CN-122022396-A - Buy retail equipment optimal configuration method based on work ticket

CN122022396ACN 122022396 ACN122022396 ACN 122022396ACN-122022396-A

Abstract

The invention relates to the technical field of power equipment management and discloses a buy retail equipment optimizing configuration method based on a work ticket, which comprises the steps of obtaining a maintenance work ticket set of a target unit and extracting parameters such as equipment type, quantity, operation time and the like from the maintenance work ticket set; the method comprises the steps of screening out effective working tickets related to target equipment, converting the number of required parallel operation units, namely the number of single ticket working faces, according to the number of the equipment and the operation period of each effective working ticket, mapping the working face number of each ticket to a natural day according to the operation time of each ticket and summarizing the working face number day by day to obtain the total daily working face number, taking the maximum value of the total working face number of all days as the maximum working face value, and finally determining buy retail equipment configuration according to the maximum working face value. According to the invention, by analyzing the historical overhaul work ticket and converting the ticket parallel operation requirement and extracting the maximum concurrent work face value in the time dimension, an objective quantification standard is provided for buy retail equipment configuration, and the first-line operation guarantee capability is fundamentally improved.

Inventors

SUN AIMIN
WU YAO
CHU XUELI
HU MENGJIE
HONG JIANJUN
ZHENG XIAOJUN
ZHENG JIANFENG
YAO HUAN
CHEN GUANGYI
YE JIANFEI

Assignees

国网浙江省电力有限公司衢州供电公司

Dates

Publication Date: 20260512
Application Date: 20260410

Claims (9)

1. The buy retail equipment optimizing configuration method based on the work ticket is characterized by comprising the following steps: acquiring an overhaul work ticket set of a target unit, and extracting work ticket parameters from each overhaul work ticket, wherein the work ticket parameters comprise overhaul equipment types, overhaul equipment quantity and operation start-stop time; screening out an effective work ticket set related to target equipment from the overhaul work ticket set according to the overhaul equipment type; for each effective working ticket, determining the number of single-ticket working surfaces, wherein the number of single-ticket working surfaces is 1 if the number of overhaul equipment related to the effective working ticket is 1, the number of single-ticket working surfaces N is N=ceil ((k×M)/D) if the number of overhaul equipment related to the effective working ticket is greater than 1 and D is not greater than 1, the number of single-ticket working surfaces N is N=ceil (M/Q) if the number of overhaul equipment related to the effective working ticket is greater than 1 and D=1, k is a reference coefficient, M is the same overhaul equipment number related to the effective working ticket, 1 is not greater than N and not greater than M, D is a working period, ceil () is an upward rounding function, and Q is the number of overhaul equipment completed by one team of single buy retail equipment used by the same overhaul equipment in one day; according to the natural days covered by the operation start-stop time, the number of the ticket working faces of each effective ticket in the effective ticket set is summarized day by day, and the total number of the working faces corresponding to each natural day is obtained; And determining buy retail equipment configuration of the target unit according to the maximum value of the total working surface number of each natural day.
2. The method for optimizing configuration of a buy retail equipment based on working tickets according to claim 1, wherein according to the natural days covered by the start-stop time of the operation, the number of the single ticket working faces of each effective working ticket in the effective working ticket set is summarized day by day, and the total number of working faces corresponding to each natural day is obtained, including: for each natural day covered by the start-stop time of the job, giving weight based on the type of the work calendar; multiplying the number of the ticket working surfaces mapped to each natural day by the weight to obtain the number of the ticket working surfaces after calibration; and determining the total working surface number based on the calibrated number of the single ticket working surfaces.
3. The method for optimizing configuration of a ticket-based buy retail device according to claim 1 or 2, wherein determining the buy retail device configuration of the target unit from the maximum value of the total number of work surfaces on each natural day includes: buy retail equipment information for overhauling the target equipment is acquired, wherein the buy retail equipment information comprises buy retail equipment types and buy retail equipment types; Counting buy retail device inventory amounts of the target units for each of the buy retail device types; calculating, for each of the buy retail equipment types, a deviation number of the buy retail equipment type according to the buy retail equipment inventory number, a maximum value of a total working face number, and the buy retail equipment type; calculating the total deviation number of buy retail equipment of the target unit according to the deviation numbers of all buy retail equipment types; and determining buy retail equipment configuration of the target unit according to the buy retail equipment total deviation number.
4. The method for optimizing configuration of a buy retail equipment based on a work ticket according to claim 3, wherein the total deviation number of buy retail equipment of the target unit is calculated according to the following manner: ; P represents buy retail total deviation numbers of equipment of a target unit, i represents numbers of buy retail equipment types, the values are 1-n, n represents buy retail equipment types, S i represents inventory numbers of i-th buy retail equipment, and L represents a maximum working face value.
5. The method for optimizing configuration of a ticket-based buy retail equipment according to claim 3, wherein determining the buy retail equipment configuration of the target unit according to the maximum value of the total number of working surfaces on each natural day, further comprises calculating the buy retail equipment deviation rate of the target unit according to the buy retail equipment total deviation number and the maximum value of the total number of working surfaces on each natural day.
6. The method for optimizing configuration of a ticket-based buy retail equipment according to claim 4 or 5, wherein the buy retail equipment deviation rate of the target unit is calculated according to the following manner: η=P/L×100%; η represents buy retail equipment deviation rate, P represents buy retail total deviation number of target unit, and L represents maximum working face value.
7. The method for optimizing configuration of buy retail equipment based on working tickets according to claim 1, further comprising extracting a maintenance work body from each maintenance work ticket when extracting working ticket parameters from each maintenance work ticket, and further comprising associating the maintenance work body of the maintenance work ticket to a corresponding mapping body according to a attribution mapping relationship if the maintenance work body of the maintenance work ticket is an outsourcing body when screening the effective working ticket set.
8. The method of optimizing configuration of a buy retail device based on a job ticket of claim 7, wherein extracting job ticket parameters from each of the overhaul job tickets comprises identifying and structuring output of the device type, the number of devices, the start-stop time of the job, and the overhaul job body based on parsing text information of the overhaul job ticket by a natural language processor.
9. The ticket-based buy retail apparatus optimal configuration method of claim 1 or 8, wherein if a single sheet of said active ticket is parsed to include at least two overhaul job bodies, said number of ticket faces is determined for each of said overhaul job bodies.

