CN111210033B - Distribution network emergency repair situation-based distributed analysis method - Google Patents
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Abstract
The invention discloses a distribution network emergency repair situation-based distributed analysis method, which comprises the following steps of: 1) according to the data situation generated by the first-aid repair work of the power grid distribution network, analyzing the data to establish an analysis dimension model; 2) definitely calculating required data conditions according to the analysis dimension model to form a necessary data condition model; 3) after calculation, performing secondary modeling of an analysis method on the calculated value to form an analysis method model; 4) the final value calculated by the analysis method is assigned to a method value definition to form a method value model. The method is suitable for distribution network emergency maintenance management in the power industry, and provides an analysis method for emergency maintenance team data for a manager when emergency maintenance human resources are distributed and arranged, so that difference results of various teams are obtained, and the human resources of the teams are distributed more reasonably.
Description
Technical Field
The invention belongs to the technical field of electric power data analysis, and particularly relates to a distributed analysis method based on distribution network emergency repair situation.
Background
The power distribution network is used as the end of power consumption, the situations of large quantity, multiple devices, wide user distribution, complex lines and the like exist, and various problems often occur to the devices in the complex and changeable environment, so that the situations of power failure and power failure of the users occur, and the production of enterprises and the lives of people are influenced.
In order to improve the efficiency of the emergency repair work of the problems of the distribution network equipment, reduce the time interval between the outage and the power failure, and reasonably optimize the emergency repair human resources, the problem becomes the long-term research of the distribution network management unit, but due to the influence of factors such as the difference of areas and equipment, the difference of personnel levels, the complexity of the distribution network condition and the like, a great deal of difficulty is brought to the research and analysis work of reasonably optimizing the emergency repair human resources.
Disclosure of Invention
Based on the problems of the prior art, the invention provides a distribution network emergency repair situation-based distributed analysis method, which analyzes emergency repair data conditions of emergency repair teams and groups from 4 dimensions on the basis of a distribution network emergency repair data situation to form a distributed difference result, assists a distribution network manager in making a decision on emergency repair human resource allocation and human quality improvement, and realizes improvement of efficiency of distribution network equipment problem emergency repair work.
The invention is realized by the following technical scheme:
a distribution network emergency repair situation-based distributed analysis method comprises an analysis dimension model, a necessary data condition model, an analysis method model and a method value model, and comprises the following steps:
1) according to the data situation generated by the first-aid repair work of the power grid distribution network, four analysis dimension models of first-aid repair fault quantity, maintenance line scale, maintenance equipment scale and service user quantity are established by analyzing the data; the analysis dimension model is mainly responsible for determining the analysis dimension;
2) definitely calculating required data conditions according to the analysis dimension model to form a model of 5 types of necessary data conditions including the total number of teams, the total rush-repair failure amount of teams, the total length of team maintenance lines, the total number of team maintenance equipment and the total number of team service users, and calculating an analysis dimension value; the essential data condition model is mainly responsible for definitely analyzing dimension calculation condition values;
3) after calculation, performing secondary modeling of an analysis method on the calculated value to form four analysis method models of an emergency repair fault quantity analysis method, a maintenance line scale analysis method, a maintenance equipment scale analysis method and a service user quantity analysis method; the analysis method model is mainly responsible for providing a calculation method of corresponding analysis dimensions;
4) the final value calculated by the analysis method is endowed with a method value definition to form a method value model; the method value model comprises a value definition and a value interval, and is mainly responsible for explaining the meaning of the value and defining the data range of the value;
in the analysis dimension model, the rush-repair fault amount is the rush-repair fault amount of rush-repair teams and groups, and is represented by X; the maintenance line scale is the maintenance line scale of the first-aid team and the crew, and is represented by Y; the maintenance equipment scale is the scale of the maintenance equipment for the first-aid repair teams and the groups per capita and is represented by Z; the service user quantity is the quantity of the emergency repair team per-capita service users and is represented by T;
in the necessary data condition model, the total number of the teams is the total number of rush-repair personnel in rush-repair teams and is represented by W; the total failure amount of the first-aid repair teams is the total number of the first-aid repair tasks executed by the first-aid repair teams in the analysis time and is represented by Q; the total length of the team maintenance line is the total length of the line needing to be maintained in the area under the jurisdiction of the rush-repair team and is represented by E; the total number of the team maintenance equipment is the total number of transformers needing to be maintained in the area under the jurisdiction of the rush-repair team, and is represented by R; the total number of the team service users is the total number of all users in the area under the jurisdiction of the rush-repair team, and is represented by P;
in the analysis method model,
the formula of the emergency repair fault quantity analysis method is as follows: Q/W is equal to X,
the maintenance line scale analysis method has the following formula: E/W is equal to Y,
the formula of the maintenance equipment scale analysis method is as follows: R/W is equal to Z,
the formula of the service user quantity analysis method is as follows: P/W is P.
