Equipment suitable for fault detection of auxiliary converter
By designing a device that includes a DC analog power supply, a control power supply, a main control board, a CPU, an I/O board, and a CAN communication device, the problem of relying on manual experience for fault detection of wind turbine converters is solved. This device achieves high accuracy and robustness in fault detection and provides precise fault analysis basis.
Patent Information
- Application Number
- CN202423307093.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-31
- Publication Date
- 2026-01-02
- Estimated Expiration
- 2034-12-31
AI Technical Summary
In existing technologies, the detection of wind turbine converter faults relies on human experience, resulting in a low fault resolution rate and the potential for greater losses. Furthermore, existing devices cannot download fault data in real time.
A device was designed that includes a DC analog power supply, a control power supply, a main control board, a CPU, an I/O board, a CAN communication device, and a host computer. The device processes current and voltage signals through a signal acquisition module and a filter, and uploads data to the host computer for visualization analysis using the CAN communication module, thereby achieving accurate acquisition and download of fault data.
It achieves high accuracy and robustness in converter fault detection, provides precise fault analysis basis, improves the applicability and intelligence of detection, and is convenient and quick to use.
Smart Images

Figure CN223756837U_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The utility model belongs to the technical field of fault detection of converter, and particularly relates to an equipment suitable for auxiliary fault detection of converter. BACKGROUND
[0002] With the development of wind power generation technology, converters are diversified, and different faults of the converter can occur due to hardware software or quality problems in the working process. Engineers study the causes of the faults of the converter, and still use artificial experience to solve the faults of the wind turbine converter at the present stage, but the experience-based problem solving method has the problem of low fault solving rate.
[0003] For uncertain faults occurring in the operation of the wind turbine, different converter faults can occur due to uncertain factors such as the power grid and hardware in the operation of the wind turbine, which has a great impact on the power generation efficiency of the wind turbine and the safety of personnel. At the present stage, workers still rely on traditional experience to maintain for such faults of the converter, and such trial-and-error method for solving problems is extremely low in efficiency and easy to cause greater losses, which provides the necessity for the development of a mobile detection device.
[0004] The prior art CN207502683U discloses an intelligent fault detection device for a wind turbine generator system converter, which can remotely detect and intelligently warn, but can only judge three variables of current, voltage and temperature and cannot download real-time fault data. UTILITY MODEL CONTENT
[0005] To solve the defects of the prior art, an equipment suitable for auxiliary fault detection of converter is provided, which comprises a DC analog power supply for supplying power to an IO board of a tester device, a control power supply for supplying power to the entire internal part of the tester device, a main control board, a CPU, an IO board, a CAN communication device and an upper computer. The DC analog power supply, the control power supply, the CPU, the IO board, the CAN communication device and the upper computer are connected to the main control board.
[0006] Further, the DC analog power supply is connected to the IO board, the control power supply is connected to 220V alternating current through a 220V power supply connection port, and the control power supply is connected to the DC analog power supply, the main control board and the CAN communication module.
[0007] Further, the main control board comprises a signal acquisition module, the signal acquisition module comprises a plurality of analog input ends, and each analog quantity is input through a machine-side current port, a grid-side current port, a bus voltage sampling port, a power grid voltage sampling port and a stator voltage sampling port input end.
[0008] Further, the IO board comprises an analog signal module, the analog signal module comprises a plurality of analog outputs, and each analog signal is output through a contact feedback interface, an encoder interface, a first IO feedback interface, a second IO feedback interface and an NTC temperature feedback interface.
[0009] Further, the analog signal module comprises one or more of the following circuits: a resistance circuit for analog temperature signals, a rotating speed detection circuit for analog motor speed signals, a voltage detection circuit for analog motor network side voltage and a current detection circuit for analog motor network side current.
[0010] Further, the CPU is a logic circuit of a DSP chip and an FPGA.
[0011] Further, the upper computer is connected with the monitoring interface.
[0012] Further, the CAN communication device is a CAN communication to Ethernet module, integrated data is uploaded to the upper computer, and the data is visualized through an oscilloscope.
