CN112288180A - Comprehensive order dispatching method and system for distribution network maintenance work order - Google Patents
Comprehensive order dispatching method and system for distribution network maintenance work order Download PDFInfo
- Publication number
- CN112288180A CN112288180A CN202011227098.6A CN202011227098A CN112288180A CN 112288180 A CN112288180 A CN 112288180A CN 202011227098 A CN202011227098 A CN 202011227098A CN 112288180 A CN112288180 A CN 112288180A
- Authority
- CN
- China
- Prior art keywords
- dispatching
- order
- maintenance
- factor
- factors
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000012423 maintenance Methods 0.000 title claims abstract description 164
- 238000009826 distribution Methods 0.000 title claims abstract description 58
- 238000000034 method Methods 0.000 title claims abstract description 46
- 238000004422 calculation algorithm Methods 0.000 claims description 13
- 238000004458 analytical method Methods 0.000 claims description 10
- 238000004364 calculation method Methods 0.000 claims description 10
- 238000003860 storage Methods 0.000 claims description 9
- 238000004590 computer program Methods 0.000 claims description 8
- 238000012163 sequencing technique Methods 0.000 claims description 3
- 230000008569 process Effects 0.000 abstract description 9
- 230000006872 improvement Effects 0.000 abstract description 3
- 238000010586 diagram Methods 0.000 description 9
- 238000011156 evaluation Methods 0.000 description 8
- 238000010801 machine learning Methods 0.000 description 5
- 238000012545 processing Methods 0.000 description 5
- 102100036790 Tubulin beta-3 chain Human genes 0.000 description 4
- 230000006870 function Effects 0.000 description 4
- 241000287196 Asthenes Species 0.000 description 1
- 101000713575 Homo sapiens Tubulin beta-3 chain Proteins 0.000 description 1
- 101000713585 Homo sapiens Tubulin beta-4A chain Proteins 0.000 description 1
- 206010063385 Intellectualisation Diseases 0.000 description 1
- 102100036788 Tubulin beta-4A chain Human genes 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000010606 normalization Methods 0.000 description 1
- 238000011084 recovery Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000012549 training Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Images
Classifications
-
- 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
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- 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
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06311—Scheduling, planning or task assignment for a person or group
-
- 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
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06311—Scheduling, planning or task assignment for a person or group
- G06Q10/063112—Skill-based matching of a person or a group to a task
-
- 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
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06311—Scheduling, planning or task assignment for a person or group
- G06Q10/063114—Status monitoring or status determination for a person or group
-
- 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—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Marketing (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- Game Theory and Decision Science (AREA)
- Health & Medical Sciences (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- Primary Health Care (AREA)
- General Health & Medical Sciences (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a comprehensive distribution method and a system for a distribution network maintenance work order, wherein the method comprises the following steps: acquiring a distribution factor of a distribution network maintenance work order; classifying the dispatching factors of all distribution network maintenance work orders; calculating a weight solution of each type of order dispatching factor corresponding to each maintainer according to the classification result; calculating a weight solution corresponding to each maintenance worker according to the weight solution of each type of order dispatching factor; obtaining the maximum value in the weight solutions corresponding to all maintenance workers, namely the optimal solution of the dispatching list; and dispatching the distribution network maintenance worker according to the optimal dispatching list solution. The invention can make the whole distribution and maintenance process smoother in the whole information management process by an informatization scheme, and brings materialized improvement to the whole distribution and maintenance work.
Description
Technical Field
The invention relates to the field of power distribution network maintenance, in particular to a comprehensive distribution method and a comprehensive distribution system for a distribution network maintenance work order.
Background
At present, the importance of informatization in China is self-evident, and business informatization begins in all industries. For the power grid, intellectualization and informatization are inevitable trends of power grid development. In the power grid service, the allocation and preemption service occupies a very high proportion in the whole service of the power grid, and the allocation and preemption service is also an important index for the service work of the power grid service. However, the informatization degree of the existing allocation and preemption work is still very low, for the traditional allocation and preemption service system, the dispatching of maintenance orders is mainly focused on manual dispatching, and the allocation and preemption service of part of power supply network companies is also simply dispatched and maintained by a single index, so that scientific calculation and guidance are lacked, and more disadvantages exist in the actual working process.
For example, in the algorithm of dispatching, the dispatching is mainly dependent on the positioning data of the maintenance personnel, namely, the dispatching is performed by taking the distance of the maintenance personnel from the fault point as a factor.
