CN117744985A

CN117744985A - Bypass job data processing method, device, computer equipment and storage medium

Info

Publication number: CN117744985A
Application number: CN202311721927.XA
Authority: CN
Inventors: 何亮; 黄湛华; 毛骏; 李喆; 刘国伟; 张伟
Original assignee: Shenzhen Power Supply Co ltd
Current assignee: Shenzhen Power Supply Co ltd
Priority date: 2023-12-14
Filing date: 2023-12-14
Publication date: 2024-03-22

Abstract

The present application relates to a bypass job data processing method, apparatus, computer device, storage medium, and computer program product. The method comprises the following steps: acquiring bypass operation data of a reference year; determining the total number of required bypass operations in the target year according to the bypass operation data in the reference year; determining the sub-resource value of the bypass operation of each engineering category based on the total number of required bypass operations of the target year and the standard resource value of the bypass operation of each engineering category; determining the total resource value of the engineering class bypass operation based on the sub-resource value of each engineering class bypass operation; judging whether the total resource value of the engineering class bypass operation is larger than a preset resource value or not; and when the total resource value of the engineering class bypass job is larger than the preset resource value, determining a target work class bypass job from the engineering class bypass jobs in the target year based on the preset resource value and the sub-resource value of the engineering class bypass job. By adopting the method, the effective utilization of resources in bypass operation can be improved.

Description

Bypass job data processing method, device, computer equipment and storage medium

Technical Field

The present application relates to the field of power grid operation, and in particular, to a bypass operation data processing method, apparatus, computer device, storage medium, and computer program product.

Background

With the development of the power distribution network cable bypass operation technology, the bypass operation is the most direct and effective measure for improving the power supply reliability of the cable network, so that the power failure time of a user is reduced, the labor efficiency is greatly improved, the service efficiency and the service quality are improved, the progress of a maintenance mode is promoted, and the safety of the power network is better ensured.

The traditional method is mainly focused on the aspects of bypass operation technology or on-site bypass operation networking strategies, and basically does not consider the problem of resource limitation of bypass operation. The problem of insufficient resource utilization exists in the current power distribution network cable bypass operation.

Disclosure of Invention

In view of the foregoing, it is desirable to provide a bypass job data processing method, apparatus, computer device, computer readable storage medium, and computer program product that can improve resource utilization.

In a first aspect, the present application provides a bypass job data processing method, including:

Acquiring bypass operation data of a reference year and standard resource values of bypass operation of each engineering class;

determining the total number of required bypass operations in the target year according to the bypass operation data in the reference year;

determining sub-resource values of the bypass operations of each engineering class based on the total number of required bypass operations of the target year and the standard resource values of the bypass operations of each engineering class;

determining the total resource value of the engineering class bypass operation based on the sub-resource value of each engineering class bypass operation;

judging whether the total resource value of the engineering class bypass operation is larger than a preset resource value or not;

and when the total resource value of the engineering class bypass job is larger than a preset resource value, determining a target work class bypass job from the engineering class bypass jobs in a target year based on the preset resource value and the sub-resource value of each engineering class bypass job.

In one embodiment, the determining the total number of required bypass operations for the target year according to the bypass operation data of the reference year includes:

determining the bypass operation probability of each engineering category according to the bypass operation times of each engineering category in the reference year and the total bypass operation times in the reference year;

According to the number of time-saving households of the bypass operation in the reference year and the number of engineering categories, determining the average time-saving households of the bypass operation in the engineering categories in the reference year;

according to the average time-saving number of users of the bypass operation of each engineering class in the reference year and the bypass operation probability corresponding to each engineering class, determining the standard time-saving number of users of the bypass operation of each engineering class;

and determining the total number of required bypass operations in the target year based on the time-saving household number of the bypass operation standard of each engineering class and the average power-off time of the user, wherein the average power-off time of the user indicates the average power-off time of the user under the condition of not considering the bypass operation.

In one embodiment, the determining the total number of required bypass operations for the target year based on the time saving number of users and the average power outage time of the users according to the bypass operation standard of each engineering category includes:

determining a user average power failure time difference value based on a target annual user average power failure time and the user average power failure time;

and determining the total number of required bypass operations in the target year based on the average power failure time difference value of the users, the time-saving user number of the bypass operation standards of the engineering categories and the number of users.

In one embodiment, the method further comprises:

determining an average user planned power outage time according to the number of the planned power outage time in the reference year operation event, the number of the saved time of the planned power outage event in the bypass operation and the annual power outage planned number of the target year, wherein the average user planned power outage time indicates the average user planned power outage time without considering the bypass operation condition;

obtaining the duty ratio of the number of the households when the power failure is planned according to the number of the households when the power failure is planned in the reference year and the total number of the households when the power failure is planned;

and determining the average power failure time of the user based on the average power failure time of the user and the duty ratio of the number of users when the power failure is planned.

