Power monitoring system simulation test method, device, medium and electronic equipment

Abstract

The embodiment of the present application discloses a method, device, medium and electronic device for simulation testing of a power monitoring system. The method includes: obtaining power equipment simulation configuration information; wherein, the power equipment simulation configuration information includes: the identification of the station to be simulated and the status of the equipment to be simulated; according to the identification of the station to be simulated and the power equipment configuration information of the station to be simulated, determining the target equipment simulation model in the candidate equipment simulation model; wherein, the candidate equipment simulation model is constructed according to the correlation between the power data dimensions corresponding to the candidate power equipment; according to the status of the equipment to be simulated, generating power simulation data through the target equipment simulation model, and performing simulation testing on the power monitoring system based on the power simulation data. Executing the technical solution of the present application ensures the authenticity of the power simulation data, thereby improving the accuracy of the simulation test of the power monitoring system.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of computer application technology, and in particular to a simulation test method, device, medium and electronic equipment for a power monitoring system. Background Art

[0002] With the rapid development of urban rail transit in my country, trams have become a significant development trend. As an essential component to ensure safe and reliable operation, tram power monitoring systems must undergo extensive simulation testing and meet compliance requirements before they can be officially put into use.

[0003] Currently, simulation testing of power monitoring systems in the rail transit sector mostly relies on manually or randomly setting numbers to generate simulated data for power equipment. However, the equipment simulation data generated by these methods does not fully simulate on-site power equipment, lacks correlations between power data from the same power equipment, and lacks data authenticity. This results in generally low test accuracy in these power monitoring system simulation testing methods. Summary of the Invention

[0004] The embodiments of the present application provide a method, device, medium and electronic equipment for simulation testing of an electric power monitoring system, which improves the accuracy of simulation testing of the electric power monitoring system by using more objective and realistic electric power simulation data.

[0005] In a first aspect, an embodiment of the present application provides a simulation test method for a power monitoring system, the method comprising:

[0006] Acquire power equipment simulation configuration information; wherein the power equipment simulation configuration information includes: a station identifier to be simulated and a status of the equipment to be simulated;

[0007] Determining a target device simulation model from candidate device simulation models based on the identification of the to-be-simulated station and the configuration information of the power equipment of the to-be-simulated station; wherein the candidate device simulation model is constructed based on the association relationship between the power data dimensions corresponding to the candidate power equipment;

[0008] According to the state of the device to be simulated, power simulation data is generated through the target device simulation model, and a simulation test is performed on the power monitoring system based on the power simulation data.

[0009] In a second aspect, an embodiment of the present application provides a power monitoring system simulation test device, the device comprising:

[0010] The power equipment simulation configuration information acquisition module is used to acquire the power equipment simulation configuration information; wherein the power equipment simulation configuration information includes: the identification of the station to be simulated and the status of the device to be simulated;

[0011] a target device simulation model determination module, configured to determine a target device simulation model from candidate device simulation models based on the identification of the to-be-simulated station and the power device configuration information of the to-be-simulated station; wherein the candidate device simulation model is constructed based on the association relationship between the power data dimensions corresponding to the candidate power devices;

[0012] The simulation test module is used to generate power simulation data through the target device simulation model according to the state of the device to be simulated, and perform simulation testing on the power monitoring system based on the power simulation data.

[0013] In a third aspect, an embodiment of the present application provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the power monitoring system simulation test method as described in the embodiment of the present application is implemented.

[0014] In a fourth aspect, an embodiment of 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 when the processor executes the computer program, the power monitoring system simulation test method as described in the embodiment of the present application is implemented.

[0015] The technical solution provided in the embodiment of the present application obtains power equipment simulation configuration information; wherein, the power equipment simulation configuration information includes: the identification of the platform to be simulated and the status of the equipment to be simulated; according to the identification of the platform to be simulated and the power equipment configuration information of the platform to be simulated, the target equipment simulation model is determined in the candidate equipment simulation model; according to the status of the equipment to be simulated, power simulation data is generated through the target equipment simulation model, taking into account the correlation between the dimensions of power data, ensuring the authenticity of the power simulation data, and performing simulation testing on the power monitoring system based on the power simulation data, ensuring the accuracy of the simulation test of the power monitoring system, and thus ensuring the safe operation of the tram. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 This is a flow chart of a power monitoring system simulation test method provided in Example 1 of the present application;

[0017] Figure 2 This is a flowchart of another power monitoring system simulation test method provided in Example 2 of the present application;

[0018] Figure 3 This is a flowchart of another power monitoring system simulation test method provided in Example 3 of the present application;

[0019] Figure 4 This is a structural diagram of a power monitoring system simulation test device provided in Example 4 of the present application;

[0020] Figure 5 This is a structural diagram of an electronic device provided in Example 6 of the present application. DETAILED DESCRIPTION

[0021] The present application will be further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are intended only to illustrate the present application and are not intended to limit the present application. It should also be noted that, for ease of description, the accompanying drawings only illustrate portions of the present application, not all of the structures.

[0022] Before discussing the exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flow charts. Although the flow charts describe the steps as sequential processes, many of the steps can be implemented in parallel, concurrently, or simultaneously. In addition, the order of the steps can be rearranged. The process can be terminated when its operation is completed, but can also have additional steps not included in the accompanying drawings. The process can correspond to a method, function, procedure, subroutine, subprogram, etc.

