CN113110246A - Offshore wind power generation infrastructure safety monitoring device - Google Patents
Offshore wind power generation infrastructure safety monitoring device Download PDFInfo
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- CN113110246A CN113110246A CN202110538167.3A CN202110538167A CN113110246A CN 113110246 A CN113110246 A CN 113110246A CN 202110538167 A CN202110538167 A CN 202110538167A CN 113110246 A CN113110246 A CN 113110246A
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- offshore wind
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
- G05B19/0428—Safety, monitoring
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/24—Pc safety
- G05B2219/24024—Safety, surveillance
Abstract
The invention discloses a safety monitoring device for an offshore wind power generation infrastructure, which comprises: the system comprises a data acquisition device, a data transmission device, a remote data processing terminal and a cloud storage; the data acquisition device is respectively connected with the remote data processing terminal and the cloud storage through the data transmission device, and the cloud storage is connected with the remote data processing terminal; the data acquisition device is used for acquiring monitoring data of the offshore wind power generation infrastructure in real time; the data transmission device is used for transmitting the data acquired by the data acquisition device to the remote data processing terminal and the cloud storage; the cloud storage is used for storing the data collected by the data collection device and historical monitoring data of the offshore wind power generation infrastructure; and the remote data processing terminal identifies the risk level of the offshore wind power generation infrastructure based on Bi-LSTM. The invention can quickly and accurately monitor the safety of the offshore wind power generation infrastructure.
Description
Technical Field
The invention relates to the technical field of operation and maintenance of offshore wind power generation equipment, in particular to a safety monitoring device for an offshore wind power generation infrastructure.
Background
At present, the economic development speed of China is very fast, and meanwhile, the demand for energy is increased. Wind energy is a stable and clean renewable energy source since ancient times, and is paid much attention to, researched, developed and utilized by people today when environmental pollution is increased and greenhouse effect is severe. Wind power plants are regarded as modern technologies which are recognized globally and used for reducing environmental pollution, relieving the crisis of petrochemical energy supply and promoting the growth of low-carbon economy, and are valued and accepted by countries in the world.
Due to the complex external environmental factors on the sea and the internal quality factors in the manufacturing process, the long-term stability of the operation of the booster station and the wind turbine foundation in the offshore wind power generation industry is greatly challenged; the reliability of the infrastructure is of high interest to the industry during the full life cycle of offshore wind power infrastructure operation. An offshore wind farm is usually arranged in a section with rich wind energy resources, but the section with rich wind energy resources is also a region with high typhoon, and a fan needs to bear different wind influences; meanwhile, due to the complexity of seabed terrain, the foundation of the offshore pile is easy to settle and incline; in addition, the offshore wind power generation infrastructure is corroded by seawater for a long time, and the bearing capacity is reduced due to the influence of the corrosion. Offshore wind power generation in China is often influenced by severe natural environment, complex geographical positions, difficult transportation and the like, and the operation and maintenance cost is too high, so that intelligent safety monitoring on offshore wind power generation infrastructures is imperative.
Disclosure of Invention
The invention aims to provide a safety monitoring device for an offshore wind power generation infrastructure, which aims to solve the technical problems in the prior art and can quickly and accurately monitor the safety of the offshore wind power generation infrastructure.
In order to achieve the purpose, the invention provides the following scheme: the invention provides a safety monitoring device for an offshore wind power generation infrastructure, which comprises: the system comprises a data acquisition device, a data transmission device, a remote data processing terminal and a cloud storage; the data acquisition device is respectively connected with the remote data processing terminal and the cloud storage through the data transmission device, and the cloud storage is connected with the remote data processing terminal;
the data acquisition device is used for acquiring monitoring data of the offshore wind power generation infrastructure in real time;
the data transmission device is used for transmitting the data acquired by the data acquisition device to the remote data processing terminal and the cloud storage;
the cloud storage is used for storing the data collected by the data collection device and historical monitoring data of the offshore wind power generation infrastructure;
and the remote data processing terminal identifies the risk level of the offshore wind power generation infrastructure based on Bi-LSTM.
