CN115560796A - Floating type fan real-time monitoring and intelligent control system based on digital twin and environmental test - Google Patents
Floating type fan real-time monitoring and intelligent control system based on digital twin and environmental test Download PDFInfo
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- CN115560796A CN115560796A CN202210778652.2A CN202210778652A CN115560796A CN 115560796 A CN115560796 A CN 115560796A CN 202210778652 A CN202210778652 A CN 202210778652A CN 115560796 A CN115560796 A CN 115560796A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01W—METEOROLOGY
- G01W1/00—Meteorology
- G01W1/02—Instruments for indicating weather conditions by measuring two or more variables, e.g. humidity, pressure, temperature, cloud cover or wind speed
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01W—METEOROLOGY
- G01W1/00—Meteorology
- G01W1/10—Devices for predicting weather conditions
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/72—Wind turbines with rotation axis in wind direction
Abstract
The invention discloses a floating type fan real-time monitoring and intelligent control system based on digital twinning and environmental tests, which comprises: the system comprises a field detection system with a fan state detection module and a sea condition environment detection module, a digital twin system with a real-time monitoring module, an environment prediction module, an intelligent test module and a feedback control module, and an environment simulation system with a fan scale model, an environment simulation device and a measuring device in a laboratory, wherein a floating fan is provided with a liquid damper. The invention establishes a set of environment detection and intelligent control system which is formed by supplementing the actual physical engineering, the digital model and the scale test optimization of the floating type fan, can realize the double reappearance of the digital and physical models of the actual operation state of the floating type fan, provides reliable basis for the monitoring and decision making of technicians and ensures the service life of the floating type fan.
Description
Technical Field
The invention belongs to the technical field of offshore wind power, and particularly relates to a floating type fan real-time monitoring and intelligent control system based on digital twinning and environmental tests.
Background
With the development of ocean resource development technology, the floating wind turbine has become one of the important equipments for deep sea wind energy development. The deep sea has richer wind energy resources, but the storm environmental condition is comparatively harsh, and the continuous swing of the floating type fan can reduce the generating quality of the fan, influence the service life of the wind turbine generator and aggravate the fatigue damage of the platform. In a traditional fan model test, a wind and rain simulation device is not provided, the requirements of simulating sea areas such as south sea and the like with typhoons and tropical storms cannot be met, and the selected wave and wind conditions are set and cannot be consistent with actual sea conditions. In addition, an intelligent regulation and control system integrating real-time detection, prediction and control is lacked in the face of complicated broadband wind wave load excitation.
Most fan design processes in the prior art are that fan models are built in a test pool, and the fan is built and installed after the extreme load and the motion amplitude of the fan meet design standards under extreme sea conditions, so that the whole process is unidirectional, and data feedback of a fan platform in an actual marine environment cannot be obtained. The general digital twin technology cannot implement an optimized control strategy on the structure after acquiring the motion and load information of the fan. Therefore, an environment detection and intelligent control system which is supplemented by the actual physical engineering, the digital model and the scale test optimization is urgently needed to be established based on the digital twin and the machine learning technology.
Disclosure of Invention
The invention aims to overcome the defects of the prior art, provides a floating type fan real-time monitoring and intelligent control system based on digital twinning and environmental tests, can realize the whole-process monitoring of the operation state of the offshore floating type fan by onshore technicians and adopt an optimized control scheme to control the motion of a floating body in real time, can effectively improve the power generation efficiency of a wind turbine generator, reduces fatigue damage and ensures the service life of the floating type fan.
In order to achieve the above object, the present invention adopts the following technical solutions.
A floating type fan real-time monitoring and intelligent control system based on digital twins and environmental tests comprises a field detection system, a digital twins system and an environmental simulation system, wherein the floating type fan is provided with a liquid damper and a cable rope retractor;
the field detection system is used for monitoring the amount of motion, a mooring system, structural stress, wave conditions and wind power levels of the floating type fan in an actual working environment, and comprises a fan state detection module with a six-component instrument, a tension sensor and a strain gauge and a sea state environment detection module with a wave height instrument, a wind speed instrument, a rain gauge and a current meter;
the digital twinborn system comprises a real-time monitoring module, an environment prediction module, an intelligent test module and a feedback control module, provides real-time three-dimensional reproduction of the floating fan, and can visually display the motion response of the fan, a mooring system, the structural stress strain and the weather environmental conditions, so that the personnel can make decisions conveniently;
the environment simulation test system comprises a fan reduced scale model in a laboratory and measuring equipment, wherein the fan reduced scale model is fixed in water through a cable, and the measuring equipment is consistent with a field and comprises a six-component instrument, a tension sensor, a strain gauge, a wave height instrument, an anemoscope, a rain gauge and a flow meter; after the fan scale model is installed, the floating fan real-time monitoring and intelligent control system simulates the field wind and rain and wave flow environment by adjusting the wave making plate, the air blower, the rain making device, the water suction pump and the water suction pump, all measured data are gathered to the calculator through the data integrator, parameters are corrected through the intelligent system, the measured data are kept similar to the field environment, and double reproduction of the digital and physical models of the actual operation state of the field floating fan is realized.
