Offshore wind power operation risk assessment method and device, storage medium and electronic device

Abstract

The invention discloses an offshore wind power operation risk assessment method, and the method comprises the steps: determining a plurality of to-be-assessed offshore operation activities; for any one of the multiple offshore operation activities, risk assessment is carried out on the targeted offshore operation activity based on multiple preset assessment dimensions, and assessment indexes of the targeted offshore operation activity under the multiple assessment dimensions are determined; determining a risk level corresponding to the targeted offshore operation activity based on the assessment indexes of the targeted offshore operation activity under the plurality of assessment dimensions; according to the risk level corresponding to the targeted offshore operation activity, determining early warning information of the targeted offshore operation activity; the early warning information is used for indicating operation and maintenance equipment to carry out operation and maintenance processing on the targeted offshore operation activities. The problem that the accuracy of offshore wind power operation risk assessment is low in the prior art is solved.

Description

Technical Field

[0001] The present application relates to the technical field of offshore wind power operations, and in particular to an offshore wind power operation risk assessment method and device, a storage medium, and an electronic device. Background Art

[0002] In recent years, the global demand for renewable energy has been growing. As an important clean energy, offshore wind power has been rapidly developed and applied due to its abundant resources, high power generation efficiency and low environmental impact. The construction of offshore wind farms can not only promote the transformation of energy structure, but also promote technological progress of related industries and sustainable economic development. However, the construction and operation of offshore wind power projects face more complex and special environmental challenges, including but not limited to harsh marine climate, complex underwater geological conditions, and operating locations far from land. These factors significantly increase the safety risks of offshore wind power operations.

[0003] At present, the risk assessment of offshore wind power operations mainly adopts qualitative or semi-quantitative analysis methods such as risk matrix method, fault tree analysis (FTA), accident tree analysis (ETA), etc. These methods can identify and assess potential risks to a certain extent, but there are some limitations in practical application. For example, they often rely on the subjective judgment of experts and it is difficult to fully and accurately reflect the actual risk level of various operation activities.

[0004] Therefore, how to accurately conduct risk assessment on offshore wind power operations has become an urgent problem to be solved. Summary of the invention

[0005] The embodiment of the present application provides a method for risk assessment of offshore wind power operations, so as to at least solve the problem of low accuracy of risk assessment of offshore wind power operations in the related art.

[0006] According to an embodiment of the embodiments of the present application, a method for risk assessment of offshore wind power operations is provided, including: determining multiple offshore operation activities to be evaluated; for any one of the multiple offshore operation activities, based on multiple preset evaluation dimensions, performing a risk assessment on the targeted offshore operation activity, and determining an evaluation index for the targeted offshore operation activity under the multiple evaluation dimensions; based on the evaluation index of the targeted offshore operation activity under the multiple evaluation dimensions, determining a risk level corresponding to the targeted offshore operation activity; according to the risk level corresponding to the targeted offshore operation activity, determining early warning information for the targeted offshore operation activity; the early warning information is used to instruct operation and maintenance equipment to perform operation and maintenance processing on the targeted offshore operation activity.

[0007] In an exemplary embodiment, the assessment dimensions include a fault dimension, an environmental dimension, and a result dimension; based on the preset multiple assessment dimensions, a risk assessment is performed on the targeted offshore operation activities, and an assessment index of the targeted offshore operation activities under the multiple assessment dimensions is determined, including: based on the fault dimension, the environmental dimension, and the result dimension, a risk assessment is performed on the targeted offshore operation activities, and a fault index of the targeted offshore operation activities under the fault dimension, an environmental index of the targeted offshore operation activities under the environmental dimension, and a result index of the targeted offshore operation activities under the result dimension are determined; based on the fault index of the targeted offshore operation activities under the fault dimension, the environmental index of the targeted offshore operation activities under the environmental dimension, and the result index of the targeted offshore operation activities under the result dimension, an assessment index of the targeted offshore operation activities under the multiple assessment dimensions is determined.

[0008] In an exemplary embodiment, the risk assessment of the targeted offshore operation activities is performed based on the fault dimension, the environmental dimension and the result dimension respectively, and the fault index of the targeted offshore operation activities under the fault dimension, the environmental index under the environmental dimension, and the result index under the result dimension are determined, including: acquiring environmental data and operating data of the targeted offshore operation activities; under the fault dimension, inputting the environmental data and operating data into a pre-trained fault prediction model respectively to determine the fault index of the targeted offshore operation activities under the fault dimension; under the environmental dimension, inputting the environmental data and operating data into a pre-trained environmental prediction model respectively to determine the environmental index of the targeted offshore operation activities under the key dimension; under the result dimension, inputting the environmental data and operating data into a pre-trained result prediction model respectively to determine the result index of the targeted offshore operation activities under the result dimension.

