CN116877355B - Method, device, equipment and medium for monitoring state of offshore wind power structure - Google Patents
Method, device, equipment and medium for monitoring state of offshore wind power structure Download PDFInfo
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- CN116877355B CN116877355B CN202311010358.8A CN202311010358A CN116877355B CN 116877355 B CN116877355 B CN 116877355B CN 202311010358 A CN202311010358 A CN 202311010358A CN 116877355 B CN116877355 B CN 116877355B
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Abstract
The invention discloses a method, a device, equipment and a medium for monitoring the state of an offshore wind power structure, which comprise the following steps: acquiring monitoring data corresponding to a plurality of monitoring devices arranged on the offshore wind power structure, and judging whether the monitoring data corresponding to the plurality of monitoring devices are abnormal; when monitoring data corresponding to monitoring devices exceeding the target number in the plurality of monitoring devices are abnormal, a key image data set of a plurality of key image acquisition positions on the offshore wind power structure is called; determining the current total working condition of the offshore wind power structure according to the key image data set; and determining whether the data abnormality exists in the monitoring data corresponding to the monitoring devices exceeding the target number in the monitoring devices according to the total current working condition of the offshore wind power structure. The invention can monitor the state of the offshore wind power structure, and also can determine whether the abnormal data of the monitoring equipment is normal or not by combining the working conditions, so that unnecessary early warning triggering times can be reduced.
Description
Technical Field
The invention relates to the technical field of offshore power generation, in particular to a method, a device, equipment and a medium for monitoring the state of an offshore wind power structure.
Background
The safety monitoring of the offshore wind power structure refers to research and analysis on the aspects of environment, structural system, material performance, equipment state and the like of the offshore wind power structure in the whole life cycle of installation, operation and maintenance of the offshore wind power structure.
In the related art, the method mainly relies on analyzing and processing monitoring data of a plurality of monitoring devices arranged on the offshore wind power structure to determine the current running state of the offshore wind power structure. However, the mode only depends on the longitudinal change rule of the monitoring data to determine whether the data has larger fluctuation, but the environment where the offshore wind power structure is located is neglected to be changeable, and the changeable environment can cause fluctuation influence on the monitoring data of the monitoring equipment arranged on the offshore wind power structure, so that false alarm is triggered. Therefore, the related art has a problem that the state of the offshore wind power structure cannot be accurately monitored.
Disclosure of Invention
According to the method, the device, the equipment and the medium for monitoring the state of the offshore wind power structure, the technical problem that the state of the offshore wind power structure cannot be accurately monitored in the prior art is solved, the state of the offshore wind power structure is accurately monitored, and the technical effect of normal operation of the offshore wind power structure is guaranteed.
In a first aspect, the present application provides a method for monitoring a state of an offshore wind power structure, the method comprising:
acquiring monitoring data corresponding to a plurality of monitoring devices arranged on the offshore wind power structure, and judging whether the monitoring data corresponding to the plurality of monitoring devices are abnormal;
when monitoring data corresponding to monitoring devices exceeding the target number in the plurality of monitoring devices are abnormal, a key image data set of a plurality of key image acquisition positions on the offshore wind power structure is called;
determining the current total working condition of the offshore wind power structure according to the key image data set;
according to the total current working condition of the offshore wind power structure, whether the data abnormality exists in the monitoring data corresponding to the monitoring devices exceeding the target number in the monitoring devices is determined to be normal, and whether the offshore wind power structure is in a normal state is further determined.
Further, the method further comprises:
when the monitoring data corresponding to the monitoring devices which do not exceed the target number in the plurality of monitoring devices are abnormal, target image data corresponding to the distribution positions of the target monitoring devices with the abnormal data are called;
determining sub-working conditions corresponding to the layout positions of the target monitoring devices according to the target image data corresponding to the target monitoring devices;
and determining whether the data abnormality of each target monitoring device is normal or not according to the sub-working condition corresponding to the layout position of each target monitoring device.
Further, determining a sub-working condition corresponding to the layout position of each target monitoring device according to the target image data corresponding to each target monitoring device, including:
and comparing the target image data corresponding to each target monitoring device with the historical image data, and determining the sub-working condition corresponding to the layout position of each target monitoring device.
