Early warning method and device for floating ice around offshore photovoltaic pile, storage medium and electronic equipment

Abstract

The invention provides an early warning method for floating ice around an offshore photovoltaic pile, an early warning device for floating ice around the offshore photovoltaic pile, a computer readable storage medium and electronic equipment, and relates to the technical field of engineering safety. The early warning method for floating ice around the offshore photovoltaic pile comprises the steps that infrared floating ice images, collected according to a preset frequency, of the periphery of a pipe pile in an offshore photovoltaic area at night are acquired, and an infrared floating ice image sequence is obtained; according to the infrared floating ice image sequence, the trend characteristic value of floating ice fragments on the periphery of the pipe pile along with time change is determined; determining a floating ice fragment identification result around the tubular pile based on the trend characteristic value; and executing floating ice early warning operation according to the floating ice fragment identification result. According to the invention, the labor cost of early warning judgment can be reduced.

Description

Technical Field

[0001] The present disclosure relates to the field of engineering safety technology, and in particular to a method for early warning of floating ice around offshore photovoltaic piles, an early warning device for floating ice around offshore photovoltaic piles, a computer-readable storage medium, and an electronic device. Background Art

[0002] In the offshore photovoltaic sector, pile-based photovoltaics (PWP) utilizes pipe piles on the sea surface to support photovoltaic modules, thereby utilizing the vast expanse of the ocean surface for solar power generation. This type of structure is currently the mainstream offshore photovoltaic structure, at least in part addressing the issue of limited land resources.

[0003] In offshore photovoltaic scenarios, low sea surface temperatures may lead to the formation of floating ice. This is especially true in areas with strong currents and winds. The floating ice around the pipe piles can break and split, forming small blocks or fragments of floating ice. The presence of floating ice can affect the normal operation and power generation efficiency of the photovoltaic system.

[0004] At present, early warning and monitoring of floating ice mainly rely on human judgment, which consumes manpower.

[0005] It should be noted that the information disclosed in the above background technology section is only used to enhance the understanding of the background of the present disclosure, and therefore may include information that does not constitute prior art known to ordinary technicians in the field. Summary of the Invention

[0006] The purpose of the present disclosure is to provide a method for warning of floating ice around offshore photovoltaic piles, a device for warning of floating ice around offshore photovoltaic piles, a computer-readable storage medium and an electronic device, thereby at least to a certain extent overcoming the problem that warning of floating ice around piles in offshore photovoltaic scenarios relies on human judgment and consumes manpower.

[0007] According to a first aspect of the present disclosure, a method for early warning of floating ice around offshore photovoltaic piles is provided, comprising: acquiring infrared floating ice images around pipe piles in an offshore photovoltaic area at night, collected at a predetermined frequency, to obtain a sequence of infrared floating ice images; determining, based on the sequence of infrared floating ice images, trend characteristic values ​​of floating ice fragments around the pipe piles as they change over time; determining, based on the trend characteristic values, an identification result of floating ice fragments around the pipe piles; and performing an ice early warning operation based on the identification result of the floating ice fragments.

[0008] Optionally, obtaining infrared floating ice images around the pipe piles in the offshore photovoltaic area at night, which are collected at a predetermined frequency, includes: sending image collection control instructions to a drone at a predetermined frequency, the image collection control instructions instructing the drone to collect infrared floating ice images around the pipe piles in the offshore photovoltaic area at night; and obtaining the infrared floating ice images collected by the drone.

[0009] Optionally, determining a trend characteristic value of ice floe fragments around the pipe pile changing over time based on the infrared ice floe image sequence includes: performing ice floe identification on each infrared ice floe image in the infrared ice floe image sequence to determine ice floe fragment characteristics of each infrared ice floe image; determining an ice floe feature change sequence corresponding to the infrared ice floe image sequence based on the ice floe fragment characteristics of each infrared ice floe image; and determining a trend characteristic value of ice floe fragments around the pipe pile changing over time based on the ice floe feature change sequence.

