Offshore photovoltaic safety risk prediction method and device, program product and equipment

Abstract

The invention provides an offshore photovoltaic safety risk prediction method and device, a program product and equipment, and relates to the technical field of information processing. The method comprises the following steps: acquiring position information of a plurality of construction areas of an offshore photovoltaic construction site, and determining the distance between each construction area and a sea area according to the position information of each construction area; determining a risk coefficient of each construction area according to the distance between each construction area and the sea area and the operation type of each construction area, and determining an alarm threshold value according to the risk coefficient of each construction area; acquiring monitoring information of each construction area, and predicting a safety risk value of each construction area according to the monitoring information; and in response to the condition that the safety risk value of any construction area reaches the alarm threshold value of the construction area, generating alarm information for the construction area. According to the invention, the safety of an offshore photovoltaic project can be improved, and the risk is reduced.

Description

Technical Field

[0001] The present disclosure relates to the field of information processing technology, and in particular to a method for predicting safety risks of offshore photovoltaics, a device for predicting safety risks of offshore photovoltaics, a computer program product and an electronic device. Background Art

[0002] The construction site environment of offshore photovoltaic is complex and the construction is difficult. Safety risks are prone to occur during the entire project construction process, endangering personal and property safety. In related technologies, alarm information is usually issued when abnormal conditions are detected. This method is relatively lagging and difficult to detect potential safety risks in time. It has poor reliability and cannot effectively ensure the safety of the project. Summary of the invention

[0003] The present disclosure provides a method for predicting safety risks of offshore photovoltaics, a device for predicting safety risks of offshore photovoltaics, a computer program product and an electronic device, so as to at least improve the safety of offshore photovoltaic projects to a certain extent.

[0004] According to a first aspect of the present disclosure, a method for predicting safety risks of offshore photovoltaics is provided, the method comprising: obtaining location information of multiple construction areas at an offshore photovoltaic construction site, and determining the distance between each construction area and the sea area according to the location information of each construction area; determining the risk coefficient of each construction area according to the distance between each construction area and the sea area and the operation type of each construction area, and determining an alarm threshold according to the risk coefficient of each construction area; obtaining monitoring information of each construction area, and predicting the safety risk value of each construction area according to the monitoring information; and generating alarm information for any construction area in response to the safety risk value of the construction area reaching the alarm threshold of the construction area.

[0005] According to a second aspect of the present disclosure, there is provided a device for predicting safety risks of offshore photovoltaics, the device comprising: a position information processing module, configured to obtain position information of multiple construction areas of an offshore photovoltaic construction site, and determine the distance of each construction area from the sea area according to the position information of each construction area; a risk coefficient processing module, configured to determine the risk coefficient of each construction area according to the distance between each construction area and the sea area and the operation type of each construction area, and determine an alarm threshold according to the risk coefficient of each construction area; a safety monitoring module, configured to obtain monitoring information of each construction area, and predict the safety risk value of each construction area according to the monitoring information; and an alarm processing module, configured to generate alarm information for any construction area in response to the safety risk value of the construction area reaching the alarm threshold of the construction area.

[0006] According to a third aspect of the present disclosure, a computer program product is provided, including a computer program, wherein when the computer program is executed by a processor, the method of the first aspect and possible implementations thereof are implemented.

[0007] 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; wherein the processor is configured to execute the method of the above-mentioned first aspect and its possible implementation methods by executing the executable instructions.

[0008] The technical solution disclosed in this disclosure has the following beneficial effects:

[0009] Obtain the location information of multiple construction areas at the offshore photovoltaic construction site, and determine the distance between each construction area and the sea area based on the location information of each construction area; determine the risk factor of each construction area based on the distance between each construction area and the sea area and the operation type of each construction area, and determine the alarm threshold based on the risk factor of each construction area; obtain the monitoring information of each construction area, and predict the safety risk value of each construction area based on the monitoring information; in response to the safety risk value of any construction area reaching the alarm threshold of the construction area, generate alarm information for the construction area. In this way, it is possible to adopt appropriate safety risk alarm intensity according to the location characteristics and operation types of different construction areas, predict the safety risk value based on the monitoring information of the construction area, and generate corresponding alarm information when the safety risk value reaches the alarm threshold, which is conducive to timely discovery of potential safety risks, facilitating the adoption of disposal measures to reduce or eliminate safety hazards, and improve the safety of offshore photovoltaic projects. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] Figure 1 A schematic diagram showing a scene architecture in this exemplary embodiment.

[0011] Figure 2 A flow chart showing a method for predicting safety risks of offshore photovoltaics in this exemplary embodiment.

