CLCC converter full-transparent carrier construction method

Abstract

The invention relates to a CLCC converter full-transparent carrier construction method, which comprises the steps of mapping parameters of a CLCC converter, and constructing a full-transparent information base; based on a full-transparent information base of the CLCC converter, full-transparent information is mapped into a relational CLCC converter full-transparent information carrier from two aspects of the type and related attributes of the equipment and the relation between a three-dimensional model of the equipment and an equipment body; establishing an information calling mode based on a recognizable language based on a full-transparent information carrier of the relational CLCC; and performing data model maintenance on the full-transparent information carrier in two modes of data maintenance and topology maintenance, and executing the full-transparent information carrier of the CLCC by updating an information calling mode. Compared with the prior art, full-transparent management of the converter in the aspects of form, mechanical structure, electrical performance, control strategy, environmental adaptability, temperature management and the like is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of converter station equipment operating status monitoring, and in particular to a technical solution for establishing a fully transparent carrier of "shape, machine, electricity, control, environment and temperature" of a CLCC converter. Background Art

[0002] Transparency construction of power grid has become an important measure for power grid companies to build digital power grid. As the basic unit of power grid, the level and degree of transparency of power equipment will not only directly affect the effectiveness of transparency construction of power grid, but also be an effective means to further improve the safe operation of equipment. Controllable Line Commutated Converter (CLCC), as the core of realizing power conversion, is a key equipment that affects the performance, operation mode, equipment cost and operation loss of high-voltage direct current transmission system. The converter valve has the characteristics of complex system, large volume and difficult inspection. The operation and maintenance personnel can only "see the leopard in the tube" and "see the trees but not the forest" on site; at the same time, the operation and maintenance data is scattered. Although the digital foundation is good, the fragmentation and separation contradictions are prominent. There is a lack of advanced object-oriented multi-source data organization and management technology to realize the fusion and integration of multi-type data, visualization and efficient penetration application.

[0003] With the deep integration and widespread application of modern information technologies and energy technologies such as big cloud, Internet of Things, mobility and intelligence, the digital and intelligent characteristics of the transformation of new power systems have become more prominent. As an important means of long-distance and large-capacity power transmission, high-voltage direct current transmission technology, controllable line commutated converter (CLCC) provides high-voltage direct current transmission with more reliability, larger capacity and lower cost. However, since the current transparent and digital construction of CLCC converters is still in the early stages of research, CLCC converters have problems with information opacity and insufficient monitoring in terms of morphology, mechanical structure, electrical performance, control strategy, environmental adaptability and temperature management, which affects the stability and work efficiency of the transmission system. Therefore, it is necessary to propose a new technical solution to achieve fully transparent management of converters. Summary of the invention

[0004] The purpose of the present invention is to overcome the defects of information opacity and insufficient monitoring in the management of the above-mentioned existing CLCC converters and to provide a method for establishing a fully transparent carrier of a controllable commutation high-voltage direct current transmission converter, aiming to achieve fully transparent management of the converter in terms of morphology, mechanical structure, electrical performance, control strategy, environmental adaptability and temperature management.

[0005] The purpose of the present invention can be achieved by the following technical solutions:

[0006] A method for constructing a fully transparent carrier of a CLCC converter, the method comprising the following steps:

[0007] Map the parameters of CLCC converters and build a fully transparent information library;

[0008] Based on the fully transparent information database of CLCC converters, the fully transparent information is mapped into relational CLCC converter fully transparent information carriers from two levels: the type and related attributes of the equipment, and the relationship between the three-dimensional model of the equipment and the equipment itself;

[0009] Based on the relational CLCC converter fully transparent information carrier, establish an information call mode based on recognizable language;

[0010] The data model of the fully transparent information carrier is maintained in two ways: data maintenance and topology maintenance. The fully transparent information carrier of the CLCC converter is executed by updating the information calling mode.

[0011] As a preferred technical solution, the construction of a fully transparent information database is specifically as follows:

[0012] Import the CAD, diagrams, 3D models, event messages, environmental data, status data and physical structure parameters of the CLCC converter into the common information model in the form of device name-attribute-attribute value triples, and specify the information exchange mode based on the CLCC converter operation and maintenance rules;

[0013] Using metadata exchange files based on extensible markup language, the metadata information exchange standard managed by the object organization is used as the intermediate data format of CAD, diagrams, 3D models, event messages, environmental data, status data and physical structure parameters of CLCC converters for mapping and parsing;

[0014] Build a full attribute status information library based on language text and symbolic identifiers.

