Optimization and application of artificial intelligence in robotic automated distribution network overhead line engineering
Keywords:Artificial intelligence, robotics, automated distribution network, overhead line engineering optimization and application
INTRODUCTION: Artificial intelligence is a product of high-end technological development since the 21st century, which has subverted people's traditional cognition in many aspects and greatly enriched and improved people's lives. Artificial intelligence has covered every aspect of life, and the distribution network overhead line project is also one of them. The combination of the two symbolizes the combination of modern technology and infrastructure construction, which is of great significance for modern economic and social development and transformation and upgrading.
OBJECTIVES: In order to solve the practical problems in the design of artificial intelligence and distribution network overhead line engineering, this paper focuses on the practical use of such artificial intelligence as robots in distribution network overhead line engineering.
METHODS: The models of spatial perception, target recognition and automatic calculation are established, and some key technical problems of robots put into actual engineering are simulated and calculated.
RESULTS: In the spatial perception model, the combination of robotic arm and laser device is utilized to solve the problem of direct sunlight, which affects the localization. In the target recognition model, combining the algorithms of minimum spanning tree and maximum critical path, the computational accuracy is improved to 1 mm. in the automatic computation model, the introduction of auxiliary lines and the secondary confirmation of manpower make the error of the work further reduced.
CONCLUSION: This paper's simulation algorithm for the reality of the distribution network overhead line project provides a more detailed solution to improve the technical content of the distribution network overhead line project and the quality of construction management is not a simple task, the need for the relevant distribution network overhead line project enterprises as well as the corresponding distribution network overhead line project personnel to take targeted measures.
Browning Jeren,Hansel Joshua,Wilsdon Katherine,Houck Kaleb,Pluth Adam. Microreactor Testbed Automation through Digital Engineering and Digital Twins. INCOSE International Symposium,2022,32(1).
Jiyuan Hu. Analysis of Problems and Countermeasures of Mechanical Engineering Automation Technology in China. Journal of Research in Science and Engineering,2022,4(8).
Bramsiepe C.,Stenger F.. Paradigm shift in plant engineering: Interaction of process technology and automation technology – Insights into the VDI recommendation for action. Chemie Ingenieur Technik,2022,94(9).
Bo Zhang,Mingqiu Zhang,Cui'e Gao,Xiaoming Fu,Yongcai Ma. Analysis of the Current Situation of School-enterprise Cooperation for Electrical Engineering and Automation Professionals. Adult and Higher Education,2022,4(5).
Aldarthi Rajesh Rangappa,Sinha Manoj Kumar,Francis A.T.,Mahapatra M.,Ayre L. B.,Berghammer D.,Byrd Sam,Glenn Courson,Elizabeth Roderick,Jean Marie Taylor,Francis A. T.,Goddard H. C.,Singh Joteen R. K.,King J. L.,Schrems E. L.,Kumar S.,Murugan K.,Ravi S.,Surianarayanan S.,Nystrom V.,Sjogren L.,Pahuja R. K.,Jhamb R. K.,Nair Raman R.,Singh R. K.,Sinha M. K.,Satpathy K. C.,Sung J. S.,Whisler J. A.,Sung N.,Thapa Neelam,Sahoo. Cost-benefit analysis of library automation project: A case study of rabindra library, Assam University Silchar. Library Progress (International),2022,42(1).
Adhya Dhritiman,Chatterjee Soumesh,Chakraborty Ajoy Kumar. Stacking ensemble based fault diagnosis approach for improved operation of photovoltaic arrays. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects,2022,44(2).
Vijayakumar K. Machine Learning and Automation in Concurrent Engineering. Concurrent Engineering,2022,30(2).
Chen Lisheng,Li Zhiyi,Chen Taili,Zhao Guoqiang,Shen Yi. A TIM-based Method of Automatic Generation of FE Models for Pit Engineering. Journal of Physics: Conference Series,2022,2287(1).
Burgos Gajardo Luis,Taneja Poonam,van Koningsveld Mark. Desktop Research into Historic Automation Projects of Brownfield Container Terminals. Journal of Marine Science and Engineering,2022,10(5).
Kulzhan Berikkhanova,German Seredin,Dastan Sarbassov,Gulsara Berikkhanova,Aidar Alimbayev. Project development of a precision installer for measuring inhomogeneous density of the solution in the process of automation of the technological software and hardware complex. Eastern-European Journal of Enterprise Technologies,2022,2(5).
Udomsom Suruk,Budwong Apiwat,Wongsa Chanyanut,Sangngam Pakorn,Baipaywad Phornsawat,Manaspon Chawan,Auephanwiriyakul Sansanee,TheeraUmpon Nipon,Paengnakorn Pathinan. Automatic Programmable Bioreactor with pH Monitoring System for Tissue Engineering Application. Bioengineering,2022,9(5).
Farooq Ali,Asif Raza,Muhammad Munwar Iqbal,Tahira Nazir. Ontological automation of software essence kernel to assess progress of software project. Mehran University Research Journal of Engineering and Technology,2022,41(2).
Anonymous. Angeles acquires industrial automation integrators R6BEX, Mid-State Engineering. Modern Materials Handling,2022,77(4).
Yuexia Lv,Jinpeng Bi,Mengli Li,Yancai Su. Research on the cultivation mode of engineering application-oriented innovative talents - Taking the major in Mechanical Design, Manufacturing amp; Automation as an example. Advances in Educational Technology and Psychology,2022,6(4).
Ma Rongkuan,Zheng Hao,Wang Jingyi,Wang Mufeng,Wei Qiang,Wang Qingxian. Automatic protocol reverse engineering for industrial control systems with dynamic taint analysis. Frontiers of Information Technology amp; Electronic Engineering,2022,23(3).
Sagimbayev Sagi,Kylyshbek Yestay,Batay Sagidolla,Zhao Yong,Fok Sai,Soo Lee Teh. 3D Multidisciplinary Automated Design Optimization Toolbox for Wind Turbine Blades. Processes,2021,9(4).
Sekirin A I,Savkova E O,Shumaieva O O,Chengar O V,Shevchenko V I. Optimization of the automated technological complex mechanoprocessing using the modified genetic algorithm. IOP Conference Series: Materials Science and Engineering,2021,1047(1).
Singh Sarvendra Pratap,Sharma Jyoti. Optimization of Clean-up Process Conditions by Comparative Analysis of Dispersive Solid Phase Extraction and Automated Micro Solid Phase Extraction Clean-up for GC-MS/MS Analysis of Pesticides in Tuber Crops. Analytical Chemistry Letters,2021,11(1).
Deininger Martina E.,von der Grün Maximilian,Piepereit Raul,Schneider Sven,Santhanavanich Thunyathep,Coors Volker,Voß Ursula. A Continuous, Semi-Automated Workflow: From 3D City Models with Geometric Optimization and CFD Simulations to Visualization of Wind in an Urban Environment. ISPRS International Journal of Geo-Information,2020,9(11).
Timus Mihai,CiucanRusu Liviu,Stefan Daniel,Popa MariaAlexandra. Student Relationship Management Optimization Using Organizational Process Automation Tools. Acta Marisiensis. Seria Oeconomica,2020,14(1).
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