CN-121994297-A - Environment monitoring system suitable for offshore floating wind turbine generator system platform

CN121994297ACN 121994297 ACN121994297 ACN 121994297ACN-121994297-A

Abstract

The application provides an environment monitoring system suitable for an offshore floating wind turbine platform, wherein a data acquisition module is used for acquiring air turbulence and hydrodynamic environment parameters around the offshore floating wind turbine platform in real time, a data transmission module is used for transmitting acquired data to a data preprocessing module, the data preprocessing module is used for cleaning and regularizing the received data, a data fusion module is used for integrating and associatively analyzing the preprocessed multi-source data, an intelligent analysis module is used for carrying out depth calculation and model reasoning based on the fused data, an early warning decision module is used for generating early warning signals and control suggestions according to intelligent analysis results, a display module is used for displaying the monitoring results and the early warning information in a visual mode, a control feedback module is used for converting the control suggestions into control instructions and sending the control instructions to a wind turbine control system, and synchronous monitoring and intelligent processing of the turbulence and hydrodynamic environment of the offshore floating wind turbine platform are realized by constructing a complete monitoring system.

Inventors

ZHU LIANG
CAO SHUGANG
ZHANG LONG
LI JINYUAN
SHENG YINGXIN
LI XINGYUN
HAO XIHUA
FENG XINGRU
YAN LICHUN
WANG MIAO
WANG YU

Assignees

龙源(北京)新能源工程设计研究院有限公司

Dates

Publication Date: 20260508
Application Date: 20251222

Claims (10)

1. The environment monitoring system suitable for the offshore floating wind turbine generator system platform is characterized by comprising a data acquisition module, a data transmission module, a data preprocessing module, a data fusion module, an intelligent analysis module, an early warning decision module, a display module and a control feedback module; The data acquisition module is used for acquiring air turbulence and hydrodynamic environment parameters around the offshore floating wind turbine platform in real time; the data transmission module is used for transmitting the acquired data to the data preprocessing module; the data preprocessing module is used for cleaning and regulating the received data; The data fusion module is used for integrating and performing association analysis on the preprocessed multi-source data; the intelligent analysis module is used for carrying out depth calculation and model reasoning based on the fusion data; the early warning decision module is used for generating early warning signals and control suggestions according to intelligent analysis results; the display module is used for displaying the monitoring result and the early warning information in a visual mode; the control feedback module is used for converting the control advice into a control instruction and sending the control instruction to the wind turbine generator control system.
2. The system of claim 1, wherein the data acquisition module comprises a wind speed and direction sensor, a wave height sensor, a wave period sensor, a flow rate and direction sensor, a water temperature sensor, and a barometric pressure sensor; The wind speed and direction sensor is arranged on the top of the cabin of the wind turbine generator or on the platform mast and is used for measuring wind speeds and wind directions of different heights; The wave height sensor and the wave period sensor are radar type or acoustic type sensors, the radar type sensor is arranged at an unobscured position of the platform to scan the sea surface, and the acoustic type sensor is arranged in the windward direction of the platform; The flow velocity and direction sensor is an acoustic Doppler flow velocity profiler and is arranged at the bottom of the platform and used for measuring the flow velocity and direction of seawater of different water layers; the water temperature sensor and the air pressure sensor are respectively used for measuring the temperature of the sea water surface layer and the atmospheric pressure near the platform; All sensors adopt a synchronous trigger mechanism to collect data.
3. The system of claim 1, wherein the data transmission module employs a hybrid wired and wireless transmission architecture; inside the platform, the sensor and the data concentrator are connected by adopting a shielded twisted pair or a coaxial cable; A wireless transmission mode that 4G/5G mobile communication and satellite communication are mutually backed up is adopted between the platform and the shore-based monitoring center; The data transmission module adopts cyclic redundancy check to ensure data integrity and applies an encryption standard algorithm to encrypt transmission data; The data transmission module also comprises a dynamic routing function, and is automatically switched between 4G/5G and satellite communication according to the channel quality.
4. The system of claim 1, wherein the data preprocessing module comprises: identifying and marking abnormal values exceeding a physical reasonable range through a sliding window detection algorithm; Smoothing the noisy data with a butterworth digital filter; carrying out data filling on missing data caused by transmission interruption or sensor faults by adopting a time sequence linear interpolation method; and uniformly converting all the environmental parameter data into an international unit system standard format.
5. The system of claim 1, wherein the data fusion module comprises: Establishing a unified space-time coordinate system, and matching data from different sensors through time stamp alignment and space coordinate conversion; extracting key feature quantities from the matched data through a feature extraction process, wherein the key feature quantities comprise wind speed pulsation variance, wave dominant period and flow velocity vertical gradient; and combining the key characteristic quantities into a multidimensional environment state vector for representing the comprehensive environment condition of the platform.
6. The system of claim 1, wherein the intelligent analysis module comprises: the turbulence intensity calculation model calculates turbulence intensity by analyzing the statistical characteristics of the wind speed sequence; the hydrodynamic load assessment model synthesizes the overall hydrodynamic force received by the wave and flow load calculation platform; the environmental impact prediction model predicts the environmental condition change trend of a specific future period by adopting a time sequence analysis method based on historical data and real-time data.
7. The system of claim 6, wherein the turbulence intensity calculation model calculates turbulence intensity using the following calculation formula: Wherein TI represents turbulence intensity, N represents wind speed sampling points, the sequence length acquired by a wind speed sensor from a data acquisition module, V i represents an ith wind speed sampling value, the wind speed sensor from the data acquisition module, And representing the average wind speed, and calculating a wind speed sequence by a data preprocessing module.
8. The system of claim 6, wherein the hydrodynamic load assessment model calculates equivalent wave forces using the following calculation formula: wherein F represents equivalent wave force, C represents load coefficient, M represents wave sampling point number according to fan platform characteristic determination by intelligent analysis module, H j represents j-th wave height value, T j represents j-th wave period value, and T j represents j-th wave period value.
9. The system of claim 1, wherein the early warning decision module comprises a multi-level threshold comparator that compares key parameters output by the intelligent analysis module with preset safe operating thresholds, alert thresholds, and hazard thresholds; when the parameter exceeds the safe operation threshold, generating early warning information and displaying the early warning information through a monitoring interface; triggering an audible and visual alarm and sending a short message notification when the parameter exceeds an alarm threshold; When the parameter exceeds the dangerous threshold, in addition to triggering the highest-level alarm, a wind turbine generator operation adjustment suggestion is automatically generated, including a yaw angle and a power output limit value of the suggested adjustment.
10. The system of claim 1, wherein the control feedback module receives control advice generated by the early warning decision module and converts the control advice into protocol instructions recognizable by a wind turbine control system; the protocol instruction comprises a yaw system adjustment instruction, a pitch system adjustment instruction and a power controller set value adjustment instruction; And the control feedback module sends the adjustment instruction to the main controller of the wind turbine generator through the platform local area network in real time so as to realize automatic optimization adjustment of the operation parameters.

