A safety monitoring system for offshore wind power foundation structure

Abstract

The application discloses a kind of offshore wind power foundation structure safety monitoring systems, it is related to safety monitoring technical field.The pedestal monitoring module, cable monitoring module, environmental monitoring module, data transmission module and summary module are included, the output of pedestal monitoring module, the output of cable monitoring module and the output of environmental monitoring module are all connected with the input of data transmission module, the output of data transmission module is connected with the input of summary module;Data transmission module is used for transmitting monitoring data of each monitoring module to the shore;Pedestal monitoring module is used for monitoring the internal state of wind power pedestal;Cable monitoring module is used for monitoring the state of cable itself;Environmental monitoring module is used for monitoring the environmental state around wind power;Summary module carries out data preprocessing to the data obtained by transmission, carries out parameter prediction based on cleaned data, judges the state of wind turbine.The application is helpful to obtain the running condition of wind turbine in time.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of safety monitoring, in particular to a safety monitoring system for offshore wind power foundation structure. BACKGROUND

[0002] Wind energy as a clean and renewable new energy, in recent years, gradually get the attention of people. Because of the rich sea wind resources, with large power generation, power generation time long, not land, can be large-scale development advantages, wind power technology is gradually extended from land to sea. Offshore wind turbine has become a world renewable energy development field of hot spot, the monitoring of prior art is considered one parameter one parameter, but only in a structure to set monitoring, monitoring information accuracy is low, and the monitoring information is not diversified enough, if monitoring failure, the security risk is larger.

[0003] Therefore, the safety monitoring system for offshore wind power foundation structure is proposed to solve the problem of data processing and low monitoring information accuracy in the prior art, which is a problem that needs to be solved by those skilled in the art. SUMMARY

[0004] Therefore, the safety monitoring system for offshore wind power foundation structure is proposed to solve the problem of data processing and low monitoring information accuracy in the prior art, which is a problem that needs to be solved by those skilled in the art.

[0005] In order to achieve the above purpose, the present application adopts the following technical scheme:

[0006] The safety monitoring system for offshore wind power foundation structure comprises a base monitoring module, a cable monitoring module, an environment monitoring module, a data transmission module and a summary module, the output end of the base monitoring module, the output end of the cable monitoring module and the output end of the environment monitoring module are connected with the input end of the data transmission module, and the output end of the data transmission module is connected with the input end of the summary module.

[0007] The data transmission module comprises a cloud unit and a submarine optical fiber unit, and is used for transmitting monitoring data of each monitoring module to the shore.

[0008] The base monitoring module is used for monitoring the internal state of the wind power base.

[0009] The cable monitoring module is used for monitoring the state of the cable itself.

[0010] The environment monitoring module is used for monitoring the state of the environment around the wind power.

[0011] The summary module performs data preprocessing on the transmitted data, performs parameter prediction based on the cleaned data, and judges the state of the wind turbine.

[0012] The system, optionally, the data transmission module further comprises a cloud unit, a submarine optical fiber unit and a data storage unit, the cloud unit and the submarine optical fiber unit are connected in parallel with the data storage unit.

[0013] The data transmission module transmits data at intervals.

[0014] The system, optionally, the base monitoring module comprises a level meter, a stress sensor and a pressure sensor; the environment monitoring module comprises sea wave frequency monitoring, water surface foreign matter monitoring and climate monitoring; the base monitoring module and the environment monitoring module transmit the monitored data to the data storage unit.

[0015] The system, optionally, the data storage unit is further used for storing offshore wind turbine data and submarine cable data.

[0016] The system, optionally, data preprocessing in the summary module comprises data cleaning and data integration.

[0017] The system, optionally, in the summary module, parameter prediction comprises running state prediction and life prediction.

[0018] According to the technical scheme, compared with the prior art, the offshore wind power foundation structure safety monitoring system is provided, the offshore wind power foundation is safely monitored through comprehensive analysis of multiple parameters, the optical fiber communication is introduced, the system can still monitor and transmit data in a network interruption state, real-time monitoring of each component parameter of the offshore wind turbine is realized, the running condition can be known in time, maintenance treatment is performed according to the running condition, greater economic loss caused by greater damage is avoided. BRIEF DESCRIPTION OF DRAWINGS

[0019] In order to more clearly illustrate the technical scheme in the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or the prior art description will be briefly introduced below. Obviously, the drawings in the following description are only embodiments of the present application, and those skilled in the art can obtain other drawings according to the provided drawings without creative labor.