[0023] Example 1

[0024] Figure 1 This is a flowchart of a power monitoring system simulation test method provided in Example 1 of the present application. This embodiment is applicable to the simulation test of power monitoring systems in the rail transit field to test the performance of the power monitoring system. This method can be executed by the power monitoring system simulation test device provided in the embodiment of the present application. The device can be implemented by software and / or hardware and can be integrated into the electronic equipment running this system.

[0025] like Figure 1 As shown, the power monitoring system simulation test method includes:

[0026] S110. Acquire power equipment simulation configuration information; wherein the power equipment simulation configuration information includes: an identification of a station to be simulated and a status of a device to be simulated.

[0027] The power equipment simulation configuration information is the configuration information that needs to be input to the power equipment simulation system when the power equipment simulation system is used to simulate the performance of the power monitoring system. The power equipment simulation system refers to the system that runs the power monitoring system simulation test method provided in this application. The power monitoring system is used to monitor the operation of the power system composed of power equipment.

[0028] Optionally, the power monitoring system is a tram's power monitoring system, which is a SCADA (Supervisory Control and Data Acquisition) system. In the rail transit sector, where trams operate, power equipment failures can affect the platform's power system and the ability of energy storage trains to charge properly. The tram's power monitoring system can monitor the platform's power system in real time, promptly detecting anomalies in the platform's power system and locating the abnormal power equipment.

[0029] Optionally, a simulation test of the power monitoring system is performed using a station as a simulation unit. Accordingly, the power equipment simulation configuration information includes: a station identifier to be simulated and a device status to be simulated. The station identifier to be simulated refers to the identification information of the station to be simulated. The station identifier to be simulated can be used to uniquely identify the station to be simulated, where the station to be simulated refers to the station to be simulated. The device status to be simulated refers to the operating status of the power system in the simulated station. Based on the device status to be simulated, various power system operating conditions can be simulated.

[0030] The power equipment simulation configuration information is obtained. Specifically, the power equipment simulation configuration information input by the user may be obtained through a client of the power equipment simulation system.

[0031] S120. Determine a target device simulation model in candidate device simulation models based on the identification of the to-be-simulated station and the power equipment configuration information of the to-be-simulated station; wherein the candidate device simulation model is constructed based on the association relationship between power data dimensions corresponding to the candidate power equipment.

[0032] The station to be simulated refers to the station identified by the station identifier. The power equipment configuration information for the station to be simulated refers to the configuration of the power equipment in the station to be simulated. This power equipment configuration information for the station to be simulated is pre-configured in the power equipment simulation system by relevant technical personnel. All stations recorded in the power equipment simulation system have associated power equipment configuration information.

[0033] Optionally, the station's power device configuration information can be a key-value pair consisting of a station ID and a power device ID. Specifically, the station to which the power device belongs can be determined based on the station code record of the power device, and a key-value pair can be constructed using the platform ID and the power device ID. If the station's power device configuration information is known, the associated power device ID can be determined based on the station ID to be simulated.

[0034] The power equipment identification is information used to distinguish different power equipment. The target equipment simulation model is determined from the candidate equipment simulation models based on the power equipment identification. The target equipment simulation model is the power equipment simulation model corresponding to the power equipment identification. The target equipment simulation model is generated from the candidate equipment models. The candidate equipment models are mathematically constructed by relevant technical personnel based on the actual operation of the power equipment.

[0035] Optionally, the candidate device simulation model is constructed based on the correlation between power data dimensions corresponding to the candidate power devices. The power data dimensions refer to electrical dimensions of the power devices, and exemplary power data dimensions may include electrical dimensions such as current, voltage, and power. The power data dimensions of the power devices may be determined based on a power device technical parameter sheet, where the power device technical parameter sheet refers to the user instructions for the power devices provided by the power device manufacturer.

[0036] Optionally, the power equipment technical parameter table and the power equipment identification may constitute the power equipment configuration information of the station, and be pre-configured in the power equipment simulation system.

[0037] Each electric device recorded in the electric device simulation system has a corresponding electric device simulation model. Optionally, there is a many-to-one relationship between the electric devices and the electric device simulation models.

[0038] S130 : Generate power simulation data using the target device simulation model according to the state of the device to be simulated, and perform simulation testing on the power monitoring system based on the power simulation data.

[0039] Generally speaking, the station to be simulated is typically equipped with at least two types of power equipment, and the power equipment configured in the station to be simulated collectively constitutes a power system. The power simulation device model corresponding to the power equipment configured in the station to be simulated is the target device simulation model. The type and number of target device simulation models are correlated with the type and number of power equipment in the station to be simulated, and there is at least one target device simulation model. Each target device simulation model collectively constitutes the power system of the station to be simulated. The operating state of the power system of the station to be simulated can be determined based on the state of the power equipment to be simulated. Specifically, the target device simulation model outputs power data generated by the power equipment operating in the state of the power equipment to be simulated, thereby obtaining power simulation data.

[0040] The power monitoring system is simulated and tested using power simulation data. Specifically, the power monitoring system monitors the power simulation data, receives the power simulation data sent by the power equipment simulation system in real time, and analyzes the power simulation data to achieve simulation testing of the reliability and stability of the power monitoring system.

[0041] Optionally, the power equipment simulation system provided in the embodiment of the present application integrates communication modules based on multiple general protocol specifications such as Modbus-RTU, Modbus-TCP and IEC-104, and supports simulation testing of different SCADA systems. The power equipment simulation system provided in the present application has the advantages of high accuracy, wide applicability and easy operation.