Disclosure of Invention
Aiming at the defects of the prior art, the invention aims to provide a comprehensive distribution method and a comprehensive distribution system for a distribution network maintenance work order, so as to solve the problem that the informatization degree of distribution and robbery work in the prior art is still very low.
In order to achieve the purpose, the invention adopts the technical scheme that:
a comprehensive order dispatching method for a distribution network maintenance work order comprises the following steps:
acquiring a distribution factor of a distribution network maintenance work order;
classifying the dispatching factors of all distribution network maintenance work orders;
calculating a weight solution of each type of order dispatching factor corresponding to each maintainer according to the classification result;
calculating a weight solution corresponding to each maintenance worker according to the weight solution of each type of order dispatching factor;
obtaining the maximum value in the weight solutions corresponding to all maintenance workers, namely the optimal solution of the dispatching list;
and dispatching the distribution network maintenance worker according to the optimal dispatching list solution.
Further, classifying the dispatching factors of all the distribution network maintenance work orders, including dividing the dispatching factors into core dispatching factors and non-core dispatching factors; the core order factors include: the time for the maintenance personnel to reach the fault place, the time for the maintenance personnel to solve the similar problems, the current order receiving quantity of the maintenance personnel, the types of the maintenance faults, the priority principle of the maintenance faults, the emergency level of the maintenance faults and the difficulty level of the maintenance faults; the non-core order dispatching factors comprise the maintenance skill level of a maintenance person, the skill proficiency of the maintenance person, the field of adequacy of the maintenance person, the daily workload of the maintenance person and the current task state of the maintenance person.
Further, calculating a weight solution of each type of order dispatching factor corresponding to each maintainer according to the classification result, wherein the weight solution of the core order dispatching factor is obtained through a sequence relation analysis method, and the weight solution of the non-core order dispatching factor is obtained through a random gradient descent algorithm.
Further, obtaining a weight solution of the core order factor by an order relation analysis method includes:
sequencing all core order dispatching factors by an order relation analysis method;
assigning values to the core order dispatching factors according to the sorting result to obtain a weight coefficient;
multiplying the weight coefficient and the factor value of each core order factor;
and multiplying the weight coefficients and the factor values of all the core order factors, and adding to obtain a weight solution of the core order factors.
Further, obtaining a weight solution of the non-core order-dispatching factor through a stochastic gradient descent algorithm, including:
acquiring a weight coefficient of a non-core order dispatching factor according to an SGD algorithm;
multiplying the weight coefficient and the factor value of each non-core order-dispatching factor;
and multiplying the weight coefficients and the factor values of all the non-core order factors, and adding to obtain a weight solution of the non-core order factors.
Further, the calculation formula of the weight solution corresponding to each maintenance worker is as follows:
V＝θ1*Vss2+θ2*Vss4；
wherein V is a weight solution corresponding to each maintenance worker; theta1Parameter values corresponding to the core order dispatching factors; vss2Weight solution of the core order factor; theta2Parameter values corresponding to the non-core order dispatching factors; vss4A weight solution for the non-core order-giving factor.
A distribution network maintenance work order comprehensive order dispatching system, the system comprising:
a first obtaining module: the order dispatching factor is used for acquiring a distribution network maintenance work order;
a classification module: the distribution network maintenance work order dispatching system is used for classifying the order dispatching factors of all distribution network maintenance work orders;
a first calculation module: the system is used for calculating the weight solution of each type of order dispatching factor corresponding to each maintenance worker according to the classification result;
a second calculation module: the system is used for calculating a weight solution corresponding to each maintenance worker according to the weight solution of each type of order dispatching factor;
a second obtaining module: the method comprises the steps of obtaining the maximum value in the weight solutions corresponding to all maintenance workers, namely the optimal solution of the dispatching order;
a dispatch module: and the method is used for dispatching the distribution network maintenance worker according to the optimal dispatching list solution.
A distribution network maintenance work order comprehensive dispatching system comprises a processor and a storage medium;
the storage medium is used for storing instructions;
the processor is configured to operate according to the instructions to perform the steps of the method described above.