[0009] In an exemplary embodiment, the assessment index includes a fault index, an environmental index and a result index; the risk level corresponding to the targeted offshore operation activity is determined based on the assessment index of the targeted offshore operation activity under the multiple assessment dimensions, including: determining the risk assessment value of the targeted offshore operation activity based on the fault index, the environmental index and the result index; determining the risk level corresponding to the targeted offshore operation activity based on the risk assessment value.

[0010] In an exemplary embodiment, determining the risk assessment value of the offshore operation activity based on the fault index, the environmental index and the result index includes: determining the risk assessment value of the offshore operation activity based on the product of the fault index, the environmental index and the result index.

[0011] In an exemplary embodiment, determining the risk level corresponding to the offshore operation activity based on the risk assessment value includes: comparing the risk assessment value with a preset risk threshold to obtain a comparison result; and determining the risk level corresponding to the offshore operation activity based on the comparison result.

[0012] In an exemplary embodiment, the risk threshold includes a first threshold, a second threshold, and a third threshold; wherein the first threshold is greater than the second threshold; the second threshold is greater than the third threshold; and determining the risk level corresponding to the offshore operation activity based on the comparison result includes: when the comparison result is that the risk assessment value is greater than the first threshold, determining the risk level to be the first risk level; when the comparison result is that the risk assessment value is between the first threshold and the second threshold, determining the risk level to be the second risk level; when the comparison result is that the risk assessment value is between the second threshold and the third threshold, determining the risk level to be the third risk level; when the comparison result is that the risk assessment value is less than the third threshold, determining the risk level to be the fourth risk level, wherein the danger level corresponding to the first risk level is higher than that of the second risk level, the danger level corresponding to the second risk level is higher than that of the third risk level, and the danger level corresponding to the third risk level is higher than that of the fourth risk level.

[0013] According to another embodiment of the embodiment of the present application, there is also provided an offshore wind power operation risk assessment device, including: an operation determination module, used to determine multiple offshore operation activities to be evaluated; an assessment module, used to perform a risk assessment on any one of the multiple offshore operation activities based on multiple preset assessment dimensions, and determine the assessment index of the offshore operation activity under the multiple assessment dimensions; a level determination module, used to determine the risk level corresponding to the offshore operation activity based on the assessment index of the offshore operation activity under the multiple assessment dimensions; an early warning determination module, used to determine early warning information for the offshore operation activity according to the risk level corresponding to the offshore operation activity; the early warning information is used to instruct the operation and maintenance equipment to perform operation and maintenance processing on the offshore operation activity.

[0014] According to another aspect of the embodiments of the present application, a computer-readable storage medium is provided, in which a computer program is stored, wherein the computer program is configured to execute the above method when running.

[0015] According to another aspect of the embodiments of the present application, an electronic device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the method through the computer program.

[0016] According to another aspect of the embodiments of the present application, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, the steps in any of the above method embodiments are implemented.

[0017] In an embodiment of the present application, multiple offshore operation activities to be evaluated are determined; for any one of the multiple offshore operation activities, a risk assessment is performed on the targeted offshore operation activity based on multiple preset assessment dimensions, and an assessment index of the targeted offshore operation activity under the multiple assessment dimensions is determined; based on the assessment index of the targeted offshore operation activity under the multiple assessment dimensions, the risk level corresponding to the targeted offshore operation activity is determined; according to the risk level corresponding to the targeted offshore operation activity, early warning information for the targeted offshore operation activity is determined; the early warning information is used to instruct the operation and maintenance equipment to perform operation and maintenance processing on the targeted offshore operation activity. In the process of risk assessment, by determining the assessment index of the offshore operation activity from multiple assessment dimensions, the risk assessment process can be made more scientific and systematic, the influence of subjective judgment is reduced, the accuracy of risk identification and assessment is improved, and the risk level is further determined based on the assessment index, and early warning information is generated through the risk level, thereby improving the pertinence and effectiveness of safety management. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0019] Figure 1 It is a hardware structure block diagram of a computer terminal of an offshore wind power operation risk assessment method according to an embodiment of the present application;

[0020] Figure 2 is a flow chart of a method for risk assessment of offshore wind power operations according to an embodiment of the present application;

[0021] Figure 3 It is a structural block diagram of an offshore wind power operation risk assessment device according to an embodiment of the present application. DETAILED DESCRIPTION

[0022] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0023] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products, or devices; "plurality" means two or more.

