Wind power laboratory platform equipment state monitoring and fault analysis method and system

Abstract

The invention discloses a wind power laboratory platform equipment state monitoring and fault analysis method and system. The method comprises the following steps: controlling the on-off of each circuit breaker of a wind power laboratory platform through an IO relay device, and carrying out interlocking protection on the circuit breakers which cannot be closed at the same time; synchronously acquiring voltage, current and temperature signals of a plurality of nodes of the wind power laboratory platform; based on the collected voltage, current and temperature signals, state monitoring and fault analysis are carried out on wind power laboratory platform equipment by using an AI model; and displaying the equipment state and the fault information to a user through a user interaction interface and providing AI auxiliary processing guidance. According to the invention, through multi-node multi-source data synchronous acquisition and intelligent analysis by using the AI model, the problem of data islands is solved, the fault misjudgment rate is reduced, and the fault diagnosis response efficiency is improved; and the interlocking protection design of the circuit breaker reduces equipment damage accidents caused by manual misoperation, and improves the safety protection capability.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power system fault diagnosis, and in particular to a wind power laboratory platform equipment state monitoring and fault analysis method and system. BACKGROUND

[0002] The current wind power laboratory platform faces three major technical bottlenecks: first, the data acquisition system adopts a discrete sensor layout, leading to data island phenomenon, lacking multi-point synchronous analysis capability; the diagnosis mechanism relies on fixed threshold alarm, with high false alarm rate, and the average time consumption for fault positioning is as long as 45 minutes, with low positioning efficiency; finally, the security protection system is weak, lacking remote interlocking control and all-round protection means (such as temperature, motor vibration monitoring). The above three technical bottlenecks seriously restrict the efficiency and safety of the laboratory.

[0003] Therefore, it is urgent to provide a wind power laboratory platform equipment state monitoring and fault analysis method to solve the problems of data island, low fault diagnosis response efficiency and high misjudgment rate, and weak security protection existing in the existing wind power laboratory platform. SUMMARY

[0004] The technical problem to be solved by the present application is to provide a wind power laboratory platform equipment state monitoring and fault analysis method and system to solve the problems of data island, low fault diagnosis response efficiency and high misjudgment rate, and weak security protection existing in the existing wind power laboratory platform, and to effectively improve the stability and fault response efficiency of the wind power laboratory platform equipment.

[0005] To solve the above technical problems, the present application adopts the technical solution as follows: The present application provides a wind power laboratory platform equipment state monitoring and fault analysis method in the first aspect, comprising the following steps: controlling the on-off of each circuit breaker of the wind power laboratory platform through the IO relay device, and interlocking protection for the circuit breakers that cannot be closed at the same time based on the state of the circuit breakers; synchronously collecting voltage, current and temperature signals of multiple nodes of the wind power laboratory platform; based on the collected voltage, current and temperature signals, using an AI model to monitor the state and analyze the fault of the wind power laboratory platform equipment; and through a user interaction interface, showing the equipment state, fault information to the user and providing AI assisted processing guidance.

[0006] The second aspect of the present application provides a wind power laboratory platform equipment state monitoring and fault analysis system, comprising: a control execution module, configured to control the on-off of each circuit breaker of the wind power laboratory platform through an IO relay device, and to interlock protect the circuit breakers that cannot be closed at the same time based on the state of the circuit breakers; a data acquisition device, which is internally provided with a high-speed data acquisition card, and is connected with voltage sensors, current sensors and temperature sensors arranged at multiple nodes, and is configured to synchronously acquire voltage, current and temperature signals of the multiple nodes; a data processing and analysis module, configured to perform state monitoring and fault analysis on the wind power laboratory platform equipment by using an AI model based on the acquired voltage, current and temperature signals; and a user interaction module, configured to show the device state and fault information to the user through a user interaction interface and provide AI assisted processing guidance.

[0007] The beneficial technical effects of the present application are that: through synchronous acquisition and intelligent analysis of multi-source data of multiple nodes, the data island problem is solved; based on multi-source data (voltage, current and temperature signals), intelligent fault identification, analysis and early warning are performed by using an AI model, the fault misjudgment rate is reduced, and the fault diagnosis response efficiency is improved; the circuit breaker interlock protection design reduces the equipment damage accidents caused by human error operation, and improves the safety protection capability. BRIEF DESCRIPTION OF DRAWINGS

[0008] Figure 1 FIG. 1 is a structural schematic diagram of a wind power laboratory platform in an embodiment of the present application; Figure 2 FIG. 2 is a flow schematic diagram of a wind power laboratory platform equipment state monitoring and fault analysis method in an embodiment of the present application; Figure 3 FIG. 3 is a sub-flow schematic diagram of step S10 of FIG. 2; Figure 2 Figure 4 FIG. 4 is a sub-flow schematic diagram of step S30 of FIG. 2; Figure 2 Figure 5 FIG. 5 is a structural schematic diagram of a wind power laboratory platform equipment state monitoring and fault analysis system in an embodiment of the present application. DETAILED DESCRIPTION

