CN109934459B - Visual grid-based abnormal dispatching method for operation errors of low-voltage station electric energy meter - Google Patents
Visual grid-based abnormal dispatching method for operation errors of low-voltage station electric energy meter Download PDFInfo
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Abstract
The invention discloses a low-voltage transformer area electric energy meter operation error abnormity dispatching method based on a visual grid, and relates to the field of power operation and maintenance. At present, operation and maintenance personnel are only responsible for the area under the control of the operation and maintenance personnel, and cannot reasonably allocate resources. The method comprises the following steps: constructing a collected object relation based on GIS grids; obtaining abnormal fault point data information of the operation error of the electric energy meter; acquiring operation and maintenance personnel data information; calculating the central point of the abnormal fault point of the operation error of the electric energy meter, and carrying out aggregation grouping on the abnormal fault point of the operation error of the electric energy meter according to the central point; grouping aggregation of abnormal fault points of operation errors of the electric energy meter; the abnormal point aggregation grouping data carries out emergency degree estimation on the abnormal fault points according to the abnormal total emergency degree judging model, so as to obtain abnormal total emergency degree values of all the abnormal fault points in the corresponding areas, determine the sequence of abnormal processing of each area so as to maintain a circuit operation system, provide a basis for subsequent accurate dispatching, and enable resources to be more reasonably utilized.
Description
Technical Field
The invention relates to the field of power operation and maintenance, in particular to a low-voltage transformer area electric energy meter operation error abnormity dispatching method based on a visual grid.
Background
The on-site operation and maintenance mode of the power acquisition system can be basically summarized into a personnel overall operation and maintenance mode and a grid responsibility system operation and maintenance mode. The personnel overall operation and maintenance mode is an operation and maintenance mode for uniformly carrying out personnel and task arrangement on faults within the responsibility range of county companies/power supply centers, and is generally used for dispatching once faults are encountered, operation and maintenance work management is in a rough stage, and tasks cannot be reasonably distributed. The grid responsibility system operation and maintenance mode is that firstly, the station groups adjacent to the region are combined into the smallest operation and maintenance unit, then, each grid is allocated with a unique responsibility person, the faults in the grid are processed by the grid responsibility group, and as the operation and maintenance personnel are only responsible for the region managed by the operation and maintenance personnel, even if the abnormal fault points are very close to the operation and maintenance personnel in space position, the abnormal fault points can not be aggregated as long as the affiliated stations are not in responsibility areas, and resources can not be reasonably allocated. In addition, the emergency degree of each abnormal fault point cannot be rapidly and accurately judged in the prior art, so that some emergency abnormal conditions cannot be timely solved, and further more serious conditions occur.
Disclosure of Invention
The technical problem to be solved and the technical task to be put forward in the invention are to perfect and improve the prior art scheme, and provide a low-voltage transformer area electric energy meter operation error abnormity dispatching method based on a visual grid so as to achieve the purpose of optimizing dispatching. For this purpose, the present invention adopts the following technical scheme.
A low-voltage station electric energy meter operation error abnormity dispatching method based on a visual grid comprises the following steps:
1) The method comprises the steps of constructing a GIS grid-based acquisition object relation, wherein the GIS grid-based acquisition object relation comprises a relation between a simple GIS grid and a platform region, a relation between the platform region and an acquisition terminal, a relation between the acquisition terminal and an acquisition device and a relation between the acquisition device and an electric energy meter, and integrating equipment geographic position information and GIS height by establishing a GIS grid code mark taking the platform region as a minimum unit so as to realize the visual display based on the GIS grid.