[0020] Figure 1 A block diagram of the offshore wind power foundation structure safety monitoring system disclosed by the present application is provided.

[0021] Figure 2 A parameter prediction flowchart disclosed by the present application is provided. DETAILED DESCRIPTION

[0022] With reference to the drawings of the embodiments of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described, obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work belong to the scope of protection of the present application.

[0023] In the present application, the relationship terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between the entities or operations, the term "include", "contain" or any other variant thereof is intended to cover non-exclusive inclusion, so that the process, method, article or equipment including a series of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to such process, method, article or equipment. Without more limitation, the element defined by the sentence "including a…" does not exclude the presence of other identical elements in the process, method, article or equipment including the element.

[0024] Referring to Figure 1 As shown in the drawings, the present application discloses a kind of offshore wind power foundation structure safety monitoring system, including pedestal monitoring module, cable monitoring module, environmental monitoring module, data transmission module and summary module, pedestal monitoring module, cable monitoring module and environmental monitoring module are sequentially connected with data transmission module, summary module;

[0025] Data transmission module includes cloud unit and submarine optical fiber unit, for monitoring data of each monitoring module is transmitted to shore;

[0026] Pedestal monitoring module is used to monitor the internal state of wind power pedestal;

[0027] Cable monitoring module is used to monitor the state of cable itself;

[0028] Environmental monitoring module is used to monitor the state of wind power surrounding environment;

[0029] Summary module, data preprocessing is carried out to the data obtained by transmission, parameter prediction is carried out based on cleaned data, and wind turbine state is judged.

[0030] Further, data transmission module further includes cloud unit, submarine optical fiber unit and data storage unit, cloud unit and submarine optical fiber unit are connected with data storage unit in parallel;

[0031] Data transmission module transmits data at intervals.

[0032] Further, the wireless communication mode adopted by the cloud unit in the data transmission module includes microwave communication and satellite communication. The microwave communication is point-to-point or point-to-multipoint communication through microwave transmitters and receivers arranged in the wind farm. The satellite communication is long-distance communication through a satellite terminal by arranging signal transmitting and receiving devices. The submarine optical fiber unit communicates by using optical fibers arranged in the submarine cable system. The data storage unit is used to store the monitoring data unit information.

[0033] Further, the base monitoring module includes a level meter, a stress sensor and a pressure sensor. The environmental monitoring module includes sea wave frequency monitoring, water surface foreign matter monitoring and climate monitoring. The base monitoring module and the environmental monitoring module transmit the monitored data to the data storage unit.

[0034] Further, the level meter includes a level meter dial and a pointer. The level meter dial is provided with scale bars. The angle between every two scale bars is 1°, and the resistance is 1Ω. When the pointer rotates, it can contact and slide on the scale bars. When the wind power base tilts, the resistance increases, the current decreases, and the tilt amplitude of the base is determined according to the recorded current value. The stress sensor is placed inside the base. When the base tilts, the material stress increases, the sensor records the value change, and the stress change is recorded. The pressure sensor is placed on the surface of the base and is used to measure the seawater pressure. When typhoons, tsunamis and other severe weather come, the seawater pressure increases, and the water pressure change is recorded. The sea wave frequency monitoring is to measure the average wave height and the average wave period by using a wave spectrum buoy system. The wave spectrum buoy system can also be used to measure water quality and marine hydrology. The water surface foreign matter monitoring adopts an ultrasonic sensor arranged at the base. The sensor emits ultrasonic waves outward. When an obstacle is monitored, the ultrasonic waves are reflected, the ultrasonic waves are received by a receiving probe, and the position information of the obstacle is obtained.

[0035] Specifically, each part of the sensor needs to be installed at the specified position before the base is launched into the water, such as the structure high stress area and the fatigue critical position.

[0036] Further, the data storage unit is also used to store offshore wind turbine data and submarine cable data.