Further, after determining the current total working condition of the offshore wind structure according to the key image data set, the method further comprises:
determining a plurality of associated monitoring devices which are affected by the current total working condition in the plurality of monitoring devices according to the current total working condition of the offshore wind power structure;
when the monitoring data corresponding to the plurality of associated monitoring devices have data abnormality, prompt information is sent out, and the prompt information is used for representing that the current data abnormality is caused by the current total working condition of the offshore wind power structure.
Further, after determining a plurality of associated monitoring devices of the plurality of monitoring devices that are subject to the current overall operating condition, the method further comprises:
and adjusting alarm threshold levels corresponding to each associated monitoring device in the plurality of associated monitoring devices according to the total current working condition of the offshore wind power structure.
Further, before determining a plurality of associated monitoring devices which are affected by the current total working condition in the plurality of monitoring devices according to the current total working condition of the offshore wind power structure, the method further comprises:
and analyzing the historical abnormal data generated when the offshore wind power structure is in the target total working condition, and marking the monitoring equipment corresponding to the historical abnormal data related to the target total working condition as related monitoring equipment related to the target total working condition.
Further, the method further comprises:
and responding to the field trigger early warning signal, analyzing the monitoring data of the reference monitoring equipment related to the field trigger early warning signal, determining whether the monitoring data of the reference monitoring equipment are abnormal, and further determining the action range of the field trigger early warning signal.
In a second aspect, the present application provides a device for monitoring a state of an offshore wind power structure, the device comprising:
the abnormal data monitoring module is used for acquiring monitoring data corresponding to a plurality of monitoring devices arranged on the offshore wind power structure and judging whether the monitoring data corresponding to the plurality of monitoring devices are abnormal;
the key image acquisition module is used for acquiring a key image data set of a plurality of key image acquisition positions on the offshore wind power structure when the monitoring data corresponding to the monitoring devices exceeding the target number in the plurality of monitoring devices are abnormal;
the working condition determining module is used for determining the total working condition of the current offshore wind power structure according to the key image data set;
the state early warning module is used for determining whether data abnormality exists in monitoring data corresponding to monitoring devices exceeding the target number in the plurality of monitoring devices or not according to the total current working condition of the offshore wind power structure, and further determining whether the offshore wind power structure is in a normal state or not.
In a third aspect, the present application provides an electronic device, including:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to execute to implement an offshore wind farm structure status monitoring method as provided in the first aspect.
In a fourth aspect, the present application provides a non-transitory computer readable storage medium, which when executed by a processor of an electronic device, causes the electronic device to perform a method of implementing a marine wind power structure condition monitoring as provided in the first aspect.
One or more technical solutions provided in the embodiments of the present application at least have the following technical effects or advantages:
according to the method, monitoring data of a plurality of monitoring devices on the offshore wind power structure are identified, when the number of monitoring devices exceeding the target number is abnormal, a key image data set of a key position on the offshore wind power structure is analyzed, the current total working condition of the offshore wind power structure is determined, and whether the phenomenon that the number of monitoring devices exceeding the target number is abnormal is normal or not is determined according to the current total working condition. Therefore, the embodiment can realize real-time monitoring of the state of the offshore wind power structure by identifying whether the monitoring data of the monitoring equipment is abnormal or not; in addition, whether the abnormality of the data of the monitoring equipment is normal is determined by combining the total working condition of the offshore wind power structure, so that whether the abnormality of the monitoring data corresponding to the monitoring equipment needs to be subjected to early warning treatment is determined, unnecessary early warning triggering times can be reduced, the state of the offshore wind power structure can be accurately monitored, and the normal operation of the offshore wind power structure is ensured.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of a method for monitoring the state of an offshore wind power structure;
FIG. 2 is a schematic structural diagram of a marine wind power structure state monitoring device provided by the application;
fig. 3 is a schematic structural diagram of an electronic device provided in the present application.
Detailed Description
The embodiment of the application solves the technical problem that the state of the offshore wind power structure cannot be accurately monitored in the prior art by providing the state monitoring method for the offshore wind power structure.
