Real-time intelligent monitoring system for power loop of wind generating set based on Internet of Things

Abstract

The invention relates to the technical field of wind power generation equipment monitoring, in particular to a wind generating set power loop real-time intelligent monitoring system based on the internet of things, which comprises a fluorescent optical fiber temperature measurement sensor, a fluorescent optical fiber temperature measurement transmitter, a thermal imaging double-spectrum network camera, a data acquisition unit, a communication network, a monitoring center and a user interface. According to the wind generating set power loop real-time intelligent monitoring system based on the Internet of Things, fluorescent temperature measurement optical fibers are additionally arranged at key positions such as a generator stator outgoing line copper bar and a cable twisting platform conductor rail junction box copper bar, the temperature of a power loop connector can be obtained in real time, and meanwhile thermal imaging double-spectrum network cameras are additionally arranged on all cabinet bodies; continuous monitoring of key parameters such as temperature and smoke sensing in the cabinet is realized, monitoring blind areas are thoroughly eliminated, and the problem that hidden dangers of cable joints cannot be found in time in the prior art is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of wind power generation equipment monitoring, and in particular to a real-time intelligent monitoring system for a power circuit of a wind generator set based on the Internet of Things. Background Art

[0002] The power output circuit of a wind turbine typically consists of a circuit breaker cabinet installed in the nacelle, segmented power output cables laid inside the wind turbine tower, and copper busbars connecting these segmented cables within the tower, the generator-side power cabinet, and the grid-side power cabinet. This power output circuit has numerous cable and busbar connection points. During wind turbine operation, heat accumulates in the power output circuit due to resistance, especially at cable and busbar connection points. These points have high contact resistance and generate more heat, accelerating aging and potentially causing sparks, short circuits, and, in severe cases, turbine burnout. Sparks and short circuits in the power output circuit can also cause nearby temperatures to rise. By monitoring the temperature of these power output circuit connection points in real time and providing early warnings for units exceeding set temperatures, operations and maintenance personnel can be notified of abnormal conditions promptly, allowing them to intervene and avoid costly accidents.

[0003] Traditional manual inspections to monitor connection point temperatures are costly, lack continuous monitoring, and are ineffective. Some temperature monitoring methods using temperature control switches cannot obtain real-time temperatures, let alone reflect temperature trends. Therefore, achieving real-time monitoring and early warning of wind turbine power output circuit temperatures is of great significance. Currently, the wind turbine main control system only monitors the generator winding temperature, converter temperature, control cabinet temperature, and power cabinet temperature. It is unable to monitor the real-time temperature of the primary power circuit, such as the generator output line, converter connection point, and grid-side circuit breaker connection point. This results in blind spots in monitoring, making it impossible to promptly detect hidden dangers in cable joints, which can lead to fires. Summary of the Invention

[0004] The purpose of the present invention is to provide a real-time intelligent monitoring system for the power circuit of a wind turbine generator set based on the Internet of Things to solve the problems raised in the above background technology.

[0005] To achieve the above-mentioned object, the present invention provides the following technical solution: a real-time intelligent monitoring system for the power circuit of a wind turbine generator set based on the Internet of Things, comprising a fluorescent fiber optic temperature sensor, a fluorescent fiber optic temperature transmitter, a thermal imaging dual-spectrum network camera, a data acquisition unit, a communication network, a monitoring center, and a user interface;

[0006] The fluorescent fiber optic temperature sensor is used to measure the temperature of the power circuit copper busbar in real time. The fluorescent fiber optic temperature transmitter is used to receive and analyze the optical signal transmitted by the fluorescent fiber optic temperature sensor and transmit the temperature signal to the Internet of Things gateway. The thermal imaging dual-spectrum network camera is used to monitor the temperature signal and smoke signal in the cabinet in real time and transmit the video data to the Internet of Things gateway. The data acquisition unit is used to collect data and transmit it to the communication network. The communication network is used to transmit the data to the monitoring center. The monitoring center is used to process and analyze the data and issue an alarm. The user interface is used to display real-time data and related information of the equipment.