[0024] The method embodiments provided in the embodiments of the present application can be executed in a computer terminal or similar computing device or cloud platform or independent physical server or software platform, wherein the above software platform is run through one or more servers. Taking running on a computer terminal as an example, Figure 1 1 is a hardware structure diagram of a method for risk assessment of offshore wind power operations according to an embodiment of the present application. Figure 1 As shown, the computer terminal may include one or more ( Figure 1 Only one is shown in the figure) processor 102 and memory 104 for storing data. In an exemplary embodiment, the computer terminal may also include a transmission device 106 for communication functions and an input and output device 108, wherein the processor 102 may include but is not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA. A person skilled in the art can understand that Figure 1 The structure shown is only for illustration and does not limit the structure of the above-mentioned computer terminal. Figure 1 More or fewer components as shown, or with Figure 1 Equivalent functions or comparisons shown Figure 1 A different configuration with more features is shown.

[0025] The memory 104 can be used to store computer programs, for example, software programs and modules of application software, such as computer programs corresponding to the methods in the embodiments of the present application. The processor 102 executes various functional applications and data processing by running the computer programs stored in the memory 104, that is, the above-mentioned methods are implemented. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include a memory remotely arranged relative to the processor 102, and these remote memories may be connected to the computer terminal via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0026] The transmission device 106 is used to receive or send data via a network. The specific example of the above network may include a wireless network provided by a communication provider of a computer terminal. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, referred to as NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device 106 can be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0027] In this embodiment, a risk assessment method for offshore wind power operations is provided, which is applied to the above-mentioned computer device. Figure 2 : is a flow chart of a method for risk assessment of offshore wind power operations according to an embodiment of the present application, the process comprising the following steps:

[0028] Step S202, determining a plurality of offshore operations to be evaluated;

[0029] Step S204, for any one of the multiple offshore operation activities, based on multiple preset assessment dimensions, performing a risk assessment on the targeted offshore operation activity, and determining an assessment index of the targeted offshore operation activity under the multiple assessment dimensions;

[0030] Step S206: determining the risk level corresponding to the offshore operation activity based on the assessment index of the offshore operation activity under the multiple assessment dimensions.

[0031] Step S208, determining early warning information for the targeted offshore operation activity according to the risk level corresponding to the targeted offshore operation activity; the early warning information is used to instruct the operation and maintenance equipment to perform operation and maintenance processing on the targeted offshore operation activity.

[0032] In the above steps S202-S208, multiple offshore operation activities to be evaluated are determined; for any one of the multiple offshore operation activities, a risk assessment is performed on the targeted offshore operation activity based on multiple preset assessment dimensions, and an assessment index of the targeted offshore operation activity under the multiple assessment dimensions is determined; based on the assessment index of the targeted offshore operation activity under the multiple assessment dimensions, the risk level corresponding to the targeted offshore operation activity is determined; according to the risk level corresponding to the targeted offshore operation activity, early warning information for the targeted offshore operation activity is determined; the early warning information is used to instruct the operation and maintenance equipment to perform operation and maintenance processing on the targeted offshore operation activity. In the process of risk assessment, by determining the assessment index of the offshore operation activity from multiple assessment dimensions, the risk assessment process can be made more scientific and systematic, the influence of subjective judgment is reduced, the accuracy of risk identification and assessment is improved, and the risk level is further determined based on the assessment index, and early warning information is generated through the risk level, thereby improving the pertinence and effectiveness of safety management.

[0033] In an exemplary embodiment, the assessment dimensions include a fault dimension, an environmental dimension, and a result dimension; based on the preset multiple assessment dimensions, a risk assessment is performed on the targeted offshore operation activities, and an assessment index of the targeted offshore operation activities under the multiple assessment dimensions is determined, including: based on the fault dimension, the environmental dimension, and the result dimension, a risk assessment is performed on the targeted offshore operation activities, and a fault index of the targeted offshore operation activities under the fault dimension, an environmental index of the targeted offshore operation activities under the environmental dimension, and a result index of the targeted offshore operation activities under the result dimension are determined; based on the fault index of the targeted offshore operation activities under the fault dimension, the environmental index of the targeted offshore operation activities under the environmental dimension, and the result index of the targeted offshore operation activities under the result dimension, an assessment index of the targeted offshore operation activities under the multiple assessment dimensions is determined.

[0034] It should be noted that the failure dimension represents the possibility of an accident (L, Likelih oo d), the environmental dimension refers to the frequency of exposure to dangerous environments (E, Exposure), and the result dimension refers to the consequences after the accident (C, Consequences).