In one embodiment, the determining the average planned outage time of the user according to the number of the users scheduled to have a outage in the reference annual operation event, the number of the users saved in the planned outage event in the bypass operation, and the planned annual outage number of the target year includes:

determining the annual planned outage time household number in the reference year based on the planned outage time household number in the reference year operation event and the planned outage event-saving time household number in the bypass operation;

determining an adjustment coefficient based on the number of households when the annual scheduled power outage of the reference year and the annual power outage schedule of the target year;

Determining a predicted value of the number of units when the power is cut in the target year according to the adjustment coefficient and the number of units when the power is cut in the annual plan of the reference year;

and determining the average planned outage time of the user based on the predicted value of the number of users and the total number of users when the power outage is planned in the target year.

In one embodiment, the method further comprises:

acquiring resource values of bypass operations of each engineering category and bypass operation times of each engineering category in a reference year;

and determining the standard resource value of each engineering class bypass operation according to the resource value of each engineering class bypass operation and the times of each engineering class bypass operation in the reference year.

In a second aspect, the present application further provides a bypass job data processing apparatus, including:

the first acquisition module is used for acquiring bypass operation data of a reference year and standard resource values of bypass operation of each engineering class;

the bypass operation total number determining module is used for determining the required bypass operation total number of the target year according to the bypass operation data of the reference year;

the sub-resource value determining module is used for determining the sub-resource value of each engineering class bypass operation based on the total number of the required bypass operation in the target year and the standard resource value of each engineering class bypass operation;

The total resource value determining module is used for determining the total resource value of the engineering class bypass operation based on the sub-resource values of the engineering class bypass operation;

the judging module is used for judging whether the total resource value of the engineering class bypass operation is larger than a preset resource value or not;

and the target bypass job determining module is used for determining target work class bypass jobs from the engineering class bypass jobs in a target year based on the preset resource value and the sub-resource value of the engineering class bypass jobs when the total resource value of the engineering class bypass jobs is larger than the preset resource value.

In a third aspect, the present application also provides a computer device comprising a memory storing a computer program and a processor implementing the steps of the above method when the processor executes the computer program.

In a fourth aspect, the present application also provides a computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of the above-described method.

In a fifth aspect, the present application also provides a computer program product comprising a computer program which, when executed by a processor, implements the steps of the method described above.

The bypass operation data processing method, the bypass operation data processing device, the computer equipment, the storage medium and the computer program product can obtain the sub-resource value of the bypass operation of each engineering class and the total resource value of the bypass operation of the engineering class in the target year through the bypass operation data of the reference year and the standard resource value of the bypass operation of each engineering class; and comparing the total resource value of the engineering class bypass job with a preset resource value, and determining a target work class bypass job from each engineering class bypass job of a target year according to the preset resource value and the sub-resource value of each engineering class bypass job when the total resource value of the engineering class bypass job is larger than the preset resource value, so that the bypass job is more in accordance with the configuration of actual resources under the condition of limited resource values, and the effective utilization of resources in the bypass job is improved.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the related art, the drawings that are required to be used in the embodiments or the related technical descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to the drawings without inventive effort for a person having ordinary skill in the art.

FIG. 1 is an application environment diagram of a bypass job data processing method in one embodiment;

FIG. 2 is a flow diagram of a bypass job data processing method in one embodiment;

FIG. 3 is a flow diagram of determining a total number of required bypass jobs for a target year based on bypass job data for a reference year in one embodiment;

FIG. 4 is a schematic flow chart of determining the total number of required bypass operations for a target year based on the number of time-saving users and the average power-off time of users for the bypass operation standard of each engineering class in one embodiment;

FIG. 5 is a flow chart of a bypass job data processing method according to another embodiment;

FIG. 6 is a flow diagram of determining an average planned outage time for a user, according to one embodiment;

FIG. 7 is a flow chart of a bypass job data processing method according to another embodiment;

FIG. 8 is a block diagram of a bypass job data processing apparatus in one embodiment;

fig. 9 is an internal structural diagram of a computer device in one embodiment.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.

The bypass job data processing method provided by the embodiment of the application can be applied to an application environment shown in fig. 1. Wherein the terminal 102 communicates with the server 104 via a network. The data storage system may store data that the server 104 needs to process. The data storage system may be integrated on the server 104 or may be located on a cloud or other network server. The server acquires bypass operation data of a reference year and standard resource values of bypass operation of each engineering class; determining the total number of required bypass operations in the target year according to the bypass operation data in the reference year; determining the sub-resource value of the bypass operation of each engineering category based on the total number of required bypass operations of the target year and the standard resource value of the bypass operation of each engineering category; determining the total resource value of the engineering class bypass operation based on the sub-resource value of each engineering class bypass operation; judging whether the total resource value of the engineering class bypass operation is larger than a preset resource value or not; and when the total resource value of the engineering class bypass job is larger than the preset resource value, determining a target work class bypass job from the engineering class bypass jobs in the target year based on the preset resource value and the sub-resource value of the engineering class bypass job. The terminal 102 may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, internet of things devices, and portable wearable devices, where the internet of things devices may be smart speakers, smart televisions, smart air conditioners, smart vehicle devices, and the like. The portable wearable device may be a smart watch, smart bracelet, headset, or the like. The server 104 may be implemented as a stand-alone server or as a server cluster of multiple servers.