Preferably, in the method value model, the number of groups is defined based on an analysis method for the emergency repair fault amount, an analysis method for the maintenance line size, an analysis method for the maintenance equipment size and an analysis method for the service user amount according to the number of the groups.
Preferably, according to the number of the groups, the MAX value and the MIN value of the same analysis dimension are taken as 100 and 0, and the calculated values are put into a value interval to obtain the difference of the same dimension values of each group.
The invention has the beneficial effects that: the method is suitable for distribution network emergency maintenance management in the power industry, and provides an analysis method for emergency maintenance team data for a manager when emergency maintenance human resources are distributed and arranged, so that difference results of various teams are obtained, and the human resources of the teams are distributed more reasonably.
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FIG. 1 is a diagram of a model architecture according to the present invention;
FIG. 2 is a logic diagram of the present invention.
Detailed Description
Embodiments of the present invention will now be described with reference to the accompanying drawings. According to the distribution network emergency repair situation-based distributed analysis method provided by the invention, the emergency repair data conditions of emergency repair teams and groups are analyzed from 4 dimensions on the basis of the distribution network emergency repair data situation to form a distributed difference result, so that a distribution network manager is assisted to make a decision on emergency repair human resource allocation and human quality improvement, and the efficiency of the problem emergency repair work of distribution network equipment is improved.
With reference to fig. 1, a distribution network emergency repair situation-based distributed analysis method includes an analysis dimension model, a necessary data condition model, an analysis method model, and a method value model, and includes the following steps:
1) according to the data situation generated by the first-aid repair work of the power grid distribution network, four analysis dimension models of first-aid repair fault quantity, maintenance line scale, maintenance equipment scale and service user quantity are established by analyzing the data;
2) definitely calculating required data conditions according to the analysis dimension model to form a model of 5 types of necessary data conditions including the total number of teams, the total rush-repair failure amount of teams, the total length of team maintenance lines, the total number of team maintenance equipment and the total number of team service users, and calculating an analysis dimension value;
3) after calculation, performing secondary modeling of an analysis method on the calculated value to form four analysis method models of an emergency repair fault quantity analysis method, a maintenance line scale analysis method, a maintenance equipment scale analysis method and a service user quantity analysis method;
4) the final value calculated by the analysis method is assigned to a method value definition to form a method value model.
Specifically, in the analysis dimension model, the rush-repair fault amount is the rush-repair fault amount per group of rush-repair teams and is represented by X; the maintenance line scale is the maintenance line scale of the first-aid team and the crew, and is represented by Y; the maintenance equipment scale is the scale of the maintenance equipment for the first-aid repair teams and the groups per capita and is represented by Z; the service user quantity is the quantity of the emergency repair team per-capita service users and is represented by T;
specifically, in the necessary data condition model, the total number of the teams is the total number of emergency repair personnel in the emergency repair teams, and is represented by W; the total failure amount of the first-aid repair teams is the total number of the first-aid repair tasks executed by the first-aid repair teams in the analysis time and is represented by Q; the total length of the team maintenance line is the total length of the line needing to be maintained in the area under the jurisdiction of the rush-repair team and is represented by E; the total number of the team maintenance equipment is the total number of transformers needing to be maintained in the area under the jurisdiction of the rush-repair team, and is represented by R; the total number of the team service users is the total number of all users in the area under the jurisdiction of the rush-repair team, and is represented by P;
specifically, in the analysis method model,
the formula of the emergency repair fault quantity analysis method is as follows: Q/W is equal to X,
the maintenance line scale analysis method has the following formula: E/W is equal to Y,
the formula of the maintenance equipment scale analysis method is as follows: R/W is equal to Z,
the formula of the service user quantity analysis method is as follows: P/W is T.
Further, the value definition of the method value model is as follows: according to the different numbers of the groups, the group number definition is added on the basis of an analysis method for the emergency repair fault amount, an analysis method for the maintenance line size, an analysis method for the maintenance equipment size and an analysis method for the service user amount.
Further, the method includes the steps of taking the MAX value and the MIN value of the same analysis dimension as 100 and 0 according to the number of the groups, and putting the calculated values into the value taking interval to obtain the difference of the same dimension values of the groups.
The invention will be further described with reference to fig. 2.
