An intelligent operation and maintenance decision-making planning method and device based on port breakwater wind power

Abstract

This application proposes a method and device for intelligent operation and maintenance decision-making planning based on port breakwater wind power. The method obtains sea conditions, meteorological data, structural health data and wind turbine operation data of the breakwater area. Based on sea conditions and meteorological data, defense and application risk coefficients of breakwaters and wind power equipment are generated, and when the coefficient exceeds the threshold, a defense task is generated. Based on the structural health data, a structural health loss coefficient of breakwaters and wind power equipment is generated, and when the threshold is exceeded, a repair task is generated. Based on the defense or repair task, a corresponding urgency coefficient is generated; combined with the target resource quantity and processing time of the daily task, a processing priority coefficient is generated. Finally, based on the defense urgency coefficient, the repair urgency coefficient and the processing priority coefficient, a task processing sequence is generated, and defense, repair and daily tasks are executed in sequence. This method realizes efficient and safe management of port breakwater wind power operation and maintenance by real-time monitoring and analysis of data and intelligent sorting of tasks.

Description

Technical Field

[0001] The present application relates to the field of port operation and maintenance, and in particular to an intelligent operation and maintenance decision-making planning method and device based on port breakwater wind power. Background Art

[0002] Wind turbine operation and maintenance (O&M) is a critical component of offshore wind power, accounting for approximately 25% of the total construction cost. However, current research and application of wind turbine O&M, particularly intelligent O&M, remains relatively basic. Existing methods for wind turbine O&M on port breakwaters primarily monitor wind turbine operation through deployed sensors and diagnose operational failures based on this data. Once a failure is detected, a fault maintenance task is generated and appropriate maintenance resources are mobilized. This approach can, to a certain extent, reduce the duration of wind turbine failures and improve turbine power generation stability.

[0003] However, existing methods still have significant shortcomings. They primarily focus on identifying operational obstacles to wind turbines, failing to fully consider the potential impact of actual sea conditions and meteorological data on port breakwaters and wind turbine equipment. Furthermore, existing methods overlook the potential damage to the structural health of port breakwaters and wind turbine equipment caused by long-term seawater erosion. Consequently, existing methods are unable to cope with complex and changing sea and meteorological conditions, as well as structural damage, and are in urgent need of further improvement. Summary of the Invention

[0004] The purpose of this application is to overcome the defects in the above-mentioned prior art and provide an intelligent operation and maintenance decision-making planning method and device based on port breakwater wind power.

[0005] This application provides an intelligent operation and maintenance decision-making and planning method based on port breakwater wind power, including:

[0006] Obtain sea condition data, meteorological data, structural health data and wind turbine operation data in the breakwater area;

[0007] generating a breakwater defense risk coefficient and a wind power equipment application risk coefficient based on the sea condition data and meteorological data;

[0008] When the breakwater defense risk coefficient exceeds a preset breakwater safety threshold or / and when the wind power equipment application risk coefficient exceeds a preset equipment safety threshold, generating a defense task;

[0009] generating a breakwater structure health loss coefficient and a wind power equipment structure health loss coefficient based on the structural health data;

[0010] When the health loss coefficient of the breakwater structure exceeds a corresponding preset health threshold or / and when the health loss coefficient of the wind power equipment structure exceeds a corresponding preset health threshold, generating a repair task;

[0011] generating a defense urgency coefficient and / or a repair urgency coefficient according to the defense task and / or the repair task;

[0012] Generate a processing priority coefficient based on the target resource quantity and processing time of daily tasks;

[0013] generating a task processing sequence based on the defense urgency coefficient, the repair urgency coefficient, and the processing priority coefficient;

[0014] The defensive tasks, repair tasks and daily tasks are executed according to the task processing sequence.

[0015] Optionally, in generating a breakwater defense risk coefficient and a wind power equipment application risk coefficient based on the sea state data and meteorological data, generating the breakwater defense risk coefficient includes:

[0016] Based on the degree of deviation between the seawater temperature and the preset optimal temperature range, the sea temperature degradation impact coefficient is calculated through a piecewise function;

[0017] Divide the real-time wave height by the breakwater height to obtain the wave height excess coefficient;

[0018] Calculate the product of the sine function of the angle between the wave direction and the breakwater;

[0019] The sea temperature degradation influence coefficient, wave height excess coefficient, sine function product term and tidal velocity are subjected to exponential and linear weighting to generate a breakwater defense risk coefficient.