[0010] Optionally, the floating ice debris features include floating ice debris position features and floating ice debris size features. In this case, determining a trend characteristic value of the floating ice debris around the pipe pile over time based on the floating ice feature change sequence includes: converting a first floating ice feature change sequence determined based on the floating ice debris position features into a first vector representation; converting a second floating ice feature change sequence determined based on the floating ice debris size features into a second vector representation; and fusing the first vector representation and the second vector representation to determine the trend characteristic value of the floating ice debris around the pipe pile over time.

[0011] Optionally, the ice debris identification result includes an ice debris grade and a trend fluctuation entropy. In this case, determining the ice debris identification result around the pipe pile based on the trend characteristic value includes: performing a classification operation on the trend characteristic value to determine the ice debris grade; and determining the trend fluctuation entropy based on the trend characteristic value.

[0012] Optionally, determining the trend fluctuation entropy according to the trend characteristic value includes: determining the trend entropy and the fluctuation entropy respectively according to the trend characteristic value; and performing weighted summation of the trend entropy and the fluctuation entropy to obtain the trend fluctuation entropy.

[0013] Optionally, performing the floating ice warning operation according to the floating ice fragment identification result includes: when the floating ice fragment identification result indicates that there is a corresponding warning object, determining the identifier of the warning device held by the warning object; and sending warning information to the warning device according to the identifier of the warning device.

[0014] According to a second aspect of the present disclosure, a floating ice warning device around offshore photovoltaic piles is provided, comprising: an image acquisition module for acquiring infrared floating ice images around pipe piles in an offshore photovoltaic area at night, collected at a predetermined frequency, to obtain a sequence of infrared floating ice images; a trend feature determination module for determining, based on the sequence of infrared floating ice images, trend feature values ​​of floating ice fragments around the pipe piles that change over time; a floating ice result determination module for determining, based on the trend feature values, an identification result of floating ice fragments around the pipe piles; and a floating ice warning module for executing a floating ice warning operation based on the identification result of floating ice fragments.

[0015] Optionally, the image acquisition module is configured to send image acquisition control instructions to the drone at a predetermined frequency, the image acquisition control instructions instructing the drone to collect infrared floating ice images around the pipe piles in the offshore photovoltaic area at night; and obtain the infrared floating ice images collected by the drone.

[0016] Optionally, the trend feature determination module is configured to perform ice floe identification on each infrared ice floe image in the infrared ice floe image sequence to determine the ice floe fragment characteristics of each infrared ice floe image; determine the ice floe feature change sequence corresponding to the infrared ice floe image sequence based on the ice floe fragment characteristics of each infrared ice floe image; and determine the trend feature value of the ice floe fragments around the pipe pile changing over time based on the ice floe feature change sequence.

[0017] Optionally, the ice floe debris features include ice floe debris position features and ice floe debris size features. In this case, the trend feature determination module is configured to convert a first ice floe feature change sequence determined based on the ice floe debris position features into a first vector representation; convert a second ice floe feature change sequence determined based on the ice floe debris size features into a second vector representation; and fuse the first and second vector representations to determine a trend feature value of the ice floe debris around the pipe pile over time.

[0018] Optionally, the ice floe fragment identification result includes an ice floe fragment grade and a trend fluctuation entropy. In this case, the ice floe result determination module is configured to perform a classification operation on the trend feature value to determine the ice floe fragment grade; and determine the trend fluctuation entropy based on the trend feature value.

[0019] Optionally, the ice floe result determination module is configured to respectively determine the trend entropy and the fluctuation entropy according to the trend characteristic value; and perform weighted summation of the trend entropy and the fluctuation entropy to obtain the trend fluctuation entropy.

[0020] Optionally, the floating ice warning module is configured to, when the floating ice debris identification result indicates the existence of a corresponding warning target, determine the identifier of the warning device held by the warning target; and send warning information to the warning device according to the identifier of the warning device.