The technical scheme of the embodiment of the application aims to solve the technical problems, and the overall thought is as follows:
a method for monitoring the state of an offshore wind power structure comprises the following steps: acquiring monitoring data corresponding to a plurality of monitoring devices arranged on the offshore wind power structure, and judging whether the monitoring data corresponding to the plurality of monitoring devices are abnormal; when monitoring data corresponding to monitoring devices exceeding the target number in the plurality of monitoring devices are abnormal, a key image data set of a plurality of key image acquisition positions on the offshore wind power structure is called; determining the current total working condition of the offshore wind power structure according to the key image data set; according to the total current working condition of the offshore wind power structure, whether the data abnormality exists in the monitoring data corresponding to the monitoring devices exceeding the target number in the monitoring devices is determined to be normal, and whether the offshore wind power structure is in a normal state is further determined.
According to the method, monitoring data of a plurality of monitoring devices on the offshore wind power structure are identified, when the number of monitoring devices exceeding the target number is abnormal, a key image data set of a key position on the offshore wind power structure is analyzed, the current total working condition of the offshore wind power structure is determined, and whether the phenomenon that the number of monitoring devices exceeding the target number is abnormal is normal or not is determined according to the current total working condition. Therefore, the embodiment can realize real-time monitoring of the state of the offshore wind power structure by identifying whether the monitoring data of the monitoring equipment is abnormal or not; in addition, whether the abnormality of the data of the monitoring equipment is normal is determined by combining the total working condition of the offshore wind power structure, so that whether the abnormality of the monitoring data corresponding to the monitoring equipment needs to be subjected to early warning treatment is determined, unnecessary early warning triggering times can be reduced, the state of the offshore wind power structure can be accurately monitored, and the normal operation of the offshore wind power structure is ensured.
In order to better understand the above technical solutions, the following detailed description will refer to the accompanying drawings and specific embodiments.
First, the term "and/or" appearing herein is merely an association relationship describing associated objects, meaning that there may be three relationships, e.g., a and/or B, may represent: a exists alone, A and B exist together, and B exists alone. In addition, the character "/" herein generally indicates that the front and rear associated objects are an "or" relationship.
The embodiment provides a method for monitoring the state of an offshore wind power structure as shown in fig. 1, which comprises the steps of S11-S14. The method shown in fig. 1 may be applied to a controller on an offshore wind power structure, may be applied to a general console set up at sea, and may of course also be applied to a general console on land, and may specifically be selected according to actual situations, and this embodiment only uses a general console set up at sea as an example for illustration.
Step S11, acquiring monitoring data corresponding to a plurality of monitoring devices arranged on the offshore wind power structure, and judging whether the monitoring data corresponding to the plurality of monitoring devices are abnormal;
step S12, when monitoring data corresponding to monitoring devices exceeding the target number in the plurality of monitoring devices are abnormal, a key image data set of a plurality of key image acquisition positions on the offshore wind power structure is called;
step S13, determining the current total working condition of the offshore wind power structure according to the key image data set;
step S14, determining whether data abnormality exists in monitoring data corresponding to monitoring devices exceeding the target number in the plurality of monitoring devices according to the total current working condition of the offshore wind power structure, and further determining whether the offshore wind power structure is in a normal state.
Regarding step S11, monitoring data corresponding to a plurality of monitoring devices set on the offshore wind power structure is obtained, and whether the monitoring data corresponding to the plurality of monitoring devices has data abnormality is determined.
The offshore wind power structure is in a severe environment, and the severe environment can influence the running state of the offshore wind power structure. In order to be able to monitor various states of the offshore wind power structure, various kinds and numbers of monitoring devices can be arranged on the offshore wind power structure, and continuous monitoring can be performed on the offshore wind power structure through the plurality of monitoring devices.
The above-mentioned various and numerous monitoring devices may refer to monitoring devices that collect data such as displacement, acceleration, stress, etc., and may be, for example, displacement monitoring devices, foundation differential settlement monitoring devices, crack monitoring devices, vibration velocity monitoring devices, vibration displacement monitoring devices, stress monitoring devices, etc.
The collection frequencies of the monitoring data corresponding to the monitoring devices can be the same or different, and the collection frequencies can be specifically set according to actual conditions. After obtaining the monitoring data corresponding to each monitoring device, the master console judges whether the monitoring data corresponding to each monitoring device has data abnormality, and the specific mode can be a single threshold comparison method in the related technology, for example, a preset threshold can be set, and the real-time monitoring value is compared with the preset threshold to determine whether the current monitoring data has data abnormality.