[0012] Figure 3 A flow chart for determining a risk factor in this exemplary embodiment is shown.

[0013] Figure 4 A flow chart for determining a security risk value in this exemplary embodiment is shown.

[0014] Figure 5 A schematic structural diagram of a safety risk prediction device for offshore photovoltaics in this exemplary embodiment is shown.

[0015] Figure 6 A schematic structural diagram of an electronic device in this exemplary embodiment is shown. DETAILED DESCRIPTION

[0016] Exemplary embodiments of the present disclosure will be described more fully hereinafter with reference to the accompanying drawings.

[0017] The accompanying drawings are schematic diagrams of the present disclosure and are not necessarily drawn to scale. Some of the block diagrams shown in the accompanying drawings may be functional entities and do not necessarily correspond to physically or logically independent entities. These functional entities can be implemented in software form, or in hardware modules or integrated circuits, or in networks, processors or microcontrollers. The embodiments can be implemented in various forms and should not be construed as being limited to the examples set forth herein. The features, structures or characteristics described in the present disclosure may be combined in one or more embodiments in any suitable manner. In the description below, many specific details are provided to provide a full description of the embodiments of the present disclosure. However, those skilled in the art should appreciate that one or more specific details may be omitted when implementing the technical solution of the present disclosure, or one or more specific details may be replaced by other methods, components, devices, steps, etc.

[0018] An exemplary embodiment of the present disclosure provides a method for predicting safety risks of offshore photovoltaics, aiming to reduce the risks of offshore photovoltaic projects and improve safety.

[0019] Figure 1 The scene architecture of this exemplary embodiment is shown. The scene architecture 100 may include construction areas 1101, 1102, 1103, and a project center 120. Among them, the construction site of the offshore photovoltaic project is relatively complex, involving offshore construction areas (such as construction area 1101), construction areas at the junction of sea and land (such as construction area 1102), and land construction areas (such as construction area 1103). In addition, the types of operations in different construction areas are usually different. This exemplary embodiment can manage each construction area 1101, 1102, and 1103 separately. The project center 120 is the central part of the entire scene architecture 100, which is used to monitor, predict safety risks, issue alarms, and perform other management on the construction areas 1101, 1102, and 1103. The project center 120 can be located at a construction command site on land or on a water platform, and it can include one or more components of a server, a database, a project center terminal, and a monitoring screen. Wireless or wired communication links may be deployed between the construction areas 1101 , 1102 , 1103 and the project center 120 to achieve data transmission. The method in this exemplary embodiment may be executed by the project center 120 .

[0020] In one implementation, the safety risk prediction method for offshore photovoltaics can refer to Figure 2 As shown, the following steps S210 to S240 are included:

[0021] Step S210, obtaining location information of multiple construction areas at the offshore photovoltaic construction site, and determining the distance between each construction area and the sea area according to the location information of each construction area;

[0022] Step S220, determining the risk factor of each construction area according to the distance between each construction area and the sea area and the operation type of each construction area, and determining the alarm threshold according to the risk factor of each construction area;

[0023] Step S230, obtaining monitoring information of each construction area, and predicting the safety risk value of each construction area according to the monitoring information;

[0024] Step S240, in response to the safety risk value of any construction area reaching the alarm threshold of the construction area, generating alarm information for the construction area.

[0025] based on Figure 2 According to the method, the location information of multiple construction areas of the offshore photovoltaic construction site is obtained, and the distance between each construction area and the sea area is determined according to the location information of each construction area; the risk coefficient of each construction area is determined according to the distance between each construction area and the sea area and the operation type of each construction area, and the alarm threshold is determined according to the risk coefficient of each construction area; the monitoring information of each construction area is obtained, and the safety risk value of each construction area is predicted according to the monitoring information; in response to the safety risk value of any construction area reaching the alarm threshold of the construction area, an alarm information for the construction area is generated. In this way, according to the location characteristics and operation types of different construction areas, appropriate safety risk alarm intensity can be adopted, and the safety risk value can be predicted according to the monitoring information of the construction area, and the corresponding alarm information can be generated when the safety risk value reaches the alarm threshold, which is conducive to timely discovery of potential safety risks, and is convenient for taking disposal measures to reduce or eliminate safety hazards, thereby improving the safety of offshore photovoltaic projects.

[0026] Below Figure 2 Provide detailed instructions for each step.

[0027] refer to Figure 2 In step S210, the location information of multiple construction areas of the offshore photovoltaic construction site is obtained, and the distance between each construction area and the sea area is determined according to the location information of each construction area.

