CN111597365A - Transformer substation SVG graph and model association checking method based on primitive characteristic attributes - Google Patents
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Abstract
The invention discloses a transformer substation SVG graph and model association checking method based on primitive characteristic attributes, which is characterized in that a primitive characteristic value associated with a model can be obtained through SVG equipment primitive characteristic attributes, and the corresponding association relation check of the pattern characteristic attributes is carried out according to the extracted SVG primitive characteristic value and the pattern characteristic attribute mapping rule, so that the transformer substation SVG equipment primitive and power grid equipment model association checking is realized.
Description
Technical Field
The invention relates to the technical field of real-time monitoring of a transformer substation, in particular to a transformer substation SVG graph and model association verification method based on primitive characteristic attributes.
Background
At present, a national power grid company accelerates the big data development and application of a smart power grid, in order to ensure the safe and stable operation of a transformer substation, the operation condition of the transformer substation needs to be comprehensively and visually monitored in real time, the transformer substation graph needs to be associated with real-time model data in the real-time monitoring of the transformer substation, and transformer substation graph files in many areas are in an SVG format and are not uniform graphs normalized by power G graphs, so that the association check of the transformer substation SVG graph and the model is relatively heavy and difficult work.
At present, related technical researches on verification of transformer substation graphs and models are realized according to a power G graph standard, and after graph standard adaptation is carried out in advance, graph and model association verification is realized based on the G graph standard. According to the technical method, the electric power G graph specification needs to be deeply known, the graph and model association verification can be carried out only by carrying out specification processing on the graph file in advance, the scheme is complex, the research and development period is long, and the efficiency is low.
Disclosure of Invention
In order to make up for the defects of the prior art, the invention provides the transformer substation SVG graph and model association verification method based on the primitive feature attributes, which has the advantages of simple scheme, convenience in use, short development period and high working efficiency.
The invention is realized by the following technical scheme:
the invention discloses a transformer substation SVG graph and model association checking method based on primitive characteristic attributes, which is characterized by comprising the following steps: the system comprises the following modules which are sequentially executed: the SVG graphic element correlation verification system comprises an SVG graphic element characteristic attribute module, a graphic characteristic data and model data storage module, a graphic characteristic attribute data reading module, an SVG equipment graphic element and model correlation characteristic value extraction module, a graphic model characteristic attribute mapping module, a graphic model characteristic attribute corresponding correlation verification module and a graphic model correlation verification result output module; the SVG graphic data of the transformer substation execute a module for acquiring SVG primitive feature attributes, then execute a graphic feature data and model data storage module, and the power grid equipment model data execute the graphic feature data and model data storage module.
The invention relates to a transformer substation SVG graph and model association checking method based on primitive characteristic attributes, which comprises the following steps: (1) obtaining SVG equipment graphic primitive characteristic attributes, (2) storing graphic characteristic data and power grid equipment model data, (3) reading graphic characteristic attribute data, (4) extracting SVG equipment graphic primitive and model association characteristic values, (5) mapping graph mode characteristic attributes, (6) correspondingly associating and checking the graph mode characteristic attributes, and (7) outputting graph mode association checking results.
The invention relates to a transformer substation SVG graph and model association checking method based on primitive characteristic attributes, which comprises the following steps of:
(1) obtaining SVG graphic primitive characteristic attributes: and traversing the transformer substation SVG graphic file primitive attribute data, and acquiring the description data URI and the equipment type ID of the primitive equipment type CLASS attribute data, and the equipment primitive identification data RESOURECEID, ObjectID and equipment type ID.
(2) Storing the graphic characteristic data and the model data: storing the primitive feature data extracted in the last step into a database URI _ RESOURECEID table according to the primitive corresponding relation, storing equipment type CLASS attribute data description data URI into a URI field, storing equipment type ID into the RESOURECEID field, adding a special identification ID into the CLASSID field, and storing the equipment primitive identification data RESOURECEID, ObjectID and equipment type ID into the RESOURECEID field, the URI field and the CLASSID respectively. And simultaneously reading the power grid model data, and storing key attribute data such as the ID, description and the like of the power grid equipment model according to equipment classification.
