徐龙江, 王洋, 孙振海, 马晓路, 宋彦臻. 基于人员承载力画像的多任务智能排期系统[J]. 农村电气化, 2022, (1): 36-41. DOI: 10.13882/j.cnki.ncdqh.2022.01.011
引用本文: 徐龙江, 王洋, 孙振海, 马晓路, 宋彦臻. 基于人员承载力画像的多任务智能排期系统[J]. 农村电气化, 2022, (1): 36-41. DOI: 10.13882/j.cnki.ncdqh.2022.01.011
XU Longjiang, WANG Yang, SUN Zhenhai, MA Xiaolu, SONG Yanzhen. A Multi-task Intelligent period scheduling System Based on the Personnel Carrying Capacity Portrait[J]. Rural Electrification, 2022, (1): 36-41. DOI: 10.13882/j.cnki.ncdqh.2022.01.011
Citation: XU Longjiang, WANG Yang, SUN Zhenhai, MA Xiaolu, SONG Yanzhen. A Multi-task Intelligent period scheduling System Based on the Personnel Carrying Capacity Portrait[J]. Rural Electrification, 2022, (1): 36-41. DOI: 10.13882/j.cnki.ncdqh.2022.01.011

基于人员承载力画像的多任务智能排期系统

A Multi-task Intelligent period scheduling System Based on the Personnel Carrying Capacity Portrait

  • 摘要: 文章提出了一种基于人员承载力画像的多任务智能排期系统,通过构建“智能排期+辅助监测”的多维智慧检修管理体系,实现任务人员推荐、任务自动排期智能化管理,提高工作效率,解决传统检修工作思路窄、排期难、效率低的境况。

     

    Abstract: With the continuous development of the power grid architecture, More and more traditional substations have been replaced by smart substations, As the main force of the power grid production front line, Substation maintenance center undertakes major tasks such as daily maintenance, equipment maintenance, protection and transformation of the power grid, yet, At present, the traditional maintenance workflow still relies more on manual discrimination and manual assistance, With the increase of substations and the increase of operating equipment, Excessive reliance on human labor unions to increase personnel carrying capacity, And easy to cause confusion in work task scheduling, The old maintenance and management mode is no longer applicable, For this case, This paper presents a multi-task intelligent scheduling system based on personnel carrying capacity portrait, By constructing a multi-dimensional intelligent maintenance and management system of "intelligent scheduling + auxiliary monitoring", Realize the intelligent management of task personnel recommendation and automatic task scheduling, improve work efficiency, To solve the situation of narrow traditional maintenance work thinking, difficult scheduling, and low efficiency.

     

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