CN114240255A - Incidence relation-based power overhaul scheme recommendation method and device - Google Patents

Incidence relation-based power overhaul scheme recommendation method and device Download PDF

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Publication number
CN114240255A
CN114240255A CN202210058181.8A CN202210058181A CN114240255A CN 114240255 A CN114240255 A CN 114240255A CN 202210058181 A CN202210058181 A CN 202210058181A CN 114240255 A CN114240255 A CN 114240255A
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scheme
power overhaul
incidence relation
electric power
recommended
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Inventor
盛宏伟
吴继顺
汪卫东
魏强
章红来
王嘉毅
王涛涛
项鑫
刘贝贝
林成理
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Zhejiang Electric Power Transmission and Transforming Engineering Co
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0637—Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
    • G06Q10/06375—Prediction of business process outcome or impact based on a proposed change
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/20—Administration of product repair or maintenance
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Electricity, gas or water supply

Abstract

The invention relates to the technical field of data processing, and provides a method and a device for recommending an electric power overhaul scheme based on an incidence relation. The electric power overhaul scheme recommendation method based on the incidence relation comprises the following steps: receiving at least two metrics for generating a recommended power overhaul scheme; and inputting the received at least two indexes and the scheme difference threshold value into a scheme prediction model, and determining the recommended electric power overhaul scheme, wherein the scheme prediction model is obtained by training the incidence relation between the indexes of the electric power overhaul scheme historical data and the scheme difference threshold value. According to the method and the device, the received indexes are compared with the historical data of the electric power overhaul scheme, and the safety of the recommended electric power overhaul scheme can be improved.