[0009] In order for those skilled in the art to more clearly understand the purpose, technical solutions and advantages of the present application, the technical solutions in the embodiments of the present application will be described in detail below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0010] ​​The embodiment of the present application provides a wind power laboratory platform equipment state monitoring and fault analysis method. Figure 2 A flowchart of the wind power laboratory platform equipment state monitoring and fault analysis method provided by the embodiment of the present application is shown in the figure. Figure 2 The wind power laboratory platform equipment state monitoring and fault analysis method comprises steps S10 to S40. S10: The on-off of each circuit breaker of the wind power laboratory platform is controlled through an IO relay device, and the circuit breakers that cannot be closed simultaneously are interlocked and protected based on the state of the circuit breakers.

[0011] Figure 1 A structural diagram of the wind power laboratory platform in the embodiment of the present application is shown in the figure. Figure 1 In the embodiment, the wind power laboratory platform is provided with a high-voltage power distribution room transformer T0, a power grid simulation device, a transformer T1, a full-power test platform, a permanent magnet synchronous motor, a doubly-fed motor and a doubly-fed test platform. The voltage grade of the high-voltage power distribution room transformer T0 is 10kV on the primary side and 690V on the secondary side, and the capacity is 2MVA; the high-voltage power distribution room transformer is provided with a circuit breaker Q0 with an auxiliary voltage of 400V, a voltage grade of 690V and a current of 3200A at the rear end. The output voltage of the power grid simulation device is 690V, the auxiliary voltage is 400V, and the capacity is 6MVA; the power grid simulation device is provided with a circuit breaker Q2 with an auxiliary voltage of 400V, a voltage grade of 690V and a current of 6300A at the output end. The voltage grade of the transformer T1 is 690V / 1140V, and the capacity is 7.2MVA; the auxiliary voltage of the full-power test platform (used for placing a test object) is 400V, and the front end is provided with a circuit breaker Q4 with a voltage grade of 1140V and a current of 4000A and a circuit breaker Q5, and the circuit breaker Q4 and the circuit breaker Q5 are hard interlocked (they cannot be closed simultaneously). The voltage grade of the permanent magnet synchronous motor is 1380V, and the capacity is 10MVW; the voltage grade of the doubly-fed motor is 1380V, the capacity is 10MVW, and the auxiliary voltage is 400V; the output end of the full-power test platform and the stator of the permanent magnet synchronous motor are provided with a circuit breaker Q8 with a voltage of 1140V and a current of 5000A; the stator output and the rotor output end of the doubly-fed motor are respectively provided with a circuit breaker Q9 with a voltage of 1140V and a current of 4000A and a circuit breaker Q10 with a voltage of 1140V and a current of 2500A; the auxiliary voltage of the doubly-fed test platform is 400V, and the power grid end of the doubly-fed test platform is provided with a circuit breaker Q6 with a voltage grade of 1140V and a current of 4000A and a circuit breaker Q7, and the circuit breaker Q6 and the circuit breaker Q7 are hard interlocked (they cannot be closed simultaneously).

[0012] The IO relay is 220V / 10A, and multiple relays are integrated and packaged together. The IO relay communicates with the upper computer through a network cable, and the communication protocol is Modbus-TCP. The control execution module (software program module) configured in the upper computer controls the closing and opening of the IO relay, drives the on-off of the coil of the circuit breaker of the wind power laboratory platform, and indirectly controls the closing and opening of the circuit breaker: when the IO relay is closed, the circuit breaker coil is powered, the contact is closed, and the high-voltage loop of the wind power laboratory platform is conducted; when the IO relay is opened, the circuit breaker coil loses power, the contact is opened, and the high-voltage loop of the wind power laboratory platform is disconnected.

[0013] The step S10 is executed by a control execution module, which is configured in the upper computer in this embodiment. As shown in the figure, Figure 3 The step S10 further includes: S11: In response to the closing operation instruction input by the user, the on-off of each circuit breaker of the wind power laboratory platform is controlled through the IO relay device. Specifically, when the user inputs an automatic closing operation instruction, the control execution module configured in the upper computer controls the on-off (closing and opening) of each circuit breaker of the wind power laboratory platform through the IO relay device according to the preset timing and logic; when the user inputs a manual closing operation instruction, the control execution module configured in the upper computer controls the on-off of the corresponding circuit breaker through the IO relay device according to the manual closing operation instruction.

[0014] S12: The state of each circuit breaker of the wind power laboratory platform is acquired in real time. Specifically, after the circuit breaker is closed, the state of the auxiliary contact of the circuit breaker (circuit breaker state) is fed back to the upper computer through the IO relay device and refreshed in real time on the user interface of the upper computer.

