CN115080644A - Power grid resource service middlebox and power grid information model construction method thereof - Google Patents
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Abstract
The application provides a power grid information model construction method, which comprises the following steps: establishing a plurality of data sets according to the number of the data packets, and setting a data mapping table for each data set; converting data names in a data set according to name mapping relations in the data mapping table, converting measurement units in the data set according to measurement mapping relations in the data mapping table, and converting formats of data in the data according to data format mapping relations in the data mapping table; creating a data specification table, sorting the converted data in the data set according to the data specification table, and respectively storing the data in the data set; and establishing a logic index for the standard data set according to the logic relation of the data set to generate a power grid information model. According to the method and the device, the unified processing, analysis, control and use of the power grid data are realized by unifying the data format and name and establishing the incidence relation among the data. The application also provides a power grid resource service center.
Description
Technical Field
The application requests to protect a data processing platform technology, and particularly relates to a power grid information model construction method. The application also relates to a power grid resource service center.
Background
Due to the dispersity and multi-systematicness of the power grid information, data of the power grid information cannot be processed and used uniformly. At present, a power grid information system can perform data consistency and normative transformation according to information standards of each service system, but data of each service system is communicated fundamentally to realize consistency processing, and unified processing and relevance processing cannot be performed in subsystems such as power generation, power transmission, power transformation, power distribution, power utilization and the like.
Disclosure of Invention
In order to solve the technical problems in the background art, the present application provides a power grid information model construction method. The application also relates to a power grid resource service center.
The application provides a power grid information model construction method, which comprises the following steps:
establishing a plurality of data sets according to the number of the data packets, and setting a data mapping table for each data set;
converting data names in a data set according to name mapping relations in the data mapping table, converting measurement units in the data set according to measurement mapping relations in the data mapping table, and converting formats of data in the data according to data format mapping relations in the data mapping table;
creating a data specification table, sorting the converted data in the data set according to the data specification table, and respectively storing the data in the data set;
and establishing a logic index for the standard data set according to the logic relation of the data set to generate a power grid information model.
Optionally, the data set includes:
a user data set, a device data set, a resource data set, a measurement data set, and a risk data set.
Optionally, the logical index includes: link address information;
and the link address information is stored in the index of each data, and after one data is selected, the associated data is prompted according to the link address information.
Optionally, the data mapping table includes an input end and mapping ends, and each mapping end corresponds to one or more input end data.
Optionally, the data packet includes data collected by different data sources.
The present application further provides a power grid resource service relay, including:
the data set module is used for establishing a plurality of data sets according to the number of the data packets and setting a data mapping table for each data set;
the data conversion module is used for converting data names in a data set according to name mapping relations in the data mapping table, converting metering units in the data set according to metering mapping relations in the data mapping table and converting formats of data in data according to data format mapping relations in the data mapping table;
the data specification module is used for creating a data specification table, sorting the converted data in the data set according to the data specification table, and respectively storing the data in the data set;
and the model generation module is used for establishing a logic index for the standard data set according to the logic relation of the data set to generate a power grid information model.
Optionally, the data set includes:
a user data set, a device data set, a resource data set, a measurement data set, and a risk data set.
Optionally, the logical index includes: link address information;
and the link address information is stored in the index of each data, and after one data is selected, the associated data is prompted according to the link address information.
Optionally, the data mapping table includes an input end and mapping ends, and each mapping end corresponds to one or more input end data.
Optionally, the data packet includes data collected by different data sources.
Compared with the prior art, the application has the advantages that:
the application provides a power grid information model construction method, which comprises the following steps: establishing a plurality of data sets according to the number of the data packets, and setting a data mapping table for each data set; converting data names in a data set according to name mapping relations in the data mapping table, converting measurement units in the data set according to measurement mapping relations in the data mapping table, and converting formats of data in the data according to data format mapping relations in the data mapping table; creating a data specification table, sorting the converted data in the data set according to the data specification table, and respectively storing the data in the data set; and establishing a logic index for the standard data set according to the logic relation of the data set to generate a power grid information model. According to the method and the device, the unified processing, analysis, control and use of the power grid data are realized by unifying the data format and name and establishing the incidence relation among the data.
