Transformer substation electromagnetic environment data determination method and device, computer equipment, readable storage medium and program product

Abstract

The invention relates to a transformer substation electromagnetic environment data determination method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: dividing a plurality of simulation objects in the transformer substation into a plurality of simulation areas; performing secondary division on a target simulation area with the electromagnetic influence factor meeting a preset condition in the plurality of simulation areas to obtain a plurality of updated simulation areas; the preset condition at least comprises one of an equipment intensity threshold value and an environment complexity threshold value; acquiring electromagnetic change information of the plurality of simulation objects, and determining simulation difficulty levels of the plurality of simulation areas based on the electromagnetic change information; and based on the simulation difficulty level, allocating a corresponding number of processors to the plurality of simulation areas, so that the processors perform electromagnetic environment simulation processing on the corresponding simulation areas to determine electromagnetic environment data. By adopting the method, the simulation efficiency of the electromagnetic environment of the transformer substation can be improved.

Description

Technical Field

[0001] The present application relates to the technical field of electromagnetic environment monitoring, and in particular to a method, apparatus, computer equipment, computer-readable storage medium, and computer program product for determining electromagnetic environment data of a substation. Background Art

[0002] During substation operation, operations such as disconnector opening and closing can trigger electromagnetic transients. The electromagnetic interference generated by these transients not only affects the normal operation of secondary equipment but, in severe cases, can also lead to performance degradation or even permanent damage.

[0003] Monitoring and analyzing electromagnetic transients in substations is crucial for ensuring the safe operation of power systems. Complex, high-frequency alternating electromagnetic fields exist in the substation's vicinity, significantly impacting the substation's electromagnetic environment. Furthermore, the physical structure model of the transmission line is crucial for determining both lumped and distributed parameters, thus impacting the accuracy of electromagnetic transient simulation results. Therefore, accurate simulation of the electromagnetic environment is essential before analyzing electromagnetic transient characteristics. However, the efficiency of determining electromagnetic environment data in related technologies is low. Summary of the Invention

[0004] Based on this, it is necessary to provide a method, device, computer equipment, computer-readable storage medium and computer program product for determining substation electromagnetic environment data that can improve simulation efficiency in response to the above technical problems.

[0005] In a first aspect, the present application provides a method for determining electromagnetic environment data of a substation, comprising:

[0006] Divide multiple simulation objects in the substation into multiple simulation areas;

[0007] Performing secondary division on the target simulation areas whose electromagnetic influence factors satisfy preset conditions in the multiple simulation areas to obtain multiple updated simulation areas; the preset conditions include at least one of a device density threshold and an environment complexity threshold;

[0008] Acquiring electromagnetic change information of the plurality of simulation objects, and determining simulation difficulty levels of the plurality of simulation areas based on the electromagnetic change information;

[0009] Based on the simulation difficulty level, a corresponding number of processors are allocated to the multiple simulation areas respectively, so that the processors perform electromagnetic environment simulation processing on the corresponding simulation areas to determine electromagnetic environment data.

[0010] In one embodiment, the target simulation area whose electromagnetic influence factor satisfies a preset condition is divided twice among the multiple simulation areas to obtain multiple updated simulation areas, including:

[0011] Acquiring device information of the multiple simulation objects and environmental information of the multiple simulation areas;

[0012] In response to a change in device information where a simulation object exists, determining a simulation area within an influence range of the simulation object as a first simulation area;

[0013] In response to a change in the environmental information of the simulation area, determining the simulation area as a second simulation area;

[0014] A target simulation area whose electromagnetic influence factor satisfies a preset condition in the first simulation area and the second simulation area is divided twice to obtain a plurality of updated simulation areas.

[0015] In one embodiment, after obtaining the device information of the plurality of simulation objects and the environment information of the plurality of simulation areas, the method further includes:

[0016] Based on the environmental information of the multiple simulation areas, the number of radiation probes in the multiple simulation areas is determined respectively.

