Wind field data information acquisition system

Abstract

The invention relates to the technical field of new energy, and discloses a wind field data information acquisition system which is used for acquiring operation data and environment data of various devices in a wind field. The wind field data information acquisition system comprises a wind generating set data monitoring system, a wind field box transformer substation information acquisition system, a wind power prediction data monitoring system, a power data monitoring control system and a set vibration monitoring system. The wind field data information acquisition system provided by the invention can monitor the operation states of equipment such as a fan and a box transformer substation in real time and transmit data to the operation management center for analysis and processing, thereby providing support for efficient operation and maintenance of a wind field.

Description

Technical Field

[0001] The present invention relates to the field of new energy technology, and in particular to a wind farm data information collection system. Background Art

[0002] Wind power generation is a clean energy technology that uses wind energy to drive wind turbines to convert kinetic energy into electrical energy. A wind farm (i.e., a wind power plant / wind farm) is a power generation area where multiple wind turbines are installed in a centralized manner, and is the core infrastructure for large-scale utilization of wind energy.

[0003] The efficient operation of wind farms depends on real-time monitoring of equipment operating status and environmental conditions. Existing wind farm data acquisition systems are insufficient in terms of comprehensiveness and real-time data acquisition, and cannot meet the operational needs of modern wind farms.

[0004] Therefore, it is necessary to provide a comprehensive and real-time wind farm data information collection system to solve the above technical problems. Summary of the invention

[0005] In order to solve the technical problem that the existing wind farm data collection system is insufficient in terms of comprehensiveness and real-time performance of data collection, the present invention provides a wind farm data information collection system.

[0006] The wind farm data information collection system provided by the present invention comprises: a wind turbine generator set data monitoring system, a wind farm box transformer information collection system, a wind power prediction data monitoring system, a power data monitoring and control system and a unit vibration monitoring system.

[0007] Preferably, the equipment monitored by the wind turbine generator data monitoring system and the corresponding collected information include:

[0008] Pitch system: pitch angle, pitch speed, pitch motor current, pitch power supply voltage, backup power supply voltage;

[0009] Converter: Converter DC bus voltage, converter active power, converter reactive power, torque feedback, generator grounding current effective value, grid-side voltage, grid-side current, export active power, export reactive power, power factor, converter temperature, power module maximum temperature, converter cooling system status, converter heating system status, etc.;

[0010] Gearbox system: impeller speed, spindle temperature, medium-speed bearing temperature, gear oil temperature, gearbox oil level, gearbox oil pressure, fan status, heater status, gearbox inlet oil temperature, gearbox inlet oil pressure, gear oil pump pressure, water cooling system coolant temperature, water cooling system coolant pressure, gear fan operation, gear oil pump low speed operation, gear oil pump high speed operation, etc.;

[0011] Generator system: generator speed, generator U-phase winding temperature, generator V-phase winding temperature, generator W-phase winding temperature, generator slip ring temperature, generator drive end temperature, generator non-drive end temperature, generator cooling system status, generator heating system status, etc.;

[0012] Lubrication system: generator bearing lubrication oil level, generator bearing lubrication blockage, pitch lubrication oil level, pitch lubrication blockage, yaw lubrication oil level, yaw bearing blockage, lubrication oil pump status, etc.;

[0013] Yaw system: yaw position, twist cable angle, right yaw status, left yaw status, yaw brake pressure, etc.;

[0014] Hydraulic system: hydraulic station oil level, hydraulic station oil temperature, hydraulic system pressure, main shaft brake pressure, yaw system pressure, wind wheel lock pressure, wind wheel lock position, hydraulic pump status, hydraulic pump working time, etc.;

[0015] Cabin system: cabin temperature, ambient temperature, cabin control cabinet temperature, cabin cabinet humidity (switch quantity), cabin X-direction acceleration, cabin Y-direction acceleration, cabin maximum instantaneous acceleration, mechanical anemometer wind speed, mechanical wind vane wind direction angle, ultrasonic anemometer wind speed, ultrasonic anemometer wind direction angle, etc.