Description

Buy retail equipment optimal configuration method based on work ticket Technical Field The invention relates to the technical field of power equipment management, in particular to a buy retail equipment optimal configuration method based on a work ticket. Background Power system service (e.g., main transformer service) relies on specialized tools or test equipment that are categorized as fixed asset sporadic acquisition items, i.e., buy retail equipment. The problem of buy retail equipment configuration is generally faced in the industry, on one hand, a first-line team often has to borrow to an upper level unit or a cooperation unit due to the shortage of core buy retail equipment, so that maintenance efficiency and autonomy of work arrangement are seriously affected, and even potential safety hazards are brought, and on the other hand, the purchasing of part buy retail equipment may exceed the actual requirement, so that the asset is idle. The root of this problem is that buy retail device configuration modes lack objective and quantitative demand benchmarks, configuration decisions depend on personal experience of managers, historical purchasing inertia or fuzzy budget, and information gaps exist between configuration results and actual and dynamically changing working demands on site. In order to solve the problem, the prior art performs various exploration, and one common thinking is to strengthen equipment standing book management and life cycle analysis, and attempt to grasp the stock condition by recording buy retail full-flow data of purchase, acceptance and rejection of equipment. Another idea is to conduct statistical analysis based on historical procurement data to predict future fund requirements or procurement categories. However, these schemes suffer from the fundamental disadvantage that, first, both ledger administration and purchase analysis are essentially passive records and post-statistics of existing resources or purchase activity that has occurred. Second, during peak service hours, teams may need to work at multiple job sites simultaneously, requiring the equipment to be available at the same time, and simple annual total usage statistics may not reflect such instantaneous peak pressures. Disclosure of Invention Therefore, the invention aims to overcome the defect that the configuration of buy retail equipment in the prior art depends on subjective experience and static account, and peak concurrent resource demands from actual overhaul tasks cannot be quantified, and provides an optimizing configuration method of buy retail equipment based on working tickets. In order to solve the technical problems, the invention provides a buy retail equipment optimizing configuration method based on a work ticket, which comprises the following steps: acquiring an overhaul work ticket set of a target unit, and extracting work ticket parameters from each overhaul work ticket, wherein the work ticket parameters comprise overhaul equipment types, overhaul equipment quantity and operation start-stop time; screening out an effective work ticket set related to target equipment from the overhaul work ticket set according to the overhaul equipment type; For each effective working ticket, determining the number of parallel operation units required for executing the effective working ticket as the number of single ticket working surfaces according to the number of the overhaul equipment related to the effective working ticket and the operation construction period determined based on the operation start-stop time; according to the natural days covered by the operation start-stop time, the number of the single ticket working faces of each effective working ticket in the effective working ticket set is summarized day by day, and the total working face number corresponding to each natural day is obtained; And determining buy retail equipment configuration of the target unit according to the maximum value of the total working surface number of each natural day. Preferably, the method for determining the number of the single-ticket working surfaces comprises the steps of setting the number of the single-ticket working surfaces to 1 if the number of the overhaul equipment related to the effective working ticket is 1, and determining the number of the single-ticket working surfaces according to the following mode if the number of the overhaul equipment related to the effective working ticket is larger than 1 and D is not equal to 1: N=ceil((k×M)/D); n is the number of the working surfaces of the ticket, N is more than or equal to 1 and less than or equal to M, k is a reference coefficient preset according to the type of the target equipment, the value of the reference coefficient is 2-3 days, M is the number of the same overhaul equipment related to the effective working ticket, D is the working period determined based on the working start-stop time, ceil () is an upward rounding function; If the number of maintenanc