[0020] Optionally, in generating a breakwater defense risk coefficient and a wind power equipment application risk coefficient based on the sea state data and meteorological data, generating the wind power equipment application risk coefficient includes:

[0021] Add 1 to the real-time wind speed and take the square to generate the wind speed quadratic correction term;

[0022] Substituting the wave height excess coefficient into an exponential function to calculate an exponential weighted term;

[0023] The wind speed secondary correction term is multiplied by the exponential weighting term to generate a wind power equipment application risk coefficient.

[0024] Optionally, generating a breakwater structure health loss coefficient and a wind power equipment structure health loss coefficient based on the structural health data includes:

[0025] Calculate the difference ratio between the initial structural stress and the real-time stress;

[0026] Calculate the ratio of the deformed area to the total area of ​​the breakwater structure;

[0027] Add 1 to the displacement distance and take the square root to generate the displacement correction term;

[0028] The difference ratio, deformation area ratio and displacement correction term are added and multiplied to generate the breakwater structure health loss coefficient.

[0029] Optionally, a task processing sequence is generated based on the defense urgency coefficient, the repair urgency coefficient, and the processing priority coefficient:

[0030] For defensive tasks, sort them from high to low according to the defense urgency coefficient;

[0031] For repair tasks, sort them from high to low according to the repair urgency coefficient;

[0032] For daily tasks, calculate the sum of the ratios of the target resource quantity to the total resource quantity, divide it by the natural logarithm of the processing time, generate the daily task priority value, and then sort it from high to low.

[0033] This application provides an intelligent operation and maintenance decision-making and planning device based on port breakwater wind power, comprising:

[0034] Acquisition module, which obtains sea condition data, meteorological data, structural health data and wind turbine operation data of the breakwater area;

[0035] a risk module, generating a breakwater defense risk coefficient and a wind power equipment application risk coefficient based on the sea condition data and meteorological data;

[0036] a defense module, generating a defense task when the breakwater defense risk coefficient exceeds a preset breakwater safety threshold or / and when the wind power equipment application risk coefficient exceeds a preset equipment safety threshold;

[0037] A health module, which generates a breakwater structure health loss coefficient and a wind power equipment structure health loss coefficient based on the structural health data;

[0038] a repair module, generating a repair task when the health loss coefficient of the breakwater structure exceeds a corresponding preset health threshold or / and when the health loss coefficient of the wind power equipment structure exceeds a corresponding preset health threshold;

[0039] A task module, generating a defense urgency coefficient and / or a repair urgency coefficient according to the defense task and / or the repair task;

[0040] The coefficient module generates a processing priority coefficient based on the target resource quantity and processing time of daily tasks;

[0041] a sequence module, generating a task processing sequence based on the defense urgency coefficient, the repair urgency coefficient, and the processing priority coefficient;

[0042] The repair module executes the defensive tasks, repair tasks and daily tasks according to the task processing sequence.

[0043] Optionally, the risk module generates a breakwater defense risk coefficient and a wind power equipment application risk coefficient based on the sea state data and meteorological data, and the generation of the breakwater defense risk coefficient includes:

[0044] Based on the degree of deviation between the seawater temperature and the preset optimal temperature range, the sea temperature degradation impact coefficient is calculated through a piecewise function;

[0045] Divide the real-time wave height by the breakwater height to obtain the wave height excess coefficient;

[0046] Calculate the product of the sine function of the angle between the wave direction and the breakwater;

[0047] The sea temperature degradation influence coefficient, wave height excess coefficient, sine function product term and tidal velocity are subjected to exponential and linear weighting to generate a breakwater defense risk coefficient.

[0048] Optionally, the risk module generates a breakwater defense risk coefficient and a wind power equipment application risk coefficient based on the sea state data and meteorological data, and the generation of the wind power equipment application risk coefficient includes:

[0049] Add 1 to the real-time wind speed and take the square to generate the wind speed quadratic correction term;

[0050] Substituting the wave height excess coefficient into an exponential function to calculate an exponential weighted term;

[0051] The wind speed secondary correction term is multiplied by the exponential weighting term to generate a wind power equipment application risk coefficient.

[0052] Optionally, the health module generates a breakwater structure health loss coefficient and a wind power equipment structure health loss coefficient based on the structural health data, including:

[0053] Calculate the difference ratio between the initial structural stress and the real-time stress;

[0054] Calculate the ratio of the deformed area to the total area of ​​the breakwater structure;

[0055] Add 1 to the displacement distance and take the square root to generate the displacement correction term;

[0056] The difference ratio, deformation area ratio and displacement correction term are added and multiplied to generate the breakwater structure health loss coefficient.