[0016] Main control cabinet system: tower bottom ambient temperature, tower bottom control cabinet temperature, tower bottom humidity (switch quantity), power generation, tower base transformer temperature, etc.;

[0017] Water cooling system: inverter water cooling cabinet temperature, inverter water cooling cabinet humidity (switch value), water cooling system pressure, inverter water inlet temperature, inverter water outlet temperature, etc.;

[0018] Wind turbine status: normal power generation, power limit, fault shutdown, maintenance shutdown, environmental shutdown, grid fault shutdown, technical standby, communication interruption, etc.;

[0019] Fan control: fan start / stop, reset, yaw, parameter adjustment, main control system software version, main controller time, active power set value, active power feedback value, reactive power set value, reactive power feedback value, etc.

[0020] Preferably, the information collected by the box-type transformer information collection system in the wind farm includes: the opening and closing positions of the circuit breaker on the high-voltage side of the box-type transformer, the positions of the grounding switch and the isolation switch on the high-voltage side, the non-electrical signals of the box-type transformer (light / heavy gas, over-temperature tripping, high-temperature alarm, abnormal oil level), the opening and closing positions of the circuit breaker on the low-voltage side, the high- and low-voltage side door position signals of the box-type transformer, the oil temperature signal, the ambient temperature signal of the box-type transformer, the voltage, current, active power, reactive power, power factor, etc. on the high- and low-voltage sides.

[0021] Preferably, the data collected by the wind power prediction data monitoring system include: meteorological forecast data (including at least parameters such as wind speed, wind direction, total irradiance, cloud cover, temperature, humidity, air pressure, etc. at different layer heights), measured meteorological data collected by the wind farm including at least wind speed and wind direction at 10m, 30m, 50m, 70m and at the hub height of the wind turbine, temperature, air pressure, relative humidity at an elevation of 10m, and collected data of wind turbine cabin wind measuring instruments; power generation prediction result data; and the expected number of stations to be started in the same period as the predicted power curve.

[0022] Preferably, the data collected by the power data monitoring and control system includes:

[0023] (1) Main monitoring data: wind farm AGC / AVC system status and measurement data, including wind farm target active power, reactive power, frequency, voltage and process control status, abnormal alarm and other information;

[0024] (2) Main control data: single fan and group control of multiple fans, and target value issuance.

[0025] Preferably, the information collected by the unit vibration monitoring system includes: status and measurement data of the unit vibration sensor and rotation speed sensor.

[0026] Compared with the related art, the wind farm data information collection system provided by the present invention has the following beneficial effects:

[0027] The wind farm data information acquisition system provided by the present invention can comprehensively collect the operating data and environmental data of various equipment in the wind farm, providing comprehensive data support for wind farm operations; and can monitor the operating status of equipment in real time, detect faults in time and issue alarms, thereby improving the reliability and operating efficiency of the equipment. DETAILED DESCRIPTION

[0028] The present invention will be further described below in conjunction with the embodiments.

[0029] The invention provides a wind farm data information collection system comprising: a wind turbine generator set data monitoring system, a wind farm box transformer information collection system, a wind power prediction data monitoring system, a power data monitoring and control system and a unit vibration monitoring system.

[0030] The equipment monitored by the wind turbine generator data monitoring system and the corresponding collected information include:

[0031] Pitch system: pitch angle, pitch speed, pitch motor current, pitch power supply voltage, backup power supply voltage; real-time monitoring of pitch angle, speed, motor current, power supply voltage and backup power supply voltage to ensure that the pitch system accurately adjusts the blade angle, so that the wind turbine can operate stably at different wind speeds, and ensure power generation efficiency and safety. By monitoring the various parameters of the pitch system, it is possible to discover potential faults in the pitch system in advance, perform maintenance in a timely manner, reduce the impact of sudden faults on wind turbine operation, extend equipment life, and reduce operation and maintenance costs.