Drawings
Fig. 1 is a flow chart of a power grid information model construction in the present application.
Fig. 2 is a schematic diagram of a data mapping table in the present application.
Fig. 3 is a schematic diagram of a power grid resource service center in the present application.
Detailed Description
The following is an example of a specific implementation process provided for explaining the technical solutions to be protected in the present application in detail, but the present application may also be implemented in other ways than those described herein, and a person skilled in the art may implement the present application by using different technical means under the guidance of the idea of the present application, so that the present application is not limited by the following specific embodiments.
The application provides a power grid information model construction method, which comprises the following steps: establishing a plurality of data sets according to the number of the data packets, and setting a data mapping table for each data set; converting data names in a data set according to name mapping relations in the data mapping table, converting measurement units in the data set according to measurement mapping relations in the data mapping table, and converting formats of data in the data according to data format mapping relations in the data mapping table; creating a data specification table, sorting the converted data in the data set according to the data specification table, and respectively storing the data in the data set; and establishing a logic index for the standard data set according to the logic relation of the data set to generate a power grid information model. According to the method and the device, the unified processing, analysis, control and use of the power grid data are realized by unifying the data format and name and establishing the incidence relation among the data.
Fig. 1 is a flowchart of a power grid information model construction process in the present application.
Referring to fig. 1, S101 establishes a plurality of data sets according to the number of data packets, and sets a data mapping table for each data set.
The data packets include data collected from different data sources and data acquired from different systems, such as user data sets, device data sets, resource data sets, measurement data sets, and risk data sets. Wherein the format, name, etc. of the data in different data packets may be the same or different. Acquiring data packets in different systems, and establishing corresponding data sets according to the data packets, wherein the data sets are respectively stored in a specific memory area.
The data in each dataset has consistency in that dataset, including consistency in format, name, and units of measure.
After the data set is stored in a specific storage area, establishing a data mapping table according to the data set, wherein the data mapping table respectively comprises: the system comprises a name mapping sub-table, a format mapping sub-table and a measurement unit mapping sub-table.
The data mapping table comprises input ends and mapping ends, wherein each mapping end corresponds to one or more input end data and the mapping relation between the input end data and the output end data. For example, one datum includes: after a data is input into the data mapping table, decoding is carried out according to the coding format of the data at the input end to obtain the data name, the data value and the unit of the data value, then the data name is modified into the name of the data at the output end according to the mapping relation of the data mapping table, the data value is modified into the output data value according to the unit conversion rule, and then the data unit is modified into the output data unit.
Referring to fig. 1, S102 converts a data name in a data set according to a name mapping relationship in the data mapping table, converts a measurement unit in the data set according to a measurement mapping relationship in the data mapping table, and converts a format of data in the data according to a data format mapping relationship in the data mapping table.
The data of the output end of the data mapping table is determined according to a total platform system, the total platform system is used for collecting, displaying and controlling each data packet, and the total platform system adopts data in a uniform format for operation. The output data is the data of the unified format of the overall system platform.
Fig. 2 is a schematic diagram of a data mapping table in the present application.
Referring to fig. 2, after receiving data set data, the data mapping table converts data names in the data set according to name mapping relationships in the data mapping table, converts measurement units in the data set according to measurement mapping relationships in the data mapping table, and converts formats of data in the data according to data format mapping relationships in the data mapping table. At the moment, a modification data set corresponding to each data is established in another specific area of the memory, and the data in the data set is converted and stored in the modification data set.