[0057] Optionally, the sequence module generates a task processing sequence based on the defense urgency coefficient, the repair urgency coefficient, and the processing priority coefficient:

[0058] For defensive tasks, sort them from high to low according to the defense urgency coefficient;

[0059] For repair tasks, sort them from high to low according to the repair urgency coefficient;

[0060] For daily tasks, calculate the sum of the ratios of the target resource quantity to the total resource quantity, divide it by the natural logarithm of the processing time, generate the daily task priority value, and then sort it from high to low.

[0061] The beneficial effects of this application are:

[0062] The present application provides an intelligent operation and maintenance decision-making and planning method based on port breakwater wind power, comprising: obtaining sea condition data, meteorological data, structural health data, and wind turbine operation data of the breakwater area; generating a breakwater defense risk coefficient and a wind power equipment application risk coefficient based on the sea condition data and meteorological data; generating a defense task when the breakwater defense risk coefficient exceeds a preset breakwater safety threshold or / and when the wind power equipment application risk coefficient exceeds a preset equipment safety threshold; generating a breakwater structure health loss coefficient and a wind power equipment structure health loss coefficient based on the structural health data; When the health loss coefficient of the breakwater structure exceeds the corresponding preset health threshold or / and when the health loss coefficient of the wind power equipment structure exceeds the corresponding preset health threshold, a repair task is generated; a defense urgency coefficient or / and a repair urgency coefficient is generated according to the defense task or / and the repair task; a processing priority coefficient is generated according to the target resource quantity and processing time of the daily task; a task processing sequence is generated based on the defense urgency coefficient, the repair urgency coefficient and the processing priority coefficient; and the defense task, the repair task and the daily task are executed according to the task processing sequence. This application generates risk assessment and fault analysis coefficients by real-time monitoring and analysis of sea conditions, weather, structural health and wind turbine operation data, and combines the task urgency coefficient and the daily task processing priority coefficient to intelligently sort and execute defense, repair and daily tasks in sequence, thereby efficiently and safely managing the operation and maintenance of port breakwater wind power. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] Figure 1 This is a schematic diagram of the intelligent operation and maintenance decision-making planning process based on port breakwater wind power in this application. DETAILED DESCRIPTION

[0064] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that various forms of implementation of the present disclosure are not limited to the embodiments set forth herein. Rather, the embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0065] Please refer to Figure 1 As shown, the present application provides an intelligent operation and maintenance decision-making planning method based on port breakwater wind power, including:

[0066] S101, obtaining sea condition data, meteorological data, structural health data, and wind turbine operation data of the breakwater area;

[0067] Deploy monitoring equipment to monitor wind turbine operation data, meteorological data, sea condition data, and structural health data in real time;

[0068] The real-time monitored wind turbine operating data include: power generation, motor temperature, gearbox oil temperature and impeller area; meteorological data include ambient temperature, atmospheric pressure, wind speed, wind direction and air density; sea condition data include wave height, wave period, sea water temperature, wave direction and tidal speed; in addition, the real-time monitored structural health data include the structural stress, deformation and displacement of breakwaters and wind turbine equipment.

[0069] What needs to be specifically explained in this application is that an ultrasonic wind speed and direction recorder or a wind speed sensor and a wind direction sensor can be used to monitor wind speed and wind direction, a power sensor can be used to monitor the power generation power of a wind turbine, a temperature sensor can be used to monitor motor temperature, gearbox oil temperature, ambient temperature and sea water temperature, a laser rangefinder can be used to measure the diameter of the impeller and the width of the blades and then directly calculate the impeller area, an atmospheric pressure sensor can be used to monitor atmospheric pressure, and the air density ρk can be directly calculated based on the monitored data, ρk=Pk / (Rs×tk), where Pk is atmospheric pressure, Rs is the specific gas constant of air, and tk is ambient temperature, a wave sensor can be used to monitor wave height, wave period and wave direction, a current meter can be used to monitor tidal velocity, a stress sensor can be used to monitor the structural stress of breakwaters and wind power equipment, a deformation sensor can be used to monitor the structural deformation of breakwaters and wind power equipment, and a displacement sensor can be used to monitor the structural displacement of breakwaters and wind power equipment.

[0070] S102. Generate a breakwater defense risk coefficient and a wind power equipment application risk coefficient based on the sea condition data and meteorological data;

[0071] Retrieve the monitored wave height, wave period, sea water temperature, wave direction, tidal speed, wind speed and wind direction data.