[0042] The technical solution provided in the embodiment of the present application obtains the simulation configuration information of the power equipment; determines the target device simulation model in the candidate device simulation model according to the identification of the platform to be simulated and the power equipment configuration information of the platform to be simulated; generates power simulation data through the target device simulation model according to the status of the device to be simulated, takes into account the correlation between the dimensions of the power data, ensures the authenticity of the power simulation data, performs simulation testing on the power monitoring system based on the power simulation data, ensures the accuracy of the simulation test of the power monitoring system, and thus ensures the safe operation of the tram.

[0043] Example 2

[0044] Figure 2 This is a flowchart of another power monitoring system simulation test method provided in Example 2 of the present application. This embodiment is further optimized on the basis of the above embodiment. Specifically, before obtaining the power equipment simulation configuration information, the method also includes the following candidate equipment simulation model construction process: according to the power data dimensions corresponding to each candidate power equipment, the candidate power equipment is classified to obtain at least two equipment types; according to the correlation between the power data dimensions, corresponding power equipment simulation models are constructed for the equipment types respectively to obtain at least two candidate equipment simulation models.

[0045] like Figure 2 As shown, the power monitoring system simulation test method includes:

[0046] S210 : Classify the candidate power devices into at least two device types according to the power data dimensions corresponding to the candidate power devices.

[0047] The candidate power equipment refers to all power equipment in the power system within the monitoring range of the power monitoring system. For example, the candidate power equipment may include: ring network incoming line cabinets, ring network outgoing line cabinets, distribution feeder cabinets, traction feeder cabinets, low-voltage cabinets, ring network incoming line protection devices, ring network outgoing line protection devices, traction feeder protection devices, distribution feeder protection devices, rectifier transformers, distribution transformers, digital tubes, air conditioners, escape doors, fire alarms, drainage pumps, air conditioner controllers, and sound and light alarms, etc.

[0048] Each power device has a corresponding power data dimension, which reflects the device's internal operating mechanisms and functions. The power data dimension of a power device can be determined from the device's technical parameter table. Candidate power devices are categorized based on the power data dimension. Specifically, candidate power devices can be categorized based on the type of power data dimension they correspond to. Candidate power devices with the same power data dimension type are grouped into the same type, resulting in at least two device types.

[0049] In an optional embodiment, the equipment types include: at least one of: switchgear, protection devices, transformers, charging devices, DC panels, emergency power supplies (EPS), and environmental control equipment. For example, the corresponding relationship between the types of candidate power equipment can be: ring network incoming cabinets, ring network outgoing cabinets, distribution feeder cabinets, traction feeder cabinets, and low-voltage cabinets belong to the switchgear type; ring network incoming line protection devices, ring network outgoing line protection devices, traction feeder protection devices, and distribution feeder protection devices belong to the protection device type; rectifier transformers and distribution transformers belong to the transformer type; and digital tubes, air conditioners, escape doors, fire alarms, drainage pumps, air conditioning controllers, and sound and light alarms belong to the environmental control equipment type.

[0050] Each device type has a corresponding power equipment simulation model. For each of these device types, at least one candidate device simulation model can be constructed: switchgear model, protection device model, transformer model, charging device model, DC panel model, emergency power supply model, and environmental control device model. There is a one-to-one correspondence between device type and candidate power equipment simulation model.

[0051] S220: Construct corresponding power equipment simulation models for the equipment types according to the correlation between the power data dimensions, and obtain at least two candidate equipment simulation models.

[0052] Once the type of power equipment is determined, the power data dimensions of the power equipment are analyzed. Based on the correlations between the power data, a corresponding power equipment simulation model is constructed for the power equipment type. The correlations between power data dimensions can represent mutual constraints between several power data dimensions. A single power equipment item typically corresponds to multiple power data dimensions, and various correlations between power data dimensions may exist. These multiple correlations together constitute the power equipment simulation model.

[0053] In an optional embodiment, based on the correlation relationship between the power data dimensions, a corresponding power equipment simulation model is constructed for the equipment type, including: determining the dimension type of the power data dimension based on the functional attributes of the power data dimension: if the dimension type of the power data dimension is telemetry data or telepulse data, then the established mathematical relationship between the power data dimensions is used as the correlation relationship between the power data dimensions; if the dimension type of the power data dimension is telesignaling data, remote control data or remote adjustment data, then based on the historical power data of the power data dimension, the correlation relationship between the power data dimensions is determined through a time series model; according to the control relationship between power data dimensions of different dimensional types, the correlation relationship between the power data dimensions is corrected, and the power equipment simulation model is constructed based on the corrected correlation relationship.

[0054] Determining the dimension type of the power data dimension based on its functional attributes actually involves determining the "five remote control" types of the power data dimension based on its role in automated power dispatching in power systems. In the tram sector, the "five remote control" types refer to telesignaling, telemetering, telecontrol, teleregulation, and telepulse. Among them, telesignaling refers to the collection and transmission of digital signals, and telesignaling data includes: circuit breaker opening and closing positions, trolley working position, timing signal status or device communication status, etc.; telemetering refers to remote measurement of analog signals, and telemetering data includes: voltage, current, active power, reactive power, frequency or zero-sequence current, etc.; remote control refers to receiving and executing remote control instructions, and remote control data includes: disconnector opening and closing, circuit breaker switching or remote stop and start control data; remote adjustment refers to receiving and executing remote adjustment instructions, and remote adjustment data includes: overcurrent I section constant value, zero-sequence overcurrent I section constant value, low-voltage side zero-sequence overcurrent constant value or overcurrent acceleration section constant value, etc.; remote pulse data refers to the use of pulse signals to send data in the metering of the power system, and remote pulse data includes: active energy input, active energy output, active energy total value, active energy net value, reactive energy input, reactive energy output, reactive energy total value or reactive energy net value. In the embodiment of the present application, only switchgear type power equipment has remote pulse type power data dimension.

