Model mapping method between substation centralized monitoring system and power grid resource business center

Abstract

The present invention discloses a model mapping method between a substation centralized monitoring system and a power grid resource business middle station, belonging to the field of model mapping technology. The model mapping method between the substation centralized monitoring system and the power grid resource business middle station includes the following steps: obtaining a first device model to be mapped in the substation centralized monitoring system and a second device model to be mapped in the power grid resource business middle station; performing associative mapping on the first device model and the second device model from several dimensions to obtain the mapping matching degree of each dimension, and then assigning corresponding weights, summarizing the weighted mapping matching degrees of each dimension, and associating the models if the corresponding threshold is exceeded. The provided model mapping method between the substation centralized monitoring system model and the power grid resource business middle station can greatly improve the mapping efficiency and accuracy.

Description

Technical Field

[0001] The present invention relates to the technical field of model mapping, and in particular to a model mapping method and a computer-readable storage medium for a centralized monitoring system of a substation and a power grid resource service center. Background Art

[0002] The model mapping work between the substation centralized monitoring system and the power grid resource business center is basically all done manually, which requires a high level of professionalism from the operation and maintenance personnel. In actual applications, there are a large number of equipment models that require manual communication, confirmation and verification. Associating the models not only cannot guarantee the accuracy of the association relationship, but also has low accuracy in power grid model mapping and is time-consuming, which is not conducive to equipment information sharing. Summary of the invention

[0003] The object of the present invention is to provide a model mapping method for a substation centralized monitoring system and a power grid resource service center to solve the problem of low efficiency of manual mapping.

[0004] In order to solve the above technical problems, the present invention provides a model mapping method between a substation centralized monitoring system and a power grid resource service center, comprising the following steps:

[0005] Acquire a first device model to be mapped in the centralized monitoring system of the substation and a second device model to be mapped in the power grid resource service;

[0006] The first device model and the second device model are associated and mapped from several dimensions to obtain the mapping matching degree of each dimension, and then the corresponding weights are assigned, and the weighted mapping matching degrees of each dimension are summarized. If the corresponding threshold is exceeded, the models are associated.

[0007] Preferably, the first device model is a first stock device model, and the second device model is a second stock device model, wherein the step of acquiring the first stock device model and the second stock device model comprises:

[0008] Access the substation centralized monitoring system model to read the stock equipment and establish the first stock equipment model; import the offline ledger archive model of the power grid resource business center to establish the second stock equipment model.

[0009] Preferably, the first device model is a first incremental device model, and the second device model is a second incremental device model, wherein the step of acquiring the first incremental device model and the second incremental device model comprises:

[0010] Access the substation centralized monitoring system model to obtain the newly added equipment to establish the first incremental equipment model; regularly call the current equipment ledger of the power grid resource business center and compare it with the pre-stored ledger file model to obtain the second incremental equipment model.

[0011] Preferably, after obtaining the first device model and the second device model: marking is also performed according to a pre-stored black and white list, and the device models in the black and white list are marked as redundant files, and no mapping operation is performed.

[0012] Preferably, association mapping is performed from four dimensions, namely, topological relationship, real-time data, SVG graph and name similarity, to obtain the mapping matching degree of each dimension, and the final matching degree is obtained by summarizing the weights of the mapping matching degrees of the four dimensions. If the final matching degree exceeds the corresponding threshold, the model is associated, wherein different thresholds are set for different device types.

[0013] Preferably, multiple rounds of association mapping are performed on the first device model and the second device model from several dimensions.

[0014] Preferably, each round of association mapping steps includes:

[0015] Correlate plant models from several dimensions to obtain correlation results;

[0016] Correlate busbar, transformer and bay models from several dimensions to obtain correlation results;

[0017] The units, loads, windings, line ends, capacitors, reactances, switches, circuit breakers, transformers, and interval models are associated from several dimensions, and the line end models simultaneously verify the lines to which they belong to obtain the associated results.

[0018] Preferably, at least two rounds of association mapping are performed: after the first round of association mapping, the unmatched models are verified to form problematic entries with irregular naming that need to be processed, and the second round of association mapping is performed after the problematic entries are repaired.

[0019] Preferably, after the mapping relationship is established, the steps for adding or changing the device include: initiating registration in the substation centralized monitoring system, registering the new or changed information of the device to the power grid resource business platform, and then associating the account of the device in the substation centralized monitoring system and the corresponding account in the power grid resource business platform, and updating the mapping relationship.

