Method and device for compiling overplanned power utilization and power limiting sequence table

[0058] The embodiments of the present invention provide a method and a device for compiling a sequence bit table of unplanned power consumption and power limit. Compile the over-scheduled power limit electric sequence bit table.

[0059] In order to make the purpose, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the following The described embodiments are only some, but not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0060] see figure 1 , figure 1 It is a flow chart of the steps of Embodiment 1 of a method for compiling an over-planned power-limiting sequence bit table according to the present invention, which may specifically include the following steps:

[0061] Step S101, parsing the graph pattern data of the distribution network data to be analyzed to obtain corresponding graph pattern parameters; the graph pattern data is obtained from a preset equipment center; the graph pattern parameters are used to construct a target database;

[0062] Step S102, obtaining the transformer information of all the transformers from the power data system, and identifying all the transformers in combination with the preset keywords to obtain the identification result and the target transformer data; the identification result is the generation basis of the target transformer data;

[0063] Step S103, obtaining equipment topology relationship information from the target database, and combining the target transformer data to generate transformer switch data;

[0064] Step S104, based on the transformer switching data, determine a power sequence bit table of unplanned power consumption limits.

[0065] In the embodiment of the present invention, the corresponding graph model parameters are obtained by parsing the graph model data of the distribution network data to be analyzed; the graph model data is obtained from a preset equipment center; the graph model parameters are used to construct a target database; Obtain the transformer information of all transformers in the data system, identify all the transformers in combination with preset keywords, and obtain the identification result and target transformer data; the identification result is the generation basis of the target transformer data; Obtained from the target database The equipment topology relationship information is combined with the target transformer data to generate transformer switch data; based on the transformer switch data, an over-planned power consumption limit power sequence bit table is determined. Under the circumstance that the transformer with the preset keyword is not connected to the unplanned power consumption line through the identification result, the power sequence bit table of the unplanned power consumption limit is automatically compiled.

[0066] see figure 2 , is a flow chart of the steps of Embodiment 2 of a method for compiling an over-planned power-limiting sequence bit table of the present invention, which specifically includes:

[0067] Step S201, parsing the graph pattern data of the distribution network data to be analyzed to obtain corresponding graph pattern parameters; the graph pattern data is obtained from a preset equipment center; the graph pattern parameters are used to construct a target database;

[0068] In an optional embodiment, the graph model data includes: connection point model data and equipment model data; graph model parameters include: equipment parameters and connection parameters; parse the graph model file of the distribution network data to be analyzed to obtain the corresponding graph model File parameters, including:

[0069] Export the CIM file from the pattern file according to the preset CIM export rules;

[0070] Use the preset CIM structure model to parse the CIM file, and obtain the equipment parameters corresponding to the equipment model data and the connection parameters corresponding to the connection point model data;

[0071] The target database is constructed using CIM files, equipment parameters and connection point parameters.

[0072] In the embodiment of the present invention, the GIS pattern data is obtained from the distribution network to be analyzed, and the file data includes the detailed information of the equipment of the 10kV line, the connection topology relationship between the equipment, and the user number of the equipment. According to the preset CIM export rules, the CIM file is exported from the drawing model data, and then the prefabricated CIM structure template is used to parse the CIM file, so as to obtain the equipment parameters corresponding to the equipment model data and the connection parameters corresponding to the connection point model data. Furthermore, the CIM file, equipment parameters and connection point parameters are used as the data base for the target database. For the target database, it includes the sorted transformer information table, switch information table, line conductor information table and other tables, and after analyzing the connection relationship of various devices, the topological relationship information of the device is obtained.

[0073] In the specific implementation, the device parameters corresponding to the device model data and the connection parameters corresponding to the connection point model data, relative to the element code of the CIM file, include the element category label of the CIM file (transformers, cables and other equipment or diagram model connection points) detailed description item.

[0074] It should be noted that GIS refers to Geographic Information System (GIS), which is a collection of data related to geographic distribution in the entire or part of the earth's surface (including the atmosphere) space under the support of computer hardware and software systems. A technical system for storing, managing, computing, analyzing, displaying and describing. It has powerful spatial information analysis and spatial topology modeling capabilities, which makes it based on natural advantages in the application of distribution network topology analysis.