[0055] The correlation relationship between the power data dimensions is determined according to the dimension type of the power data dimension. Specifically, if the dimension type of the power data dimension is telemetry data or telepulse data, the established mathematical relationship between the power data dimensions is used as the correlation relationship between the power data dimensions. The established mathematical relationship refers to the correlation relationship between the power data dimensions that can be expressed by a mathematical formula. The established mathematical relationship can be a physical law or a mathematical formula recorded in the technical parameter table of the power equipment. For example, for voltage, current and power, which all belong to the telemetry type, the physical law describing the relationship between the three is used as the correlation relationship between the three power data dimensions.

[0056] If the dimension type of the power data dimension is telesignaling data, remote control data, or remote regulation data, then the correlation between the power data dimensions is determined using a time series model based on the historical power data of the power data dimension. This is because there is generally no established mathematical relationship between power data dimensions of the telesignaling data, remote control data, or remote regulation data type. For power data dimensions of the telesignaling data, remote control data, or remote regulation data type, the correlation between the power data dimensions is generally determined by analyzing power data dimensions of the same dimension type. Specifically, the historical power data is analyzed using a time series model based on a sliding window average.

[0057] An electric power device may correspond to electric power data dimensions of different dimensional types. When determining the correlation between electric power data dimensions, the dimension types of the electric power data dimensions are distinguished, and the correlation between the electric power data dimensions is determined using a method that adapts to the dimension types. For example, electric power device A corresponds to both telesignaling and telemetering types of electric power data dimensions. For the telesignaling type of electric power data dimensions, the correlation between the electric power data dimensions is determined through a time series model based on historical electric power data; for the telemetering type of electric power data dimensions, the established mathematical relationship between the electric power data dimensions is used as the correlation between the electric power data dimensions. By combining the correlation corresponding to the telesignaling type and the correlation corresponding to the telemetering type, the correlation corresponding to electric power device A is obtained.

[0058] In order to simulate the actual operation of the power system more realistically, the embodiments of the present application also consider the control relationship between different power data dimensions. The present application mainly considers the corresponding control relationship between power data dimensions with the dimension type of remote adjustment type and telemetry type, as well as the corresponding control relationship between power data dimensions with the dimension type of remote control type and telesignaling type. For example, the telesignaling data of power equipment with the device type of switchgear, such as circuit breakers, earthing switches, and trolleys, may change with the change of remote control data; the telemetry data of power equipment with the device type of protection device will change with the change of remote adjustment data;

[0059] According to the control relationship between different dimensions, the obtained correlation relationship is corrected. Specifically, the determined correlation relationship is corrected by establishing a corresponding control relationship configuration file, and the power equipment simulation model is constructed according to the corrected correlation relationship.

[0060] The embodiment of the present application not only considers the correlation relationship between power data dimensions belonging to the same dimensional type, but also considers the control relationship between power data dimensions belonging to different dimensional types, ensuring the accuracy of the power equipment simulation model and the authenticity of the power simulation data, thereby improving the test accuracy of the power monitoring system.

[0061] S230. Acquire power equipment simulation configuration information; wherein the power equipment simulation configuration information includes: an identification of a station to be simulated and a status of a device to be simulated.

[0062] S240: Determine a target device simulation model from candidate device simulation models according to the identification of the to-be-simulated station and the power equipment configuration information of the to-be-simulated station.

[0063] S250 , generating power simulation data through the target device simulation model according to the state of the device to be simulated, and performing a simulation test on the power monitoring system based on the power simulation data.

[0064] The technical solution provided in the embodiment of the present application is to classify the candidate power equipment according to the power data dimensions corresponding to each candidate power equipment to obtain at least two equipment types, and when the equipment type of the power equipment is determined, a power equipment simulation model corresponding to the equipment type of the power equipment is constructed according to the correlation between the power data dimensions corresponding to the power equipment. Power simulation data is generated through the power equipment simulation model, and the power monitoring system is tested based on the power simulation data. The embodiment of the present application constructs a power equipment simulation model according to the correlation between the power data dimensions, and generates power simulation data through the power simulation model. This can more accurately simulate the actual operation of the power system, improve the authenticity of the power simulation data, and monitor the power monitoring system based on the simulation data automatically generated by the power equipment simulation model, which can effectively improve the test accuracy and test efficiency of the power monitoring system.

[0065] Example 3

[0066] Figure 3It is a flow chart of another power monitoring system simulation test method provided in Example 3 of the present application. This embodiment is further optimized on the basis of the above embodiment. The specific optimization is to determine the target device simulation model in the candidate device simulation model according to the identification of the station to be simulated and the power equipment configuration information of the station to be simulated, including: according to the identification of the station to be simulated and the power equipment configuration information of the station to be simulated, the power equipment configured at the simulation station is determined as the target power equipment; according to the power data dimension of the target power equipment, the device type to which the target power equipment belongs is determined as the target type; and the power equipment simulation model corresponding to the target type is selected from the candidate device simulation model as the target device simulation model.