In the process of executing step S11, the number of monitoring devices with data anomalies occurring simultaneously (the simultaneous occurrence means that the monitoring devices exist in a certain time range) is counted, when the number of the monitoring devices does not exceed the target number, the data of the monitoring devices with small range can be considered to be anomalies, and then the surrounding of each monitoring device with data anomalies can be monitored in a targeted manner, and specifically, the method can include steps S111-S113. The target number may be set according to the actual situation, for example, 20.
Step S111, when monitoring data corresponding to monitoring devices which do not exceed the target number in the plurality of monitoring devices are abnormal, target image data corresponding to the layout positions of the target monitoring devices with abnormal data are called;
step S112, determining sub-working conditions corresponding to the layout positions of the target monitoring devices according to the target image data corresponding to the target monitoring devices;
step S113, determining whether the data abnormality of each target monitoring device is normal or not according to the sub-working condition corresponding to the layout position of each target monitoring device.
Under the condition that monitoring data abnormality exists in the monitoring devices which do not exceed the target number, marking each monitoring device with the monitoring data abnormality as a target monitoring device, and calling target image data corresponding to the arrangement position of each target monitoring device, namely calling target image data of the surrounding environment where each target monitoring device is located.
For example, if data anomalies occur at the same time in 3 stress sensors arranged on a certain rod of the offshore wind power structure, an image of the rod (or an area where the 3 stress sensors are shot) is taken as target image data.
And analyzing the target image data corresponding to each target monitoring device, and determining the sub-working condition of the position of each target monitoring device from each target image data. The sub-working conditions corresponding to the arrangement positions of the target monitoring devices can be determined by comparing the target image data corresponding to the target monitoring devices with the historical image data. The historical image data refers to image data corresponding to the target monitoring equipment when no data abnormality occurs. By comparing the target image data with the historical image data, the difference between the two image data can be determined, and then the sub-working condition of the current position of the target monitoring equipment can be determined. The sub-condition may refer to any condition related to the environment, for example, may refer to a condition that a nearby device has personnel being maintained, a condition that a nearby region is carrying goods, a condition that a nearby region has large-scale device being operated, a condition that a nearby region has water pipe bursting, etc.
For example, if the target image data contains a movable large device that is running, and the history image data does not contain a large device or the large device is not running, then comparing the two images makes it clear that the data abnormality of the target monitoring device is likely to be caused by the large device running.
The method for analyzing the comparison target image data and the history image data may be any method capable of performing image analysis, and specific reference may be made to the related art, and details thereof will not be repeated here.
For another example, data abnormality occurs in 3 stress sensors of a certain rod piece at the same time, target image data and historical image data corresponding to the rod piece are analyzed, and it is determined that large-scale equipment is running in a current nearby area shown in the target image data, and the stress sensors are caused to have data abnormality by severe vibration in the running process of the large-scale equipment.
After the sub-working conditions corresponding to the positions of the target monitoring devices are obtained, whether the data abnormality of the target monitoring devices is normal or not can be determined, if the sub-working conditions cause the data abnormality in a short period, the phenomenon is normal, and if the sub-working conditions are not related to the current data abnormality, the phenomenon is abnormal. For example, data abnormality occurs at 3 stress sensors of a certain rod piece at the same time, and corresponding sub-working conditions are that large equipment is running in a nearby area, so that the stress of the 3 stress sensors of the rod piece is abnormal due to vibration of the large equipment, that means that the abnormality occurs at the 3 stress sensors, which is not caused by abnormal operation of an offshore wind power structure, and early warning information is not required to be sent, and the triggering probability of false alarm is greatly reduced. The data of 3 stress sensors of a certain rod piece are abnormal at the same time, and the stress data of 3 stress sensors can be changed when other normal working conditions are not nearby, so that the phenomenon that the 3 stress sensors are abnormal is not normal is probably caused by abnormal operation of an offshore wind power structure, early warning information or alarm information is required to be sent at the moment, and related staff are reminded of timely intervening in the abnormal phenomenon.