A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method described above. Compared with the prior art, the invention has the following beneficial effects:
the invention combines the aspects of practicability, guidance, economy and the like, combines the industry standard and the operation to confirm the order dispatching factor of the maintenance work order, and determines the weight solution of the order dispatching factor through the sequence relation analysis method and the SGD calculation method, thereby having higher credibility and feasibility; the method has the advantages that the weight solution corresponding to each maintenance worker is calculated according to the weight solution of each type of order distribution factor, and the order distribution is carried out on the distribution network maintenance workers according to the weight solution corresponding to each maintenance worker, so that the method is greatly improved in comparison with a manual visual specified mode, the informatization degree of a scheme is improved, the whole distribution and maintenance process is smoother in the whole informatization management process, and the materialized improvement is brought to the whole distribution and maintenance work.
Drawings
FIG. 1 is a flow chart of an algorithm;
FIG. 2 is a diagram of a menu factor structure.
Detailed Description
The present invention will be described in further detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
A comprehensive distribution network maintenance work order dispatching method utilizes an expert coefficient evaluation method and a machine learning random gradient descent algorithm to obtain an optimal solution. First, the core factors and non-core factors of the dispatching dispatch are established by analyzing the specific practice and work in the maintenance work. And then determining the weight coefficient of each core factor by adopting an order relation analysis method for the core factors, thereby obtaining the optimal solution of the core factors. Secondly, the optimal solution is obtained for the non-core factors by using a random gradient descent algorithm of machine learning. And finally, obtaining a result of monotonicity dispatching from the two solutions, and providing guidance for maintenance work.
As shown in fig. 1 and fig. 2, the comprehensive distribution network maintenance work order dispatching method of the invention includes the following steps:
step SS 1: and classifying the dispatching factors of all the distribution network maintenance work orders into core dispatching factors and non-core dispatching factors. Wherein the core order factors include: the time for the maintenance personnel to reach the fault place, the time for the maintenance personnel to solve the similar problems, the current order receiving quantity of the maintenance personnel, the category of the maintenance faults, the priority principle of the maintenance faults (distance priority principle and skill priority principle), the emergency level of the maintenance faults and the difficulty level of the maintenance faults; non-core order factors include: the five factors, namely the daily workload of the maintenance personnel and the current task state of the maintenance personnel, are mainly evaluation indexes of the maintenance personnel, do not directly influence fault maintenance, but are non-negligible factors in the actual working process.
The time of the maintenance personnel reaching the fault point reflects the timeliness of the service and the timeliness of the recovery fault, so the method is an extremely important index factor in the system; the two factors of the similar problem solving time of the maintenance personnel and the current order receiving quantity of the maintenance personnel are factors which are influenced by the capability of the maintenance personnel for actually solving the problems and are taken as the concern factors of the maintenance personnel; the maintenance fault type, the maintenance fault priority principle, the maintenance fault emergency level and the maintenance fault difficulty level are all attribute factors of the maintenance fault, and the factors directly determine information such as maintenance difficulty, maintenance range, maintenance flow to be adopted, and maintenance standard operation and the like, so the maintenance fault type, the maintenance fault priority principle, the maintenance fault emergency level and the maintenance fault difficulty level are very important factors in the maintenance process, and the maintenance fault type, the maintenance fault priority principle, the maintenance fault emergency level and the maintenance fault difficulty level belong to core order dispatching factors.
Step SS 2: and for the core order dispatching factors, determining the weight coefficient of the core order dispatching factors corresponding to each maintenance worker in the order by using an order relation analysis method.
Step SS 3: and calculating to obtain a weight solution of the core order dispatching factors according to the weight coefficient of the core order dispatching factors in each maintenance worker order dispatching of the SS2 and the factor value corresponding to each core order dispatching factor.
Step SS 4: and for the non-core order dispatching factors, obtaining a weight solution of the non-core order dispatching factors corresponding to each maintenance worker by using a machine learning random gradient descent algorithm.