[0032] Converter: Converter DC bus voltage, converter active power, converter reactive power, torque feedback, generator ground current effective value, grid-side voltage, grid-side current, export active power, export reactive power, power factor, converter temperature, maximum temperature of power module, converter cooling system status, converter heating system status, etc.; Collect converter DC bus voltage, active power, reactive power and other electrical parameters and temperature, cooling system status and other information to fully understand the converter operation status, ensure its stable conversion of electric energy and improve the quality of electric energy. Optimize converter operation parameters through data analysis, improve power conversion efficiency, reduce power loss, enhance wind turbine economy, warn of faults in advance, and ensure reliable operation of wind farms.

[0033] Gearbox system: impeller speed, spindle temperature, medium-speed bearing temperature, gear oil temperature, gearbox oil level, gearbox oil pressure, fan status, heater status, gearbox inlet oil temperature, gearbox inlet oil pressure, gear oil pump pressure, water cooling system coolant temperature, water cooling system coolant pressure, gear fan operation, gear oil pump low speed operation, gear oil pump high speed operation, etc.; by monitoring the various parameters of the gearbox system, hidden dangers of gearbox failure can be discovered in advance, timely maintenance can be carried out, downtime caused by sudden failures can be reduced, the service life of the gearbox can be extended, operation and maintenance costs can be reduced, and long-term stable operation of the fan can be guaranteed.

[0034] Generator system: generator speed, generator U-phase winding temperature, generator V-phase winding temperature, generator W-phase winding temperature, generator slip ring temperature, generator drive end temperature, generator non-drive end temperature, generator cooling system status, generator heating system status, etc.; real-time monitoring of generator speed, each phase winding temperature, slip ring temperature, drive end and non-drive end temperature, as well as cooling system and heating system status to ensure that the generator operates efficiently at an appropriate temperature and prevent overheating failures; discover hidden dangers of generator failures in advance, maintain them in time, extend equipment life, reduce operation and maintenance costs, ensure stable power generation of generators, and improve the economic benefits of wind farms.

[0035] Lubrication system: generator bearing lubrication oil level, generator bearing lubrication blockage, pitch lubrication oil level, pitch lubrication blockage, yaw lubrication oil level, yaw bearing blockage, lubrication oil pump status, etc.; by monitoring the lubrication oil level, blockage and lubrication oil pump status of the generator bearing, pitch and yaw systems, abnormalities in the lubrication system can be detected in time to ensure good lubrication of all components and reduce wear; lubrication system failures can be detected in advance and timely maintenance can be carried out to ensure the normal operation of equipment, extend service life, reduce operation and maintenance costs, and improve the operating efficiency and economic benefits of wind farms.

[0036] Yaw system: yaw position, cable twist angle, right yaw status, left yaw status, yaw brake pressure, etc.; by monitoring the yaw position, cable twist angle, left and right yaw status and yaw brake pressure, hidden dangers of yaw system failure can be discovered in advance, and timely maintenance can be carried out to reduce power generation losses caused by yaw failures, ensure that the yaw system accurately adjusts the direction of the wind turbine so that the wind turbine always faces the wind direction, improve power generation efficiency, extend equipment life, and reduce operation and maintenance costs.

[0037] Hydraulic system: hydraulic station oil level, hydraulic station oil temperature, hydraulic system pressure, main shaft brake pressure, yaw system pressure, wind wheel lock pressure, wind wheel lock position, hydraulic pump status, hydraulic pump working time, etc.; by monitoring the hydraulic station oil level, oil temperature, system pressure and pressure of each component, hydraulic pump status and working time, timely discover hydraulic system leakage, abnormal pressure and other problems to ensure stable operation of the hydraulic system.