And the name mapping sublist, the format mapping sublist and the measurement unit mapping sublist of the data mapping table respectively acquire different data segments of one piece of data in the data set for mapping. Before this, each piece of data in the data set is subjected to a data mapping table, and after decoding, the data segment is split and the same label is given, so that the data combination is performed after the mapping is completed.
Referring to fig. 1, S103 creates a data specification table, sorts the converted data in the data set according to the data specification table, and stores the sorted data in the specification data set.
The data specification table is established according to the requirements of a total system platform, and after data are extracted from the modified data set, the data specification is carried out according to the data specification table, and the data specification table comprises the following steps: and filling in the data required in the data specification table, and deleting the data not required by the data specification table.
Each data is unified according to the data specification table and then stored into a specification data set, which is a data storage area established in a specific area of a memory.
Referring to fig. 1, S104 establishes a logical index for the normative data set according to the logical relationship of the data set, and generates a power grid information model.
The logical index also includes an association relationship between data, and the index includes two types, which are a sequential relationship and a parallel relationship, respectively.
The sequential relation refers to the sequential relation among equipment for generating, transmitting, transforming, distributing and consuming power in a power grid.
Wherein F, S, B, P, Y represents the data of power generation, power transmission, transformation, power distribution and power utilization on one sequential chain, and n, m, u, v and c represent the number of power generation, power transmission, transformation, power distribution and power utilization nodes.
In the application, based on the power grid information model and unified information data, power grid information matching can be performed, including fault link retrieval, in the following manner:
firstly, searching power utilization fault data, wherein the power utilization fault data are data of electric equipment, when the power transmission link fails, the electric equipment stops, and at the moment, a fault occurrence position can be directly derived.
And secondly, acquiring a link label of the power grid of the electric equipment, connecting node labels above each node in series according to the sequence relation by the link label, and adding a local node label as the link label.
Finally, the calculation is carried out according to the following expression:
grouping the electric equipment into two groups, and calculating each group as follows:
A(i，j)＝((L i -L j i-j), a (i), a (j)) finally gives a max (i，j)。
In the above formula, a (i, j) is a set i and j of each node label in the link of each group of electric devices; said L i 、L j A node tag representing a powered device; a (i) and A (j) are respectively the link where each electric device is located, and the link conforms to (L) i -L j A label for each node of i-j); a. the max (i, j) represents the last node of the two consumers at the common node of the link.
After selecting A max (i, j) and (ii) determining that A is max (i, j) if the power failure occurs, if so, A max (i, j) repeating the above calculations at the link node with other common nodes until the selected node is powered.
At this time, it is judged that the node of the next stage of the live node transmits a failure.
Therefore, the power grid information model can directly obtain fault nodes through system calculation when power utilization faults occur, and manual troubleshooting is not needed.
In the present application, each of the nodes has a unique identifier, the association relationship, and a node identifier that is upstream and downstream of a node where a piece of data is located in the piece of data.
The parallel relationship refers to that, for example, if a plurality of power transmission nodes are simultaneously connected to the same power generation node, the power transmission nodes have a parallel relationship, and the parallel relationship can be determined according to an upstream node of the power transmission nodes.
The logical index further includes link address information, where the link address information refers to each data of each data packet node, and upstream and downstream data of the node can be found according to the link address information. Specifically, the logical index is stored in each corresponding specification dataset.
Preferably, after an item of data is selected, the associated data is prompted according to the link address information.
The present application further provides a power grid resource service relay, including: a data set module 101, a data conversion module 102, a data specification module 103, and a model generation module 104.
Fig. 3 is a schematic diagram of a power grid resource service center in the present application.
Referring to fig. 3, the data set module 101 is configured to establish a plurality of data sets according to the number of data packets, and set a data mapping table for each data set.
The data packets include data collected from different data sources and data acquired from different systems, such as user data sets, device data sets, resource data sets, measurement data sets, and risk data sets. Wherein the format, name, etc. of the data in different data packets may be the same or different. Acquiring data packets in different systems, and establishing corresponding data sets according to the data packets, wherein the data sets are respectively stored in a specific memory area.