[0015] As a preferred technical solution, the mapping analysis is as follows:

[0016] Convert the unified modeling language into the network ontology language corresponding to the CLCC converter data, and map the reasoning of the CLCC converter operation and maintenance rules, the expression of the equipment ontology and the rules of the model;

[0017] Convert the association of the unified modeling language into the attribute association corresponding to the CLCC converter data network ontology language, that is, convert the endpoints of the attributes contained in the CLCC converter into independent attribute associations;

[0018] Convert the device entity model included in the CLCC converter into the categories of the network ontology language and define the closed information set using the writing protocol;

[0019] The attributes and models contained in the CLCC converter are converted into device instances in the network ontology language, that is, the attribute information related to the device entity is integrated in the network ontology space to build a full attribute status information library of the CLCC converter.

[0020] As a preferred technical solution, the construction of a full attribute status information library based on language text and symbol identification is specifically as follows:

[0021] The symbol set approximation algorithm is used to parse the text markup language of the full attribute state information library of the CLCC converter to obtain the grammatical concept structure of the full attribute state in the text;

[0022] Use element identifiers to establish connections between text fragments and insert full attribute status information into the device model;

[0023] Translation model, naming devices and establishing uniform resource identifiers for each device’s categories and attributes;

[0024] Add additional attribute definitions related to CLCC converters, including the operation and maintenance rules of the CLCC valve hall, the nameplates of CLCC converter components, or manual operation and maintenance records.

[0025] As a preferred technical solution, the types of devices and related attributes in the fully transparent information library of the CLCC converter include three types of relationships, namely generalization, aggregation and simple association: the aggregation refers to the relationship between the whole and the parts of the CLCC device components, which is regarded as a whole object containing or owning multiple part objects, and is regarded as a one-to-many relationship when mapped to the attribute relationship between CLCC device entities; the simple association between the attributes and the device objects is a bidirectional relationship, and the fully transparent information is mapped from the level of the types and related attributes of the devices, as follows:

[0026] When the relationship between attributes is a one-to-one association, the additional attribute definition is set in the corresponding table according to the reference frequency of the application scenario;

[0027] For one-to-many association mapping, set the additional attribute definition in the corresponding attribute on the many side;

[0028] For many-to-many association mapping, introduce association attributes and set two additional attribute definitions in the association attributes;

[0029] The reference relationship between attributes uses cascading constraints to maintain data integrity and consistency, or is implemented using triggers provided by the database.

[0030] As an optimal technical solution, the relationship between the CLCC converter three-dimensional model and the equipment body is mapped to the master record identification library in the form of a knowledge table, and the naming rules of the knowledge table are the same as those of the translation model; the full attribute status information of the equipment model is converted into table columns as attribute rules, and the cascade relationship and the daily operation and maintenance rule constraints of the converter station are set based on the interactive attributes between the CLCC converter components and between the CLCC converter components and the CLCC converter as a whole.

[0031] As a preferred technical solution, the establishment of an information calling mode based on a recognizable language is specifically as follows:

[0032] The knowledge information in the relational fully transparent information carrier is converted into the working language required by the converter station operating unit using the extensible stylesheet transformation language, and the association relationship therein is loaded as a script to generate the target document. The instructions are as follows:

[0033] Text output, extracting relevant elements from the source document and outputting them to the target document;

[0034] Create elements, create element tags, and output directly to the target document;

[0035] Create attributes. Attributes are relative to elements and exist attached to elements.

[0036] Copy the node, and completely copy the content of the specified element to a certain node;

[0037] Conditional control, make conditional judgments, and select internal operation instructions;

[0038] Loop through each node that meets the specified requirements;

[0039] According to the mapping relationship of the fully transparent information carrier, the element is called, and then its child nodes are traversed in sequence. Different types of conversions are performed on the CLCC converter entities, attributes and relationships according to the corresponding mapping relationships, including the following categories:

[0040] Extraction and copying of elements, extracting the attributes of the CLCC converter and mapping them directly to the corresponding model without changing the name and category;

[0041] Add attributes to elements as a representation of their uniqueness and assign values ​​to them;

[0042] Conditional test: when mapping the attributes in the CLCC converter to the attribute class that is mapped to the device entity, strict matching of the attributes is achieved through conditional testing;

[0043] Multiple condition tests are performed to determine the attribute values ​​in the CLCC converter model and to determine the mapping results according to different categories.

[0044] As a preferred technical solution, the fully transparent information carrier uses object-oriented technology to perform data maintenance for each model class:

[0045] Add a fully transparent information carrier attribute connection channel in the identification data object. All data maintenance commands are sent from this channel to the data engine, which completes the data modification.