[0021] According to a third aspect of the present disclosure, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, any of the above-mentioned floating ice warning methods around offshore photovoltaic piles is implemented.

[0022] According to a fourth aspect of the present disclosure, an electronic device is provided, comprising: a processor; and a memory for storing executable instructions of the processor; the processor is configured to implement any of the above-mentioned methods for warning of floating ice around offshore photovoltaic piles by executing the executable instructions.

[0023] In the technical solutions provided by some embodiments of the present disclosure, on the one hand, the entire drift ice warning process is automatically executed by a computer, significantly reducing labor costs. On the other hand, the present disclosure utilizes nighttime infrared images for analysis. Compared to daytime color images, the present disclosure is unaffected by daytime light fluctuations, improving the accuracy of drift ice identification and, consequently, the accuracy of the drift ice warning provided by the present disclosure. Furthermore, the present disclosure analyzes image sequences rather than single image recognition, thereby accurately determining drift ice trends and helping to improve the accuracy of warnings.

[0024] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] The accompanying drawings are incorporated into and constitute a part of the specification, illustrate embodiments consistent with the present disclosure, and together with the specification, are used to explain the principles of the present disclosure. Obviously, the drawings described below are only some embodiments of the present disclosure, and those skilled in the art can derive other drawings based on these drawings without inventive effort.

[0026] Figure 1 A schematic structural diagram of a floating ice warning system around offshore photovoltaic piles according to an exemplary embodiment of the present disclosure is shown.

[0027] Figure 2 The flowchart of the method for early warning of floating ice around offshore photovoltaic piles according to an exemplary embodiment of the present disclosure is schematically shown.

[0028] Figure 3 The flowchart of the process of determining the trend characteristic value according to the embodiment of the present disclosure is schematically shown.

[0029] Figure 4 The block diagram of the floating ice warning device around offshore photovoltaic piles according to an exemplary embodiment of the present disclosure is schematically shown.

[0030] Figure 5 A block diagram schematically illustrates an electronic device according to an exemplary embodiment of the present disclosure. DETAILED DESCRIPTION

[0031] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in a variety of forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that the present disclosure will be more comprehensive and complete and will fully convey the concepts of the example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, many specific details are provided to provide a full understanding of the embodiments of the present disclosure. However, those skilled in the art will appreciate that the technical solutions of the present disclosure may be practiced while omitting one or more of the specific details, or that other methods, components, devices, steps, etc. may be employed. In other cases, well-known technical solutions are not shown or described in detail to avoid obscuring various aspects of the present disclosure.

[0032] In addition, the accompanying drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. Identical reference numerals in the figures denote identical or similar parts, and thus repetitive descriptions thereof will be omitted. Some of the block diagrams shown in the accompanying drawings are functional entities that do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in software, in one or more hardware modules or integrated circuits, or in different networks and / or processor devices and / or microcontroller devices.

[0033] The flowcharts shown in the accompanying drawings are for illustrative purposes only and do not necessarily include all steps. For example, some steps may be decomposed, while others may be combined or partially combined. Therefore, the actual execution order may vary depending on the actual situation. In addition, all terms such as "first" and "second" below are used for the purpose of distinction only and should not be construed as limitations of this disclosure.

[0034] Figure 1 FIG2 shows a schematic structural diagram of an offshore photovoltaic pile surrounding ice warning system according to an exemplary embodiment of the present disclosure. Figure 1 The floating ice warning system around offshore photovoltaic piles of the embodiment of the present disclosure may include a processing device, a drone and a warning device, wherein the drone and the warning device can be connected to the processing device for data via wired or wireless means.

[0035] The drone is equipped with an infrared sensor that can capture infrared images of floating ice around pipe piles in an offshore photovoltaic area at night. The present disclosure does not limit the number and configuration of drones.

[0036] Warning devices are devices that perform floating ice warning operations. These warning operations can include one or more of light warnings, audio warnings, text message warnings, email warnings, and phone warnings. The warning devices themselves can be monitoring devices, mobile devices, personal computers, smart wearable devices, and other types, and this disclosure does not limit these.