[0015] S13: An interlocking protection mechanism is executed to interlock the circuit breakers that cannot be closed at the same time based on the state of the circuit breakers. Specifically, when the interlocking protection mechanism is executed, the circuit breakers that cannot be closed at the same time are interlocked by recognizing the state of the circuit breakers, so as to realize software interlocking; at the same time, the circuit breakers that cannot be closed at the same time are connected in series through their respective auxiliary contacts to the control circuit of another circuit breaker, realizing hardware interlocking protection between the circuit breakers, and avoiding misoperation.

[0016] In some embodiments, the step S10 further includes: S14: If no heartbeat signal is received from the IO relay device within a preset time period, it is determined that the corresponding IO relay device is offline. Specifically, to ensure system stability, a communication exception detection is added at the host computer end, and a communication heartbeat signal exists between the network communication between the host computer and the IO relay device. The heartbeat signal is a series of periodic pulse signals. If the communication is normal, the pulse is continuous, and if the communication is abnormal, the pulse becomes a straight line. If the heartbeat signal uploaded by the IO relay device cannot be received within a period of time, it is determined that the communication link between the host computer and the IO relay device is disconnected (i.e., offline), and a warning information is displayed in the interactive interface.

[0017] S20: Synchronously collecting voltage, current and temperature signals of multiple nodes of the wind power laboratory platform.

[0018] As shown in Figure 1 , node 0 is arranged at the secondary side of the transformer in the high-voltage distribution room, node 1 and node 2 are arranged at the front and rear ends of the power grid simulation device, node 3 and node 4 are arranged at the front and rear ends of the full-power test platform, node 5 and node 6 are arranged at the stator output end and the rotor output end of the doubly-fed motor, and node 7 is arranged at the power grid end of the doubly-fed test platform. Three-phase voltage and current detection and temperature detection are performed at each of the above nodes.

[0019] Referring again to Figure 1 , the red test nodes (node 0 to node 7) in Figure 1 are respectively provided with voltage sensors and current sensors for detecting three-phase voltage and current, and temperature sensors for detecting cable temperature, motor temperature and environmental temperature. The voltage sensor adopts a differential probe with a bandwidth of ≥100MHz (such as TPP0850 model), and the measurement error is <0.5%; the current sensor adopts an open-loop Hall sensor (such as CHB-50S model), and the linearity error is ≤0.2%; and the temperature sensor adopts a distributed PT100 platinum resistance, and the temperature measurement accuracy is ±0.5℃.

[0020] In the embodiment of the present application, a data acquisition device is used to synchronously collect voltage, current and temperature signals of multiple nodes of the wind power laboratory platform, and the data acquisition device is connected with voltage sensors, current sensors and temperature sensors arranged at the multiple nodes.

[0021] The data acquisition device is internally provided with a high-speed data acquisition card, and the sampling rate is as high as 500 kHz, which can guarantee that transient events (such as voltage sag and current mutation) can be captured; at the same time, the high-speed data acquisition card works in parallel, and can realize synchronous sampling of multiple channels, guarantee the consistency of voltage and current data in time, and facilitate phase analysis and fault diagnosis. The data output by each sensor is connected to the acquisition channel of the high-speed data acquisition card, and the data of the voltage sensor and the current sensor are collected into the data buffer area according to the set sampling rate of 20 kHz or higher, and then the data is uploaded to the host computer data storage area through the 485 communication interface.

[0022] The high-speed data acquisition card internally integrates a time domain synchronization guarantee mechanism, specifically, an IEEE 1588 precision clock protocol is adopted to realize a clock deviation of <1 μs between each acquisition channel; and a ring buffer structure is adopted for the data buffer area to ensure zero data loss under 20 kHz sampling.

[0023] S30: Based on the collected voltage, current and temperature signals, an AI model is used to perform state monitoring and fault analysis on the wind power laboratory platform equipment.

[0024] Specifically, the position information of each node, the collected voltage / current and temperature signals of each node, the fault threshold and the main power flow path are imported into the AI model (large language model), a multi-dimensional feature vector is first constructed based on the voltage / current signals of each node, then the transient features of the voltage / current signals of each node are extracted by using the wavelet transform method, and finally the multi-dimensional feature vector, the extracted transient features, the temperature signal and the corresponding fault threshold are used for fault analysis and fault positioning, so as to realize the state monitoring and fault analysis of the wind power laboratory platform equipment, and the results are fed back to the user interaction interface for display.

[0025] As shown in Figure 4 , the step S30 further includes steps S31 to S33: S31: Constructing a multi-dimensional feature vector based on the voltage and current signals of each node.

[0026] In this example, a 10-dimensional feature vector is constructed based on the voltage and current signals of each node: .

