Offshore photovoltaic safety monitoring method, device and system, medium and electronic equipment

Abstract

The invention provides an offshore photovoltaic safety monitoring method, device and system, a medium and electronic equipment, and relates to the technical field of safety monitoring. The method comprises the following steps: acquiring field information collected by a sensor system; identifying and analyzing the field information to determine an abnormal object; extracting risk features of the abnormal object, and scoring the risk features to obtain a first scoring result; determining a coordinate position of the abnormal object, sending the coordinate position of the abnormal object to the electronic fence system, receiving a warning level fed back by the electronic fence system in response to the coordinate position of the abnormal object, and converting the warning level into a second scoring result; determining a target alarm mode according to the first scoring result and the second scoring result, and sending an alarm instruction to alarm equipment; wherein the alarm instruction is used for indicating the alarm device to give an alarm in a target alarm mode. According to the invention, the accuracy of monitoring alarm can be improved and omission is not easy to occur.

Description

Background Art

[0002] Offshore photovoltaic sites include onshore and offshore areas. There are many potential safety hazards in project construction and maintenance, and the corresponding safety hazard levels in different areas may be different. When safety hazards occur, timely warning is still an effective means to solve safety problems.

[0003] Currently, safety is ensured through manual monitoring. However, due to human involvement, manual monitoring may lead to inaccurate grasp of safety hazards and easy omissions.

[0004] 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 the prior art known to ordinary technicians in the field. Summary of the invention

[0005] The purpose of the present disclosure is to provide a method, device, system, medium and electronic equipment for safety monitoring of offshore photovoltaics, thereby overcoming the problems of inaccurate grasp of safety hazards in offshore photovoltaic scenarios and easy omissions, at least to a certain extent.

[0006] According to a first aspect of the present disclosure, a method for safety monitoring of offshore photovoltaics is provided, comprising: acquiring field information collected by a sensor system; wherein the sensor system is configured in an offshore photovoltaic field; identifying and analyzing the field information to determine abnormal objects; extracting risk characteristics of the abnormal objects, and scoring the risk characteristics to obtain a first scoring result; determining the coordinate position of the abnormal object, sending the coordinate position of the abnormal object to an electronic fence system, receiving a warning level fed back by the electronic fence system in response to the coordinate position of the abnormal object, and converting the warning level into a second scoring result; determining a target alarm mode according to the first scoring result and the second scoring result, and sending an alarm instruction to an alarm device; wherein the alarm instruction is used to instruct the alarm device to alarm in a target alarm mode.

[0007] Optionally, the scene information is identified and analyzed to determine the abnormal object, including: obtaining standard information that is the same as the scene information; performing a difference comparison between the scene information and the standard information, and determining a candidate abnormal object based on the result of the difference comparison; tracking the trajectory of the candidate abnormal object; and determining the candidate abnormal object as an abnormal object when it is determined that the trajectory of the candidate abnormal object is abnormal.

[0008] Optionally, extracting risk features of abnormal objects and scoring the risk features to obtain a first scoring result includes: determining the type of abnormal object; the type of abnormal object includes abnormal objects on land and abnormal objects at sea; when the abnormal object is an abnormal object on land, inputting information of the abnormal object into a first neural network, extracting risk features of the abnormal object by the first neural network, and scoring the risk features to obtain a first scoring result; when the abnormal object is an abnormal object at sea, inputting information of the abnormal object into a second neural network, extracting risk features of the abnormal object by the second neural network, and scoring the risk features to obtain a first scoring result; wherein the first neural network and the second neural network are neural networks with the same network structure and different parameters, or the first neural network and the second neural network are neural networks with different network structures.

[0009] Optionally, the safety monitoring method further includes: responding to a warning zone configuration operation on an electronic nautical chart, dividing the offshore photovoltaic scene into regions based on warning levels, and feeding back the region division results to the electronic fence system.

[0010] Optionally, determining a target alarm mode according to the first scoring result and the second scoring result includes: performing a weighted average operation on the first scoring result and the second scoring result to obtain an abnormality score of the abnormal object; and determining a target alarm mode corresponding to the abnormality score of the abnormal object according to a pre-constructed mapping relationship between the abnormality score and the alarm mode.