[0017] In one embodiment, obtaining electromagnetic change information of the multiple simulation objects and determining the simulation difficulty levels of the multiple simulation areas based on the electromagnetic change information includes:

[0018] Acquiring electromagnetic change information, environmental change information, and a coupling relationship between the electromagnetic change information and the environmental change information of the multiple simulation objects;

[0019] The simulation difficulty levels of the multiple simulation areas are determined based on the electromagnetic change information, the environmental change information, and the coupling relationship.

[0020] In one embodiment, allocating a corresponding number of processors to the plurality of simulation areas based on the simulation difficulty level, so that the processors perform electromagnetic environment simulation processing on the corresponding simulation areas to determine electromagnetic environment data, includes:

[0021] Based on the type of simulation task, determine the corresponding target type of processor;

[0022] Based on the simulation difficulty level, a corresponding number of target type processors are allocated to the multiple simulation areas respectively, so that the target type processors perform electromagnetic environment simulation processing on the corresponding simulation areas to determine electromagnetic environment data.

[0023] In one embodiment, after allocating a corresponding number of processors to the plurality of simulation areas based on the simulation difficulty level, so that the processors perform electromagnetic environment simulation processing on the corresponding simulation areas to determine electromagnetic environment data, the method further includes:

[0024] The electromagnetic environment data is sent to a display terminal so that the display terminal can visually display the electromagnetic environment data.

[0025] In a second aspect, the present application further provides a device for determining electromagnetic environment data of a substation, comprising:

[0026] A division device, used to divide multiple simulation objects in the substation into multiple simulation areas;

[0027] An updating device, configured to perform secondary division on a target simulation area whose electromagnetic influence factor satisfies a preset condition among the multiple simulation areas, to obtain multiple updated simulation areas; the preset condition comprising at least one of a device density threshold and an environment complexity threshold;

[0028] a determining device for acquiring electromagnetic change information of the plurality of simulation objects and determining simulation difficulty levels of the plurality of simulation areas based on the electromagnetic change information;

[0029] The processing device is used to allocate a corresponding number of processors to the multiple simulation areas based on the simulation difficulty level, so that the processors perform electromagnetic environment simulation processing on the corresponding simulation areas to determine electromagnetic environment data.

[0030] In a third aspect, the present application further provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of any of the above methods when executing the computer program.

[0031] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, which implements the steps of any of the above-described methods when the computer program is executed by a processor.

[0032] In a fifth aspect, the present application also provides a computer program product, comprising a computer program, which implements the steps of any of the above methods when executed by a processor.

[0033] The above-mentioned method, device, computer equipment, computer-readable storage medium and computer program product for determining the electromagnetic environment data of a substation divide the simulation objects within the substation into multiple independent simulation areas, set preset conditions for the electromagnetic impact factor (such as equipment density threshold, environment complexity threshold, etc.), further subdivide the target simulation areas that meet the conditions, and allocate a corresponding number of processors to each simulation area for simulation processing according to the simulation difficulty level of the simulation area. This can adjust the data processing resources based on the number of simulation elements involved in the simulation processing and the simulation difficulty level, thereby improving the efficiency of determining the electromagnetic environment data, that is, improving the simulation efficiency of the substation electromagnetic environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following briefly introduces the drawings required for use in the embodiments of the present application or related technical descriptions. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying any creative work.

[0035] Figure 1 1 is a flow chart of a method for determining electromagnetic environment data of a substation in one embodiment;

[0036] Figure 2 Schematic diagram of the process of step S104 in one embodiment;

[0037] Figure 3 1 is a flow chart of a method for determining electromagnetic environment data of a substation in another embodiment;

[0038] Figure 4 Schematic diagram of the process of step S106 in one embodiment;

[0039] Figure 5 Schematic diagram of the process of step S108 in one embodiment;

[0040] Figure 6 1 is a flow chart of a method for determining electromagnetic environment data of a substation in another embodiment;