[0013] The auxiliary converter fault detection device has the advantages that the device is simple in structure, small in size, accurate in fault detection, intuitive in quantification of voltage and current signals, high in robustness, highly intelligent, convenient and fast in use, and high in detection applicability. BRIEF DESCRIPTION OF DRAWINGS
[0014] Figure 1 It is an external port connection diagram of the converter mobile test device of the utility model;
[0015] Figure 2 It is an electrical connection diagram of the converter mobile test device of the utility model;
[0016] Figure 3 It is a related module logic relation diagram of the auxiliary converter fault detection mobile detection device of the utility model;
[0017] Figure 4 It is a fault data acquisition and download flowchart based on software and hardware of the utility model;
[0018] Figure 5 It is a data oscillogram of the utility model.
[0019] Wherein, the reference signs are:
[0020] 1. 220V power connection port, 2. machine side current port, 3. grid side current port, 4. reserved current port, 5. bus voltage sampling port, 6. grid voltage sampling port, 7. stator voltage sampling port, 8. switch, 9. monitoring interface, 10. contactor feedback interface, 11. encoder interface, 12. first IO feedback interface, 13. second IO feedback interface, 14. NTC temperature feedback interface. DETAILED DESCRIPTION
[0021] Embodiment 1
[0022] A device suitable for auxiliary converter fault detection, as shown in Figure 1 , comprising: a DC analog power supply for powering the tester device IO board, a control power supply for powering the entire internal tester device, a main control board, a CPU, an IO board, a CAN communication device, and an upper computer, the DC analog power supply, the control power supply, the CPU, the IO board, the CAN communication device, and the upper computer are connected with the main control board.
[0023] Wherein, the DC analog power supply is connected with the IO board, the control power supply is connected with 220V AC through the 220V power connection port 1, and the control power supply is connected with the DC analog power supply, the main control board, and the CAN communication module.
[0024] Wherein, the main control board comprises a signal acquisition module, the signal acquisition module comprises a plurality of analog input terminals, and each analog quantity is input through the machine side current port 2, the grid side current port 3, the bus voltage sampling port 5, the grid voltage sampling port 6, and the stator voltage sampling port 7 input terminal, and the feedback data and temperature data are collected through the IO data board; and the data acquisition unit processes and integrates the data.
[0025] Wherein, the IO board comprises an analog signal module, the analog signal module comprises a plurality of analog output terminals, and each analog quantity is output through the contactor feedback interface 10, the encoder interface 11, the first IO feedback interface 12, the second IO feedback interface 13, and the NTC temperature feedback interface 14 output terminal.
[0026] Wherein, the analog signal module comprises one or more of the following circuits: a resistance circuit for simulating a temperature signal, a speed detection circuit for simulating a motor speed signal, a voltage detection circuit for simulating a machine grid side voltage, and a current detection circuit for simulating a machine grid side current.
[0027] Wherein, the CPU is a logic circuit of a DSP chip and an FPGA.
[0028] Wherein, the upper computer is connected with the monitoring interface 9.
[0029] The CAN communication device is a CAN communication to Ethernet module.
[0030] The direct current analog power supply supplies power for the IO board of the tester device.
[0031] The control power supply supplies power for the whole internal part of the tester device.
[0032] The main control board includes relevant fault logic judgment, fault download logic judgment, a data acquisition module and a communication module.
[0033] The CPU is used for control logic storage and execution.
[0034] The IO board includes a feedback data acquisition unit and a temperature acquisition module.
[0035] The CAN communication device includes a CAN to Ethernet module and is used for communication with the upper computer.
[0036] The upper computer includes an oscilloscope function and a fault data download function.
[0037] Further, the direct current analog power supply is a 24V direct current power supply, which is connected with the IO board and separately supplies power for the IO board.
[0038] Further, the control power supply is connected with 220V alternating current, which is connected with the direct current power supply, the main control board and the CAN communication module and provides power for the direct current power supply, the main control board and the CAN communication module.
[0039] Further, the CPU is a logic circuit of DSP and FPGA, which is used for storing fault judgment download, communication and other control logics.
[0040] Further, the upper computer includes a fault signal download function and a signal oscilloscope function.
[0041] On the other hand, a relevant fault trigger and fault data download module is constructed, and the fault data is downloaded and visualized through the fan fault trigger signal, the data acquisition signal, the communication module and the upper computer system.