[0037] The processing device is a device that executes the main process of the floating ice warning method around offshore photovoltaic piles according to the embodiment of the present disclosure. Specifically, first, the processing device can obtain infrared floating ice images around the pipe piles in the offshore photovoltaic area at night, which are collected by a drone at a predetermined frequency to obtain a sequence of infrared floating ice images. Next, the processing device can determine the trend characteristic value of the floating ice fragments around the pipe piles changing over time based on the infrared floating ice image sequence. Subsequently, the processing device can determine the floating ice fragment identification result around the pipe pile based on the trend characteristic value. Then, the processing device can control the warning device to perform the floating ice warning operation based on the floating ice fragment identification result.

[0038] The embodiments of the present disclosure do not limit the type of the processing device. For example, the processing device may be any one of a server, a mobile device, a monitoring device, and a personal computer.

[0039] Figure 2 The flowchart of the method for early warning of floating ice around offshore photovoltaic piles according to an exemplary embodiment of the present disclosure is schematically shown. Figure 2 The method for early warning of floating ice around offshore photovoltaic piles may include the following steps:

[0040] S22. Obtain infrared floating ice images around the pipe piles in the offshore photovoltaic area at night, collected at a predetermined frequency, to obtain an infrared floating ice image sequence.

[0041] According to some embodiments of the present disclosure, a drone may be configured to collect infrared images of floating ice around pipe piles in an offshore photovoltaic area at night at a predetermined frequency, and may send these images to a processing device.

[0042] According to other embodiments of the present disclosure, a processing device may send image acquisition control instructions to a drone at a predetermined frequency. These image acquisition control instructions instruct the drone to capture infrared images of floating ice around pipe piles in an offshore photovoltaic area at night. In other words, in these embodiments, the drone only performs flight photography operations in response to instructions sent by the processing device. In this case, the drone may transmit the captured images to the processing device.

[0043] The present disclosure does not limit the value of the predetermined frequency. For example, the predetermined frequency may be every 1 hour, 2 hours, 3 hours, etc.

[0044] In addition, the infrared ice floe image in the infrared ice floe image sequence mentioned in the embodiment of the present disclosure can be an image taken at night or multiple images taken at night. The present disclosure does not limit the number of infrared ice floe images included in the infrared ice floe image sequence.

[0045] S24. Determine a temporal trend characteristic value of ice debris around the pipe pile based on the infrared ice floating image sequence.

[0046] First, the processing device can perform ice floe recognition on each infrared ice floe image in the infrared ice floe image sequence to determine ice floe fragment features in each infrared ice floe image. Ice floe fragment features include ice floe fragment location features and ice floe fragment size features. Specifically, a convolutional neural network can be used to extract ice floe fragment features from infrared ice floe images. This disclosure does not limit the network structure or training process of this convolutional neural network.

[0047] Next, the processing device can determine a floating ice feature change sequence corresponding to the infrared floating ice image sequence based on the floating ice fragment features in each infrared floating ice image. It should be understood that the floating ice fragment position feature corresponds to a first floating ice feature change sequence specific to position; and the floating ice fragment size feature corresponds to a second floating ice feature change sequence specific to size. The size in this embodiment includes the area of ​​the floating ice fragment on the sea surface and / or the thickness of the floating ice fragment.

[0048] Subsequently, the processing device may determine a trend characteristic value of the time-varying floating ice fragments around the pipe pile according to the floating ice characteristic variation sequence.

[0049] Specifically, on the one hand, the processing device can convert a first floating ice feature change sequence determined based on the floating ice fragment position characteristics into a first vector representation; on the other hand, the processing device can convert a second floating ice feature change sequence determined based on the floating ice fragment size characteristics into a second vector representation. Then, the first vector representation and the second vector representation are fused to determine the trend characteristic value of the floating ice fragments around the pile over time. For example, the first vector representation and the second vector representation are spliced ​​to determine the trend characteristic value with a fixed vector length. For another example, the corresponding trend characteristic value is mapped based on the first vector representation and the second vector representation. The present disclosure does not limit the mapping process.