[0041] Figure 7 is a structural block diagram of a device for determining electromagnetic environment data of a substation in one embodiment;

[0042] Figure 8 FIG. 1 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0043] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0044] The volume of electromagnetic data generated in substations fluctuates significantly under different environments. For example, components such as transformers, high-voltage circuit breakers, disconnectors, voltage transformers, current transformers, high-voltage reactors, high-voltage capacitors, busbars, and high-voltage lightning arresters generate electromagnetic interference during operation. The physical structure of the transmission line, including tower type, phase sequence arrangement, soil resistivity parameters, and conductor specifications, also affects the accuracy of electromagnetic transient simulation results. Related technologies are unable to dynamically adjust to the volume of electromagnetic data during data processing, resulting in low electromagnetic environment simulation efficiency.

[0045] Based on this, Figure 1 As shown, the embodiment of the present application provides a method for determining electromagnetic environment data of a substation. This embodiment uses the method applied to a terminal as an example for illustration. It is understandable that the method can also be applied to a server, and can also be applied to a system including a terminal and a server, and implemented through the interaction between the terminal and the server. In this embodiment, the method includes the following steps:

[0046] Step S102: Divide multiple simulation objects in the substation into multiple simulation areas.

[0047] The simulation object can be a physical entity or functional unit with independent electromagnetic characteristics in the substation, including primary equipment (such as transformers, circuit breakers, etc.), secondary equipment (such as relay protection devices, etc.), etc.

[0048] For example, the simulation objects in the substation can first be 3D modeled, and the physical data of the simulation objects and the logical relationships between the simulation objects can be determined. Then, based on the substation layout and equipment distribution, the substation can be divided into multiple simulation areas, and the association relationships between the simulation objects and the simulation areas can be determined. Each of the multiple simulation areas includes at least one simulation object.

[0049] Step S104 , performing secondary division on the target simulation area whose electromagnetic impact factor satisfies a preset condition among the multiple simulation areas to obtain multiple updated simulation areas; the preset condition includes at least one of a device density threshold and an environment complexity threshold.

[0050] The electromagnetic impact factor can be an indicator used to monitor environmental changes in a simulation object. Environmental changes in a simulation object can include electromagnetic changes caused by environmental factors, changes in any variable within a simulation area that cause simulated changes in other areas, and so on. Specifically, the electromagnetic impact factor can include device-related electromagnetic impact factors such as device density, device quantity, device power, and device type, as well as environmental-related electromagnetic impact factors such as environmental complexity, meteorological conditions, and electromagnetic interference sources. The electromagnetic impact factor meeting a preset condition can be when the device density reaches a preset device density threshold, or when the environmental complexity reaches a preset environmental complexity threshold.

[0051] Exemplarily, the electromagnetic impact factor data of each simulation area (including equipment density, environmental complexity, etc.) can be obtained; based on the preset equipment density threshold and environmental complexity threshold, the target simulation area whose electromagnetic impact factor meets the preset conditions is screened out; the target simulation area is divided twice to obtain multiple updated simulation areas and the correlation relationship between the updated simulation objects and the simulation areas.

[0052] Step S106 : acquiring electromagnetic change information of a plurality of simulation objects, and determining simulation difficulty levels of a plurality of simulation areas based on the electromagnetic change information.

[0053] The electromagnetic change information may be a data set reflecting the dynamic characteristics of the simulation object during the electromagnetic transient process. For example, the electromagnetic change information may include the time domain characteristics, frequency domain characteristics, and correlation of the electromagnetic signal.

[0054] For example, electromagnetic change information of multiple simulation objects can be collected through devices such as radiation probes; key features can be extracted from the collected electromagnetic change information; indicators related to simulation difficulty (for example, complexity indicators, uncertainty indicators, etc.) can be calculated based on the extracted features; and based on the calculated indicators, multiple simulation areas can be divided into different simulation difficulty levels.

