CN107730123B - Method for checking consistency of dispatching automation graph model specification - Google Patents
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Abstract
The invention provides a method for checking consistency of dispatching automation graph model specifications, which comprises the following steps: the system establishes a difference data model by carrying out difference analysis on the gallery models before and after the graph modification; performing correlation analysis on the difference data model and the actual data model; and (5) graphical alarm of abnormal model analysis. The dispatching automation graph and model specification consistency checking method can avoid manual one-by-one inspection, does not occupy a large amount of human resources, is beneficial to establishment of power data maintenance, and can ensure real-time performance and high efficiency of monitoring.
Description
Technical Field
The invention relates to a graph model checking method, in particular to a consistency checking method for dispatching automation graph model specifications.
Background
In the current environment, the correlation correctness of the model and the graph in the dispatching automation is detected manually one by one, the method is low in efficiency and occupies a large amount of human resources, dispatching and operation and maintenance personnel need to invest a large amount of energy to search and check the work, and the model is searched and compared one by contrasting a wiring diagram, so that the method is time-consuming and labor-consuming, is not beneficial to the establishment of power data maintenance, cannot ensure the real-time performance and the high efficiency of monitoring, easily omits wrong information, and causes hidden danger to the operation of a power grid.
Disclosure of Invention
The invention aims to solve the technical problems that the existing manual item-by-item checking method is low in efficiency, occupies a large amount of human resources and is not beneficial to establishment of power data maintenance.
In order to solve the technical problem, the invention provides a method for checking consistency of scheduling automation graph model specifications, which comprises the following steps:
s1, the system carries out difference analysis on a gallery model before and after graph modification to establish a difference data model;
s2, correlation analysis of the difference data model and the actual data model, which comprises the following specific steps:
s2-1, establishing a one-to-one relation between the differential data model and an actual data model according to a transformer substation-corresponding line through analysis of the differential data model, marking the graph model as graph model connection abnormity if no corresponding graph model exists, and regulating the marked graph model connection abnormity to an abnormal model;
s2-2, respectively converting the data of the difference data model and the data of the actual data model into a hierarchical table structure model;
s2-3, respectively establishing a hierarchical table structure according to the hierarchy of the region, the transformer substation, the voltage type and the line, comparing the name normalization and the consistency of the related hierarchical table structure data, and integrating to form a comparison result table;
s2-4, distinguishing two types of the coloring comparison result table which do not accord with the name standard and do not accord with the name consistency through two colors, filtering out the hierarchical table structure data which are standard and consistent in name, and regulating the filtered and colored comparison result table into an abnormal model;
s3, graphical alarm of abnormal model analysis, which comprises the following specific steps:
s3-1, analyzing the abnormal model, converting the abnormal model into a corresponding SVG (scalable vector graphics) for displaying, and identifying the abnormal type of the abnormal model, namely abnormal graph-model connection, abnormal name non-specification and abnormal name non-correspondence;
and S3-2, performing timely popup alarm on the abnormal type, and reminding operation and maintenance personnel to correct the abnormality timely.
As a further limiting solution of the present invention, in step S1, the specific steps of establishing the difference data model are:
s1-1, acquiring the xml file information of a primary wiring diagram and an SVG (scalable vector graphics) wiring diagram before current modification in a system, and also acquiring the xml file information of the modified wiring diagram and the SVG wiring diagram, wherein the two form a graph difference model of the same transformer substation;
s1-2, analyzing data information of a corresponding graph in a graph difference model through an image analysis and recognition technology, and obtaining and classifying deletion in the graph model before modification and modification or addition in the graph model after modification according to the difference part;
and S1-3, calculating graphic xml file information corresponding to the graphic difference model according to the obtained graphic region, transformer substation and line levels, and establishing a difference data model.
The invention has the beneficial effects that: the dispatching automation graph-model standard consistency checking method can avoid manual checking one by one, is high in efficiency, does not occupy a large amount of human resources, does not need to invest a large amount of energy for checking and checking by dispatching and operation and maintenance personnel, is favorable for building electric power data maintenance, can guarantee the real-time performance and the high efficiency of monitoring, and cannot cause hidden danger to the operation of a power grid.
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FIG. 1 is a schematic flow diagram of the process of the present invention;
FIG. 2 is a flowchart illustrating step S3 of the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below.