[0042] Embodiment 2
[0043] The device has 14 ports in total, as shown in the figure, and the input and output ports of the tester are as follows: Figure 1
[0044] 1. 220V power supply connection port, 2. Machine-side current port, 3. Grid-side current port, 4. Reserved current port, 5. Bus voltage sampling port, 6. Grid voltage sampling port, 7. Stator voltage sampling port, 8. Switch, 9. Monitoring interface, 10. Contactor feedback interface, 11. Encoder interface, 12. First IO feedback interface, 13. Second IO feedback interface, 14. NTC temperature feedback interface.
[0045] like Figure 2 As shown, at least one embodiment provides an auxiliary converter fault detection method. The device of this utility model includes the following steps:
[0046] Construct hardware connection circuits;
[0047] Collect relevant grid voltage and current data and data from relevant electrical circuit feedback points before and after the converter fault, and process the data;
[0048] Download the corresponding fault data based on the fault feedback information of the electrical circuit, store the judgment results in the flash database, and judge the detailed fault data of the converter fault point based on the data;
[0049] This method enables the processing of analog signals such as current and voltage through filters, thereby quantifying voltage and current signals more intuitively. This makes the auxiliary converter fault detection equipment more applicable, robust, highly intelligent, and convenient to use.
[0050] The hardware components of this auxiliary converter fault detection method may include: a detection circuit, a sampling circuit, a CAN communication module, and a CAN-to-Ethernet module; the software components may include: data processing software, a fault detection algorithm, and user interaction software; the user interaction software can quickly download relevant fault information and view data waveforms; through the cooperation of hardware and software, converter faults can be detected quickly and timely, improving the efficiency and speed of fault detection.
[0051] The usage process of this utility model equipment is as follows:
[0052] 1. Connect 220V to port 1 to provide power to the device;
[0053] 2. Connect port 9 to the host computer for data transmission and real-time display;
[0054] Connect ports 2, 3, 5, 6, and 7 of the detection equipment to the converter's machine-side current, grid-side current, bus voltage, grid voltage, stator voltage, etc.
[0055] 3. Connect port 10 to the stator contactor and the grid-side contactor; connect port 11 to the encoder.
[0056] 4. The ports 12, 13 and 14 are connected to the IO feedback interface and the IO temperature acquisition interface, respectively;
[0057] 5. The switch is opened, and the fault interval data is automatically downloaded when the fan fails.
[0058] The equipment operation principle of the utility model is as follows:
[0059] When the converter is running in real time, the detection equipment synchronously detects the power grid voltage, current and other data, and detects and collects through the detection circuit, and the IO feedback data module is transported to the CPU part through the CAN communication module.
[0060] The data processing mainly filters the detected voltage and current of the power grid.
[0061] The fault detection takes the safety chain as the fault feedback signal, and when a fault occurs, the relevant information data after data processing and the detection download data of the corresponding fault detection algorithm are stored synchronously.
[0062] The user interaction software is used for visualizing the relevant data after data processing and the relevant data after downloading and storing the fault detection.
[0063] The equipment data processing software of the utility model takes the filtering method as the core, filters the collected voltage and current signals. The method of fault detection is constructed: taking the safety chain as the fault feedback signal, when a fault occurs, the relevant information data after data processing and the detection download data of the corresponding fault detection algorithm are stored synchronously.
[0064] Specifically, as shown in Figure 3 The encoder acquisition module in the data acquisition unit is connected with the wind turbine encoder, and the speed and angle of the fan are acquired; the current and voltage acquisition module is connected with the power grid and the rotor side, respectively, and acquires 3-phase current and voltage; the IO board temperature acquisition unit in the processing unit is composed of 6 NTCs, which respectively acquire the temperatures of different point temperature sensors of the system; the IO board feedback and circuit are connected in parallel with each fault feedback point, and record the states of the relevant feedback points; the communication between the IO board and the main control board CAN in the processing unit is mainly carried out through the CAN communication module, the collected data are transmitted to the main control board through CAN_H connection CAN_H and CAN_L connection CAN_L, the main control board and the conversion module are connected through the CAN to Ethernet module, the conversion module is connected with the computer network port, and the relevant data are transmitted to the upper computer.