[0027] The definition and calculation method of each feature dimension are shown in the following table: It should be noted that in other embodiments, the number of dimensions of the constructed multi-dimensional feature vector can be 7, 8 or other number of dimensions.

[0028] S32: Extracting the transient characteristics of voltage and current signals of each node by using wavelet transform method.

[0029] The transient voltage data and / or transient current data (such as transient overvoltage and / or transient overcurrent, voltage drop and / or current surge, pulse, etc.) obtained at the fault moment cannot accurately extract the characteristic information of the fault moment by Fourier transform for processing steady-state data, but wavelet transform can accurately locate the time of impact and analyze its frequency components, thereby judging the fault type, severity and fault location.

[0030] In the embodiment of the application, the wavelet transform method is used to extract the transient characteristics of voltage and current signals of each node, and the basic formula of wavelet transform is: ; Among them is the similarity degree, is the input signal (original voltage / current signal), is the complex conjugate of the mother wavelet (decaying oscillatory waveform), a is the scale parameter (controls the movement of the wavelet in the frequency domain), and b is the translation parameter (controls the movement of the wavelet in the time domain).

[0031] Mother wavelet selection: Daubechies 4 (db4) wavelet, which takes into account the time-frequency resolution, achieves a good balance between support length and oscillation times, and can effectively detect most transient faults. By continuously changing the values of a and b, a two-dimensional similarity number graph about a and b can be obtained, so that the signal can be fully understood at what time and what frequency component, and the cause of the fault caused by the transient process can be clearly understood, which is due to resonance, transient overvoltage, undervoltage or overcurrent, etc. Combined with the characteristics of the circuit, the obtained characteristic quantity is identified as capacitor switching, transformer inrush current, line fault, etc., which is used to assist fault location.

[0032] S33: Comparing the constructed multi-dimensional feature vector, temperature signal and corresponding fault threshold to perform fault analysis, and performing fault location based on the extracted transient characteristics.

[0033] In the process of fault analysis and fault location, the fault type and fault determination logic are as shown in the following table: S40: Showing the device state, fault information to the user through the user interaction interface and providing AI assisted processing guidance.

[0034] In the present application, an intuitive operation interface is provided for the user through the user interaction interface, which is used to perform closing, opening, power quality detection and other operations; in addition, the user interaction interface also provides a multi-dimensional information display interface for the user, which is used to display voltage, current, power, power quality and other multi-dimensional information on the same interface, so as to facilitate the user to make unified judgment.

[0035] (I) Show device status (1.1) Status overview: The overall status of the device is displayed through the home page, including the running status of the device, the load condition, fault alarm, etc.

[0036] (1.2) Real-time data panel: Show the current voltage, current, power and other key parameters, and update them in real time in the form of numbers and graphs.

[0037] (1.3) Historical trend chart: Provide a line chart or column chart of historical data, and users can select a time range to view historical trends.

[0038] (1.4) AI analysis results: Show the analysis results of AI on the device status, such as predictive maintenance suggestions, performance optimization suggestions, etc.

[0039] (II) Show fault information (2.1) Real-time notification: Real-time notification of abnormal conditions of the device through pop-up windows, sounds or emails, etc.

[0040] (2.2) Fault location: Provide the precise location and possible causes of the fault, as well as the timestamp of the fault occurrence.

[0041] (2.3) Fault log: Record detailed information of all fault events, including fault type, time, handling status, etc.

[0042] (III) Provide AI-assisted handling guidance (3.1) Step guidance: When a fault is detected, provide AI-based fault handling step guidance to help users quickly solve problems.

[0043] (3.2) Fault simulation: Simulate the fault handling process, allowing users to practice troubleshooting without affecting the actual device.

[0044] (3.3) Knowledge base: Integrate a knowledge base containing common faults and their solutions, which users can quickly query.

[0045] (IV) Circuit breaker control (4.1) Automatic closing function: Users can choose automatic closing, and the platform will power on with one key, automatically performing all necessary closing operations.

[0046] (4.2) Manual closing function: Users can also choose to manually close the circuit breaker. The platform provides a manual control interface, allowing users to close the circuit breaker one by one.

[0047] (Five) Circuit diagram display (5.1) Circuit diagram view: The user interface displays the entire wind power laboratory platform circuit diagram, visually displaying the connection relationship between each component.

[0048] (5.2) State identification: After the circuit breaker is closed, the circuit diagram automatically displays the circuit breaker as closed.

[0049] (5.3) Live warning: Once there is voltage in the circuit, the circuit diagram automatically identifies the circuit as blue and live, and the platform warning light is activated through the relay control.

[0050] (Six) Safety protection settings (6.1) Live working warning settings: After setting, the platform automatically judges the warning to prevent users from working in a live state.