In an exemplary embodiment, as shown in fig. 2, a bypass job data processing method is provided, and an example of application of the method to the server in fig. 1 is described, including the following steps S202 to S206. Wherein:

step S202, obtaining bypass operation data of a reference year and standard resource values of bypass operation of each engineering class.

The reference year is the past reference year, and the reference year is the reference year, and the reference year can be any historical year or historical average of years, in which quantized data can be obtained, and any year can be selected as the reference year.

The bypass operation data refers to historical data generated by performing bypass operation, and may include, but is not limited to, the number of bypass operations, the total number of bypass operations, the number of time-saving users of bypass operations, etc. of each engineering class. Statistical analysis is performed on historical data generated in the bypass operation to generate bypass operation data. Each engineering category may include capital construction engineering, rush repairs, municipal improvement, defect elimination, repair engineering, industrial expansion engineering, and others.

The standard resource value is an average value of resources consumed by the bypass work of each engineering class in the reference year, and is different for each engineering class in the reference year.

Optionally, the server obtains the bypass operation times of each engineering category in the reference year, the total times of all engineering bypass operations, the time saving number of users of the bypass operation, and the like. The server obtains the standard resource value of the bypass operation of each engineering category, for example, obtains the standard resource value of the bypass operation of the foundation engineering.

Step S204, determining the total number of required bypass operations in the target year according to the bypass operation data in the reference year.

The target year, also called the planning year, refers to the future year. Any year in the future may be selected as the target year.

Optionally, the server performs statistical analysis and calculation on the obtained bypass operation data of the reference year according to the bypass operation data of the reference year, for example, the bypass operation times of each engineering category, the total times of all engineering bypass operations, the time-saving user number of the bypass operation, and the like, so as to determine the required total times of the bypass operation of the target year.

Step S206, determining the sub-resource value of the bypass operation of each engineering category based on the total number of required bypass operations of the target year and the standard resource value of the bypass operation of each engineering category.

Optionally, the server determines sub-resource values for each engineering class bypass job based on the total number of required bypass jobs for the target year and the standard resource values for each engineering class bypass job. For example, the total number of required bypass operations in a target year is X, and the standard resource value of the bypass operations of the construction project is Y ₁ The server determines a bypass job sub-resource value Z of the infrastructure engineering ₁ The method comprises the steps of carrying out a first treatment on the surface of the The standard resource value of the bypass operation of the rush repair is Y ₂ The server determines the bypass operation sub-resource value Z of the rush repair ₂ 。

Step S208, determining the total resource value of the engineering class bypass operation based on the sub-resource values of the engineering class bypass operation.

Optionally, the server sums the sub-resource values of the engineering class bypass jobs to determine a total resource value for the engineering class bypass jobs.

Step S210, judging whether the total resource value of the engineering class bypass operation is larger than a preset resource value.

Optionally, the server compares the total resource value of the engineering class bypass job with a preset resource value, and judges whether the total resource value of the engineering class bypass job is greater than the magnitude relation of the preset resource value. If the total resource value of the engineering class bypass operation is larger than the preset resource value, the preset resource value is considered to be incapable of meeting the total resource value consumed by all engineering class bypass operations; if the total resource value of the engineering class bypass operation is smaller than or equal to the preset resource value, the preset resource value is considered to be capable of meeting the total resource value consumed by all engineering class bypass operations.

Step S212, when the total resource value of the engineering class bypass job is larger than the preset resource value, determining a target work class bypass job from the engineering class bypass jobs in the target year based on the preset resource value and the sub-resource values of the engineering class bypass jobs.

Optionally, when the total resource value of the engineering class bypass job is greater than the preset resource value, that is, when the preset resource value cannot meet the total resource value consumed by all engineering class bypass jobs, the server determines the target work class bypass job from all engineering class bypass jobs in the target year based on the preset resource value and the sub-resource value of each engineering class bypass job, and selects the target work class bypass job which can be executed in the target year, so that the bypass job better meets the existing resource configuration, and when the existing resource configuration cannot meet all class bypass jobs, the resource configuration is more reasonable.

Optionally, the server arranges the sub-resource values of the bypass operation of each engineering class from large to small; can be arranged from small to large; and selecting the target number with the largest numerical value or the target number with the smallest numerical value of the sub-resources of the bypass operation of each engineering class.

Further, the server selects the first N bypass jobs with the largest sub-resource values from the bypass jobs of each engineering class in the target year as target work class bypass jobs according to the first N bypass jobs with the largest preset resource values and the largest sub-resource values of the bypass jobs of each engineering class.

In the embodiment of the present application, the specific year, the engineering category, the number of engineering categories, and the like of the reference year and the target year are not limited.