[0020] The present invention also provides a computer-readable storage medium on which a computer program is stored. When the program is executed by an executor, the model mapping method between the substation centralized monitoring system and the power grid resource business center as described above is implemented.

[0021] The model mapping method between the substation centralized monitoring system and the power grid resource business middle station provided in the present invention can greatly improve the mapping efficiency by providing the model mapping method between the substation centralized monitoring system model and the power grid resource business middle station. A method of direct mapping between the centralized control system model and the power grid resource business middle station equipment archive is adopted, and no third-party model is added. The two logics of stock model mapping and incremental model mapping are used to realize the automated process of two-way auditing, model mapping calculation and two-way interaction, thereby reducing the subsequent maintenance work. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 The present invention provides a logic diagram of three rounds of mapping according to an embodiment;

[0023] Figure 2 The present invention provides a logic diagram of each round of mapping according to an embodiment;

[0024] Figure 3 It is a schematic diagram of a registration change process of an auxiliary device according to an embodiment of the present invention;

[0025] Figure 4 This is a mapping link diagram provided by the present invention. DETAILED DESCRIPTION

[0026] The following is a further detailed description of the model mapping method between the substation centralized monitoring system and the power grid resource business middle station proposed in the present invention in combination with the accompanying drawings and specific embodiments. According to the following description, the advantages and features of the present invention will become clearer. It should be noted that the accompanying drawings are all in a very simplified form and are not in precise proportions, which are only used to conveniently and clearly assist in explaining the purpose of the embodiments of the present invention.

[0027] The inventors found that the names of the equipment models of the substation centralized monitoring system and the power grid resource business center are different. Generally, it is necessary to manually associate and map the corresponding equipment. The models used by substations in various places are different, which requires a lot of operations and is time-consuming.

[0028] Based on this, the core idea of ​​the present invention is to provide a mapping method for the above-mentioned problem to map the model in the substation and the model in the power grid middle station, reduce the amount of manual operation, and thus solve the problem that the mapping between the substation centralized monitoring system model and the power grid resource business middle station model is not intelligent enough, and improve the efficiency and accuracy of the mapping of the two system models.

[0029] For details, please refer to Figure 1-Figure 4 , which is a schematic diagram of an embodiment of the present invention. Figure 1 As shown, a model mapping method between a substation centralized monitoring system and a power grid resource business middle station includes the following steps:

[0030] S1, obtaining a first device model to be mapped in the substation centralized monitoring system and a second device model to be mapped in the power grid resource service center.

[0031] According to the actual situation of the current access data of the new generation substation centralized control system, starting from the data requirements of the current power grid resource business platform, the model mapping scope is clarified, which mainly includes: substation, busbar, transformer, transformer, circuit breaker, capacitor reactor, AC line segment. Extract the device model to be mapped in the system, and refer to the following Table 1 for the device types that need to establish model mapping relationships:

[0032]

[0033] Table 1 Equipment types of centralized control stations and middle station equipment types

[0034] Generally speaking, a number of running devices are stored in the substation centralized monitoring system and the power grid resource business platform, and a mapping relationship needs to be established. Therefore, a device model is extracted based on the existing devices in the system. Specifically, the first device model is a first stock device model, and the second device model is a second stock device model. The steps of obtaining the first stock device model and the second stock device model include:

[0035] Access the substation centralized monitoring system model to read the stock equipment and establish the first stock equipment model; import the offline ledger archive model of the power grid resource business center to establish the second stock equipment model.

[0036] A method for acquiring a newly added device model is also proposed for mapping, the maintenance of device registration, change and other matters is improved, and the device model is audited and mapped regularly. Specifically, the first device model is a first incremental device model, and the second device model is a second incremental device model. The steps of acquiring the first incremental device model and the second incremental device model include:

[0037] Access the substation centralized monitoring system model to obtain the newly added equipment to establish the first incremental equipment model; regularly call the current equipment ledger of the power grid resource business center and compare it with the pre-stored ledger file model to obtain the second incremental equipment model.