[0035] As for the failure dimension, this dimension focuses on the possibility of equipment or system failure during offshore wind power operations. For each offshore operation activity, the types of equipment failures that may be encountered during construction and operation and maintenance, as well as the probability of these failures, can be analyzed. Equipment failures may include but are not limited to mechanical failures of wind turbines, electrical failures of power transmission systems, physical damage to submarine cables, etc. During the evaluation, experienced evaluators under the failure dimension will score the possibility of failure for each offshore operation activity based on historical data, equipment characteristics, and operating environment, thereby obtaining a failure index.

[0036] For the environmental dimension, the focus is on the frequency of equipment exposure to hazardous environments. The environment of offshore wind power operations is complex and changeable, including but not limited to harsh marine climate, strong winds and waves, uncertainty in underwater geological structures, and remote locations of operations. Based on the specific environment of offshore wind power operations, we evaluate the frequency and duration of exposure of operators and equipment to these hazardous environments when performing operational activities. The assessment of the environmental dimension needs to comprehensively consider factors such as the duration of the operation, weather forecasts, sea condition forecasts, and protective measures for personnel and equipment, thereby determining the environmental index.

[0037] For the outcome dimension, if an accident occurs, the severity of the consequences to personnel, equipment and projects. For offshore wind power operations, the consequences of an accident may include casualties, equipment damage, project delays, and potential impacts on the marine environment. When determining the outcome index, it is necessary to consider the worst-case scenario of the accident as well as the possible economic losses and environmental impacts. A quantitative outcome index is given based on the preset standards and the severity of the accident consequences.

[0038] The winning bid in the above embodiment combines the fault dimension, environmental dimension and result dimension, which can scientifically and comprehensively evaluate and manage the safety risks of offshore wind power operations, thereby formulating more reasonable and effective safety strategies for the construction and operation and maintenance of offshore wind power projects.

[0039] In an exemplary embodiment, the risk assessment of the targeted offshore operation activities is performed based on the fault dimension, the environmental dimension and the result dimension respectively, and the fault index of the targeted offshore operation activities under the fault dimension, the environmental index under the environmental dimension, and the result index under the result dimension are determined, including: acquiring environmental data and operating data of the targeted offshore operation activities; under the fault dimension, inputting the environmental data and operating data into a pre-trained fault prediction model respectively to determine the fault index of the targeted offshore operation activities under the fault dimension; under the environmental dimension, inputting the environmental data and operating data into a pre-trained environmental prediction model respectively to determine the environmental index of the targeted offshore operation activities under the key dimension; under the result dimension, inputting the environmental data and operating data into a pre-trained result prediction model respectively to determine the result index of the targeted offshore operation activities under the result dimension.

[0040] It should be noted that the fault prediction model can analyze the relationship between equipment failure and environmental data and operation data, and predict the possibility of equipment failure under specific conditions. The environmental prediction model can predict the degree of exposure of equipment to hazardous environments during offshore operations and predict the environmental risks of operations based on real-time environmental data. The result prediction model predicts the severity of the consequences that may be caused by an accident, including casualties, equipment damage, project delays, environmental impacts, etc.

[0041] Specifically, environmental data and operational data related to offshore operations are collected. Environmental data may include sea condition information (such as wave height, wind speed, temperature, etc.), marine biological activities, weather forecasts, etc.; operational data includes equipment operating status, maintenance records, operation time, operator skill level, etc. The fault prediction model can predict the possibility of equipment or system failure under specific circumstances by learning patterns and trends in historical data. The training data of the model can include cases of equipment failure in past offshore wind power operations, failure time, failure type, and information such as the environment and operating conditions at the time. The collected environmental data and operational data are input into the fault prediction model. The model predicts the probability of failure based on the input data, and then converts it into a failure index under the fault dimension. This index reflects the risk level of equipment failure under current conditions in the operation activity.

[0042] Similarly, environmental data and operational data related to offshore operations are collected, which will be used to assess the frequency and extent of exposure of operators or equipment to hazardous environments. Another environmental prediction model based on historical data and machine learning technology is constructed to predict the possibility and severity of exposure of operators or equipment to hazardous environments (such as bad weather, strong currents, etc.) under specific operating activities. The environmental data and operational data are input into the environmental prediction model, which analyzes the risk level of the operating activities under specific environmental conditions and outputs an environmental index under the environmental dimension. This index quantifies the environmental risks faced by the operating activities.