Specifically, in the field detection system, a fan state detection module utilizes a six-component instrument to acquire fan displacement and rotation data, a tension sensor to acquire mooring force data, and a strain gauge to acquire a strain quantity of a local position; the sea condition environment detection module acquires wave parameters by using a wave height meter, acquires wind speed and wind direction by using an anemometer, acquires rainfall by using a rain gauge, and acquires flow speed and flow direction by using a current meter; therefore, the running state and the environmental data of the fan are transmitted to the digital twin system through the wireless signal station. The on-site detection system supplies power through self power generation of the fan, and is provided with the solar cell as a standby power supply.
Specifically, the real-time monitoring module of the digital twinning system constructs a three-dimensional structure and an environment digital model of the on-site floating type fan, so that the state and the surrounding environment condition of the on-site floating type fan can be conveniently and visually known; the environment prediction module predicts wind, wave and current sea condition information in a future period of time according to field wind and wave data by using a machine learning technology, and takes the information as an input condition of a model test; the intelligent test module is controlled by an intelligent system, and the system continuously learns and adjusts the liquid level in the liquid damper and the length of the cable tractor through test data so as to obtain the optimal solution of the vibration reduction control of the fan; the feedback control module feeds back parameters of the liquid damper and the cable tractor to the site through the wireless signal station, and an optimal control scheme is realized.
Specifically, the weather and wave current parameters generated by the intelligent test module of the digital twin system are fed back to the computer in real time through the wave height meter, the anemograph, the rain gauge and the current meter, and the wave parameters are controlled by adjusting the motion of the wave making plate, and the relation is as follows:
wherein H is wave height, S is wave making plate stroke, k is wave making plate and wave frequency, and H is water depth; wind power is controlled by adjusting the rotating speed of the blower; adjusting the rainfall capacity by adjusting the water pressure of the rain making device; the flow speed and the flow direction are adjusted by adjusting the power and the distribution position of the water suction pump and the water suction pump, and the wave absorption area is arranged at the downstream of the water pool to reduce the influence of backflow and improve the test precision.
In particular, the liquid damper is provided with a wave height instrumentThe liquid level height of the liquid damper is adjusted by the bidirectional water pump, so that the natural frequency of the liquid damper is consistent with the shaking frequency of the floating fan, and the optimal damping effect is achieved; natural frequency omega of liquid damper 0 Expressed as:
in the formula, A v And A h Respectively the cross-sectional areas of the vertical and horizontal U-shaped pipes, L v And L h The lengths of the vertical liquid column and the horizontal liquid column at the initial moment in the TLMCD are respectively, and g is the gravity acceleration.
Specifically, the cable retractor adjusts the length of the cable under the control of an intelligent system, continuously trains by itself to obtain the optimal cable length under the current sea condition, and provides the optimal cable length for the floating type fan to recover torque so as to ensure the stability of the fan platform.
Furthermore, the wave making plate of the environment simulation test system adjusts the wave direction and the wind direction angle through a rotating device, the air blower controls the wind direction angle and the height through a crane, and the flow direction is adjusted by starting the water suction pumps and the water suction pumps at different positions.
Compared with the prior art, the invention has the following advantages and beneficial effects:
according to the floating type fan real-time monitoring and intelligent control system based on the digital twinning and the environmental test, the working state of the floating type fan is digitalized through the digital twinning technology, the running state of the floating type fan is monitored at any time, and the running and maintenance cost is reduced; the sea condition of the fan is scaled by utilizing the environment simulation, so that technicians can conveniently and visually know the environment of the fan under different climatic conditions, and the reliability of the commercial operation planning is improved; the environment prediction module predicts the sea condition in the future time through machine learning and warns the extreme stormy wave action which is possibly met, so that the fan enters a survival mode in advance to avoid damage; the intelligent test module automatically adjusts the storm parameters for testing, training and learning are continuously carried out by utilizing the predicted storm conditions, the optimized damper parameters and the cable control scheme are obtained, and labor cost is greatly saved; and the optimized parameters are fed back to the site to realize more effective vibration control of the floating fan, so that the safety of a mooring system and the service life of the floating fan are ensured.