[0051] (6.2) Margin protection settings: Ensure that the platform has sufficient protection capacity, such as the breaking capacity of the circuit breaker, the rated voltage should not be less than the voltage in the circuit, and the environmental temperature should be within the working range of the device. The safety of the converter and platform equipment can be ensured in extreme test conditions.

[0052] The wind power laboratory platform device state monitoring and fault analysis method provided by the embodiment of the application has the following beneficial technical effects: (1) Through multi-source data synchronous collection and intelligent analysis of multiple nodes, the data island problem is solved; (2) Based on multi-source data (voltage, current and temperature signals), AI models are used for intelligent fault identification, analysis and early warning. Through multi-source data fusion analysis, the fault misjudgment rate is reduced, and the fault diagnosis response efficiency is improved; (3) Based on the voltage and current signals of each node, a multi-dimensional feature vector is constructed for fault analysis. Through multi-dimensional feature comparison and judgment, comprehensive fault identification and analysis are performed, further reducing the fault misjudgment rate; (4) The wavelet transform method is used to extract the transient characteristics of the voltage and current signals of each node for fault positioning, solving the problem of complex fault tracing; (5) Interlock protection design of circuit breaker: Through hardware and software double interlock design, the damage accident caused by human error operation is reduced, and the safety protection ability is improved.

[0053] (6) Through the user interface, the device status, fault information, platform circuit diagram and AI auxiliary processing guidance are shown to the user, which provides a powerful data analysis tool for laboratory managers, helps them better understand the running status of the device, make more effective maintenance plans, and ultimately improve the reliability and efficiency of the entire wind power converter test process.

[0054] (7) Increase the live working alert and margin protection, further enhance the safety protection ability.

[0055] The embodiment of the present application also provides a wind power laboratory platform device state monitoring and fault analysis system. Figure 5 As shown in the figure, the wind power laboratory platform device state monitoring and fault analysis system comprises a data acquisition device, a data processing and analysis module, a control execution module and a user interaction module, wherein the data processing and analysis module, the control execution module and the user interaction module are configured in the host computer.

[0056] The control execution module: The control execution module is used to control the on-off of each circuit breaker of the wind power laboratory platform through the IO relay device, and to interlock protect the circuit breakers that cannot be closed at the same time based on the state of the circuit breakers.

[0057] Again referring to Figure 5In the embodiment, the wind power laboratory platform is provided with a high-voltage distribution room transformer T0, a power grid simulation device, a transformer T1, a full-power test platform, a permanent magnet synchronous motor, a doubly-fed motor and a doubly-fed test platform. The voltage level of the high-voltage distribution room transformer T0 is 10 kV on the primary side and 690 V on the secondary side, and the capacity is 2 MVA; the high-voltage distribution room transformer is provided with a auxiliary voltage circuit breaker Q0 with a voltage of 400 V, a voltage level of 690 V and a current of 3200 A. The output voltage of the power grid simulation device is 690 V, the auxiliary voltage is 400 V, and the capacity is 6 MVA; the power grid simulation device is provided with a auxiliary voltage circuit breaker Q2 with a voltage of 400 V, a voltage level of 690 V and a current of 6300 A. The voltage level of the transformer T1 is 690 V / 1140 V, and the capacity is 7.2 MVA; the auxiliary voltage of the full-power test platform (for placing the test object) is 400 V, and the front end is provided with a circuit breaker Q4 and a circuit breaker Q5 with a voltage level of 1140 V and a current of 4000 A. The circuit breaker Q4 and the circuit breaker Q5 are interlocked (they cannot be closed at the same time). The voltage level of the permanent magnet synchronous motor is 1380 V, and the capacity is 10 MVW; the voltage level of the doubly-fed motor is 1380 V, the capacity is 10 MVW, and the auxiliary voltage is 400 V; the full-power test platform output end and the permanent magnet synchronous motor stator are provided with a circuit breaker Q8 with a voltage of 1140 V and a current of 5000 A; the doubly-fed motor stator output and the rotor output end are respectively provided with a circuit breaker Q9 with a voltage of 1140 V and a current of 4000 A and a circuit breaker Q10 with a voltage of 1140 V and a current of 2500 A; the auxiliary voltage of the doubly-fed test platform is 400 V, and the doubly-fed test platform power grid end is provided with a circuit breaker Q6 and a circuit breaker Q7 with a voltage level of 1140 V and a current of 4000 A. The circuit breaker Q6 and the circuit breaker Q7 are interlocked (they cannot be closed at the same time).