[0055] Step S108 : Based on the simulation difficulty level, a corresponding number of processors are allocated to each of the multiple simulation areas, so that the processors perform electromagnetic environment simulation processing on the corresponding simulation areas to determine electromagnetic environment data.

[0056] Specifically, if the simulation difficulty level of the simulation area is higher, more processors can be allocated to the simulation area. Each simulation area performs electromagnetic environment simulation processing based on a corresponding number of processors to determine electromagnetic environment data, that is, to realize electromagnetic environment simulation of each simulation area separately.

[0057] In the above-mentioned method for determining the electromagnetic environment data of a substation, by dividing the simulation objects in the substation into multiple independent simulation areas, setting preset conditions for the electromagnetic impact factor (such as equipment density threshold, environment complexity threshold, etc.), further subdividing the target simulation areas that meet the conditions, and allocating a corresponding number of processors to each simulation area for simulation processing according to the simulation difficulty level of the simulation area, it is possible to adjust the data processing resources based on the number of simulation elements involved in the simulation processing and the degree of simulation difficulty, thereby improving the efficiency of determining the electromagnetic environment data, that is, improving the simulation efficiency of the electromagnetic environment of the substation.

[0058] In an exemplary embodiment, Figure 2 As shown, the above step S104 may include:

[0059] Step S1041 , obtaining device information of multiple simulation objects and environment information of multiple simulation areas.

[0060] The device information of the simulation object may include, but is not limited to, operating status information and location information. The environmental information of the simulation area may include, but is not limited to, temperature and humidity.

[0061] Step S1042 : In response to a change in the device information where the simulation object exists, a simulation area within the influence range of the simulation object is determined as a first simulation area.

[0062] Step S1043 : In response to a change in the environment information of the existing simulation area, the simulation area is determined as a second simulation area.

[0063] It is understandable that during operation, each simulation object may produce changes in the electromagnetic field under the influence of the external environment, including changes caused by the environment, changes caused by other simulation equipment, and changes caused by the combined effects of the environment and other simulation equipment.

[0064] Step S1044 , performing secondary division on the target simulation area whose electromagnetic influence factor meets the preset conditions in the first simulation area and the second simulation area, to obtain a plurality of updated simulation areas.

[0065] For example, device information of the simulation object and environmental information of the simulation area can be obtained from data sources such as a device management system and a sensor network; the current device information is compared with historical records. If a significant change in the state or parameters of a simulation object is detected, its influence range is calculated based on the electromagnetic coupling model, and the simulation area within the range is marked as a first simulation area; if the environmental information of a simulation area suddenly changes, the area is directly marked as a second simulation area; for the first simulation area and the second simulation area, the electromagnetic impact factor is calculated by comprehensively considering the device information and the environmental information (for example, the device density can be calculated by the ratio of the number of devices in the area to the area of the area; the environmental complexity can be quantitatively evaluated based on factors such as the geographical environment, meteorological conditions, and surrounding facilities); the electromagnetic impact factors of the first simulation area and the second simulation area are compared with a preset device density threshold and an environmental complexity threshold; if the device density of a certain area reaches or exceeds the device density threshold, or the environmental complexity reaches or exceeds the environmental complexity threshold, the area is determined as a target simulation area; the target simulation area is divided into smaller sub-areas based on its geographic spatial layout, or the devices in the target simulation area are grouped according to the type, function, electromagnetic characteristics, etc. of the equipment, with each group constituting a sub-area.

[0066] Further, if Figure 3 The above-mentioned method for determining the electromagnetic environment data of a substation may further include:

[0067] Step S105 : determining the number of radiation probes in each of the plurality of simulation areas based on the environmental information of the plurality of simulation areas.

[0068] Specifically, if the environment in a simulation area changes rapidly or is relatively complex, the number of radiation probes turned on in the area may be increased.