Description

Incidence relation-based power overhaul scheme recommendation method and device
Technical Field
The invention relates to the technical field of data processing, in particular to a method and a device for recommending an electric power overhaul scheme based on an incidence relation.
Background
The power grid is a network for power transmission, and it is self-evident that safety and reliability of the power grid have great influence on life of people, weather, regions, network topology and the like all affect the power grid in the actual operation process of the power grid, so the power grid needs to be periodically overhauled to reduce the possible influence to the minimum, before the power grid is overhauled, an overhaul scheme needs to be formulated to ensure that each service of the power grid is not affected, if the overhaul scheme is formulated only by personal experience, careless mistakes can be generated, and potential safety hazards are caused, so a method for formulating the power overhaul scheme needs to be improved, and a power overhaul scheme recommendation method and a device based on association relation are developed to solve at least one technical problem.
Disclosure of Invention
The embodiment of the invention aims to provide a method which can be combined with historical data of an electric power overhaul scheme to improve the reliability and safety of the electric power overhaul scheme.
In order to achieve the above object, an embodiment of the present invention provides an electric power overhaul scheme recommendation method based on an association relationship, including:
receiving at least two metrics for generating a recommended power overhaul scheme; and inputting the received at least two indexes and the scheme difference threshold value into a scheme prediction model, and determining the recommended electric power overhaul scheme, wherein the scheme prediction model is obtained by training the incidence relation between the indexes of the electric power overhaul scheme historical data and the scheme difference threshold value.
Optionally, in the method for recommending an electric power overhaul scheme based on an association relationship, the indexes include weather, time, geographic conditions, participants, and overhaul point conditions.
Optionally, the method for recommending an electric power overhaul scheme based on the association relationship further includes:
at least two indexes of the historical data of the power overhaul scheme are quantized and standardized.
Optionally, the method for recommending an electric power overhaul scheme based on an association relationship further includes:
and quantizing and standardizing the received at least two indexes.
Optionally, the method for recommending an electric power overhaul scheme based on an association relationship further includes:
acquiring index values of at least two received indexes;
taking the received index with the index value larger than a preset threshold value as a key index;
and inputting the key indexes and a preset scheme difference threshold value into a resource prediction model.
Optionally, the method for recommending an electric power overhaul scheme based on an association relationship further includes:
and each index is endowed with a weight, the weighted average of at least two recommended electric power maintenance schemes is calculated, and the electric power maintenance scheme with the maximum value is taken as the final recommended scheme.
Optionally, the method for recommending an electric power overhaul scheme based on an association relationship further includes:
and evaluating and assigning the safety level of the power overhaul scheme to be recommended.
Optionally, the method for recommending an electric power overhaul scheme based on an association relationship further includes:
the weight is set according to the geographical position and the weather condition, or according to the working age and experience value of the staff.
Optionally, the method for recommending an electric power overhaul scheme based on the association relationship further includes:
and preferentially recommending the electric power overhaul scheme with high safety level under the condition that the index scores of the electric power overhaul schemes to be recommended are the same.
Another aspect of the present application provides an electric power overhaul scheme recommendation device based on an incidence relation, where the device includes:
a receiving module configured to receive at least two indicators for generating a recommended power overhaul scheme;
a prediction module configured to input the received at least two indicators and the scheme difference threshold into a scheme prediction model, and determine a recommended power overhaul scheme, wherein the scheme prediction model is obtained by training correlations between the indicators of the power overhaul scheme historical data and the scheme difference threshold.
In the technical scheme, the electric power overhaul scheme aiming at the preset index is obtained in a modeling mode, and the safety and the accuracy of the recommended electric power overhaul scheme can be improved.
Additional features and advantages of embodiments of the invention will be set forth in the detailed description which follows.
Drawings
The accompanying drawings, which are included to provide a further understanding of the embodiments of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the embodiments of the invention without limiting the embodiments of the invention. In the drawings:
FIG. 1 is a flow chart of a correlation-based power overhaul scheme recommendation method according to the present application;
fig. 2 is a schematic structural diagram of an electric power overhaul scheme recommendation device based on a correlation according to some embodiments of the present application.
Detailed Description
The following detailed description of embodiments of the invention refers to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating embodiments of the invention, are given by way of illustration and explanation only, not limitation.
Some block diagrams and/or flow diagrams are shown in the figures. It will be understood that some blocks of the block diagrams and/or flowchart illustrations, or combinations thereof, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the instructions, which execute via the processor, create means for implementing the functions/acts specified in the block diagrams and/or flowchart block or blocks. The techniques of this application may be implemented in hardware and/or software (including firmware, microcode, etc.). In addition, the techniques of this application may take the form of a computer program product on a computer-readable storage medium having instructions stored thereon for use by or in connection with an instruction execution system.
According to the electric power overhaul scheme recommendation method and device based on the incidence relation, the required optimal electric power overhaul scheme to be recommended is given through combination with historical data of the electric power overhaul scheme, and reliability and safety of the electric power overhaul scheme are improved.
Fig. 1 is a flowchart of a power overhaul scheme recommendation method based on incidence relations according to the present application, and the method shown in fig. 1 includes:
s110, receiving at least two indexes for generating a recommended electric power overhaul scheme; and S120, inputting the received at least two indexes and the scheme difference threshold value into a scheme prediction model, and determining the recommended electric power overhaul scheme, wherein the scheme prediction model is obtained through training of the incidence relation between the indexes of the electric power overhaul scheme historical data and the scheme difference threshold value.
For some embodiments of the present application, the modeling process of the resource prediction model includes modeling the association degree between each index and the power overhaul scheme, extracting a difference threshold to represent the association degree between the two schemes, using data in the power overhaul scheme training set as a training data set, training the model, inputting the index information into the model, and outputting the difference threshold between the schemes, which may be implemented in a machine learning manner.
According to some embodiments of the present application, the indicators include weather, time, geographic conditions, attendees, and point of service conditions.
According to some embodiments of the present application, an electric power overhaul scheme with an incidence relation further includes quantizing at least two indexes of historical data of the electric power overhaul scheme, and standardizing the indexes, specifically, a method for quantizing the indexes includes:
setting weather conditions as a set of variables x1、x2、x3、x4… …, it can be used to indicate whether the weather is clear, temperature, humidity, wind power, etc., and can be discrete values or continuous settings, such as when x is clear1When the temperature is equal to-1, snowfall is indicated, when the temperature is equal to 0, clear is indicated, when the temperature is equal to 1, rain is indicated, and the temperature x is2Can be-25 to 45 ℃ and the humidity x3Set to 0 to 100, wind size x4The difference threshold may be set to any of a plurality of value ranges equal to or greater than 0, set to 0 to 12.
According to one embodiment of the application, a method comprises: the received index is subjected to quantization and normalization processing, and the index in the scheme is changed to be represented by a numerical value between 0 and 1.