[0046] The Generate instruction will generate a record add command, the Delete instruction is used to generate a record delete command, the Update instruction is used to generate a record modification command, and the Get Attribute instruction is used to generate an attribute query command. The command generated by each instruction is only responsible for the data maintenance of the corresponding table;

[0047] During the execution of the instruction, the instruction is also responsible for routing the data maintenance request to the fully transparent information carrier of the CLCC converter, forming a call chain;

[0048] The execution order of commands on the call chain is restricted. When adding new resources, records are first added to the identification data object, and then layer by layer, the execution logic of the generated instructions is: call the generation instruction library of the base class; generate and execute the new record command;

[0049] When the update instruction detects that no local attributes have been modified, no modification command is generated and the call is directly routed to the instruction library;

[0050] When the get attribute instruction call chain is executed, if there is no local CLCC converter related attribute at present, the associated attribute will be directly called to the current attribute category.

[0051] As a preferred technical solution, the topology maintenance of the CLCC converter fully transparent information carrier data model includes:

[0052] Maintenance of associations between CLCC converter components:

[0053] The reference relationship between the attributes of the inverter components is converted into the associated attributes of the adjacent components according to the roles they assume, and the maintenance of the reference relationship between the attributes is converted into data maintenance; when the object as a container executes its own data maintenance method, it calls the corresponding maintenance method of the contained object according to the state of the associated object, and forms a maintenance chain of data objects according to an entry object; it is stipulated that only the object as a container can call the maintenance method of the contained object;

[0054] Maintenance of electrical connections between CLCC converter components:

[0055] The electrical connection relationship between CLCC converter components is maintained by the association of conductive device class, endpoint class and connection point class; when adding a conductive component, the adding position and adding method include: anchoring on a certain endpoint or connection point; connecting in series between two already connected conductive devices; connecting two endpoints or connection points.

[0056] As a preferred technical solution, the method also performs related operations of the adding process for the CLCC converter information adding instruction method, and performs different adding operations by overloading the adding instruction:

[0057] During the execution of each add instruction, the parameter object is analyzed to determine whether a new associated node or sub-content needs to be created, and a data maintenance command for maintaining the electrical connection is generated;

[0058] Deletion is the reverse process of adding. A deletion instruction is added to the CLCC converter information to execute the removal process. When the deletion instruction is executed, the connection between the endpoint of the current conductive device and the connection point is disconnected, and it is analyzed whether the connection point connected to the endpoint becomes an isolated point. If it is an isolated point, a deletion command is generated to delete the connection point.

[0059] Compared with the prior art, the present invention has the following beneficial effects:

[0060] 1) The present invention realizes the mapping of the CLCC converter equipment model through modeling technology, and realizes the transparency of the converter shape. Through this model, the appearance, size and layout of the converter can be intuitively viewed, which provides convenience for design, manufacturing and operation and maintenance. By using information organization technology, a structured and ordered information organization of the CLCC converter equipment status, structural status, spatial status, environmental status and operation strategy is constructed to achieve transparency of the electrical performance, control strategy and mechanical structure of the CLCC converter. Finally, the heterogeneous information model of the CLCC converter is integrated to construct a fully transparent carrier of the CLCC converter "shape, machine, electricity, control, environment and temperature".

[0061] 2) The present invention constructs a subset of public information models as a fully transparent carrier of "shape, machine, electricity, control, environment, and temperature" of CLCC converters according to the operation and maintenance information requirements and data characteristics of CLCC converters. A relational database is used to store the CLCC converter data model, and the generalization, aggregation, and simple association in the model are mapped into reference relationships between tables.

[0062] 3) The generalized mapping method adopted by the present invention reduces the complexity of the relationship between the component nodes associated with the CLCC converter. Since the information of a resource object is scattered in multiple tables, in order to reduce the complexity of data maintenance, the object-oriented method is used to expand the data model class, define the data maintenance method for the attribute, and generate the relationship maintenance command between the data and the object.

[0063] 4) The present invention establishes an information call mode based on a recognizable language, and performs data model maintenance on a fully transparent information carrier in two ways: data maintenance and topology maintenance. It realizes information conversion, storage and call between CLCC converter component models, which can effectively improve the data quality of interaction between various business systems and reduce maintenance costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] Figure 1 A flow chart of a method for establishing a fully transparent carrier of "shape, machine, electricity, control, environment and temperature" of a CLCC converter of the present invention;

[0065] Figure 2 It is a schematic diagram of parsing text markup language of full attribute status information base;

[0066] Figure 3 It is a schematic diagram of the data maintenance model of the full attribute status information library;

[0067] Figure 4 This is a schematic diagram of the network connection of CLCC converter components. DETAILED DESCRIPTION

[0068] The present invention is described in detail below in conjunction with the accompanying drawings and specific embodiments. This embodiment is implemented based on the technical solution of the present invention, and provides a detailed implementation method and specific operation process, but the protection scope of the present invention is not limited to the following embodiments.