Preferably, the data acquisition device includes but is not limited to a bidirectional inclinometer, a steel plate stress gauge, an earth pressure gauge, a static leveling instrument, an osmometer and a piezoelectric sensor;
the bidirectional inclinometer is used for acquiring inclination angle data of the offshore wind power generation infrastructure; the steel plate stress meter is used for collecting stress change data of a steel structure in the offshore wind power generation infrastructure; the soil pressure gauge is used for collecting the variable quantity of the soil pressure in the offshore wind power generation infrastructure; the static leveling gauge is used for collecting the settlement of the offshore wind power generation infrastructure; the osmometer is used for collecting the water pressure of the offshore wind power generation infrastructure; the piezoelectric sensor is used for acquiring whether bolts of the offshore wind power generation infrastructure are loosened.
Preferably, the data transmission device comprises a first communication module, a processing module and a second communication module which are connected in sequence; the first communication module is connected with the data acquisition device, and the second communication module is respectively connected with the remote data processing terminal and the cloud storage; the data transmission device also comprises a power supply module, wherein the power supply module is respectively connected with the first communication module, the processing module and the second communication module and is used for providing electric energy;
the processing module is used for carrying out format conversion on data acquired by a plurality of different data acquisition devices, and is also used for adding numbers and timestamps to the data acquired by the different data acquisition devices.
Preferably, the processing module comprises a plurality of input interfaces, one or a plurality of output interfaces; the input interface is used for matching data acquired by different data acquisition devices; the output interface is used for outputting the data processed by the processing module.
Preferably, the first communication module adopts one or more of a ZigBee wireless transmission module and a WiFi wireless transmission module, and the second communication module adopts a WiFi wireless transmission module.
Preferably, the cloud storage stores data in a structured storage manner.
Preferably, the Bi-LSTM includes an input layer, a forward transfer layer, a backward transfer layer, a full connection layer, and an output layer, the input layer is connected to the forward transfer layer and the backward transfer layer, the forward transfer layer and the backward transfer layer are connected to the full connection layer, and the full connection layer is connected to the output layer.
Preferably, the backward transmission layer is further connected with a convolution layer, and the backward transmission layer is connected with the full connection layer through the convolution layer.
Preferably, the remote data processing terminal is further connected with a weather forecast system for obtaining a wind power level, and the remote data processing terminal performs a safety trend prediction based on the wind power level and a safety level of the offshore wind power generation infrastructure.
The invention discloses the following technical effects:
the invention provides a safety monitoring device for an offshore wind power generation infrastructure, which is characterized in that each parameter of the offshore wind power generation infrastructure is acquired in real time through a data acquisition device, and after the acquisition, the data is subjected to format conversion, added with serial numbers and timestamps through a data transmission device and then transmitted to a remote data processing terminal for safety grade identification and transmitted to a cloud storage for data storage; the remote data processing terminal identifies the safety level of the offshore wind power generation infrastructure through Bi-LSTM, can comprehensively consider the correlation before and after data, and realizes quick and accurate identification of the risk level; the real-time monitoring data stored in the cloud storage comprise serial number data, a structured storage mode is adopted for storing the data, when safety abnormity is monitored, operation and maintenance personnel can quickly and accurately search abnormal positions based on the serial numbers and maintain the offshore wind power generation infrastructure, and loss caused by damage of the facility and the facility maintenance cost are reduced to the maximum extent.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
FIG. 1 is a schematic structural view of an offshore wind power generation infrastructure safety monitoring device according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
Referring to fig. 1, the present embodiment provides an offshore wind power generation infrastructure safety monitoring device, including:
the system comprises a data acquisition device, a data transmission device, a remote data processing terminal and a cloud storage; the data acquisition device is respectively connected with the remote data processing terminal and the cloud storage through the data transmission device, and the cloud storage is connected with the remote data processing terminal;
the data acquisition device is used for acquiring monitoring data of the offshore wind power generation infrastructure in real time, and comprises but is not limited to a bidirectional inclinometer, a steel plate stress meter, a soil pressure meter, a static level meter, a osmometer and a piezoelectric sensor;
the bidirectional inclinometer is arranged on the tower top and the tower base of the offshore wind power generation infrastructure and used for acquiring inclination angle data of the offshore wind power generation infrastructure; the bidirectional inclinometer is an acceleration sensor applying the inertia principle, when the inclination sensor is static, namely, the side surface and the vertical direction have no acceleration effect, and the included angle between the gravity vertical axis and the sensitive axis of the acceleration sensor is the inclination angle.