[0007] Preferably, the measurement range of the fluorescent fiber optic temperature sensor is -40°C to 200.0°C, the measurement accuracy is ±1°C, and the resolution is 0.1°C. The fiber optic probe consists of an ST connector, an optical fiber cable, and an end temperature sensing end; the ST connector is used to connect to the optoelectronic module, and the optical fiber cable is used to transmit light. The interior is a quartz optical fiber, and the exterior has a coating layer, a cladding, and a Teflon protective cover in sequence. The end temperature sensing end contains a temperature-sensitive rare earth material.

[0008] Preferably, the fluorescent fiber optic temperature sensor is installed on the copper busbar between the circuit breaker on the generator side of the wind turbine cabin and the input and output cables, the copper busbar between the twisted cable platform conductive rail wiring cabinet and the input cable, the copper busbar between the generator side power cabinet reactor and the incoming cable, and the copper busbar between the grid side power incoming cabinet reactor and the output cable.

[0009] Preferably, the operating voltage of the fluorescent fiber optic temperature transmitter is DC24V, the ambient temperature is -20℃~+55℃, the ambient humidity is ≤95%, and the communication mode is RS485 interface and Modbus communication interface. It transmits the temperature signal to the Internet of Things gateway through the RS485 interface according to the ModbusRTU communication protocol.

[0010] Preferably, the thermal imaging dual-spectrum network camera has an automatic temperature measurement function and a smoke and fire detection function; the automatic temperature measurement function realizes temperature measurement and alarm by setting temperature measurement parameters or rules, and superimposes and displays temperature data on the thermal imaging channel; the smoke and fire detection function displays the screen, links the alarm and uploads the alarm information according to the configuration strategy after a fire point or smoke is found.

[0011] Preferably, the thermal imaging dual-spectrum network camera is installed above the generator side circuit breaker cabinet, the conductor rail wiring cabinet, the generator side power cabinet, and the grid side power cabinet, and is connected to the Internet of Things controller via the RJ45 network port via the switch to transmit the video data to the Internet of Things gateway; when the alarm is triggered, the alarm information is output to the Internet of Things gateway DI module, and the picture is obtained by capturing or event linkage and uploaded to the Internet of Things background storage.

[0012] Preferably, the data acquisition unit adopts the USR-M300 IoT controller of UCloud, which adopts the Linux kernel, the main frequency is 1.2Ghz, the network is WAN / LAN plus 4G cellular design, and the hardware integrates 2-channel DI, 2-channel DO, 2-channel AI and 2-channel RS485; it has data edge acquisition, calculation, active reporting, data reading and writing, linkage control, IO acquisition and control functions, supports standard Modbus protocol, multiple PLC protocols and ModbusRTU / ICP, OPCUA protocol conversion, and supports access to UCloud, Alibaba Cloud, AWS, Huawei Cloud and other platforms.

[0013] Preferably, the monitoring center includes an overview of information such as maps, equipment statistics, organization lists, scene statistics, data storage statistics, and alarm statistics. Equipment distribution and information can be viewed through maps, and the health status of the power circuit can be judged and an alarm can be issued through a preset algorithm.

[0014] Compared with the prior art, the present invention has the following beneficial effects:

[0015] 1. This IoT-based real-time intelligent monitoring system for the wind turbine power circuit acquires the power circuit joint temperature in real time by installing fluorescent temperature-measuring optical fibers at key locations, such as the generator stator lead-out copper busbar and the twisted cable platform conductor rail junction box copper busbar. Thermal imaging dual-spectrum network cameras are also installed in each cabinet to continuously monitor key parameters such as cabinet temperature and smoke detection, completely eliminating monitoring blind spots and resolving the existing problem of the inability to promptly detect hidden dangers in cable joints.

[0016] 2. This IoT-based real-time intelligent monitoring system for the wind turbine power circuit uses a thermal imaging dual-spectrum network camera with a fire and smoke detection function. When the device finds a fire point or detects smoke, it can display the image, trigger an alarm, and upload the alarm information according to the configured strategy. Combined with the temperature monitoring data of the fluorescent temperature measurement fiber, it can more intuitively determine whether a fire has occurred, significantly improving the ability to detect fires in the early stages, effectively preventing power circuit fires caused by loose connectors, and ensuring the safe operation of the wind turbine.