[0072] Calculate the breakwater defense risk factor XFa, the specific formula is:

[0073]

[0074] Among them, αt and αh are the sea temperature degradation coefficient and wave height excess coefficient respectively, Th is the wave period, θh and θf are the angle between the wave direction and the breakwater and the angle between the wind direction and the breakwater respectively, vl is the tidal velocity, and the calculation formula of the sea temperature degradation coefficient αt is:

[0075]

[0076] Among them, tx, tya, and tyb are seawater temperature, the lower limit of the optimal seawater temperature, and the upper limit of the optimal seawater temperature, respectively. The calculation formula of the wave height limit coefficient αh is: , hx is the wave height and hy is the breakwater height.

[0077] Calculate the wind power equipment application risk coefficient XBa, the specific formula is:

[0078]

[0079] S103: When the breakwater defense risk coefficient exceeds a preset breakwater safety threshold or / and when the wind power equipment application risk coefficient exceeds a preset equipment safety threshold, generating a defense task;

[0080] Compare the calculated breakwater defense risk coefficient with the preset safety value. If the former is greater than the latter, it is determined that the breakwater defense risk exceeds the limit; similarly, compare the wind power equipment application risk coefficient with the preset safety value. If the former is greater than the latter, it is determined that the wind power equipment application risk exceeds the limit.

[0081] When the application risk of breakwater or wind power equipment exceeds the preset threshold and meets the conditions for generating defensive tasks

[0082] S104, generating a breakwater structure health loss coefficient and a wind power equipment structure health loss coefficient based on the structural health data;

[0083] Retrieve the monitored structural stress, deformation and displacement of breakwaters and wind turbines;

[0084] Calculate the breakwater structure health loss coefficient XSa. The specific formula is:

[0085]

[0086] Among them, fya, fxa, Asa, Aca, and da are the initial structural stress of the breakwater, the monitored real-time structural stress of the breakwater, the breakwater structure area, the breakwater structure deformation area, and the breakwater structure displacement distance, respectively.

[0087] Calculate the structural health loss coefficient XSb of wind power equipment. The specific formula is:

[0088]

[0089] Among them, fyb, fxb, Asb, Acb, and db are the initial structural stress of the wind turbine equipment, the monitored real-time structural stress of the wind turbine equipment, the structural area of ​​the wind turbine equipment, the structural deformation area of ​​the wind turbine equipment, and the structural displacement distance of the wind turbine equipment, respectively.

[0090] S105: When the health loss coefficient of the breakwater structure exceeds a corresponding preset health threshold or / and when the health loss coefficient of the wind power equipment structure exceeds a corresponding preset health threshold, generating a repair task;

[0091] The calculated breakwater structure health loss coefficient and wind power equipment structure health loss coefficient are compared with the corresponding set upper limit values ​​of the structure health loss coefficient. If the calculated value is greater than the upper limit value, the structure health loss exceeds the limit.

[0092] When the structural health loss of the breakwater or wind turbine exceeds the limit, it is determined that the conditions for generating a repair task are met.

[0093] Calculate the wind power Pf during wind power conversion. The specific formula is:

[0094]

[0095] Among them, ρk, Ay, vf, and Cp are air density, impeller area, wind speed, and wind power conversion power coefficient respectively, Cp∈U0[b0,a0], U0[b0,a0] is the preset value interval of the wind power conversion power coefficient, a0 is the maximum value of the wind power conversion power coefficient, and b0 is the minimum value of the wind power conversion power coefficient.

[0096] Calculate the maximum power loss coefficient ζa during wind power conversion. The specific formula is:

[0097]

[0098] Among them, Pc is the generated power and Pfmin is the minimum wind power.

[0099] The obtained maximum power loss coefficient is compared with the preset power loss upper limit. If the former is greater than the latter, it is determined that the power loss of the wind turbine generator set exceeds the limit; otherwise, it is determined to be normal.

[0100] Compare the motor temperature and gearbox oil temperature with the preset optimal range of motor temperature and gearbox oil temperature. If the motor temperature and gearbox oil temperature are both in the corresponding optimal range, the operating temperature of the wind turbine is normal. Otherwise, the operating temperature of the wind turbine exceeds the limit.

[0101] If the power loss of the wind turbine exceeds the limit or the operating temperature exceeds the normal range, it is determined that there is a fault in the operation of the wind turbine, which meets the conditions for generating a repair task; conversely, if the power loss and operating temperature are normal, it is determined that there is no fault in the operation of the wind turbine.