[0028] Among them, the distance between the construction area and the coastline, that is, the distance between the construction area and the sea area, can be determined based on the location information of the construction area. For example, the distance between the construction area on land and the sea area is a positive value; the distance between the construction area located at the junction of land and water and the sea area is a positive value or 0; the distance between the construction area located at sea and the sea area can be 0 or a negative value. In one embodiment, the distance between the construction area located at sea and the sea area can be the opposite of the water depth. For example, if a construction area is located in a sea area with a water depth of 10 meters, its distance from the sea area can be -10 meters.

[0029] Continue to refer Figure 2 In step S220, the risk coefficient of each construction area is determined according to the distance between each construction area and the sea area and the operation type of each construction area, and the alarm threshold is determined according to the risk coefficient of each construction area.

[0030] Among them, the risk coefficient indicates the degree to which the construction area is prone to risk, and the warning threshold is the threshold used to measure the safety risk value. When the safety risk value reaches the warning threshold, it means that the construction area has a high probability of risk or there are serious safety hazards. Generally, the higher the risk coefficient, the lower the warning threshold, which means that stricter safety control measures are taken for the construction area.

[0031] The distance between the construction area and the sea area and the risk coefficient may be negatively correlated, that is, the smaller the distance, the closer the construction area is to the sea area, and the higher the corresponding risk coefficient. In addition, the risk coefficient is also related to the type of operation in the construction area. Different types of operations have different risk levels. The higher the risk level, the higher the risk coefficient of the construction area. This exemplary embodiment can determine the risk coefficient of each construction area by combining the two factors of the distance between the construction area and the sea area and the type of operation in the construction area.

[0032] In one embodiment, reference Figure 3 As shown, the above-mentioned determination of the risk factor of each construction area according to the distance between each construction area and the sea area and the operation type of each construction area may include the following steps S310 to S330:

[0033] Step S310, setting the highest risk coefficient corresponding to the case where the distance between the construction area and the sea area is 0 and the operation type is the highest risk operation type;

[0034] Step S320, setting first risk attenuation values ​​corresponding to different distances, and setting second risk attenuation values ​​corresponding to different operation types;

[0035] Step S330, determines the first risk attenuation value and the second risk attenuation value corresponding to each construction area according to the distance between each construction area and the sea area and the operation type of each construction area, and performs attenuation based on the highest risk coefficient to obtain the risk coefficient of each construction area.

[0036] It can be understood that if the distance between a construction area and the sea area is 0, and the operation type of the construction area is the highest risk operation type, this situation is called the highest risk situation. In the highest risk situation, the construction area has the highest risk coefficient. The value of the highest risk coefficient can be set in advance, and can be set according to experience or specific circumstances, such as setting the highest risk coefficient to 5. In addition, the first risk attenuation value corresponding to different distances can be set to indicate the degree of decrease in the risk coefficient as the construction area becomes farther and farther from the sea area, such as setting the attenuation value of every 50 meters or every 100 meters to 1. The second risk attenuation value corresponding to different operation types can also be set, such as the attenuation value of the risk coefficient is 1 for each level of risk level decrease. In this way, according to the distance between each construction area and the sea area and the operation type of each construction area, the first risk attenuation value and the second risk attenuation value of each construction area compared with the highest risk situation can be determined, and the attenuation is performed on the basis of the highest risk coefficient, thereby obtaining the risk coefficient of each construction area. In this way, the risk coefficient of each construction area can be accurately evaluated.

[0037] In one embodiment, the first risk attenuation value and the second risk attenuation value corresponding to each construction area are determined according to the distance between each construction area and the sea area and the operation type of each construction area, and the risk coefficient of each construction area is obtained by performing attenuation based on the highest risk coefficient, which may include the following steps:

[0038] According to the distance between each construction area and the sea area and the operation type of each construction area, the first risk attenuation value and the second risk attenuation value corresponding to each construction area are determined, and the minimum value is selected. The risk coefficient of each construction area is obtained by subtracting the minimum value from the highest risk coefficient.

[0039] For example, the distance between a construction area and the sea is 300 meters, and the corresponding first risk attenuation value is 3. The risk level of its operation type is one level lower than the highest risk level, and the corresponding second risk attenuation value is 1. The minimum value 1 is taken, and the maximum risk coefficient 5 minus the minimum value 1, and the risk coefficient of the construction area is 4. It can be seen that by selecting the minimum value of the first risk attenuation value and the second risk attenuation value, subtracting the minimum value from the maximum risk coefficient, and obtaining the risk coefficient of each construction area, it can be ensured that the construction area has a higher risk coefficient, that is, after comprehensively considering the distance between the construction area and the sea area and the operation type of the construction area, more attention is paid to the factors that are prone to cause safety risks, and more stringent risk control measures are tended to be taken to ensure safety.