[0050] Figure 3 The flowchart of the process of determining the trend characteristic value according to the embodiment of the present disclosure is schematically shown.

[0051] In step S302 , the processing device may determine the position characteristics and size characteristics of ice floes in each infrared ice floe image.

[0052] In step S304, the processing device may determine a first ice floe characteristic change sequence according to the position characteristics of the ice floe fragments.

[0053] In step S306 , the processing device may convert the first ice floe characteristic change sequence into a first vector representation.

[0054] In step S308, the processing device may determine a second ice floe characteristic change sequence according to the size characteristics of the ice floe fragments.

[0055] In step S310 , the processing device may convert the second ice floe characteristic change sequence into a second vector representation.

[0056] In step S312, the processing device may determine the trend characteristic value mentioned in the embodiment of the present disclosure according to the first vector representation and the second vector representation.

[0057] S26. Determine the identification result of floating ice debris around the pipe pile based on the trend characteristic value.

[0058] In an exemplary embodiment of the present disclosure, the ice floe fragment identification result includes the ice floe fragment level and the trend fluctuation entropy. It should be understood that the trend fluctuation entropy of the embodiment of the present disclosure indicates the uncertainty or complexity of the change of ice floe fragments over time.

[0059] On the one hand, the processing device can perform a classification operation on the trend characteristic value determined in step S24 to determine the ice floe debris level. Specifically, the classification operation can be implemented using a classification model based on machine learning. The present disclosure does not limit the model architecture and training process of the classification model.

[0060] On the other hand, the processing device can determine the trend fluctuation entropy based on the trend characteristic value. Specifically, the trend fluctuation entropy can be obtained by calculating the probability distribution of the trend characteristic value.

[0061] According to some embodiments of the present disclosure, the trend fluctuation entropy may include trend entropy and fluctuation entropy. In this case, the processing device may determine the trend entropy and fluctuation entropy respectively according to the trend characteristic value, and then perform a weighted summation of the trend entropy and fluctuation entropy to obtain the trend fluctuation entropy.

[0062] S28. Execute an ice floe warning operation based on the ice floe fragment identification result.

[0063] If the ice debris identification results indicate the presence of a corresponding warning target, the processing device can determine the identifier of the warning device held by the warning target and then send a warning message to the warning device based on the identifier of the warning device. The warning target can include security personnel and equipment maintenance personnel at the offshore photovoltaic site.

[0064] When the ice floe identification result indicates that there is no corresponding warning object, it means that the current ice floe situation is not sufficient to reach the warning level and no processing is performed.

[0065] It should be noted that although the steps of the method of the present disclosure are described in a specific order in the drawings, this does not require or imply that the steps must be performed in this specific order, or that all steps must be performed to achieve the desired results. Additionally or alternatively, some steps may be omitted, multiple steps may be combined into one step, and / or one step may be decomposed into multiple steps.

[0066] Furthermore, this exemplary embodiment also provides an early warning device for floating ice around offshore photovoltaic piles.

[0067] Figure 4 The block diagram of the floating ice warning device around offshore photovoltaic piles according to an exemplary embodiment of the present disclosure is schematically shown. Figure 4 According to an exemplary embodiment of the present disclosure, the floating ice warning device 4 around offshore photovoltaic piles may include an image acquisition module 41 , a trend feature determination module 43 , a floating ice result determination module 45 and a floating ice warning module 47 .

[0068] Specifically, the image acquisition module 41 can be used to obtain infrared floating ice images around the pipe piles in the offshore photovoltaic area at night, which are collected at a predetermined frequency, to obtain an infrared floating ice image sequence; the trend feature determination module 43 can be used to determine the trend feature value of the floating ice fragments around the pipe piles changing over time based on the infrared floating ice image sequence; the floating ice result determination module 45 can be used to determine the floating ice fragment identification result around the pipe pile based on the trend feature value; the floating ice warning module 47 can be used to perform a floating ice warning operation based on the floating ice fragment identification result.