In the process of executing step S11, the number of monitoring devices that are abnormal in data that occur simultaneously (the simultaneous occurrence means that the monitoring devices exist within a certain time range) is counted, when the number of the monitoring devices exceeds the target number, the data that can be regarded as the monitoring devices in a large range are abnormal, and it is likely that the whole offshore wind power structure encounters an abnormal event in a large area, and step S12 can be continuously executed at this time.
Regarding step S12, when there is a data abnormality in the monitoring data corresponding to more than the target number of monitoring devices among the plurality of monitoring devices, a key image dataset of a plurality of key image acquisition positions on the offshore wind power structure is retrieved.
The key image acquisition position may be a position corresponding to a key region where the offshore wind power structure may be affected by external environment, and may be specifically set according to actual situations. For example, the image acquisition position of the berthing ship can be the image acquisition position of sea surface sea waves in all directions on the offshore wind power structure, the key heavy image acquisition position of the offshore wind power structure and the like.
When the monitoring data corresponding to the monitoring devices exceeding the target number are abnormal, the large-area range of the offshore wind power structure is abnormal, and the situation is usually caused by the phenomena of sea wave environment, berthing, heavy problems of the structure and the like. When the large-area monitoring equipment has data abnormality, the key image data sets of the key image acquisition positions are preferentially fetched, and the step S13 is continuously executed.
With respect to step S13, the current total working condition of the offshore wind structure is determined according to the key image dataset.
The total working conditions in which the offshore wind power structure is currently located may include: due to the working conditions of large-area influence on the offshore wind power structure caused by heavy problems and the like in the sea wave environment, berthing and the structure.
And analyzing the key image data set to determine the current total working condition of the offshore wind power structure, namely determining whether the offshore wind power structure is in a state of being in a berthing state or a state of large wind and large wave and the like, which has influence on the large-area range of the offshore wind power structure.
For example, analysis of the key image dataset shows that a large ship is ready to stop at the side of the offshore wind power structure, which means that the abnormal data of the current large-area monitoring equipment of the offshore wind power structure is mainly caused by the ship stopping, so that the large-area monitoring equipment does not need to enter an alarm state, and false alarms are avoided.
Regarding step S14, according to the current total working condition of the offshore wind power structure, it is determined whether the monitoring data corresponding to the monitoring devices exceeding the target number in the plurality of monitoring devices are abnormal, and further it is determined whether the offshore wind power structure is in a normal state.
After determining the current total working condition of the offshore wind power structure, whether the abnormal monitoring equipment exceeding the target number appears on the offshore wind power structure belongs to a normal phenomenon or not can be determined according to the current total working condition. At this time, whether the abnormal monitoring devices exceeding the target number are normal or not can be primarily judged directly according to the type of the current total working condition, but the accuracy is lower. More preferably, whether the current total working condition is matched with the abnormality of the monitoring devices exceeding the target number or not can be further determined, if the current total working condition is matched with the abnormality of the monitoring devices exceeding the target number, the fact that the abnormality of the monitoring devices exceeding the target number is caused by the current total working condition does not need to send an alarm prompt; if the two are not matched, the condition that the monitoring devices exceeding the target number are abnormal is not caused by the current total working condition, and an alarm prompt needs to be sent.
Specifically, it is determined whether the current total working condition matches with the "abnormality of the monitoring devices exceeding the target number", and the following steps S141 and S142 may be adopted.
Step S141, determining a plurality of associated monitoring devices which are affected by the current total working condition in the plurality of monitoring devices according to the current total working condition of the offshore wind power structure;
in step S142, when the monitoring data corresponding to the plurality of associated monitoring devices has data anomalies, a prompt message is sent, where the prompt message is used to characterize that the current data anomalies are caused by the current total working conditions of the offshore wind power structure.
According to the working condition type of the current total working condition of the offshore wind power structure, a plurality of associated monitoring devices corresponding to the working condition type can be inquired. The associated monitoring device corresponding to each working condition type can be determined according to the abnormal data corresponding to the marine wind power structure encountering the corresponding working condition type in the past time, specifically, a plurality of different working condition types are respectively used as target total working conditions, and the following steps are respectively executed:
and analyzing the historical abnormal data generated when the offshore wind power structure is in the target total working condition, and marking the monitoring equipment corresponding to the historical abnormal data related to the target total working condition as related monitoring equipment related to the target total working condition.