Step SS 5: and obtaining a final result of the order according to the weight solution of the core order factor in the step SS3 and the weight solution of the non-core order factor in the step SS4, wherein the final result is the maintenance personnel to which the order is assigned. In step SS2, when determining the weight coefficient of the core order factor in the order using the order relation analysis method for the core order factor, the main method is as follows:
firstly, determining the order relation of each factor to the importance of the allocation, preemption and maintenance work, and adopting the following formula:
wherein the evaluation index x1，x2，……,xmThe order relationship is determined according to the '>'. Herein, the
Represents { xiThe core order factor is evaluated according to the ith evaluation factor (i is 1,2, … m) after the sequence relation is '>' sequencing sequence, and the process is as follows, in a factor index set { x }1,x2,…xmThe index which is considered most important is selected and marked as
Then, the most important indexes are selected from the m-1 indexes
And so on until the order relation of all core order dispatching factors is confirmed, as follows: maintenance failure priority principle (distance priority principle, skill priority principle) > maintenance failure emergency level > maintenance personnel arrival time at failure place > maintenance failure difficulty level > maintenance failure category > maintenance personnelThe similar problem solving time is longer than the current order receiving number of maintenance personnel;
table 1: assignment reference table
The weight coefficient of the core order dispatching factor is assigned and calculated according to an assignment reference table, because the factors are too many, a maintenance fault priority principle, a maintenance fault emergency level and the solution time of the similar problems of maintenance personnel are used for explanation, and three parameters are adopted:
is provided with
Priority principle factors for maintenance faults; is provided with
To maintain a failure emergency level factor; is provided with
Solving the time factor for the similar problems of maintenance personnel; is provided with
The current order receiving quantity is the current order receiving quantity of maintenance personnel; the reference assignments are given as follows:
it is thus possible to obtain: r is2r3r4＝2.688,r3r4＝2.24,r4＝1.4
Therefore: r is2r3r4+r3r4+r4＝6.328
The following can be obtained:
other indexes are processed by the above method, and the weight coefficients of all the core order factors can be obtained as follows:
the weight coefficients are confirmed, the specific factor value corresponding to each core order dispatching factor needs to be used by maintenance personnel with the same parameter standard, and the normalization processing is carried out on the factor value, wherein the value is between 0 and 1. And multiplying the weight coefficients and the factor values of all the core order factors and then adding the multiplied values to obtain a weight solution of the core order factors.
In step SS4, for the non-core order factor, a machine-learned random gradient descent algorithm is used, the method is as follows:
selecting effective qualified order data from historical order data, then obtaining evaluation index values of non-core order factors from maintenance skill levels of maintenance personnel, skill proficiency of maintenance personnel, the field of adequacy of maintenance personnel and daily workload of maintenance personnel through multiple ways such as other systems, expert research, mutual evaluation and the like, and then training by using an SGD algorithm to obtain weight coefficients of the non-core order factors. After the weight coefficient is obtained, when a new task maintenance work order arrives, multiplying the weight coefficient by the factor value corresponding to each non-core order dispatching factor, multiplying the weight coefficients of all the non-core order dispatching factors by the factor values, and adding to obtain a weight solution of the non-core order dispatching factors.
After the weight solutions of the steps SS3 and SS4 are obtained, the parameter value theta corresponding to the core order dispatching factor is set1Parameter value theta corresponding to non-core order-dispatching factor2And calculating a weight solution corresponding to each maintainer according to the parameter values. These two parameters theta1,θ2Set by the system, to theta depending on empirical corrections during the time dispatch1Is 0.3, theta2Is 0.7.
Finally, obtaining a weight solution corresponding to each maintenance worker in the dispatch: theta ═ V1*Vss2+θ2*Vss4；Vss2Weight solution of the core order factor; vss4A weight solution for the non-core order-giving factor. Obtaining the maximum value in the weight solutions corresponding to all maintenance workers, namely the optimal solution of the dispatching list; and dispatching the distribution network maintenance worker according to the optimal dispatching list solution.
The invention refers to the mode and method of maintenance personnel in actual work, takes company operation specification and system as the basis, investigates the actual situation and the check index in work, summarizes two factors, and has good guidance and practice. The joint can be well jointed in the actual work. The coefficient is determined by means of expert evaluation, and the obtained coefficient index system is more authoritative. Meanwhile, the evaluation result obtained by machine learning also has good applicability, and can well guide various types of maintenance work.
The invention starts from company business, combines the experience and the actual situation of each actual maintenance worker, and summarizes two main factors in allocating and dispatching a list: core factors and non-core factors. Meanwhile, by using informatization methods such as machine learning and the like, the assignment maintenance work order is more in line with the actual situation and the fairness principle is considered, and a reliable, credible and feasible guidance method is provided for the distribution and robbery work of the power distribution network.