(3) Reading the graphic characteristic attribute data: and after the processing of the graph and the model characteristic data is finished, performing association verification on the equipment primitive and the power grid equipment model, reading the equipment primitive objectID in the current transformer substation SVG graph, and then searching a URI record consistent with the equipment primitive objectID in a primitive characteristic attribute database URI _ RESOURECEID table.
(4) Extracting the associated characteristic values of the SVG equipment graphics primitives and the model: and after the URI record corresponding to the equipment primitive is found in the URI _ RESOURECEID table, obtaining the found RESOURECEID of the record and storing the RESOURECEID into a program cache.
(5) Mapping the graph model characteristic attribute: and after the URI record corresponding to the equipment primitive is found in the URI _ RESOURECEID table, obtaining CLASSID of the found record, then searching the RESOURCE _ ID record equal to the CLASSID from the URI _ RESOURECEID table, obtaining the URI field of the found record, and storing the URI field into a program cache.
(6) And (3) checking the corresponding correlation of the graph model characteristic attribute: and searching the power grid equipment model table in the database, wherein the power grid equipment model table is consistent with the equipment type description in the URI field, and the equipment ID is consistent with the RESOURECEID cached in the fourth step.
(7) And (3) outputting a graph model correlation checking result: and outputting the search result in the previous step, searching the ID of the corresponding power grid model equipment, wherein the association relation is correct, the condition that the ID of the corresponding power grid model equipment cannot be searched indicates that the equipment primitive has no corresponding record, and outputting the ObjectID, the description information, the verification result information and the total station verification result statistical information of the corresponding equipment primitive so as to facilitate the processing of a worker aiming at the verification result.
The method has the advantages that for the association check of the graph and the transformer substation equipment model, the association check of the transformer substation SVG graph and the model can be realized directly through the association relation between the SVG equipment primitive and the model characteristic attribute without knowing the electric power G graph specification and carrying out graph normalized adaptation processing in advance, the scheme is simple and easy to implement, the efficiency is high, and the problem existing in the technical scheme for realizing the association check of the graph and the model based on the G graph specification is well solved.
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Detailed Description
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The invention discloses a transformer substation SVG graph and model association checking method based on primitive characteristic attributes, which comprises the following modules sequentially executed in sequence: the SVG graphic element correlation verification system comprises an SVG graphic element characteristic attribute module, a graphic characteristic data and model data storage module, a graphic characteristic attribute data reading module, an SVG equipment graphic element and model correlation characteristic value extraction module, a graphic model characteristic attribute mapping module, a graphic model characteristic attribute corresponding correlation verification module and a graphic model correlation verification result output module; the SVG graphic data of the transformer substation execute a module for acquiring SVG primitive feature attributes, then execute a graphic feature data and model data storage module, and the power grid equipment model data execute the graphic feature data and model data storage module.
The invention relates to a transformer substation SVG graph and model association checking method based on primitive characteristic attributes, which comprises the following steps: (1) obtaining SVG equipment graphic primitive characteristic attributes, (2) storing graphic characteristic data and power grid equipment model data, (3) reading graphic characteristic attribute data, (4) extracting SVG equipment graphic primitive and model association characteristic values, (5) mapping graph mode characteristic attributes, (6) correspondingly associating and checking the graph mode characteristic attributes, and (7) outputting graph mode association checking results.
The invention relates to a transformer substation SVG graph and model association checking method based on primitive characteristic attributes, which comprises the following steps of:
(1) the module for acquiring the feature attributes of the SVG primitives comprises: and traversing the transformer substation SVG graphic file primitive attribute data, and acquiring the description data URI and the equipment type ID of the primitive equipment type CLASS attribute data, and the equipment primitive identification data RESOURECEID, ObjectID and equipment type ID.