[0011] Optionally, the security monitoring method also includes: when sending an alarm instruction to the alarm device, sending a monitoring state conversion instruction to the monitoring display device; wherein the monitoring state conversion instruction is used to instruct the monitoring display device to switch the display state of the abnormal object to a display state corresponding to the target alarm mode.

[0012] According to a second aspect of the present disclosure, there is provided a safety monitoring device for offshore photovoltaics, comprising: an information acquisition module, for acquiring field information collected by a sensor system; wherein the sensor system is configured in an offshore photovoltaic field; an information analysis module, for identifying and analyzing the field information to determine abnormal objects; a first scoring determination module, for extracting risk characteristics of abnormal objects, and scoring the risk characteristics to obtain a first scoring result; a second scoring determination module, for determining the coordinate position of the abnormal object, sending the coordinate position of the abnormal object to an electronic fence system, receiving a warning level fed back by the electronic fence system in response to the coordinate position of the abnormal object, and converting the warning level into a second scoring result; an instruction sending module, for determining a target alarm mode according to the first scoring result and the second scoring result, and sending an alarm instruction to an alarm device; wherein the alarm instruction is used to instruct the alarm device to alarm in a target alarm mode.

[0013] According to a third aspect of the present disclosure, a safety monitoring system for offshore photovoltaics is provided, comprising a sensor system, a processing device, an electronic fence system and an alarm device; the sensor system is configured in an offshore photovoltaic field; the processing device is used to obtain field information collected by the sensor system, identify and analyze the field information to determine abnormal objects; extract risk characteristics of the abnormal objects, and score the risk characteristics to obtain a first scoring result; determine the coordinate position of the abnormal object, and send the coordinate position of the abnormal object to the electronic fence system; receive the warning level fed back by the electronic fence system, and convert the warning level into a second scoring result; determine a target alarm mode according to the first scoring result and the second scoring result, and send an alarm instruction to the alarm device; the electronic fence system is used to respond to the coordinate position of the abnormal object to feedback the warning level to the processing device; the alarm device is used to respond to the alarm instruction to alarm in a target alarm mode.

[0014] According to a fourth aspect of the present disclosure, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, any of the above-mentioned offshore photovoltaic safety monitoring methods is implemented.

[0015] According to a fifth 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 offshore photovoltaic safety monitoring methods by executing the executable instructions.

[0016] In the technical solutions provided by some embodiments of the present disclosure, a first scoring result is determined based on the risk characteristics of the abnormal object, and a second scoring result is determined in combination with the electronic fence system, and then a target alarm method is determined according to the first scoring result and the second scoring result to issue an alarm. As a result, the entire alarm process does not require human participation, the accuracy of the monitored data judgment and the alarm is high, and no abnormalities are missed.

[0017] 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 present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The accompanying drawings herein are incorporated into the specification 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 accompanying drawings described below are only some embodiments of the present disclosure, and for ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without creative work.

[0019] Figure 1 A block diagram of a safety monitoring system for offshore photovoltaics according to an exemplary embodiment of the present disclosure is schematically shown.

[0020] Figure 2 A flow chart of a method for safety monitoring of offshore photovoltaics according to an exemplary embodiment of the present disclosure is schematically shown.

[0021] Figure 3 A schematic diagram of a process for determining a first scoring result according to an embodiment of the present disclosure is shown.

[0022] Figure 4 A block diagram of a safety monitoring device for offshore photovoltaics according to an exemplary embodiment of the present disclosure is schematically shown.

[0023] Figure 5 A block diagram of an electronic device according to an exemplary embodiment of the present disclosure is schematically shown. DETAILED DESCRIPTION

[0024] 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 being limited to the examples set forth herein; on the contrary, these embodiments are provided so that the present disclosure will be more comprehensive and complete, and the concepts of the example embodiments are fully conveyed to those skilled in the art. The described features, structures, or characteristics may be combined in one or more embodiments in any suitable manner. 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 other methods, components, devices, steps, etc. may be adopted. In other cases, known technical solutions are not shown or described in detail to avoid obscuring various aspects of the present disclosure.

[0025] In addition, the accompanying drawings are only schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the figures represent the same or similar parts, and their repeated description will be omitted. Some of the block diagrams shown in the accompanying drawings are functional entities and do not necessarily correspond to physically or logically independent entities. These functional entities can be implemented in software form, or implemented in one or more hardware modules or integrated circuits, or implemented in different networks and / or processor devices and / or microcontroller devices.