[0038] Cabin system: cabin temperature, ambient temperature, cabin control cabinet temperature, cabin cabinet humidity (switch quantity), cabin acceleration in the X direction, cabin acceleration in the Y direction, maximum instantaneous acceleration of the cabin, mechanical anemometer wind speed, mechanical wind vane wind direction angle, ultrasonic anemometer wind speed, ultrasonic anemometer wind direction angle, etc.; by monitoring cabin temperature, ambient temperature, cabin control cabinet temperature, cabin cabinet humidity, cabin acceleration, wind speed and direction and other parameters, understand the cabin environment and wind turbine stress conditions to ensure the normal operation of the equipment; discover cabin environment abnormalities and wind turbine structure safety problems in advance, adjust and maintain in time, extend equipment life, reduce operation and maintenance costs, and improve the reliability of wind farm operation.

[0039] Main control cabinet system: tower bottom ambient temperature, tower bottom control cabinet temperature, tower bottom humidity (switch quantity), power generation, tower base transformer temperature, etc.; by monitoring the tower bottom ambient temperature, control cabinet temperature, humidity, power generation and tower base transformer temperature, the tower bottom environment and transformer operating conditions are mastered to ensure stable operation of the main control cabinet and transformer; hidden dangers of main control cabinet and tower base transformer failure are discovered in advance, and maintenance is carried out in a timely manner to reduce equipment failures caused by environmental factors, extend equipment life and reduce operation and maintenance costs.

[0040] Water cooling system: inverter water cooling cabinet temperature, inverter water cooling cabinet humidity (switch quantity), water cooling system pressure, inverter water inlet temperature, inverter water outlet temperature, etc.; by monitoring the inverter water cooling cabinet temperature, humidity, water cooling system pressure and inlet and outlet temperatures, ensure that the water cooling system effectively dissipates heat and maintains the normal operating temperature of the inverter; detect water cooling system faults in advance, maintain them in time, ensure stable operation of the inverter, improve power conversion efficiency, reduce operation and maintenance costs, and extend equipment service life.

[0041] Wind turbine status: normal power generation, power limit, fault shutdown, maintenance shutdown, environmental shutdown, power grid fault shutdown, technical standby, communication interruption, etc.; through real-time monitoring of the wind turbine's operating status, such as normal power generation, fault shutdown, etc., quickly respond to faults, arrange maintenance, reduce downtime losses, and ensure long-term stable power generation of wind turbines; fully grasp the wind turbine's operating status, optimize operation management, improve power generation efficiency and economic benefits, warn of faults in advance, and reduce the difficulty and cost of operation and maintenance.

[0042] Wind turbine control: wind turbine start / stop, reset, yaw, parameter adjustment, main control system software version, main controller time, active power set value, active power feedback value, reactive power set value, reactive power feedback value, etc.; by realizing remote start / stop, reset, yaw, parameter adjustment of wind turbines and monitoring of software version, time, active and reactive power set values ​​and feedback values, remote operation and refined management of wind turbines are facilitated; the convenience and accuracy of wind turbine control are improved, the risk and workload of on-site operations are reduced, the performance of wind turbines is optimized, the power generation efficiency is improved, and the intelligent management level of wind farms is enhanced.

[0043] The wind turbine data monitoring system provides detailed data support for the daily management and maintenance of wind farms by collecting the operating data of each key component of wind turbines in real time. Wind farm managers can use this data to monitor the operating status of wind turbines in real time, discover hidden equipment failures in a timely manner, and arrange maintenance work in advance, thereby reducing the impact of equipment failures on wind farm operations and improving the power generation efficiency and economic benefits of wind farms. At the same time, this data can also provide a reference for the long-term planning and equipment upgrades of wind farms, helping wind farm managers make more scientific and reasonable decisions and promote the sustainable development of wind farms.

[0044] The information collected by the box-type transformer information collection system in the wind farm includes: the opening and closing positions of the circuit breaker on the high-voltage side of the box-type transformer, the positions of the grounding knife and the isolation knife on the high-voltage side, the non-electrical signals of the box-type transformer (light / heavy gas, over-temperature tripping, high-temperature alarm, abnormal oil level), the opening and closing positions of the circuit breaker on the low-voltage side, the high- and low-voltage side door position signals of the box-type transformer, the oil temperature signal, the ambient temperature signal of the box-type transformer, the voltage, current, active power, reactive power, power factor, etc. on the high- and low-voltage sides.