[0038] See also Figure 4, the mapping link of the mapping method provided in this application mainly includes two logics: stock model mapping and incremental model mapping, so as to realize the automatic process of two-way audit function, model mapping calculation and two-way interaction. Through the two-way data audit of the centralized control system model and the middle platform archive information, the real-time monitoring of model changes drives the real-time mapping of the models on both sides, and the mapping information table is saved synchronously. When the model name, voltage level and other information changes, or the model's investment and withdrawal mark changes, the model mapping module will be synchronized to the mapping relationship table, and the operation and maintenance personnel can be notified in time for manual processing and review.

[0039] From the perspective of reducing the workload of later maintenance, the main equipment model mapping adopts the method of direct mapping between the centralized control system model and the power grid resource business middle platform equipment archive, and no third-party models are added. The existing model mapping and incremental model mapping are used to achieve two-way auditing, real-time monitoring of real-time model changes of the two systems, and synchronous update of the mapping relationship to form a model mapping relationship table, which is saved in the new generation of centralized control system and power grid resource business middle platform through automated processes, and maintained in real-time synchronization to ensure data consistency.

[0040] In addition, a black and white list mechanism is also adopted. Based on the customer-supplied list, the substation-specific equipment is included in the white list, and the retired and problem models are added to the black list. The equipment in the black and white lists are marked as redundant files, and do not participate in model matching, and no mapping operations are performed. No deletion operations are performed in the centralized control system, and only the addition and modification operations are included in the governance process. Specifically, after obtaining the first device model and the second device model: they are also marked according to the pre-stored black and white lists, and the device models in the black and white lists are marked as redundant files, and no mapping operations are performed.

[0041] S2, performing association mapping on the first device model and the second device model from multiple dimensions, obtaining the mapping matching degree of each dimension, and then assigning corresponding weights, summarizing the weighted mapping matching degrees of each dimension, and associating the models if they exceed the corresponding threshold. Specifically, multiple rounds of association mapping are performed on the first device model and the second device model from multiple dimensions.

[0042] In one embodiment, association mapping is performed from four dimensions, namely, topological relationship, real-time data, SVG graph and name similarity, to obtain the mapping matching degree of each dimension, and the final matching degree is obtained by summarizing the weights of the mapping matching degrees of the four dimensions. If the final matching degree exceeds the corresponding threshold, the model is associated, wherein different thresholds are set for different device types.

[0043] The matching degree is scored from each dimension, and finally the final total score is obtained by summarizing the weights of the scores of the four dimensions. Different thresholds are set for different device types. If the total score exceeds the corresponding threshold, it is considered that the two models can be associated. Please refer to the matching score standards for each dimension listed below:

[0044] The matching degree is scored from the dimension of the topological relationship of the power grid model, that is, whether the substations, buses, voltage levels, and intervals of the two models in the corresponding system are the same. The more common attributes, the higher the score. If they are all different, it will be recorded as 0 points.

[0045] The matching degree is scored from the dimension of real-time data: the real-time database is queried to determine whether there is real-time data for this model in the centralized control and monitoring system, and whether the real-time data changes all the time. If there is real-time data, full marks will be awarded, otherwise 0 marks will be awarded.

[0046] The matching degree is scored from the dimension of SVG diagram: the primary wiring diagram in the centralized control system is parsed, all measurement IDs in the diagram are obtained, and it is determined whether this model exists in the SVG diagram. If it exists, full marks are given, otherwise 0 marks are given.

[0047] The matching degree is scored from the dimension of name similarity: the model names in the two systems are converted into strings, and then the name strings are processed through the corresponding rule base. Different systems correspond to different rule bases. The proportion of similar strings in the two name strings after processing is calculated, and the similarity ratio is the name similarity score.

[0048] Among them, in terms of the dimension of name similarity, since the system models on both sides are generally manually modeled, the naming rules are often not unified, and the model names may have typos, disorder, prefixes, suffixes, confusion of Roman and Arabic data, etc., it is necessary to first screen and judge the models to determine whether the model names of the two systems meet the standards to avoid operational errors. For example, in Table 2 below, the inventor proposes a set of universal rule tables based on the currently used system models. By extracting the keywords in the model names, the names of the current models are parsed and verified according to the rule tables. Those that do not meet the rules are eliminated, and no mapping is performed, which is left for manual investigation and confirmation.