A distribution network maintenance work order comprehensive order dispatching system, the system comprising:
a first obtaining module: the order dispatching factor is used for acquiring a distribution network maintenance work order;
a classification module: sorting all distribution network maintenance work order dispatching factors
A first calculation module: the system is used for obtaining a weight solution of each type of order dispatching factor corresponding to each maintenance worker according to the classification result;
a second calculation module: the system is used for calculating a weight solution corresponding to each maintenance worker according to the weight solution of each type of order dispatching factor;
a second obtaining module: the method comprises the steps of obtaining the maximum value in the weight solutions corresponding to all maintenance workers, namely the optimal solution of the dispatching order;
a dispatch module: and the method is used for dispatching the distribution network maintenance worker according to the optimal dispatching list solution.
A distribution network maintenance work order comprehensive dispatching system comprises a processor and a storage medium;
the storage medium is used for storing instructions;
the processor is configured to operate according to the instructions to perform the steps of the method described above.
A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method described above.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, 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, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
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.
The present invention is not limited to the above embodiments, and any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention are included in the scope of the claims of the present invention which are filed as the application.
Claims (9)
1. A comprehensive order dispatching method for a distribution network maintenance work order is characterized by comprising the following steps:
acquiring a distribution factor of a distribution network maintenance work order;
classifying the dispatching factors of all distribution network maintenance work orders;
calculating a weight solution of each type of order dispatching factor corresponding to each maintainer according to the classification result;
calculating a weight solution corresponding to each maintenance worker according to the weight solution of each type of order dispatching factor;
obtaining the maximum value in the weight solutions corresponding to all maintenance workers, namely the optimal solution of the dispatching list;
and dispatching the distribution network maintenance worker according to the optimal dispatching list solution.
2. The comprehensive dispatching method of the distribution network maintenance work order as claimed in claim 1, wherein the dispatching factors of all the distribution network maintenance work orders are classified, including dividing the dispatching factors into core dispatching factors and non-core dispatching factors; the core order factors include: the time for the maintenance personnel to reach the fault place, the time for the maintenance personnel to solve the similar problems, the current order receiving quantity of the maintenance personnel, the types of the maintenance faults, the priority principle of the maintenance faults, the emergency level of the maintenance faults and the difficulty level of the maintenance faults; the non-core order dispatching factors comprise the maintenance skill level of a maintenance person, the skill proficiency of the maintenance person, the field of adequacy of the maintenance person, the daily workload of the maintenance person and the current task state of the maintenance person.
3. The method of claim 2, wherein the calculating the weight solution of each type of order dispatching factor corresponding to each maintainer according to the classification result comprises obtaining the weight solution of the core order dispatching factor through a sequence relation analysis method and obtaining the weight solution of the non-core order dispatching factor through a stochastic gradient descent algorithm.
4. The method of claim 3, wherein obtaining a weight solution of core order dispatching factors by an order relationship analysis method comprises:
sequencing all core order dispatching factors by an order relation analysis method;
assigning values to the core order dispatching factors according to the sorting result to obtain a weight coefficient;
multiplying the weight coefficient and the factor value of each core order factor;
and multiplying the weight coefficients and the factor values of all the core order factors, and adding to obtain a weight solution of the core order factors.
5. The method of claim 3, wherein obtaining a weight solution of the non-core order dispatching factor through a stochastic gradient descent algorithm comprises:
acquiring a weight coefficient of a non-core order dispatching factor according to an SGD algorithm;
multiplying the weight coefficient and the factor value of each non-core order-dispatching factor;
and multiplying the weight coefficients and the factor values of all the non-core order factors, and adding to obtain a weight solution of the non-core order factors.
6. The method of claim 1, wherein a calculation formula of a weight solution corresponding to each maintenance worker is as follows:
V＝θ1*Vss2+θ2*Vss4；
wherein V is a weight solution corresponding to each maintenance worker; theta1Parameter values corresponding to the core order dispatching factors; vss2To order the coreWeight solution of the factor; theta2Parameter values corresponding to the non-core order dispatching factors; vss4A weight solution for the non-core order-giving factor.
