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Hill wind power plant maintenance task intelligent scheduling method

A technology for intelligent scheduling and wind farms, which is applied in the direction of instruments, data processing applications, and information technology support systems, etc., can solve the problems of low resource utilization and low maintenance efficiency in maintenance and inspection tasks, so as to improve the comprehensive utilization of resources and reduce Equipment failure rate, the effect of enriching the theoretical basis

Pending Publication Date: 2021-03-09
HUANENG HUAJIALING WIND POWER CO LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The invention intends to solve the problems of low resource utilization rate and low maintenance efficiency of equipment maintenance tasks in hilly wind power plants, and provides an intelligent scheduling method for maintenance tasks in hilly wind power plants

Method used

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  • Hill wind power plant maintenance task intelligent scheduling method
  • Hill wind power plant maintenance task intelligent scheduling method
  • Hill wind power plant maintenance task intelligent scheduling method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0025] S1. Collect maintenance task information and status, set different information collection rules for different types of maintenance tasks, and extract task-related data information; figure 1 The task scheduling flow chart shown.

[0026] S2. Collect task resource information. Maintenance resources include maintenance personnel and vehicles, and information related to the above resources needs to be collected;

[0027] S3. Sorting the execution priority of the maintenance and inspection tasks, according to the comprehensive calculation of the urgency of the tasks, the importance of the maintenance and inspection equipment, and the latest completion time of the maintenance and inspection, and sorting the execution priorities of the maintenance and inspection tasks;

[0028] S4. The maintenance task resource allocation plan, the shortest time of the sum of the maintenance task waiting time and the maintenance task processing time is the optimal allocation plan of the mainte...

Embodiment 2

[0032] The difference technology with embodiment one is as follows:

[0033] S1.1: Maintenance tasks are divided into planned maintenance tasks and temporary maintenance tasks. The planned maintenance tasks are updated at 24 o'clock every day, and are included in the maintenance task pool for task sorting and allocation. The system collects relevant equipment information for temporary maintenance tasks, updates the temporary maintenance information every 2 hours, and counts it into the maintenance task pool for task sorting and allocation.

[0034] S1.2: Collect maintenance task information, including fault type, task urgency, equipment location information, equipment importance, task completion time, and task processing standard working hours.

[0035] S1.2.1: Fault type information includes fault cause and task fault handling standard. By clarifying the cause of the fault and the fault handling standard, it is possible to accurately estimate the fault handling time and ass...

Embodiment 3

[0043] The difference technology with embodiment two is:

[0044] S2.1: Set the maintenance personnel as Rn, (n is 1, 2, 3..., n≥1). Maintenance personnel information includes task processing capabilities and personnel location information.

[0045] S2.1.1 The task processing ability of maintenance personnel represents their proficiency in handling tasks. Different maintenance personnel have different proficiency in handling the same task, and the same maintenance personnel have inconsistent proficiency in processing different tasks. Let the task processing ability be D, and D is 0. The value between -1, the more proficient the task, the larger the value, the less familiar the task processing, the smaller the value, and 0 if you do not have the processing ability of a certain task. The length of time for the maintenance personnel to process tasks = the standard man-hours for processing a certain task / the processing capacity of a maintenance personnel for a certain task. By...

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Abstract

The invention relates to the technical field of power plant maintenance task scheduling, in particular to a hill wind power plant maintenance task intelligent scheduling method, which comprises the following steps of S1, collecting maintenance task information and states; S2, collecting task resource information; S3, sorting the execution priorities of the maintenance tasks, and sorting the execution priorities of the maintenance tasks according to comprehensive calculation of the emergency degree of the tasks, the importance degree of maintenance equipment and the latest maintenance completion time factor; S4, performing a maintenance task resource allocation scheme; and S5, processing the tasks according to the task execution sequence and the resource allocation scheme. According to thehill wind power plant task scheduling method based on various resource constraint conditions, priority maintenance and execution of important equipment and important maintenance plans of a wind powerplant can be ensured, and through distribution of various task resources, the utilization rate of maintenance resources can be increased, the maintenance period of the equipment can be shortened, andthe effective utilization rate of the equipment for wind power generation can be increased.

Description

technical field [0001] The invention relates to the technical field of power plant maintenance and inspection task scheduling, in particular to an intelligent scheduling method for hilly wind farm maintenance and inspection tasks. Background technique [0002] Compared with traditional thermal power plants, wind farms usually occupy a larger area, especially in hilly and mountainous areas where fan equipment is more scattered, resulting in a large amount of manpower, material resources and time cost for equipment maintenance and repair. This greatly increases the operating cost of the wind farm and reduces the benefit of the power plant. [0003] At present, the maintenance tasks of wind farms are basically scheduled and resource allocated manually based on previous maintenance experience. This method depends on the familiarity of task allocation with maintenance tasks and maintenance personnel, and has great instability. It is easy to cause unreasonable task allocation, lo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q10/00G06Q50/06
CPCG06Q10/06311G06Q10/06312G06Q10/06316G06Q10/20G06Q50/06Y04S10/50
Inventor 曹朔李恭斌权雪祺于海龙唐云胡杰董建明肖潇
Owner HUANENG HUAJIALING WIND POWER CO LTD
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