[0017] 3. This IoT-based real-time intelligent monitoring system for the wind turbine power circuit uses quartz fiber as its fluorescent temperature measurement optical fiber, which is highly immune to electromagnetic interference and has excellent corrosion resistance and high temperature resistance. It is suitable for harsh temperature measurement environments such as high voltage, strong magnetic fields, and flammable and explosive materials. Compared with traditional temperature sensors and platinum resistance sensors, it can operate more stably in the complex electromagnetic environment of wind turbines, ensuring the accuracy and reliability of temperature monitoring data. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0019] Figure 1 This is an architecture diagram of the real-time intelligent monitoring system for the power circuit of a wind turbine generator set based on the Internet of Things of the present invention. DETAILED DESCRIPTION

[0020] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0021] See also Figure 1 The present invention provides a technical solution: a real-time intelligent monitoring system for the power circuit of a wind turbine generator set based on the Internet of Things, including a fluorescent fiber optic temperature sensor, a fluorescent fiber optic temperature transmitter, a thermal imaging dual-spectrum network camera, a data acquisition unit, a communication network, a monitoring center, and a user interface, as follows:

[0022] Fluorescence fiber optic temperature sensor: With a measurement range of -40°C to 200°C, accuracy of ±1°C, and a resolution of 0.1°C, the sensor uses quartz fiber. The fiber optic probe consists of an ST connector, a fiber optic cable, and a temperature-sensing terminal. The ST connector connects to the optoelectronic module; the fiber optic cable transmits light and is made of quartz fiber. The quartz fiber is coated and clad, and protected by a Teflon sheath. The temperature-sensing terminal contains a rare earth material that generates an optical signal containing temperature information. This sensor is highly immune to electromagnetic interference, measures temperature at a single point, and provides a digital signal output. It is suitable for measuring temperature in confined spaces and is suitable for measuring temperature in high voltage, strong magnetic fields, and flammable and explosive environments. Installed on the copper busbar between the circuit breaker on the generator side of the wind turbine nacelle and the input and output cables, on the copper busbar between the twisted cable platform conductor rail wiring cabinet and the input cable, on the copper busbar between the generator side power cabinet reactor and the incoming cable, and on the copper busbar between the grid side power incoming cabinet reactor and the output cable, it measures the temperature of the copper busbar in real time.

[0023] Fluorescent fiber optic temperature transmitter: Operating voltage: 24V DC, ambient temperature: -20°C to +55°C, humidity: ≤95%, communication: RS485 and Modbus. It receives and analyzes the optical signal containing temperature information transmitted by the fluorescent fiber, and transmits the temperature signal to the IoT gateway via the RS485 interface according to the Modbus RTU protocol.

[0024] Thermal imaging dual-spectrum network cameras: These cameras feature automatic temperature measurement. By configuring temperature measurement parameters or temperature measurement rules, they automatically measure and alarm when a target meets these parameters or triggers a temperature measurement rule. Highest, lowest, or average temperature data is displayed overlaid on the thermal imaging channel. They also feature fire and smoke detection. When the device detects a fire or smoke, it displays the image, triggers an alarm, and uploads the alarm information based on the configured strategy. Installed above the generator-side circuit breaker cabinet, conductor rail wiring cabinet, generator-side power cabinet, and grid-side power cabinet, these cameras monitor temperature and fire signals in real time, aggregate them via an RJ45 network port to a switch, which then connects to an IoT controller, transmitting real-time conventional and infrared video data to the IoT gateway. When an alarm is triggered, the alarm information is output from the connected alarm output device to the IoT gateway DI module. Images can be captured through screenshots or event-based triggering and uploaded to designated IoT backend storage.

[0025] Data acquisition unit: Utilizes the UCloud USR-M300 IoT controller, which uses a Linux kernel and boasts a main frequency of up to 1.2 GHz. The network utilizes a WAN / LAN plus 4G cellular design, making uplink transmission more reliable. The LAN port can also be connected to external devices such as cameras, enabling functional applications when combined with its own routing capabilities. The hardware integrates two DI, two DO, two AI, and two RS485 channels, meeting not only industrial field control and acquisition requirements but also enabling linkage control based on data or status at various acquisition points. It features edge data acquisition, calculation, active reporting, data reading and writing, linkage control, I / O acquisition, and control. The acquisition protocol includes standard Modbus and several common PLC protocols. It supports Modbus RTU / ICP and OPCUA protocol conversion, and supports rapid access to common platforms such as UCloud, Alibaba Cloud, AWS, and Huawei Cloud.