Extracted here is attribute data associated with the substation equipment primitives and the equipment models.
(2) The graphic characteristic data and model data storage module: storing the primitive feature data extracted in the last step into a database URI _ RESOURECEID table according to the primitive corresponding relation, storing equipment type CLASS attribute data description data URI into a URI field, storing equipment type ID into the RESOURECEID field, adding a special identification ID into the CLASSID field, and storing the equipment primitive identification data RESOURECEID, ObjectID and equipment type ID into the RESOURECEID field, the URI field and the CLASSID respectively. And simultaneously reading the power grid model data, and storing key attribute data such as the ID, description and the like of the power grid equipment model according to equipment classification.
The method comprises the steps of extracting attribute data associated with substation equipment primitives and equipment models, and storing equipment primitive relation data into a database.
(3) A reading graphic characteristic attribute data module: and after the graph model characteristic data is processed, performing association verification on the equipment graphics primitive and the power grid equipment model, reading the equipment graphics primitive objectID in the current transformer substation SVG graph, and searching a URI record consistent with the equipment graphics primitive objectID in a graphics primitive characteristic attribute database URI _ RESOURECEID table.
(4) SVG equipment primitive and model correlation characteristic value extraction module: and after the URI record corresponding to the equipment primitive is found in the URI _ RESOURECEID table, obtaining the found RESOURECEID of the record and storing the RESOURECEID into a program cache.
(5) The graph model characteristic attribute mapping module: and after the URI record corresponding to the equipment primitive is found in the URI _ RESOURECEID table, obtaining CLASSID of the found record, then searching the RESOURCE _ ID record equal to the CLASSID from the URI _ RESOURECEID table, obtaining the URI field of the found record, and storing the URI field into a program cache.
(6) The graph model characteristic attribute corresponding correlation checking module: and searching the power grid equipment model table in the database, wherein the power grid equipment model table is consistent with the equipment type description in the URI field, and the equipment ID is consistent with the RESOURECEID cached in the fourth step.
And 3-6, traversing the equipment primitive data, extracting the equipment model type and the equipment id corresponding to the equipment primitive according to the associated data relation between the equipment primitive and the equipment model stored in the database, and checking.
(7) A graph model correlation check result output module: and outputting the search result in the previous step, searching the ID of the corresponding power grid model equipment, wherein the association relation is correct, the condition that the ID of the corresponding power grid model equipment cannot be searched indicates that the equipment primitive has no corresponding record, and outputting the ObjectID, the description information, the verification result information and the total station verification result statistical information of the corresponding equipment primitive so as to facilitate the processing of a worker aiming at the verification result.
According to the transformer substation SVG graphic and model association checking method based on the primitive characteristic attributes, an association relation can be established between the SVG device primitive characteristic attributes and a power grid device model, the primitive characteristic values associated with the model can be obtained through the SVG device primitive characteristic attributes, and the association relation corresponding to the pattern characteristic attributes is checked according to the extracted SVG primitive characteristic values and the pattern characteristic attribute mapping rules, so that the transformer substation SVG device primitive and power grid device model association checking is realized.
Claims (9)
1. A transformer substation SVG graph and model association checking method based on primitive characteristic attributes is characterized in that: the system comprises the following modules which are sequentially executed: the SVG graphic element correlation verification system comprises an SVG graphic element characteristic attribute module, a graphic characteristic data and model data storage module, a graphic characteristic attribute data reading module, an SVG equipment graphic element and model correlation characteristic value extraction module, a graphic model characteristic attribute mapping module, a graphic model characteristic attribute corresponding correlation verification module and a graphic model correlation verification result output module; the SVG graphic data of the transformer substation execute a module for acquiring SVG primitive feature attributes, then execute a graphic feature data and model data storage module, and the power grid equipment model data execute the graphic feature data and model data storage module.