[0043] Environmental data and operational data related to offshore operations are collected to assess the severity of the possible consequences of the operations. The result prediction model is used to assess the severity of the consequences that may result from an accident during the operation, including casualties, equipment damage, project delays, environmental impacts, etc. The environmental data and operational data are input into the result prediction model, which analyzes the potential consequences of the operation under different circumstances and outputs a result index under the result dimension. This index reflects the severity of the possible consequences of the operation.

[0044] In the above embodiments, not only can more accurate and scientific risk prediction be performed based on the particularity of offshore wind power operations, but the timeliness and accuracy of risk assessment can also be improved through dynamic updating of machine learning models, providing strong safety guarantees for the construction and operation and maintenance of offshore wind power projects.

[0045] In an exemplary embodiment, the assessment index includes a fault index, an environmental index and a result index; the risk level corresponding to the targeted offshore operation activity is determined based on the assessment index of the targeted offshore operation activity under the multiple assessment dimensions, including: determining the risk assessment value of the targeted offshore operation activity based on the fault index, the environmental index and the result index; determining the risk level corresponding to the targeted offshore operation activity based on the risk assessment value.

[0046] In an exemplary embodiment, determining the risk assessment value of the offshore operation activity based on the fault index, the environmental index and the result index includes: determining the risk assessment value of the offshore operation activity based on the product of the fault index, the environmental index and the result index.

[0047] In an exemplary embodiment, determining the risk level corresponding to the offshore operation activity based on the risk assessment value includes: comparing the risk assessment value with a preset risk threshold to obtain a comparison result; and determining the risk level corresponding to the offshore operation activity based on the comparison result.

[0048] Specifically, the risk level corresponding to the offshore operation is determined by comparing the risk assessment value with the preset risk threshold. For example, if the risk assessment value is greater than 320, the operation is judged as a level 1 risk (major risk); if the assessment value is between 160 and 320, the operation is classified as a level 2 risk (relatively high risk); an assessment value between 70 and 160 corresponds to a level 3 risk (general risk); and an assessment value below 70 indicates a level 4 risk (low risk).

[0049] It is understandable that, according to the determined risk level, corresponding early warning information can be generated to guide the operation and maintenance equipment and personnel to take appropriate safety measures, such as adjusting the operation plan, increasing the frequency of safety inspections, and formulating emergency response plans in advance. The intelligent generation of early warning information makes the safety management of offshore wind power operations more timely and effective, reduces the risk of accidents, protects the lives of operators and the smooth progress of projects.

[0050] In an exemplary embodiment, the risk threshold includes a first threshold, a second threshold, and a third threshold; wherein the first threshold is greater than the second threshold; the second threshold is greater than the third threshold; and determining the risk level corresponding to the offshore operation activity based on the comparison result includes: when the comparison result is that the risk assessment value is greater than the first threshold, determining the risk level to be the first risk level; when the comparison result is that the risk assessment value is between the first threshold and the second threshold, determining the risk level to be the second risk level; when the comparison result is that the risk assessment value is between the second threshold and the third threshold, determining the risk level to be the third risk level; when the comparison result is that the risk assessment value is less than the third threshold, determining the risk level to be the fourth risk level, wherein the danger level corresponding to the first risk level is higher than that of the second risk level, the danger level corresponding to the second risk level is higher than that of the third risk level, and the danger level corresponding to the third risk level is higher than that of the fourth risk level.

[0051] It is understandable that in order to better understand the process of the above-mentioned offshore wind power operation risk assessment method, the above-mentioned offshore wind power operation risk assessment method is described below in combination with an optional embodiment, but it is not used to limit the technical solution of the embodiment of the present application.

[0052] As the global demand for clean energy continues to grow, offshore wind power has been widely used as an environmentally friendly and efficient way of generating electricity. However, due to the particularity and complexity of the construction and operation and maintenance environment of offshore wind farms, their safety risks are significantly higher than onshore wind power. Existing risk assessment methods are mostly based on qualitative analysis and lack scientific quantitative evaluation standards, making it difficult to accurately reflect the actual risk level of various operational activities. Therefore, there is an urgent need for a risk assessment strategy based on scientific quantitative methods to improve the safety of offshore wind power operations.