[0026] Communication network: The collected data is transmitted to the monitoring center. The IoT controller supports cellular network and transmits the collected data to the cloud background through the built-in SIM card via the China Telecom / China Mobile / China Unicom network.

[0027] Monitoring Center: This system provides an overview of information, including maps, device statistics, organization lists, scenario statistics, data storage statistics, and alarm statistics. Device distribution and information can be viewed on the map. The system processes and analyzes collected data, uses pre-set algorithms to determine the health of the power circuit, and issues alarms when anomalies are detected.

[0028] User interface: displays real-time data of the device, displays detailed information of the device, and allows viewing of device configuration, video monitoring, real-time data, real-time alarms, historical data and other information.

[0029] The fluorescent fiber optic temperature sensor is installed in the wind turbine nacelle and is installed at the following copper busbar positions:

[0030] Copper busbar between the generator side circuit breaker and the input and output cables (ABC three-phase);

[0031] Copper busbar between the twisted cable platform conductor rail junction cabinet and the input cable (ABC three-phase);

[0032] Copper busbar between the reactor of the power cabinet on the generator side and the incoming cable (ABC three-phase);

[0033] Copper busbar (ABC three-phase) between the reactor of the power incoming cabinet on the grid side and the output cable.

[0034] The sensor's fiber optic probe consists of an ST connector, a fiber optic cable, and a temperature-sensing terminal. The ST connector connects to the optoelectronic module. The fiber optic cable is internally made of quartz fiber, and externally comprises a coating, cladding, and Teflon protective sleeve. The temperature-sensing terminal contains a temperature-sensitive rare earth material that generates an optical signal carrying temperature information.

[0035] The measuring range is -40℃~200.0℃, the measuring accuracy is ±1℃, and the resolution is 0.1℃. It is suitable for harsh environments such as high voltage, strong magnetic field, flammable and explosive materials.

[0036] Installation location for the fluorescent fiber optic temperature transmitter: Typically, it should be installed in a control cabinet or equipment room near the fluorescent fiber optic temperature sensor to facilitate receiving the optical signal. The operating voltage is 24V DC, and the operating temperature is -20°C to +55°C, with a humidity of ≤95%.

[0037] It is connected to the fluorescent fiber optic temperature sensor through the RS485 interface, receives the optical signal and analyzes it into temperature data, and then transmits the data to the Internet of Things gateway according to the Modbus RTU communication protocol.

[0038] Thermal imaging dual-spectrum network cameras are installed centered above the generator-side circuit breaker cabinet, conductor rail wiring cabinet, generator-side power cabinet, and grid-side power cabinet to ensure comprehensive coverage of key cabinet components. By setting temperature measurement parameters (such as temperature thresholds and measurement areas) or temperature measurement rules (such as temperature rise rate), automatic temperature measurement and alarms are automatically initiated when the target temperature meets the parameters or triggers the rule. The thermal imaging channel overlays and displays the maximum, minimum, or average temperature data.

[0039] Equipped with fire and smoke detection, the device displays images, triggers alarms (such as audible and visual alarms), and uploads alarm information when it detects fire or smoke. Connecting to a switch via an RJ45 network port, the switch then connects to an IoT controller, transmitting real-time video and infrared video data to an IoT gateway.

[0040] The data acquisition unit uses the UCloud USR-M300 IoT controller. It features a Linux kernel, a 1.2 GHz clock speed, and a WAN / LAN plus 4G cellular network design. It integrates two DI, two DO, two AI, and two RS485 interfaces. Installed in a control cabinet in the nacelle or tower, it connects to a switch via a LAN port for access to devices such as thermal imaging dual-spectrum network cameras. It also connects to devices such as fluorescent fiber temperature transmitters via an RS485 port.