The data in each dataset has consistency in that dataset, including consistency in format, name, and units of measure.
After the data set is stored in a specific storage area, establishing a data mapping table according to the data set, wherein the data mapping table respectively comprises: the system comprises a name mapping sub-table, a format mapping sub-table and a measurement unit mapping sub-table.
The data mapping table comprises input ends and mapping ends, wherein each mapping end corresponds to one or more input end data and the mapping relation between the input end data and the output end data. For example, one datum includes: after a data is input into the data mapping table, decoding is carried out according to the coding format of the input end data to obtain the data name, the data value and the data value unit, then the data name is modified into the name of the output end data according to the mapping relation of the data mapping table, the data value is modified into the output data value according to a unit conversion rule, and then the data unit is modified into the output data unit.
Referring to fig. 3, the data conversion module 302 is configured to convert a data name in a data set according to a name mapping relationship in the data mapping table, convert a measurement unit in the data set according to a measurement mapping relationship in the data mapping table, and convert a format of data in the data according to a data format mapping relationship in the data mapping table.
The data of the output end of the data mapping table is determined according to a total platform system, the total platform system is used for collecting, displaying and controlling each data packet, and the total platform system adopts data in a uniform format for operation. The output data is the data of the unified format of the overall system platform.
Referring to fig. 2, after receiving data of a data set, the data mapping table converts names of data in the data set according to name mapping relationships in the data mapping table, converts measurement units in the data set according to measurement mapping relationships in the data mapping table, and converts formats of data in the data according to data format mapping relationships in the data mapping table. At the moment, a modification data set corresponding to each data is established in another specific area of the memory, and the data in the data set is converted and stored in the modification data set.
And the name mapping sublist, the format mapping sublist and the measurement unit mapping sublist of the data mapping table respectively acquire different data segments of one piece of data in the data set for mapping. Before this, each piece of data in the data set is subjected to a data mapping table, and after decoding, the data segment is split and the same label is given, so that the data combination is performed after the mapping is completed.
Referring to fig. 3, the data specification module 303 is configured to create a data specification table, sort the converted data in the data set according to the data specification table, and store the sorted data in the specified data set respectively.
The data specification table is established according to the requirements of a total system platform, and after data are extracted from the modified data set, the data specification is carried out according to the data specification table, and the data specification table comprises the following steps: and filling in the data required in the data specification table, and deleting the data not required by the data specification table.
Each data is unified according to the data specification table and then stored into a specification data set, which is a data storage area established in a specific area of a memory.
Referring to fig. 3, the model generating module 304 is configured to establish a logical index for the normative dataset according to the logical relationship of the datasets, and generate a power grid information model.
The sequential relation refers to the relation among equipment for generating, transmitting, transforming, distributing and consuming power in a power grid.
Wherein F, S, B, P, Y represents the data of power generation, power transmission, transformation, power distribution and power utilization on one sequential chain, and n, m, u, v and c represent the number of power generation, power transmission, transformation, power distribution and power utilization nodes.
In the application, based on the power grid information model and unified information data, power grid information matching can be performed, including fault link retrieval, in the following manner:
firstly, searching power utilization fault data, wherein the power utilization fault data are data of electric equipment, when the power transmission link fails, the electric equipment stops, and at the moment, a fault occurrence position can be directly derived.
And secondly, acquiring a link label of the power grid of the electric equipment, connecting the node labels above each node in series according to the sequence relation by using the link label, and adding a local node label as the link label.
And finally, calculating according to the following expression:
grouping the electric equipment into two groups, and calculating each group as follows:
A(i，j)＝((L i -L j i-j), a (i), a (j)) finally gives a max (i，j)。
In the above formula, a (i, j) is a set i and j of each node label in each group of links of the electric devices; said L i 、L j A node tag representing an electrical device; a (i) and A (j) are respectively the link where each electric device is located, and the link conforms to (L) i -L j A label for each node of i-j); a. the max (i, j) represents the last node of the two consumers at the common node of the link.