According to the bypass operation data processing method, the sub-resource value of the bypass operation of each engineering class and the total resource value of the bypass operation of each engineering class in the target year can be obtained through the bypass operation data of the reference year and the standard resource value of the bypass operation of each engineering class; and comparing the total resource value of the engineering class bypass job with a preset resource value, and determining a target work class bypass job from each engineering class bypass job of a target year according to the preset resource value and the sub-resource value of each engineering class bypass job when the total resource value of the engineering class bypass job is larger than the preset resource value, so that the bypass job is more in accordance with the configuration of actual resources under the condition of limited resource values, and the effective utilization of resources in the bypass job is improved.

In one exemplary embodiment, as shown in FIG. 3, the total number of required bypass jobs for the target year is determined based on bypass job data for the reference year, including steps S302 through S306. Wherein:

step S302, determining the bypass operation probability of each engineering category according to the bypass operation times of each engineering category in the reference year and the total bypass operation times in the reference year.

Optionally, the server obtains the total number of times of the reference year bypass operation; the server counts the bypass operation times of each engineering class (capital construction engineering, other engineering, rush repair, municipal improvement, defect elimination, repair engineering, industrial expansion engineering and the like) in the reference year; the server divides the bypass operation times of a certain engineering class in the reference year by the total bypass operation times in the reference year to obtain the bypass operation probability of the certain engineering class.

Further, the server classifies each engineering category of the reference year into 7 types, namely, a foundation engineering, other engineering, rush repair, municipal improvement, defect elimination, repair engineering and industry expansion engineering, and counts the bypass operation times of each engineering category of the reference year, and records asThe operation times of Tj class engineering; the total number of bypass operations in the reference year is recorded as. The bypass operation probability of each engineering class is calculated by adopting a formula (1):

(1)

Wherein,bypass operation probability representing Tj class engineeringThe rate of the product is determined by the ratio,，the method is used for representing the construction engineering class,representing the other classes of the device,the first-aid repair class is indicated,representing a municipal improvement migration class,the defect eliminating class is indicated as follows,indicating the type of repair work that is to be performed,representing the industrial expansion engineering class;the operation times of Tj type engineering are as follows: secondary times;the unit is the total number of bypass operations: and twice.

And step S304, determining the average time-saving household number of the bypass operation of each engineering class in the reference year according to the time-saving household number of the bypass operation of the reference year and the number of each engineering class.

Optionally, the server calculates the average value of the time-saving user number of each class according to different engineering categories for the reference year bypass operation event; the number of time-saving subscribers of the bypass operation in the reference year is divided by the number of engineering categories, for example, 7 engineering categories in the above embodiment, so as to obtain the average number of time-saving subscribers of the bypass operation in each engineering category in the reference year.

Step S306, determining the standard time-saving user number of the bypass operation of each engineering category according to the average time-saving user number of the bypass operation of each engineering category in the reference year and the bypass operation probability of each corresponding engineering category.

Optionally, the server performs weighted summation on the average value of the time saving user number of each engineering class in the reference year and the bypass operation probability of the corresponding engineering class to obtain the time saving user number of the single bypass operation standard, namely the time saving user number of the bypass operation standard of each engineering class.

According to the time-saving household number of each bypass operation in the bypass operation event of the reference year, calculating the standard time-saving household number of each engineering class bypass operation by using a formula (2):

(2)

wherein,the time and the number of the users are saved for a single bypass operation standard, and the unit is as follows: the number of time units;the operation times of Tj type engineering in the bypass operation event of the reference year are as follows: secondary times;the unit is the number of users avoiding power failure in the ith Tj class engineering in the basic year bypass operation event: a user;the unit is the operation duration of the ith Tj class engineering in the basic year bypass operation event: hours;representing the bypass job probability of a Tj class of engineering,。

step S308, determining the total number of required bypass operations in a target year based on the number of time-saving users and the average power-off time of the users of the bypass operation standard of each engineering class, wherein the average power-off time of the users indicates the average power-off time of the users under the condition of not considering the bypass operation.

Wherein the user average power outage time indication does not consider the user average power outage time under the condition of bypass operation

Optionally, the server determines the total number of required bypass operations in a target year according to the time-saving number of users and the average power-off time of users of the bypass operation standard of each engineering class.

In this embodiment, the average time and the number of users are saved by the bypass operation probability of each engineering class and the bypass operation of each engineering class in the reference year, so that the time and the number of users saved by the bypass operation standard of each engineering class are obtained, and then the total number of required bypass operations in the target year is determined based on the time and the average power failure time of the users saved by the bypass operation standard of each engineering class, so that the accuracy of the total number of required bypass operations in the target year can be improved.

In the above embodiment, as shown in fig. 4, the total number of required bypass operations in a target year is determined based on the number of time-saving users and the average power-off time of the users in each engineering class bypass operation standard, and the steps S402 to S404 are included. Wherein:

step S402, determining a user average power failure time difference value based on the target annual user average power failure time and the user average power failure time.

Optionally, the server obtains a reliability goal of the goal year, that is, a goal year user average outage time. The server subtracts the average power failure time of the user in the target year from the average power failure time of the user) Thereby obtaining the average power failure time difference value of the users, whereinAverage planned outage time for users without consideration of bypass operation; Average outage time for the target annual users.