[0026] The flowcharts shown in the accompanying drawings are only exemplary and do not necessarily include all the steps. For example, some steps may be decomposed, while some steps may be combined or partially combined, so the actual execution order may change according to the actual situation. In addition, all the terms "first", "second", etc. below are only for the purpose of distinction and should not be used as limitations of the present disclosure.

[0027] Figure 1The block diagram of the safety monitoring system of offshore photovoltaic according to an exemplary embodiment of the present disclosure is schematically shown. Figure 1 The offshore photovoltaic safety monitoring system of the embodiment of the present disclosure may include a sensor system, a processing device, an electronic fence system and an alarm device.

[0028] The sensor system is configured in the offshore photovoltaic field and can be used to sense on-site information. Specifically, the sensor system of the embodiment of the present disclosure may include at least a video monitoring system, a radar system, an automatic identification system (Automatic Identification System, AIS), a very high frequency (VHF) communication system, etc. Correspondingly, the on-site information may be a combination of one or more of image information, radar information, AIS information, and VHF information.

[0029] The processing device can be used to obtain the field information collected by the sensor system, identify and analyze the field information to determine the abnormal object. On the one hand, the risk characteristics of the abnormal object are extracted and the risk characteristics are scored to obtain a first scoring result. On the other hand, the coordinate position of the abnormal object is determined and sent to the electronic fence system; the warning level fed back by the electronic fence system is received, and the warning level is converted into a second scoring result. Next, the target alarm method is determined according to the first scoring result and the second scoring result, and an alarm instruction is sent to the alarm device.

[0030] The electronic fence system can be used to respond to the coordinate position of the abnormal object and feedback the alert level to the processing device.

[0031] The alarm device can be used to respond to the alarm instruction and give an alarm in a target alarm mode. The alarm device can be the alarm device closest to the coordinate position of the abnormal object, or the communication device of the abnormal object, or the device of the staff in the field area, and the present disclosure does not limit this. Taking the offshore alarm device as an example, the alarm device can be an acoustic and optical repellent device configured around the offshore field area, and the present disclosure does not limit this.

[0032] The following is an explanation of the offshore photovoltaic safety monitoring method according to the embodiment of the present disclosure. It should be noted that each step of the offshore photovoltaic safety monitoring method can be performed by the above-mentioned processing device. The present disclosure does not limit the device type of the above-mentioned processing device, for example, it can include a mobile device, a personal computer, a server, etc.

[0033] Figure 2 The flowchart of the safety monitoring method of offshore photovoltaics according to an exemplary embodiment of the present disclosure is schematically shown. Figure 2 , the safety monitoring method of offshore photovoltaics may include the following steps:

[0034] S20. Acquire on-site information collected by a sensor system; wherein the sensor system is configured in an offshore photovoltaic field.

[0035] In an exemplary embodiment of the present disclosure, the sensor system may include a video monitoring system, a radar system, an automatic ship identification system, a very high frequency communication system, etc. Taking the video monitoring system as an example, the cameras contained therein may be deployed at different locations in the offshore photovoltaic field. Taking the radar system, the automatic ship identification system, and the very high frequency communication system as examples, they may be configured in the booster station of the onshore part of the offshore photovoltaic field.

[0036] Correspondingly, the on-site information may include one or more combinations of image information, radar information, AIS information, and VHF information collected on-site.

[0037] S22. Identify and analyze the on-site information to determine abnormal objects.

[0038] According to some embodiments of the present disclosure, first, the processing device may obtain standard information with the same scene as the on-site information. It should be understood that the standard information is information that has been manually confirmed to be free of abnormalities.

[0039] Next, the processing device can compare the scene information with the standard information, and determine the candidate abnormal object according to the result of the difference comparison. Taking an image as an example, the image difference between the scene information and the standard information can be determined, and the difference can be determined as the foreground to obtain the candidate difference object.

[0040] Subsequently, the processing device can track the trajectory of the candidate abnormal object. That is, the on-site information is continuously acquired for a period of time, and the trajectory is confirmed through the on-site information. It can be understood that for offshore photovoltaic scenarios, the trajectory can be, for example, the walking trajectory of an abnormal person, the driving trajectory of an abnormal ship or vehicle.