[0067] like Figure 3 As shown, the power monitoring system simulation test method includes:

[0068] S310. Acquire power equipment simulation configuration information; wherein the power equipment simulation configuration information includes: an identification of a station to be simulated and a status of a device to be simulated.

[0069] S320: Determine the power equipment configured at the simulation station as the target power equipment according to the identification of the station to be simulated and the power equipment configuration information of the station to be simulated.

[0070] The power equipment configuration information records the station's power equipment configuration, including the identification of the power equipment configured at the station and the corresponding technical parameter table. The target power equipment refers to the power equipment configured at the station to be simulated. The target power equipment configured at the simulated station can be determined in the power equipment configuration information based on the station identification. The station serves as the simulation unit for testing power equipment. To simulate and recreate the actual operation of the station's power system, all power equipment configured at the station can optionally be used as target power equipment.

[0071] S330: Determine the device type to which the target power device belongs according to the power data dimension of the target power device, as the target type.

[0072] The power data dimension of the target power equipment can be determined according to the power equipment simulation configuration information, and the device type of the target power equipment can be determined according to the power data dimension of the power equipment, and the type of the target power equipment can be determined as the target type.

[0073] S340: Select an electric power equipment simulation model corresponding to the target type from the candidate equipment simulation models as the target equipment simulation model.

[0074] There is a one-to-one correspondence between the power equipment simulation model and the equipment type. Each equipment type has a corresponding power equipment simulation model. The power equipment simulation model corresponding to the target type is the target equipment simulation model.

[0075] S350 : Generate power simulation data through the target device simulation model according to the state of the device to be simulated, and perform simulation testing on the power monitoring system based on the power simulation data.

[0076] The technical solution provided in the embodiment of the present application determines the power equipment configured at the simulated platform as the target power equipment based on the identification of the platform to be simulated and the configuration information of the power equipment at the simulated platform. The target power equipment type is determined based on the power data dimension of the target power equipment as the target type. The power equipment simulation model corresponding to the target type is selected from the candidate device simulation models as the target device simulation model. Based on the status of the device to be simulated, power simulation data is generated using the target device simulation model, and a simulation test of the power monitoring system is performed based on the power simulation data. The accuracy of the simulation test of the power monitoring system is ensured, thereby ensuring the safe operation of the tram.

[0077] In an optional embodiment, power simulation data is generated through the target device simulation model according to the state of the device to be simulated, including: determining the expected variation range of the independent power data dimension according to the state of the device to be simulated; randomly generating power data belonging to the independent power data dimension within the expected variation range as model input data; inputting the model input data into the target device simulation model, and generating power simulation data through the target device simulation model.

[0078] Optionally, the device state to be simulated includes at least one of a normal state, an abnormal state, and an offline state. This allows for comprehensive simulation of the operating state of the power equipment in the simulated station. It is understood that the device state to be simulated refers to the operating state of the power system in the simulated station. The operating state of the power system is determined by the operating state of the power equipment. In practice, the device state to be simulated refers to the operating state of the power equipment configured in the simulated station. Generally, the device state to be simulated refers to the operating state of some power equipment. The specific operating state of the power equipment to be simulated is not limited here and is determined based on actual circumstances. For example, a random algorithm can be used to determine the power equipment in the simulated station that has an operating state of the device to be simulated, while other unselected power equipment in the simulated station maintains a default operating state. Optionally, the normal state is used as the default operating state. Of course, the user can further specify which power equipment in the simulated station has an operating state of the device to be simulated based on business needs.

[0079] According to the state of the device to be simulated, the expected range of change of the independent power data dimension is determined, wherein there is no correlation between the independent power data dimensions. After the expected range of change of the independent power data dimensions is determined, the range of change of the power data dimensions associated with each independent power data dimension can be determined based on the correlation between the power data dimensions. For example, in the case where the power data dimensions are voltage and current, one of the voltage or current can be selected as the independent power data dimension. If the voltage is used as the independent power data dimension, the expected range of change of the voltage is determined according to the state of the device to be simulated. After the expected range of change of the voltage is determined, the range of change of the current can be determined based on the correlation between the voltage and the current.

[0080] The expected range of variation is related to the state of the device to be simulated. The expected range of variation of the independent power data dimension is determined based on the state of the device to be simulated. Specifically, the expected range of variation of the independent power data dimension is determined based on the state of the device to be simulated and the numerical reference range of each power data dimension under normal operation of the power equipment given in the device technical parameter table. For example, when the power equipment is a ring network outlet cabinet and voltage is an independent power data dimension, the device technical parameter table gives the range of the AB line voltage Uab of the ring network outlet cabinet under normal operation as [9.3, 10.7]. If the state of the device to be simulated is normal, the expected range of variation of the voltage is [9.3, 10.7]. If the state of the device to be simulated is abnormal, the expected range of voltage does not include [9.3, 10.7].

[0081] Randomly generate power data belonging to independent power data dimensions within the expected range of variation as model input data. Specifically, randomly generate a set number of power data belonging to independent power data dimensions within the expected range of variation as model input data. The set number is determined by relevant technical personnel based on actual business needs and is not limited here. For example, the set number can be hundreds or thousands.