[0041] The IoT controller uses the built-in SIM card and the 4G cellular network of China Telecom / China Mobile / China Unicom to transmit the collected data to the cloud background; sensors and transmitters, cameras and switches, switches and IoT controllers are connected through wired connections (such as RS485, RJ45), and the IoT controller and monitoring center are connected through a wireless cellular network.

[0042] The monitoring center is deployed in the wind farm operation and maintenance center or remote data center, and includes a server and monitoring software. It realizes functions such as map display (equipment distribution), equipment statistics, organization list, scene statistics, data storage statistics, and alarm statistics. It analyzes the health status of the power circuit through preset algorithms and issues alarms.

[0043] The user interface is based on the monitoring center software and can be accessed on a PC or mobile device. It is used to display real-time device data and detailed device information, and supports viewing device configuration, video monitoring, real-time data, real-time alarms, historical data, etc.

[0044] The fluorescent fiber optic temperature sensor senses the temperature of the copper busbar in real time. The temperature-sensitive rare earth material at the end of the temperature sensing end generates a specific light signal under the influence of temperature. The signal is transmitted to the ST connector through the optical fiber cable and then connected to the fluorescent fiber optic temperature transmitter.

[0045] The fluorescent fiber optic temperature transmitter receives the optical signal, parses the temperature information, and transmits the temperature data to the Internet of Things gateway (accessed by the data acquisition unit) through the RS485 interface according to the Modbus RTU communication protocol.

[0046] The thermal imaging dual-spectrum network camera collects ordinary images and infrared thermal imaging images inside the cabinet in real time and transmits them to the switch through the RJ45 network port.

[0047] The switch aggregates the video data and transmits it to the IoT controller, which then transmits it to the IoT gateway. The camera's built-in fire and smoke detection algorithm analyzes the image. When fire or smoke is detected, an alarm is triggered. This information is transmitted to the IoT gateway module via the alarm output device. Images are captured through snapshots or event-based events and uploaded to the IoT backend for storage.

[0048] The data acquisition unit (USR-M300 IoT controller) collects temperature data and video data through the RS485 interface and LAN port respectively, and uses its edge computing capabilities to perform preliminary data processing (such as data filtering and format conversion).

[0049] The processed data is transmitted to the user-friendly cloud backend via a 4G cellular network (with a built-in SIM card), where it is then received by the monitoring center server. The monitoring center stores and analyzes the data, using pre-set algorithms (such as temperature trend analysis and abnormal temperature pattern recognition) to determine the health of the power circuit. Alarms are generated when temperatures exceed thresholds, when abnormal temperature rises occur, or when pyrotechnic signals are detected.

[0050] Users access the monitoring center server through the user interface to view real-time device data (such as busbar temperatures, cabinet temperature distribution, and video footage). The interface supports filtering data by device type, location, and other dimensions, and can retrieve historical data for comparative analysis and review alarm records and processing status.

[0051] When the monitoring center issues an alarm, the user interface displays the alarm information (such as alarm location, type, and time) in real time, and can link to view related video images and temperature data to assist operation and maintenance personnel in making decisions. When the fluorescent fiber optic temperature sensor detects that the copper busbar temperature exceeds the preset threshold (such as 120°C) or the temperature rise rate exceeds the set value (such as 5°C / min), the fluorescent fiber optic temperature transmitter transmits the alarm signal to the IoT gateway; the IoT controller triggers the linkage control to send instructions to the thermal imaging dual-spectrum network camera, causing it to focus on the alarm area and strengthen temperature monitoring and image acquisition.

[0052] The control signal is output through the DO interface to start the cooling fan in the cabinet (if configured); the monitoring center generates an alarm message and notifies the operation and maintenance personnel through the user interface, SMS, etc. When the thermal imaging dual-spectrum network camera detects a fire or smoke, the camera immediately transmits the alarm signal and related images to the IoT gateway; the IoT controller triggers an emergency linkage and outputs a signal through the DO interface to cut off the power supply of the relevant power circuit (must be configured in conjunction with the fan master control system).