According to some embodiments of the present application, a power overhaul scheme recommendation method based on incidence relation further includes: acquiring index values of at least two received indexes; taking the received index with the index value larger than a preset threshold value as a key index; and inputting the key indexes and a preset scheme difference threshold value into a resource prediction model.
According to some specific embodiments of the present application, each received index is compared with the index of the corresponding power overhaul scheme sample set to obtain a power overhaul scheme with a correlation degree within a preset range, for example, x of the power overhaul scheme needing to be recommended is set1Value and x of a sample set of power overhaul schemes1' the square error of the value is 0, x2And x2' squared difference of valuesLess than 0.01, x3And x3' the squared difference of the values is less than 0.03, x4And x4The square difference of the' value is less than 0.2, the received indexes meeting the conditions are substituted into the resource prediction model key indexes into the model as the preset difference threshold, and the electric power overhaul scheme with the correlation degree within the preset range is obtained and is used as the scheme to be recommended.
Under the condition that historical data of the power overhaul scheme is less, the power overhaul scheme to be recommended can be quickly and conveniently obtained by using the method.
In some embodiments of the present application, for a certain index x, the index feature value in a sample is divided into n intervals, and the classification according to the known classification of each sample includes a positive sample and a negative sample, where the positive sample is a sample that reaches a difference threshold, and the negative sample is a sample that does not satisfy the threshold, and an information value IV of the index x is defined as follows:
Figure BDA0003477248790000051
where% N represents the proportion occupied by the counter example and% P represents the proportion occupied by the proportional example, the above method can be used to determine the key indicators.
According to some embodiments of the present application, a power overhaul scheme recommendation method based on an incidence relation further includes:
each index is assigned a weight aiCalculating the weighted average of the difference between each index of the historical data and the index to be recommended, and taking the minimum difference as the final result, namely the calculation formula of the index is
Figure BDA0003477248790000061
Where n is greater than or equal to 1, wherein the weight of each item can be assessed by an expert or can be set according to actual conditions, such as geographical location and weather conditions, or according to the working age of the employee and experience values, i.e. the result of weighted averaging of the two indicators is
Figure BDA0003477248790000062
Where n is greater than or equal to 4, and so on for the case of multiple indices.
Under the condition that the historical data of the power overhaul scheme is more, the indexes to be recommended and the indexes of the historical data are further distinguished in a weighting mode, and the recommendation accuracy and reliability can be improved.
According to some embodiments of the present application, a power overhaul scheme recommendation method based on an incidence relation further includes:
and evaluating and assigning the safety level of the historical data of the power overhaul scheme, and calculating in a calculation formula by taking the safety equivalence as an index.
The recommendation method of the power overhaul scheme according to the embodiment of the application further comprises the following steps: the weight is set according to the geographical location and the weather condition, or according to the working age and experience value of the employee.
The recommendation method of the power overhaul scheme according to the embodiment of the application further comprises the following steps: and preferentially recommending the electric power overhaul scheme with high safety level under the condition that the index scores of the electric power overhaul schemes to be recommended are the same.
According to some embodiments of the present application, a power overhaul scheme recommendation method based on an incidence relation further includes:
the method comprises the steps of establishing a decision tree model by utilizing indexes related to an electric power overhaul scheme, training the decision tree model, obtaining data to be learned by training from historical data, defining each variable in the learned data by adopting the decision tree model, selecting the highest information gain rate as a current selection attribute for each variable, repeatedly executing the decision tree by continuously inputting a large amount of learned data, finally obtaining the decision tree model with reasonable evaluation indexes, and evaluating the obtained electric power overhaul scheme to be recommended by the decision tree model to obtain the most audited electric power overhaul scheme.
Fig. 2 is a schematic mechanism diagram of an electric power overhaul scheme recommendation device based on a correlation according to some embodiments of the present application, where the device further includes, as shown in fig. 2:
a receiving module 210 configured to receive at least two metrics for generating a recommended power overhaul scheme.
A prediction module 220 configured to input the received at least two indicators and the scheme difference threshold into a scheme prediction model, which is obtained by training correlations between the indicators of the power overhaul scheme history data and the scheme difference threshold, and determine a recommended power overhaul scheme.
The power overhaul scheme recommendation device based on the association relationship comprises a processor and a memory, wherein the receiving module 210, the predicting module 220 and the like are stored in the memory as program units, and the processor executes the program units stored in the memory to realize corresponding functions.
The processor comprises a kernel, and the kernel calls the corresponding program unit from the memory. The kernel can be set to be one or more, and the selection and recommendation of the power overhaul scheme are realized by adjusting the kernel parameters.
Any number of modules, sub-modules, units, sub-units, or at least part of the functionality of any number thereof according to embodiments of the present application may be implemented in one module. Any one or more of the modules, sub-modules, units and sub-units according to the embodiments of the present application may be implemented by being split into a plurality of modules. Any one or more of the modules, sub-modules, units, sub-units according to the embodiments of the present application may be implemented at least partially as a hardware circuit, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system on a chip, a system on a substrate, a system on a package, an Application Specific Integrated Circuit (ASIC), or may be implemented in any other reasonable manner of hardware or firmware by integrating or packaging a circuit, or in any one of or a suitable combination of software, hardware, and firmware. Alternatively, one or more of the modules, sub-modules, units, sub-units according to embodiments of the application may be at least partially implemented as computer program modules, which, when executed, may perform the corresponding functions. For example, any number of the normalization module 210 and the recommendation module 220 may be combined in one module for implementation, or any one of the modules may be split into multiple modules. Alternatively, at least part of the functionality of one or more of these modules may be combined with at least part of the functionality of the other modules and implemented in one module.
The memory may include volatile memory in a computer readable medium, Random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip.
An embodiment of the present invention provides a storage medium having a program stored thereon, where the program, when executed by a processor, implements an association-based power overhaul recommendation method.
The embodiment of the invention provides a processor, which is used for running a program, wherein an electric power overhaul recommendation method based on an incidence relation is executed when the program runs.
In particular, the processor may comprise, for example, a general purpose microprocessor, an instruction set processor and/or related chip set and/or a special purpose microprocessor (e.g., an Application Specific Integrated Circuit (ASIC)), or the like. The processor may also include on-board memory for caching purposes. The processor may be a single processing unit or a plurality of processing units for performing the different actions of the method flows according to embodiments of the application.
There is also provided, in accordance with an embodiment of the present application, a computer system, including one or more processors; memory for storing one or more programs, wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method as above.
The embodiment of the invention provides equipment, which comprises a processor, a memory and a program which is stored on the memory and can run on the processor, wherein the processor executes the program and realizes the following steps: (method claim step, independent + dependent). The device herein may be a server, a PC, a PAD, a mobile phone, etc.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include transitory computer readable media (transmyedia) such as modulated data signals and carrier waves.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims (10)