[0069] Example 1

[0070] The present invention provides a method for establishing a fully transparent carrier of a controllable commutation high-voltage direct current transmission converter. The mapping of the CLCC converter equipment model is achieved through modeling technology, and the converter shape is made transparent. The appearance, size and layout of the converter can be viewed intuitively, providing convenience for design, manufacturing and operation and maintenance. By using information organization technology, a structured and ordered information organization of the CLCC converter equipment status, structural status, spatial status, environmental status and operating strategy is constructed to achieve transparency of the electrical performance, control strategy and mechanical structure of the CLCC converter. Finally, the heterogeneous information models of the CLCC converter are integrated to construct a fully transparent carrier of the CLCC converter in terms of "shape, machine, electricity, control, environment and temperature". Figure 1 As shown, the specific steps of this method are as follows:

[0071] Step 1: Use the model analysis mapping tool to map the CAD, diagrams, 3D models, event messages, environmental data, status data and physical structure parameters of the CLCC converter's "shape, machine, electricity, control, environment and temperature" to build a fully transparent information library.

[0072] In step 1.1, the CAD, diagrams, three-dimensional models, event messages, environmental data, status data and physical structure parameters of the CLCC converter's "shape, machine, electricity, control, environment and temperature" are imported into the common information model in the form of device name-attribute-attribute value triples, based on the information exchange mode based on the CLCC converter operation and maintenance rules specified in the energy management system standard IEC 61970-501.

[0073] In step 1.2, the standard metadata exchange file based on extensible markup language is exported using Enterprise Architecture software, and the metadata information exchange standard managed by the object organization is mapped and parsed as the intermediate data format of CLCC converter CAD, diagrams, three-dimensional models, event messages, environmental data, status data and physical structure parameters.

[0074] In step 1.3, mapping analysis is performed using the following method.

[0075] 1.3.1) Convert the unified modeling language into the network ontology language corresponding to the CLCC converter data to realize the reasoning of CLCC converter operation and maintenance rules, the expression of equipment ontology and the rule mapping of the model.

[0076] 1.3.2) The association of the unified modeling language is converted into the attribute association of the corresponding CLCC converter data network ontology language, that is, the power outage of the attributes contained in "shape, machine, electricity, control, environment, and temperature" is converted into an independent attribute association.

[0077] 1.3.3) Convert the equipment entity model (3D model, CAD, point cloud) included in "shape, machine, electricity, control, environment, temperature" into the category of network ontology language, and use the writing protocol one of to define the closed information set.

[0078] 1.3.4) Convert the attributes and models contained in "shape, machine, electricity, control, environment, and temperature" into device instances in the network ontology language, that is, integrate the attribute information related to the device entity in the network ontology space to build a full attribute status information library of "shape, machine, electricity, control, environment, and temperature" of the CLCC converter.

[0079] In step 1.4, based on the full attribute state information library, such as Figure 2As shown, firstly, the symbol set approximation algorithm is used to perform text markup language parsing on the full attribute status information library of the CLCC converter "shape, machine, electricity, control, environment, temperature", and obtain the grammatical concept structure of the full attribute status in the text; secondly, the element identifier is used to establish the connection of the text fragments, and the full attribute status information is inserted into the device model; then the model is translated, that is, the equipment is named and a unified resource identifier is established for the category and attribute of each equipment, and finally, additional attribute definitions related to the CLCC converter "shape, machine, electricity, control, environment, temperature" are added, such as the operation and maintenance rules of the CLCC valve hall, the nameplate of the CLCC converter components, or other manual operation and maintenance records. The purpose of the step 1.4 is to construct a full attribute status information library based on language text and symbolic identification to meet the needs of manual review of the CLCC fully transparent information.

[0080] Step 2: Based on the fully transparent information database of CLCC converters, the fully transparent information is mapped into relational CLCC converter "shape, machine, electricity, control, environment, temperature" fully transparent information carriers from two levels: the type and related attributes of the equipment and the relationship between the three-dimensional model of the equipment and the equipment body.