[0053] The fire extinguishing device in the cabinet is activated, sending an emergency alarm message to the monitoring center, along with the alarm location and image. The monitoring center displays the emergency alarm through the user interface and simultaneously sends text messages and voice alarms to the operation and maintenance personnel, prompting them to take emergency action. When the data acquisition unit detects a data transmission anomaly (such as a communication interruption or data verification error) or an abnormal device status (such as a sensor failure), it generates an abnormality message and transmits it to the monitoring center via the communication network. The monitoring center displays the abnormal device status on the user interface, noting the location and type of the anomaly. Operation and maintenance personnel can remotely view the device status through the user interface and, if necessary, arrange on-site maintenance to ensure normal system operation.

[0054] Fluorescent fiber optic temperature sensor: Configurable temperature measurement range, accuracy calibration parameters, and temperature alarm thresholds (such as warning value 100°C, alarm value 120°C, emergency shutdown value 150°C) can be set according to the on-site environment.

[0055] Thermal imaging dual-spectrum network camera: Configure the temperature measurement area (such as selecting the copper busbar connection point), temperature measurement parameters (maximum temperature, average temperature), smoke and fire detection sensitivity (low, medium, high), and alarm delay time (to avoid false alarms).

[0056] Data acquisition unit: Configure the communication protocol (ModbusRTU, TCP / IP), data upload frequency (such as 10 seconds / time), and edge computing rules (such as data filtering threshold).

[0057] Regular inspections: Operation and maintenance personnel regularly log in to the user interface to check the equipment's operating status and data curves, and to check for any abnormal alarm records.

[0058] On-site maintenance: For faulty equipment (such as abnormal sensor signals or blurred camera images), we will go to the site to replace or repair the equipment according to the fault location indicated on the user interface.

[0059] Data backup: The monitoring center regularly backs up historical data to ensure data traceability and provide a basis for equipment maintenance and fault analysis.

[0060] System upgrade: Based on technological development and site requirements, remotely upgrade the monitoring center software and IoT controller firmware through the user interface to optimize system functions.

[0061] Working Principle: During wind turbine operation, a fluorescent fiber optic temperature sensor measures the temperature of the copper busbar between the generator-side circuit breaker and input and output cables, the copper busbar between the twisted cable platform conductor rail junction box and the input cable, the copper busbar between the generator-side power cabinet reactor and the incoming cable, and the copper busbar between the grid-side power incoming cabinet reactor and the output cable. The sensor converts the temperature information into an optical signal and transmits it to a fluorescent fiber optic temperature transmitter. The transmitter receives and analyzes the optical signal and transmits it to the IoT gateway via the RS485 interface using the Modbus RTU communication protocol.

[0062] Simultaneously, a thermal imaging dual-spectrum network camera monitors temperature and fire signals in the generator-side circuit breaker cabinet, conductor rail wiring cabinet, generator-side power cabinet, and grid-side power cabinet in real time. These signals are aggregated via an RJ45 network port to a switch, which then connects to an IoT controller, transmitting real-time conventional and infrared video data to the IoT gateway. When an alarm condition is triggered, the information is output to the IoT gateway's DI module via a connected alarm output device. Images are captured through snapshots or event-based linkage and uploaded to designated IoT backend storage.

[0063] The data acquisition unit (including the USR-M300 IoT controller) collects the aforementioned temperature signals and video data. Leveraging its integrated functions and supported protocols, it transmits this data via a communications network to a monitoring center. The monitoring center processes and analyzes the collected data, using pre-set algorithms to determine the health of the power circuit and issuing alerts if anomalies are detected. Users can access real-time device data, detailed information, configuration, video monitoring, real-time alarms, and historical data through the user interface.

[0064] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article, or device. In the absence of further limitations, an element defined by the phrase "comprising a..." does not exclude the presence of additional identical elements in the process, method, article, or device comprising the element.

[0065] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A real-time intelligent monitoring system for wind turbine power circuit based on the Internet of Things, characterized by: It includes a fluorescent fiber optic temperature sensor, a fluorescent fiber optic temperature transmitter, a thermal imaging dual-spectrum network camera, a data acquisition unit, a communication network, a monitoring center and a user interface; The fluorescent fiber optic temperature sensor is used to measure the temperature of the power circuit copper busbar in real time. The fluorescent fiber optic temperature transmitter is used to receive and analyze the optical signal transmitted by the fluorescent fiber optic temperature sensor and transmit the temperature signal to the Internet of Things gateway. The thermal imaging dual-spectrum network camera is used to monitor the temperature signal and smoke signal in the cabinet in real time and transmit the video data to the Internet of Things gateway. The data acquisition unit is used to collect data and transmit it to the communication network. The communication network is used to transmit the data to the monitoring center. The monitoring center is used to process and analyze the data and issue an alarm. The user interface is used to display real-time data and related information of the equipment.

