A wind power blade health detection system

Abstract

The utility model discloses a kind of wind power blade health degree detection systems, and the wind power blade health degree detection system is connected with wind farm SCADA system.The wind power blade health degree detection system includes CAN transceiver module circuit, microcontroller and wireless communication circuit.The CAN transceiver module circuit is connected with wind farm SCADA system, and CAN transceiver module circuit receives data information from wind farm SCADA system.The microcontroller is connected with the CAN transceiver module circuit, and the microcontroller is configured as according to data information output alarm signal.The wireless communication circuit is connected with the microcontroller, and the microcontroller is configured to carry out remote communication by wireless communication circuit.The utility model realizes efficient monitoring using existing SCADA system data, and does not need to additionally arrange sensor and other equipment in the blade of fan unit.

Description

Technical Field

[0001] This utility model relates to the field of wind turbine blade testing technology, and in particular to a wind turbine blade health testing system. Background Technology

[0002] Wind power is a renewable and green energy source that the country strongly promotes for development. In wind turbine units, the blades are one of the core components, and their safety and reliability directly determine the operational stability of the entire unit. However, wind farms currently lack monitoring equipment hardware for the blades, which poses a potential threat to the safe operation of wind turbine units.

[0003] Chinese utility model patent CN213511045U discloses a wind turbine blade health status monitoring system. The system includes multiple vibration sensors, an online monitoring station, a communication module, a ring network switch, and a central control room server. Each vibration sensor is connected to the online monitoring station, and the vibration sensor is bolted to a fixed base. The vibration sensor is connected to the blade through the fixed base. The online monitoring station is connected to the ring network switch through the communication module, and the ring network switch is connected to the central control room server.

[0004] The aforementioned monitoring system requires manual installation of vibration sensors on the blades, increasing personnel safety risks and potentially damaging the blades if installed improperly. Furthermore, subsequent maintenance is cumbersome. Therefore, there is a need for new detection equipment. Utility Model Content

[0005] To address the technical problems existing in the prior art, the purpose of this utility model is to provide a wind turbine blade health detection system. This utility model utilizes data information from the wind farm SCADA system, uses a microcontroller to output alarm signals based on the data information, and further transmits the alarm signals via a wireless communication circuit.

[0006] The objective of this utility model is achieved through the following technical solution:

[0007] This utility model provides a wind turbine blade health detection system, which is connected to the wind farm SCADA system. The wind turbine blade health detection system includes:

[0008] A CAN transceiver module circuit is connected to the wind farm SCADA system, and the CAN transceiver module circuit receives data information from the wind farm SCADA system.

[0009] A microcontroller, which is connected to the CAN transceiver module circuit, is configured to output an alarm signal based on data information;

[0010] A wireless communication circuit is connected to the microcontroller, which is configured to communicate remotely via the wireless communication circuit.

[0011] In a preferred embodiment, the microcontroller is an STM32F103 microcontroller.

[0012] In a preferred embodiment, the CAN transceiver module circuit includes a CAN transceiver and a common-mode inductor L1, wherein the CAN transceiver is connected to the microcontroller; and the common-mode inductor L1 is connected to the CANL interface and CANH interface of the CAN transceiver, respectively.

[0013] In a preferred embodiment, the CAN transceiver is a TJA1050 chip.

[0014] In a preferred embodiment, the wireless communication circuit is a 5G wireless communication circuit.

[0015] In a preferred embodiment, the wireless communication circuit includes a Shengke A5130 chip, which is connected to a microcontroller via an SPI interface.

[0016] In a preferred embodiment, the wind turbine blade health detection system includes a power module, which is connected to a CAN transceiver module circuit, a microcontroller, and a wireless communication circuit.

[0017] In a preferred embodiment, the power module includes a 78M05 voltage regulator and an ASM1117 voltage regulator, the 78M05 voltage regulator being connected to an external power supply and configured to output a 5V DC voltage.

[0018] The ASM1117 regulator is connected to the 78M05 regulator, and the ASM1117 regulator is configured to output a stable 3.3V DC voltage from a 5V DC voltage.

[0019] Compared with the prior art, the present invention has at least the following beneficial effects:

[0020] This invention provides a wind turbine blade health detection system, which is connected to a wind farm SCADA system. The system includes a CAN transceiver module circuit, a microcontroller, and a wireless communication circuit. The CAN transceiver module circuit receives data from the wind farm SCADA system. The microcontroller is connected to the CAN transceiver module circuit and is configured to output alarm signals based on the data. The wireless communication circuit is connected to the microcontroller, and the microcontroller is configured to communicate remotely via the wireless communication circuit.