[0082] The model input data is fed into the target device simulation model, which then outputs power data for other power data dimensions associated with the independent power data dimension. The power simulation data generated when the power device is operating in the simulated device state is obtained, and a simulation test of the power monitoring system is performed based on the power simulation data.

[0083] This application first determines the expected range of change of the independent power data dimension according to the state of the device to be simulated, and then randomly generates power data belonging to the independent power data dimension within the expected range of change as model input data; the model input data is input into the target device simulation model, and power simulation data is generated through the target device simulation model, which can realize a full range of simulation of various operating conditions of the power system while ensuring the accuracy of the simulation data.

[0084] Example 4

[0085] Figure 4 The fourth embodiment of this application provides a power monitoring system simulation test device. This embodiment can be applied to the power monitoring system in the rail transit field for simulation testing, testing the power monitoring system performance. The device can be implemented by software and / or hardware and can be integrated into electronic devices such as smart terminals.

[0086] like Figure 4 As shown, the apparatus may include: an electric power equipment simulation configuration information acquisition module 410 , a target equipment simulation model determination module 420 and a simulation test module 430 .

[0087] The power equipment simulation configuration information acquisition module 410 is used to acquire the power equipment simulation configuration information; wherein the power equipment simulation configuration information includes: the identification of the station to be simulated and the status of the device to be simulated;

[0088] The target device simulation model determination module 420 is configured to determine a target device simulation model from the candidate device simulation models based on the identification of the to-be-simulated station and the power device configuration information of the to-be-simulated station; wherein the candidate device simulation model is constructed based on the association between the power data dimensions corresponding to the candidate power devices;

[0089] The simulation test module 430 is configured to generate power simulation data using the target device simulation model according to the state of the device to be simulated, and perform simulation testing on the power monitoring system based on the power simulation data.

[0090] The technical solution provided in the embodiment of the present application obtains power equipment simulation configuration information; wherein, the power equipment simulation configuration information includes: the identification of the platform to be simulated and the status of the equipment to be simulated; according to the identification of the platform to be simulated and the power equipment configuration information of the platform to be simulated, the target equipment simulation model is determined in the candidate equipment simulation model; according to the status of the equipment to be simulated, power simulation data is generated through the target equipment simulation model, taking into account the correlation between the dimensions of power data, ensuring the authenticity of the power simulation data, and performing simulation testing on the power monitoring system based on the power simulation data, ensuring the accuracy of the simulation test of the power monitoring system, and thus ensuring the safe operation of the tram.

[0091] Optionally, the apparatus further includes: a candidate device simulation model construction module, configured to construct a candidate device simulation model before obtaining the power device simulation configuration information. The candidate device simulation model construction module includes: a device type determination submodule, configured to classify candidate power devices into at least two device types based on the power data dimensions corresponding to each candidate power device; and a candidate device simulation model construction submodule, configured to construct corresponding power device simulation models for each device type based on the correlation between the power data dimensions, thereby obtaining at least two candidate device simulation models.

[0092] Optionally, the candidate device simulation model construction sub-module includes: a dimension type determination unit, used to determine the dimension type of the power data dimension according to the functional attributes of the power data dimension; a first association relationship determination unit, used to use the established mathematical relationship between the power data dimensions as the association relationship between the power data dimensions if the dimension type of the power data dimension is telemetry data or telepulse data; a second association relationship determination unit, used to determine the association relationship between the power data dimensions through a time series model based on the historical power data of the power data dimension if the dimension type of the power data dimension is telesignaling data, remote control data or remote regulation data; a power equipment simulation model construction unit, used to correct the association relationship between the power data dimensions according to the control relationship between power data dimensions of different dimensional types, and construct a power equipment simulation model based on the corrected association relationship.

[0093] Optionally, the target device simulation model determination module 420 includes: a target power equipment determination sub-module, used to determine the power equipment configured on the simulation station as the target power equipment based on the station identifier to be simulated and the power equipment configuration information of the station to be simulated; an equipment type determination sub-module, used to determine the equipment type to which the target power equipment belongs as the target type based on the power data dimension of the target power equipment; and a target device simulation model determination sub-module, used to select a power equipment simulation model corresponding to the target type from the candidate device simulation models as the target device simulation model.

[0094] Optionally, the simulation test module 430 includes: an electronic simulation data generation submodule and a simulation test submodule; wherein, the electronic simulation data generation submodule is specifically used to generate power simulation data through the target device simulation model according to the state of the device to be simulated; the simulation test submodule is specifically used to perform simulation testing on the power monitoring system based on the power simulation data.

[0095] The electronic simulation data generation submodule includes: an expected variation range determination unit, which is used to determine the expected variation range of the independent power data dimension according to the state of the device to be simulated; a model input data determination unit, which is used to randomly generate power data belonging to the independent power data dimension within the expected variation range as model input data; and a power simulation data generation unit, which is used to input the model input data into the target device simulation model and generate power simulation data through the target device simulation model.

[0096] Optionally, the state of the device to be simulated includes at least one of a normal state, an abnormal state, and an offline state.

[0097] Optionally, the equipment types include: at least one of switch cabinet, protection device, transformer, charging device, DC panel, emergency power supply and environmental control equipment; accordingly, the candidate equipment simulation models include: at least one of switch cabinet model, protection device model, transformer model, charging device model, DC panel model, emergency power supply model and environmental control equipment model.

[0098] An electric power monitoring system simulation test device provided by an embodiment of the present invention can execute an electric power monitoring system simulation test method provided by any embodiment of the present invention, and has corresponding performance modules and beneficial effects for executing an electric power monitoring system simulation test method.