Step S404, determining the total number of required bypass operations in a target year based on the average power failure time difference value of the users, the standard time-saving user number of bypass operations in each engineering class and the number of users.

Optionally, the server calculates the total number of bypass operations required for planning a year according to the average outage time of the user in the target year by adopting a formula (3):

(3)

wherein,to plan the total number of bypass operations needed for a year, units: secondary times;to plan annual blackout time, units: h/household;the time and the number of the users are saved for the single bypass operation standard; units: the number of time units;the number of units is: a user.

In the embodiment, the total number of times of the bypass operation required by the target year can be determined through the average power-off time of the user in the target year, the average power-off time of the user, the standard time-saving user number and the user number of the bypass operation of each engineering class, and the accuracy of the total number of times of the bypass operation required by the target year is improved.

In an exemplary embodiment, as shown in fig. 5, the bypass job data processing method further includes steps S502 to S506. Wherein:

and step S502, determining the average planned power outage time of the user according to the number of the users when the power outage is planned in the reference year operation event, the number of the users saved by the planned power outage event in the bypass operation event and the annual power outage planned number of the target year, wherein the average planned power outage time of the user indicates the average planned power outage time of the user under the condition of not considering the bypass operation.

Wherein the user average planned outage time indication does not take into account the user average planned outage time in the case of bypass operation.

Optionally, the server determines the average planned outage time of the user according to the number of times of planned outage in the reference year operation event, the number of times of saved planned outage event in the bypass operation, and the planned annual outage number of the target year.

Further, the server determines the number of the planned outage time units in the reference year operation event and the number of the planned outage time units saved by the planned outage event in the bypass operation; the server determines an adjustment coefficient based on the number of households when the annual schedule of the reference year fails and the annual power failure schedule of the target year; the service determines the predicted value of the number of the units when the power failure is planned in the target year according to the adjustment coefficient and the number of the units when the power failure is planned in the year of the reference year; the server determines an average planned outage time of the user based on the predicted value of the number of users and the total number of users when the power outage is planned in the target year.

And step S504, obtaining the duty ratio of the planned power failure time according to the planned power failure time of the reference year and the total power failure time.

Optionally, the server calculates the duty ratio of the number of users when the user plans to power off according to the number of users when the reference year plans to power off and the total number of users when the power off:

(4)

Wherein,the user plans the duty ratio of the number of the households when the power is cut;the unit is a predicted value of the number of households when power failure is planned for planning years: a user;the number of units is: a user.

Step S506, determining the average power failure time of the user based on the average power failure time of the user and the duty ratio of the number of users when the power failure is planned.

Optionally, the server determines the average outage time for the user without taking into account the bypass operation using equation (5) based on the average planned outage time for the user without taking into account the bypass operation and the duty cycle of the number of users when the power outage is planned.

(5)

Wherein,for user average outage time without consideration of bypass operation, units: h/household;

the power outage time unit is planned averagely for the user without considering bypass operation: h/household;the user plans the duty ratio of the number of users when the power is cut.

In this embodiment, the user average power-off time is determined by the user average power-off time and the duty ratio of the number of users at the time of the planned power-off, so that the readiness of the user average power-off time can be improved.

In the above embodiment, as shown in fig. 6, the average planned outage time of the user is determined according to the number of times of planned outage in the reference year operation event, the number of times of saved planned outage event in the bypass operation, and the planned annual outage number of target years, and steps S602 to S608 are included. Wherein:

Step S602, determining the annual planned outage time household number in the reference year based on the planned outage time household number in the reference year operation event and the planned outage event-saving time household number in the bypass operation.

Optionally, the server accumulates the number of outage time units for each planned outage event from the 1 st planned outage event in the reference year operation event using equation (6):

(6)

wherein,the unit is the number of power outage time units for planning a power outage event in an operation event: a user;for the number of events of the planned outage event in the operation event, unit: a piece;for the number of users affected by the ith scheduled outage event, units: a user;power outage duration for the ith planned power outage event, units: hours.

Optionally, in the server reference year bypass operation event, starting from the 1 st planned outage event, accumulating the time-saving number of users of each planned outage event by using a formula (7):

(7)

wherein,the time and the number of the users saved for planning the power failure event in the bypass operation event are as follows: a user;the unit of event number of planned outage event in the bypass operation event is: a piece;for the number of users affected by the ith scheduled outage event, units: a user;planning a power outage event for the ithPower failure duration of (a), units: hours.

Optionally, the server adds the number of times of planned blackout in the reference year operation event and the number of times of planned blackout event saving in the bypass operation to determine the number of times of planned blackout in the reference year. Calculating the number of units in the annual schedule of the reference year when the power is off by adopting a formula (8)

(8)

Wherein,the number of units when power failure is planned for the years of the reference year: a user.

Step S604, determining an adjustment coefficient based on the number of households in the annual power outage schedule of the reference year and the annual power outage schedule of the target year.