Drawings
Fig. 1 is an overall schematic view of an environment simulation system according to an embodiment of the present invention.
FIG. 2 is a schematic top view of an environmental simulation system according to an embodiment of the present invention.
FIG. 3 is a schematic view of the interior of a fan scale model according to an embodiment of the present invention.
Fig. 4 is a schematic structural diagram of a floating fan real-time monitoring and intelligent control system based on digital twins and environmental tests.
In the figure, 1-six-component instrument, 2-tension sensor, 3-strain gauge, 4-wave height instrument, 5-anemometer, 6-rain gauge, 7-current meter, 8-wireless signal station, 9-liquid damper, 10-cable tractor, 11-wave making plate, 12-blower, 13-rain making device, 14-water suction pump, 15-water pump, 16-blower scale model, 17-computer, 18-bidirectional water pump, 19-data integrator and 20-cable.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
As shown in fig. 4, the floating fan real-time monitoring and intelligent control system based on the digital twin and the environmental test comprises a field detection system, a digital twin system and an environmental simulation system, and realizes double reproduction of a digital and a physical model of the actual operation state of the floating fan. The floating fan is provided with a liquid damper 9 and a cable retractor 10.
The on-site detection system is geometrically similar to a fan reduced scale model in a laboratory, the arrangement of measuring instruments is also kept consistent, the on-site detection system is used for monitoring the amount of exercise, a mooring system, structural stress, wave conditions and wind power levels of the floating fan in an actual working environment, and comprises a fan state detection module with a six-component instrument, a tension sensor and a strain gauge and a sea state environment detection module with a wave height instrument, a wind speed instrument, a rain gauge and a current meter. The fan state detection module acquires fan displacement and rotation data by using a six-component instrument, acquires mooring force data by using a tension sensor, and acquires strain quantity of a local position by using a strain gauge; the sea condition environment detection module acquires wave parameters by using a wave height meter, acquires wind speed and wind direction by using a wind speed meter, acquires rainfall by using a rain gauge and acquires flow speed and flow direction by using a current meter, and transmits the running state and environment data of the fan to the digital twinning system through the wireless signal station 8.
The power of the on-site detection system is supplied by the self-generated power of the fan, and meanwhile, a solar battery is arranged as a standby power supply.
The digital twin system comprises a real-time monitoring module, an environment prediction module, an intelligent test module and a feedback control module, provides real-time three-dimensional reproduction of the floating type fan, and can visually display the motion response, the mooring system, the structural stress strain and the wind, wave and rain environmental conditions of the fan, so that the personnel can make decisions conveniently. The real-time monitoring module constructs a three-dimensional structure and an environment digital model of the floating type fan, so that technicians can conveniently and visually know the state of the fan and the field environment condition; the environment prediction module forecasts sea condition information (wind, wave and flow) in a future period of time according to field wind and wave data by using a machine learning technology, and takes the information as an input condition of a model test; the process of the intelligent test module is completely controlled by an intelligent system, and the system continuously learns and adjusts the liquid level in the liquid damper 9 and the length of the cable tractor 10 through test data so as to obtain the optimal solution of the fan vibration reduction control; the feedback control module feeds back the parameters of the liquid damper 9 and the cable retractor 10 to the site through the wireless signal station 8, so as to realize the optimal control scheme.
The produced wind and rain of intelligent test module and wave current parameter can feed back to computer 17 through wave height appearance 4, anemoscope 5, pluviometer 6 and velocity meter 7 in real time to control the wave parameter through adjusting the wave making board 11 motion, its relation is:
wherein H is wave height, S is wave making plate stroke, k is wave making plate and wave frequency, and H is water depth; wind power is controlled by adjusting the rotating speed of the blower 12; the rainfall is adjusted by adjusting the water pressure of the rain making device 13; by adjusting the power of the water suction pump 14 and the water suction pump 15The distribution position adjusts the flow rate and the flow direction, and a wave absorption area 21 is arranged at the lower reaches of the water pool to reduce the influence of backflow and improve the test precision.
As shown in figure 3, the liquid damper 9 in the fan scale model 16 is provided with the wave height instrument 4 and the two-way water pump 18 to adjust the liquid level height of the liquid damper 9, so that the natural frequency of the liquid damper 9 is consistent with the shaking frequency of the floating fan to achieve the optimal damping effect, and the natural frequency omega of the damper 0 Expressed as:
in the formula, A v And A h Respectively the cross-sectional areas of the vertical and horizontal U-shaped pipes, L v And L h The lengths of the vertical liquid column and the horizontal liquid column at the initial moment in the TLMCD are respectively, and g is the gravity acceleration.