[0053] Existing technologies mainly rely on risk matrix method, fault tree analysis (FTA), accident tree analysis (ETA) and other methods, but these methods are highly subjective in practical applications and it is difficult to fully consider the interaction between risk factors. Due to the long construction and operation process of offshore wind power, many operating procedures, and a large number of corresponding risk sources. Refer to Table 1 for a reference table of different fault indexes, environmental indexes and result indexes:

[0054] Table 1

[0055]

[0056]

[0057] The risk evaluation value is represented by the product of three dimensions, namely, the product of the fault index, the environmental index and the result index. The determined risk level is shown in Table 2:

[0058] Table 2

[0059]

[0060] In summary, this application has achieved accurate quantitative assessment of safety risks of offshore wind power operations by constructing and using a multi-dimensional risk prediction model, providing a scientific basis for the classification of risk levels and the generation of early warning information, thereby greatly improving the construction and operation and maintenance safety of offshore wind power projects. Through this system, offshore wind power operation teams can manage safety risks more scientifically and proactively, ensuring the smooth progress of projects and the safety of personnel.

[0061] Through the description of the above implementation methods, those skilled in the art can clearly understand that the method according to the above embodiment can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes a number of instructions for a terminal device (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods of each embodiment of the present application.

[0062] The present application also provides a structural block diagram of an offshore wind power operation risk assessment device, Figure 3 is a structural block diagram of an offshore wind power operation risk assessment device according to an embodiment of the present application; Figure 3 As shown, including:

[0063] An operation determination module 32, for determining a plurality of offshore operation activities to be evaluated;

[0064] An assessment module 34 is used to perform a risk assessment on any one of the multiple offshore operation activities based on multiple preset assessment dimensions, and determine an assessment index of the offshore operation activity under the multiple assessment dimensions;

[0065] A level determination module 36, configured to determine a risk level corresponding to the offshore operation activity based on the assessment index of the offshore operation activity under the multiple assessment dimensions;

[0066] The warning determination module 38 is used to determine the warning information for the targeted offshore operation activities according to the risk level corresponding to the targeted offshore operation activities; the warning information is used to instruct the operation and maintenance equipment to perform operation and maintenance processing on the targeted offshore operation activities.

[0067] Through the above-mentioned device, multiple offshore operation activities to be evaluated are determined; for any one of the multiple offshore operation activities, based on multiple preset evaluation dimensions, a risk assessment is performed on the targeted offshore operation activity, and the evaluation index of the targeted offshore operation activity under the multiple evaluation dimensions is determined; based on the evaluation index of the targeted offshore operation activity under the multiple evaluation dimensions, the risk level corresponding to the targeted offshore operation activity is determined; according to the risk level corresponding to the targeted offshore operation activity, early warning information for the targeted offshore operation activity is determined; the early warning information is used to instruct the operation and maintenance equipment to perform operation and maintenance processing on the targeted offshore operation activity. In the process of risk assessment, by determining the evaluation index of the offshore operation activity from multiple evaluation dimensions, the risk assessment process can be made more scientific and systematic, the influence of subjective judgment is reduced, and the accuracy of risk identification and assessment is improved. Further, based on the evaluation index, the risk level is determined, and early warning information is generated through the risk level, which improves the pertinence and effectiveness of safety management.

[0068] In an exemplary embodiment, the assessment dimensions include a fault dimension, an environmental dimension, and a result dimension; the assessment module 34 is further used to perform risk assessment on the targeted offshore operation activities based on the fault dimension, the environmental dimension, and the result dimension, respectively, to determine the fault index of the targeted offshore operation activities under the fault dimension, the environmental index under the environmental dimension, and the result index under the result dimension; based on the fault index of the targeted offshore operation activities under the fault dimension, the environmental index under the environmental dimension, and the result index under the result dimension, determine the assessment index of the targeted offshore operation activities under the multiple assessment dimensions.

[0069] In an exemplary embodiment, the evaluation module 34 is also used to obtain the environmental data and operating data of the targeted offshore operation activities; under the fault dimension, the environmental data and operating data are respectively input into a pre-trained fault prediction model to determine the fault index of the targeted offshore operation activities under the fault dimension; under the environmental dimension, the environmental data and operating data are respectively input into a pre-trained environmental prediction model to determine the environmental index of the targeted offshore operation activities under the key dimension; under the result dimension, the environmental data and operating data are respectively input into a pre-trained result prediction model to determine the result index of the targeted offshore operation activities under the result dimension.

[0070] In an exemplary embodiment, the assessment index includes a fault index, an environmental index and a result index; the level determination module 36 is further used to determine the risk assessment value of the targeted offshore operation based on the fault index, the environmental index and the result index; based on the risk assessment value, determine the risk level corresponding to the targeted offshore operation.

[0071] In an exemplary embodiment, the level determination module 36 is further configured to determine the risk assessment value of the offshore operation activity based on the product of the fault index, the environment index and the result index.

[0072] In an exemplary embodiment, the level determination module 36 is further used to compare the risk assessment value with a preset risk threshold to obtain a comparison result; and based on the comparison result, determine the risk level corresponding to the targeted offshore operation activity.