[0081] In step 2.1, in the fully transparent information base of CLCC converters, the types of equipment and related attributes contain three types of relationships, namely generalization, aggregation and simple association. Aggregation refers to the relationship between the whole and the parts of CLCC equipment components, which is a special association relationship. Aggregation can be regarded as a whole object containing or owning multiple (or 1 or 0) partial objects. When mapped to the attribute relationship between CLCC equipment entities, it can be simply regarded as a "one-to-many" relationship. The simple association between the attribute and the equipment object is a bidirectional relationship. The bidirectional relationship stored in the relationship is redundant. When the relationship between the attributes is a "one-to-one" association, it is necessary to consider which table is most appropriate to set the additional attribute definition according to the reference frequency of the application scenario. For the "one-to-many" association mapping, the additional attribute definition is set in the "many-end" corresponding attribute. The "many-to-many" association mapping requires the introduction of association attributes, and two additional attribute definitions are set in the association attributes. In addition to using cascading constraints to maintain data integrity and consistency, the reference relationship between attributes can also be achieved with the help of triggers provided by commercial databases.

[0082] In step 2.2, the relationship between the CLCC converter three-dimensional model and the device body is mapped to the master record identification library in the form of a knowledge table. The naming rules of the knowledge table are the same as those of the translation model. The full attribute status information of the device model is converted into table columns as attribute rules, and the cascade relationship and the daily operation and maintenance rule constraints of the converter station are set based on the interactive attributes between the CLCC converter components and between the CLCC converter components and the CLCC converter as a whole.

[0083] Step 3: Based on the fully transparent information carrier of “shape, machine, electricity, control, environment and temperature” of relational CLCC converter, establish an information calling mode based on recognizable language to facilitate staff to view and use.

[0084] In step 3.1, the knowledge information in the relational fully transparent information carrier is converted into the working language required by the converter station operating unit using the extensible stylesheet transformation language, and the association relationship therein is loaded as a script to generate the target document. The document can use "xsl" as a prefix, and its instructions are as follows:

[0085] 3.1.1) Text output. <xsl:value-of>Extract relevant elements from the source document and output them to the target document.

[0086] 3.1.2) Create elements. Use <xsl:element>Create element tags and output directly to the target document.

[0087] 3.1.3) Create attributes. Use <xsl:attribute>Create attributes. Attributes are relative to elements and always exist attached to elements.

[0088] 3.1.4) Copy the node. <xsl:copy-of>Copies the contents of the specified element completely to a node (including child elements, attributes, and text content).

[0089] 3.1.5) Condition control. <xsl:if>Make judgments and select internal operation instructions. XSLT provides many conditional control functions to meet complex XML conversions.

[0090] 3.1.6) Circular processing. <xsl:for-each>Used to loop through each node that meets specific requirements.

[0091] In step 3.2, call the mapping relationship of the fully transparent information carrier <xsl:apply-templates>, and then traverse its child nodes in turn, and perform different types of conversions on CLCC converter entities, attributes, and relationships according to the corresponding mapping relationships, which are divided into the following categories:

[0092] 3.2.1) Extraction and copying of elements. Extract the attributes of the CLCC converter and map them directly to the corresponding model without changing the name and category;

[0093] 3.2.2) Add attributes. For example, add an "rdf:ID" attribute to an element as a representation of its uniqueness. <xsl:value-of>Statement to assign a value.

[0094] 3.2.3) Conditional test. For example, when mapping the magSatFlux attribute in the CLCC inverter to the attribute class that is mapped to the device entity, it is necessary to ensure that there is an aggregation relationship between the device entity and the attribute class. <xsl:if>Conditional testing to achieve strict matching of attributes.

[0095] 3.2.4) Multiple condition testing, using <xsl:choose>Instruction combination <xsl:when>or <xsl:otherwise>Make conditional judgment. <xsl:when>Determine the attribute value in the CLCC converter model and determine the mapping result according to different categories. The following code snippet demonstrates how to check whether the attribute value is equal to 4 and perform the corresponding mapping processing according to the result.

[0096] <xsl:choose>

[0097] <xsl:when

[0098] test="substring-after(cim1:TapChanger.type / @rdf:resource,'_')=4">Mapping Processing Statement

[0099] < / xsl:choose> < / xsl:when>

[0100] < / xsl:otherwise> < / xsl:when> < / xsl:choose>

[0101] Step 4: Maintain the data model of the fully transparent information carrier in two ways: data maintenance and topology maintenance, and improve the execution efficiency of the carrier information by updating the information call mode.

