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Power grid maintenance operation standard cost prediction method based on IPSO

A forecasting method and cost technology, applied in forecasting, instruments, biological models, etc., can solve problems such as consuming labor resources and inability to predict the cost of the entire operation

Pending Publication Date: 2022-05-13
STATE GRID FUJIAN POWER ELECTRIC CO ECONOMIC RES INST +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, the current standard cost can only be used as a guide in power grid maintenance operations, and cannot predict the cost of the entire operation. In the actual cost accounting, it is necessary to refer to the standard cost and actual application for each sub-category that occurs in the maintenance operation. Calculation requires a lot of labor resources; and the completion time of the maintenance work is also linked to the cost, which is difficult to predict manually

Method used

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  • Power grid maintenance operation standard cost prediction method based on IPSO
  • Power grid maintenance operation standard cost prediction method based on IPSO
  • Power grid maintenance operation standard cost prediction method based on IPSO

Examples

Experimental program
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Effect test

Embodiment 1

[0050] see figure 1 , an IPSO-based method for predicting the standard cost of power grid maintenance operations, including the following steps:

[0051]Collect data on historical maintenance operations and divide maintenance operations into different types and specifications;

[0052] A cost optimization model is established, based on the relationship between the standard manpower cost, material standard cost and equipment standard cost in different types of overhaul operations and the overhaul operation specifications, the evaluation function f of the manpower standard cost is calculated respectively a , material standard cost evaluation function f b and the equipment standard cost evaluation function f c ;Build the cost optimization model as: minf 1 = f a +f b +f c ;

[0053] Establish a timeliness evaluation function, cluster the completion time of historical maintenance operations according to the type and specification of maintenance operations, obtain the complet...

Embodiment 2

[0084] This embodiment provides an electronic device, including a memory, a processor, and a computer program stored on the memory and operable on the processor. It is characterized in that, when the processor executes the program, any implementation of the present invention The IPSO-based standard cost prediction method for power grid maintenance work described in the example.

Embodiment 3

[0086] This embodiment provides a computer-readable storage medium on which a computer program is stored, which is characterized in that, when the program is executed by a processor, the IPSO-based power grid maintenance operation standard cost prediction as described in any embodiment of the present invention is realized method

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Abstract

The invention relates to a power grid maintenance operation standard cost prediction method based on IPSO, and the method comprises the following steps: collecting the data of historical maintenance operation, and dividing the maintenance operation into different types and specifications; respectively calculating a human standard cost evaluation function fa, a material standard cost evaluation function fb and an equipment standard cost evaluation function fc, and establishing a cost optimization model f1; obtaining completion time boundary values of maintenance operations of various types and specifications through clustering, establishing a completion time evaluation index TI, calculating a sample value, solving a distribution probability P of the time evaluation index TI, and establishing a time efficiency evaluation function: inputting the type and specification of a target maintenance operation, and taking a cost optimization model f1 and the time efficiency evaluation function as target functions f2, and solving a globally optimal solution by adopting an IPSO improved particle swarm algorithm to obtain the standard cost of the target maintenance operation.

Description

technical field [0001] The invention relates to an IPSO-based method for predicting the standard cost of power grid maintenance operations, and belongs to the technical field of cost prediction for power grid maintenance operations. Background technique [0002] The standard cost of power grid operation is formulated according to the laws, regulations, and regulations of power grid business activities, and fully considers objective differences. The ability to create value provides strong support. [0003] However, at present, the standard cost can only be used as a guide in the power grid maintenance operation, and cannot predict the cost of the entire operation. In the actual cost accounting, it is necessary to refer to the standard cost and the actual application of each sub-category that occurs in the maintenance operation. Calculation requires a lot of human resources; and the completion time of the maintenance work is also linked to the cost, which is difficult to pred...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/00G06Q50/06G06K9/62G06N3/00
CPCG06Q10/04G06Q10/20G06Q50/06G06N3/006G06F18/23
Inventor 黄莉肖方顺王莹郑李键江薇林少红柯晔朱雪梅喻婧邹美华
Owner STATE GRID FUJIAN POWER ELECTRIC CO ECONOMIC RES INST
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