[0040] When the risk coefficient is determined, the corresponding alarm threshold can be further determined. For example, a mapping relationship between the risk coefficient and the alarm threshold can be preset, and the two can be a negative correlation relationship, such as a negative linear function relationship. Based on the mapping relationship, the alarm threshold corresponding to the risk coefficient of each construction area can be calculated, thereby obtaining the alarm threshold of each construction area.

[0041] Continue to refer Figure 2 In step S230, the monitoring information of each construction area is obtained, and the safety risk value of each construction area is predicted based on the monitoring information.

[0042] For example, the safety risk value can be determined based on the degree to which the monitoring information deviates from the standard value or standard range. The higher the degree of deviation, the higher the safety risk value.

[0043] In one implementation, monitoring information of each construction area is obtained, and the safety risk value of each construction area is predicted based on the monitoring information, including:

[0044] Determine the monitoring period of each construction area based on the historical alarm information of each construction area;

[0045] The monitoring information of each construction area is obtained according to the monitoring period of each construction area, and the safety risk value of each construction area is predicted based on the monitoring information.

[0046] The monitoring cycle can be regarded as the size of the time window. Each time, the monitoring information within the time window is analyzed to predict the safety risk value. The historical alarm frequency can be counted based on the historical alarm information of each construction area. The more frequent the alarm is, the shorter the monitoring cycle should be. Correspondingly, the less frequent the alarm is, the longer the monitoring cycle should be to reduce the pressure of communication and data processing.

[0047] Exemplarily, a pre-trained alarm analysis model (a machine learning model) can be used to analyze the historical alarm information of each construction area and output the monitoring period of each construction area.

[0048] In one embodiment, reference Figure 4 As shown, the above-mentioned acquisition of monitoring information of each construction area and prediction of the safety risk value of each construction area according to the monitoring information may include the following steps S410 to S440:

[0049] Step S410, obtaining environmental monitoring information and operation monitoring information of each construction area;

[0050] Step S420, determining a first safety risk value for each construction area according to the environmental monitoring information;

[0051] Step S430, determining a second safety risk value of each construction area according to the operation monitoring information;

[0052] Step S440: determining a final safety risk value according to the first safety risk value and the second safety risk value of each construction area.

[0053] Among them, environmental monitoring information is information that monitors various environmental factors, such as temperature, light, surge, tide, precipitation and other information, reflecting changes in the environment. Operation monitoring information is information that monitors indicators and parameters during the operation process, such as operation duration, the location and angle of a certain operation object, equipment parameters, etc., reflecting the actual operation situation. The first safety risk value of each construction area is determined based on the environmental monitoring information, which can represent the risks and hidden dangers brought by the environment. The second safety risk value of each construction area is determined based on the operation monitoring information, which represents the risks and hidden dangers caused by the operation process. For example, when the construction personnel's operations are not standardized, some operation monitoring information may deviate from normal, thereby determining the second safety risk value, indicating that there are safety hazards in the operation.

[0054] In one embodiment, a pre-trained first risk prediction model (a machine learning model) can be used to process environmental monitoring information, such as inputting the environmental monitoring information into the first risk prediction model and outputting a first safety risk value.

[0055] In one embodiment, a pre-trained second risk prediction model (a machine learning model) may be used to process the operation monitoring information, such as inputting the operation monitoring information into the second risk prediction model and outputting a second safety risk value.

[0056] When the first risk prediction value and the second risk prediction value are determined, the two can be combined to obtain a final safety risk value. For example, the two can be added together, or an average value can be calculated to obtain the final safety risk value.

[0057] In one implementation, the above-mentioned determination of the final safety risk value according to the first safety risk value and the second safety risk value of each construction area may include the following steps:

[0058] Determine the risk prediction weight of each construction area based on the distance between each construction area and the sea area;

[0059] The first safety risk value and the second safety risk value of each construction area are weighted according to the risk prediction weight of each construction area to obtain a final safety risk value of each construction area.

