Comparative studies are more distinctive in the breadth and depth of content. With the further acceleration of the urbanization process and the popularization of electronic equipment, people's demand for electricity is gradually increasing. The overall operation of the transmission line is actually highly related to the design mode of the line. The quality of electrical design will be closely related to people's electricity consumption. The stability of the electrical design is directly linked to the sustainability, and it will also be linked to the reputation of the power design company and the safety of public life. The use of a variety of new technologies in the electrical design process to guide the design scheme and identify design problems as soon as possible is the latest trend in the electrical design of current transmission lines. In the context of the rapid development of data science, the functions of comprehensive sorting and providing suggestions provided by big data technology have become the mainstream choice for solving problems in various industries. At present, big data technology has begun to be associated with the power industry, and big data technology has been applied to transmission lines. Electrical design can also solve various dilemmas that exist in current design. Artificial intelligence technology enables computers to have the ability to think like ordinary people through algorithms and training data. Applying artificial intelligence technology to electrical design of transmission lines can make scheme design more intelligent. In order to analyze the current status of electrical design of transmission lines, this paper conducts a questionnaire survey on professionals and practitioners of electrical design of transmission lines. Through a detailed analysis of the questionnaire data, it is found that the electrical design of current transmission lines mainly includes unreasonable line path arrangement, line support towers unreasonable models and insufficient consideration in safety protection design, and combined with big data and artificial intelligence technology, the intelligent arrangement of line paths, tower-shaped intelligent matching and intelligent safety protection strategies are designed. The respondents of the questionnaire conducted a second survey and found that the efficiency, cost, intelligence, sustainability and safety of the electrical design of transmission lines were improved after combining big data and artificial intelligence technology. The intelligent circuit design scheme constructed by big data and artificial intelligence technology can improve the quality of circuit transportation, solve the problems of unreasonable route layout, unreasonable line support tower type and insufficient consideration of safety protection design. Intelligent circuit design scheme compared to the traditional circuit design scheme in the design efficiency, cost, sustainability is significantly improved.
机译:本文研究了智能电源设计模式的可行性,并采用对比研究的方法证明了智能电源设计模式与传统模式相比具有显著优势。比较研究在内容的广度和深度上更具特色。随着城市化进程的进一步加快和电子设备的普及,人们对电力的需求逐渐增加。输电线路的整体运行实际上与线路的设计模式高度相关。电气设计的质量将与人们的用电量密切相关。电气设计的稳定性直接关系到可持续性,也将关系到电力设计公司的声誉和公众生活的安全。在电气设计过程中运用多种新技术,指导设计方案,尽快发现设计问题,是当前输电线路电气设计的最新趋势。在数据科学快速发展的背景下,大数据技术提供的综合整理和提供建议的功能已成为解决各行业问题的主流选择。目前,大数据技术已开始与电力行业相关联,大数据技术已应用于输电线路。电气设计还可以解决当前设计中存在的各种困境。人工智能技术使计算机能够通过算法和训练数据像普通人一样思考。将人工智能技术应用于输电线路的电气设计,可以使方案设计更加智能化。为了分析输电线路电气设计的现状,本文对输电线路电气设计的专业人员和从业人员进行了问卷调查。通过对问卷数据的详细分析发现,当前输电线路电气设计主要包括线路路径布置不合理、线路支护铁塔模型不合理、安全防护设计考虑不足等,并结合大数据和人工智能技术,设计了线路路径的智能布置、塔形智能匹配和智能安全防护策略。问卷调查的受访者进行了第二次调查,发现在结合大数据和人工智能技术后,输电线路电气设计的效率、成本、智能化、可持续性和安全性都有所提高。利用大数据和人工智能技术构建的智能电路设计方案,可以提高电路运输质量,解决线路布局不合理、线路支护塔型式不合理、安全防护设计考虑不足等问题。智能电路设计方案与传统电路设计方案相比,在设计效率、成本、可持续性方面都有显著提高。

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