Description

Environment monitoring system suitable for offshore floating wind turbine generator system platform Technical Field The embodiment of the specification relates to the technical field of equipment operation and maintenance, in particular to an environment monitoring system suitable for an offshore floating wind turbine generator platform. Background With the development of offshore wind power to deep sea, the floating wind turbine generator system platform is increasingly widely applied, however, the running environment is complex and changeable, and the coupling effect of air turbulence and multiple environmental loads such as waves, ocean currents and the like is faced. The existing monitoring means focuses on the acquisition of single environmental elements, lacks the capability of synchronous monitoring and comprehensive analysis of turbulence and hydrodynamic environment, is difficult to comprehensively evaluate the dynamic response characteristics of a platform, causes the problems of inaccurate evaluation of the running state of a unit, untimely safety early warning and the like, and restricts the reliability and the running efficiency of the floating wind power technology. Thus, a better solution is needed. Disclosure of Invention In view of this, the embodiments of the present disclosure provide an environmental monitoring system suitable for an offshore floating wind turbine platform, so as to solve the technical drawbacks in the prior art. According to a first aspect of embodiments of the present disclosure, an environmental monitoring system suitable for an offshore floating wind turbine platform is provided, including a data acquisition module, a data transmission module, a data preprocessing module, a data fusion module, an intelligent analysis module, an early warning decision module, a display module and a control feedback module; The data acquisition module is used for acquiring air turbulence and hydrodynamic environment parameters around the offshore floating wind turbine platform in real time; the data transmission module is used for transmitting the acquired data to the data preprocessing module; The data preprocessing module is used for cleaning and regulating the received data; the data fusion module is used for integrating and performing association analysis on the preprocessed multi-source data; The intelligent analysis module is used for carrying out depth calculation and model reasoning based on the fusion data; The early warning decision module is used for generating early warning signals and control suggestions according to intelligent analysis results; the display module is used for displaying the monitoring result and the early warning information in a visual mode; The control feedback module is used for converting the control advice into a control instruction and sending the control instruction to the wind turbine generator control system. In one possible implementation, the data acquisition module includes a wind speed and direction sensor, a wave height sensor, a wave period sensor, a flow rate and direction sensor, a water temperature sensor, and an air pressure sensor; the wind speed and direction sensor is arranged on the top of the cabin of the wind turbine generator or on the platform mast and is used for measuring wind speeds and wind directions of different heights; the wave height sensor and the wave period sensor are radar type or acoustic type sensors, the radar type sensor is arranged at the unobscured position of the platform so as to scan the sea surface, and the acoustic type sensor is arranged in the windward direction of the platform; The flow velocity and direction sensor is an acoustic Doppler flow velocity profiler and is arranged at the bottom of the platform and used for measuring the flow velocity and direction of seawater of different water layers; the water temperature sensor and the air pressure sensor are respectively used for measuring the temperature of the sea water surface layer and the atmospheric pressure near the platform; All sensors adopt a synchronous trigger mechanism to collect data. In one possible implementation, the data transmission module adopts a mixed wired and wireless transmission architecture; inside the platform, the sensor and the data concentrator are connected by adopting a shielded twisted pair or a coaxial cable; A wireless transmission mode that 4G/5G mobile communication and satellite communication are mutually backed up is adopted between the platform and the shore-based monitoring center; the data transmission module adopts cyclic redundancy check to ensure data integrity, and encrypts transmission data by applying an encryption standard algorithm; the data transmission module also comprises a dynamic routing function, and is automatically switched between 4G/5G and satellite communication according to the channel quality. In one possible implementation, the data preprocessing module includes: identifying and marking