2) Acquiring data information of abnormal fault points of operation errors of the electric energy meter, wherein the data information of the abnormal fault points of the operation errors of the electric energy meter comprises coordinates of the abnormal fault points of the operation errors of the electric energy meter, field acquisition data and work order circulation data, and relates to the electricity consumption and the number of the electric energy meter of various users in a plurality of areas in a set time so as to analyze the geographical positions and the abnormal faults of a large number of users;
3) Acquiring operation and maintenance personnel data information, wherein the operation and maintenance personnel data information comprises operation and maintenance personnel position coordinate information, processing capability information and the number of people;
4) Calculating the central point of the abnormal fault points of the operation errors of the electric energy meters, grouping the abnormal fault points of the operation errors of the electric energy meters according to the central point, and grouping all the abnormal fault points of the operation errors of the electric energy meters in the same area into a group;
5) Aggregation grouping of abnormal fault points of operation errors of electric energy meter
a) Dividing the operating error abnormal fault point location ranges of a plurality of electric energy meters according to the station areas;
b) According to the corresponding relation between the station areas and the grids, all the abnormal fault points of the operation errors of the electric energy meters in the corresponding station areas are dropped into the corresponding GIS grids;
c) Solving the mass center of each grid abnormal point, and storing the coordinate point of the mass center, the total emergency degree of the abnormality and all abnormal types;
d) Judging whether each centroid is in a certain range, if so, merging and calculating a new centroid;
selecting a centroid point positioned in the middle position, drawing a rectangle or a circle by taking the centroid point as a center, and if the centroid point falls in the range of the rectangle or the circle, combining and calculating a new centroid; the size of the rectangle or the circle is determined according to the traffic capacity, the number of people and the service capacity of operation and maintenance personnel;
6) The abnormal point aggregation grouping data carries out emergency degree estimation on the abnormal fault points according to the abnormal total emergency degree judging model, so as to obtain abnormal total emergency degree values of all the abnormal fault points in the corresponding areas, determine the sequence of abnormal processing of each area so as to maintain a circuit operation system, provide a basis for subsequent accurate dispatching, and enable resources to be more reasonably utilized.
As a preferable technical means: the establishment of the abnormal total emergency degree judging model comprises the following steps:
601 Preliminary determination of the impact factor of the degree of emergency of the acquisition anomaly
The preliminary determination of the influence factor includes: average electricity consumption per month, abnormal duration, days for meter reading, intermittent faults and utility values of the electric energy meter;
602 Acquiring data of a circuit operating system
The data comprise field acquisition data and work order circulation data, and relate to the electricity consumption of various users in a plurality of areas, brands and quantity of electric energy meters in a period of time so as to carry out fluctuation analysis on the electricity consumption of a large number of users;
603 Determining an impact factor according to the urgency impact factor determination model
Inputting the influence factors which preliminarily determine the abnormal emergency acquisition into an emergency influence factor judgment model, carrying out data analysis according to the influence of each factor by the emergency influence factor judgment model through the existing operation data of the system, and when the result shows that the influence factors have obvious aggregation relation or continuous functions with the final result, showing that the factors should be counted into emergency calculation, and when the result shows that the discrete functions are not counted into emergency calculation; removing unsuitable influence factors to obtain influence factors which have definite influence on the degree of emergency;
604 Establishing an abnormal total emergency degree judgment model
And comprehensively modeling the influence factors which generate influence by comprehensively determining the influence factors to obtain an abnormal total emergency degree judging model.
The beneficial effects are that:
the technical scheme realizes reasonable arrangement of the work of each group of field personnel, so that the abnormal field processing work obtains optimal processing efficiency; the optimization of the whole processing effect is realized under the limited resource constraint environment. The scientific and reasonable abnormal fault point aggregation method is provided, all adjacent abnormal fault points can be aggregated together, unreasonable operation and maintenance resource allocation is avoided, the emergency degree of each abnormal point can be further accurately judged, a basis is provided for follow-up accurate dispatching, and resources are reasonably utilized.
According to the technical scheme, an abnormal grading processing mechanism is established by combining the operation error state of the intelligent electric energy meter; according to the factors such as fault points, positions of operation and maintenance personnel, reasons of out-of-tolerance of an operation table, abnormal grades and the like, an operation and maintenance collision mechanism and a resource efficient allocation scheme under the influence of multiple dimensions are obtained so as to develop intelligent dispatching and realize intelligent dispatching of low-voltage station abnormal processing which is suitable for the current situation of informatization levels and operation and maintenance modes of each unit.
According to the technical scheme, according to the characteristics of the low-voltage area, the electricity consumption of a user, the running error of an ammeter and other factors, each influence factor is analyzed, an abnormal total emergency degree judging model is constructed, the dispatching emergency degree sequencing is obtained according to the abnormal total emergency degree judging model, the original traditional dispatching mode which relies on human subjective judgment is changed, and intelligent automatic dispatching under the condition of limited resources is realized.
Drawings
Fig. 1 is a flow chart of the present invention.
Fig. 2 is a flowchart for establishing an abnormality total urgency determination model of the present invention.
Detailed Description
The technical scheme of the invention is further described in detail below with reference to the attached drawings.
As shown in fig. 1, the present invention includes the steps of:
1) The method comprises the steps of constructing a GIS grid-based acquisition object relation, wherein the GIS grid-based acquisition object relation comprises a relation between a simple GIS grid and a platform region, a relation between the platform region and an acquisition terminal, a relation between the acquisition terminal and an acquisition device and a relation between the acquisition device and an electric energy meter, and integrating equipment geographic position information and GIS height by establishing a GIS grid code mark taking the platform region as a minimum unit so as to realize the visual display based on the GIS grid.