[0058] The IO relay has a specification of 220V / 10A, multiple relays are integrated and packaged together, and communicate with the upper computer through a network cable. The communication protocol is Modbus-TCP. The control execution module (software program module) configured in the upper computer controls the closing and opening of the IO relay, drives the on-off of the coil of the circuit breaker of the wind power laboratory platform, and indirectly controls the closing and opening of the circuit breaker: when the IO relay is closed, the circuit breaker coil is powered, the contact is closed, and the high-voltage loop of the wind power laboratory platform is conducted; when the IO relay is opened, the circuit breaker coil loses power, the contact is opened, and the high-voltage loop of the wind power laboratory platform is broken.

[0059] The control execution module controls the on-off of each circuit breaker of the wind power laboratory platform through the IO relay device, and interlocks and protects the circuit breakers that cannot be closed at the same time based on the state of the circuit breaker. The specific steps can be seen in Figures 1-4 The specific definitions of steps S11 to S14 in the illustrated embodiment are not repeated here.

[0060] Data acquisition device: In this embodiment of the invention, a data acquisition device is used to simultaneously acquire voltage, current, and temperature signals from multiple nodes of a wind power laboratory platform.

[0061] like Figure 5 As shown, node 0 is set on the secondary side of the transformer in the high-voltage distribution room, nodes 1 and 2 are set at the front and rear ends of the power grid simulation device, nodes 3 and 4 are set at the front and rear ends of the full-power test platform, nodes 5 and 6 are set at the stator output end and rotor output end of the doubly fed motor, and node 7 is set at the power grid end of the doubly fed test platform. Three-phase voltage and current detection and temperature detection are performed at each of the above nodes.

[0062] See you again Figure 5 ,exist Figure 5 The red test nodes (nodes 0 to 7) are equipped with voltage and current sensors to detect the three-phase voltage and current, respectively, and temperature sensors to detect cable temperature, motor temperature, and ambient temperature. Specifically, the voltage sensors use differential probes with a bandwidth ≥100MHz (e.g., TPP0850 model) with a measurement error <0.5%; the current sensors use open-loop Hall effect sensors (e.g., CHB-50S model) with a linearity error ≤0.2%; and the temperature sensors use distributed PT100 platinum resistance thermometers with a temperature measurement accuracy of ±0.5℃.

[0063] The data acquisition device is connected to voltage, current, and temperature sensors located at multiple nodes to synchronously acquire voltage, current, and temperature signals from multiple nodes. The device incorporates a high-speed data acquisition card with a sampling rate of up to 500kHz, ensuring the capture of transient events (such as voltage dips and current surges). Simultaneously, the high-speed data acquisition card operates in parallel, enabling synchronous sampling of multi-channel data to guarantee temporal consistency of voltage and current data, facilitating phase analysis and fault diagnosis. Data output from each sensor is fed into the acquisition channel of the high-speed data acquisition card. At a set sampling rate of 20kHz or higher, the data from the voltage and current sensors is acquired and stored in a data buffer. The data is then uploaded to the host computer's data storage area via a RS-485 communication interface.

[0064] The high-speed data acquisition card integrates a time-domain synchronization guarantee mechanism. Specifically, it adopts the IEEE 1588 precision clock protocol to achieve a clock deviation of <1μs between each acquisition channel. The data buffer adopts a ring buffer structure to ensure zero data loss at 20kHz sampling.

[0065] Data processing and analysis module: The data processing and analysis module is used to perform status monitoring and fault analysis on the wind power laboratory platform equipment based on the collected voltage, current and temperature signals using an AI model.

[0066] Specifically, the position information of each node, the voltage / current and temperature signals collected from each node, the fault threshold and the main power flow path are imported into the AI model (large language model). First, a multi-dimensional feature vector is constructed based on the voltage / current signals of each node. Then, the transient features of the voltage / current signals of each node are extracted using wavelet transform method. Finally, the multi-dimensional feature vector, the extracted transient features, the temperature signal and the corresponding fault threshold are compared to perform fault analysis and fault location, so as to realize state monitoring and fault analysis of the wind power laboratory platform equipment. The results are fed back to the user interaction interface for display.

[0067] The specific steps of the data processing and analysis module for state monitoring and fault analysis of the wind power laboratory platform equipment based on the collected voltage, current and temperature signals can be seen in Figures 1-4 The specific definition of steps S31 to S33 in the illustrated embodiment will not be repeated here.

[0068] User interaction module: The user interaction module is used to show the device state, fault information to the user through the user interaction interface, and provide AI assisted processing guidance.

[0069] In the present application, the user interaction module provides a user with an intuitive operation interface through the user interaction interface, which is used to perform closing, opening, power quality detection and other operations. In addition, the user interaction module also provides a multi-dimensional information display interface for the user through the user interaction interface, which is used to display voltage, current, power, power quality and other multi-dimensional information on the same interface, so as to facilitate the user to make unified judgment.

[0070] Specifically, the user interaction module can realize the following functions through the user interaction interface: (I) Show device state (1.1) State overview: The overall state of the device is displayed through the home page, including the running state of the device, the load condition, the fault alarm, etc.