[0102] In step 4.1, in order to reduce the complexity of data maintenance of fully transparent information carriers, object-oriented technology is used to add data maintenance methods for each model class, such as Figure 3 As shown. In the identification data object, an attribute connection channel of a fully transparent information carrier is added. All data maintenance commands are sent from this channel to the data engine, and the data engine completes the data modification. The generate instruction will generate a record add command, the delete instruction is used to generate a record delete command, the update instruction is used to generate a record modification command, and the get attribute instruction is used to generate an attribute query command. The command generated by each instruction is only responsible for the data maintenance of the corresponding table. During the execution process, the instruction is also responsible for routing the data maintenance request to the fully transparent information carrier of the CLCC converter to form a call chain. Due to the reference constraints between attributes, the execution order of commands on the call chain has certain restrictions. For example, when adding new resources, records should be added to the identification data object first, and then the operations are performed layer by layer. The execution logic of the generate instruction is as follows: (1) Call the base class generation instruction library; (2) Generate and execute the new record command. Since the information of the CLCC converter data and device resources is distributed in multiple tables, optimization is required to improve the efficiency of method execution. In order to improve the execution efficiency of the update instruction in the call chain, when the update instruction detects that no local attributes have been modified, it does not generate a modification command and directly routes the call to the instruction library. When the get attribute instruction call chain is executed, if there is no local CLCC converter related attribute at present, the associated attribute will be directly called to the current attribute category.

[0103] In step 4.2, the topological maintenance of the data model of the fully transparent information carrier of the CLCC converter includes two aspects: one is the maintenance of the association relationship (aggregation, association) between the components of the CLCC converter; the other is the maintenance of the electrical connection relationship between the components of the CLCC converter. Aggregation and simple association are mapped into the reference relationship between the attributes of the converter components. In order to maintain the reference relationship between the attributes, they are converted into the attributes of the adjacent components according to the roles they assume, which are called association attributes, thereby turning the maintenance of the reference relationship between the attributes into data maintenance. According to the association multiplicity, the association attribute is an object or a collection of objects, and may also be null. When the object as a container executes its own data maintenance method, it calls the corresponding maintenance method of the contained object according to the status (addition, deletion, update) of the associated object, thereby forming a maintenance chain of the data object according to an entry object. In order to simplify the programming logic of each method of the object, it is stipulated that only the object as a container can call the maintenance method of the contained object. With this processing method, it can be ensured that the call chain of methods between objects is one-way, avoiding circular calls.

[0104] In step 4.3, the electrical connection relationship between the CLCC converter components is maintained by the association of the conductive device class, the endpoint class and the connection point class. When the conductive device is added or removed, the electrical connection relationship of the CLCC converter components will change. Figure 4 It is a simple network connection. When adding a conductive component, there are three main situations regarding the location and method of adding: (1) Anchoring on a certain end point or connection point, such as adding energy user EC3 to the Tb end point and connecting line segment AC3 to the CN5 connection point; (2) Connecting in series between two already connected conductive devices, such as connecting circuit breaker BK1 in series between line segments AC1 and AC2; (3) Connecting two end points or connection points, such as directly connecting CN2 and CN3 with an AC line segment.

[0105] In step 4.4, the method for adding instructions for the CLCC converter information executes the related operations of the adding process, and different adding operations are performed by overloading the adding instructions. During the execution of each adding instruction, by analyzing the parameter object, it is determined whether a new associated node or sub-content is needed, and a data maintenance command for maintaining the electrical connection is generated. Deletion is the reverse process of adding, and the deletion instruction for the CLCC converter information is added to execute the removal process. When executing the deletion instruction, the endpoint of the current conductive device is disconnected from the connection point, and it is analyzed whether the connection point connected to the endpoint becomes an isolated point (the number of endpoints associated with this connection point is 1 or 0). If it is an isolated point, a deletion command is generated to delete the connection point.

[0106] Example 2

[0107] As a second aspect of the present invention, the present application also provides an electronic device, comprising: one or more processors; a memory for storing one or more programs; when the one or more programs are executed by the one or more processors, the one or more processors implement the above-mentioned CLCC inverter fully transparent carrier construction method. In addition to the above-mentioned processor, memory and interface, any device with data processing capability in which the device in the embodiment is located may also include other hardware according to the actual function of the device with data processing capability, which will not be described in detail.

[0108] Example 3

[0109] As a third aspect of the present invention, the present application also provides a computer-readable storage medium having computer instructions stored thereon, which, when executed by a processor, implement the method for constructing a fully transparent carrier of a CLCC converter as described above. The computer-readable storage medium may be an internal storage unit of any device with data processing capabilities as described in any of the foregoing embodiments, such as a hard disk or a memory. The computer-readable storage medium may also be an external storage device, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), an SD card, a flash card (Flash Card), etc. equipped on the device. Furthermore, the computer-readable storage medium may also include both an internal storage unit and an external storage device of any device with data processing capabilities. The computer-readable storage medium is used to store the computer program and other programs and data required by any device with data processing capabilities, and may also be used to temporarily store data that has been output or is to be output.