And aiming at each target total working condition, acquiring all abnormal data corresponding to the target total working condition of the offshore wind power structure in the past, analyzing all abnormal data through a big data analysis technology, selecting specific abnormal data which is caused by the target total working condition from all abnormal data, and marking monitoring equipment corresponding to the specific abnormal data as associated monitoring equipment related to the target total working condition. In actual operation, the same reference sign can be set for the associated monitoring equipment belonging to the same target total working condition. After the step S13 is performed, a target mark symbol is determined according to the current total working condition of the offshore wind power structure, and the associated monitoring device corresponding to the current total working condition is selected from the plurality of monitoring devices according to the target mark symbol.
When the monitoring data corresponding to the plurality of associated monitoring devices are abnormal, the data abnormality at the moment can be considered to be probably caused by the current total working condition of the offshore wind power structure, and then relevant prompt information can be sent out to remind relevant staff of the offshore wind power structure that the current data abnormality is caused by the current total working condition of the offshore wind power structure, and the abnormality is not caused by the monitored object of the offshore wind power structure. It should be noted that prompt information is sent at this time, but not alarm information, so that on one hand, the current state of the staff on the offshore wind power structure can be reminded to be a normal state through the prompt information, and on the other hand, the relevant staff can be prevented from repeatedly patrolling the relevant monitoring equipment and the monitored object thereof, and time and energy are saved.
After determining a plurality of associated monitoring devices which are affected by the current total working condition of the plurality of monitoring devices, the alarm threshold level corresponding to each associated monitoring device in the plurality of associated monitoring devices can be adjusted according to the current total working condition of the offshore wind power structure.
The data abnormality of the plurality of associated monitoring devices is caused by the total current working condition, and in order to avoid triggering an alarm, the alarm threshold level corresponding to each associated monitoring device in the plurality of associated monitoring devices can be adjusted.
For example, when a ship is parked on the offshore wind power structure, the ship can shake the offshore wind power structure, related stress, vibration and other data can be abnormal, and at the moment, corresponding stress early warning values and vibration early warning values can be improved, so that unnecessary early warning is prevented from being sent out in the process of the ship being parked on the offshore wind power structure.
For another example, in the process of generating the high-rise hurricane on the sea, the early warning threshold value of part of the relevant monitoring equipment can be increased step by step, so that unnecessary frequent warning caused by the high-rise hurricane is avoided.
In summary, in this embodiment, the monitoring data of the plurality of monitoring devices on the offshore wind power structure are identified, when the number of monitoring devices exceeding the target number is abnormal, the key image dataset of the key position on the offshore wind power structure is analyzed, the current total working condition of the offshore wind power structure is determined, and whether the phenomenon that the number of monitoring devices exceeding the target number is abnormal is normal or not is determined according to the current total working condition. Therefore, the embodiment can realize real-time monitoring of the state of the offshore wind power structure by identifying whether the monitoring data of the monitoring equipment is abnormal or not; in addition, whether the abnormality of the data of the monitoring equipment is normal is determined by combining the total working condition of the offshore wind power structure, so that whether the abnormality of the monitoring data corresponding to the monitoring equipment needs to be subjected to early warning treatment is determined, unnecessary early warning triggering times can be reduced, the state of the offshore wind power structure can be accurately monitored, and the normal operation of the offshore wind power structure is ensured.
The above scheme mainly includes analyzing the monitoring data of each monitoring device, and determining whether the current phenomenon is a normal phenomenon by combining the image data when the monitoring data is abnormal, in addition, the embodiment also provides another scheme, specifically, generating a field triggering early warning signal by a field inspection personnel, and analyzing the monitoring data of each monitoring device, which specifically includes the following steps:
and responding to the field trigger early warning signal, analyzing the monitoring data of the reference monitoring equipment related to the field trigger early warning signal, determining whether the monitoring data of the reference monitoring equipment are abnormal, and further determining the action range of the field trigger early warning signal.