[0075] CIM (Conmmin Information Model, Common Information Model) is a conceptual model for describing management information based on the ICE61970/IEC61968 standard, which can provide standards and applications for information inheritance and interactive contribution between store management systems. In fact, an implementation-independent model for describing management information and conceptual models. CIM is divided into two parts: CIM Specification (CIM Specification) and CIM Schema (CIM Schema). The CIM specification provides a formal definition of the model, which describes the language, naming, meta-schema, and mapping techniques to other management models (such as SNMP MIB); the CIM schema provides a description of the actual model. The CIM model consists of three layers: the core model, the public model and the extended model. The core model is a collection of classes, connections, and properties. This group of objects provides a basic information model common to all management domains: the common model provides a general information model for specific management domains, such as systems, applications, Networks and devices, etc.; the extension model represents a specific technology extension of the general model.

[0076] Through CIM modeling, it is possible to obtain the representation and representation of entities in the management domain, including their attributes, operations and relationships. Such models are independent of any specific database, application, protocol, and platform. Therefore, the CIM model requires applications based on different platforms provided by different developers to use a standard format to describe management data, so that the data can be shared among multiple applications. CIM adopts an object-oriented approach to construct a new structure and conceptual model suitable for management systems and networks. CIM modeling is a general method. The CIM modeling of a specific management domain is an extension of the core model and the common model.

[0077] Step S202, crawling the user information and metering point information of all the transformers from the power data system;

[0078] In the embodiment of the present invention, the user information and metering point information in the power data system are crawled through the network crawler technology.

[0079] It should be noted that a web crawler is a program or script that automatically grabs information according to certain rules.

[0080] In the specific implementation, when crawling the power data system for the first time, it takes a long time to derive the overall user information and metering point information. The system crawls the parts of user information and metering point information that may change.

[0081] Step S203, sequentially detecting whether the user information of the transformer contains the preset user information keyword, and whether the metering point information of the transformer contains the preset metering point information keyword, and obtain the identification result;

[0082] Step S204, generating target data with keywords and target data without keywords according to the identification results;

[0083] In the embodiment of the present invention, the preset user information keywords are specifically user information “four guarantees” keywords, including electricity category keywords: “residential life”, “agricultural production” and “agricultural drainage and irrigation”; customer grouping keywords : "resident customers", "important customers", "focus customers".

[0084] The preset metering point information keywords are specifically the "four guarantees" keywords of the metering point information, including the electricity consumption categories of the metering points: "residential life", "agricultural production", "agricultural drainage and irrigation";

[0085] Industry classification of metering points: "electricity, heat production and supply industry", "agriculture", "railway transportation industry", "forestry", "gas production and supply industry", "water conservancy, environment and public facilities management industry", "residential" Services, repairs and other services", "water transport", "education, culture, sports and entertainment", "pipeline transport", "agriculture, forestry, animal husbandry, fishery and auxiliary activities", "sanitation and Social Work”, “Urban Residents” and “Rural Residents”.

[0086] The user information can be associated with the transformer, so as to determine whether the transformer belongs to the "four-guarantee" transformer in turn, and then obtain the non-"four-guarantee" transformer data containing the user number information, and the "four-guarantee" transformer data.

[0087]In a specific implementation, if any of the above "four guarantees" keywords exist in the user information, the transformer is marked as a "four guarantees" transformer; if any of the above "four guarantees" keywords exist in the metering point information, the transformer is marked as "Four-guarantee" transformers, and the transformers that are not "four-guarantee" transformers are marked as non-"four-guarantee" transformers, and then according to the marked "four-guarantee" transformers and non-"four-guarantee" transformers, it is determined to contain the user number. The non-"four guarantees" transformer data of the information, that is, the target data without keywords, and the "four guarantees" transformer data, that is, the target data with keywords.

[0088] Step S205: Based on the equipment topology relationship information, determine the equipment topology information of the transformer with the keyword and the transformer without the keyword in combination with the user number of the target data containing the keyword and the user number of the transformer data without the keyword. Device topology information;

[0089] In the embodiment of the present invention, the equipment topology relationship information obtained from the target database is further obtained all switch information in the distribution network data to be analyzed, specifically the control information of the switch on the transformer.

[0090] Step S206, identifying and obtaining the switch information of the transformer device topology information containing the keyword and the topology information of the transformer device not containing the keyword from the topology information of the transformer device containing the keyword and the topology information of the transformer device not containing the keyword switch information;

[0091] Step S207, collecting the switch information containing the keyword transformer equipment topology information to obtain a limited switch data set containing the keyword;

[0092] Step S208, collecting the switch information containing the keyword transformer equipment topology information and the switch information not containing the keyword transformer equipment topology information to obtain a total set of limited transformer switch data;

[0093] It should be noted that, because one switch can control multiple "four-safety" transformers and non-"four-safety" transformers, as long as the switch includes a control "four-safety" transformer, it can be included in the switch data set with keywords. Therefore, the switch It can exist in both the keyword-containing switch data set and the keyword-free switch data set. In addition, the keyword-free switch data set is a switch data set that controls a keyword-free transformer.