As shown in fig. 1 and fig. 2, the method for checking consistency of scheduling automation graph-model specifications disclosed by the present invention includes the following steps:
s1, the system carries out difference analysis on the gallery models before and after graph modification to establish a difference data model, wherein the specific steps of establishing the difference data model are as follows:
s1-1, acquiring the xml file information of a primary wiring diagram and an SVG (scalable vector graphics) wiring diagram before current modification in a system, and also acquiring the xml file information of the modified wiring diagram and the SVG wiring diagram, wherein the two form a graph difference model of the same transformer substation;
s1-2, analyzing data information of a corresponding graph in a graph difference model through an image analysis and recognition technology, and obtaining and classifying deletion in the graph model before modification and modification or addition in the graph model after modification according to the difference part;
s1-3, calculating graphic xml file information corresponding to the graphic difference model according to the obtained graphic area, transformer substation and line levels, and establishing a difference data model;
s2, performing correlation analysis on the difference data model and the actual data model, and specifically comprising the following steps:
s2-1, establishing a one-to-one relation between the differential data model and an actual data model according to a transformer substation-corresponding line through analysis of the differential data model, marking the graph model as graph model connection abnormity if no corresponding graph model exists, and regulating the marked graph model connection abnormity to an abnormal model;
s2-2, respectively converting the data of the difference data model and the data of the actual data model into a hierarchical table structure model;
s2-3, respectively establishing a hierarchical table structure according to the hierarchy of the region, the transformer substation, the voltage type and the line, comparing the name normalization and the consistency of the related hierarchical table structure data, and integrating to form a comparison result table;
s2-4, distinguishing two types of the coloring comparison result table which do not accord with the name standard and do not accord with the name consistency through two colors, filtering out the hierarchical table structure data which are standard and consistent in name, and regulating the filtered and colored comparison result table into an abnormal model;
s3, graphical alarm of abnormal model analysis, which comprises the following specific steps:
s3-1, analyzing the abnormal model, converting the abnormal model into a corresponding SVG (scalable vector graphics) for displaying, and identifying the abnormal type of the abnormal model, namely abnormal graph-model connection, abnormal name non-specification and abnormal name non-correspondence;
and S3-2, performing timely popup alarm on the abnormal type, and reminding operation and maintenance personnel to correct the abnormality timely.
Although the present invention has been described with reference to the preferred embodiments, it is not intended to limit the present invention, and those skilled in the art can make variations and modifications of the present invention without departing from the spirit and scope of the present invention by using the methods and technical contents disclosed above. The above description is only a preferred embodiment of the present invention, and all equivalent changes and modifications made in accordance with the claims of the present invention should be covered by the present invention.
Claims (2)
1. A method for checking consistency of dispatching automation graph-model specifications is characterized by comprising the following steps:
s1, the system carries out difference analysis on a gallery model before and after graph modification to establish a difference data model;
s2, performing correlation analysis on the difference data model and the actual data model, and specifically comprising the following steps:
s2-1, establishing a one-to-one relation between the differential data model and an actual data model according to a transformer substation-corresponding line through analysis of the differential data model, marking the differential data model as graph mode connection abnormity if the differential data model does not correspond to the actual data model, and regulating the marked graph mode connection abnormity to an abnormity model;
s2-2, respectively converting the data of the difference data model and the data of the actual data model into a hierarchical table structure model;
s2-3, respectively establishing a hierarchical table structure according to the hierarchy of the region, the transformer substation, the voltage type and the line, comparing the name normalization and the consistency of the related hierarchical table structure data, and integrating to form a comparison result table;
s2-4, distinguishing two types of non-conformity with the name standard and non-conformity with the name consistency in the coloring comparison result table through two colors, filtering out hierarchical table structure data with the name standard and consistency, and regulating the filtered and colored comparison result table into an abnormal model;
s3, graphical alarm of abnormal model analysis, which comprises the following specific steps:
s3-1, analyzing the abnormal model, converting the abnormal model into a corresponding SVG (scalable vector graphics) for displaying, and identifying the abnormal type of the abnormal model, namely abnormal graph-model connection, abnormal irregular name and abnormal non-name correspondence;
and S3-2, performing timely popup alarm on the abnormal type, and reminding operation and maintenance personnel to correct the abnormality timely.
2. The method for checking consistency of scheduling automation graph model specifications according to claim 1, wherein in the step S1, the specific steps of establishing the difference data model are as follows:
s1-1, acquiring the xml file information of a primary wiring diagram and an SVG (scalable vector graphics) wiring diagram before current modification in a system, and also acquiring the xml file information of the modified wiring diagram and the SVG wiring diagram, wherein the two form a graph difference model of the same transformer substation;
s1-2, analyzing data information of a corresponding graph in a graph difference model through an image analysis and recognition technology, and obtaining and classifying deletion in the graph model before modification and modification or addition in the graph model after modification according to the difference part;
and S1-3, calculating graphic xml file information corresponding to the graphic difference model according to the obtained graphic region, transformer substation and line levels, and establishing a difference data model.
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| CN112000831B (en) * | 2020-08-13 | 2024-04-19 | 贵州电网有限责任公司 | Abnormal data identification optimization method based on substation graph transformation |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN104682560A (en) * | 2015-02-27 | 2015-06-03 | 国家电网公司 | Graphical verifying method for power distribution network model transaction |
| CN106951556A (en) * | 2017-03-30 | 2017-07-14 | 广东电网有限责任公司中山供电局 | The consistency desired result method and system of power distribution network artwork under offline environment |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN104682560A (en) * | 2015-02-27 | 2015-06-03 | 国家电网公司 | Graphical verifying method for power distribution network model transaction |
| CN106951556A (en) * | 2017-03-30 | 2017-07-14 | 广东电网有限责任公司中山供电局 | The consistency desired result method and system of power distribution network artwork under offline environment |
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