[0102] S106. Generate a defense urgency coefficient and / or a repair urgency coefficient according to the defense task and / or the repair task;

[0103] When there are daily tasks and repair tasks, repair tasks are processed first. After the repair tasks are processed, daily tasks will continue to be processed. Repair tasks that appear at different times are sorted according to their order of priority. For multiple repair tasks at the same time, the priority is determined by calculating the processing priority coefficient XPi. The specific formula is as follows:

[0104]

[0105] Among them, nbi is the target processing resource type number of the i-th repair task, mbij is the target resource number of the j-th target processing resource of the i-th repair task, mxij is the total resource number of the j-th target processing resource of the i-th repair task, λxi is the repair urgency coefficient of the i-th repair task, and the repair tasks at the same moment are sorted from high to low according to the calculated processing priority coefficient.

[0106] Specifically, it should be noted that the specific calculation formula of the repair urgency coefficient λx is:

[0107]

[0108] Among them, Xse is the set upper limit of the wind turbine structure health loss coefficient, Xsr is the set upper limit of the breakwater structure health loss coefficient, ζe is the preset power loss upper limit, βtd and βty are the motor temperature over-limit coefficient and gearbox oil temperature over-limit coefficient respectively. The specific calculation formula is as follows:

[0109]

[0110] Among them, td, tdx, tdy, tc, tcx, and tcy are respectively the motor temperature, the lower limit of the optimal range of motor temperature, the upper limit of the optimal range of motor temperature, the gearbox oil temperature, the lower limit of the optimal range of gearbox oil temperature, and the upper limit of the optimal range of gearbox oil temperature. If the reason for the judgment generation of the repair task is that the health loss of the breakwater structure exceeds the limit, then , the values ​​of other calculation items are 0, and the other situations are consistent with this.

[0111] When processing daily, repair, and defense tasks, defense tasks should be processed first. After completing defense tasks, repair tasks should be processed, and finally daily tasks. For defense tasks that appear at different times, they should be sorted in order of priority. For multiple defense tasks at the same time, the processing priority coefficient XQi of each task needs to be calculated. The specific formula is:

[0112]

[0113] Where nci is the target processing resource type number of the i-th defensive task, mcij is the target resource number of the j-th target processing resource of the i-th defensive task, myij is the total resource number of the j-th target processing resource of the i-th defensive task, and λfi is the defense urgency coefficient of the i-th defensive task. The defensive tasks at the same moment are sorted from high to low according to the calculated processing priority coefficients.

[0114] Specifically, it should be noted that the specific calculation formula of the defense urgency coefficient λf is:

[0115]

[0116] Among them, XFe is the preset breakwater defense risk safety value, XBe is the preset wind power equipment application risk safety value, if the reason for the determination of the defensive task is that the breakwater defense risk exceeds the limit, then , the other calculation item value is 0. If the reason for the determination of the defensive task is that the risk of wind power equipment application exceeds the limit, then , the other calculation item value is 0.

[0117] S107 generates a processing priority coefficient based on the target resource quantity and processing time of the daily task;

[0118] When it is determined that the conditions for generating a defensive task or a repair task are met, a corresponding defensive task or a repair task is generated and the target processing resource type, target resource quantity, and target processing time of the task processing are analyzed.

[0119] Specifically, the steps for analyzing the resources and duration required for task processing are as follows:

[0120] After obtaining permission, search the Internet for historical processing records (defensive or repair) whose similarity to the generated task exceeds the preset standard;

[0121] Using each historical task processing record as a reference, the expected resource type, resource quantity, and expected processing time of the generated defensive or repair tasks are estimated;

[0122] Summarize the expected resource types, quantities, and durations, determine the target processing resource types, calculate the average (rounded up) of the quantities of each type of resource as the target resource quantity, calculate the average of the expected durations as the target processing duration, and mark these as the resources and duration required for initial processing of the task.

[0123] After completing a defensive or repair task, we adjust the initial estimated resources and duration based on the actual resources and duration required for the task, thereby determining the new target processing resource type, target resource quantity, and target processing duration.

[0124] What needs to be specifically explained in this application is that, for ease of understanding, a set of data is given for illustration: assuming that there are three reference historical task processing records, represented by F1, F2, and F3 respectively.

[0125] The expected resource types for processing the generated task estimated by F1 are A1, A2, and A3, the number of resources is A1=12, A2=15, and A3=18, and the expected processing time is T1=10 minutes.

[0126] The expected resource types for processing the generated task estimated by F2 are A1, A3, and A4, the resource quantities are A1=10, A3=12, and A4=8, and the expected processing time is T2=12 minutes.

[0127] The expected resource types for processing the generated task estimated by F3 are A2, A3, and A4, the resource quantities are A2=16, A3=10, and A4=12, and the expected processing time is T3=14 minutes.