[0037] Specifically, the wind turbine data includes blade, transmission chain and generator data of the group, which is directly obtained by the built-in processor of the manufacturer. The submarine cable data is obtained by using a multimode optical fiber sensor and a grating optical fiber sensor.

[0038] Further, the data storage unit transmits the monitoring information to the summary module every 1-2 hours. When the fluctuation amplitude of the data information is large, the monitoring information is transmitted in real time, which is not limited by time.

[0039] Further, the data preprocessing in the summary module includes data cleaning and data integration.

[0040] Further, the data cleaning includes eliminating error data and filling missing data; the data integration includes combining the base monitoring data set, the cable monitoring data set and the environment monitoring data set into an overall data set.

[0041] Specifically, in the data cleaning, the elimination of error data adopts the 3σ principle, specifically: Wherein μ is the average value, σ is the standard deviation, when the data is not in (μ-3σ, μ+3σ), it is judged as abnormal data, and the data is eliminated; when the data set is sufficient, the missing data is deleted to ensure the data set data integrity; when the data set is insufficient, the filling method is adopted to ensure the data set integrity; the nearest neighbor difference value method is adopted to find the closest data in the database for interpolation, specifically based on the Euclidean distance between the calculation objects.

[0042] In the data integration, the combination into a single data set includes eliminating redundancy and combining data, wherein the redundant data corresponding to the nominal attribute can be judged by the chi-square correlation test, specifically: Wherein, i is the number of rows, j is the number of columns, o is the actual frequency, e is the theoretical frequency, and for numerical attribute redundant data, the correlation coefficient and covariance are used to evaluate the correlation between attributes.

[0043] Further, in the summary module, the parameter prediction includes running state prediction and life prediction.

[0044] Further, referring to Figure 2 The parameter prediction process includes: inputting the data set, synchronously performing running single item scoring and life prediction on the data in the data set, when either the single item scoring value or the life prediction value is lower than the threshold value, directly outputting the single item scoring value and the life prediction value; when the numerical range does not exceed the threshold value, assigning weights to each numerical value according to the running single item numerical value, obtaining the single item scoring value weight, generating the running state prediction, judging the state of the life prediction value, generating the life evaluation, recording and outputting the running state prediction and the life evaluation data.

[0045] Further, the running state prediction includes constructing a judgment system, using the judgment system to evaluate the data stored in the data storage unit to obtain single item scores, positively processing the single item scores to construct a positive matrix, standardizing the positive matrix and calculating the information entropy, and constructing a scoring model by normalizing operation.

[0046] Further, the judgment system includes national standards and expert scores, and the calculation of information entropy includes constructing a probability matrix by using the entropy weight method, i.e. obtaining the information weight of different indexes, and constructing a scoring model.

[0047] Specifically, the single item score is positively transformed, i.e., all indicators are converted into maximum indicators, a matrix is generated by processing the maximum indicators, the proportion of the i-th sample under the j-th indicator is calculated, and the proportion is regarded as a probability used in the relative entropy calculation, the information entropy of each indicator is calculated, and the entropy weight of each indicator is normalized.

[0048] Further, the life prediction method specifically comprises:

[0049] Obtain the corrosion degradation data, fatigue degradation data and impact load history data of the base; wherein the base corrosion degradation data and fatigue degradation data are based on the base monitoring data, and the impact load history data is based on the environmental monitoring module, including the historical impact strength data and the historical impact frequency data; a corrosion degradation prediction model, a fatigue degradation prediction model and an impact load prediction model are respectively constructed, the prediction models are coupled into a three-dimensional prediction model based on the Copula function, and the life prediction is obtained based on the three-dimensional prediction model.

[0050] Specifically, the corrosion degradation prediction model comprises obtaining a base prediction degradation function based on a gamma process, estimating the parameters of the base prediction degradation function by using an EM algorithm and an unscented particle filtering algorithm in combination with the corrosion degradation history data of the base, obtaining a corrosion degradation process model, the fatigue degradation prediction model comprises simulating the degradation trajectory of the component by using a Monte Carlo method, and obtaining the fatigue degradation prediction model by analyzing the simulation results by using a statistical method; the impact load prediction model comprises constructing a random process model of base impact load failure by using a Poisson process; and the parameters of the random process model of base impact load failure are estimated by using an expectation maximization algorithm to obtain the impact load prediction model.