[0021] This invention eliminates the need for additional sensors and other equipment on the wind turbine blades, thus avoiding operational burdens and damage. It also avoids many drawbacks of traditional monitoring methods, achieving efficient monitoring using existing SCADA system data. This invention utilizes data from the wind farm's SCADA system, employing a microcontroller to output alarm signals based on the data. These alarm signals are then transmitted to the cloud via wireless communication circuitry, allowing the central control room to retrieve and access the blade alarm signals from the cloud. Attached Figure Description

[0022] Figure 1 This is a system architecture diagram of a wind turbine blade health detection system according to the present invention;

[0023] Figure 2 This is a pin diagram of the STM32F103C8T6 of this utility model;

[0024] Figure 3 This is a circuit topology diagram of the CAN transceiver module circuit of this utility model;

[0025] Figure 4 This is a circuit topology diagram of the wireless communication circuit of this utility model;

[0026] Figure 5 This is a circuit topology diagram of the power supply module of this utility model.

[0027] In the picture:

[0028] 1-Wind turbine blade health monitoring system, 101-Power module, 102-Micro controller, 103-Wireless communication circuit, 104-Wind farm SCADA system;

[0029] 2-Cloud database;

[0030] 3-Central Control Room. Detailed Implementation

[0031] To facilitate understanding of this utility model, the technical solutions and advantages of the utility model will be further described in detail below with reference to the accompanying drawings and embodiments. Any mechanisms or methods not elaborated in this utility model can be referred to in the prior art. The specific structure and features of this utility model are illustrated below by way of example and should not constitute any limitation on this utility model. Furthermore, any technical feature mentioned below (including implicit or disclosed features), as well as any technical feature directly shown or implied in the figures, can be arbitrarily combined or deleted among these technical features to form more other embodiments that may not be directly or indirectly mentioned in this utility model. The accompanying drawings show preferred embodiments of this utility model. However, this utility model can be implemented in many different forms and is not limited to the embodiments described herein. Rather, these embodiments are provided to provide a more thorough and complete understanding of the disclosure of this utility model.

[0032] like Figure 1-5 As shown in this embodiment, a preferred implementation of a wind turbine blade health detection system is presented.

[0033] like Figure 1 As shown, this utility model provides a wind turbine blade health detection system 1, which is connected to a wind farm SCADA system 104. The wind turbine blade health detection system 1 includes a CAN transceiver module circuit, a microcontroller 102, and a wireless communication circuit 103. The CAN transceiver module circuit is connected to the wind farm SCADA system 104 and receives data information from the wind farm SCADA system 104. The microcontroller 102 is connected to the CAN transceiver module circuit and is configured to output alarm signals based on the data information. The wireless communication circuit 103 is connected to the microcontroller 102 and is configured to perform remote communication via the wireless communication circuit 103.

[0034] This wind turbine blade health monitoring system connects to the wind farm's SCADA system via a CAN transceiver module to receive its data. A microcontroller 102 calculates the data to determine the blade's health status and outputs alarm signals. A wireless communication circuit 103 enables remote communication, transmitting the analysis results and alarm signals to the central control room. This invention eliminates the need for additional sensors or other equipment on the wind turbine blades, avoiding operational burdens and damage, and eliminating many drawbacks of traditional monitoring methods. It achieves efficient monitoring using existing SCADA system data. This invention utilizes only data from the wind farm's SCADA system, with the microcontroller outputting alarm signals based on the data, and further uploading the alarm signals to the cloud via wireless communication. The central control room can then retrieve and access the blade alarm signals from the cloud.

[0035] In a specific implementation, such as Figure 2 As shown, the microcontroller 102 is an STM32F103 microcontroller. The high-performance processor of the STM32F103 can quickly process large amounts of data received from the CAN transceiver module circuit, ensuring the system can perform real-time database calculations. This effectively avoids missed fault reports caused by data processing delays. The STM32F103's low-power design and multiple low-power modes enable it to operate stably for extended periods in complex environments such as wind farms. Furthermore, its built-in protection mechanisms (such as watchdog timers and voltage monitoring) further improve system reliability and reduce system failures caused by hardware malfunctions.

[0036] In a specific implementation, such as Figure 3 As shown, the CAN transceiver module circuit includes a CAN transceiver and a common-mode inductor L1. The CAN transceiver is connected to the microcontroller; the common-mode inductor L1 is connected to both the CANL and CANH interfaces of the CAN transceiver. The CAN transceiver is a TJA1050 chip.

[0037] In this technology, the selected TJA1050 chip has two operating modes: high-speed mode and silent mode, which can be selected as needed. To enter high-speed mode, simply ground the "S" pin. Even without grounding, the TJA1050 chip will automatically enter high-speed mode because this pin has a pre-installed pull-down resistor.