Optionally, the server calculates an adjustment coefficient of the number of households when the power outage of the planning year is performed according to the number of annual power outage planning events of the target year and the number of annual power outage planning events of the reference year by using a formula (9):

(9)

wherein,the adjustment coefficient of the number of households in power outage of planning year;the number of planned events, units, for planning annual blackouts: a piece;the number of planned events, units, for planning annual blackouts: and (3) a piece.

Step S606, determining the predicted value of the number of the units when the power failure is planned in the target year according to the adjustment coefficient and the number of the units when the power failure is planned in the year of the reference year.

Optionally, the server multiplies the adjustment coefficient and the number of users in the annual planned outage of the reference year by using a formula (10) to determine a predicted value of the number of users in the annual planned outage of the target year.

(10)

Wherein,the unit is a predicted value of the number of households when power failure is planned for planning years: a user;the number of units when power failure is planned for the years of the reference year: a user;the system is an adjustment coefficient for planning the number of households in annual power outage.

Step S608, determining an average planned outage time of the user based on the predicted value of the number of users and the total number of users at the planned outage time of the target year.

Optionally, the server determines the average planned outage time of the user according to the predicted value of the number of households and the total number of users in the planned outage of the target year by adopting a formula (11), wherein the average planned outage time of the user is the average planned outage time of the user under the condition of not considering bypass operation.

(11)

Wherein,p is the average planned outage time of the user without considering bypass operation, unit: h/household;the number of units is: householdTo plan for power failurePredicted value of the number of households, unit: a user.

In the embodiment, the average planned outage time of the user is determined through the number of the units when the annual planned outage of the reference year occurs, the adjustment coefficient and the predicted value of the number of the units when the annual planned outage occurs, so that the accuracy of the average planned outage time of the user under the condition of not considering bypass operation can be improved.

In an exemplary embodiment, as shown in fig. 7, the bypass job data processing method further includes steps S702 to S704. Wherein:

Step S702, obtaining the resource value of each engineering class bypass operation and the number of times of each engineering class bypass operation in the reference year.

Optionally, the server obtains the resource value of each engineering class bypass operation in the reference year and the corresponding number of times of each engineering class bypass operation.

Step S704, determining the standard resource value of each engineering class bypass operation according to the resource value of each engineering class bypass operation and the times of each engineering class bypass operation in the reference year.

Optionally, the server calculates the bypass job standard resource value for each engineering class using equation (12):

(12)

wherein,standard resource values for single bypass operation of Tj class engineering;the resource value consumed by the job of the ith Tj class project in the reference year bypass job event.The operation times of Tj type engineering in the bypass operation event of the reference year are as follows: and twice.

In the embodiment, the standard resource value of the bypass operation of each engineering category can be determined through the resource value of the bypass operation of each engineering category and the corresponding bypass operation times of each engineering category in the reference year, so that the calculation accuracy is improved.

In one exemplary embodiment, the server accumulates the number of outage hours for each scheduled outage event from the baseline annual operation event, starting with the 1 st scheduled outage event, using equation (6):

(6)

(7)

wherein,the time and the number of the users saved for planning the power failure event in the bypass operation event are as follows: a user;the unit of event number of planned outage event in the bypass operation event is: a piece;for the number of users affected by the ith scheduled outage event, units: a user;power outage duration for the ith planned power outage event, units: hours.

(8)

The server calculates an adjustment coefficient of the number of users at the time of power outage of the planning year by using a formula (9) according to the number of annual power outage planning events of the target year and the number of annual power outage planning events of the reference year:

(9)

wherein,the adjustment coefficient of the number of households in power outage of planning year;the number of planned events, units, for planning annual blackouts: a piece;to plan the year of the yearNumber of power outage planning events, unit: and (3) a piece.

The server multiplies the adjustment coefficient by the number of units in the annual planned outage of the reference year by adopting a formula (10) to determine the predicted value of the number of units in the annual planned outage of the target year.

(10)

And the server determines the average planned power outage time of the user by adopting a formula (11) according to the predicted value of the number of users and the total number of users when the power outage is planned in the target year, wherein the average planned power outage time of the user is the average planned power outage time of the user under the condition of not considering bypass operation.

(11)

Wherein,p is the average planned outage time of the user without considering bypass operation, unit: h/household;the number of units is: household The unit is a predicted value of the number of households when power failure is planned for planning years: a user.

The server calculates the duty ratio of the number of the users planning the power failure according to the number of the users planning the power failure in the reference year and the total power failure time:

(4)

(5)

The server classifies each engineering category of the reference year into 7 types, namely, foundation engineering, other engineering, rush repair, municipal improvement, defect elimination and repairThe management engineering and the business expansion engineering, and the server counts the bypass operation times of each engineering class in the reference year and marks the bypass operation times asThe operation times of Tj class engineering; the total number of bypass operations in the reference year is recorded as . The bypass operation probability of each engineering class is calculated by adopting a formula (1):

(1)

wherein,representing the bypass job probability of a Tj class of engineering,，the method is used for representing the construction engineering class,representing the other classes of the device,the first-aid repair class is indicated,representing a municipal improvement migration class,the defect eliminating class is indicated as follows,indicating the type of repair work that is to be performed,representing the industrial expansion engineering class;the operation times of Tj type engineering are as follows: secondary times;the unit is the total number of bypass operations: and twice.

