駐馬店市華宇電力實業有限公司 王永松，張健楠，吳鵬

摘要：隨著電網建設的不斷發展和復雜施工環境的出現，傳統的牽張放線施工方法暴露出了諸如人工參與度高、施工效率低、安全隱患多等問題。因此，如何提高牽張放線施工的智能化水平，成為了電力行業急需解決的問題。本文針對這一需求，提出了一種基于優化算法的牽張場數字智能管控系統的設計與實現方案。該方案通過多體動力學分析、傳感器智能感知技術、無線數據傳輸技術及優化控制算法的結合，提升了施工安全性，提高了施工效率，減少了人員投入，降低了施工風險。實驗結果表明，該系統不僅能夠實時監控牽張場施工過程中的關鍵參數，還能根據現場情況進行預測與調控，確保了施工質量和安全，最終達到了減員增效的目標。

關鍵詞：優化算法；牽張場；數字智能；系統設計

Abstract: With the continuous development of power grid construction and the emergence of complex construction environments, the traditional tensioning and laying construction methods have exposed problems such as high manual participation, low construction efficiency, and numerous safety hazards. Therefore, how to improve the intelligence level of tensioning and laying construction has become an urgent problem for the power industry. This paper, in response to this demand, proposes a design and implementation scheme for a tensioning field digital intelligent control system based on optimization algorithms. Through the combination of multi-body dynamics analysis, sensor intelligent perception technology, wireless data transmission technology, and optimization control algorithms, the aim is to enhance construction safety, improve efficiency, reduce personnel investment, and lower construction risks. Experimental results show that this system can not only monitor key parameters in the tensioning field construction process in real time, but also make predictions and adjustments based on the on-site situation, ensuring construction quality and safety, and ultimately achieving the goal of reducing personnel and increasing efficiency.

Key words: Optimization algorithm; Tensioning field; Digital intelligence; System design

在線預覽：基于優化算法的牽張場數字智能管控系統設計與實現.pdf

摘自《自動化博覽》2026年第一期暨《2026具身智能專刊》