[0110] The preferred specific embodiments of the present invention are described in detail above. It should be understood that a person skilled in the art can make many modifications and changes based on the concept of the present invention without creative work. Therefore, any technical solution that can be obtained by a person skilled in the art through logical analysis, reasoning or limited experiments based on the concept of the present invention on the basis of the prior art should be within the scope of protection determined by the claims.< / xsl:if> < / xsl:if> < / xsl:attribute> < / xsl:element>

Claims

1. A method for constructing a fully transparent carrier of a CLCC converter, characterized in that: The method steps include: Map the parameters of CLCC converters and build a fully transparent information library; Based on the fully transparent information database of CLCC converters, the fully transparent information is mapped into relational CLCC converter fully transparent information carriers from two levels: the type and related attributes of the equipment, and the relationship between the three-dimensional model of the equipment and the equipment itself; Based on the relational CLCC converter fully transparent information carrier, establish an information call mode based on recognizable language; The data model of the fully transparent information carrier is maintained in two ways: data maintenance and topology maintenance. The fully transparent information carrier of the CLCC converter is executed by updating the information calling mode.

2. A method for constructing a fully transparent carrier of a CLCC converter according to claim 1, characterized in that: The construction of a fully transparent information database is specifically as follows: Import the CAD, diagrams, 3D models, event messages, environmental data, status data and physical structure parameters of the CLCC converter into the common information model in the form of device name-attribute-attribute value triples, and specify the information exchange mode based on the CLCC converter operation and maintenance rules; Adopting metadata exchange files based on extensible markup language, the metadata information exchange standard managed by the object organization is used as the intermediate data format of CAD, diagrams, 3D models, event messages, environmental data, status data and physical structure parameters of CLCC converters for mapping and parsing; Build a full attribute status information library based on language text and symbolic identifiers.

3. A method for constructing a fully transparent carrier of a CLCC converter according to claim 2, characterized in that: The mapping analysis is as follows: Convert the unified modeling language into the network ontology language corresponding to the CLCC converter data, and map the reasoning of the CLCC converter operation and maintenance rules, the expression of the equipment ontology and the rules of the model; Convert the association of the unified modeling language into the attribute association corresponding to the CLCC converter data network ontology language, that is, convert the endpoints of the attributes contained in the CLCC converter into independent attribute associations; Convert the device entity model included in the CLCC converter into the categories of the network ontology language and define the closed information set using the writing protocol; The attributes and models contained in the CLCC converter are converted into device instances in the network ontology language, that is, the attribute information related to the device entity is integrated in the network ontology space to build a full attribute status information library of the CLCC converter.

4. A method for constructing a fully transparent carrier of a CLCC converter according to claim 2, characterized in that: The construction of the full attribute status information library based on language text and symbol identification is as follows: The symbol set approximation algorithm is used to parse the text markup language of the full attribute state information library of the CLCC converter to obtain the grammatical concept structure of the full attribute state in the text; Use element identifiers to establish connections between text fragments and insert full attribute status information into the device model; Translation model, naming devices and establishing uniform resource identifiers for each device’s categories and attributes; Add additional attribute definitions related to CLCC converters, including the operation and maintenance rules of the CLCC valve hall, the nameplates of CLCC converter components, or manual operation and maintenance records.

5. The method for constructing a fully transparent carrier of a CLCC converter according to claim 1, characterized in that: The types and related attributes of the equipment in the fully transparent information library of the CLCC converter include three types of relationships, namely generalization, aggregation and simple association: the aggregation refers to the relationship between the whole and the parts of the CLCC equipment components, which is regarded as a whole object containing or owning multiple part objects, and is regarded as a one-to-many relationship when mapped to the attribute relationship between CLCC equipment entities; the simple association between the attributes and the equipment objects is a bidirectional relationship, and the fully transparent information is mapped from the level of equipment types and related attributes, as follows: When the relationship between attributes is a one-to-one association, the additional attribute definition is set in the corresponding table according to the reference frequency of the application scenario; For one-to-many association mapping, set the additional attribute definition in the corresponding attribute on the many side; For many-to-many association mapping, introduce association attributes and set two additional attribute definitions in the association attributes; The reference relationship between attributes uses cascading constraints to maintain data integrity and consistency, or is implemented using triggers provided by the database.