[0060] Among them, the risk prediction weight is used to balance the risks caused by the environment and the risks caused by the operation in the final safety risk value, and may include a first weight corresponding to the first safety risk value and a second weight corresponding to the second safety risk value, and the sum of the first weight and the second weight may be 1. If the distance between the construction area and the sea area is far, it indicates that it is less affected by the environment. The first weight can be appropriately reduced and the second weight can be increased, indicating that more attention is paid to the risks caused by the operation. If the distance between the construction area and the sea area is close, it indicates that it is more affected by the environment. The first weight can be appropriately increased and the second weight can be reduced, indicating that the attention to the risks caused by the environment is increased. Exemplarily, the maximum value of the first weight can be set to 0.6 and the minimum value can be set to 0.2 (that is, the minimum value of the second weight is 0.4 and the maximum value is 0.8), and the attenuation relationship between the distance between the construction area and the sea area and the first weight is set, that is, as the distance increases, the attenuation degree of the first weight, such as every 50 meters increase in distance, the first weight decreases by 0.1. Therefore, the first weight and the second weight of each construction area can be calculated according to the distance between each construction area and the sea area, and the first safety risk value and the second safety risk value are weighted to obtain the final safety risk value of each construction area.

[0061] Continue to refer Figure 2 In step S240, in response to the safety risk value of any construction area reaching the alarm threshold of the construction area, alarm information for the construction area is generated.

[0062] It should be understood that if only one security risk value (such as the first security risk value or the second security risk value) is predicted in step S230, the security risk value is compared with the warning threshold to determine whether to generate a warning message. If multiple security risk values ​​(such as the first security risk value and the second security risk value) are predicted, the final security risk value is calculated, the final security risk value is compared with the warning threshold to determine whether to generate a warning message.

[0063] In response to the safety risk value of any construction area reaching the alarm threshold of the construction area, indicating that there is a high safety risk in the construction area, an alarm message for the construction area can be generated and sent to relevant personnel in the construction area, such as to the construction personnel’s mobile phones, work computers in the construction area and other terminal devices, to serve as an early warning.

[0064] In one embodiment, the security risk prediction method may further include the following steps:

[0065] In response to the safety risk value of any construction area reaching the alarm threshold of the construction area, in the case where alarm information for the construction area is generated, risk warning information for other construction areas is also generated.

[0066] Among them, the warning level of risk warning information is lower than that of warning information. It is used to remind other construction areas to pay attention to and eliminate related safety hazards, so as to prevent them from happening.

[0067] The exemplary embodiment of the present disclosure also provides a safety risk prediction device for offshore photovoltaics, referring to Figure 5 As shown, the security risk prediction device 500 may include the following program modules:

[0068] The location information processing module 510 is configured to obtain location information of multiple construction areas at the offshore photovoltaic construction site, and determine the distance between each construction area and the sea area according to the location information of each construction area;

[0069] The risk factor processing module 520 is configured to determine the risk factor of each construction area according to the distance between each construction area and the sea area and the operation type of each construction area, and determine the alarm threshold according to the risk factor of each construction area;

[0070] The safety monitoring module 530 is configured to obtain monitoring information of each construction area and predict the safety risk value of each construction area according to the monitoring information;

[0071] The alarm processing module 540 is configured to generate alarm information for any construction area in response to the safety risk value of the construction area reaching the alarm threshold of the construction area.

[0072] In one implementation, the acquiring monitoring information of each construction area and predicting the safety risk value of each construction area according to the monitoring information includes:

[0073] Obtain environmental monitoring information and operation monitoring information for each construction area;

[0074] Determine a first safety risk value for each construction area according to the environmental monitoring information;

[0075] Determine a second safety risk value for each construction area according to the operation monitoring information;

[0076] A final safety risk value is determined according to the first safety risk value and the second safety risk value of each construction area.

[0077] In one implementation, determining the final safety risk value according to the first safety risk value and the second safety risk value of each construction area includes:

[0078] Determine the risk prediction weight of each construction area based on the distance between each construction area and the sea area;

[0079] The first safety risk value and the second safety risk value of each construction area are weighted according to the risk prediction weight of each construction area to obtain a final safety risk value of each construction area.

[0080] In one embodiment, the risk factor of each construction area is determined according to the distance between each construction area and the sea area and the operation type of each construction area, including:

[0081] Set the highest risk coefficient when the distance between the construction area and the sea area is 0 and the operation type is the highest risk operation type;

[0082] Setting first risk attenuation values ​​corresponding to different distances, and setting second risk attenuation values ​​corresponding to different operation types;

[0083] According to the distance between each construction area and the sea area and the operation type of each construction area, the first risk attenuation value and the second risk attenuation value corresponding to each construction area are determined, and the risk coefficient of each construction area is obtained by attenuating based on the highest risk coefficient.