[0069] In one possible implementation, electromagnetic probe setup may include the following aspects: Probe type selection. Specifically, depending on the measurement target, an electric field probe (E-Field Probe), a magnetic field probe (H-Field Probe), or a combined field probe (CFP) can be selected. E-Field probes are suitable for measuring high-frequency electromagnetic interference, H-Field probes are suitable for measuring low-frequency electromagnetic interference, and CFP probes can measure both electric and magnetic fields simultaneously. Probe layout and frequency band division. Specifically, to measure three-dimensional electric field signals, multiple non-coplanar probes can be deployed around the satellite platform. Probe layout should avoid mutual interference while also considering the impact of the satellite platform and solar panels' electrification on electric field measurement accuracy. Probe installation and positioning. Specifically, the probe can be installed near the device under test, maintaining a distance of several centimeters from the device surface. The probe's position and orientation should be adjusted to ensure optimal contact with key areas of the device under test. Spectrum analyzer setup. Specifically, when performing spectrum analysis, parameters such as the spectrum analyzer's center frequency, bandwidth, and resolution bandwidth can be set according to test requirements to ensure they are compatible with the frequency range and intensity of the electromagnetic field being measured. Test environment control, specifically, minimizes electromagnetic interference in the test environment to reduce the impact of external interference on measurement results. Testing in a well-shielded laboratory can effectively reduce environmental interference. Probe calibration and accuracy assurance, specifically, involves selecting rigorously calibrated probes and performing regular calibration to ensure the accuracy of measurement results. Data analysis and interpretation, specifically, involves analyzing the measured spectrum to identify and record abnormal frequency points or peaks, assessing their potential impact and source. Based on the analysis results, the device's electromagnetic compatibility is assessed to determine compliance with relevant EMC (Electromagnetic Compatibility) standards. Furthermore, during probe use, ensure that the probe's position and orientation relative to the device under test maximize electromagnetic signal reception. Ensure data recording accuracy to provide a reliable basis for subsequent analysis. Adjust the probe's orientation based on data fluctuations to precisely optimize electromagnetic signal reception.

[0070] Furthermore, the measured spectrum can be analyzed to identify and record abnormal frequency points or peaks, and to assess their possible impact and source.

[0071] Optionally, the probe orientation can be adjusted based on the volatility of the data record to achieve precise optimization of the electromagnetic signal.

[0072] This embodiment captures the potential impact of changes in device or environmental information on the electromagnetic environment as they occur, and then re-divides the relevant areas. This enhances adaptability to dynamic changes in the substation's electromagnetic environment, ensuring simulation results more accurately reflect the actual electromagnetic environment and improving simulation accuracy and reliability. Furthermore, by determining the number of probes based on the environmental information of different simulation areas, resources can be rationally utilized and costs reduced while ensuring data collection quality.

[0073] In an exemplary embodiment, Figure 4 As shown, the above step S106 may include:

[0074] Step S1061 : Acquire electromagnetic change information, environmental change information, and coupling relationships between the electromagnetic change information and the environmental change information of multiple simulation objects.

[0075] Step S1062 : determining the simulation difficulty levels of the plurality of simulation areas based on the electromagnetic change information, the environmental change information, and the coupling relationship.

[0076] The electromagnetic change information may be the electromagnetic transient change rate per unit time, and the environmental change information may be the environmental parameter change amplitude per unit time.

[0077] For example, the electromagnetic signal of the simulation object can be monitored in real time based on the radiation probe, the intensity change of the electromagnetic signal per unit time can be recorded, and the electromagnetic transient change rate can be calculated; the environmental parameters of the simulation area can be collected in real time based on various sensors (for example, temperature sensors, humidity sensors, etc.), and the change amplitude of the environmental parameters per unit time can be calculated; data analysis methods (for example, regression analysis, etc.) can be used to analyze the electromagnetic change information and environmental change information to determine the coupling relationship between them; then, a comprehensive evaluation index can be constructed by combining the electromagnetic change information, environmental change information and the coupling relationship; and based on the numerical range of the comprehensive evaluation index, multiple simulation areas can be divided into different simulation difficulty levels.