[0128] After aggregation, the target processing resource types are A1, A2, A3, and A4. The target resource quantity for A1 is (12 + 10 + 0) / 3 = 7.33, which is rounded up to 8. The target resource quantity for A2 is (15 + 0 + 16) / 3 = 10.33, which is rounded up to 11. The target resource quantity for A3 is (18 + 12 + 10) / 3 = 13.33, which is rounded up to 14. The target resource quantity for A4 is (0 + 8 + 12) / 3 = 6.67, which is rounded up to 7. Therefore, the target resource quantities for A1 are 8, A2 are 11, A3 are 14, and A4 are 7. The average target processing time is calculated as (10 minutes + 12 minutes + 14 minutes) / 3 = 12 minutes.

[0129] Analyze the target processing resource type, target resource quantity and target processing time for daily wind power task processing at port breakwaters;

[0130] The routine tasks in this application specifically include daily inspections of wind turbines, offshore booster stations, wind towers, and submarine cables, as well as regular maintenance of mechanical, electrical, and infrastructure equipment.

[0131] What needs to be specifically explained in this application is that the processing resource and duration analysis steps for the daily tasks of port breakwater wind power are the same as the analysis steps for defensive or repair tasks.

[0132] S108, generating a task processing sequence based on the defense urgency coefficient, the repair urgency coefficient, and the processing priority coefficient;

[0133] S109: Execute the defensive tasks, repair tasks and daily tasks according to the task processing sequence.

[0134] Set the priority of task type. Defensive tasks have the highest priority, repair tasks have a medium priority, and daily tasks have the lowest priority.

[0135] When only daily tasks exist, sort them according to the order in which they appear. For multiple daily tasks at the same time, calculate the processing priority coefficient XRi of each daily task. The specific formula is:

[0136]

[0137] Among them, nai is the target processing resource type quantity of the i-th daily task, maij is the target resource quantity of the j-th target processing resource of the i-th daily task, mzij is the total resource quantity of the j-th target processing resource of the i-th daily task, Tci is the target processing time of the i-th daily task, and the daily tasks at the same time are sorted from high to low according to the calculated processing priority coefficient.

[0138] To facilitate understanding of the above formula, a set of examples are given for explanation:

[0139] Assume that there are three daily tasks F1, F2, and F3 at the same time:

[0140] Solving task F1 only requires resource A, the specific quantity is 2, and the target processing time is 10 minutes.

[0141] Solving task F2 requires resources B and C, with the corresponding resource quantities being 1 and 3, respectively, and the target processing time being 12 minutes.

[0142] Solving task F3 requires resources A, B, and C, with the corresponding resource quantities being 4, 3, and 1, respectively, and the target processing time being 18 minutes.

[0143] The total number of resources A, B, and C are 15, 20, and 25 respectively, so the processing priority coefficient of task F1 is

[0144]

[0145] The processing priority coefficient of task F2 is

[0146]

[0147] The processing priority coefficient of task F3 is

[0148]

[0149] The processing order is F3, F2, F1.

[0150] When faced with daily tasks and repair tasks, repair tasks should be processed first. After the repair tasks are completed, daily tasks can be processed again. Repair tasks that appear at different times should be sorted in the order of their appearance. For multiple repair tasks that appear at the same time, the processing priority coefficient XPi of each task needs to be calculated. The specific formula is:

[0151]

[0152] Among them, nbi is the target processing resource type number of the i-th repair task, mbij is the target resource number of the j-th target processing resource of the i-th repair task, mxij is the total resource number of the j-th target processing resource of the i-th repair task, λxi is the repair urgency coefficient of the i-th repair task, and the repair tasks at the same moment are sorted from high to low according to the calculated processing priority coefficient.

[0153] Specifically, it should be noted that the specific calculation formula of the repair urgency coefficient λx is:

[0154] .

[0155] Among them, Xse is the set upper limit of the wind turbine structure health loss coefficient, Xsr is the set upper limit of the breakwater structure health loss coefficient, ζe is the preset power loss upper limit, βtd and βty are the motor temperature over-limit coefficient and gearbox oil temperature over-limit coefficient respectively. The specific calculation formula is as follows:

[0156]

[0157] Among them, td, tdx, tdy, tc, tcx, and tcy are respectively the motor temperature, the lower limit of the optimal range of motor temperature, the upper limit of the optimal range of motor temperature, the gearbox oil temperature, the lower limit of the optimal range of gearbox oil temperature, and the upper limit of the optimal range of gearbox oil temperature. If the reason for the judgment generation of the repair task is that the health loss of the breakwater structure exceeds the limit, then , the values ​​of other calculation items are 0, and the other situations are consistent with this.