[0084] In one embodiment, the first risk attenuation value and the second risk attenuation value corresponding to each construction area are determined according to the distance between each construction area and the sea area and the operation type of each construction area, and the risk coefficient of each construction area is obtained by performing attenuation based on the highest risk coefficient, including:

[0085] According to the distance between each construction area and the sea area and the operation type of each construction area, the first risk attenuation value and the second risk attenuation value corresponding to each construction area are determined, and the minimum value is selected. The risk coefficient of each construction area is obtained by subtracting the minimum value from the highest risk coefficient.

[0086] In one implementation, the acquiring monitoring information of each construction area and predicting the safety risk value of each construction area according to the monitoring information includes:

[0087] Determine the monitoring period of each construction area based on the historical alarm information of each construction area;

[0088] The monitoring information of each construction area is obtained according to the monitoring period of each construction area, and the safety risk value of each construction area is predicted based on the monitoring information.

[0089] In one embodiment, the alarm processing module 540 is also configured to: in response to the safety risk value of any construction area reaching the alarm threshold of the construction area, generate alarm information for the construction area, and also generate risk warning information for other construction areas.

[0090] The specific details of each part of the above-mentioned device have been described in detail in the implementation method of the method part. The undisclosed details can be found in the implementation method of the method part, so they will not be repeated here.

[0091] 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 exemplary 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. Conversely, the features and functions of one module or unit described above can be further divided into multiple modules or units to be embodied.

[0092] The exemplary embodiments of the present disclosure also provide a computer program product, which includes a computer program, and the computer program implements the above method when executed by a processor.

[0093] In one embodiment, a computer program product may be a tangible product containing a computer program, such as a computer-readable storage medium storing a computer program. The readable storage medium may be a storage medium based on electrical, magnetic, optical, electromagnetic, infrared, or other signals, including but not limited to: random access memory (RAM), read-only memory (ROM), magnetic tape, floppy disk, flash memory (Flash), hard disk drive (HDD), solid state disk (SSD), and the like. Exemplarily, a computer program product may be implemented as a non-volatile storage medium storing a computer program, such as a read-only memory, a NAND flash memory, and the like.

[0094] In one embodiment, the computer program product may be an intangible product including a computer program. Exemplarily, the computer program product may be implemented as a virtual digital product, such as a digital file storing an executable file, an installation package, etc. of the computer program.

[0095] The code of the computer program can be written in one or more programming languages. Programming languages ​​such as C language, Java, C++, etc. The program code can be executed completely on the user computing device, or partially on the user computing device, or as an independent software package, or partially on the user computing device and partially on the remote computing device, or completely on the remote computing device or server. In the case of a remote computing device, the remote computing device can be connected to the user computing device through any type of network, such as a local area network (LAN), a wide area network (WAN), etc., or can be connected to an external computing device (for example, through an Internet connection provided by an operator).

[0096] The computer program can be carried or transmitted by electrical, magnetic, optical, electromagnetic, infrared and other signals. The electronic device can convert the signal carrying the computer program into a digital signal, and then run the computer program. When the computer program is running on the electronic device, its code is used to make the electronic device execute (more specifically, the processor of the electronic device can execute) the method steps of various exemplary embodiments of the present disclosure, such as the following steps: Step S210, obtain the location information of multiple construction areas of the offshore photovoltaic construction site, and determine the distance between each construction area and the sea area according to the location information of each construction area; Step S220, determine the risk factor of each construction area according to the distance between each construction area and the sea area and the operation type of each construction area, and determine the alarm threshold according to the risk factor of each construction area; Step S230, obtain the monitoring information of each construction area, and predict the safety risk value of each construction area according to the monitoring information; Step S240, in response to the safety risk value of any construction area reaching the alarm threshold of the construction area, generate alarm information for the construction area.

[0097] The above method is implemented based on a computer program, and the location information of multiple construction areas at the offshore photovoltaic construction site is obtained. The distance between each construction area and the sea area is determined according to the location information of each construction area; the risk coefficient of each construction area is determined according to the distance between each construction area and the sea area and the operation type of each construction area, and the alarm threshold is determined according to the risk coefficient of each construction area; the monitoring information of each construction area is obtained, and the safety risk value of each construction area is predicted according to the monitoring information; in response to the safety risk value of any construction area reaching the alarm threshold of the construction area, an alarm message for the construction area is generated. In this way, it is possible to adopt appropriate safety risk alarm intensity according to the location characteristics and operation types of different construction areas, and predict the safety risk value according to the monitoring information of the construction area, and generate corresponding alarm information when the safety risk value reaches the alarm threshold, which is conducive to timely discovery of potential safety risks, and to facilitate the adoption of disposal measures to reduce or eliminate safety hazards, thereby improving the safety of offshore photovoltaic projects.

