Modeling method and device of transformer substation monitoring system, electronic equipment and storage medium

Abstract

The invention discloses a modeling method of a transformer substation monitoring system, a modeling device of the transformer substation monitoring system, electronic equipment and a computer readable storage medium. Respectively constructing a first model and a second model corresponding to the main equipment and the auxiliary equipment from the spatial dimension, the equipment dimension and the business dimension; and associating the first model and the second model based on business requirements of the transformer substation to obtain an integrated main and auxiliary equipment model. According to the modeling method, the main equipment and the auxiliary equipment are subjected to fusion modeling, the integrated main and auxiliary equipment model can be obtained, the main and auxiliary equipment model only needs to maintain a small number of databases and models, the main and auxiliary equipment model can be clearer on the basis of reducing redundant data, and then the engineering maintenance efficiency is improved.

Description

Technical Field

[0001] The present application belongs to the technical field of substations, and in particular relates to a modeling method for a substation monitoring system, a modeling device for a substation monitoring system, an electronic device, and a computer-readable storage medium. Background Art

[0002] With the continuous advancement of power grid technology, substations have become more and more networked, informationized and intelligent, and the basic support of automation equipment has become increasingly important. Substation monitoring systems have the functions of real-time monitoring and operation control of power equipment, which improves the automation level of substations. However, the current modeling method of substation monitoring systems requires the maintenance of multiple sets of different data models and databases, which not only causes a large amount of redundant data configuration, but also has an unclear hierarchical structure, further exacerbating the difficulty of maintenance.

[0003] Therefore, a modeling method for substation monitoring system that is easy to maintain needs to be proposed. Summary of the invention

[0004] The present application provides a modeling method for a substation monitoring system, a modeling device for a substation monitoring system, an electronic device and a computer-readable storage medium, which can reduce the databases and models that need to be maintained, make the models of main and auxiliary equipment clearer on the basis of reducing redundant data, and thus improve engineering maintenance efficiency.

[0005] In a first aspect, the present application provides a modeling method for a substation monitoring system, comprising:

[0006] Constructing a first model and a second model corresponding to the main device and the auxiliary device respectively from the spatial dimension, the device dimension and the business dimension;

[0007] The first model and the second model are associated based on the business requirements of the substation to obtain an integrated main and auxiliary equipment model.

[0008] In a second aspect, the present application provides a modeling device for a substation monitoring system, comprising:

[0009] A construction module, used to construct a first model and a second model corresponding to the main device and the auxiliary device respectively from a spatial dimension, a device dimension, and a business dimension;

[0010] The association module is used to associate the first model with the second model based on the business needs of the substation to obtain an integrated main and auxiliary equipment model.

[0011] In a third aspect, the present application provides an electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method of the first aspect when executing the computer program.

[0012] In a fourth aspect, the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method of the first aspect are implemented.

[0013] In a fifth aspect, the present application provides a computer program product, which includes a computer program. When the computer program is executed by one or more processors, it implements the steps of the method of the first aspect.

[0014] Compared with the prior art, the present application has the following beneficial effects: by constructing the first model of the main equipment and the second model of the auxiliary equipment from the spatial dimension, the equipment dimension and the business dimension, respectively, the comprehensiveness of the main equipment and auxiliary equipment models can be improved. Based on this, in order to change the fragmented modeling mode in the relevant technology, the two models can be associated and integrated into an integrated main and auxiliary equipment model according to the business needs of the substation, which can not only integrate the models and databases, reduce the number of models and databases to be maintained, and reduce redundant data, but also make the model structure of the substation monitoring system clearer, thereby improving the maintenance efficiency of the project.

[0015] It can be understood that the beneficial effects of the second to fifth aspects mentioned above can be found in the relevant description of the first aspect mentioned above, and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0017] Figure 1 It is a flow chart of a modeling method of a substation monitoring system provided in an embodiment of the present application;

[0018] Figure 2 It is a schematic diagram of a process of automatically associating a remote control object with a remote signal provided in an embodiment of the present application;

[0019] Figure 3 It is a schematic diagram of a process for automatically classifying telemetry signal subtypes provided in an embodiment of the present application;

[0020] Figure 4 It is a structural schematic diagram of a modeling device of a substation monitoring system provided in an embodiment of the present application;

[0021] Figure 5 It is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0022] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.

[0023] In the related art, the modeling method of the substation monitoring system needs to maintain multiple sets of different data models and databases, which not only causes a large amount of redundant data configuration, but also has an unclear hierarchical structure, further exacerbating the difficulty of maintenance.

[0024] In order to solve this problem, this application proposes a modeling method for a substation monitoring system, which can reduce the databases and models that need to be maintained, make the main and auxiliary equipment models clearer on the basis of reducing redundant data, and thus improve the efficiency of engineering maintenance. The control method proposed in this application will be described below through specific embodiments.

[0025] The modeling method of the substation monitoring system provided in the embodiment of the present application can be applied to electronic devices such as mobile phones, tablet computers, vehicle-mounted equipment, augmented reality (AR) / virtual reality (VR) devices, laptops, ultra-mobile personal computers (UMPC), netbooks, personal digital assistants (PDA), etc. The embodiment of the present application does not impose any restrictions on the specific type of electronic devices.

[0026] In order to illustrate the technical solution proposed in this application, each embodiment will be described below with an electronic device as the execution subject.

[0027] Figure 1 A schematic flow chart of a modeling method for a substation monitoring system provided by the present application is shown, and the modeling method for a substation monitoring system includes:

[0028] Step 110: The electronic device constructs a first model and a second model corresponding to the main device and the auxiliary device respectively from the spatial dimension, the device dimension, and the business dimension.

[0029] The modeling methods of substation monitoring systems in related technologies are not unified and complete, especially the models of main equipment and auxiliary equipment are independently constructed, which brings a lot of trouble to the maintenance of models and databases, and is not conducive to the coordinated work of main equipment and auxiliary equipment. Based on this, in order to unify the modeling methods of main equipment and auxiliary equipment and improve the integrity of the modeling of main equipment and auxiliary equipment, electronic equipment can model the main equipment and auxiliary equipment from the spatial dimension, equipment dimension and business dimension respectively, and obtain the corresponding first model and second model.

[0030] That is to say, by unifying and improving the modeling dimensions, the electronic device can construct a first model corresponding to the main device from the spatial dimension, device dimension, and business dimension, and construct a second model corresponding to the auxiliary device from the same dimension. This modeling method not only unifies the modeling standards of the main device and the auxiliary device, but also ensures the integrity of the model, making it easier to maintain and manage. Furthermore, it can also lay the foundation for the collaborative work between the main device and the auxiliary device.

[0031] Step 120: The electronic device associates the first model with the second model based on the business requirements of the substation to obtain an integrated main and auxiliary equipment model.

[0032] In order to improve the synergy between the main equipment and the auxiliary equipment and break the chimney-like barriers between the two models formed by the original independent modeling of the main equipment and the auxiliary equipment, the electronic equipment can associate and fuse the first model and the second model according to the business needs of the substation to obtain an integrated main and auxiliary equipment model. It can be understood that the association and fusion is equivalent to building an interconnection channel between the first model and the second model, so that the two models can work better together. Thanks to the association and fusion of the two models, the model structure hierarchy can also be made clearer, thereby reducing the difficulty of model maintenance and improving model maintenance efficiency.

[0033] In an embodiment of the present application, the electronic device models the main device and the auxiliary device respectively based on multiple dimensions, and provides a relatively complete modeling standard for the modeling of the main device and the auxiliary device, which can make the constructed first model and the second model more perfect; then the first model and the second model are associated and integrated through business needs, so that an integrated main and auxiliary device model with a clearer hierarchical structure and easier maintenance can be obtained. In this process, on the one hand, the electronic equipment unifies and improves the modeling standard, and even if there are differences in the device models provided by different equipment manufacturers, compatibility can be achieved through the modeling standard, thereby improving the flexibility and scalability of the main and auxiliary device models. On the other hand, the unified and integrated modeling does not need to maintain multiple sets of models and databases at the same time, which can reduce the redundant configuration of data, make the model structure clearer, and thus help reduce the difficulty of maintenance and improve maintenance efficiency. On the other hand, the integrated main and auxiliary device model creates a channel for the interconnection of equipment originally built across regions, which can help the first model and the second model to work together.

[0034] In some embodiments, it can be understood that the construction of the model of the present application can be that the user interacts with the electronic device, the electronic device responds to the user's operation, and the construction is completed based on the modeling software carried by the electronic device. The electronic device can also be combined with a powerful large modeling model, parse the necessary files received and input them into the large modeling model, and complete the construction by running the large modeling model to execute the above modeling process. Specifically, different modeling methods can be selected according to the modeling conditions.

[0035] In some embodiments, the levels of the space dimension include regions, sub-regions, cabinets, and devices; the device dimension includes device models and device objects; and the first model and the second model corresponding to the main device and the auxiliary device are constructed from the space dimension, the device dimension, and the business dimension, respectively, including:

[0036] Step A1: Based on the spatial position relationship, the electronic device models the main device and the auxiliary device hierarchically with the area, sub-area, cabinet and device as the objects to obtain an initial first model and an initial second model.

[0037] Whether it is the main equipment or the auxiliary equipment, layer-by-layer modeling can be achieved based on the area, sub-area, cabinet and equipment.

[0038] Specifically, each level can be regarded as a construction object. Therefore, it includes area objects, sub-area objects, cabinet objects, and equipment objects. Among them, the attributes of the area object include floor name, location information, and height; the attributes of the sub-area object include: sub-area name, height, area to which it belongs, and area type; the attributes of the cabinet object include the cabinet name and the sub-area to which it belongs; the attributes of the equipment object include the equipment name, equipment type, cabinet to which it belongs, model, manufacturer, brand information, and commissioning date.

[0039] In short, hierarchical construction is a process of building from large to small. Whether it is a main device or an auxiliary device, the corresponding hierarchical objects can be associated according to the object attributes. For example, for the area object and sub-area object of the main device, the area object can contain sub-areas; thus, the area A associated with it can be determined according to the area and area type of sub-area a. For the sub-areas and screen cabinets of the auxiliary device, the sub-areas are provided with screen cabinets; thus, the area b associated with it can be determined according to the sub-area to which the screen cabinet I belongs.

[0040] It can be considered that the association relationship between objects at each level is also the progressive relationship in the modeling process of each level. Taking the modeling of the initial first model as an example, for the main device, its corresponding area can be constructed first, and each area can be modeled according to the attributes of the area object; then in each area, modeling is performed according to the attributes of the sub-areas and sub-area objects it contains; in each sub-area, modeling is performed according to the attributes of the screen cabinets and screen cabinet objects set therein; for each screen cabinet, modeling is performed according to the attributes of the equipment and equipment formations set therein, thereby obtaining the initial first model.

[0041] Step A2: The electronic device performs business dimension modeling on the initial first model and the initial second model respectively to obtain the first model and the second model.

[0042] The initial first model and the initial second model are equivalent to the basic physical structure and attribute description of the main device and the auxiliary device, and the business dimension modeling can further improve the two initial models. Therefore, the electronic device can improve the two initial models from the business dimension to obtain the first model and the second model.

[0043] In the embodiment of the present application, the initial first model and the initial second model constructed from the space and object dimensions of the electronic device are equivalent to the basic physical structure and attribute description of the device, and the business dimension modeling further improves these models.

[0044] In some embodiments, the business classification of the business dimension of the main device includes transformer, voltage level, interval, primary device, secondary device and signal; the business dimension of the auxiliary device includes subsystem, device data object and data attribute; the business dimension modeling is performed on the initial first model and the initial second model respectively to obtain the first model and the second model, including:

[0045] Step B1: The electronic device performs business classification modeling on the initial first model based on the transformer, interval, voltage level, primary equipment, secondary equipment and signal to obtain the first model.

[0046] For the initial first model, from the business dimension, it is necessary to configure transformers, bays, voltage levels, primary equipment, secondary equipment and signals.

[0047] Specifically, the attributes of the transformer include the transformer name, the plant to which the transformer belongs, and the number of transformer windings; the attributes of the voltage level include the voltage level name, the reference voltage level, and the plant to which the voltage level belongs; the attributes of the interval include the interval name, the voltage level to which the interval name belongs, and the interval type; the attributes of the primary equipment include the primary equipment name, the primary equipment type, the interval to which the primary equipment belongs, the panel cabinet to which the primary equipment belongs, the primary equipment model, the primary equipment manufacturer, the primary equipment nameplate information, and the primary equipment commissioning date; the attributes of the secondary equipment include the secondary equipment name, the interval to which the secondary equipment belongs, the secondary equipment template type, and the secondary equipment A / B network IP address; the signals include telesignaling signals, telemetering signals, telepulse signals, remote control objects, and teleadjustment.

[0048] Among them, the attributes of the telesignal signal include: telesignal name, secondary equipment, primary equipment, auxiliary equipment, telesignal subtype, telesignal channel number, associated remote control object, polarity and alarm level. The attributes of the telemetering signal include: telemetering name, secondary equipment, primary equipment, auxiliary equipment, telemetering subtype, telemetering channel number, associated remote adjustment object, transformation ratio and addition coefficient. The attributes of the telepulse signal include: telepulse name, secondary equipment, primary equipment and telepulse channel number. The attributes of remote control include: remote control name, secondary equipment, primary equipment and remote control channel number. The attributes of remote adjustment include: remote adjustment name, secondary equipment, primary equipment and remote adjustment channel number.

[0049] In other words, each category is modeled according to the corresponding attributes to improve the relevant supporting facilities of the substation monitoring business. By introducing the dynamic behavior and collaborative relationship of the main equipment in the actual business process, the model is made more comprehensive and applicable to actual operations, thereby improving the overall efficiency and reliability of the system.

[0050] Among them, the various services corresponding to the master device are associated based on the service attributes. For example, for voltage level and interval, the corresponding voltage level can be associated according to the voltage level to which the interval name belongs in the interval attribute. It can be understood that there may also be associations between the same type of services, such as remote control objects and remote signaling signals; remote adjustment objects and telemetry signals.

[0051] In particular, the association between the primary and secondary devices is described by the Bay and Equip nodes in the model file, where the logical node (Logical Node, LN) of the Bay identifies the secondary device through the intelligent electronic device (Intelligent Electronic Device, IED), and associates the Bay configured in the primary with the IED configured in the secondary; at the same time, the Equip node of the primary device is connected to the telemetry signal and telesignaling signal under the secondary device, thereby realizing the effective association and information transmission between the two.

[0052] Step B2: The electronic device performs business classification modeling on the initial second model based on the subsystem, device data objects and data attributes to obtain a second model.

[0053] For auxiliary devices, from a business perspective, they need to configure subsystems, device data objects, and data attributes.

[0054] Among them, the attributes of the subsystem include the subsystem name, subsystem type and administrator information; the subsystem types include the fire alarm system host, oil drainage and nitrogen injection fire extinguishing host, smoke probe, sound and light alarm, manual alarm, fire detector, fire hydrant, fire extinguisher, emergency lighting equipment, access control controller, electronic fence controller, access control, infrared dual detection, infrared counter-radiation, oil chromatography online monitoring device and main transformer online monitoring device.

[0055] In this embodiment, based on the physical infrastructure constructed in the aforementioned steps, the two initial models are further configured from the business dimension of the substation, thereby introducing the dynamic behavior and collaborative relationship of the main equipment and auxiliary equipment in the actual business process, making the model more comprehensive and applicable to actual operations, thereby improving the overall efficiency and reliability of the system.

[0056] In some instances, during the modeling process, the first model and the second model are associated through business needs, which means that in actual application, which device in the first model needs to be interconnected with which device in the second model, and then the association can be made, which helps to integrate the main and auxiliary equipment models.

[0057] For example, the data of "#1 main transformer measurement and control" in the first model needs to be obtained from the data of "#1 main transformer oil chromatogram online monitoring device" in the second model, so the two devices can be associated. The association of other devices is similar.

[0058] In the embodiment of the present application, the substation monitoring system based on the integrated main and auxiliary equipment model can support the needs of multi-professional data fusion analysis, data interaction, and application services, taking into account the needs of multi-professional master station systems such as production and operation support systems; breaking the chimney-like barrier model of different safety zones in the substation, realizing the interconnection of cross-zone equipment, gathering station-side main and auxiliary data, unifying information models and parameter configurations, greatly simplifying equipment debugging, and enhancing the substation's support capabilities for grid resource configuration under the new power system.

[0059] However, it is worth noting that in order to ensure that data transmission and access between different areas meet security requirements, data collection for input models is still collected according to security zones and then input into the substation monitoring system to achieve cross-regional data synchronization, providing a solid foundation for supporting multi-professional data fusion analysis, data interaction, and application service needs.

[0060] In some embodiments, the 61850 model file is a tree-like hierarchy, which is respectively physical device (PhysicalDevice, PHD) → logical device (Logical Device, LD) → LN → data object (Data Object, DO) → data attribute (Data Attribute, DA). It is found through research that for the unique identifier reference corresponding to the remote control object and the remote signaling signal, the reference of the remote control object is associated with the reference of the corresponding remote signaling signal. In order to improve the degree of automation of modeling, for each IED at the level of LD in the master device, the process of business classification modeling of the initial first model also includes:

[0061] Step C1: The electronic device analyzes at least one LN corresponding to the IED.

[0062] Step C2: The electronic device obtains a plurality of target remote control objects and a plurality of target remote signaling signals corresponding to each LN by analyzing each LN.

[0063] Step C3: the electronic device associates the multiple target remote control objects corresponding to each LN with the multiple target remote signaling signals one by one based on the remote control-remote signaling reference relationship.

[0064] The PHD may include multiple IEDs. To automatically associate the remote control objects and telesignaling signals under each IED, the electronic device may perform steps C1 to C3 for each IED. For simplicity, the automatic association between the remote control objects and telesignaling signals of one IED is used as an example for description.

[0065] The electronic device can first parse out all the LNs contained in the IED, and each LN includes multiple remote control objects and telesignaling signals to be associated. Thus, the electronic device can parse each LN to obtain multiple target remote control objects and multiple target telesignaling signals corresponding to each LN. From the above analysis, it can be seen that there is an association relationship between the reference of the remote control object and the reference of the corresponding telesignaling signal. Based on this, the electronic device can associate multiple target remote control objects corresponding to each LN with multiple target telesignaling signals one by one according to the remote control-telesignaling reference relationship.

[0066] In this embodiment, by mining the association relationship between the remote control objects and the telesignaling signals that can be associated, each LN of each IED can be analyzed in turn to obtain multiple target remote control objects and multiple target telesignaling signals corresponding to each LN. Then, the multiple target remote control objects and multiple target telesignaling signals corresponding to each LN can be automatically associated one by one according to the remote control-telesignaling reference relationship to improve the automation and efficiency of modeling.

[0067] In some embodiments, based on the remote control-telecommunication reference relationship, it can be known that only part of the reference between the telecommunication signal and the remote control object is different, and the rest are the same. Based on this, multiple target remote control objects corresponding to each LN are associated with multiple target telecommunication signals one by one, including:

[0068] Step D1, the electronic device generates a mapping relationship table corresponding to the telesignaling reference and the telesignaling signal based on all target telesignaling signals corresponding to each LN.

[0069] Step D2: The electronic device updates the remote control reference of each target remote control object corresponding to each LN according to the remote control-remote signaling reference relationship to obtain the corresponding quasi-remote signaling reference.

[0070] Step D3: associating the target remote control object with the corresponding target remote signal based on the mapping relationship table and the simulated remote signal reference.

[0071] Each LN corresponds to multiple target remote control objects and multiple target telesignaling signals, and only some of the contents of the references of the target remote control objects and target telesignaling signals that can be associated are different. Therefore, a mapping relationship table can be generated between all the target telesignaling signals corresponding to each LN and their telesignaling references, so that each remote control object can update the remote control reference based on the difference between the telesignaling reference and the remote control reference to obtain the corresponding quasi-telesignaling reference. It can be considered that the quasi-telesignaling reference is equivalent to the telesignaling reference, so the corresponding telesignaling reference and the target telesignaling signal corresponding to the telesignaling reference can be found from the mapping relationship table, so that two target remote control objects and target telesignaling signals that have an associated relationship can be associated. After traversing each remote control object, it means that each target remote control object corresponding to each LN of an IED and each target telesignaling signal have completed a one-to-one automatic association.

[0072] In some embodiments, since there is no cross-correlation relationship between target remote control objects and target telesignaling signals between different LNs, an automatic association can also be performed based on each target remote control object and each target telesignaling signal under one LN. Specifically, for each LN, a corresponding mapping relationship table can be generated according to each target telesignaling signal and telesignaling reference corresponding to the LN, and for each target remote control object corresponding to the LN, the corresponding quasi-telesignaling reference is obtained by updating the remote control reference, and then the associated target telesignaling signal is determined from the mapping relationship table, thereby achieving association.

[0073] In some examples, the reference format is: IEDName+LD+LN+FC+DO+DA.

[0074] Take CL1101 circuit breaker as an example:

[0075] The telesignal reference of the circuit breaker position is: CL1101CTRL / CBCSWI1$ST$Pos$stVal; the remote control object of the circuit breaker is: CL1101CTRL / CBCSWI1$CO$Pos$SBOw$ctlVal. The same parts of the telesignal reference and the remote control reference include: IEDName, all are CL1101; LD, all are CTRL; LN, all are CBCSWI1; DO, all are Pos. The different parts include: Function Constraints (FC), the telesignal reference and remote control reference are ST and CO respectively; DA, the telesignal reference and remote control reference are stVal and SBOw$ctlVal respectively.

[0076] Obviously, the difference between the remote control reference and the telesignaling reference lies in FC and DA. Therefore, in order to obtain the quasi-telesignaling reference, the electronic device can replace the FC and DA in the remote control reference, so that the replaced remote control reference becomes the quasi-telesignaling reference, so as to facilitate determining the target telesignaling signal corresponding to the target remote control object from the mapping relationship table, and then realize automatic association. This helps to reduce manual identification and manual association operations, improve configuration efficiency, and effectively avoid erroneous associations caused by manual misoperation, which helps to improve the accuracy of association.

[0077] In some instances, see Figure 2 , Figure 2 The figure shows a schematic diagram of the automatic association process between telesignaling signals and remote control objects, wherein "automatically associating each target telesignaling signal and each target remote control object under each LN based on the association relationship between telesignaling and remote control reference" corresponds to the aforementioned steps D1 to D3. Figure 2 It can be seen that the electronic device can obtain all target remote control objects and target telesignaling signals corresponding to the IED by parsing each LN of an IED at one time, and then obtain all telesignaling references and remote control references by parsing these two signals. Based on this, through the above steps D1 to D3, each target remote control object under each LN can be automatically associated with each target telesignaling signal. The above steps are performed for each other IED, thereby completing the automatic association of remote control objects and telesignaling signals under all IEDs.

[0078] In some instances, there are many subtypes of telemetry signals and telesignaling signals. Classifying the subtypes of these two signals can provide support for advanced applications such as data identification and intelligent alarm topology analysis. In order to improve the automation of classification, the relationship between the logical node (LN), data set (DataSet), data object name (DoName) and signal subtype of telemetry signals and telesignaling signals is mined, and a rule base is established to realize the automatic classification of subtypes of telemetry signals and telesignaling signals.

[0079] Specifically, in the process of performing business classification modeling on the initial first model, the following steps are also included:

[0080] Step E1: The electronic device constructs a first classification rule base based on the correspondence between the telemetry signal, the logical node of the telemetry signal, the data set of the telemetry signal, the data object name of the telemetry signal and the subtype of the telemetry signal.

[0081] Step E2: The electronic device constructs a second classification rule base based on the correspondence between the telesignaling signal, the logical node of the telesignaling signal, the data set of the telesignaling signal, the data object name of the telesignaling signal and the subtype of the telesignaling signal.

[0082] Step E3: The electronic device classifies the telemetry signal subtype and / or the telesignaling signal subtype based on the first classification rule base and / or the second classification rule base.

[0083] Telemetry subtypes can be divided into power factor, active power, reactive power, voltage, current, fixed value area group, protection measurement quantity, frequency, etc. Based on the expandable first classification rule base, automatic classification of telemetry subtypes is achieved according to the telemetry data set name, logical node name and data object name.

[0084] See for example Figure 3 Schematic diagram of the automatic classification process of telemetry subtypes:

[0085] If DoName contains "COS" or "TOTPF", the telemetry is classified as power factor.

[0086] If DoName contains "PA" or "PB" or "PC", the telemetry is classified as active power.

[0087] If DoName contains "VAR", the telemetry is classified as reactive power.

[0088] If DoName contains "UA" or "UB" or "UC", the telemetry is classified as voltage.

[0089] If DoName contains "IA" or "IB" or "IC", the telemetry is classified as current.

[0090] If DoName contains "ActSG", the telemetry is classified as a fixed value zone group.

[0091] If DoName contains "TMP", the telemetry is classified as temperature.

[0092] If LN contains "FRLO", the telemetry is classified as a protection measurement.

[0093] If DoName contains "FR" or "Hz", the telemetry is classified as frequency.

[0094] The subtypes of remote signaling signals can be divided into circuit breakers, isolating switches, protective soft pressure plates, etc. Based on the expandable second classification rule base, the automatic classification of remote signaling signal subtypes is realized according to the data set name, logical node name and data object name of the remote signaling signal.

[0095] like:

[0096] If LN contains "cswi", the remote signal is classified as a circuit breaker or disconnector.

[0097] If LN also contains "cb", the remote signal is further classified as a circuit breaker, otherwise it is identified as an isolating switch.

[0098] If the data set contains "dsRelayDin", the remote signaling is classified as a protection event.

[0099] It can be understood that the above two rule bases are classification rule bases that can support flexible expansion. In this way, when other newly defined subtypes of these two signals appear in the future, the classification rule base can be expanded, that is, the classification rules of the newly defined subtypes can be added to achieve comprehensive and real-time classification of the subtypes of telemetry signals and telesignaling signals, thereby providing a basis for advanced applications such as data recognition, intelligent alarms, and topology analysis.

[0100] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0101] Corresponding to the modeling method of the substation monitoring system in the above embodiment, Figure 4 A structural block diagram of a modeling device 4 of a substation monitoring system provided in an embodiment of the present application is shown. For ease of explanation, only the parts related to the embodiment of the present application are shown.

[0102] Reference Figure 4 , the modeling device 4 of the substation monitoring system includes:

[0103] A construction module 41 is used to construct a first model and a second model corresponding to the main device and the auxiliary device respectively from a spatial dimension, a device dimension, and a business dimension;

[0104] The association module 42 is used to associate the first model with the second model based on the business requirements of the substation to obtain an integrated main and auxiliary equipment model.

[0105] Optionally, the levels of the space dimension include areas, sub-areas, cabinets, and equipment; the equipment dimension includes equipment models and equipment objects; the above-mentioned construction module 41 may include:

[0106] The first construction unit is used to model the main equipment and the auxiliary equipment hierarchically based on the spatial position relationship with the area, sub-area, cabinet and equipment as objects, so as to obtain an initial first model and an initial second model;

[0107] A second construction unit is used to perform business dimension modeling on the initial first model and the initial second model respectively to obtain the first model and the second model;

[0108] Among them, various hierarchical objects corresponding to the main device and the auxiliary device are associated based on object attributes.

[0109] Optionally, the signal includes a remote control object and a remote signal, and the modeling device 4 may include an automatic association module for:

[0110] In the process of performing business classification modeling on the initial first model, for each intelligent electronic device in the main device:

[0111] Parsing at least one logical node corresponding to the intelligent electronic device;

[0112] By analyzing each logical node, multiple target remote control objects and multiple target remote signaling signals corresponding to each logical node are obtained;

[0113] Based on the remote control-telemetering reference relationship, multiple target remote control objects corresponding to each logical node are associated with multiple target telemetering signals one by one.

[0114] Optionally, the automatic association module includes an automatic association unit, which is used to:

[0115] Generate a mapping relationship table corresponding to the telesignaling reference and the telesignaling signal based on all target telesignaling signals corresponding to each logical node;

[0116] For each target remote control object corresponding to each logical node:

[0117] Update the remote control reference of the target remote control object according to the remote control-remote signal reference relationship to obtain the corresponding quasi-remote signal reference;

[0118] The target remote control object is associated with the corresponding target remote signal based on the mapping relationship table and the quasi-remote signal reference.

[0119] Optionally, the reference format is: IEDName+LD+LN+FC+DO+DA; the difference between the remote signal reference and the remote control reference is FC and DA; the automatic association unit is specifically used for:

[0120] Replace FC and DA in the remote control reference of the target remote control object to obtain the quasi-remote signal reference.

[0121] Optionally, the signal includes a telemetry signal and a telesignaling signal, and the modeling device 4 may include an automatic classification module for:

[0122] In the process of business classification modeling of the initial first model, a first classification rule base is constructed based on the correspondence between the telemetry signal, the logical node of the telemetry signal, the data set of the telemetry signal, the data object name of the telemetry signal and the subtype of the telemetry signal;

[0123] A second classification rule base is constructed based on the correspondence between the telesignaling signal, the logical node of the telesignaling signal, the data set of the telesignaling signal, the data object name of the telesignaling signal and the subtype of the telesignaling signal;

[0124] The telemetry signal subtype and / or the telesignaling signal subtype are classified based on the first classification rule base and / or the second classification rule base.

[0125] It should be noted that the information interaction and execution process between the above-mentioned devices / units are based on the same concept as the method embodiment of the present application. Their specific functions and technical effects can be found in the method embodiment part and will not be repeated here.

[0126] Figure 5 This is a schematic diagram of the physical structure of an electronic device provided by an embodiment of the present application. Figure 5 As shown, the electronic device 5 of this embodiment includes: at least one processor 50 ( Figure 5 Only one processor is shown in the figure), a memory 51, and a computer program 52 stored in the memory 51 and executable on at least one processor 50. When the processor 50 executes the computer program 52, the steps in any of the above-mentioned embodiments of the modeling method for the substation monitoring system are implemented, for example Figure 1 Steps 110-120 are shown.

[0127] The processor 50 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0128] In some embodiments, the memory 51 may be an internal storage unit of the electronic device 5, such as a hard disk or memory of the electronic device 5. In other embodiments, the memory 51 may also be an external storage device of the electronic device 5, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the electronic device 5.

[0129] Furthermore, the memory 51 may include both an internal storage unit of the electronic device 5 and an external storage device. The memory 51 is used to store operating means, application programs, boot loaders, data and other programs, such as program codes of computer programs, etc. The memory 51 may also be used to temporarily store data that has been output or is to be output.

[0130] The technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the above-mentioned device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0131] An embodiment of the present application further provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments can be implemented.

[0132] An embodiment of the present application provides a computer program product. When the computer program product runs on an electronic device, the electronic device can implement the steps in the above-mentioned method embodiments when executing the computer program product.

[0133] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, which can be completed by instructing the relevant hardware through a computer program. The above-mentioned computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Among them, the above-mentioned computer program includes computer program code, and the above-mentioned computer program code can be in source code form, object code form, executable file or some intermediate form. The above-mentioned computer-readable medium may at least include: any entity or device that can carry the computer program code to the camera / electronic device, recording medium, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electrical carrier signal, telecommunication signal and software distribution medium. For example, a USB flash drive, a mobile hard disk, a disk or an optical disk.

[0134] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0135] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0136] In the embodiments provided in the present application, it should be understood that the disclosed devices / network equipment and methods can be implemented in other ways. For example, the device / network equipment embodiments described above are merely schematic. For example, the division of the above modules or units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0137] The units described above as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0138] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A modeling method for a substation monitoring system, characterized in that: include: Constructing a first model and a second model corresponding to the main device and the auxiliary device respectively from the spatial dimension, the device dimension and the business dimension; The first model and the second model are associated based on the business requirements of the substation to obtain an integrated main and auxiliary equipment model.

2. The modeling method according to claim 1, characterized in that: The levels of the space dimension include area, sub-area, cabinet and equipment; the equipment dimension includes equipment model and equipment object; The first model and the second model corresponding to the main device and the auxiliary device are respectively constructed from the space dimension, the device dimension and the business dimension, including: Based on the spatial position relationship, the main device and the auxiliary device are modeled hierarchically with the area, the sub-area, the cabinet and the device as objects to obtain an initial first model and an initial second model; Performing the business dimension modeling on the initial first model and the initial second model respectively to obtain the first model and the second model; Among them, various types of hierarchical objects corresponding to the main device and the auxiliary device are associated based on object attributes.

3. The modeling method according to claim 2, characterized in that: The business classification of the business dimension of the main device includes transformer, voltage level, interval, primary device, secondary device and signal; the business dimension of the auxiliary device includes subsystem, device data object and data attribute; the business dimension modeling is performed on the initial first model and the initial second model respectively to obtain the first model and the second model, including: Performing business classification modeling on the initial first model based on the transformer, the bay, the voltage level, the primary device, the secondary device, and the signal to obtain the first model; Performing business classification modeling on the initial second model based on the subsystem, the device data object and the data attribute to obtain the second model; Among them, various types of services corresponding to the main device are associated based on service attributes.

4. The modeling method according to claim 3, characterized in that: The signal includes a remote control object and a remote signal. In the process of performing business classification modeling on the initial first model, the following is also included: For each intelligent electronic device in the master device: Parsing at least one logical node corresponding to the intelligent electronic device; By parsing each of the logical nodes, a plurality of target remote control objects and a plurality of target remote signaling signals corresponding to each logical node are obtained; Based on the remote control-telemetering reference relationship, the multiple target remote control objects corresponding to each of the logical nodes are associated one by one with the multiple target telemetering signals.

5. The modeling method according to claim 4, characterized in that: The step of associating the plurality of target remote control objects corresponding to each of the logical nodes with the plurality of target remote signaling signals based on the remote control-remote signaling reference relationship comprises: Generate a mapping relationship table corresponding to telesignaling references and telesignaling signals based on all the target telesignaling signals corresponding to the logical nodes; For each of the target remote control objects corresponding to each of the logical nodes: According to the remote control-telecommunication reference relationship, the remote control reference of the target remote control object is updated to obtain the corresponding quasi-telecommunication reference; Based on the mapping relationship table and the simulated telesignaling reference, the target remote control object is associated with the corresponding target telesignaling signal.

6. The modeling method according to any one of claims 5, characterized in that: The reference format is: IEDName+LD+LN+FC+DO+DA; the difference between the telesignal reference and the remote control reference is FC and DA; the reference of the target remote control object is updated according to the remote control-telesignal reference relationship to obtain the corresponding quasi-telesignal reference, including: The FC and DA in the remote control reference of the target remote control object are replaced to obtain the simulated remote signal reference.

7. The modeling method according to claim 3, characterized in that: The signal includes a telemetry signal and a telesignaling signal. In the process of performing business classification modeling on the initial first model, the following is also included: Building a first classification rule base based on the correspondence between the telemetry signal, the logical node of the telemetry signal, the data set of the telemetry signal, the data object name of the telemetry signal and the telemetry signal subtype; Building a second classification rule base based on the correspondence between the telesignaling signal, the logical node of the telesignaling signal, the data set of the telesignaling signal, the data object name of the telesignaling signal and the subtype of the telesignaling signal; The telemetry signal subtype and / or the telesignaling signal subtype are classified based on the first classification rule base and / or the second classification rule base.

8. A modeling device for a substation monitoring system, characterized in that: include: A construction module, used to construct a first model and a second model corresponding to the main device and the auxiliary device respectively from a spatial dimension, a device dimension, and a business dimension; The association module is used to associate the first model with the second model based on the business needs of the substation to obtain an integrated main and auxiliary equipment model.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the modeling method for the substation monitoring system according to any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the modeling method for a substation monitoring system according to any one of claims 1 to 7 is implemented.

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