[0051] Each of the embodiments in the specification is described in a progressive manner, and the same and similar parts between the embodiments can be referred to each other, and each embodiment mainly describes the difference from other embodiments. Especially, for the system or system embodiment, since it is basically similar to the method embodiment, it is described more simply, and the related parts can be referred to the part of the method embodiment. The system and system embodiment described above are only illustrative, wherein the units described as separate components can be or can not be physically separated, and the components displayed as units can be or can not be physical units, i.e., they can be located in one place, or can be distributed on multiple network units. Part or all of the modules can be selected to achieve the purpose of the embodiment according to the actual needs. Those skilled in the art can understand and implement without creative labor.

[0052] The foregoing description of the disclosed embodiments enables a person skilled in the art to make or use the application. Modifications of these embodiments will occur to persons of skill in the art, and that the appended claims are intended to cover all such modifications that do not depart from the true spirit and scope of the application. Therefore, the application is not limited to the embodiments shown but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. An offshore wind power foundation structure safety monitoring system, characterized by, The base monitoring module, the cable monitoring module, the environment monitoring module, the data transmission module and the summary module, the output end of the base monitoring module, the output end of the cable monitoring module and the output end of the environment monitoring module are connected with the input end of the data transmission module, the output end of the data transmission module is connected with the input end of the summary module; The data transmission module is used for transmitting the monitoring data of each monitoring module to the shore; The base monitoring module is used for monitoring the internal state of the wind power base; The cable monitoring module is used for monitoring the state of the cable itself; The environment monitoring module is used for monitoring the state of the environment around the wind power; The summary module is used for data preprocessing of the transmitted data, parameter prediction based on the processed data, and wind turbine state judgment; In the summary module, the parameter prediction includes operation state prediction and life prediction, The parameter prediction process includes: inputting the data set, synchronously performing operation single item scoring and life prediction on the data in the data set, directly outputting the single item scoring value and the life prediction value when any one of the single item scoring value and the life prediction value is lower than the threshold value, when the value range does not exceed the threshold value, assigning weights to each value according to the operation single item value, obtaining the single item scoring value weight, generating the operation state prediction, judging the state of the life prediction value, generating the life evaluation, and recording and outputting the operation state prediction and the life evaluation data; The operation state prediction includes constructing an evaluation system, using the evaluation system to respectively evaluate the data stored in the data storage unit to obtain single item scores, positively processing the single item scores to construct a positive matrix, standardizing the positive matrix and calculating information entropy, and constructing a scoring model through normalization operation; The evaluation system includes national standards and expert scores, and the calculation of information entropy includes constructing a probability matrix by using an entropy weight method, that is, obtaining different index information weights, and constructing a scoring model; The positive processing of the single item scores is to convert all indexes into maximum indexes, process the maximum indexes to generate a matrix, calculate the proportion of the i th sample under the j th index, and regard it as a probability used in relative entropy calculation, calculate the information entropy of each index, and normalize the entropy weight of each index.

2. The offshore wind power foundation structure safety monitoring system according to claim 1, wherein The data transmission module further comprises a cloud unit, a submarine optical fiber unit and a data storage unit, and the cloud unit and the submarine optical fiber unit are connected with the data storage unit; The data transmission module transmits data at intervals.

3. The offshore wind power foundation structure safety monitoring system according to claim 2, wherein The base monitoring module comprises a level meter, a stress sensor and a pressure sensor; the environment monitoring module comprises sea wave frequency monitoring, water surface foreign matter monitoring and climate monitoring; the base monitoring module and the environment monitoring module transmit the monitored data to the data storage unit of the data transmission module.

4. The offshore wind power foundation structure safety monitoring system according to claim 2, wherein The data storage unit is further used for storing offshore wind turbine data and submarine cable data.

5. The offshore wind power foundation structure safety monitoring system according to claim 1, wherein The data preprocessing in the aggregation module includes data cleaning and data integration.

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