7. The utility model provides a join in marriage net maintenance work order and synthesize dispatch list system which characterized in that, the system includes:
a first obtaining module: the order dispatching factor is used for acquiring a distribution network maintenance work order;
a classification module: the distribution network maintenance work order dispatching system is used for classifying the order dispatching factors of all distribution network maintenance work orders;
a first calculation module: the system is used for calculating the weight solution of each type of order dispatching factor corresponding to each maintenance worker according to the classification result;
a second calculation module: the system is used for calculating a weight solution corresponding to each maintenance worker according to the weight solution of each type of order dispatching factor;
a second obtaining module: the method comprises the steps of obtaining the maximum value in the weight solutions corresponding to all maintenance workers, namely the optimal solution of the dispatching order;
a dispatch module: and the method is used for dispatching the distribution network maintenance worker according to the optimal dispatching list solution.
8. A distribution network maintenance work order comprehensive dispatching system is characterized by comprising a processor and a storage medium;
the storage medium is used for storing instructions;
the processor is configured to operate in accordance with the instructions to perform the steps of the method according to any one of claims 1 to 6.
9. Computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011227098.6A CN112288180B (en) | 2020-11-05 | 2020-11-05 | Comprehensive dispatching method and system for distribution network maintenance work orders |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011227098.6A CN112288180B (en) | 2020-11-05 | 2020-11-05 | Comprehensive dispatching method and system for distribution network maintenance work orders |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112288180A true CN112288180A (en) | 2021-01-29 |
| CN112288180B CN112288180B (en) | 2024-06-18 |
Family
ID=74351476
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011227098.6A Active CN112288180B (en) | 2020-11-05 | 2020-11-05 | Comprehensive dispatching method and system for distribution network maintenance work orders |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112288180B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113526286A (en) * | 2021-07-19 | 2021-10-22 | 广州广日电梯工业有限公司 | Elevator health management method and health management device based on information physical system |
| CN116882980A (en) * | 2023-09-06 | 2023-10-13 | 神州顶联科技有限公司 | Repair resource allocation method and system based on user repair behavior |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130138663A1 (en) * | 2011-11-30 | 2013-05-30 | Telefonaktiebolaget L M Ericsson (Publ) | System or Apparatus for Finding Influential Users |
| CN106161092A (en) * | 2016-07-14 | 2016-11-23 | 国网山东省电力公司青岛供电公司 | A kind of network distributing failure emergency repair work order distributing method and device |
| CN106339829A (en) * | 2016-11-10 | 2017-01-18 | 国网山东省电力公司济南供电公司 | Big data, Cloud, IoT and mobile internet technologies based active maintenance panorama monitoring system of power distribution network |
| CN106570654A (en) * | 2016-11-10 | 2017-04-19 | 国网山东省电力公司济南供电公司 | Breakdown rescue real-time situation monitoring and event interactive processing system for power distribution network |
| CN107067163A (en) * | 2017-03-24 | 2017-08-18 | 青岛海信网络科技股份有限公司 | A kind of breakdown maintenance work dispatching method and device |
| CN108764725A (en) * | 2018-05-29 | 2018-11-06 | 景祝强 | Worksheet processing classification maintenance unit, system and method based on history maintenance record |
| CN109858746A (en) * | 2018-12-26 | 2019-06-07 | 阳光电源股份有限公司 | A kind of fault ticket distributing method and fault ticket management system |
| CN110289682A (en) * | 2019-06-11 | 2019-09-27 | 广西电网有限责任公司南宁供电局 | A kind of distribution repairing aid decision and intelligent managing and control system |
| US20200169085A1 (en) * | 2017-06-28 | 2020-05-28 | Silvio Becher | Method for recognizing contingencies in a power supply network |
| CN111415093A (en) * | 2020-03-24 | 2020-07-14 | 江苏中堃数据技术有限公司 | Distribution transformer fault early warning method based on multi-factor and dynamic weight |
| CN111861215A (en) * | 2020-07-21 | 2020-10-30 | 重庆现代建筑产业发展研究院 | Community intelligent equipment autonomous maintenance order dispatching system and method based on Internet of things |
-
2020
- 2020-11-05 CN CN202011227098.6A patent/CN112288180B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130138663A1 (en) * | 2011-11-30 | 2013-05-30 | Telefonaktiebolaget L M Ericsson (Publ) | System or Apparatus for Finding Influential Users |
| CN106161092A (en) * | 2016-07-14 | 2016-11-23 | 国网山东省电力公司青岛供电公司 | A kind of network distributing failure emergency repair work order distributing method and device |