When the inspector finds that the site is abnormal, the on-site trigger early warning signal can be generated through a terminal carried by the inspector or on-site signal generating equipment. And if the master console receives the field trigger early warning signal, analyzing the monitoring data of the reference monitoring equipment related to the position to determine whether the reference monitoring equipment has data abnormality. When the reference monitoring equipment has no data abnormality, the influence range of the current site abnormality is smaller, and the site abnormality is only required to be processed. When the reference monitoring device has data abnormality, the current field abnormality has a larger influence range, and comprehensive analysis may be required to process the field abnormality.
In summary, the embodiment may also timely feed back the abnormal phenomenon to the master console by using the on-site inspection manner, analyze the data of the monitoring devices around the abnormal phenomenon by using the master console, determine the scope of the abnormal phenomenon, and make a solution as soon as possible according to the scope of the abnormal phenomenon, thereby improving the processing speed and the processing effect of the abnormal phenomenon.
Based on the same inventive concept, the embodiment provides a device for monitoring the state of an offshore wind power structure as shown in fig. 2, which comprises:
the abnormal data monitoring module 21 is configured to obtain monitoring data corresponding to a plurality of monitoring devices set on the offshore wind power structure, and determine whether the monitoring data corresponding to the plurality of monitoring devices has data abnormality;
the key image retrieving module 22 is configured to retrieve a key image dataset of a plurality of key image acquisition positions on the offshore wind power structure when data anomalies exist in monitoring data corresponding to more than a target number of monitoring devices among the plurality of monitoring devices;
the working condition determining module 23 is used for determining the total working condition of the current offshore wind power structure according to the key image data set;
the state early warning module 24 is configured to determine whether data anomalies exist in monitoring data corresponding to more than a target number of monitoring devices among the plurality of monitoring devices according to a total current working condition of the offshore wind power structure, so as to determine whether the offshore wind power structure is in a normal state.
Further, the device also comprises a target image calling module for:
when the monitoring data corresponding to the monitoring devices which do not exceed the target number in the plurality of monitoring devices are abnormal, target image data corresponding to the distribution positions of the target monitoring devices with the abnormal data are called;
determining sub-working conditions corresponding to the layout positions of the target monitoring devices according to the target image data corresponding to the target monitoring devices;
and determining whether the data abnormality of each target monitoring device is normal or not according to the sub-working condition corresponding to the layout position of each target monitoring device.
Further, the target image calling module is used for:
and comparing the target image data corresponding to each target monitoring device with the historical image data, and determining the sub-working condition corresponding to the layout position of each target monitoring device.
Further, the apparatus further comprises an association monitoring module for:
after determining the current total working condition of the offshore wind power structure according to the key image data set, determining a plurality of associated monitoring devices which are affected by the current total working condition in the plurality of monitoring devices according to the current total working condition of the offshore wind power structure;
when the monitoring data corresponding to the plurality of associated monitoring devices have data abnormality, prompt information is sent out, and the prompt information is used for representing that the current data abnormality is caused by the current total working condition of the offshore wind power structure.
Further, the apparatus further comprises a threshold adjustment module for:
after determining a plurality of associated monitoring devices which are affected by the current total working condition of the offshore wind power structure, adjusting alarm threshold levels corresponding to the associated monitoring devices according to the current total working condition of the offshore wind power structure.
Further, the device also comprises a calibration module for:
before determining a plurality of associated monitoring devices which are affected by the current total working condition in the plurality of monitoring devices according to the current total working condition of the offshore wind power structure, analyzing historical abnormal data generated by the offshore wind power structure in the target total working condition, and marking the monitoring device corresponding to the historical abnormal data associated with the target total working condition as the associated monitoring device related to the target total working condition.
Further, the device also comprises a field early warning module for:
and responding to the field trigger early warning signal, analyzing the monitoring data of the reference monitoring equipment related to the field trigger early warning signal, determining whether the monitoring data of the reference monitoring equipment are abnormal, and further determining the action range of the field trigger early warning signal.
Based on the same inventive concept, the present embodiment provides an electronic device as shown in fig. 3, including:
a processor 31;
a memory 32 for storing instructions executable by the processor 31;
wherein the processor 31 is configured to execute to implement an offshore wind farm structure status monitoring method as provided above.