2) Acquiring data information of abnormal fault points of operation errors of the electric energy meter, wherein the data information of the abnormal fault points of the operation errors of the electric energy meter comprises coordinates of the abnormal fault points of the operation errors of the electric energy meter, field acquisition data and work order circulation data, and relates to the electricity consumption and the number of the electric energy meter of various users in a plurality of areas in a set time so as to analyze the geographical positions and the abnormal faults of a large number of users;
3) Acquiring operation and maintenance personnel data information, wherein the operation and maintenance personnel data information comprises operation and maintenance personnel position coordinate information, processing capability information and the number of people;
4) Calculating the central point of the abnormal fault points of the operation errors of the electric energy meters, grouping the abnormal fault points of the operation errors of the electric energy meters according to the central point, and grouping all the abnormal fault points of the operation errors of the electric energy meters in the same area into a group;
5) Aggregation grouping of abnormal fault points of operation errors of electric energy meter
a) Dividing the operating error abnormal fault point location ranges of a plurality of electric energy meters according to the station areas;
b) According to the corresponding relation between the station areas and the grids, all the abnormal fault points of the operation errors of the electric energy meters in the corresponding station areas are dropped into the corresponding GIS grids;
c) Solving the mass center of each grid abnormal point, and storing the coordinate point of the mass center, the total emergency degree of the abnormality and all abnormal types;
d) Judging whether each centroid is in a certain range, if so, merging and calculating a new centroid;
selecting a centroid point positioned in the middle position, drawing a rectangle or a circle by taking the centroid point as a center, and if the centroid point falls in the range of the rectangle or the circle, combining and calculating a new centroid; the size of the rectangle or the circle is determined according to the traffic capacity, the number of people and the service capacity of operation and maintenance personnel;
6) The abnormal point aggregation grouping data carries out emergency degree estimation on the abnormal fault points according to the abnormal total emergency degree judging model, so as to obtain abnormal total emergency degree values of all the abnormal fault points in the corresponding areas, determine the sequence of abnormal processing of each area so as to maintain a circuit operation system, provide a basis for subsequent accurate dispatching, and enable resources to be more reasonably utilized. The establishment of the abnormal total emergency degree judging model, as shown in fig. 2, comprises the following steps:
601 Preliminary determination of the impact factor of the degree of emergency of the acquisition anomaly
The preliminary determination of the influence factor includes: average electricity consumption per month, abnormal duration, days for meter reading, intermittent faults and utility values of the electric energy meter;
602 Acquiring data of a circuit operating system
The data comprise field acquisition data and work order circulation data, and relate to the electricity consumption of various users in a plurality of areas, brands and quantity of electric energy meters in a period of time so as to carry out fluctuation analysis on the electricity consumption of a large number of users;
603 Determining an impact factor according to the urgency impact factor determination model
Inputting the influence factors which preliminarily determine the abnormal emergency acquisition into an emergency influence factor judgment model, carrying out data analysis according to the influence of each factor by the emergency influence factor judgment model through the existing operation data of the system, and when the result shows that the influence factors have obvious aggregation relation or continuous functions with the final result, showing that the factors should be counted into emergency calculation, and when the result shows that the discrete functions are not counted into emergency calculation; removing unsuitable influence factors to obtain influence factors which have definite influence on the degree of emergency;
604 Establishing an abnormal total emergency degree judgment model
And comprehensively modeling the influence factors which generate influence by comprehensively determining the influence factors to obtain an abnormal total emergency degree judging model.
The method for dispatching the operation error abnormality of the low-voltage transformer area electric energy meter based on the visual grid shown in the figures 1 and 2 is a specific embodiment of the invention, has shown the essential characteristics and the progress of the invention, and can be equivalently modified in the aspects of shape, structure and the like according to the actual use requirement under the teaching of the invention, and the method is within the scope of protection of the scheme.