[0094] In the embodiment of the present invention, based on the equipment topology relationship information in the target database, according to the user numbers of the non-"four-guarantee" transformer data and the "four-guarantee" transformer data, the equipment topology information of the non-"four-guarantee" transformer is obtained respectively, that is, It does not contain the topology information of the transformer equipment with keywords, and the equipment topology relationship of the "four-guarantee" transformer, that is, the equipment topology information of the transformer contains the keyword, and then determines the switch information in the topology relationship of the transformer equipment that is not "four-guarantee" respectively, that is, does not contain the key The switch information of the transformer equipment topology information, and the switch information in the "four guarantees" transformer equipment topology relationship, that is, the switch information containing the keyword transformer equipment topology information.

[0095] Then, by collecting the switch information in the topological relationship of the "four-guarantee" transformer equipment, the switch data of the "four-guarantee" transformer is limited, that is, the set of keyword-containing switch data is obtained in all switch data.

[0096] Then, by collecting the switch information in the topology relationship of the "four-guarantee" transformer and the switch information in the equipment topology of the non-"four-guarantee" transformer, all the switch data are obtained, including the switching data of the restricted "four-guarantee" transformer, and the limit of the non-"four-guarantee" transformer. The switching data of the "four guarantees" transformer, that is, the total set of switching data of the limited transformer.

[0097] Step S209, extracting the difference part of the limited switch data set containing keywords and the total set of limited transformer switch data, to obtain only limited transformer switch data without keywords;

[0098] Step S210 , defining the transformer switch data only limited without keywords as the power sequence bit table of the unplanned power consumption limit.

[0099] In the embodiment of the present invention, the set corresponding to the switching data of the restricted "four-guarantee" transformer and the difference set of the switching data of the simultaneously restricted "four-guarantee" transformer and the non-"four-guarantee" transformer are determined, and the obtained The switch data of the transformer, that is, only the switch data of transformers without keywords, and only the switch data of transformers without keywords, that is, the over-planned power consumption limit electric sequence bit table.

[0100] Compared with the current over-scheduled power consumption limit and electric sequence bit table, which can only be compiled through manual multi-professional system query and statistics. In the method for compiling an over-planned power consumption sequence bit table provided by the embodiment of the present invention, the corresponding graph model parameters are obtained by parsing the graph model data of the distribution network data to be analyzed; the graph model data is obtained from the preset Obtained from the preset equipment center; the graphic model parameters are used to construct a target database; transformer information of all transformers is obtained from the power data system, and all the transformers are identified in combination with preset keywords to obtain identification results and target transformer data; The identification result is the generation basis of the target transformer data; the equipment topology relationship information is obtained from the target database, and the transformer switch data is generated in combination with the target transformer data; based on the transformer switch data, the over-planned power consumption limit is determined sequence table. Real-time field crawling and discrimination based on the power data system, realize intelligent identification of "four guarantees" users, and ensure that "four guarantees" users are not included in the unplanned power limit and power sequence bit table, with high accuracy, based on equipment center and power data system and other professional system data to obtain data, and effectively associate the data to realize the automatic preparation of the over-planned power consumption sequence bit table, which greatly reduces the manual workload and improves the efficiency.

[0101] see image 3 , showing a structural block diagram of an embodiment of a device for compiling an over-planned power consumption limit power sequence bit table, including the following modules:

[0102] The parsing module 301 is used to parse the graph pattern data of the distribution network data to be analyzed, and obtain corresponding graph pattern parameters; the graph pattern data is obtained from a preset equipment center; the graph pattern parameters are used to construct a target database;

[0103] The identification module 302 is used to obtain the transformer information of all transformers from the power data system, identify all the transformers in combination with preset keywords, and obtain identification results and target transformer data; the identification results are the generation basis of the target transformer data ;

[0104] Transformer switch data generation module 303, configured to obtain device topology relationship information from the target database, and combine the target transformer data to generate transformer switch data;

[0105] The unplanned power consumption limit electric sequence bit table determination module 304 is configured to determine the unplanned electric power consumption limit electric sequence bit table based on the transformer switch data.