[0038] The TJA1050 chip enters silent mode. In silent mode, the transceiver cannot send data, only receive data, and is therefore in a non-transmitting state. The power supply current requirement is the same as in silent mode. This method avoids continuous data transmission to the CAN bus in the event of a fault, thus preventing congestion. Common-mode inductor L1 is used to suppress common-mode noise and protect the CAN bus.

[0039] In a specific implementation, such as Figure 4 As shown, the wireless communication circuit 103 is a 5G wireless communication circuit. The wireless communication circuit includes a Shengke A5130 chip, which is connected to the microcontroller via an SPI interface.

[0040] 5G networks offer higher reliability and interference resistance, enabling stable operation in complex industrial environments. Compared to traditional 4G or Wi-Fi networks, 5G networks are better able to cope with the harsh environment of wind farms, ensuring stable data transmission. The Shengke A5130 is a high-performance 5G wireless communication chip designed for IoT and industrial applications. It supports the 5G NR (New Radio) standard, providing high-speed, low-latency data transmission, suitable for scenarios requiring real-time data transmission and remote monitoring. The A5130 chip supports 5G networks, providing data transmission rates up to several Gbps, ensuring that wind turbine blade health status data can be transmitted quickly and stably to remote monitoring centers. This is crucial for real-time monitoring and rapid response to blade failures.

[0041] like Figure 5 As shown, the wind turbine blade health monitoring system includes a power supply module 101, which is connected to a CAN transceiver module circuit, a microcontroller, and a wireless communication circuit. The power supply module 101 includes a 78M05 voltage regulator and an ASM1117 voltage regulator. The 78M05 voltage regulator is connected to an external power supply and is configured to output a 5V DC voltage. The ASM1117 voltage regulator is connected to the 78M05 voltage regulator and is configured to stably output a 3.3V DC voltage from the 5V DC voltage.

[0042] The power supply module is one of the core components of the wind turbine blade health monitoring system. Its main function is to provide a stable and reliable power supply for various modules in the system (such as the CAN transceiver module circuit, microcontroller, wireless communication circuit, etc.).

[0043] The power supply module 101 consists of two parts: a 78M05 voltage regulator and an ASM1117 voltage regulator. The 78M05 voltage regulator connects to an external power supply and converts it into a stable 5V DC voltage. The ASM1117 voltage regulator connects to the 78M05 voltage regulator and further converts the 5V DC voltage to 3.3V DC voltage to meet the 3.3V power requirements of various functional modules in the system (such as the STM32F103 microcontroller and the A5130 wireless communication chip).

[0044] The above embodiments are merely preferred embodiments of the present utility model and should not be construed as limiting the scope of protection of the present utility model. For those skilled in the art, it will be understood that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present utility model. The scope of the present utility model is defined by the appended claims and their equivalents.

Claims

1. A wind turbine blade health detection system, wherein the wind turbine blade health detection system is connected to a wind farm SCADA system, characterized in that, The wind turbine blade health detection system includes: A CAN transceiver module circuit is provided, which is connected to the wind farm SCADA system and receives data information from the wind farm SCADA system. The CAN transceiver module circuit includes a CAN transceiver and a common-mode inductor L1. The CAN transceiver is connected to a microcontroller. The common-mode inductor L1 is connected to the CANL interface and CANH interface of the CAN transceiver, respectively. A microcontroller, which is connected to the CAN transceiver module circuit, is an STM32F103 microcontroller and is configured to output an alarm signal based on data information. A wireless communication circuit is connected to the microcontroller, which is configured to communicate remotely via the wireless communication circuit.

2. The wind turbine blade health detection system as described in claim 1, characterized in that: The CAN transceiver is a TJA1050 chip.

3. The wind turbine blade health detection system as described in claim 1, characterized in that: The wireless communication circuit is a 5G wireless communication circuit.

4. The wind turbine blade health detection system as described in claim 3, characterized in that: The wireless communication circuit includes a Shengke A5130 chip, which is connected to the microcontroller via an SPI interface.

5. The wind turbine blade health detection system as described in claim 1, characterized in that: The wind turbine blade health detection system includes a power module, which is connected to a CAN transceiver module circuit, a microcontroller, and a wireless communication circuit.

6. The wind turbine blade health detection system as described in claim 5, characterized in that: The power module includes a 78M05 voltage regulator and an ASM1117 voltage regulator. The 78M05 voltage regulator is connected to an external power supply and is configured to output a 5V DC voltage. The ASM1117 regulator is connected to the 78M05 regulator, and the ASM1117 regulator is configured to output a stable 3.3V DC voltage from a 5V DC voltage.

Images