[0158] When processing tasks, defensive tasks should be processed first, followed by repair tasks, and finally routine tasks. For defensive tasks at different times, they need to be sorted in the order of their appearance; for multiple tasks at the same time, the processing priority coefficient XQi of each task needs to be calculated. The specific formula is:

[0159]

[0160] Among them, nci is the target processing resource type number of the i-th defensive task, mcij is the target resource number of the j-th target processing resource of the i-th defensive task, myij is the total resource number of the j-th target processing resource of the i-th defensive task, and λfi is the defense urgency coefficient of the i-th defensive task. The defensive tasks at the same moment are sorted from high to low according to the calculated processing priority coefficient.

[0161] Specifically, it should be noted that the specific calculation formula of the defense urgency coefficient λf is:

[0162]

[0163] Among them, XFe is the preset breakwater defense risk safety value, XBe is the preset wind power equipment application risk safety value, if the reason for the determination of the defensive task is that the breakwater defense risk exceeds the limit, then , the other calculation item value is 0. If the reason for the determination of the defensive task is that the risk of wind power equipment application exceeds the limit, then , the other calculation item value is 0.

[0164] Integrate the sorting results to get the final task sorting, and execute the tasks in this order.

[0165] This application provides an intelligent operation and maintenance decision-making and planning device based on port breakwater wind power, comprising:

[0166] Acquisition module, which obtains sea condition data, meteorological data, structural health data and wind turbine operation data of the breakwater area;

[0167] a risk module, generating a breakwater defense risk coefficient and a wind power equipment application risk coefficient based on the sea condition data and meteorological data;

[0168] a defense module, generating a defense task when the breakwater defense risk coefficient exceeds a preset breakwater safety threshold or / and when the wind power equipment application risk coefficient exceeds a preset equipment safety threshold;

[0169] A health module, which generates a breakwater structure health loss coefficient and a wind power equipment structure health loss coefficient based on the structural health data;

[0170] a repair module, generating a repair task when the health loss coefficient of the breakwater structure exceeds a corresponding preset health threshold or / and when the health loss coefficient of the wind power equipment structure exceeds a corresponding preset health threshold;

[0171] A task module, generating a defense urgency coefficient and / or a repair urgency coefficient according to the defense task and / or the repair task;

[0172] The coefficient module generates a processing priority coefficient based on the target resource quantity and processing time of daily tasks;

[0173] a sequence module, generating a task processing sequence based on the defense urgency coefficient, the repair urgency coefficient, and the processing priority coefficient;

[0174] The repair module executes the defensive tasks, repair tasks and daily tasks according to the task processing sequence.

[0175] Furthermore, the risk module generates a breakwater defense risk coefficient and a wind power equipment application risk coefficient based on the sea state data and meteorological data. The generation of the breakwater defense risk coefficient includes:

[0176] Based on the degree of deviation between the seawater temperature and the preset optimal temperature range, the sea temperature degradation impact coefficient is calculated through a piecewise function;

[0177] Divide the real-time wave height by the breakwater height to obtain the wave height excess coefficient;

[0178] Calculate the product of the sine function of the angle between the wave direction and the breakwater;

[0179] The sea temperature degradation influence coefficient, wave height excess coefficient, sine function product term and tidal velocity are subjected to exponential and linear weighting to generate a breakwater defense risk coefficient.

[0180] Furthermore, the risk module generates a breakwater defense risk coefficient and a wind power equipment application risk coefficient based on the sea state data and meteorological data. The generation of the wind power equipment application risk coefficient includes:

[0181] Add 1 to the real-time wind speed and take the square to generate the wind speed quadratic correction term;

[0182] Substituting the wave height excess coefficient into an exponential function to calculate an exponential weighted term;

[0183] The wind speed secondary correction term is multiplied by the exponential weighting term to generate a wind power equipment application risk coefficient.

[0184] Furthermore, the health module generates a breakwater structure health loss coefficient and a wind power equipment structure health loss coefficient based on the structural health data, including:

[0185] Calculate the difference ratio between the initial structural stress and the real-time stress;

[0186] Calculate the ratio of the deformed area to the total area of ​​the breakwater structure;

[0187] Add 1 to the displacement distance and take the square root to generate the displacement correction term;

[0188] The difference ratio, deformation area ratio and displacement correction term are added and multiplied to generate the breakwater structure health loss coefficient.

[0189] Furthermore, the sequence module generates a task processing sequence based on the defense urgency coefficient, the repair urgency coefficient, and the processing priority coefficient:

[0190] For defensive tasks, sort them from high to low according to the defense urgency coefficient;

[0191] For repair tasks, sort them from high to low according to the repair urgency coefficient;

[0192] For daily tasks, calculate the sum of the ratios of the target resource quantity to the total resource quantity, divide it by the natural logarithm of the processing time, generate the daily task priority value, and then sort it from high to low.