1. A power overhaul scheme recommendation method based on incidence relation is characterized by comprising the following steps:
receiving at least two metrics for generating a recommended power overhaul scheme;
and inputting the received at least two indexes and the scheme difference threshold value into a scheme prediction model, and determining the recommended electric power overhaul scheme, wherein the scheme prediction model is obtained by training the incidence relation between the indexes of the electric power overhaul scheme historical data and the scheme difference threshold value.
2. The incidence relation-based power overhaul scheme recommendation method according to claim 1, wherein the indexes comprise weather, time, geographic conditions, participants and overhaul point conditions.
3. The incidence relation-based power overhaul scheme recommendation method according to claim 1, further comprising:
at least two indexes of the historical data of the power overhaul scheme are quantized and standardized.
4. The incidence relation-based power overhaul scheme recommendation method according to claim 1, further comprising:
and quantizing and standardizing the received at least two indexes.
5. The incidence relation-based power overhaul scheme recommendation method according to claim 4, further comprising:
acquiring index values of at least two received indexes;
taking the received index with the index value larger than a preset threshold value as a key index;
and inputting the key indexes and a preset scheme difference threshold value into a resource prediction model.
6. The incidence relation-based power overhaul scheme recommendation method according to claim 4, further comprising:
and each index is endowed with a weight, the weighted average of at least two recommended electric power maintenance schemes is calculated, and the electric power maintenance scheme with the maximum value is taken as the final recommended scheme.
7. The incidence relation-based power overhaul scheme recommendation method according to claim 6, further comprising:
and evaluating and assigning the safety level of the power overhaul scheme to be recommended.
8. The incidence relation-based power overhaul scheme recommendation method according to claim 5, further comprising:
the weight is set according to the geographical position and the weather condition, or according to the working age and experience value of the staff.
9. The incidence relation-based power overhaul scheme recommendation method according to claim 7, further comprising:
and preferentially recommending the electric power overhaul scheme with high safety level under the condition that the index scores of the electric power overhaul schemes to be recommended are the same.
10. An incidence relation-based electric power overhaul scheme recommendation device is characterized by comprising:
a receiving module configured to receive at least two indicators for generating a recommended power overhaul scheme;
a prediction module configured to input the received at least two indicators and the scheme difference threshold into a scheme prediction model, and determine a recommended power overhaul scheme, wherein the scheme prediction model is obtained by training correlations between the indicators of the power overhaul scheme historical data and the scheme difference threshold.
CN202210058181.8A 2022-01-19 2022-01-19 Incidence relation-based power overhaul scheme recommendation method and device Pending CN114240255A (en)

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