As shown in fig. 2, if N emergency repair teams are provided, the method for analyzing the amount of emergency repair failures, the method for analyzing the scale of maintenance lines, the method for analyzing the scale of maintenance equipment, and the method for analyzing the amount of service users are as follows:
emergency repair fault amount analysis method
1, group: Q1/W1 ═ X1; 2, group: Q2/W2 ═ X2; 3, group: Q3/W3 ═ X3; 4, group: Q4/W4 ═ X4; n groups: Qn/Wn ═ Xn;
maintenance line scale analysis method
1, group: E1/W1 ═ Y1; 2, group: E2/W2 ═ Y2; 3, group: E3/W3 ═ Y3; 4, group: E4/W4 ═ Y4; n groups: En/Wn is Yn;
maintenance equipment scale analysis method
1, group: R1/W1 ═ Z1; 2, group: R2/W2 ═ Z2; 3, group: R3/W3 ═ Z3; 4, group: R4/W4 ═ Z4; n groups: Rn/Wn ═ Zn;
service user quantity analysis method
1, group: P1/W1 ═ T1; 2, group: P2/W2 ═ T2; 3, group: P3/W3 ═ T3; 4, group: P4/W4 ═ T4; n groups: Pn/Wn is Tn.
Then, taking the MAX value under the same analysis dimension as 100 and the MIN value as 0 according to the value range, and putting the calculated value into the value range to obtain the difference of the same dimension values of each team, which is specifically as follows:
breakdown of first-aid repair
MAX=100=MAX[(Q1/W1):(Q2/W2):(Q3/W3):(Q4/W4):(Qn/Wn)],MIN=0;
Maintaining line scale
MAX=100=MAX[(E1/W1):(E2/W2):(E3/W3):(E4/W4):(En/Wn)],MIN=0;
Scale of maintenance equipment
MAX=100=MAX[(R1/W1):(R2/W2):(R3/W3):(R4/W4):(Rn/Wn)],MIN=0;
Serving user volume
MAX=100=MAX[(P1/W1):(P2/W2):(P3/W3):(P4/W4):(Pn/Wn)],MIN=0。
The above disclosure is not intended to limit the scope of the invention, which is defined by the claims, but is intended to cover all modifications within the scope and spirit of the invention.
Claims (3)
1. A distribution network emergency repair situation-based distributed analysis method is characterized by comprising an analysis dimension model, a necessary data condition model, an analysis method model and a method value model, and comprises the following steps:
1) according to the data situation generated by the first-aid repair work of the power grid distribution network, four analysis dimension models of first-aid repair fault quantity, maintenance line scale, maintenance equipment scale and service user quantity are established by analyzing the data;
2) definitely calculating required data conditions according to the analysis dimension model to form a model of 5 types of necessary data conditions including the total number of teams, the total rush-repair failure amount of teams, the total length of team maintenance lines, the total number of team maintenance equipment and the total number of team service users, and calculating an analysis dimension value;
3) after calculation, performing secondary modeling of an analysis method on the calculated value to form four analysis method models of an emergency repair fault quantity analysis method, a maintenance line scale analysis method, a maintenance equipment scale analysis method and a service user quantity analysis method;
4) the final value calculated by the analysis method is endowed with a method value definition to form a method value model; wherein the content of the first and second substances,
in the analysis dimension model, the rush-repair fault amount is the rush-repair fault amount of rush-repair teams and groups, and is represented by X; the maintenance line scale is the maintenance line scale of the first-aid team and the crew, and is represented by Y; the maintenance equipment scale is the scale of the maintenance equipment for the first-aid repair teams and the groups per capita and is represented by Z; the service user quantity is the quantity of the emergency repair team per-capita service users and is represented by T;
in the necessary data condition model, the total number of the teams is the total number of rush-repair personnel in rush-repair teams and is represented by W; the total failure amount of the first-aid repair teams is the total number of the first-aid repair tasks executed by the first-aid repair teams in the analysis time and is represented by Q; the total length of the team maintenance line is the total length of the line needing to be maintained in the area under the jurisdiction of the rush-repair team and is represented by E; the total number of the team maintenance equipment is the total number of transformers needing to be maintained in the area under the jurisdiction of the rush-repair team, and is represented by R; the total number of the team service users is the total number of all users in the area under the jurisdiction of the rush-repair team, and is represented by P;
in the analysis method model,
the formula of the emergency repair fault quantity analysis method is as follows: Q/W is equal to X,
the maintenance line scale analysis method has the following formula: E/W is equal to Y,
the formula of the maintenance equipment scale analysis method is as follows: R/W is equal to Z,
the formula of the service user quantity analysis method is as follows: P/W is P.