[0071] (1.2) Real-time data panel: The current voltage, current, power and other key parameters are displayed in the form of numbers and graphics, which are updated in real time.

[0072] (1.3) Historical trend chart: A line chart or a column chart of historical data is provided, and the user can select a time range to view the historical trend.

[0073] (1.4) AI analysis result: The AI analysis result of the device state is displayed, such as predictive maintenance suggestion, performance optimization suggestion, etc.

[0074] (II) Show fault information (2.1) Real-time notification: Real-time notification of abnormal conditions of the device through pop-up windows, sound or email, etc.

[0075] (2.2) Fault location: Provide the exact location and possible causes of the fault, as well as the timestamp of the fault occurrence.

[0076] (2.3) Fault log: Record detailed information of all fault events, including fault type, time, handling status, etc.

[0077] (Three) Provide AI-assisted processing guidance (3.1) Step guidance: Provide AI-based fault handling step guidance when detecting faults, helping users quickly solve problems.

[0078] (3.2) Fault simulation: Simulate the fault handling process, allowing users to practice troubleshooting without affecting the actual device.

[0079] (3.3) Knowledge base: Integrate a knowledge base containing common faults and their solutions, allowing users to quickly query.

[0080] (Four) Circuit breaker control (4.1) Automatic closing function: Users can choose automatic closing, and the platform will automatically execute all necessary closing operations.

[0081] (4.2) Manual closing function: Users can also choose manual closing, and the platform provides a manual control interface to allow users to close the circuit breaker one by one.

[0082] (Five) Circuit diagram display (5.1) Circuit diagram view: Display the entire wind power laboratory platform circuit diagram on the user interaction interface, intuitively showing the connection relationship between each component.

[0083] (5.2) State identification: After the circuit breaker is closed, the circuit diagram automatically displays the circuit breaker as closed.

[0084] (5.3) Live warning: Once there is voltage in the circuit, the circuit diagram automatically identifies the circuit as blue and live, and the platform warning light is activated through the relay control.

[0085] (Six) Safety protection settings (6.1) Live work warning setting: After setting, the platform automatically judges the warning and prevents users from working in a live state.

[0086] (6.2) Protection margin setting: Ensure that the platform has sufficient protection capability, such as the breaking capacity of the circuit breaker, the rated voltage should not be less than the voltage / current in the circuit, and the ambient temperature should be within the working range of the device, so that the circuit can be cut off in time to ensure the safety of the converter and platform equipment under extreme test conditions.

[0087] The wind power laboratory platform equipment state monitoring and fault analysis system provided by the embodiments of the present application has the beneficial technical effects that: (1) Through multi-source data synchronous collection and intelligent analysis of multiple nodes, the data island problem is solved; (2) Based on multi-source data (voltage, current and temperature signals), AI model is used for intelligent fault identification, analysis and early warning, through multi-source data fusion analysis, the fault misjudgment rate is reduced, and the fault diagnosis response efficiency is improved; (3) Based on the voltage and current signals of each node, a multi-dimensional feature vector is constructed for fault analysis, and through multi-dimensional feature comparison and judgment, comprehensive fault identification and analysis are performed, further reducing the fault misjudgment rate; (4) The wavelet transform method is used to extract the transient characteristics of the voltage and current signals of each node for fault positioning, solving the problem of complex fault tracing; (5) Interlock protection design of circuit breaker, through hardware and software double interlock design, reduces the damage accidents caused by human error operation, and improves the safety protection ability.

[0088] (6) Through the user interaction interface, the device state, fault information, platform circuit diagram and AI auxiliary processing guidance are provided to the user, providing a powerful data analysis tool for laboratory managers, helping them better understand the running status of the equipment, make more effective maintenance plans, and ultimately improve the reliability and efficiency of the entire wind power converter test process.

[0089] (7) Increase the live work warning and margin protection, further enhance the safety protection ability.

[0090] In summary, by implementing the above technical solutions, the present application can significantly improve the operation stability of the wind power laboratory platform, optimize the fault handling process, reduce the test interruption and data loss caused by equipment failure, and thus ensure the efficient operation of the wind power system research and test work. In addition, the present application can also provide a powerful data analysis tool for laboratory managers, helping them better understand the running status of the equipment, make more effective maintenance plans, and ultimately improve the reliability and efficiency of the entire wind power converter test process, reduce the equipment downtime, and improve the operation reliability of the wind power laboratory platform equipment.

[0091] The above-described embodiments are only used to illustrate the technical solutions of the present application, and are not intended to limit the present application; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: it can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement for part of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should be included in the protection scope of the present application.