[0045] The box transformer information collection system in the wind farm monitors the various states and electrical parameters of the box transformer in real time, providing a strong guarantee for the power transmission and equipment safety of the wind farm. Wind farm managers can use these data to understand the operating status of the box transformer in real time, discover abnormal situations in time and take corresponding measures, thereby ensuring the stable transmission of electric energy, reducing power outages caused by box transformer failures, and improving the power supply reliability and operating stability of the wind farm. In addition, by analyzing these data, the operating parameters of the box transformer can be optimized, power loss can be reduced, and the overall economic benefits of the wind farm can be improved.

[0046] The data collected by the wind power prediction data monitoring system include: meteorological forecast data (including at least parameters such as wind speed, wind direction, total irradiance, cloud cover, temperature, humidity, air pressure, etc. at different levels), measured meteorological data collected by the wind farm including at least wind speed and wind direction at 10m, 30m, 50m, 70m and at the hub height of the wind turbine, temperature, air pressure, relative humidity at an altitude of 10m, and data collected by wind turbine cabin wind measuring instruments; power generation prediction result data; and the expected number of stations to be started in the same period as the predicted power curve.

[0047] The wind power forecast data monitoring system provides an accurate data basis for wind farm power forecasting by collecting meteorological forecast data and measured meteorological data. Wind farm managers can use these data combined with professional power forecast models to predict the wind farm's power generation in advance, so as to better arrange the wind farm's operation plan and power dispatch. This not only helps the coordinated operation of the wind farm and the power grid, and reduces the impact of power fluctuations on the power grid, but also improves the wind farm's power generation efficiency and economic benefits, and enhances the wind farm's competitiveness in the power market.

[0048] The data collected by the power data monitoring and control system include:

[0049] (1) Main monitoring data: wind farm AGC / AVC system status and measurement data, including wind farm target active power, reactive power, frequency, voltage and process control status, abnormal alarm and other information;

[0050] (2) Main control data: single fan and group control of multiple fans, and target value issuance.

[0051] The power data monitoring and control system monitors the AGC / AVC system status and measurement data of the wind farm in real time, and implements the issuance of target values ​​for single wind turbines and group control of multiple wind turbines. This enables the wind farm to accurately control the active power and reactive power of wind turbines according to the needs of the power grid and the actual situation of the wind farm, and improve the power control accuracy and response speed of the wind farm. At the same time, through the monitoring and analysis of power data, wind farm managers can promptly discover power anomalies and take corresponding measures to adjust and optimize, thereby ensuring the stable operation of the wind farm, reducing adverse effects on the power grid, and improving the operating efficiency and economic benefits of the wind farm.

[0052] The information collected by the unit vibration monitoring system includes: the status and measurement data of the unit vibration sensor and the rotation speed sensor.

[0053] The unit vibration monitoring system collects the status and measurement data of the unit vibration sensor and speed sensor in real time, providing an important basis for the safe operation and fault diagnosis of wind turbines. Wind farm managers can use this data to monitor the vibration of the unit in real time and promptly discover potential fault hazards, such as wear, imbalance or looseness of mechanical parts. Through in-depth analysis of vibration data, the type and location of the fault can be accurately determined, providing guidance for the maintenance and repair of the unit, reducing downtime caused by sudden failures, extending the service life of the unit, and ensuring the long-term stable operation of the wind farm.

[0054] In the wind farm data information collection system of the present invention, the wind turbine data monitoring system is installed on each wind turbine to collect the operating data of the wind turbine in real time and send it to the operation management center through the data transmission module; the box transformer information collection system in the wind farm is installed on the box transformer equipment in the wind farm to collect the operating data of the box transformer and send it to the operation management center. The wind power prediction data monitoring system, the power data monitoring and control system and the unit vibration monitoring system collect corresponding data respectively and send them to the operation management center. The operation management center analyzes and processes the received data to provide decision support for the operation and maintenance of the wind farm.