[0099] Example 5

[0100] The fifth embodiment of the present application further provides a storage medium containing computer-executable instructions. When the computer-executable instructions are executed by a computer processor, the computer-executable instructions are used to perform a power monitoring system simulation test method, the method comprising:

[0101] Acquire power equipment simulation configuration information; wherein the power equipment simulation configuration information includes: a station identifier to be simulated and a status of the equipment to be simulated;

[0102] Determining a target device simulation model from candidate device simulation models based on the identification of the to-be-simulated station and the configuration information of the power equipment of the to-be-simulated station; wherein the candidate device simulation model is constructed based on the association relationship between the power data dimensions corresponding to the candidate power equipment;

[0103] According to the state of the device to be simulated, power simulation data is generated through the target device simulation model, and a simulation test is performed on the power monitoring system based on the power simulation data.

[0104] Storage media refers to any of various types of memory electronic devices or storage electronic devices. The term "storage medium" is intended to include: installation media, such as CD-ROMs, floppy disks, or tape devices; computer system memory or random access memory, such as DRAM, DDR RAM, SRAM, EDO RAM, Rambus RAM, etc.; non-volatile memory, such as flash memory, magnetic media (such as hard disks or optical storage); registers or other similar types of memory elements, etc. Storage media may also include other types of memory or combinations thereof. In addition, the storage medium may be located in the computer system in which the program is executed, or it may be located in a different second computer system that is connected to the computer system via a network (such as the Internet). The second computer system may provide program instructions to the computer for execution. The term "storage medium" may include two or more storage media that may reside in different locations (e.g., in different computer systems connected via a network). The storage medium may store program instructions (e.g., embodied as a computer program) that can be executed by one or more processors.

[0105] Of course, the storage medium containing computer-executable instructions provided in an embodiment of the present application, whose computer-executable instructions are not limited to the power monitoring system simulation test operations described above, can also execute related operations in the power monitoring system simulation test method provided in any embodiment of the present application.

[0106] Example 6

[0107] Embodiment 6 of the present application provides an electronic device, in which the power monitoring system simulation test device provided in the embodiment of the present application can be integrated. The electronic device can be configured within the system, or it can be a device that executes part or all of the performance within the system. Figure 5 This is a structural diagram of an electronic device provided in Example 6 of this application. Figure 5As shown, this embodiment provides an electronic device 500, which includes: one or more processors 520; a storage device 510 for storing one or more programs. When the one or more programs are executed by the one or more processors 520, the one or more processors 520 implement the power monitoring system simulation test method provided in the embodiment of the present application. The method includes:

[0108] Acquire power equipment simulation configuration information; wherein the power equipment simulation configuration information includes: a station identifier to be simulated and a status of the equipment to be simulated;

[0109] Determining a target device simulation model from candidate device simulation models based on the identification of the to-be-simulated station and the configuration information of the power equipment of the to-be-simulated station; wherein the candidate device simulation model is constructed based on the association relationship between the power data dimensions corresponding to the candidate power equipment;

[0110] According to the state of the device to be simulated, power simulation data is generated through the target device simulation model, and a simulation test is performed on the power monitoring system based on the power simulation data.

[0111] Of course, those skilled in the art will understand that the processor 520 also implements the technical solution of the power monitoring system simulation test method provided in any embodiment of the present application.

[0112] Figure 5 The electronic device 500 shown is merely an example and should not limit the performance and scope of use of the embodiments of the present application.

[0113] like Figure 5 As shown, the electronic device 500 includes a processor 520, a storage device 510, an input device 530, and an output device 540; the number of processors 520 in the electronic device can be one or more. Figure 5 In the figure, a processor 520 is used as an example; the processor 520, the storage device 510, the input device 530 and the output device 540 in the electronic device can be connected via a bus or other means. Figure 5 The connection via bus 550 is taken as an example.

[0114] The storage device 510 is a computer-readable storage medium that can be used to store software programs, computer executable programs, and module units, such as program instructions corresponding to the power monitoring system simulation test method in the embodiment of the present application.

[0115] The storage device 510 may primarily include a program storage area and a data storage area. The program storage area may store an operating system and at least one application required for performance; the data storage area may store data created based on the use of the terminal, etc. Furthermore, the storage device 510 may include high-speed random access memory and may also include non-volatile memory, such as at least one disk storage device, flash memory device, or other non-volatile solid-state memory device. In some instances, the storage device 510 may further include memory remotely located relative to the processor 520, and these remote memories may be connected via a network. Examples of the aforementioned networks include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0116] The input device 530 may be used to receive input numbers, character information or voice information, and generate key signal input related to user settings and performance control of the electronic device. The output device 540 may include electronic devices such as a display screen and a speaker.

[0117] The power monitoring system simulation test apparatus, medium, and electronic device provided in the above embodiments can execute the power monitoring system simulation test method provided in any embodiment of the present application, and have the corresponding performance modules and beneficial effects of executing the method. For technical details not fully described in the above embodiments, please refer to the power monitoring system simulation test method provided in any embodiment of the present application.

[0118] Note that the above are only preferred embodiments of the present application and the technical principles employed. Those skilled in the art will understand that the present application is not limited to the specific embodiments described herein, and that various obvious changes, readjustments, and substitutions can be made by those skilled in the art without departing from the scope of protection of the present application. Therefore, although the present application has been described in more detail through the above embodiments, the present application is not limited to the above embodiments and may include many other equivalent embodiments without departing from the scope of the present application. The scope of the present application is determined by the scope of the appended claims.