[0041] When it is determined that the candidate abnormal object has an abnormal trajectory, the processing device may determine the candidate abnormal object as an abnormal object. The trajectory abnormality in different scenarios may be different, which may be pre-defined manually, and the present disclosure does not limit this.

[0042] According to some other embodiments of the present disclosure, a pre-trained convolutional neural network may be used to implement the determination of abnormal objects, and the present disclosure does not limit the structure and training process of the convolutional neural network.

[0043] S24. Extract risk features of abnormal objects and score the risk features to obtain a first scoring result.

[0044] Abnormal objects in offshore photovoltaic scenarios can include abnormal objects on land and abnormal objects at sea. Given that land and sea correspond to different scenarios, they are determined separately when determining risks. For example, for offshore ships, risk characteristics may include ship type, ship speed, direction of travel, etc. For pedestrians on land, risk characteristics may include whether they are equipped with safety equipment, carrying abnormal items, direction of travel, etc.

[0045] Figure 3 FIG. 2 is a schematic diagram showing a process of determining a first scoring result according to an embodiment of the present disclosure. Figure 3 ,First, the type of the abnormal object is determined, and the type of the abnormal object mentioned here may include abnormal objects on land and abnormal objects at sea.

[0046] In the case where the abnormal object is an abnormal object on land, the information of the abnormal object can be input into the first neural network, and the first neural network extracts the risk features of the abnormal object and scores the risk features to obtain a first scoring result.

[0047] In the case where the abnormal object is an abnormal object at sea, the information of the abnormal object can be input into the second neural network, and the second neural network extracts the risk features of the abnormal object and scores the risk features to obtain a first scoring result.

[0048] It should be noted that the first neural network and the second neural network may be neural networks with the same network structure and different parameters, or the first neural network and the second neural network may be neural networks with different network structures. The present disclosure does not limit their structures and training processes.

[0049] S26. Determine the coordinate position of the abnormal object, send the coordinate position of the abnormal object to the electronic fence system, receive the alert level fed back by the electronic fence system in response to the coordinate position of the abnormal object, and convert the alert level into a second scoring result.

[0050] In an exemplary embodiment of the present disclosure, the warning zone can be pre-configured. Specifically, on the electronic nautical chart, the offshore photovoltaic scene can be divided into regions based on the warning level in response to the warning zone configuration operation, that is, the warning levels of different divided areas are not exactly the same. Next, the regional division results can be fed back to the electronic fence system. In this way, the construction of the electronic fence of offshore photovoltaics is completed.

[0051] The processing device can determine the coordinate position of the abnormal object and send the coordinate position to the electronic fence system. The electronic fence system determines the alert level of the area where the coordinate position is located based on the electronic fence it maintains, and feeds the alert level back to the processing device.

[0052] After determining the alert level of the location of the abnormal object, the processing device can convert the alert level into a second scoring result. Specifically, a mapping relationship between the alert level and the score can be pre-constructed, and after determining the alert level, the second scoring result can be determined according to the mapping relationship.

[0053] S28. Determine a target alarm mode according to the first scoring result and the second scoring result, and send an alarm instruction to the alarm device; wherein the alarm instruction is used to instruct the alarm device to issue an alarm in the target alarm mode.

[0054] In an exemplary embodiment of the present disclosure, first, a weighted average operation may be performed on the first scoring result and the second scoring result to obtain an abnormality score of the abnormal object. Next, a target alarm mode corresponding to the abnormality score of the abnormal object may be determined according to a pre-constructed mapping relationship between an abnormality score and an alarm mode.

[0055] The alarm mode can be one or any combination of the following modes: audio alarm, video alarm, laser alarm, vibration alarm, etc. For example, for audio alarm, the audio content, audio intensity, and audio playback direction can all be different, and different configurations correspond to different alarm modes. For another example, for laser alarm, the laser type, laser intensity, and laser emission direction can all be different, and different configurations also correspond to different alarm modes.

[0056] In addition, when sending an alarm instruction to the alarm device, the processing device may first monitor the display device to send a monitoring state conversion instruction. The monitoring state conversion instruction is used to instruct the monitoring display device to switch the display state of the abnormal object to a display state corresponding to the target alarm mode. That is to say, in the exemplary embodiment of the present disclosure, the interface display content corresponding to different alarm modes may be different.