2. The substation SVG graphic and model association checking method based on primitive feature attributes according to claim 1, characterized in that: the method comprises the following steps: (1) obtaining SVG equipment graphic primitive characteristic attributes, (2) storing graphic characteristic data and power grid equipment model data, (3) reading graphic characteristic attribute data, (4) extracting SVG equipment graphic primitive and model association characteristic values, (5) mapping graph mode characteristic attributes, (6) correspondingly associating and checking the graph mode characteristic attributes, and (7) outputting graph mode association checking results.
3. The substation SVG graphic and model association checking method based on primitive feature attributes according to claim 1 or 2, characterized in that: the detailed execution steps of the module are as follows: (1) obtaining SVG graphic primitive characteristic attributes: and traversing the transformer substation SVG graphic file primitive attribute data, and acquiring the description data URI and the equipment type ID of the primitive equipment type CLASS attribute data, and the equipment primitive identification data RESOURECEID, ObjectID and equipment type ID.
4. The substation SVG graphic and model association checking method based on primitive feature attributes according to claim 1 or 2, characterized in that: the detailed execution steps of the module are as follows: (2) storing the graphic characteristic data and the model data: storing the primitive feature data extracted in the last step into a database URI _ RESOURECEID table according to the primitive corresponding relation, storing equipment type CLASS attribute data description data URI into a URI field, storing equipment type ID into the RESOURECEID field, adding a special identification ID into the CLASSID field, and respectively storing the equipment primitive identification data RESOURECEID, ObjectID and equipment type ID into the RESOURECEID field, the URI field and CLASSID; and simultaneously reading the power grid model data, and storing key attribute data such as the ID, description and the like of the power grid equipment model according to equipment classification.
5. The substation SVG graphic and model association checking method based on primitive feature attributes according to claim 1 or 2, characterized in that: the detailed execution steps of the module are as follows: (3) reading the graphic characteristic attribute data: and after the processing of the graph and the model characteristic data is finished, performing association verification on the equipment primitive and the power grid equipment model, reading the equipment primitive objectID in the current transformer substation SVG graph, and then searching a URI record consistent with the equipment primitive objectID in a primitive characteristic attribute database URI _ RESOURECEID table.
6. The substation SVG graphic and model association checking method based on primitive feature attributes according to claim 1 or 2, characterized in that: the detailed execution steps of the module are as follows: (4) extracting the associated characteristic values of the SVG equipment graphics primitives and the model: and after the URI record corresponding to the equipment primitive is found in the URI _ RESOURECEID table, obtaining the found RESOURECEID of the record and storing the RESOURECEID into a program cache.
7. The substation SVG graphic and model association checking method based on primitive feature attributes according to claim 1 or 2, characterized in that: the detailed execution steps of the module are as follows: (5) mapping the graph model characteristic attribute: and after the URI record corresponding to the equipment primitive is found in the URI _ RESOURECEID table, obtaining CLASSID of the found record, then searching the RESOURCE _ ID record equal to the CLASSID from the URI _ RESOURECEID table, obtaining the URI field of the found record, and storing the URI field into a program cache.
8. The substation SVG graphic and model association checking method based on primitive feature attributes according to claim 1 or 2, characterized in that: the detailed execution steps of the module are as follows: (6) and (3) checking the corresponding correlation of the graph model characteristic attribute: and searching the power grid equipment model table in the database, wherein the power grid equipment model table is consistent with the equipment type description in the URI field, and the equipment ID is consistent with the RESOURECEID cached in the fourth step.
9. The substation SVG graphic and model association checking method based on primitive feature attributes according to claim 1 or 2, characterized in that: the detailed execution steps of the module are as follows: (7) and (3) outputting a graph model correlation checking result: and outputting the search result in the previous step, searching the ID of the corresponding power grid model equipment, wherein the association relation is correct, the condition that the ID of the corresponding power grid model equipment cannot be searched indicates that the equipment primitive has no corresponding record, and outputting the ObjectID, the description information, the verification result information and the total station verification result statistical information of the corresponding equipment primitive so as to facilitate the processing of a worker aiming at the verification result.
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