The steel plate stress meter is arranged on a steel structure in the offshore wind power generation infrastructure and is used for acquiring stress change data of the steel structure in the offshore wind power generation infrastructure;
the soil pressure gauge is arranged in the offshore wind power generation infrastructure and used for collecting the variation of soil pressure in the offshore wind power generation infrastructure;
the static leveling gauge is arranged inside the offshore wind power generation infrastructure and used for collecting the settlement of the offshore wind power generation infrastructure;
the osmometer is arranged at the pore position of the offshore wind power generation infrastructure and is used for collecting the water pressure of the offshore wind power generation infrastructure;
the piezoelectric sensor is arranged at a bolt of the offshore wind power generation infrastructure and used for acquiring whether the bolt of the offshore wind power generation infrastructure is loosened.
The data transmission device is used for transmitting the data acquired by the data acquisition device to the remote data processing terminal and the cloud storage; the data transmission device comprises a first communication module, a processing module and a second communication module which are connected in sequence; the first communication module is connected with the data acquisition device, and the second communication module is respectively connected with the remote data processing terminal and the cloud storage; the data transmission device also comprises a power supply module, wherein the power supply module is respectively connected with the first communication module, the processing module and the second communication module and is used for providing electric energy; the first communication module is used for transmitting the data acquired by the data acquisition device to the processing module; the processing module comprises a plurality of input interfaces and one or a plurality of output interfaces, and the input interfaces are used for matching data acquired by different data acquisition devices; the processing module is used for carrying out format conversion on the data acquired by the different data acquisition devices, and the processing module is used for realizing the unification of the data formats due to the different data formats acquired by the different data acquisition devices; the processing module is also used for adding numbers and timestamps to the data acquired by different data acquisition devices, packaging and transmitting the data to the output interface; the serial numbers comprise unit serial numbers and measurement serial numbers, so that abnormal positions can be found quickly when the monitoring state is abnormal, and efficient maintenance of offshore wind power generation infrastructures is achieved; the output interface is used for outputting the processed data; the second communication module is used for transmitting the data processed by the processing module to the remote data processing terminal and the cloud storage.
The cloud storage is used for storing the data acquired by the data acquisition device and historical monitoring data of the offshore wind power generation infrastructure, the cloud storage adopts a structured storage mode to store the data, management of mass monitoring data is facilitated, and when a safety monitoring result is abnormal, the data can be conveniently searched.
The remote data processing terminal is used for identifying the risk level of the offshore wind power generation infrastructure;
the remote data processing terminal adopts a Bi-LSTM to carry out risk level identification on the offshore wind power generation infrastructure, the Bi-LSTM comprises an input layer, a forward transfer layer, a backward transfer layer, a full connection layer and an output layer, the input layer is respectively connected with the forward transfer layer and the backward transfer layer, the backward transfer layer is respectively connected with a convolution layer, the forward transfer layer and the convolution layer are respectively connected with the full connection layer, the full connection layer is connected with the output layer, and the output layer is connected with a Softmax classifier; the input layer is used for inputting the characteristic vectors of all the parameters; the forward transfer layer and the backward transfer layer are respectively used for acquiring the characteristic information of each parameter from the front to the back and from the back; the convolution layer enhances the characteristics of each parameter through convolution operation and reduces noise; the full connection layer is used for splicing the feature information extracted by the forward transmission layer and the backward transmission layer to form a new feature parameter vector; and the output layer is used for transmitting the new characteristic parameter vector to a Softmax classifier and outputting the safety level of the offshore wind power generation infrastructure.
The method for training the Bi-LSTM comprises the following steps: firstly, carrying out data normalization processing on historical monitoring data to eliminate the influence on an identification result caused by the inconsistency of dimensions of different types of data; secondly, extracting a feature vector based on the historical monitoring data after normalization processing; and thirdly, inputting the Bi-LSTM through the extracted feature vector, and training the Bi-LSTM.