[0069] According to an exemplary embodiment of the present disclosure, the image acquisition module 41 can be configured to send image acquisition control instructions to the drone at a predetermined frequency, and the image acquisition control instructions instruct the drone to collect infrared floating ice images around the pipe piles in the offshore photovoltaic area at night; and obtain the infrared floating ice images collected by the drone.

[0070] According to an exemplary embodiment of the present disclosure, the trend feature determination module 43 can be configured to perform ice floe identification on each infrared ice floe image in the infrared ice floe image sequence to determine the ice floe debris characteristics of each infrared ice floe image; determine the ice floe feature change sequence corresponding to the infrared ice floe image sequence based on the ice floe debris characteristics of each infrared ice floe image; and determine the trend feature value of the ice floe fragments around the pile over time based on the ice floe feature change sequence.

[0071] According to an exemplary embodiment of the present disclosure, ice floe debris features include ice floe debris location features and ice floe debris size features. In this case, trend feature determination module 43 can be configured to convert a first ice floe feature change sequence determined based on the ice floe debris location features into a first vector representation; convert a second ice floe feature change sequence determined based on the ice floe debris size features into a second vector representation; and fuse the first and second vector representations to determine a trend feature value of the ice floe debris around the pipe pile over time.

[0072] According to an exemplary embodiment of the present disclosure, the ice floe fragment identification result includes the ice floe fragment grade and the trend fluctuation entropy. In this case, the ice floe result determination module 45 can be configured to perform a classification operation on the trend feature value to determine the ice floe fragment grade; and determine the trend fluctuation entropy based on the trend feature value.

[0073] According to an exemplary embodiment of the present disclosure, the ice floe result determination module 45 may be configured to respectively determine the trend entropy and the fluctuation entropy according to the trend characteristic value; and perform weighted summation of the trend entropy and the fluctuation entropy to obtain the trend fluctuation entropy.

[0074] According to an exemplary embodiment of the present disclosure, the ice floe warning module 47 can be configured to determine the identifier of the warning device held by the warning target when the ice floe debris identification result indicates the existence of a corresponding warning target; and send warning information to the warning device according to the identifier of the warning device.

[0075] Since the functional modules of the floating ice warning device around offshore photovoltaic piles in the embodiment of the present disclosure are the same as those in the above-mentioned method embodiment, they will not be described in detail here.

[0076] In exemplary embodiments of the present disclosure, a computer-readable storage medium is also provided, on which is stored a program product capable of implementing the aforementioned methods of this specification. In some possible implementations, various aspects of the present disclosure may also be implemented in the form of a program product comprising program code. When the program product is executed on a terminal device, the program code is configured to cause the terminal device to execute the steps described in the "Exemplary Methods" section of this specification according to various exemplary embodiments of the present disclosure.

[0077] The program product for implementing the above-mentioned method according to an embodiment of the present disclosure may be a portable compact disc read-only memory (CD-ROM) and include program code, and may be run on a terminal device, such as a personal computer. However, the program product of the present disclosure is not limited thereto. In this document, a readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0078] The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or component, or any combination thereof. More specific examples (a non-exhaustive list) of readable storage media include: an electrical connection with one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical disk, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof.

[0079] A computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, which carries readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A readable signal medium may also be any readable medium other than a readable storage medium that can transmit, propagate, or transfer a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0080] The program code embodied on the readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

[0081] The program code for performing the operations of the present disclosure may be written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Java, C++, and the like, as well as conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user computing device, partially on the user device, as a stand-alone software package, partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server. In cases involving a remote computing device, the remote computing device may be connected to the user computing device via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computing device (e.g., via the Internet using an Internet service provider).

[0082] In an exemplary embodiment of the present disclosure, an electronic device capable of implementing the above method is also provided. The above processing device can be configured in the form of the following electronic device.