The intelligent system controls the cable tractor 8 to adjust the length of the cable, continuously trains itself to obtain the optimal cable length under the current sea condition, provides the floating type fan with the restoring torque, and ensures the stability of the fan platform.
The intelligent control system carries out real-time correction through data measured by a model test, and the test precision is ensured.
The intelligent system continuously learns and adjusts the liquid level in the liquid damper 9 and the length of the cable retractor 10 to obtain an optimal solution for fan damping control.
The intelligent test module obtains the optimal control strategy of platform stabilization through the environment simulation test system, and then feeds back the optimal control strategy to the field control system for stabilization and vibration suppression of the actual floating type fan, the whole process does not need personnel participation, and the intelligent test module can carry out all-weather learning and training.
The feedback control module applies the optimal solution to the actual field to realize the optimal control scheme.
The environment prediction module predicts the wind wave load in a future period of time which is about 24-48 hours through the deep neural network, and the more the historical data of the wind wave, the higher the prediction accuracy.
As shown in fig. 1 and 2, the environmental simulation test system according to the embodiment of the present invention includes a fan reduced scale model 16 in a laboratory and related measuring equipment, wherein the fan reduced scale model 16 is fixed in water through a cable 20, and the measuring equipment is consistent with the field, and includes a six-component meter 1, a tension sensor 2, a strain gauge 3, a wave height meter 4, an anemometer 5, a rain gauge 6 and a current meter 7. After the fan model is installed by personnel, the test is completely carried out by the intelligent test module. The intelligent system simulates the field wind, rain and wave flow environment by adjusting the wave making plate 11, the blower 12, the rain making device 13, the water suction pump 14 and the water suction pump 15, and all measured data are summarized to the calculator 17 through the data integrator 19. And parameters are corrected through an intelligent system to keep the parameters similar to the field environment.
The wave direction and the wind direction angle of the wave making plate 11 are adjusted through the rotating device 22, the wind direction angle and the height of the blower 12 are controlled through the crane, and the flow direction is adjusted by starting the water suction pump 14 and the water suction pump 15 at different positions.
In conclusion, the floating type fan real-time monitoring and intelligent control system based on the digital twinning and the environmental test digitizes the working state of the floating type fan through the digital twinning technology, monitors the running state of the floating type fan at any time, and reduces the operation and maintenance cost; the sea condition of the fan is scaled by utilizing environmental simulation, so that technicians can more intuitively know the environment of the fan under different climatic conditions, and the reliability of commercial operation planning is improved; the environment prediction module predicts the sea condition in the future time through machine learning and warns the extreme stormy wave action which is possibly met, so that the fan enters a survival mode in advance to avoid damage; the intelligent test module automatically adjusts the storm parameters for testing, training and learning are continuously carried out by utilizing the predicted storm conditions, the optimized damper parameters and the cable control scheme are obtained, and labor cost is greatly saved; and after the optimized parameters are fed back to the site, more effective vibration control of the floating fan is realized, and the safety of a mooring system and the service life of the floating fan are ensured.
Claims (8)
1. A floating type fan real-time monitoring and intelligent control system based on digital twins and environmental tests is characterized by comprising an on-site detection system, a digital twins system and an environmental simulation system, wherein the floating type fan is provided with a liquid damper (9) and a cable retractor (10);
the field detection system is used for monitoring the amount of motion, a mooring system, structural stress, wave conditions and wind power levels of the floating type fan in an actual working environment, and comprises a fan state detection module with a six-component instrument, a tension sensor and a strain gauge and a sea state environment detection module with a wave height instrument, a wind speed instrument, a rain gauge and a current meter;
the digital twin system comprises a real-time monitoring module, an environment prediction module, an intelligent test module and a feedback control module, provides real-time three-dimensional reproduction of the floating type fan, and can visually display the motion response of the fan, a mooring system, the structural stress strain and the environmental conditions of wind, wave and rain, so that personnel can make decisions conveniently;
the environment simulation test system comprises a fan reduced scale model (16) in a laboratory and measuring equipment, wherein the fan reduced scale model (16) is fixed in water through a cable (20), and the measuring equipment is consistent with a field and comprises a six-component instrument (1), a tension sensor (2), a strain gauge (3), a wave height instrument (4), an anemograph (5), a rain gauge (6) and a current meter (7); after the fan scale model (16) is installed, the floating fan real-time monitoring and intelligent control system simulates the field wind and rain and wave flow environment by adjusting the wave making plate (11), the air blower (12), the rain making device (13), the water suction pump (14) and the water suction pump (15), all measured data are collected to the calculator (17) through the data integrator (19), parameters are corrected through the intelligent system to be similar to the field environment, and double reproduction of the digital and physical models of the actual operation state of the field floating fan is realized.