[0098] The exemplary embodiments of the present disclosure also provide an electronic device. The electronic device may include a processor and a memory. The memory stores executable instructions of the processor, such as a computer program. The processor executes the method steps of various exemplary embodiments of the present disclosure by executing the executable instructions.

[0099] Reference below Figure 6 , the electronic device is exemplarily described in the form of a general-purpose computing device. It should be understood that Figure 6 The electronic device 600 shown is only an example and should not limit the functions and scope of use of the embodiments of the present disclosure.

[0100] like Figure 6 As shown, the electronic device 600 may include: a processor 610 , a memory 620 , a bus 630 , an I / O (input / output) interface 640 , and a network adapter 650 .

[0101] The memory 620 may include a volatile memory, such as a RAM 621, a cache unit 622, and may also include a non-volatile memory, such as a ROM 623. The memory 620 may also include one or more program modules 624, such program modules 624 including but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which or a combination thereof may include the implementation of a network environment. For example, the program module 624 may include each module in the above-mentioned device.

[0102] The processor 610 may include one or more processing units. For example, the processor 610 may include an AP (Application Processor), a modem processor, a GPU (Graphics Processing Unit), an ISP (Image Signal Processor), a controller, an encoder, a decoder, a DSP (Digital Signal Processor), a baseband processor and / or an NPU (Neural-Network Processing Unit) and other processing units.

[0103] The processor 610 can be used to execute executable instructions stored in the memory 620, which may include method steps of various exemplary embodiments of the present disclosure, such as executing the following steps: Step S210, obtaining location information of multiple construction areas of the offshore photovoltaic construction site, and determining the distance between each construction area and the sea area based on the location information of each construction area; Step S220, determining the risk factor of each construction area based on the distance between each construction area and the sea area and the operation type of each construction area, and determining the alarm threshold based on the risk factor of each construction area; Step S230, obtaining monitoring information of each construction area, and predicting the safety risk value of each construction area based on the monitoring information; Step S240, in response to the safety risk value of any construction area reaching the alarm threshold of the construction area, generating alarm information for the construction area.

[0104] Based on the processor 610 executing the above method, the location information of multiple construction areas of the offshore photovoltaic construction site is obtained, and the distance between each construction area and the sea area is determined according to the location information of each construction area; the risk coefficient of each construction area is determined according to the distance between each construction area and the sea area and the operation type of each construction area, and the alarm threshold is determined according to the risk coefficient of each construction area; the monitoring information of each construction area is obtained, and the safety risk value of each construction area is predicted according to the monitoring information; in response to the safety risk value of any construction area reaching the alarm threshold of the construction area, an alarm message for the construction area is generated. In this way, it is possible to adopt appropriate safety risk alarm intensity according to the location characteristics and operation types of different construction areas, predict the safety risk value according to the monitoring information of the construction area, and generate corresponding alarm information when the safety risk value reaches the alarm threshold, which is conducive to timely discovering potential safety risks, facilitating the adoption of disposal measures to reduce or eliminate safety hazards, and improving the safety of offshore photovoltaic projects.

[0105] The bus 630 is used to realize the connection between different components of the electronic device 600, and may include a data bus, an address bus, and a control bus.

[0106] The electronic device 600 can communicate with one or more external devices 700 (eg, a keyboard, a mouse, an external controller, etc.) through the I / O interface 640 .

[0107] The electronic device 600 can communicate with one or more networks through the network adapter 650. For example, the network adapter 650 can provide mobile communication solutions such as 3G / 4G / 5G, or provide wireless communication solutions such as wireless LAN, Bluetooth, near field communication, etc. The network adapter 650 can communicate with other modules of the electronic device 600 through the bus 630.

[0108] although Figure 6 Not shown, other hardware and / or software modules may also be provided in the electronic device 600, including but not limited to: a display, a microcode, a device driver, a redundant processor, an external disk drive array, a tape drive, and a data backup storage system.

[0109] As can be seen from the above, the technical solution of the present disclosure can be implemented as a method, an apparatus, a system, a computer program product, a storage medium, an electronic device, etc. Those skilled in the art can understand that various aspects of the present disclosure can be specifically implemented in the following forms, namely: a complete hardware implementation, a complete software implementation (including firmware, microcode, etc.), or an implementation combining hardware and software, such as being respectively referred to as a "circuit", "module" or "system".