[0083] Those skilled in the art will appreciate that various aspects of the present disclosure may be implemented as systems, methods, or program products. Therefore, various aspects of the present disclosure may be implemented in the following forms: a complete hardware implementation, a complete software implementation (including firmware, microcode, etc.), or a combination of hardware and software implementations, which may be collectively referred to herein as "circuits," "modules," or "systems."

[0084] Refer to the following Figure 5 hereinafter, an electronic device 500 according to this embodiment of the present disclosure is described. Figure 5 The electronic device 500 shown is merely an example and should not limit the functions and scope of use of the embodiments of the present disclosure.

[0085] like Figure 5 As shown, electronic device 500 is implemented as a general-purpose computing device. Components of electronic device 500 may include, but are not limited to, the aforementioned at least one processing unit 510, the aforementioned at least one storage unit 520, a bus 530 connecting various system components (including storage unit 520 and processing unit 510), and a display unit 540.

[0086] The storage unit stores program code that can be executed by the processing unit 510, causing the processing unit 510 to perform the steps described in the "Exemplary Methods" section above according to various exemplary embodiments of the present disclosure. For example, the processing unit 510 can perform each step of the method for early warning of floating ice around offshore photovoltaic piles according to an embodiment of the present disclosure.

[0087] The storage unit 520 may include a readable medium in the form of a volatile storage unit, such as a random access memory unit (RAM) 5201 and / or a cache memory unit 5202 , and may further include a read-only memory unit (ROM) 5203 .

[0088] The storage unit 520 may also include a program / utility 5204 having a set (at least one) of program modules 5205, such program modules 5205 including but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment.

[0089] Bus 530 may represent one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.

[0090] The electronic device 500 can also communicate with one or more external devices 600 (e.g., a keyboard, a pointing device, a Bluetooth device, etc.), one or more devices that enable a user to interact with the electronic device 500, and / or any device that enables the electronic device 500 to communicate with one or more other computing devices (e.g., a router, a modem, etc.). Such communication can occur via an input / output (I / O) interface 550. Furthermore, the electronic device 500 can communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network such as the Internet) via a network adapter 560. As shown, the network adapter 560 communicates with other modules of the electronic device 500 via a bus 530. It should be understood that, although not shown in the figure, other hardware and / or software modules can be used in conjunction with the electronic device 500, including but not limited to microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0091] Through the description of the above embodiments, it is easy for those skilled in the art to understand that the example embodiments described herein can be implemented by software or by combining software with necessary hardware. Therefore, the technical solution according to the embodiments of the present disclosure can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which can be a personal computer, a server, a terminal device, or a network device, etc.) to execute the method according to the embodiments of the present disclosure.

[0092] Furthermore, the figures above are merely illustrative of the processes included in the methods according to exemplary embodiments of the present disclosure and are not intended to be limiting. It is readily understood that the processes illustrated in the figures above do not indicate or limit the temporal order of these processes. Furthermore, it is readily understood that these processes may be executed synchronously or asynchronously, for example, in multiple modules.

[0093] It should be noted that although several modules or units of the device for action execution are mentioned in the detailed description above, this division is not mandatory. In fact, according to the embodiments of the present disclosure, the features and functions of two or more modules or units described above can be concretized in one module or unit. Conversely, the features and functions of one module or unit described above can be further divided into multiple modules or units to be concretized.

[0094] Other embodiments of the present disclosure will readily occur to those skilled in the art after considering the specification and practicing what is disclosed herein. This application is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered as exemplary only, with the true scope and spirit of the present disclosure being indicated by the claims.

[0095] It should be understood that the present disclosure is not limited to the exact structures that have been described above and shown in the drawings, and that various modifications and changes can be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. A method for early warning of floating ice around offshore photovoltaic piles, characterized in that: include: Acquire infrared floating ice images around pipe piles in an offshore photovoltaic area at night, collected at a predetermined frequency, to obtain an infrared floating ice image sequence; determining a trend characteristic value of ice debris around the pipe pile changing over time based on the infrared ice floating image sequence; determining an identification result of floating ice debris around the pipe pile based on the trend characteristic value; An ice floe warning operation is performed according to the ice floe fragment identification result.