2. The real-time intelligent monitoring system for the power circuit of a wind turbine generator set based on the Internet of Things according to claim 1 is characterized in that: The measurement range of the fluorescent fiber optic temperature sensor is -40°C to 200.0°C, the measurement accuracy is ±1°C, and the resolution is 0.1°C. Its fiber optic probe consists of an ST connector, an optical fiber cable, and an end temperature sensing end; the ST connector is used to connect to the photoelectric module, and the optical fiber cable is used to transmit light. It has a quartz optical fiber inside and a coating layer, a cladding, and a Teflon protective cover on the outside. The end temperature sensing end contains a temperature-sensitive rare earth material.

3. The real-time intelligent monitoring system for wind turbine power circuit based on the Internet of Things according to claim 1 is characterized in that: The fluorescent optical fiber temperature sensor is installed on the copper busbar between the circuit breaker on the generator side of the wind turbine generator cabin and the input and output cables, the copper busbar between the twisted cable platform conductor rail wiring cabinet and the input cable, the copper busbar between the generator side power cabinet reactor and the incoming cable, and the copper busbar between the grid side power incoming cabinet reactor and the output cable.

4. The real-time intelligent monitoring system for wind turbine power circuit based on the Internet of Things according to claim 1 is characterized in that: The working voltage of the fluorescent fiber optic temperature transmitter is DC24V, the ambient temperature is -20℃~+55℃, the ambient humidity is ≤95%, and the communication mode is RS485 interface and Modbus communication interface. It transmits the temperature signal to the Internet of Things gateway through the RS485 interface according to the ModbusRTU communication protocol.

5. The real-time intelligent monitoring system for the power circuit of a wind turbine generator set based on the Internet of Things according to claim 1 is characterized in that: The thermal imaging dual-spectrum network camera has automatic temperature measurement and smoke and fire detection functions; the automatic temperature measurement function realizes temperature measurement and alarm by setting temperature measurement parameters or rules, and superimposes and displays temperature data on the thermal imaging channel; the smoke and fire detection function displays the screen, links the alarm, and uploads the alarm information according to the configured strategy after detecting a fire point or smoke.

6. The real-time intelligent monitoring system for the power circuit of a wind turbine generator set based on the Internet of Things according to claim 1 is characterized in that: The thermal imaging dual-spectrum network camera is installed above the generator side circuit breaker cabinet, conductor rail wiring cabinet, generator side power cabinet, and grid side power cabinet. It is connected to the Internet of Things controller through the RJ45 network port via the switch and transmits the video data to the Internet of Things gateway. When the alarm is triggered, the alarm information is output to the Internet of Things gateway DI module, and the picture is obtained by capturing or event linkage and uploaded to the Internet of Things backend storage.

7. The real-time intelligent monitoring system for the power circuit of a wind turbine generator set based on the Internet of Things according to claim 1 is characterized in that: The data acquisition unit adopts the USR-M300 IoT controller of URN, which adopts the Linux kernel, has a main frequency of 1.2Ghz, and a network design of WAN / LAN plus 4G cellular. The hardware integrates 2-channel DI, 2-channel DO, 2-channel AI and 2-channel RS485; it has data edge acquisition, calculation, active reporting, data reading and writing, linkage control, IO acquisition and control functions, supports standard Modbus protocol, multiple PLC protocols and ModbusRTU / ICP, OPCUA protocol conversion, and supports access to platforms such as URN, Alibaba Cloud, AWS, and Huawei Cloud.

8. The real-time intelligent monitoring system for the power circuit of a wind turbine generator set based on the Internet of Things according to claim 1 is characterized in that: The monitoring center includes maps, equipment statistics, organization lists, scene statistics, data storage statistics, alarm statistics and other information overviews. Equipment distribution and information can be viewed through maps, and the health status of the power circuit can be judged and alarms can be issued through preset algorithms.

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