2. The floating type fan real-time monitoring and intelligent control system based on the digital twin and the environmental test is characterized in that a fan state detection module of the on-site detection system utilizes a six-component instrument to acquire fan displacement and rotation data, a tension sensor to acquire mooring force data, and a strain gauge to acquire strain quantity of a local position; the sea condition environment detection module acquires wave parameters by using a wave height meter, acquires wind speed and wind direction by using an anemometer, acquires rainfall by using a rain gauge, and acquires flow speed and flow direction by using a current meter; therefore, the running state and the environmental data of the fan are transmitted to the digital twin system through the wireless signal station (8).
3. The floating type fan real-time monitoring and intelligent control system based on the digital twin and the environmental test is characterized in that the on-site detection system supplies power by the self-generation of the fan, and is provided with a solar cell as a standby power supply.
4. The floating type fan real-time monitoring and intelligent control system based on the digital twin and the environmental test is characterized in that the digital twin system and the real-time monitoring module thereof construct a three-dimensional structure and an environmental digital model of the on-site floating type fan, so that the on-site fan state and the surrounding environment condition can be conveniently and visually known; the environment prediction module predicts wind, wave and current sea condition information in a future period of time according to field wind and wave data by using a machine learning technology, and takes the information as an input condition of a model test; the intelligent test module is controlled by an intelligent system, and the system continuously learns and adjusts the liquid level in the liquid damper (9) and the length of the cable tractor (10) through test data so as to obtain the optimal solution of the fan vibration reduction control; the feedback control module feeds back parameters of the liquid damper (9) and the cable tractor (10) to the site through the wireless signal station (8), so that an optimal control scheme is realized.
5. The system for real-time monitoring and intelligent control of a floating wind turbine based on digital twin and environmental test as claimed in claim 1 or 4, wherein the parameters of wind, rain and wave flow generated by the intelligent test module of the digital twin system are fed back to the computer (17) in real time through the wave height meter (4), the wind velocity meter (5), the rain gauge (6) and the current meter (7), and the wave parameters are controlled by adjusting the motion of the wave making plate (11) according to the relationship:
wherein H is wave height, S is wave making plate stroke, and k is wave makingPlate and wave frequency, h is water depth; the wind power is controlled by adjusting the rotating speed of the blower (12); the rainfall is adjusted by adjusting the water pressure of the rain making device (13); the flow speed and the flow direction are adjusted by adjusting the power and the distribution position of the water suction pump (14) and the water suction pump (15), and the wave absorption area (21) is arranged at the downstream of the water pool to reduce the influence of backflow and improve the test precision.
6. The floating fan real-time monitoring and intelligent control system based on the digital twin and the environmental test is characterized in that the liquid damper (9) is provided with a wave height gauge (4) and a bidirectional water pump (18) to adjust the liquid level height of the liquid damper (9), so that the natural frequency of the liquid damper (9) is consistent with the shaking frequency of the floating fan to achieve the optimal damping effect; natural frequency omega of liquid damper 0 Expressed as:
in the formula, A v And A h Respectively the cross-sectional areas of the vertical and horizontal U-shaped pipes, L v And L h The lengths of the vertical liquid column and the horizontal liquid column at the initial moment in the TLMCD are respectively, and g is the gravity acceleration.
7. The floating fan real-time monitoring and intelligent control system based on digital twins and environmental tests as claimed in claim 1, wherein the cable retractor (10) adjusts the length of the cable under the control of the intelligent system, continuously trains itself to obtain the optimal cable length under the current sea condition, and provides the floating fan with a restoring torque to ensure the stability of the fan platform.
8. The floating type fan real-time monitoring and intelligent control system based on the digital twin and the environmental test is characterized in that the environmental simulation test system is characterized in that a wave making plate (11) of the environmental simulation test system adjusts wave direction and wind direction angles through a rotating device (22), a blower (12) controls the wind direction angles and heights through a crane, and the flow direction is adjusted by starting a water suction pump (14) and a water suction pump (15) at different positions.
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| CN117054043A (en) * | 2023-10-11 | 2023-11-14 | 国家海洋技术中心 | Test device for offshore floating photovoltaic power generation system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117054043A (en) * | 2023-10-11 | 2023-11-14 | 国家海洋技术中心 | Test device for offshore floating photovoltaic power generation system |
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