Claims

1. A method for condition monitoring and fault analysis of wind power laboratory platform equipment, characterized in that, Includes the following steps: The on / off state of each circuit breaker on the wind power laboratory platform is controlled by IO relay devices, and interlocking protection is provided for circuit breakers that cannot be closed simultaneously based on their status. Simultaneously collect voltage, current, and temperature signals from multiple nodes on the wind power laboratory platform; Based on the collected voltage, current and temperature signals, an AI model is used to perform status monitoring and fault analysis on the equipment of the wind power laboratory platform. The system displays device status and fault information to users through a user interface, and provides AI-assisted troubleshooting guidance.

2. The method for monitoring the status and analyzing the faults of wind power laboratory platform equipment as described in claim 1, characterized in that, The method of controlling the on / off state of each circuit breaker on the wind power laboratory platform via an IO relay device, and providing interlocking protection for circuit breakers that cannot be closed simultaneously based on their status, includes: In response to the user's input closing operation command, the on / off state of each circuit breaker on the wind power laboratory platform is controlled by the IO relay device; Real-time status of each circuit breaker on the wind power laboratory platform; An interlocking protection mechanism is implemented, which provides interlocking protection for circuit breakers that cannot be closed simultaneously based on their status.

3. The method for monitoring the status and analyzing the faults of wind power laboratory platform equipment as described in claim 2, characterized in that, The response to the user-input closing operation command, controlling the on / off state of each circuit breaker on the wind power laboratory platform via an IO relay device, includes: In response to the user's input of an automatic closing operation command, the system remotely controls the on / off state of each circuit breaker on the wind power laboratory platform through an IO relay device according to a preset timing and logic. In response to a user-inputted manual closing operation command, the corresponding circuit breaker is controlled to open or close via an IO relay device according to the manual closing operation command.

4. The method for monitoring the status and analyzing the faults of wind power laboratory platform equipment as described in claim 2 or 3, characterized in that, The method of controlling the on / off state of each circuit breaker on the wind power laboratory platform via an IO relay device, and providing interlocking protection for circuit breakers that cannot be closed simultaneously based on their status, also includes: If no heartbeat signal is received from the IO relay device within the preset time period, the corresponding IO relay device is determined to be offline.

5. The method for monitoring the status and analyzing the faults of wind power laboratory platform equipment as described in claim 1, characterized in that, The method involves using an AI model to perform condition monitoring and fault analysis on the wind power laboratory platform equipment based on the collected voltage, current, and temperature signals, including: A multi-dimensional feature vector is constructed based on the voltage and current signals of each node; The transient features of voltage and current signals at each node are extracted using wavelet transform. Fault analysis is performed by comparing the constructed multidimensional feature vector, temperature signal and corresponding fault threshold, and fault location is performed based on the extracted transient features.

6. The method for monitoring the status and analyzing the faults of wind power laboratory platform equipment as described in claim 5, characterized in that, The fault analysis supports single-node level faults and full-node level fault classification. Fault types include at least one of the following: overvoltage fault, overcurrent fault, power overload fault, large power deviation fault, power grid instability fault, harmonic over-limit fault, cable temperature too high fault, motor temperature too high fault, or ambient temperature too high fault.

7. A system for monitoring the condition and analyzing the faults of equipment on a wind power laboratory platform, characterized in that, include: The control execution module is used to control the on / off state of each circuit breaker on the wind power laboratory platform through IO relay devices, and to provide interlock protection for circuit breakers that cannot be closed simultaneously based on their status. The data acquisition device has a built-in high-speed data acquisition card that connects to voltage sensors, current sensors and temperature sensors located at multiple nodes to synchronously acquire voltage, current and temperature signals from multiple nodes. The data processing and analysis module is used to perform status monitoring and fault analysis on the wind power laboratory platform equipment based on the collected voltage, current and temperature signals using AI models. The user interaction module is used to display device status, fault information, and provide AI-assisted processing guidance to users through a user interface.

8. The wind power laboratory platform equipment status monitoring and fault analysis system as described in claim 7, characterized in that, The voltage sensor is a differential probe with a bandwidth of ≥100MHz and a measurement error of <0.5%; the current sensor is an open-loop Hall sensor with a linearity error of ≤0.2%; and the temperature sensor is a PT100 platinum resistance thermometer with a temperature measurement accuracy of ±0.5℃.

9. The wind power laboratory platform equipment status monitoring and fault analysis system as described in claim 7, characterized in that, The high-speed data acquisition card has a sampling rate of ≥20kHz, supports the IEEE1588 protocol to achieve multi-channel synchronous sampling, has a clock deviation of <1μs between channels, and adopts a ring buffer structure to ensure zero data loss.

10. The wind power laboratory platform equipment status monitoring and fault analysis system as described in claim 7, characterized in that, The circuit breakers in the wind power laboratory platform that cannot be closed simultaneously are designed with auxiliary contacts connected in series to achieve hardware interlocking.

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