And the server performs weighted summation on the average value of the time-saving household number of each engineering class in the reference year and the bypass operation probability of the corresponding engineering class to obtain the time-saving household number of the single bypass operation standard, namely the time-saving household number of the bypass operation standard of each engineering class. According to the time-saving household number of each bypass operation in the bypass operation event of the reference year, calculating the standard time-saving household number of each engineering class bypass operation by using a formula (2):

(2)

wherein,the time and the number of the users are saved for a single bypass operation standard, and the unit is as follows: the number of time units;the operation times of Tj type engineering in the bypass operation event of the reference year are as follows: secondary times;the unit is the number of users avoiding power failure in the ith Tj class engineering in the basic year bypass operation event: a user;the unit is the operation duration of the ith Tj class engineering in the basic year bypass operation event: hours; Representing the bypass job probability of a Tj class of engineering,。

the server calculates the total number of bypass operations required by planning years according to the average power-off time of the users in the target years by adopting a formula (3):

(3)

The server calculates the bypass operation times required to be completed for each engineering category in the planning year according to the bypass operation probability of the engineering category and the total bypass operation times required for the planning year:

wherein,the unit is the number of times of bypass operation needed to be completed for planning the annual Tj engineering: and twice.

The server calculates the bypass operation standard resource value of each engineering category by adopting a formula (12):

(12)

wherein,standard resource number for single bypass operation of Tj class engineeringA value;the resource value consumed by the job of the ith Tj class project in the reference year bypass job event.The operation times of Tj type engineering in the bypass operation event of the reference year are as follows: and twice.

The service calculates the sub-resource value of the bypass operation of each engineering category, and adds the sub-resource data to obtain the total value of the bypass operation resource of the engineering category. And the server compares the total resource value of the engineering class bypass operation with a preset resource value and judges whether the total resource value of the engineering class bypass operation is greater than the magnitude relation of the preset resource value. If the total resource value of the engineering class bypass operation is larger than the preset resource value, the preset resource value is considered to be incapable of meeting the total resource value consumed by all engineering class bypass operations; if the total resource value of the engineering class bypass operation is smaller than or equal to the preset resource value, the preset resource value is considered to be capable of meeting the total resource value consumed by all engineering class bypass operations.

When the total resource value of the engineering class bypass job is larger than the preset resource value, that is, the preset resource value cannot meet the total resource value consumed by all engineering class bypass jobs, the server determines a target work class bypass job from all engineering class bypass jobs in a target year based on the preset resource value and the sub-resource values of all engineering class bypass jobs, and selects the target work class bypass job which can be executed in the target year, so that the bypass job is more in accordance with the existing resource configuration, and when the existing resource configuration cannot meet all class bypass jobs, the resource configuration is more reasonable. The server selects the first N bypass jobs with the largest sub-resource values from the bypass jobs of each engineering class in the target year as target work class bypass jobs according to the preset resource values and the first N bypass jobs with the largest sub-resource values of the bypass jobs of each engineering class.

It should be understood that, although the steps in the flowcharts related to the embodiments described above are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.

Based on the same inventive concept, the embodiment of the application also provides a bypass job data processing device for realizing the bypass job data processing method. The implementation of the solution provided by the device is similar to the implementation described in the above method, so the specific limitation in the embodiments of the bypass job data processing device provided below may be referred to the limitation of the bypass job data processing method hereinabove, and will not be repeated herein.

In one exemplary embodiment, as shown in FIG. 8, there is provided a bypass job data processing apparatus comprising: a first obtaining module 801, a bypass job total number determining module 802, a sub-resource value determining module 803, a total resource value determining module 804, a judging module 805, and an L module, wherein:

the first obtaining module 801 is configured to obtain bypass job data of a reference year and standard resource values of bypass jobs of each engineering class.

The bypass operation total number determining module 802 is configured to determine a required bypass operation total number of the target year according to bypass operation data of the reference year.

A sub-resource value determining module 803 is configured to determine a sub-resource value of each engineering class bypass job based on the total number of required bypass jobs for the target year and the standard resource value of each engineering class bypass job.

The total resource value determining module 804 is configured to determine a total resource value of the engineering class bypass job based on the sub-resource values of the engineering class bypass jobs.

The judging module 805 is configured to judge whether the total resource value of the engineering class bypass job is greater than a preset resource value.

The target bypass job determination module 806 is configured to determine, when the total resource value of the engineering class bypass job is greater than the preset resource value, a target work class bypass job from the engineering class bypass jobs of the target year based on the preset resource value and the sub-resource values of the engineering class bypass jobs.

In one exemplary embodiment, bypass job total number determination module 802 includes:

and the probability determining unit is used for determining the bypass operation probability of each engineering category according to the bypass operation times of each engineering category in the reference year and the total bypass operation times in the reference year.