6. The method for constructing a fully transparent carrier of a CLCC converter according to claim 1, characterized in that: The relationship between the CLCC converter three-dimensional model and the device body is mapped to the master record identification library in the form of a knowledge table. The naming of the knowledge table is the same as the naming rules of the translation model. The full attribute status information of the device model is converted into table columns as attribute rules, and the cascade relationship and the daily operation and maintenance rule constraints of the converter station are set based on the interactive attributes between the CLCC converter components and between the CLCC converter components and the CLCC converter as a whole.

7. The method for constructing a fully transparent carrier of a CLCC converter according to claim 1, characterized in that: The establishment of the information calling mode based on the recognizable language is specifically as follows: The knowledge information in the relational fully transparent information carrier is converted into the working language required by the converter station operating unit using the extensible stylesheet transformation language, and the association relationship therein is loaded as a script to generate the target document. The instructions are as follows: Text output, extracting relevant elements from the source document and outputting them to the target document; Create elements, create element tags, and output directly to the target document; Create attributes. Attributes are relative to elements and exist attached to elements. Copy the node, and completely copy the content of the specified element to a certain node; Conditional control, make conditional judgments, and select internal operation instructions; Loop through each node that meets the specified requirements; According to the mapping relationship of the fully transparent information carrier, the element is called, and then its child nodes are traversed in sequence. Different types of conversions are performed on the CLCC converter entities, attributes and relationships according to the corresponding mapping relationships, including the following categories: Extraction and copying of elements, extracting the attributes of the CLCC converter and mapping them directly to the corresponding model without changing the name and category; Add attributes to elements as a representation of their uniqueness and assign values ​​to them; Conditional test: when mapping the attributes in the CLCC converter to the attribute class that is mapped to the device entity, strict matching of the attributes is achieved through conditional testing; Multiple condition tests are performed to determine the attribute values ​​in the CLCC converter model and to determine the mapping results according to different categories.

8. The method for constructing a fully transparent carrier of a CLCC converter according to claim 1, characterized in that: The fully transparent information carrier uses object-oriented technology to maintain data for each model class: Add a fully transparent information carrier attribute connection channel in the identification data object. All data maintenance commands are sent from this channel to the data engine, which completes the data modification. The Generate instruction will generate a record add command, the Delete instruction is used to generate a record delete command, the Update instruction is used to generate a record modification command, and the Get Attribute instruction is used to generate an attribute query command. The command generated by each instruction is only responsible for the data maintenance of the corresponding table; During the execution of the instruction, the instruction is also responsible for routing the data maintenance request to the fully transparent information carrier of the CLCC converter, forming a call chain; The execution order of commands on the call chain is restricted. When adding new resources, records are first added to the identification data object, and then layer by layer, the execution logic of the generated instructions is: call the base class generation instruction library; Generate and execute new record commands; When the update instruction detects that no local attributes have been modified, no modification command is generated and the call is directly routed to the instruction library; When the get attribute instruction call chain is executed, if there is no local CLCC converter related attribute at present, the associated attribute will be directly called to the current attribute category.

9. The method for constructing a fully transparent carrier of a CLCC converter according to claim 1, characterized in that: The topology maintenance of the CLCC converter fully transparent information carrier data model includes: Maintenance of associations between CLCC converter components: The reference relationship between the attributes of the inverter components is converted into the associated attributes of the adjacent components according to the roles they assume, and the maintenance of the reference relationship between the attributes is converted into data maintenance; when the object as a container executes its own data maintenance method, it calls the corresponding maintenance method of the contained object according to the state of the associated object, and forms a maintenance chain of data objects according to an entry object; it is stipulated that only the object as a container can call the maintenance method of the contained object; Maintenance of electrical connections between CLCC converter components: The electrical connection relationship between CLCC converter components is maintained by the association of conductive device class, endpoint class and connection point class; when adding a conductive component, the adding position and adding method include: anchoring on a certain endpoint or connection point; connecting in series between two already connected conductive devices; connecting two endpoints or connection points.

10. The method for constructing a fully transparent carrier of a CLCC converter according to claim 1, characterized in that: The method also performs related operations of the adding process for the CLCC converter information adding instruction method, and performs different adding operations by overloading the adding instruction: During the execution of each add instruction, the parameter object is analyzed to determine whether a new associated node or sub-content needs to be created, and a data maintenance command for maintaining the electrical connection is generated; Deletion is the reverse process of adding. A deletion instruction is added to the CLCC converter information to execute the removal process. When the deletion instruction is executed, the connection between the endpoint of the current conductive device and the connection point is disconnected, and it is analyzed whether the connection point connected to the endpoint becomes an isolated point. If it is an isolated point, a deletion command is generated to delete the connection point.

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