After selecting A max (i, j) and (ii) determining that A is max (i, j) if the power failure occurs, if so, A max (i, j) repeating the above calculations at the link node with other common nodes until the selected node is powered.
At this time, it is judged that the node of the next stage of the live node transmits a failure.
Therefore, the power grid information model can directly obtain fault nodes through system calculation when power utilization faults occur, and manual troubleshooting is not needed.
In the present application, each of the nodes has a unique identifier, the association relationship, and a node identifier that is upstream and downstream of a node where a piece of data is located in the piece of data.
The parallel relationship refers to that, for example, if a plurality of power transmission nodes are simultaneously connected to the same power generation node, the power transmission nodes have a parallel relationship, and the parallel relationship can be determined according to an upstream node of the power transmission nodes.
The logical index further includes link address information, where the link address information refers to each data of each data packet node, and upstream and downstream data of the node can be found according to the link address information. Specifically, the logical index is stored in each corresponding specification dataset.
Preferably, after an item of data is selected, the associated data is prompted according to the link address information.
Claims (10)
1. A power grid information model construction method is characterized by comprising the following steps:
establishing a plurality of data sets according to the number of the data packets, and setting a data mapping table for each data set;
converting data names in a data set according to name mapping relations in the data mapping table, converting measurement units in the data set according to measurement mapping relations in the data mapping table, and converting formats of data in the data according to data format mapping relations in the data mapping table;
creating a data specification table, sorting the converted data in the data set according to the data specification table, and respectively storing the data in the data set;
and establishing a logic index for the standard data set according to the logic relation of the data set to generate a power grid information model.
2. The grid information model building method according to claim 1, wherein the data set comprises:
a user data set, a device data set, a resource data set, a measurement data set, and a risk data set.
3. The grid information model building method according to claim 1, wherein the logical index comprises: link address information;
and the link address information is stored in the index of each data, and after one data is selected, the associated data is prompted according to the link address information.
4. The method for constructing a power grid information model according to claim 1, wherein the data mapping table includes input terminals and mapping terminals, and each mapping terminal is correspondingly provided with one or more input terminal data.
5. The method for constructing the power grid information model according to claim 1, wherein the data packets comprise data collected from different data sources.
6. A grid resource service center, comprising:
the data set module is used for establishing a plurality of data sets according to the number of the data packets and setting a data mapping table for each data set;
the data conversion module is used for converting data names in a data set according to name mapping relations in the data mapping table, converting metering units in the data set according to metering mapping relations in the data mapping table and converting formats of data in data according to data format mapping relations in the data mapping table;
the data specification module is used for creating a data specification table, sorting the converted data in the data set according to the data specification table, and respectively storing the data in the data set;
and the model generation module is used for establishing a logic index for the standard data set according to the logic relation of the data set to generate a power grid information model.
7. The grid resource service center of claim 6, wherein the data set comprises:
a user data set, a device data set, a resource data set, a measurement data set, and a risk data set.
8. The grid resource service center of claim 6, wherein the logical index comprises: link address information;
and the link address information is stored in the index of each data, and after one data is selected, the associated data is prompted according to the link address information.
9. The grid resource service center station according to claim 6, wherein the data mapping table comprises input terminals and mapping terminals, and each mapping terminal is correspondingly provided with one or more input terminal data.
10. The grid resource service center as claimed in claim 6, wherein the data packets comprise data collected from different data sources.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116842021A (en) * | 2023-07-14 | 2023-10-03 | 恩核(北京)信息技术有限公司 | Data dictionary standardization method, equipment and medium based on AI generation technology |
| CN116842021B (en) * | 2023-07-14 | 2024-04-26 | 恩核(北京)信息技术有限公司 | Data dictionary standardization method, equipment and medium based on AI generation technology |
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