[0055] It should be noted that, in the present invention, the wind farm data sampling frequency is not less than 1 Hz, and the resolution is not greater than 1 S; the communication protocols include but are not limited to IEC104, Modbus-TCP, OPC, etc.

[0056] The wind farm data information acquisition system of the present invention has the following beneficial effects:

[0057] 1. Improve wind farm operation efficiency and power generation benefits

[0058] Accurate monitoring and optimized operation: The wind turbine data monitoring system collects the operating data of each component of the wind turbine in real time, allowing operators to fully understand the equipment status and adjust the operating parameters to the optimal level in a timely manner to improve power generation efficiency. For example, monitoring the variable pitch system data can accurately adjust the blade angle to adapt to different wind speeds and maximize wind energy capture.

[0059] Power forecasting and scheduling optimization: The wind power forecasting data monitoring system provides meteorological and power forecasting data to help wind farms plan operations and schedule in advance. Accurate power forecasting enables wind farms to prepare in advance, reduce the impact of power fluctuations on the power grid, and improve the grid's acceptance and economic benefits.

[0060] 2. Enhance equipment reliability and safety

[0061] Fault early warning and preventive maintenance: Each monitoring system collects equipment operating parameters and status information in real time to detect potential faults in advance. If the vibration monitoring system detects abnormal vibration of the unit, it can be promptly checked and handled to avoid the expansion of the fault.

[0062] Safe operation monitoring and protection: The system monitors the equipment operating environment and safety-related parameters, such as temperature and humidity in the cabin and main control cabinet system, to ensure safe operation of the equipment and reduce failures caused by environmental factors.

[0063] 3. Reduce operation and maintenance costs and difficulty

[0064] Accurately locate faults and reduce downtime: The system accurately locates faulty equipment and components, shortening maintenance time. For example, if the hydraulic system detects abnormal pressure, it can be repaired quickly to reduce downtime losses.

[0065] Remote monitoring and operation: The wind turbine data monitoring system supports remote monitoring of wind turbine status and operation control, reducing the on-site workload and risks of operation and maintenance personnel, improving operation and maintenance efficiency, and reducing labor costs.

[0066] 4. Promote intelligent and refined management of wind farms

[0067] Data-driven decision support: The system collects a large amount of real-time data and provides a scientific basis for wind farm management after analysis and processing. The power data monitoring and control system monitors power data, optimizes control strategies, and improves operating efficiency.

[0068] Integrated management and collaborative optimization: The system integrates multiple subsystems to achieve coordinated operation of wind farm equipment. The box-type transformer information collection system in the wind farm cooperates with the power monitoring and control system to optimize reactive power regulation, stabilize voltage, and improve power quality.

[0069] 5. Improve the sustainable development capabilities of wind farms

[0070] Environmental monitoring and adaptive operation: The wind power forecast data monitoring system monitors meteorological data, allowing the wind farm to adjust its operation strategy according to environmental changes, reduce interference with the ecological environment, and achieve sustainable development.

[0071] Long-term planning and optimization upgrades: The system accumulates a large amount of operating data, providing a reference for long-term planning and equipment upgrades of wind farms. Analyzing historical data can evaluate equipment performance and wind farm power generation capacity, providing a basis for subsequent planning and upgrades.

[0072] The above descriptions are merely embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent transformations made using the specification of the present invention, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A wind farm data information collection system, characterized in that: include: Wind turbine data monitoring system, wind farm transformer information collection system, wind power prediction data monitoring system, power data monitoring and control system and unit vibration monitoring system.