Claims

1. A simulation test method for a power monitoring system, characterized in that: The method comprises: Acquire power equipment simulation configuration information; wherein the power equipment simulation configuration information includes: a station identifier to be simulated and a status of the equipment to be simulated; Determining a target device simulation model from candidate device simulation models based on the identification of the to-be-simulated station and the configuration information of the power equipment of the to-be-simulated station; wherein the candidate device simulation model is constructed based on the association relationship between the power data dimensions corresponding to the candidate power equipment; According to the state of the device to be simulated, power simulation data is generated by the target device simulation model, and a simulation test is performed on the power monitoring system based on the power simulation data; Before obtaining the power equipment simulation configuration information, the method further includes the following process of constructing candidate equipment simulation models: classifying the candidate power equipment according to the power data dimensions corresponding to each candidate power equipment to obtain at least two equipment types; constructing corresponding power equipment simulation models for the equipment types according to the correlation between the power data dimensions, to obtain at least two candidate equipment simulation models; Among them, according to the correlation relationship between the power data dimensions, a corresponding power equipment simulation model is constructed for the equipment type, including: determining the dimension type of the power data dimension according to the functional attributes of the power data dimension: if the dimension type of the power data dimension is telemetry data or telepulse data, then the established mathematical relationship between the power data dimensions is used as the correlation relationship between the power data dimensions; if the dimension type of the power data dimension is telesignaling data, remote control data or remote adjustment data, then based on the historical power data of the power data dimension, the correlation relationship between the power data dimensions is determined through a time series model; according to the control relationship between power data dimensions of different dimensional types, the correlation relationship between the power data dimensions is corrected, and the power equipment simulation model is constructed according to the corrected correlation relationship.

2. The method according to claim 1, characterized in that Determining a target device simulation model from candidate device simulation models according to the identification of the to-be-simulated station and the configuration information of the power equipment of the to-be-simulated station includes: According to the identification of the to-be-simulated station and the configuration information of the power equipment of the to-be-simulated station, the power equipment configured at the simulation station is determined as the target power equipment; Determining, according to the power data dimension of the target power equipment, the device type to which the target power equipment belongs as the target type; An electric power equipment simulation model corresponding to the target type is selected from the candidate equipment simulation models as the target equipment simulation model.

3. The method according to claim 1, characterized in that Generating power simulation data using the target device simulation model according to the state of the device to be simulated, including: Determining an expected range of change of independent power data dimensions based on the state of the device to be simulated; Randomly generating power data belonging to the independent power data dimension within the expected variation range as model input data; The model input data is input into the target device simulation model, and power simulation data is generated by the target device simulation model.

4. The method according to claim 1, wherein The state of the device to be simulated includes at least one of a normal state, an abnormal state, and an offline state.

5. The method according to claim 1, wherein The equipment types include: at least one of switchgear, protection device, transformer, charging device, DC panel, emergency power supply and environmental control equipment; accordingly, the candidate equipment simulation models include: at least one of switchgear model, protection device model, transformer model, charging device model, DC panel model, emergency power supply model and environmental control equipment model.

6. A simulation test device for a power monitoring system, characterized in that: The device comprises: The power equipment simulation configuration information acquisition module is used to acquire the power equipment simulation configuration information; wherein the power equipment simulation configuration information includes: the identification of the station to be simulated and the status of the device to be simulated; a target device simulation model determination module, configured to determine a target device simulation model from candidate device simulation models based on the identification of the to-be-simulated station and the power device configuration information of the to-be-simulated station; wherein the candidate device simulation model is constructed based on the association relationship between the power data dimensions corresponding to the candidate power devices; A simulation test module, configured to generate power simulation data using the target device simulation model according to the state of the device to be simulated, and perform simulation testing on the power monitoring system based on the power simulation data; The apparatus further includes: a candidate device simulation model construction module, configured to construct a candidate device simulation model before obtaining the power device simulation configuration information; wherein the candidate device simulation model construction module includes: a device type determination submodule, configured to classify the candidate power devices according to the power data dimensions corresponding to each candidate power device to obtain at least two device types; a candidate device simulation model construction submodule, configured to construct corresponding power device simulation models for the device types according to the correlation between the power data dimensions, to obtain at least two candidate device simulation models; Among them, the candidate device simulation model construction sub-module includes: a dimension type determination unit, which is used to determine the dimension type of the power data dimension according to the functional attributes of the power data dimension; a first association relationship determination unit, which is used to use the established mathematical relationship between the power data dimensions as the association relationship between the power data dimensions if the dimension type of the power data dimension is telemetry data or telepulse data; a second association relationship determination unit, which is used to determine the association relationship between the power data dimensions through a time series model based on the historical power data of the power data dimension if the dimension type of the power data dimension is telesignaling data, remote control data or remote regulation data; a power equipment simulation model construction unit, which is used to correct the association relationship between the power data dimensions according to the control relationship between power data dimensions of different dimensional types, and construct a power equipment simulation model based on the corrected association relationship.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the power monitoring system simulation test method according to any one of claims 1 to 5 is implemented.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable by the processor, wherein: When the processor executes the computer program, the power monitoring system simulation test method according to any one of claims 1 to 5 is implemented.

Images