And the average time saving user number determining unit is used for determining the average time saving user number of the bypass operation of each engineering category in the reference year according to the time saving user number of the bypass operation of the reference year and the number of each engineering category.

And the standard time-saving user number determining unit is used for determining the standard time-saving user number of the bypass operation of each engineering category according to the average time-saving user number of the bypass operation of each engineering category in the reference year and the bypass operation probability of each corresponding engineering category.

And the bypass operation total number determining unit is used for determining the required bypass operation total number of times in a target year based on the bypass operation standard time-saving user number and the user average power-off time of each engineering class, wherein the user average power-off time indicates the user average power-off time under the condition of not considering the bypass operation.

In an exemplary embodiment, the bypass job total number determining unit includes:

and the difference value determining subunit is used for determining the user average power failure time difference value based on the target annual user average power failure time and the user average power failure time.

And the bypass operation total number determining subunit is used for determining the required bypass operation total number of target years based on the average power failure time difference value of the users, the standard time-saving user number of the bypass operation of each engineering class and the number of the users.

In one exemplary embodiment, a bypass job data processing apparatus includes:

and the planned power outage time determining module is used for determining the average planned power outage time of the user according to the number of the planned power outage time in the basic annual operation event, the number of the time units saved by the planned power outage event in the bypass operation and the annual power outage planned number of the target year, wherein the average planned power outage time of the user indicates the average planned power outage time of the user under the condition of not considering the bypass operation.

And the duty ratio determining module is used for obtaining the duty ratio of the planned power failure time according to the planned power failure time and the total power failure time.

And the average power failure time determining module is used for determining the average power failure time of the user based on the average power failure time of the user and the duty ratio of the number of users when the power failure is planned.

In one exemplary embodiment, the planned outage time determination module includes:

and the planned outage time household number determining unit is used for determining the annual planned outage time household number in the reference year based on the planned outage time household number in the reference year operation event and the planned outage event-saving time household number in the bypass operation.

And an adjustment coefficient determination unit for determining an adjustment coefficient based on the number of units at the time of annual planned outage of the reference year and the annual planned outage of the target year.

And the predicted value determining unit of the number of the scheduled power outage is used for determining the predicted value of the number of the scheduled power outage of the target year according to the adjustment coefficient and the number of the scheduled power outage of the year of the reference year.

And the planned outage time determining unit is used for determining the average planned outage time of the user based on the predicted value of the number of users and the total number of users in the planned outage time of the target year.

In one exemplary embodiment, a bypass job data processing apparatus includes:

The second acquisition module is used for acquiring the resource value of each engineering class bypass operation and the number of times of each engineering class bypass operation in the reference year.

And the standard resource value module is used for determining the standard resource value of each engineering class bypass operation according to the resource value of each engineering class bypass operation in the reference year and the times of each engineering class bypass operation.

The various modules in the bypass job data processing apparatus described above may be implemented in whole or in part by software, hardware, or a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.

In one exemplary embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 9. The computer device includes a processor, a memory, an Input/Output interface (I/O) and a communication interface. The processor, the memory and the input/output interface are connected through a system bus, and the communication interface is connected to the system bus through the input/output interface. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is for storing bypass job data. The input/output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used for communicating with an external terminal through a network connection. The computer program, when executed by a processor, implements a bypass job data processing method.

It will be appreciated by those skilled in the art that the structure shown in fig. 9 is merely a block diagram of a portion of the structure associated with the present application and is not limiting of the computer device to which the present application applies, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.

In an embodiment, there is also provided a computer device comprising a memory and a processor, the memory having stored therein a computer program, the processor implementing the steps of the method embodiments described above when the computer program is executed.

In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when executed by a processor, carries out the steps of the method embodiments described above.

In an embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the steps of the method embodiments described above.

Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in the various embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magnetic random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (Phase Change Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like. The databases referred to in the various embodiments provided herein may include at least one of relational databases and non-relational databases. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processors referred to in the embodiments provided herein may be general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic units, quantum computing-based data processing logic units, etc., without being limited thereto.

The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.

The above examples only represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the present application. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application shall be subject to the appended claims.

Claims

1. A bypass job data processing method, the method comprising:

2. The method of claim 1, wherein determining the total number of required bypass jobs for the target year based on the bypass job data for the reference year comprises:

3. The method of claim 2, wherein determining the total number of required bypass operations for the target year based on the number of time-saving subscribers, the average outage time for the user, and the engineering class bypass operation criteria comprises:

4. The method according to claim 2, wherein the method further comprises:

5. The method of claim 4, wherein determining the average planned outage time for the user based on the number of planned outage time units in the baseline annual operation event, the number of time units saved in the planned outage event in the bypass operation, and the planned annual outage time for the target year, comprises:

6. The method according to claim 1, wherein the method further comprises:

7. A bypass job data processing apparatus, the apparatus comprising:

8. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 6 when the computer program is executed.

9. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.

10. A computer program product comprising a computer program, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.