[0078] In this embodiment, by introducing environmental change information and the coupling relationship between electromagnetic change information and environmental change information, these comprehensive information are used to evaluate the simulation difficulty of each simulation area, thereby improving the accuracy of determining the simulation difficulty level.

[0079] In an exemplary embodiment, Figure 5 As shown, the above step S108 may include:

[0080] Step S1081: Determine a processor of a corresponding target type based on the type of the simulation task.

[0081] Step S1082 : Based on the simulation difficulty level, corresponding numbers of target type processors are allocated to the multiple simulation areas respectively, so that the target type processors perform electromagnetic environment simulation processing on the corresponding simulation areas to determine electromagnetic environment data.

[0082] For example, different types of simulation tasks can be categorized, including time-domain simulation, frequency-domain simulation, static simulation, and dynamic simulation. Time-domain simulation tasks can be assigned to GPU processors, leveraging their parallel computing capabilities to process nanosecond time steps; static simulation tasks can be assigned to CPU processors, solving linear equations through multi-threaded optimization; and hybrid computing architectures can be used to achieve collaborative acceleration. By selecting the appropriate target processor type based on the simulation task type, the performance advantages of different processor types can be fully utilized, improving overall processor resource utilization efficiency.

[0083] In an exemplary embodiment, Figure 6 As shown, the above-mentioned method for determining the electromagnetic environment data of a substation may further include:

[0084] Step S109: sending the electromagnetic environment data to a display terminal so that the display terminal can visualize the electromagnetic environment data.

[0085] For example, the data can first be organized and formatted to meet the requirements of transmission and subsequent processing (for example, organizing electromagnetic environment data into common data formats such as JSON and CSV). An appropriate network communication protocol is then selected to transmit the electromagnetic environment data to a display terminal. The display terminal then runs the corresponding program, monitors the network port, and receives the electromagnetic environment data sent from the substation. After receiving the data, the display terminal parses and processes the data and uses appropriate visualization tools to display the electromagnetic environment data. This allows for timely display of the substation's conditions at different times and locations, facilitating monitoring and processing by relevant personnel.

[0086] To sum up, in the above-mentioned method for determining the electromagnetic environment data of the substation, by dividing the simulation objects in the substation into multiple independent simulation areas, setting preset conditions for the electromagnetic impact factor (such as equipment density threshold, environment complexity threshold, etc.), the target simulation areas that meet the conditions are further subdivided, and according to the simulation difficulty level of the simulation area, a corresponding number of processors are allocated to each simulation area for simulation processing. This can achieve the adjustment of data processing resources based on the number of simulation elements involved in the simulation processing and the degree of simulation difficulty, thereby improving the efficiency of determining the electromagnetic environment data, that is, improving the simulation efficiency of the electromagnetic environment of the substation.

[0087] It should be understood that, although the various steps in the flowcharts involved in the various embodiments described above are displayed in sequence according to the instructions of the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be executed in other orders. Moreover, at least a portion of the steps in the flowcharts involved in the various embodiments described above can include multiple steps or multiple stages, and these steps or stages are not necessarily executed and completed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a portion of steps or stages in other steps.

[0088] Based on the same inventive concept, embodiments of the present application also provide a device for determining substation electromagnetic environment data for implementing the aforementioned method for determining substation electromagnetic environment data. The solution provided by this device is similar to the solution described in the aforementioned method. Therefore, the specific limitations of one or more embodiments of the device for determining substation electromagnetic environment data provided below can be found in the aforementioned method for determining substation electromagnetic environment data, and will not be further elaborated here.