[0065] As shown in Figure 4As shown, the method for collecting operating parameters of the utility model equipment comprises: connecting the grid voltage and grid current with the detection circuit, detecting the collected data through the detection circuit; the collected operating data comprises: voltage and current; connecting the detection circuit to the AC side of the mobile detector for measuring the voltage and current of the AC side. Connect the relevant electrical feedback points with the IO board data collection feedback module, collect the relevant feedback state, the electrical feedback point is the node of the related fault trigger in the electrical circuit; trigger the fault trigger module through the safety chain, and download the fault. It should be noted that the auxiliary mobile monitoring equipment used in this embodiment is applied to AC / DC occasions. That is, the auxiliary mobile monitoring equipment is connected to the power storage system on the DC side, and the AC / DC side is connected to the three-phase power grid through an LC or LCL filter. The detection circuit detects the operating data, and the data processing software processes the detected data, and when the fault detection algorithm is triggered, the data is sent to the upper computer part through the CAN to Ethernet communication module for writing and reading the data.
[0066] The method for storing fault data when the utility model equipment judges the fault comprises: when the safety chain is disconnected, the equipment alarm indicator light enters the flashing red state and enters the data download prompt; the data writing and reading software writes the detected data into the flash database.
[0067] The flash database comprises: a fault database and a detection database; the detection database stores the operating data and IO feedback data collected by all auxiliary converter fault detection equipment; the fault database stores the fault area corresponding to the collected data downloaded by the corresponding auxiliary converter fault detection equipment; through the fault database and the detection database, more standard and complete data can be collected, and the fault data waveform can be highlighted more flexibly.
[0068] As Figure 5 shown, the related data waveform collected by the utility model equipment is displayed in real time by the upper computer, which provides intuition for data analysis.
[0069] In summary, the utility model constructs a fault detection model, triggers a fault download module through a fault state, collects the operating data of the converter, processes the operating data, judges whether there is a fault according to the safety chain feedback, stores the judgment result, downloads the fault data when the fault is judged, processes the converter fault through detailed fault data, and makes the detection of the auxiliary converter fault detection equipment applicable, robust, highly intelligent, and convenient to use.
[0070] The above merely is the preferred implementation manner of the present application, and it should be noted that, for the ordinary skilled in the art, without departing from the technical principles of the present application, a number of improvements and modifications can be made, and these improvements and modifications should also be considered as the protection scope of the present application.
Claims
1. An apparatus suitable for assisting in converter fault detection, characterized by, It comprises a DC analog power supply for powering the IO board of the tester device, a control power supply for powering the entire internal part of the tester device, a main control board, a CPU, an IO board, CAN communication equipment, and a host computer. The DC analog power supply is connected with the IO board, the control power supply is connected with 220V AC power through a 220V power supply connection port (1), and the control power supply is connected with the DC analog power supply, the main control board, and the CAN communication module.
2. The device suitable for assisting in converter fault detection according to claim 1, characterized in that, The main control board comprises a signal acquisition module, the signal acquisition module comprises a plurality of analog input ends, and each analog quantity is input through a machine-side current port (2), a grid-side current port (3), a bus voltage sampling port (5), a power grid voltage sampling port (6), and a stator voltage sampling port (7).
3. The device suitable for assisting in converter fault detection according to claim 2, characterized in that, The IO board comprises an analog signal module, the analog signal module comprises a plurality of analog output ends, and each analog quantity is output through a contactor feedback interface (10), an encoder interface (11), a first IO feedback interface (12), a second IO feedback interface (13), and an NTC temperature feedback interface (14).
4. The apparatus suitable for assisting in converter fault detection according to claim 3, characterized in that, The analog signal module comprises one or more of the following circuits: a resistance circuit for simulating a temperature signal, a rotating speed detection circuit for simulating a motor speed signal, a voltage detection circuit for simulating a machine-grid-side voltage, and a current detection circuit for simulating a machine-grid-side current.
5. The device suitable for assisting in converter fault detection according to claim 4, characterized in that, The CPU is a logic circuit of a DSP chip and an FPGA.
6. The apparatus suitable for assisting fault detection of a current transformer according to claim 4, characterized in that, The host computer is connected with a monitoring interface (9).
7. The device suitable for assisting in converter fault detection according to claim 6, characterized in that, The CAN communication equipment is a CAN communication-to-Ethernet module.
8. The device suitable for assisting in converter fault detection according to claim 7, characterized in that,
Citation Information
Patent Citations
Wind generating set converter intelligence fault detection device
CN207502683U