[0057] Specifically, the switching of the display state may include switching of display content, display color, flashing state, etc. For example, the abnormal ship switches from green to red and flashes.

[0058] It should be noted that although the steps of the method in 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 the steps shown 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, etc.

[0059] Furthermore, this example embodiment also provides a safety monitoring device for offshore photovoltaics.

[0060] Figure 4The block diagram of the safety monitoring device for offshore photovoltaics according to an exemplary embodiment of the present disclosure is schematically shown. Figure 4 According to an exemplary embodiment of the present disclosure, the offshore photovoltaic safety monitoring device 4 may include an information acquisition module 41 , an information analysis module 43 , a first score determination module 45 , a second score determination module 47 and an instruction sending module 49 .

[0061] Specifically, the information acquisition module 41 can be used to acquire field information collected by the sensor system; wherein the sensor system is configured in an offshore photovoltaic field; the information analysis module 43 can be used to identify and analyze the field information to determine abnormal objects; the first scoring determination module 45 can be used to extract the risk characteristics of the abnormal objects, and score the risk characteristics to obtain a first scoring result; the second scoring determination module 47 can be used to determine the coordinate position of the abnormal object, send the coordinate position of the abnormal object to the electronic fence system, receive the warning level fed back by the electronic fence system in response to the coordinate position of the abnormal object, and convert the warning level into a second scoring result; the instruction sending module 49 can be used to determine the target alarm mode according to the first scoring result and the second scoring result, and send an alarm instruction to the alarm device; wherein the alarm instruction is used to instruct the alarm device to alarm in a target alarm mode.

[0062] According to an exemplary embodiment of the present disclosure, the information analysis module 43 can be configured to: obtain standard information that is the same as the scene information; compare the scene information with the standard information, and determine the candidate abnormal object based on the result of the difference comparison; track the trajectory of the candidate abnormal object; and when it is determined that the trajectory of the candidate abnormal object is abnormal, determine the candidate abnormal object as an abnormal object.

[0063] According to an exemplary embodiment of the present disclosure, the first scoring determination module 45 can be configured to: determine the type of abnormal object; the types of abnormal objects include onshore abnormal objects and offshore abnormal objects; when the abnormal object is an onshore abnormal object, the information of the abnormal object is input into the first neural network, the risk characteristics of the abnormal object are extracted by the first neural network, and the risk characteristics are scored to obtain a first scoring result; when the abnormal object is an offshore abnormal object, the information of the abnormal object is input into the second neural network, the risk characteristics of the abnormal object are extracted by the second neural network, and the risk characteristics are scored to obtain a first scoring result; wherein the first neural network and the second neural network are neural networks with the same network structure and different parameters, or the first neural network and the second neural network are neural networks with different network structures.

[0064] According to an exemplary embodiment of the present disclosure, the second score determination module 47 may also be configured to: respond to the warning zone configuration operation on the electronic nautical chart, divide the offshore photovoltaic scene into areas based on the warning level, and feed back the area division result to the electronic fence system.

[0065] According to an exemplary embodiment of the present disclosure, the instruction sending module 49 can be configured to: perform a weighted average operation on the first scoring result and the second scoring result to obtain an abnormality score of the abnormal object; determine the target alarm mode corresponding to the abnormality score of the abnormal object according to a pre-constructed mapping relationship between the abnormality score and the alarm mode.

[0066] According to an exemplary embodiment of the present disclosure, the instruction sending module 49 can also be configured to: when sending an alarm instruction to the alarm device, send a monitoring state conversion instruction to the monitoring display device; wherein the monitoring state conversion instruction is used to instruct the monitoring display device to switch the display state of the abnormal object to a display state corresponding to the target alarm mode.

[0067] Since the functional modules of the offshore photovoltaic safety monitoring device according to the embodiment of the present disclosure are the same as those in the above method implementation, they will not be described in detail here.

[0068] In an exemplary embodiment of the present disclosure, a computer-readable storage medium is also provided, on which a program product capable of implementing the above method of the present specification is stored. In some possible implementations, various aspects of the present disclosure may also be implemented in the form of a program product, which includes a program code, and when the program product is run on a terminal device, the program code is used to enable the terminal device to execute the steps according to various exemplary implementations of the present disclosure described in the above "Exemplary Method" section of the present specification.