[0073] In an exemplary embodiment, the risk threshold includes a first threshold, a second threshold, and a third threshold; wherein the first threshold is greater than the second threshold; the second threshold is greater than the third threshold; the level determination module 36 is also used to determine that the risk level is the first risk level when the comparison result is that the risk assessment value is greater than the first threshold; when the comparison result is that the risk assessment value is between the first threshold and the second threshold, determine the risk level to be the second risk level; when the comparison result is that the risk assessment value is between the second threshold and the third threshold, determine the risk level to be the third risk level; when the comparison result is that the risk assessment value is less than the third threshold, determine the risk level to be the fourth risk level, wherein the danger level corresponding to the first risk level is higher than that of the second risk level, the danger level corresponding to the second risk level is higher than that of the third risk level, and the danger level corresponding to the third risk level is higher than that of the fourth risk level.

[0074] An embodiment of the present application further provides a storage medium, which includes a stored program, wherein the program executes any of the above methods when it is run.

[0075] Optionally, in this embodiment, the storage medium may be configured to store program codes for executing the following steps:

[0076] S1, identify multiple offshore operations to be assessed;

[0077] S2, for any one of the multiple offshore operation activities, based on multiple preset assessment dimensions, performing a risk assessment on the targeted offshore operation activity, and determining an assessment index of the targeted offshore operation activity under the multiple assessment dimensions;

[0078] S3, determining a risk level corresponding to the offshore operation activity based on the assessment index of the offshore operation activity under the multiple assessment dimensions;

[0079] S4, determining early warning information for the targeted offshore operation activity according to the risk level corresponding to the targeted offshore operation activity; the early warning information is used to instruct operation and maintenance equipment to perform operation and maintenance processing on the targeted offshore operation activity.

[0080] An embodiment of the present application further provides an electronic device, including a memory and a processor, wherein a computer program is stored in the memory, and the processor is configured to run the computer program to execute the steps in any one of the above method embodiments.

[0081] Optionally, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor, and the input / output device is connected to the processor.

[0082] Optionally, in this embodiment, the processor may be configured to perform the following steps through a computer program:

[0083] S1, identify multiple offshore operations to be assessed;

[0084] S2, for any one of the multiple offshore operation activities, based on multiple preset assessment dimensions, performing a risk assessment on the targeted offshore operation activity, and determining an assessment index of the targeted offshore operation activity under the multiple assessment dimensions;

[0085] S3, determining a risk level corresponding to the offshore operation activity based on the assessment index of the offshore operation activity under the multiple assessment dimensions;

[0086] S4, determining early warning information for the targeted offshore operation activity according to the risk level corresponding to the targeted offshore operation activity; the early warning information is used to instruct operation and maintenance equipment to perform operation and maintenance processing on the targeted offshore operation activity.

[0087] Optionally, in this embodiment, the above-mentioned storage medium may include but is not limited to: a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk, and other media that can store program codes.

[0088] An embodiment of the present application further provides a computer program product, which includes a computer program. When the computer program is executed by a processor, the steps in any one of the above method embodiments are implemented.

[0089] An embodiment of the present application further provides another computer program product, including a non-volatile computer-readable storage medium, wherein the non-volatile computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in any of the above method embodiments are implemented.

[0090] An embodiment of the present application also provides a computer program, which includes computer instructions stored in a computer-readable storage medium; a processor of a computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device performs the steps in any one of the above method embodiments.

[0091] Optionally, the specific examples in this embodiment may refer to the examples described in the above embodiments and optional implementation modes, and this embodiment will not be described in detail here.

[0092] Obviously, those skilled in the art should understand that the above modules or steps of the present application can be implemented by a general computing device, they can be concentrated on a single computing device, or distributed on a network composed of multiple computing devices, and optionally, they can be implemented by a program code executable by a computing device, so that they can be stored in a storage device and executed by the computing device, and in some cases, the steps shown or described can be executed in a different order from that herein, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present application is not limited to any specific combination of hardware and software.

[0093] The above description is only the preferred embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the principles of the present application shall be included in the protection scope of the present application.

Claims

1. A method for risk assessment of offshore wind power operations, characterized in that: include: Identify a number of offshore operations to be assessed; For any one of the multiple offshore operation activities, based on multiple preset assessment dimensions, a risk assessment is performed on the targeted offshore operation activity, and an assessment index of the targeted offshore operation activity under the multiple assessment dimensions is determined; Determining a risk level corresponding to the offshore operation activity based on the assessment index of the offshore operation activity under the multiple assessment dimensions; Determine early warning information for the targeted offshore operation according to the risk level corresponding to the targeted offshore operation; The warning information is used to instruct the operation and maintenance equipment to perform operation and maintenance processing on the targeted offshore operation activity.