Furthermore, the first communication module adopts one or more of a ZigBee wireless transmission module and a WiFi wireless transmission module, and the second communication module adopts a WiFi wireless transmission module; ZigBee is a wireless network protocol for low-speed short-distance transmission, has the characteristics of low speed, low power consumption, low cost, support of a large number of network nodes and support of various network topologies, is safe and reliable in data transmission, and is suitable for data transmission in severe and complex environments in the sea. The WiFi coverage range is wide, the transmission speed is high, and data processed by the processing module can be transmitted to the remote data processing terminal and the cloud storage quickly and remotely.
Furthermore, the remote data processing terminal is also connected with a weather forecasting system and used for acquiring the wind power level and predicting the safety trend based on the wind power level and the safety level of the offshore wind power generation infrastructure.
Furthermore, the remote data processing terminal is also connected with an early warning device, and the early warning device sends early warning information to a preset mobile terminal based on the safety trend prediction result; the method for sending the early warning information to the preset mobile terminal includes but is not limited to short messages and telephone calls.
The invention has the following technical effects:
the invention provides a safety monitoring device for an offshore wind power generation infrastructure, which is characterized in that each parameter of the offshore wind power generation infrastructure is acquired in real time through a data acquisition device, and after the acquisition, the data is subjected to format conversion, added with serial numbers and timestamps through a data transmission device and then transmitted to a remote data processing terminal for safety grade identification and transmitted to a cloud storage for data storage; the remote data processing terminal identifies the safety level of the offshore wind power generation infrastructure through Bi-LSTM, can comprehensively consider the correlation before and after data, and realizes quick and accurate identification of the risk level; the real-time monitoring data stored in the cloud storage comprise serial number data, a structured storage mode is adopted for storing the data, when safety abnormity is monitored, operation and maintenance personnel can quickly and accurately search abnormal positions based on the serial numbers and maintain the offshore wind power generation infrastructure, and loss caused by damage of the facility and the facility maintenance cost are reduced to the maximum extent.
The above-described embodiments are merely illustrative of the preferred embodiments of the present invention, and do not limit the scope of the present invention, and various modifications and improvements of the technical solutions of the present invention can be made by those skilled in the art without departing from the spirit of the present invention, and the technical solutions of the present invention are within the scope of the present invention defined by the claims.
Claims (9)
1. An offshore wind power generation infrastructure safety monitoring device, comprising: the system comprises a data acquisition device, a data transmission device, a remote data processing terminal and a cloud storage; the data acquisition device is respectively connected with the remote data processing terminal and the cloud storage through the data transmission device, and the cloud storage is connected with the remote data processing terminal;
the data acquisition device is used for acquiring monitoring data of the offshore wind power generation infrastructure in real time;
the data transmission device is used for transmitting the data acquired by the data acquisition device to the remote data processing terminal and the cloud storage;
the cloud storage is used for storing the data collected by the data collection device and historical monitoring data of the offshore wind power generation infrastructure;
and the remote data processing terminal identifies the risk level of the offshore wind power generation infrastructure based on Bi-LSTM.
2. An offshore wind power infrastructure safety monitoring device, according to claim 1, characterized by the data acquisition devices including but not limited to bi-directional inclinometers, steel plate stressometers, earth pressure gauges, static level gauges, osmometers, piezoelectric sensors;
the bidirectional inclinometer is used for acquiring inclination angle data of the offshore wind power generation infrastructure; the steel plate stress meter is used for collecting stress change data of a steel structure in the offshore wind power generation infrastructure; the soil pressure gauge is used for collecting the variable quantity of the soil pressure in the offshore wind power generation infrastructure; the static leveling gauge is used for collecting the settlement of the offshore wind power generation infrastructure; the osmometer is used for collecting the water pressure of the offshore wind power generation infrastructure; the piezoelectric sensor is used for acquiring whether bolts of the offshore wind power generation infrastructure are loosened.
3. The offshore wind power generation infrastructure safety monitoring device of claim 1, wherein the data transmission device comprises a first communication module, a processing module, a second communication module connected in sequence; the first communication module is connected with the data acquisition device, and the second communication module is respectively connected with the remote data processing terminal and the cloud storage; the data transmission device also comprises a power supply module, wherein the power supply module is respectively connected with the first communication module, the processing module and the second communication module and is used for providing electric energy;
the processing module is used for carrying out format conversion on data acquired by a plurality of different data acquisition devices, and is also used for adding numbers and timestamps to the data acquired by the different data acquisition devices.