[0089] In an exemplary embodiment, Figure 7 As shown, a device 300 for determining electromagnetic environment data of a substation is provided, comprising: a dividing device 301, an updating device 302, a determining device 303 and a processing device 304, wherein:

[0090] The division means 301 is used to divide a plurality of simulation objects in the substation into a plurality of simulation areas;

[0091] An updating device 302 is configured to perform secondary division on a target simulation area whose electromagnetic influence factor satisfies a preset condition among the multiple simulation areas, to obtain multiple updated simulation areas; the preset condition includes at least one of a device density threshold and an environment complexity threshold;

[0092] Determining means 303, for acquiring electromagnetic change information of a plurality of simulation objects, and determining simulation difficulty levels of a plurality of simulation areas based on the electromagnetic change information;

[0093] The processing device 304 is used to allocate a corresponding number of processors to the multiple simulation areas based on the simulation difficulty level, so that the processors perform electromagnetic environment simulation processing on the corresponding simulation areas to determine electromagnetic environment data.

[0094] In an exemplary embodiment, the updating device 302 is further configured to:

[0095] Obtain device information of multiple simulation objects and environmental information of multiple simulation areas;

[0096] In response to a change in the device information where the simulation object exists, determining a simulation area within an influence range of the simulation object as a first simulation area;

[0097] In response to a change in the environmental information in which the simulation area exists, determining the simulation area as a second simulation area;

[0098] A target simulation area whose electromagnetic influence factor satisfies a preset condition in the first simulation area and the second simulation area is divided twice to obtain a plurality of updated simulation areas.

[0099] In an exemplary embodiment, the determining means 303 is further configured to:

[0100] Based on the environmental information of the multiple simulation areas, the number of radiation probes in the multiple simulation areas is determined respectively.

[0101] In an exemplary embodiment, the determining means 303 is further configured to:

[0102] Obtaining electromagnetic change information, environmental change information, and coupling relationships between the electromagnetic change information and the environmental change information of multiple simulation objects;

[0103] Based on electromagnetic change information, environmental change information and coupling relationships, the simulation difficulty levels of multiple simulation areas are determined.

[0104] In an exemplary embodiment, the processing device 304 is further configured to:

[0105] Based on the type of simulation task, determine the corresponding target type of processor;

[0106] Based on the simulation difficulty level, corresponding numbers of target-type processors are allocated to multiple simulation areas respectively, so that the target-type processors perform electromagnetic environment simulation processing on the corresponding simulation areas to determine electromagnetic environment data.

[0107] In an exemplary embodiment, the above-mentioned substation electromagnetic environment data determination device 300 further includes a display device, which is used to:

[0108] The electromagnetic environment data is sent to a display terminal so that the display terminal can visualize the electromagnetic environment data.

[0109] Each module in the aforementioned substation electromagnetic environment data determination device may be implemented in whole or in part through software, hardware, or a combination thereof. Each module may be embedded in or independent of a processor within a computer device in hardware form, or may be stored in a computer device memory in software form, allowing the processor to call and execute the corresponding operations of each module.

[0110] In an exemplary embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as shown in FIG. Figure 8 As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, abbreviated as I / O) and a communication interface. The processor, memory and input / output interface are connected via a system bus, and the communication interface is connected to the system bus via the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and computer program in the non-volatile storage medium. The database of the computer device is used to store electromagnetic environment data. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, a method for determining electromagnetic environment data of a substation is implemented.

[0111] Those skilled in the art will understand that Figure 8 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0112] In an exemplary embodiment, a computer device is provided, including a memory and a processor. The memory stores a computer program, and the processor implements the steps in the above method embodiments when executing the computer program.

[0113] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0114] In one embodiment, a computer program product is provided, including a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0115] Those skilled in the art will understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. In particular, any reference to memory, database, or other media used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The databases involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the various embodiments provided herein may be, but are not limited to, general-purpose processors, central processing units (CPUs), graphics processing units (GPUs), digital signal processors (DSPs), programmable logic devices (PLDs), quantum computing-based data processing logic devices, artificial intelligence (AI) processors, and the like.

[0116] The technical features of the above embodiments can be combined arbitrarily. In order to make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0117] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present application. It should be noted that a person of ordinary skill in the art may make various modifications and improvements without departing from the spirit of the present application, and these modifications and improvements fall within the scope of protection of the present application. Therefore, the scope of protection of the present application shall be determined by the appended claims.