[0069] The program product for implementing the above method according to the embodiment of the present disclosure can adopt a portable compact disk read-only memory (CD-ROM) and include program code, and can be run on a terminal device, such as a personal computer. However, the program product of the present disclosure is not limited thereto, and in this document, a readable storage medium can be any tangible medium containing or storing a program, which can be used by or in combination with an instruction execution system, an apparatus or a device.

[0070] The program product may use 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 device, or any combination of the above. More specific examples (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 of the above.

[0071] Computer readable signal media may include data signals propagated in baseband or as part of a carrier wave, in which readable program code is carried. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Readable signal media may also be any readable medium other than a readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0072] The program code embodied on the readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wired, optical cable, RF, etc., or any suitable combination of the foregoing.

[0073] 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++, etc., and 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 separate 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 through 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., through the Internet using an Internet service provider).

[0074] 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.

[0075] 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 specifically implemented in the following forms, namely: complete hardware implementation, complete software implementation (including firmware, microcode, etc.), or a combination of hardware and software, which may be collectively referred to herein as "circuits", "modules" or "systems".

[0076] Refer to the following Figure 5 The 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 bring any limitation to the functions and scope of use of the embodiments of the present disclosure.

[0077] like Figure 5 As shown, the electronic device 500 is in the form of a general computing device. The components of the electronic device 500 may include but are not limited to: at least one processing unit 510, at least one storage unit 520, a bus 530 connecting different system components (including the storage unit 520 and the processing unit 510), and a display unit 540.

[0078] The storage unit stores program codes, which can be executed by the processing unit 510, so that the processing unit 510 executes the steps according to various exemplary embodiments of the present disclosure described in the above “Exemplary Method” section of this specification. For example, the processing unit 510 can execute various steps of the offshore photovoltaic safety monitoring method of the embodiment of the present disclosure.

[0079] The storage unit 520 may include a readable medium in the form of a volatile storage unit, such as a random access storage unit (RAM) 5201 and / or a cache storage unit 5202 , and may further include a read-only storage unit (ROM) 5203 .

[0080] 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.

[0081] Bus 530 may represent one or more of several types of bus structures, including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.

[0082] The electronic device 500 may also communicate with one or more external devices 600 (e.g., keyboards, pointing devices, Bluetooth devices, 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., routers, modems, etc.). Such communication may be performed through an input / output (I / O) interface 550. Furthermore, the electronic device 500 may also 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) through a network adapter 560. Figure 5 As shown, the network adapter 560 communicates with other modules of the electronic device 500 via the 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.

[0083] Through the description of the above implementation, it is easy for those skilled in the art to understand that the example implementation described here can be implemented by software, or by software combined with necessary hardware. Therefore, the technical solution according to the implementation 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, including 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 implementation of the present disclosure.

[0084] In addition, the above-mentioned figures are only schematic illustrations of the processes included in the method according to the exemplary embodiments of the present disclosure, and are not intended to be limiting. It is easy to understand that the processes shown in the above-mentioned figures do not indicate or limit the time sequence of these processes. In addition, it is also easy to understand that these processes can be performed synchronously or asynchronously, for example, in multiple modules.

[0085] It should be noted that, although several modules or units of the device for action execution are mentioned in the above detailed description, 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 embodied in one module or unit. On the contrary, the features and functions of one module or unit described above can be further divided into multiple modules or units to be embodied.

[0086] Those skilled in the art will readily appreciate other embodiments of the present disclosure 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 technical means in the art that are not disclosed in the present disclosure. The specification and embodiments are to be considered merely as exemplary, and the true scope and spirit of the present disclosure are indicated by the claims.

[0087] 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 may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. A safety monitoring method for offshore photovoltaics, characterized in that: include: Acquiring on-site information collected by a sensor system; wherein the sensor system is configured in an offshore photovoltaic field; Identify and analyze the on-site information to identify abnormal objects; Extracting risk features of the abnormal object and scoring the risk features to obtain a first scoring result; Determine the coordinate position of the abnormal object, send the coordinate position of the abnormal object to the electronic fence system, receive the warning level fed back by the electronic fence system in response to the coordinate position of the abnormal object, and convert the warning level into a second scoring result; A target alarm mode is determined according to the first scoring result and the second scoring result, and an alarm instruction is sent to an alarm device; wherein the alarm instruction is used to instruct the alarm device to issue an alarm in the target alarm mode.