[0049]

[0050]

[0051] Table 2 Model equipment naming standard rules table

[0052] For entries left for manual investigation and confirmation, during the process of manual matching using the rule table and the system model name, the program will extract information through entity recognition technology, relationship extraction technology, etc. and automatically learn these rules, establish a rule base, process the two name strings before comparing the string similarity, and finally compare the similarity of the two strings. A comprehensive analysis of various problems encountered in the pilot work can be conducted to continuously discover and collect rules in model matching, such as: character matching rules, Chinese characters and Arabic numerals matching rules, symbol and Chinese characters matching rules, object and constant matching rules, etc. The maintenance experience is informatized and collected into a set of matching rule bases described by regular expressions, which are used for interactive automatic verification and error correction functions to transform "human experience" into automated processes.

[0053] Based on the established rule base, the model names in the two systems are converted into strings, and then the name strings are processed through the corresponding rule base. Different systems correspond to different rule bases. After screening out the names to be mapped, the proportion of similar strings in the two name strings after processing is calculated. The similarity proportion is the name similarity score.

[0054] In addition, the matching degree values ​​between the obtained models are also saved. The similarity will be marked for each model during matching. After the system completes the mapping and matching, an intelligently recommended suspected list of unrelated models will be presented. Unrelated models will be recommended in reverse order of similarity to improve the efficiency of manual matching.

[0055] At least two rounds of association mapping are performed: after the first round of association mapping, the unmatched models are verified to form problematic items with irregular naming that need to be processed, and the second round of association mapping is performed after the problematic items are fixed. Both the first and second rounds of mapping map each model in turn from several dimensions according to the above process.

[0056] In one embodiment, Figure 1 , perform three rounds of association mapping: after the first round of association mapping, check the unmatched models to form problematic items with irregular naming that need to be processed, and manually repair the naming of the equipment model before performing the second round of association mapping. After the second round of association mapping, the remaining unmatched models are usually errors in the plant or bus to which they belong, and then manually perform the third round of association mapping to associate the correct model and include the unique model in the substation centralized monitoring system in the black and white list. Manual matching can refer to the recommended suspected list for association.

[0057] In addition, if Figure 2 , mapped in order from large to small according to the device size, each round of association mapping steps includes:

[0058] Correlate plant models from several dimensions to obtain correlation results;

[0059] Correlate busbar, transformer and bay models from several dimensions to obtain correlation results;

[0060] The units, loads, windings, line ends, capacitors, reactances, switches, circuit breakers, transformers, and bay models are associated from several dimensions, and the line end model verifies the lines to which it belongs to obtain the associated results. Based on the relationship of the power grid model, the mapping verifies the busbars, transformers, bays, and plants to which they belong, and the line end model verifies the lines to which it belongs.

[0061] It can be understood that auxiliary equipment provides auxiliary conditions for realizing the overall functions of power test / inspection vehicles and special operation vehicles, including power supply, grounding, lighting, monitoring, cable trays, communications, ventilation, air conditioning, lifting, lifting, moving, unfolding, climbing and other devices. Generally, auxiliary equipment is not archived in the middle platform, so the auxiliary equipment model is registered by the centralized control system side, and the stock model is registered in the middle platform at one time. For the incremental changes of the auxiliary equipment model, it is initiated by the centralized control system and enters the equipment change process.

[0062] For details, see Figure 3 The mapping link diagram shows that after the mapping relationship is established, the steps for adding or changing the equipment include: initiating registration in the substation centralized monitoring system, registering the new information or changed information of the equipment to the power grid resource business platform, and then associating the account of the equipment in the substation centralized monitoring system and the corresponding account in the power grid resource business platform to update the mapping relationship.

[0063] In another embodiment provided by the present invention, a computer-readable storage medium is also provided, on which a computer program is stored. When the program is executed by an executor, the model mapping method between the substation centralized monitoring system and the power grid resource business middle station as described above is implemented.

[0064] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented by software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function described in the embodiment of the present invention is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from a website site, computer, server or data center to another website site, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more available media integrated. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid-state hard disk Solid State Disk (SSD)), etc.

[0065] Based on the mapping method provided above, when the operation is actually performed through a readable storage medium, the mapping relationship of each model can be archived after the mapping is completed, the matching results can be intelligently analyzed, and statistical reports can be exported. The matching degree of the unrelated parts can be managed and eliminated based on the intelligent recommendation of the model. A mapping relationship query service can be provided for querying: centralized control station ID, centralized control station equipment type, centralized control station plant station ID, middle station resource ID, middle station equipment name, middle station physical ID and other field information for centralized control system and middle station to call

[0066] From the above, it can be seen that in the model mapping method between the substation centralized monitoring system and the power grid resource business middle station provided in the embodiment of the present invention, before the unified model is realized, the correspondence between models is realized through model mapping, the problem of interactive data identification between the two systems is solved, and the association relationship between the models of the two systems is established. For the newly added or changed model, this relationship is sent to the application side system when the source system encapsulates the data, which greatly improves the mapping efficiency and accuracy.