Claims

1. A method for determining electromagnetic environment data of a substation, characterized in that: The method comprises: Divide multiple simulation objects in the substation into multiple simulation areas; Performing secondary division on the target simulation areas whose electromagnetic influence factors satisfy preset conditions in the multiple simulation areas to obtain multiple updated simulation areas; the preset conditions include at least one of a device density threshold and an environment complexity threshold; Acquiring electromagnetic change information of the plurality of simulation objects, and determining simulation difficulty levels of the plurality of simulation areas based on the electromagnetic change information; Based on the simulation difficulty level, a corresponding number of processors are allocated to the multiple simulation areas respectively, so that the processors perform electromagnetic environment simulation processing on the corresponding simulation areas to determine electromagnetic environment data.

2. The method according to claim 1, characterized in that The target simulation area whose electromagnetic influence factor satisfies the preset conditions is divided twice among the multiple simulation areas to obtain multiple updated simulation areas, including: Acquiring device information of the multiple simulation objects and environmental information of the multiple simulation areas; In response to a change in device information where a simulation object exists, determining a simulation area within an influence range of the simulation object as a first simulation area; In response to a change in the environmental information of the simulation area, determining the simulation area as a second simulation area; A target simulation area whose electromagnetic influence factor satisfies a preset condition in the first simulation area and the second simulation area is divided twice to obtain a plurality of updated simulation areas.

3. The method according to claim 2, characterized in that After acquiring the device information of the plurality of simulation objects and the environment information of the plurality of simulation areas, the method further includes: Based on the environmental information of the multiple simulation areas, the number of radiation probes in the multiple simulation areas is determined respectively.

4. The method according to claim 1, wherein The acquiring electromagnetic change information of the plurality of simulation objects and determining the simulation difficulty levels of the plurality of simulation areas based on the electromagnetic change information includes: Acquiring electromagnetic change information, environmental change information, and a coupling relationship between the electromagnetic change information and the environmental change information of the multiple simulation objects; The simulation difficulty levels of the multiple simulation areas are determined based on the electromagnetic change information, the environmental change information, and the coupling relationship.

5. The method according to claim 1, wherein The allocating a corresponding number of processors to the plurality of simulation areas based on the simulation difficulty level, so that the processors perform electromagnetic environment simulation processing on the corresponding simulation areas to determine electromagnetic environment data, includes: Based on the type of simulation task, determine the corresponding target type of processor; Based on the simulation difficulty level, a corresponding number of target type processors are allocated to the multiple simulation areas respectively, so that the target type processors perform electromagnetic environment simulation processing on the corresponding simulation areas to determine electromagnetic environment data.

6. The method according to claim 1, characterized in that After allocating a corresponding number of processors to the plurality of simulation areas based on the simulation difficulty level, so that the processors perform electromagnetic environment simulation processing on the corresponding simulation areas to determine electromagnetic environment data, the method further includes: The electromagnetic environment data is sent to a display terminal so that the display terminal can visually display the electromagnetic environment data.

7. A device for determining electromagnetic environment data of a substation, characterized in that: The device comprises: A division device, used to divide multiple simulation objects in the substation into multiple simulation areas; An updating device, configured to perform secondary division on a target simulation area whose electromagnetic influence factor satisfies a preset condition among the multiple simulation areas, to obtain multiple updated simulation areas; the preset condition comprising at least one of a device density threshold and an environment complexity threshold; a determining device for acquiring electromagnetic change information of the plurality of simulation objects and determining simulation difficulty levels of the plurality of simulation areas based on the electromagnetic change information; The processing device is used to allocate a corresponding number of processors to the multiple simulation areas based on the simulation difficulty level, so that the processors perform electromagnetic environment simulation processing on the corresponding simulation areas to determine electromagnetic environment data.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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