2. The security monitoring method according to claim 1, characterized in that: Identify and analyze the on-site information to identify abnormal objects, including: Acquire standard information having a scene identical to the on-site information; Comparing the on-site information with the standard information, and determining a candidate abnormal object according to the result of the difference comparison; Tracking the trajectory of the candidate abnormal object; In the case where it is determined that the trajectory of the candidate abnormal object is abnormal, the candidate abnormal object is determined as an abnormal object.

3. The security monitoring method according to claim 1, characterized in that: Extracting the risk features of the abnormal object and scoring the risk features to obtain a first scoring result includes: Determine the type of the abnormal object; the type of the abnormal object includes abnormal objects on land and abnormal objects at sea; In the case where the abnormal object is a land abnormal object, the information of the abnormal object is input into a first neural network, the risk feature of the abnormal object is extracted by the first neural network, and the risk feature is scored to obtain a first scoring result; In the case where the abnormal object is an abnormal object at sea, the information of the abnormal object is input into a second neural network, the risk features of the abnormal object are extracted by the second neural network, and the risk features are scored to obtain a first scoring result; The first neural network and the second neural network are neural networks with the same network structure and different parameters, or the first neural network and the second neural network are neural networks with different network structures.

4. The security monitoring method according to claim 1, characterized in that: The security monitoring method further comprises: In response to the warning zone configuration operation on the electronic nautical chart, the offshore photovoltaic scene is divided into regions based on the warning level, and the regional division result is fed back to the electronic fence system.

5. The security monitoring method according to claim 1, characterized in that: Determining a target alarm mode according to the first scoring result and the second scoring result includes: Performing a weighted average operation on the first scoring result and the second scoring result to obtain an abnormality score of the abnormal object; The target warning mode corresponding to the abnormal score of the abnormal object is determined according to the pre-constructed mapping relationship between the abnormal score and the warning mode.

6. The security monitoring method according to any one of claims 1 to 5, characterized in that: The security monitoring method further comprises: When sending an alarm instruction to the alarm device, sending a monitoring state conversion instruction to the monitoring display device; The monitoring state conversion instruction is used to instruct the monitoring display device to switch the display state of the abnormal object to a display state corresponding to the target alarm mode.

7. A safety monitoring device for offshore photovoltaics, characterized in that: include: An information acquisition module, used to acquire on-site information collected by a sensor system; wherein the sensor system is configured in an offshore photovoltaic field; An information analysis module, used to identify and analyze the on-site information to determine abnormal objects; A first scoring determination module, used for extracting risk features of the abnormal object and scoring the risk features to obtain a first scoring result; A second scoring determination module is used to determine the coordinate position of the abnormal object, send the coordinate position of the abnormal object to the electronic fence system, receive the warning level fed back by the electronic fence system in response to the coordinate position of the abnormal object, and convert the warning level into a second scoring result; An instruction sending module is used to determine a target alarm mode according to the first scoring result and the second scoring result, and send an alarm instruction to an alarm device; wherein the alarm instruction is used to instruct the alarm device to issue an alarm in the target alarm mode.

8. A safety monitoring system for offshore photovoltaics, characterized in that: Including sensor systems, processing equipment, electronic fence systems and alarm equipment; The sensor system is configured in an offshore photovoltaic field area; The processing device is used to obtain the on-site information collected by the sensor system, identify and analyze the on-site information to determine abnormal objects; extract risk features of the abnormal objects, and score the risk features to obtain a first scoring result; Determine the coordinate position of the abnormal object, and send the coordinate position of the abnormal object to the electronic fence system; receive the warning level fed back by the electronic fence system, and convert the warning level into a second scoring result; determine the target alarm mode according to the first scoring result and the second scoring result, and send an alarm instruction to the alarm device; The electronic fence system is used to feedback the alert level to the processing device in response to the coordinate position of the abnormal object; The alarm device is used to respond to the alarm instruction and issue an alarm in the target alarm mode.

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 offshore photovoltaic safety monitoring method according to any one of claims 1 to 6 is implemented.

10. An electronic device, characterized in that: include: processor; as well as A memory, configured to store executable instructions of the processor; The processor is configured to implement the offshore photovoltaic safety monitoring method according to any one of claims 1 to 6 by executing the executable instructions.

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