[0067] The above description is only a description of the preferred embodiments of the present invention, and is not intended to limit the scope of the present invention. Any changes or modifications made by a person skilled in the art in the field of the present invention based on the above disclosure shall fall within the scope of protection of the claims.

Claims

1. A model mapping method between a substation centralized monitoring system and a power grid resource business center. It is characterized in that The following steps are involved: Acquire a first device model to be mapped in the centralized monitoring system of the substation and a second device model to be mapped in the power grid resource service; The first device model and the second device model are associated and mapped from four dimensions: topological relationship, real-time data, SVG diagram, and name similarity, respectively, to obtain the mapping matching degree of each dimension, and then assign corresponding weights, and summarize the weights of the mapping matching degrees of the four dimensions to obtain the final matching degree. If the final matching degree exceeds the corresponding threshold, the model is associated, wherein different thresholds are set for different device types. When the association mapping is performed from the name similarity dimension, the model is first screened and judged, the model names in the two systems are converted into strings, and then the name strings are processed through the corresponding rule base, and different systems correspond to different rule bases; Furthermore, at least two rounds of association mapping are performed: after the first round of association mapping, the unmatched models are verified to form problematic items with irregular naming that need to be processed, and the second round of association mapping is performed after the problematic items are fixed. Both the first and second rounds of mapping map each model in turn from four dimensions according to the above process; Among them, by extracting keywords from the model name, the names of the current models are parsed and verified according to the rule table. Those that do not meet the rules are eliminated and not mapped, and are left for manual investigation and confirmation. For items left for manual investigation and confirmation, the rule base is established during the process of manual matching using the rule table and the system model name.

2. The model mapping method between the substation centralized monitoring system and the power grid resource business middle station according to claim 1, It is characterized in that The first device model is a first stock device model, and the second device model is a second stock device model, wherein the step of acquiring the first stock device model and the second stock device model includes: Access the substation centralized monitoring system model to read the stock equipment and establish the first stock equipment model; import the offline ledger archive model of the power grid resource business center to establish the second stock equipment model.

3. The model mapping method between the substation centralized monitoring system and the power grid resource business middle station according to claim 1, It is characterized in that The first device model is a first incremental device model, and the second device model is a second incremental device model, wherein the step of acquiring the first incremental device model and the second incremental device model comprises: Access the substation centralized monitoring system model to obtain the newly added equipment to establish the first incremental equipment model; regularly call the current equipment ledger of the power grid resource business center and compare it with the pre-stored ledger file model to obtain the second incremental equipment model.

4. The model mapping method between the substation centralized monitoring system and the power grid resource business middle station according to claim 1, It is characterized in that After obtaining the first device model and the second device model: marking is also performed according to a pre-stored black and white list, and the device models in the black and white list are marked as redundant files, and no mapping operation is performed.

5. The model mapping method between the substation centralized monitoring system and the power grid resource business middle station according to claim 1, It is characterized in that The steps of each round of association mapping include: Correlate plant models from several dimensions to obtain correlation results; Correlate busbar, transformer and bay models from several dimensions to obtain correlation results; The units, loads, windings, line ends, capacitors, reactances, switches, circuit breakers, transformers, and interval models are associated from several dimensions, and the line end models simultaneously verify the lines to which they belong to obtain the associated results.

6. The model mapping method between the substation centralized monitoring system and the power grid resource business middle station according to claim 1, It is characterized in that After the mapping relationship is established, the steps for adding or changing the device include: initiating registration in the substation centralized monitoring system, registering the new or changed information of the device to the power grid resource business platform, and then associating the account of the device in the substation centralized monitoring system and the corresponding account in the power grid resource business platform, and updating the mapping relationship.

7. A computer-readable storage medium having a computer program stored thereon, It is characterized in that When the program is executed by the executor, the model mapping method between the substation centralized monitoring system and the power grid resource business center as described in any one of claims 1-6 is implemented.

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