2. The distribution network emergency repair situation-based distributed analysis method according to claim 1, wherein in the method value model, according to the difference of the number of the groups, a group number definition is added on the basis of an emergency repair fault amount analysis method, a maintenance line size analysis method, a maintenance equipment size analysis method and a service user amount analysis method.
3. The distribution network emergency repair situation-based distributed analysis method according to claim 2, wherein according to the number of groups, the MAX value and the MIN value of the same analysis dimension are taken as 100 and 0, and the calculated values are placed in a value range to obtain the difference between the same dimension values of the groups.
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Citations (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US8103522B1 (en) * | 2007-06-29 | 2012-01-24 | National Care Network LLC | System and method for calculating claim reimbursement recommendations |
CN104156803A (en) * | 2014-07-17 | 2014-11-19 | 国网山东省电力公司 | Construction data processing system and data processing method for provincial company teams |
CN104537469A (en) * | 2014-12-17 | 2015-04-22 | 广东电网有限责任公司江门供电局 | Power grid enterprise team work load quantitative method |
CN105354670A (en) * | 2015-11-05 | 2016-02-24 | 国家电网公司 | Method for controlling working risk of multiple teams |
CN105701596A (en) * | 2015-12-24 | 2016-06-22 | 国家电网公司 | Method for lean distribution network emergency maintenance and management system based on big data technology |
CN106815647A (en) * | 2016-12-28 | 2017-06-09 | 国家电网公司 | A kind of high efficiency distribution network failure repairing system and method based on data analysis |
CN106855959A (en) * | 2016-11-15 | 2017-06-16 | 国网上海市电力公司 | The optimization method that a kind of urban power distribution network repairing stationary point is set |
CN108898311A (en) * | 2018-06-28 | 2018-11-27 | 国网湖南省电力有限公司 | A kind of data quality checking method towards intelligent distribution network repairing dispatching platform |
CN110147957A (en) * | 2019-05-21 | 2019-08-20 | 大连地拓重工有限公司 | A kind of manufacturing enterprise's internal contract team competence assessment system |
CN110276554A (en) * | 2019-06-26 | 2019-09-24 | 广西电网有限责任公司南宁供电局 | A kind of distribution low voltage failure repairing aid decision and intelligent managing and control system |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20020169562A1 (en) * | 2001-01-29 | 2002-11-14 | Gregory Stephanopoulos | Defining biological states and related genes, proteins and patterns |
-
2020
- 2020-01-07 CN CN202010012044.1A patent/CN111210033B/en active Active
Patent Citations (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US8103522B1 (en) * | 2007-06-29 | 2012-01-24 | National Care Network LLC | System and method for calculating claim reimbursement recommendations |
CN104156803A (en) * | 2014-07-17 | 2014-11-19 | 国网山东省电力公司 | Construction data processing system and data processing method for provincial company teams |
CN104537469A (en) * | 2014-12-17 | 2015-04-22 | 广东电网有限责任公司江门供电局 | Power grid enterprise team work load quantitative method |
CN105354670A (en) * | 2015-11-05 | 2016-02-24 | 国家电网公司 | Method for controlling working risk of multiple teams |
CN105701596A (en) * | 2015-12-24 | 2016-06-22 | 国家电网公司 | Method for lean distribution network emergency maintenance and management system based on big data technology |
CN106855959A (en) * | 2016-11-15 | 2017-06-16 | 国网上海市电力公司 | The optimization method that a kind of urban power distribution network repairing stationary point is set |
CN106815647A (en) * | 2016-12-28 | 2017-06-09 | 国家电网公司 | A kind of high efficiency distribution network failure repairing system and method based on data analysis |
CN108898311A (en) * | 2018-06-28 | 2018-11-27 | 国网湖南省电力有限公司 | A kind of data quality checking method towards intelligent distribution network repairing dispatching platform |
CN110147957A (en) * | 2019-05-21 | 2019-08-20 | 大连地拓重工有限公司 | A kind of manufacturing enterprise's internal contract team competence assessment system |
CN110276554A (en) * | 2019-06-26 | 2019-09-24 | 广西电网有限责任公司南宁供电局 | A kind of distribution low voltage failure repairing aid decision and intelligent managing and control system |
Non-Patent Citations (2)
Title |
---|
以标杆评价为导向的精细化管控应用研究;高尚飞等;《企业改革与管理》;20180525;第43-44页 * |
威海供电公司配网抢修精细化管理分析系统的设计与实现;赵慧群;《中国优秀硕士学位论文全文数据库 信息科技辑》;20180415(第04期);I138-1381 * |
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