4. Offshore wind power infrastructure safety monitoring device according to claim 3, characterized in that said processing module comprises several input interfaces, one or several output interfaces; the input interface is used for matching data acquired by different data acquisition devices; the output interface is used for outputting the data processed by the processing module.
5. The offshore wind power generation infrastructure safety monitoring device of claim 3, wherein the first communication module employs one or more of a ZigBee wireless transmission module and a WiFi wireless transmission module, and the second communication module employs a WiFi wireless transmission module.
6. The offshore wind power infrastructure safety monitoring device of claim 1, wherein the cloud storage is configured to store data in a structured storage manner.
7. The offshore wind power infrastructure safety monitoring device of claim 1, wherein the Bi-LSTM comprises an input layer, a forward transfer layer, a backward transfer layer, a full connectivity layer, an output layer, the input layer being connected to the forward transfer layer and the backward transfer layer, respectively, the forward transfer layer and the backward transfer layer being connected to the full connectivity layer, respectively, the full connectivity layer being connected to the output layer.
8. An offshore wind power infrastructure safety monitoring device, according to claim 7, characterized by said backward transfer layer being further connected with a convolutional layer, said backward transfer layer being connected with said full connection layer through said convolutional layer.
9. The offshore wind power generation infrastructure safety monitoring device of claim 1, wherein said remote data processing terminal is further connected to a weather forecast system for obtaining a wind power level, said remote data processing terminal performing a safety trend prediction based on said wind power level and a safety level of said offshore wind power generation infrastructure.
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114666352A (en) * | 2022-03-01 | 2022-06-24 | 中国华能集团清洁能源技术研究院有限公司 | Offshore wind power equipment monitoring data processing method and equipment |
CN114812873A (en) * | 2022-03-25 | 2022-07-29 | 北京千尧新能源科技开发有限公司 | Adjustable monitoring system for offshore wind power foundation |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105222879A (en) * | 2015-09-17 | 2016-01-06 | 重庆市华驰交通科技有限公司 | The long-range self-diagnosable system of complicated dynamic weighing sensing network and self-diagnosing method thereof |
CN106988335A (en) * | 2017-03-20 | 2017-07-28 | 天津大学 | A kind of compound barrel-shaped foundation sinking posture feedback control system |
CN206772282U (en) * | 2017-06-12 | 2017-12-19 | 中国三峡新能源有限公司 | Offshore wind power foundation absolute settlement monitoring device |
CN112734131A (en) * | 2021-01-22 | 2021-04-30 | 国家电投集团四川电力有限公司 | Fan blade icing state prediction method based on deep learning algorithm |
-
2021
- 2021-05-18 CN CN202110538167.3A patent/CN113110246A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105222879A (en) * | 2015-09-17 | 2016-01-06 | 重庆市华驰交通科技有限公司 | The long-range self-diagnosable system of complicated dynamic weighing sensing network and self-diagnosing method thereof |
CN106988335A (en) * | 2017-03-20 | 2017-07-28 | 天津大学 | A kind of compound barrel-shaped foundation sinking posture feedback control system |
CN206772282U (en) * | 2017-06-12 | 2017-12-19 | 中国三峡新能源有限公司 | Offshore wind power foundation absolute settlement monitoring device |
CN112734131A (en) * | 2021-01-22 | 2021-04-30 | 国家电投集团四川电力有限公司 | Fan blade icing state prediction method based on deep learning algorithm |
Non-Patent Citations (3)
Title |
---|
居治华: "基于反向卷积的BI-LSTM语音识别", 《软件导刊》 * |
张绍华: "《大数据指令与服务》", 31 January 2016, 上海科学技术出版社 * |
王小虎: "《计算机多媒体技术(第二版)》", 31 October 2018, 中国铁道出版社 * |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114666352A (en) * | 2022-03-01 | 2022-06-24 | 中国华能集团清洁能源技术研究院有限公司 | Offshore wind power equipment monitoring data processing method and equipment |
CN114812873A (en) * | 2022-03-25 | 2022-07-29 | 北京千尧新能源科技开发有限公司 | Adjustable monitoring system for offshore wind power foundation |
CN114812873B (en) * | 2022-03-25 | 2023-08-04 | 北京千尧新能源科技开发有限公司 | A monitoring system with adjustable be used for marine wind-powered electricity generation basis |
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