[0106] In an optional embodiment, the transformer information includes: user information and metering point information; the preset keywords include: preset user information keywords and preset metering point information keywords; the target transformer data includes : keyword-containing target data and keyword-free target data; the identification module 302 includes:

[0107] A crawling sub-module, used for crawling all the user information and metering point information of the transformer from the power data system;

[0108] A detection sub-module, configured to sequentially detect whether the user information of the transformer contains the preset user information keyword, and whether the metering point information of the transformer contains the preset metering point information keyword, and obtain the identifier result;

[0109] The target data generating sub-module is configured to generate target data with keywords and target data without keywords according to the identification results.

[0110] In an optional embodiment, the transformer switch data includes: limiting the set of switch data containing keywords and limiting the total set of transformer switch data; the transformer switch data generating module 303 includes:

[0111] The equipment topology information determination sub-module is used for determining the equipment topology information of the transformer containing the keyword based on the equipment topology relationship information and combining the user ID of the target data with the keyword and the user ID of the transformer data without the keyword. and transformer equipment topology information without keywords;

[0112] A switch information determination sub-module, configured to identify and obtain the switch information containing the keyword transformer equipment topology information and the switch information without the keyword from the keyword-containing transformer equipment topology information and the keyword-free transformer equipment topology information Switch information of word transformer equipment topology information;

[0113] Transformer switch data generation sub-module, used for collecting the switch information containing the topology information of the transformer equipment with keywords, to obtain a limited switch data set containing keywords;

[0114] The total set data generation sub-module is used to collect the switch information including the keyword transformer equipment topology information and the switch information without the keyword transformer equipment topology information to obtain a total set of limited transformer switch data.

[0115] In an optional embodiment, the module 304 for determining the sequence bit table of the unplanned power consumption limit includes:

[0116] a difference set processing sub-module, used for extracting the difference part of the limited switch data set containing keywords and the switch data set, to obtain the transformer switch data only limited but not containing keywords;

[0117] A definition sub-module is used to define the transformer switch data that only restricts and does not contain keywords as the power sequence bit table of the unplanned power consumption limit.

[0118] In an optional embodiment, the graph model data includes: connection point model data and device model data; the graph model parameters include: device parameters and connection parameters; the parsing module 301 includes:

[0119] The exporting submodule is used for exporting the CIM file from the pattern file according to the preset CIM export rule;

[0120] A model parameter parsing submodule, configured to parse the CIM file by using a preset CIM structure model, to obtain the device parameters corresponding to the device model data and the connection parameters corresponding to the connection point model data;

[0121] A construction submodule is used for constructing the target database by using the CIM file, the equipment parameters and the connection point parameters.

[0122] The application also provides an electronic device, the device includes a processor and a memory;

[0123] The memory is used to store the program code and transmit the program code to the processor;

[0124] The processor is configured to execute, according to the instructions in the program code, the method for compiling the power sequence bit table for over-planned power consumption in the above method embodiments.

[0125] The present application also provides a computer-readable storage medium, where the computer-readable storage medium is used to store program codes, and the program codes are used to execute the method for compiling a power sequence bit table for super-planned power consumption in the above method embodiments.

[0126] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are only illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components may be combined or Can be integrated into another system, or some features can be ignored, or not implemented. On the other hand, the shown or discussed mutual coupling or direct coupling or communication connection may be through some interfaces, indirect coupling or communication connection of devices or units, and may be in electrical, mechanical or other forms.

[0127]The units described as separate components may or may not be physically separated, and components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution in this embodiment.

[0128] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically alone, or two or more units may be integrated into one unit. The above-mentioned integrated units may be implemented in the form of hardware, or may be implemented in the form of software functional units.

[0129] The integrated unit, if implemented in the form of a software functional unit and sold or used as an independent product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solutions of the present application can be embodied in the form of software products in essence, or the parts that contribute to the prior art, or all or part of the technical solutions, and the computer software products are stored in a storage medium , including several instructions for executing all or part of the steps of the methods described in the various embodiments of the present application through a computer device (which may be a personal computer, a server, or a network device, etc.). The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (full English name: Read-Only Memory, English abbreviation: ROM), random access memory (English full name: Random Access Memory, English abbreviation: RAM), magnetic disk Or various media such as optical discs that can store program codes.

[0130] As mentioned above, the above embodiments are only used to illustrate the technical solutions of the present application, but not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand: The technical solutions recorded in the embodiments are modified, or some technical features thereof are equivalently replaced; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions in the embodiments of the present application.