Claims (2)
1. The method for dispatching the operation error abnormality of the low-voltage station electric energy meter based on the visual grid is characterized by comprising the following steps of:
1) Establishing a GIS grid-based acquisition object relation, wherein the GIS grid-based acquisition object relation comprises a relation between a simple GIS grid and a platform region, a relation between the platform region and an acquisition terminal, a relation between the acquisition terminal and an acquisition device and a relation between the acquisition device and an electric energy meter, establishing a GIS grid code mark taking the platform region as a unit, and integrating the equipment geographic position information with a GIS system to realize gridding display of an intelligent meter operation error fault and a dispatching scheme on the GIS;
2) Acquiring data information of abnormal fault points of operation errors of the electric energy meter, wherein the data information of the abnormal fault points of the operation errors of the electric energy meter comprises coordinates of the abnormal fault points of the operation errors of the electric energy meter, field acquisition data and work order circulation data, and relates to the electricity consumption and the number of the electric energy meter of various users in a plurality of areas in a set time so as to analyze the geographical positions and the abnormal faults of a large number of users;
3) Acquiring operation and maintenance personnel data information, wherein the operation and maintenance personnel data information comprises operation and maintenance personnel position coordinate information, processing capability information and the number of people;
4) Calculating the central point of the abnormal fault points of the operation errors of the electric energy meters, grouping the abnormal fault points of the operation errors of the electric energy meters according to the central point, and grouping all the abnormal fault points of the operation errors of the electric energy meters in the same area into a group;
5) Aggregation grouping of abnormal fault points of operation errors of electric energy meter
a) Dividing the operating error abnormal fault point location ranges of a plurality of electric energy meters according to the station areas;
b) According to the corresponding relation between the station areas and the grids, all the abnormal fault points of the operation errors of the electric energy meters in the corresponding station areas are dropped into the corresponding GIS grids;
c) Solving the mass center of each grid abnormal fault point, and storing the coordinate point of the mass center, the total emergency degree of the abnormality and all abnormal types;
d) Judging whether each centroid is in a certain range, if so, merging and calculating a new centroid;
selecting a centroid point positioned in the middle position, drawing a rectangle or a circle by taking the centroid point as a center, and if other centroid points fall in the range of the rectangle or the circle, combining and calculating a new centroid; the size of the rectangle or the circle is determined according to the traffic capacity, the number of people and the service capacity of operation and maintenance personnel;
6) The aggregation grouping data of the abnormal fault points carries out emergency degree estimation on the abnormal fault points according to the abnormal total emergency degree judging model, so that abnormal total emergency degree values of all the abnormal fault points in the corresponding areas are obtained, the sequence of abnormal processing of each area is determined to maintain a circuit operation system, a basis is provided for follow-up accurate dispatching, and resources are reasonably utilized.
2. The method for dispatching the operation error abnormality of the low-voltage transformer area electric energy meter based on the visual grid according to claim 1, wherein the method comprises the following steps:
the establishment of the abnormal total emergency degree judging model comprises the following steps:
601 Preliminary determination of the impact factor of the degree of emergency of the acquisition anomaly
The preliminary determination of the influence factor includes: average electricity consumption per month, abnormal duration, days for meter reading, intermittent faults and utility values of the electric energy meter;
602 Acquiring data of a circuit operating system
The data comprise field acquisition data and work order circulation data, and relate to the electricity consumption of various users in a plurality of areas, brands and quantity of electric energy meters in a period of time so as to carry out fluctuation analysis on the electricity consumption of a large number of users;
603 Determining an impact factor according to the urgency impact factor determination model
Inputting the influence factors which are preliminarily determined to acquire abnormal urgency into an urgency influence factor judging model, carrying out data analysis according to the influence of each factor by the urgency influence factor judging model through the existing operation data of the system, and when the result shows that the influence factors have obvious aggregation relation or continuous functions with the final result, showing that the influence factors should be counted into urgency calculation, and when the result shows that the influence factors are discrete and discontinuous, showing that the influence factors should not be counted into urgency calculation; removing unsuitable influence factors to obtain influence factors which have definite influence on the degree of emergency;
604 Establishing an abnormal total emergency degree judgment model
And comprehensively modeling the influence factors which generate influence by comprehensively determining the influence factors to obtain an abnormal total emergency degree judging model.
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| CN113381872A (en) * | 2020-03-10 | 2021-09-10 | 北京科东电力控制系统有限责任公司 | Partition-based electric power system abnormal alarm processing method and system |
| CN113985339B (en) * | 2021-09-22 | 2023-11-24 | 北京市腾河科技有限公司 | Error diagnosis method and system for intelligent ammeter, equipment and storage medium |
| CN114089114A (en) * | 2021-11-19 | 2022-02-25 | 重庆玖奇科技有限公司 | Low-voltage distribution network fault prediction method based on terminal sensing technology |
| CN116433110A (en) * | 2023-06-15 | 2023-07-14 | 湖南湘江城市运营管理有限公司 | Marketing gridding construction method |
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