| CN106339829A (en) * | 2016-11-10 | 2017-01-18 | 国网山东省电力公司济南供电公司 | Big data, Cloud, IoT and mobile internet technologies based active maintenance panorama monitoring system of power distribution network |
| CN106570654A (en) * | 2016-11-10 | 2017-04-19 | 国网山东省电力公司济南供电公司 | Breakdown rescue real-time situation monitoring and event interactive processing system for power distribution network |
| CN107067163A (en) * | 2017-03-24 | 2017-08-18 | 青岛海信网络科技股份有限公司 | A kind of breakdown maintenance work dispatching method and device |
| US20200169085A1 (en) * | 2017-06-28 | 2020-05-28 | Silvio Becher | Method for recognizing contingencies in a power supply network |
| CN108764725A (en) * | 2018-05-29 | 2018-11-06 | 景祝强 | Worksheet processing classification maintenance unit, system and method based on history maintenance record |
| CN109858746A (en) * | 2018-12-26 | 2019-06-07 | 阳光电源股份有限公司 | A kind of fault ticket distributing method and fault ticket management system |
| CN110289682A (en) * | 2019-06-11 | 2019-09-27 | 广西电网有限责任公司南宁供电局 | A kind of distribution repairing aid decision and intelligent managing and control system |
| CN111415093A (en) * | 2020-03-24 | 2020-07-14 | 江苏中堃数据技术有限公司 | Distribution transformer fault early warning method based on multi-factor and dynamic weight |
| CN111861215A (en) * | 2020-07-21 | 2020-10-30 | 重庆现代建筑产业发展研究院 | Community intelligent equipment autonomous maintenance order dispatching system and method based on Internet of things |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113526286A (en) * | 2021-07-19 | 2021-10-22 | 广州广日电梯工业有限公司 | Elevator health management method and health management device based on information physical system |
| CN113526286B (en) * | 2021-07-19 | 2022-11-25 | 广州广日电梯工业有限公司 | Elevator health management method and health management device based on information physical system |
| CN116882980A (en) * | 2023-09-06 | 2023-10-13 | 神州顶联科技有限公司 | Repair resource allocation method and system based on user repair behavior |
| CN116882980B (en) * | 2023-09-06 | 2023-11-21 | 神州顶联科技有限公司 | Repair resource allocation method and system based on user repair behavior |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112288180B (en) | 2024-06-18 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109598416B (en) | Dynamic scheduling system and scheduling method for composite material workshop | |
| CN103955754B (en) | Mold workshop scheduling method based on real-time production data collection | |
| WO2023070819A1 (en) | Intelligent work order system based on graphical strategy programming engine, and working method thereof | |
| CN106651089A (en) | Modeling and optimization method for production scheduling problem distribution set robust model | |
| WO2022087962A1 (en) | Simulation-based closed-loop aps scheduling optimization method and system, and storage medium | |
| CN112288180A (en) | Comprehensive order dispatching method and system for distribution network maintenance work order | |
| CN106934484B (en) | PDA-based field operation and maintenance daily work planning method | |
| CN111199354A (en) | Hopfield neural network-based power communication network operation and maintenance work order scheduling method | |
| CN117035691B (en) | Engineering construction digital project management method and system based on BIM technology | |
| CN106779317A (en) | A kind of grid equipment method for evaluating quality | |
| CN114169766A (en) | Production management method and system for industrial capacity allocation | |
| CN112232722B (en) | Building equipment management system based on building information model technology | |
| CN109409780B (en) | Change processing method, device, computer equipment and storage medium | |
| CN110991784B (en) | Method and system for dispatching abnormal low-voltage transformer area | |
| CN109658003A (en) | A kind of property facility equipment management system and method | |
| CN110490361A (en) | The digital emergency planning system and its design method of urban distribution network contingency management | |
| CN106779442A (en) | Have a power failure the generation method and device planned | |
| CN115392771A (en) | Enterprise efficiency management system and method in park | |
| CN115936722A (en) | Data management method of intelligent gas call center, internet of things system and medium | |
| CN117131697A (en) | Digital twin system for online workflow of transformer substation construction stage | |
| CN115619382A (en) | Power dispatching visual management method and system | |
| Shen | An uncertain parallel machine problem with deterioration and learning effect | |
| CN113657788A (en) | Enterprise safety production standardization intelligent supervision system and method | |
| CN107832408B (en) | Power grid defect recommendation method based on data labels and entropy weight method | |
| CN116644929A (en) | Intelligent management method for operation and maintenance work orders of power distribution network equipment based on Internet of things perception |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |