A method for dynamically displaying associated objects of a dynamic ontology business model

Abstract

The application discloses a method for dynamically displaying associated objects of a dynamic ontology service model. The method dynamically displays an implementation process of an early warning relationship of a target object and an associated object pointed by an isolated alarm object, so that a user can clearly and intuitively view the associated object and the early warning relationship. The method specifically comprises the following steps: displaying a target object, an associated object having a fault association relationship with the target object and a fault object associated with the target object according to a selection operation of the user; acquiring an isolated alarm object of a non-direct association of the target object; displaying a path from the target object to the selected isolated alarm object; judging whether there is an association relationship from the isolated alarm object to the fault object according to a user early warning display instruction; if the result of the judgment is yes, taking the isolated alarm object as an early warning event of both the target object and the associated object; and displaying an early warning relationship from the isolated alarm object to the fault object.

Description

Technical Field

[0001] This invention mainly relates to the field of semantic fusion business model technology, and in particular to a method for dynamically displaying associated objects of a dynamic ontology business model. Background Technology

[0002] In recent years, with the rapid development of the power industry, the number of distribution network devices in the power grid system has become increasingly large. The traditional mode of the power grid system is to conduct regular inspections and maintenance on these distribution network devices. However, the inspection process requires long-term power outages and also poses safety hazards such as missed inspections due to differences in the capabilities of maintenance personnel. To ensure power safety, the power grid system has now fully launched dynamic monitoring of the operating status of distribution network equipment. After acquiring data from various instruments and sensors that monitor the operating parameters of distribution network equipment at the power field, the power grid system processes this real-time data and cached historical data through a series of processing rules in the power grid system's information processing system. This results in the output of the operating status of the distribution network equipment and the issuance of alarms for abnormal conditions of the distribution network equipment. The current problem is that, with the rapid development of information technology, the real-time data generated by the power grid system is too massive. Existing data processing systems struggle to discover and extract meaningful data in a timely manner when faced with such large amounts of real-time data. They need to import all the data into a database and then use statistical analysis tools for analysis. Although some meaningful data can be obtained, real-time performance cannot be guaranteed, and timely processing of some meaningful data is not possible. Furthermore, the available statistical analysis tools are limited by the data relationship identification capabilities of system administrators. For example, in the data relationship processing of the current power grid system's operation and maintenance management, the associated objects of distribution network equipment and the objects with which they have early warning relationships are stored in separate models. People need to search for the relationships of each object in multiple models and then build new models for display, making it difficult to clearly and intuitively view the associated objects and their early warning relationships. Summary of the Invention

[0003] The inventors envisioned a dynamic ontology semantic fusion platform as an open, autonomous semantic fusion and visualization exploration analysis application platform that utilizes big data analytics and knowledge graph technologies to meet the needs of data analysis, semantic fusion, and business exploration. By employing dynamic ontology semantic modeling methods, multi-source heterogeneous data fusion, and complex event definitions, it is possible to dynamically simulate and display unobservable aspects of the power grid system.

[0004] The technical problem to be solved by this invention is how to clearly and intuitively view associated objects and their warning relationships.

[0005] To address the aforementioned technical problems, this invention provides a method for dynamically displaying associated objects in a dynamic ontology business model, comprising the following steps:

[0006] Step A: Based on the user's selection, display the target object, associated objects that have a fault association with the target object, and the associated fault objects; the fault association means that the target object and the associated objects are associated with the same fault object;

[0007] Step B: Obtain the alarm event objects that are not directly related to the target object, define them as isolated alarm objects, and display the path from the target object to the selected isolated alarm object according to the user's alarm selection command;

[0008] Step C: Based on the user's warning display command, determine whether there is a correlation between the isolated alarm object and the faulty object. If the determination result is yes, then treat the isolated alarm object as a warning event for both the target object and the associated object, and display the warning relationship between the isolated alarm object and the faulty object.

[0009] Furthermore, step A, based on the user's selection operation, specifically refers to: displaying associated objects and their association with the target object based on the user's selection operation of the target object's association relationship and / or associated objects; determining whether the associated objects and the target object have a fault association relationship; and if the determination result is yes, then performing the display.

[0010] Furthermore, step A, based on the user's selection operation, specifically refers to: obtaining the alarm event object of the target object; determining whether the fault object has an associated object with a fault relationship with the target object based on the user's selection operation of the fault object associated with the alarm event object; and displaying the result if the result is yes.

[0011] Furthermore, the alarm relationship between the associated object and the alarm event object is displayed.

[0012] Furthermore, in step A, the fact that the target object and the associated object point to the same fault object means that the fault object includes faults that occur simultaneously in both the target object and the associated object.

[0013] Furthermore, in step A, the target object and the associated object pointing to the same fault object means that the target object and the associated object experienced causally related faults within a preset time period.

[0014] Furthermore, in step B, the path from the target object to the selected isolated alarm object refers to: sequentially displaying the next-level objects of the target object and the association between the next-level objects and the already displayed previous-level objects.

[0015] Furthermore, in step B, the isolated alarm object refers to an alarm event object that is indirectly associated with the target object through one or more non-alarm event objects.

[0016] Furthermore, the number P of non-alarm event objects sandwiched between the isolated alarm object and the alarm event object does not exceed a preset N.

[0017] Furthermore, the value of N is determined based on the computing power of the dynamic ontology business model or the preset computing time.

[0018] In this embodiment of the power system, after establishing an instance of the target object on the dynamic ontology service model, the dynamic ontology service model is updated according to the relationship and data of newly added distribution network equipment. The target object is then displayed on the canvas based on the user's selection. The associated objects of the dynamic ontology service model are then dynamically displayed through the following steps: displaying the user-selected target object, associated objects with fault relationships to the target object, and the associated fault objects; obtaining alarm event objects not directly associated with the target object, defining them as isolated alarm objects, and displaying the path from the target object to the isolated alarm object; the system background automatically searches for the relationship between the isolated alarm object and the fault object, and once found, uses the isolated alarm object as a warning event for both the target object and the associated objects, displaying the warning relationship from the isolated alarm object to the fault object. Through the above method of dynamically displaying the associated objects of the dynamic ontology service model, the relationship between the target object and associated objects can be directly displayed on the canvas. A preset program guides the user to operate on the system, thereby dynamically displaying the implementation process of the warning relationship from the isolated alarm object to the target object and associated objects, allowing the user to clearly and intuitively view the associated objects and their warning relationships. Attached Figure Description

[0019] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below.

[0020] Figure 1 This is a flowchart of a method for dynamically displaying associated objects of a dynamic ontology business model provided by the present invention;

[0021] Figure 2 This is a schematic diagram illustrating the display state of the target object in the method for dynamically displaying associated objects of a dynamic ontology business model provided by the present invention.

[0022] Figure 3 This is a schematic diagram illustrating the display status of the target object and associated objects in the method for dynamically displaying associated objects of a dynamic ontology business model provided by the present invention.

[0023] Figure 4This is another schematic diagram of the display state of the target object of the method for dynamically displaying associated objects of a dynamic ontology business model provided by the present invention.

[0024] Figure 5 The target object of the method for dynamically displaying associated objects in a dynamic ontology business model provided by this invention is... Figure 4 A status diagram showing the next level down.

[0025] Figure 6 This is a schematic diagram of the state of the target object, associated objects, and their warning relationships in the method for dynamically displaying associated objects of a dynamic ontology business model provided by the present invention. Detailed Implementation

[0026] The present invention will be further described in detail below with reference to specific embodiments.

[0027] In this embodiment, the dynamic ontology semantic fusion platform is deployed on a server. The server integrates ETL tools, supports multi-source heterogeneous data acquisition, and the administrator logs into the dynamic ontology semantic fusion platform on the server client. After establishing a dynamic ontology business model related to the power system's distribution network equipment, data acquisition operations are performed in the intelligent access module of the data management function to construct business instances. When distribution network equipment is added or changed in the system, the administrator configures the early warning relationship for the updated system, especially for newly added distribution network equipment (such as switching equipment associated with transformers), using the object relationship association method for early warning events implemented by the dynamic ontology business model detailed below. The specific process is as follows: Figure 1 As shown below, the specific steps of this method will be explained in detail.

[0028] The server system displays the target object, related objects with fault associations to the target object, and the associated fault objects based on the user's selected operation.

[0029] Specifically, "based on user selection" refers to: displaying associated objects and their relationships with the target object based on the user's selection of the target object's associations and / or associated objects; determining whether the associated objects and the target object have a faulty association relationship; and displaying the associated objects if the determination result is yes. The user creates an object node "transformer" on the canvas as the target object, and the server system provides pre-configured... Figure 2 The system displays the associated objects (switching equipment, faults, alarm events, area locations, maintenance events, inspection events, etc.) or relationships (associated equipment, occurrence, generation, location, triggering, execution, etc.) of the target transformer for the user to select. After the user selects, the system automatically obtains and displays the selected relationships or associated objects that have a fault relationship with the target object.

[0030] Alternatively, based on the user's selection, the system can be modified to retrieve the alarm event object of the target object. Based on the user's selection of the matching fault objects associated with that alarm event object, it can be determined whether the fault object has a fault-related association with the target object. If the determination result is yes, the associated object is displayed. Furthermore, if... Figure 3 As shown, this displays the alarm relationships between associated objects and alarm event objects.

[0031] like Figure 3 As shown, for the target equipment, the transformer, its directly related distribution network equipment is the switchgear. This switchgear and the transformer are linked through a relationship pointing to the same fault object (circuit breaker). In practice, if a fault occurs simultaneously in both the target and related objects—for example, when faults corresponding to different switchgear items in the switchgear's attributes occur, and the transformer itself also experiences a corresponding fault—then the system considers this fault to be a fault object. Alternatively, if the target and related objects experience causally related faults within a preset time period—for example, a circuit breaker failure in the switchgear leading to a circuit breaker failure in the transformer itself—then the system also considers this fault to be a fault object.

[0032] The server system then dynamically displays the target object, its associated objects, and alert relationships. Specifically, it retrieves the alarm event objects that are not directly related to the target object, defines them as isolated alarm objects, and displays the path from the target object to the selected isolated alarm object based on the user's alarm selection command, such as... Figure 4 and 5 As shown: The system sequentially displays the next-level objects of the target object and their relationships with the already displayed parent objects. Furthermore, based on the user's warning display command, it determines whether a relationship exists between the isolated alarm object and the faulty object. If the determination result is yes, the isolated alarm object is displayed as a warning event for both the target object and its associated object, as shown below. Figure 5 The diagram shows the early warning relationship between isolated alarm objects and faulty objects.

[0033] Here, an isolated alarm object refers to an alarm event object indirectly associated with a target object through one or more non-alarm event objects. The number P of non-alarm event objects sandwiched between the isolated alarm object and the alarm event object is predetermined, with an upper limit N of P based on the computing power of the dynamic ontology business model or a preset computing time. In this embodiment, the upper limit N is 3. For example... Figure 5The alarm event generated by the weather factor object is used as the isolated alarm object. This alarm event is indirectly associated with the target equipment transformer through the two layers of event relationships of weather factor and regional location. That is, the number P of non-alarm event objects sandwiched between the isolated alarm object and the alarm event object is 2. The system confirms that the value of the number P2 is less than the upper limit N value of 3, and confirms that the alarm event generated by the weather factor object is used as the isolated alarm object.

[0034] Among them, such as Figure 6 The "alarm event" attribute of the isolated alarm object includes multiple alarm trigger conditions, such as strong wind warnings, lightning warnings, and heavy rain warnings. The strong wind warning trigger condition is associated with a tree-falling accident, which in turn is associated with a fault object related to a transformer. The number of objects (tree-falling accidents) sandwiched between the isolated alarm object and the fault object, Q, is 1. The system determines that if Q is less than P (2), the number of non-alarm event objects sandwiched between the isolated alarm object and the alarm event object, then the isolated alarm event is indeed associated with a fault object. This constraint reduces computation in complex events.

[0035] The system verifies whether all objects sandwiched between the isolated alarm object and the fault object (tree collapse accident in this embodiment) are associated with the target object. The tree collapse accident is indirectly associated with the target object transformer through environmental factor objects and regional location. That is, the system determines that the object sandwiched in the middle is indeed associated with the target object transformer. The above restrictions reduce the impact of irrelevant events and objects on the target object in complex events.

[0036] Specifically, a warning relationship is established between isolated alarm objects and the target and associated objects within the faulty objects. When weather-related alarm events are used as warning conditions for the target transformer, and switching equipment is considered an associated device linked to the target transformer, the system can directly transfer this alarm relationship of the target transformer to the associated equipment, simultaneously using weather-related alarm events as its warning conditions.

[0037] In this embodiment of the power system, after establishing an instance of the target object on the dynamic ontology service model, the dynamic ontology service model is updated according to the relationship and data of newly added distribution network equipment. The target object is then displayed on the canvas based on the user's selection. The associated objects of the dynamic ontology service model are then dynamically displayed through the following steps: displaying the user-selected target object, associated objects with fault relationships to the target object, and the associated fault objects; obtaining alarm event objects not directly associated with the target object, defining them as isolated alarm objects, and displaying the path from the target object to the isolated alarm object; the system background automatically searches for the relationship between the isolated alarm object and the fault object, and once found, uses the isolated alarm object as a warning event for both the target object and the associated objects, displaying the warning relationship from the isolated alarm object to the fault object. Through the above method of dynamically displaying the associated objects of the dynamic ontology service model, the relationship between the target object and associated objects can be directly displayed on the canvas. A preset program guides the user to operate on the system, thereby dynamically displaying the implementation process of the warning relationship from the isolated alarm object to the target object and associated objects, allowing the user to clearly and intuitively view the associated objects and their warning relationships.

[0038] The above description is merely an embodiment of the present invention and does not limit the scope of patent protection. Any non-substantial changes or substitutions made by those skilled in the art based on the present invention will still fall within the scope of patent protection.

Claims

1. A method for dynamically displaying associated objects in a dynamic ontology business model, characterized by: Includes the following steps: Step A: Based on the user's selection, display the target object, associated objects that have a fault association with the target object, and the associated fault objects; the fault association means that the target object and the associated objects are associated with the same fault object; Step B: Obtain the alarm event objects that are not directly related to the target object, define them as isolated alarm objects, and display the path from the target object to the selected isolated alarm object according to the user's alarm selection command; The isolated alarm object refers to the alarm event object that is indirectly associated with the target object through one or more non-alarm event objects; Step C: Based on the user's warning display command, determine whether there is a correlation between the isolated alarm object and the faulty object. If the determination result is yes, then treat the isolated alarm object as a warning event for both the target object and the associated object, and display the warning relationship between the isolated alarm object and the faulty object.

2. The method for dynamically displaying associated objects of a dynamic ontology business model according to claim 1, characterized in that, The step A based on the user's selection operation specifically refers to: displaying associated objects and the association between associated objects and the target object based on the user's selection operation of the target object's association relationship and / or associated objects, determining whether the associated objects and the target object have a fault association relationship, and if the determination result is yes, then performing the display.

3. The method for dynamically displaying associated objects of a dynamic ontology business model according to claim 1, characterized in that, The step A based on the user's selection operation specifically refers to: obtaining the alarm event object of the target object, and determining whether there is an associated object with a fault relationship with the target object based on the user's selection operation of the fault object associated with the alarm event object. If the determination result is yes, then the display is performed.

4. The method for dynamically displaying associated objects of a dynamic ontology business model according to claim 3, characterized in that, Displays the alarm relationships between the associated object and the alarm event object.

5. The method for dynamically displaying associated objects of a dynamic ontology business model according to claim 1, characterized in that, in In step A, the fact that the target object and the associated object point to the same fault object means that the fault object includes the fault that occurs simultaneously in both the target object and the associated object.

6. The method for dynamically displaying associated objects of a dynamic ontology business model according to claim 1, characterized in that, in In step A, the target object and the associated object pointing to the same fault object means that the target object and the associated object experienced faults with a causal relationship within a preset time period.

7. The method for dynamically displaying associated objects of a dynamic ontology business model according to claim 1, characterized in that, in In step B, the path from the target object to the selected isolated alarm object refers to: sequentially displaying the next-level objects of the target object and the association between the next-level objects and the already displayed previous-level objects.

8. The method for dynamically displaying associated objects of a dynamic ontology business model according to claim 1, characterized in that, The number P of non-alarm event objects sandwiched between the isolated alarm object and the alarm event object does not exceed a preset number N.

9. The method for dynamically displaying associated objects of a dynamic ontology business model according to claim 8, characterized in that, The value of N is determined based on the computing power of the dynamic ontology business model or the preset computing time.

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