[0110] It should be understood that the present disclosure is not limited to the specific method steps or structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from the scope thereof. Those skilled in the art will easily think of other embodiments based on the specific embodiments provided by the present disclosure. Therefore, the specific embodiments provided by the present disclosure are only exemplary, and the scope and spirit of the present disclosure are indicated by the claims, and any variations, uses or adaptive changes of the present disclosure should be covered, which follow the general principles of the present disclosure and include common knowledge or customary technical means in the technical field that are not disclosed in the present disclosure.

Claims

1. A method for predicting safety risks of offshore photovoltaics, characterized in that: The method comprises: Obtain location information of multiple construction areas at the offshore photovoltaic construction site, and determine the distance between each construction area and the sea area based on the location information of each construction area; Determine the risk factor of each construction area based on the distance between each construction area and the sea area and the type of operation in each construction area, and determine the alarm threshold based on the risk factor of each construction area; Acquire monitoring information of each construction area, and predict the safety risk value of each construction area based on the monitoring information; In response to the safety risk value of any construction area reaching the alarm threshold of the construction area, alarm information for the construction area is generated.

2. The method according to claim 1, characterized in that: The acquiring monitoring information of each construction area and predicting the safety risk value of each construction area according to the monitoring information includes: Obtain environmental monitoring information and operation monitoring information for each construction area; Determine a first safety risk value for each construction area according to the environmental monitoring information; Determine a second safety risk value for each construction area according to the operation monitoring information; A final safety risk value is determined according to the first safety risk value and the second safety risk value of each construction area.

3. The method according to claim 2, characterized in that Determining the final safety risk value according to the first safety risk value and the second safety risk value of each construction area includes: Determine the risk prediction weight of each construction area based on the distance between each construction area and the sea area; The first safety risk value and the second safety risk value of each construction area are weighted according to the risk prediction weight of each construction area to obtain a final safety risk value of each construction area.

4. The method according to claim 1, characterized in that The risk factor of each construction area is determined according to the distance between each construction area and the sea area and the type of operation in each construction area, including: Set the highest risk coefficient when the distance between the construction area and the sea area is 0 and the operation type is the highest risk operation type; Setting first risk attenuation values ​​corresponding to different distances, and setting second risk attenuation values ​​corresponding to different operation types; According to the distance between each construction area and the sea area and the operation type of each construction area, the first risk attenuation value and the second risk attenuation value corresponding to each construction area are determined, and the risk coefficient of each construction area is obtained by attenuating based on the highest risk coefficient.

5. The method according to claim 4, characterized in that The first risk attenuation value and the second risk attenuation value corresponding to each construction area are determined according to the distance between each construction area and the sea area and the operation type of each construction area, and the risk coefficient of each construction area is obtained by performing attenuation based on the highest risk coefficient, including: According to the distance between each construction area and the sea area and the operation type of each construction area, the first risk attenuation value and the second risk attenuation value corresponding to each construction area are determined, and the minimum value is selected. The risk coefficient of each construction area is obtained by subtracting the minimum value from the highest risk coefficient.

6. The method according to claim 1, characterized in that The acquiring monitoring information of each construction area and predicting the safety risk value of each construction area according to the monitoring information includes: Determine the monitoring period of each construction area based on the historical alarm information of each construction area; The monitoring information of each construction area is obtained according to the monitoring period of each construction area, and the safety risk value of each construction area is predicted based on the monitoring information.

7. The method according to claim 1, characterized in that The method further comprises: In response to the safety risk value of any construction area reaching the alarm threshold of the construction area, in the case where alarm information for the construction area is generated, risk warning information for other construction areas is also generated.

8. A safety risk prediction device for offshore photovoltaics, characterized in that: The device comprises: A location information processing module is configured to obtain location information of multiple construction areas at an offshore photovoltaic construction site, and determine the distance between each construction area and the sea area according to the location information of each construction area; The risk factor processing module is configured to determine the risk factor of each construction area according to the distance between each construction area and the sea area and the operation type of each construction area, and determine the alarm threshold according to the risk factor of each construction area; A safety monitoring module is configured to obtain monitoring information of each construction area and predict a safety risk value of each construction area based on the monitoring information; The alarm processing module is configured to generate alarm information for any construction area in response to the safety risk value of the construction area reaching the alarm threshold of the construction area.

9. A computer program product, characterized in that The invention comprises a computer program, which implements the method according to any one of claims 1 to 7 when being executed by a processor.

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 perform the method of any one of claims 1 to 7 by executing the executable instructions.

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