2. The method for early warning of floating ice around offshore photovoltaic piles according to claim 1, characterized in that: Acquiring infrared floating ice images around pipe piles in an offshore photovoltaic area at night collected at a predetermined frequency includes: sending an image acquisition control instruction to the drone at a predetermined frequency, wherein the image acquisition control instruction instructs the drone to acquire infrared images of floating ice around pipe piles in an offshore photovoltaic area at night; Acquire the infrared ice floe image collected by the UAV.

3. The method for early warning of floating ice around offshore photovoltaic piles according to claim 1, characterized in that: Determining the trend characteristic value of the ice floe fragments around the pipe pile over time based on the infrared ice floe image sequence includes: performing ice floe identification on each infrared ice floe image in the infrared ice floe image sequence to determine ice floe debris features in each infrared ice floe image; determining, based on ice floe fragment features of each of the infrared ice floe images, an ice floe feature change sequence corresponding to the infrared ice floe image sequence; A trend characteristic value of the change of floating ice fragments around the pipe pile over time is determined according to the floating ice characteristic change sequence.

4. The method for early warning of floating ice around offshore photovoltaic piles according to claim 3, characterized in that: The floating ice debris characteristics include floating ice debris position characteristics and floating ice debris size characteristics; wherein, determining the trend characteristic value of the floating ice debris around the pipe pile changing over time based on the floating ice characteristic change sequence includes: Converting a first ice floe characteristic change sequence determined based on the ice floe fragment position characteristics into a first vector representation; converting a second ice floe characteristic change sequence determined based on the ice floe fragment size characteristics into a second vector representation; The first vector representation and the second vector representation are fused to determine a trend characteristic value of the floating ice debris around the pipe pile that changes over time.

5. The method for early warning of floating ice around offshore photovoltaic piles according to claim 1, characterized in that: The floating ice debris identification result includes the floating ice debris level and the trend fluctuation entropy; wherein, determining the floating ice debris identification result around the pipe pile based on the trend characteristic value includes: performing a classification operation on the trend characteristic value to determine the ice floe debris grade; The trend fluctuation entropy is determined according to the trend characteristic value.

6. The method for early warning of floating ice around offshore photovoltaic piles according to claim 5, characterized in that: Determining the trend fluctuation entropy according to the trend characteristic value includes: Determine trend entropy and fluctuation entropy respectively according to the trend characteristic value; The trend entropy and the fluctuation entropy are weightedly summed to obtain the trend fluctuation entropy.

7. The method for early warning of floating ice around offshore photovoltaic piles according to claim 1, 5 or 6, characterized in that: Performing an ice floe warning operation according to the ice floe fragment identification result includes: If the ice floe identification result indicates that a corresponding warning target exists, determining an identifier of a warning device held by the warning target; Send warning information to the warning device according to the identifier of the warning device.

8. An ice warning device around offshore photovoltaic piles, characterized in that: include: An image acquisition module is used to acquire infrared floating ice images around the pipe piles in the offshore photovoltaic area at night, collected at a predetermined frequency, to obtain an infrared floating ice image sequence; a trend characteristic determination module, configured to determine a trend characteristic value of ice floes around the pipe pile that changes over time based on the infrared ice floe image sequence; a floating ice result determination module, configured to determine a floating ice fragment identification result around the pipe pile based on the trend characteristic value; The floating ice warning module is used to perform a floating ice warning operation according to the floating ice fragment identification result.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for early warning of floating ice around offshore photovoltaic piles according to any one of claims 1 to 7 is implemented.

10. An electronic device, characterized in that: include: processor; as well as a memory for storing executable instructions of the processor; The processor is configured to implement the method for early warning of floating ice around offshore photovoltaic piles according to any one of claims 1 to 7 by executing the executable instructions.

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