2. The wind farm data information collection system according to claim 1, characterized in that: The equipment monitored by the wind turbine generator data monitoring system and the corresponding collected information include: Pitch system: pitch angle, pitch speed, pitch motor current, pitch power supply voltage, backup power supply voltage; Converter: Converter DC bus voltage, converter active power, converter reactive power, torque feedback, generator ground current effective value, grid-side voltage, grid-side current, export active power, export reactive power, power factor, converter temperature, power module maximum temperature, converter cooling system status, converter heating system status; Gearbox system: impeller speed, spindle temperature, medium-speed bearing temperature, gear oil temperature, gearbox oil level, gearbox oil pressure, fan status, heater status, gearbox inlet oil temperature, gearbox inlet oil pressure, gear oil pump pressure, water cooling system coolant temperature, water cooling system coolant pressure, gear fan operation, gear oil pump low speed operation, gear oil pump high speed operation; Generator system: generator speed, generator U-phase winding temperature, generator V-phase winding temperature, generator W-phase winding temperature, generator slip ring temperature, generator drive end temperature, generator non-drive end temperature, generator cooling system status, generator heating system status, etc.; Lubrication system: generator bearing lubrication oil level, generator bearing lubrication blockage, pitch lubrication oil level, pitch lubrication blockage, yaw lubrication oil level, yaw bearing blockage, lubrication oil pump status; Yaw system: yaw position, twist cable angle, right yaw status, left yaw status, yaw brake pressure; Hydraulic system: hydraulic station oil level, hydraulic station oil temperature, hydraulic system pressure, main shaft brake pressure, yaw system pressure, wind wheel lock pressure, wind wheel lock position, hydraulic pump status, hydraulic pump working time; Cabin system: cabin temperature, ambient temperature, cabin control cabinet temperature, cabin cabinet humidity, cabin X-direction acceleration, cabin Y-direction acceleration, cabin maximum instantaneous acceleration, mechanical anemometer wind speed, mechanical wind vane wind direction angle, ultrasonic anemometer wind speed, ultrasonic anemometer wind direction angle; Main control cabinet system: tower bottom ambient temperature, tower bottom control cabinet temperature, tower bottom humidity, power generation, tower base transformer temperature; Water cooling system: inverter water cooling cabinet temperature, inverter water cooling cabinet humidity, water cooling system pressure, inverter water inlet temperature, inverter water outlet temperature; Wind turbine status: normal power generation, power limit, fault shutdown, maintenance shutdown, environmental shutdown, power grid fault shutdown, technical standby, communication interruption; Fan control: fan start / stop, reset, yaw, parameter adjustment, main control system software version, main controller time, active power set value, active power feedback value, reactive power set value, reactive power feedback value.

3. The wind farm data information collection system according to claim 1, characterized in that: The information collected by the box-type transformer information collection system in the wind farm includes: the opening and closing positions of the circuit breaker on the high-voltage side of the box-type transformer, the positions of the grounding knife and the isolation knife on the high-voltage side, the non-electrical quantity signals of the box-type transformer, the opening and closing positions of the circuit breaker on the low-voltage side, the high- and low-voltage side door position signals of the box-type transformer, the oil temperature signal, the ambient temperature signal of the box-type transformer, the voltage, current, active power, reactive power and power factor on the high- and low-voltage sides.

4. The wind farm data information collection system according to claim 1, characterized in that: The data collected by the wind power prediction data monitoring system include: meteorological forecast data, measured meteorological data collected by the wind farm including wind speed and direction at 10m, 30m, 50m, 70m and at the hub height of the wind turbine, temperature, air pressure, relative humidity at an altitude of 10m, and data collected by wind turbine cabin wind measuring instruments; power generation prediction result data; and the expected number of stations to be started in the same period as the predicted power curve.

5. The wind farm data information collection system according to claim 1, characterized in that: The data collected by the power data monitoring and control system include: Monitoring data: wind farm AGC / AVC system status and measurement data, including wind farm target active power, reactive power, frequency, voltage and process control status, abnormal alarm and other information; Control data: single fan and group control of multiple fans, target value issuance.

6. The wind farm data information collection system according to claim 1, characterized in that: The information collected by the unit vibration monitoring system includes: the status and measurement data of the unit vibration sensor and the rotation speed sensor.