2. The method according to claim 1, characterized in that The evaluation dimensions include failure dimension, environment dimension, and result dimension; Based on the preset multiple assessment dimensions, a risk assessment is conducted on the targeted offshore operation activities to determine the assessment index of the targeted offshore operation activities under the multiple assessment dimensions, including: Based on the fault dimension, the environment dimension and the result dimension, respectively, a risk assessment is performed on the targeted offshore operation activities to determine a fault index of the targeted offshore operation activities under the fault dimension, an environment index under the environment dimension, and a result index under the result dimension; Based on the fault index of the offshore operation activity in the fault dimension, the environment index in the environment dimension, and the result index in the result dimension, the evaluation index of the offshore operation activity in the multiple evaluation dimensions is determined.

3. The method according to claim 2, characterized in that The risk assessment of the offshore operation activity is performed based on the fault dimension, the environment dimension and the result dimension respectively, and the fault index of the offshore operation activity under the fault dimension, the environment index under the environment dimension and the result index under the result dimension are determined, including: Obtaining environmental data and operational data of the offshore operation; Under the fault dimension, the environmental data and the operation data are respectively input into a pre-trained fault prediction model to determine a fault index of the offshore operation activity under the fault dimension; Under the environmental dimension, the environmental data and the operation data are respectively input into a pre-trained environmental prediction model to determine the environmental index of the targeted offshore operation under the key dimension; Under the result dimension, the environmental data and the operation data are respectively input into a pre-trained result prediction model to determine a result index of the targeted offshore operation under the result dimension.

4. The method according to claim 1, characterized in that The evaluation index includes a failure index, an environment index and a result index; The step of determining the risk level corresponding to the offshore operation activity based on the assessment index of the offshore operation activity under the multiple assessment dimensions includes: Determining a risk assessment value of the offshore operation activity based on the fault index, the environment index, and the result index; Based on the risk assessment value, a risk level corresponding to the offshore operation activity is determined.

5. The method according to claim 4, characterized in that The step of determining the risk assessment value of the offshore operation activity based on the fault index, the environment index and the result index comprises: Based on the product of the fault index, the environment index and the result index, a risk assessment value of the offshore operation activity is determined.

6. The method according to claim 4, characterized in that Determining the risk level corresponding to the offshore operation activity based on the risk assessment value includes: Comparing the risk assessment value with a preset risk threshold to obtain a comparison result; Based on the comparison result, a risk level corresponding to the targeted offshore operation activity is determined.

7. The method according to claim 6, characterized in that The risk threshold includes a first threshold, a second threshold, and a third threshold; wherein the first threshold is greater than the second threshold; and the second threshold is greater than the third threshold; Determining the risk level corresponding to the offshore operation activity based on the comparison result includes: When the comparison result is that the risk evaluation value is greater than the first threshold, determining the risk level to be the first risk level; When the comparison result shows that the risk evaluation value is between the first threshold value and the second threshold value, determining the risk level to be the second risk level; When the comparison result shows that the risk evaluation value is between the second threshold value and the third threshold value, determining the risk level to be the third risk level; When the comparison result is that the risk assessment value is less than the third threshold value, the risk level is determined to be the fourth risk level, wherein the danger level corresponding to the first risk level is higher than that of the second risk level, the danger level corresponding to the second risk level is higher than that of the third risk level, and the danger level corresponding to the third risk level is higher than that of the fourth risk level.

8. An offshore wind power operation risk assessment device, characterized in that: include: An operation identification module, which is used to identify multiple offshore operations to be evaluated; An assessment module, configured to conduct a risk assessment on any one of the plurality of offshore operations based on a plurality of preset assessment dimensions, and determine an assessment index of the offshore operation under the plurality of assessment dimensions; A level determination module, configured to determine a risk level corresponding to the offshore operation activity based on the assessment index of the offshore operation activity under the multiple assessment dimensions; An early warning determination module, used to determine early warning information for the targeted offshore operation according to the risk level corresponding to the targeted offshore operation; The warning information is used to instruct the operation and maintenance equipment to perform operation and maintenance processing on the targeted offshore operation activity.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein the program executes the method described in any one of claims 1 to 7 when executed.

10. An electronic device comprising a memory and a processor, characterized in that: A computer program is stored in the memory, and the processor is configured to execute the method according to any one of claims 1 to 7 through the computer program.

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