Based on the same inventive concept, the present embodiment provides a non-transitory computer readable storage medium, which when executed by the processor 31 of the electronic device, enables the electronic device to perform a method of implementing an offshore wind farm structure state monitoring as provided above.
Since the electronic device described in this embodiment is an electronic device used to implement the method of information processing in this embodiment, those skilled in the art will be able to understand the specific implementation of the electronic device and various modifications thereof based on the method of information processing described in this embodiment, so how the method of this embodiment is implemented in this electronic device will not be described in detail herein. The electronic device used by those skilled in the art to implement the information processing method in the embodiments of the present application falls within the scope of protection intended by the present application.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (5)
1. A method for monitoring the state of an offshore wind power structure, the method comprising:
acquiring monitoring data corresponding to a plurality of monitoring devices arranged on an offshore wind power structure, and judging whether the monitoring data corresponding to the plurality of monitoring devices are abnormal;
when monitoring data corresponding to monitoring devices exceeding the target number in the plurality of monitoring devices are abnormal, a key image data set of a plurality of key image acquisition positions on the offshore wind power structure is called;
determining the current total working condition of the offshore wind power structure according to the key image data set;
determining whether data abnormality exists in monitoring data corresponding to monitoring devices exceeding a target number in the plurality of monitoring devices according to the total current working condition of the offshore wind power structure, and further determining whether the offshore wind power structure is in a normal state;
when the monitoring data corresponding to the monitoring devices which do not exceed the target number in the plurality of monitoring devices are abnormal, target image data corresponding to the distribution positions of the target monitoring devices with the abnormal data are called;
comparing the target image data corresponding to each target monitoring device with the historical image data, and determining the sub-working condition corresponding to the layout position of each target monitoring device;
determining whether the data abnormality of each target monitoring device is normal or not according to the sub-working condition corresponding to the layout position of each target monitoring device;
determining a plurality of associated monitoring devices which are affected by the current total working condition in the plurality of monitoring devices according to the current total working condition of the offshore wind power structure; analyzing historical abnormal data generated when the offshore wind power structure is in a target total working condition, and marking monitoring equipment corresponding to the historical abnormal data related to the target total working condition as related monitoring equipment related to the target total working condition;
when the monitoring data corresponding to the plurality of associated monitoring devices have data abnormality, prompt information is sent out, and the prompt information is used for representing that the current data abnormality is caused by the current total working condition of the offshore wind power structure;
and after determining a plurality of associated monitoring devices which are affected by the current total working condition of the offshore wind power structure, adjusting alarm threshold levels corresponding to the associated monitoring devices in the plurality of associated monitoring devices according to the current total working condition of the offshore wind power structure.
2. The method of claim 1, wherein the method further comprises:
and responding to the field trigger early warning signal, analyzing the monitoring data of the reference monitoring equipment related to the field trigger early warning signal, and determining whether the monitoring data of the reference monitoring equipment are abnormal or not, so as to determine the action range of the field trigger early warning signal.
3. An offshore wind farm structure state monitoring device for implementing a method of offshore wind farm structure state monitoring according to any of claims 1 to 2, the device comprising:
the abnormal data monitoring module is used for acquiring monitoring data corresponding to a plurality of monitoring devices arranged on the offshore wind power structure and judging whether the monitoring data corresponding to the plurality of monitoring devices are abnormal;
the key image acquisition module is used for acquiring key image data sets of a plurality of key image acquisition positions on the offshore wind power structure when the monitoring data corresponding to the monitoring devices exceeding the target number in the plurality of monitoring devices are abnormal;
the working condition determining module is used for determining the total working condition of the current offshore wind power structure according to the key image data set;
and the state early warning module is used for determining whether the monitoring data corresponding to the monitoring devices exceeding the target number in the plurality of monitoring devices are abnormal or not according to the total current working condition of the offshore wind power structure, and further determining whether the offshore wind power structure is in a normal state or not.
4. An electronic device, comprising:
a processor;
a memory for storing the processor-executable instructions;
wherein the processor is configured to execute to implement an offshore wind farm structure status monitoring method as claimed in any of claims 1 to 2.
5. A non-transitory computer readable storage medium, which when executed by a processor of an electronic device, causes the electronic device to perform a method of implementing an offshore wind farm structure status monitoring according to any of claims 1 to 2.
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