[0193] The above description of the embodiments is intended to facilitate understanding and application of the present invention by those skilled in the art. It will be readily apparent to those skilled in the art that various modifications to the above embodiments can be made, and the general principles described herein can be applied to other embodiments without requiring inventive effort. Therefore, the present invention is not limited to the above embodiments, and improvements and modifications made by those skilled in the art based on the present disclosure are intended to fall within the scope of protection of the present invention.

Claims

1. An intelligent operation and maintenance decision-making and planning method based on port breakwater wind power, characterized in that: include: Obtain sea condition data, meteorological data, structural health data and wind turbine operation data in the breakwater area; generating a breakwater defense risk coefficient and a wind power equipment application risk coefficient based on the sea condition data and meteorological data; When the breakwater defense risk coefficient exceeds a preset breakwater safety threshold or / and when the wind power equipment application risk coefficient exceeds a preset equipment safety threshold, generating a defense task; generating a breakwater structure health loss coefficient and a wind power equipment structure health loss coefficient based on the structural health data; Determining whether the wind turbine power loss exceeds a limit or the wind turbine operating temperature exceeds a normal range based on the wind turbine operating data; When the health loss coefficient of the breakwater structure exceeds a corresponding preset health threshold or / and when the health loss coefficient of the wind power equipment structure exceeds a corresponding preset health threshold, generating a repair task; When power loss exceeds the limit or the operating temperature of the wind turbine exceeds the normal range, a repair task is generated; generating a defense urgency coefficient and / or a repair urgency coefficient according to the defense task and / or the repair task; Generate a processing priority coefficient based on the target resource quantity and processing time of daily tasks; generating a task processing sequence based on the defense urgency coefficient, the repair urgency coefficient, and the processing priority coefficient; The defensive tasks, repair tasks and daily tasks are executed according to the task processing sequence.

2. The method according to claim 1, characterized in that Based on the sea state data and meteorological data, generating a breakwater defense risk coefficient and a wind power equipment application risk coefficient, the generation of the breakwater defense risk coefficient includes: Based on the degree of deviation between the seawater temperature and the preset optimal temperature range, the sea temperature degradation impact coefficient is calculated through a piecewise function; Divide the real-time wave height by the breakwater height to obtain the wave height excess coefficient; Calculate the product of the sine function of the angle between the wave direction and the breakwater; The sea temperature degradation influence coefficient, wave height excess coefficient, sine function product term and tidal velocity are subjected to exponential and linear weighting to generate a breakwater defense risk coefficient.

3. The method according to claim 2, characterized in that Based on the sea state data and meteorological data, generating a breakwater defense risk coefficient and a wind power equipment application risk coefficient, the generating of the wind power equipment application risk coefficient includes: Add 1 to the real-time wind speed and take the square to generate the wind speed quadratic correction term; Substituting the wave height excess coefficient into an exponential function to calculate an exponential weighted term; The wind speed secondary correction term is multiplied by the exponential weighting term to generate a wind power equipment application risk coefficient.

4. The method according to claim 1, wherein Generating a breakwater structure health loss coefficient and a wind power equipment structure health loss coefficient based on the structural health data includes: Calculate the difference ratio between the initial structural stress and the real-time stress; Calculate the ratio of the deformed area to the total area of ​​the breakwater structure; Add 1 to the displacement distance and take the square root to generate the displacement correction term; The difference ratio, deformation area ratio and displacement correction term are added and multiplied to generate the breakwater structure health loss coefficient.

5. The method according to claim 1, wherein Generate a task processing sequence based on the defense urgency coefficient, the repair urgency coefficient, and the processing priority coefficient: For defensive tasks, sort them from high to low according to the defense urgency coefficient; For repair tasks, sort them from high to low according to the repair urgency coefficient; For daily tasks, calculate the sum of the ratios of the target resource quantity to the total resource quantity, divide it by the natural logarithm of the processing time, generate the daily task priority value, and then sort it from high to low.

6. An intelligent operation and maintenance decision-making and planning device based on port breakwater wind power, characterized in that: include: Acquisition module, which obtains sea condition data, meteorological data, structural health data and wind turbine operation data of the breakwater area; a risk module, generating a breakwater defense risk coefficient and a wind power equipment application risk coefficient based on the sea condition data and meteorological data; a defense module, generating a defense task when the breakwater defense risk coefficient exceeds a preset breakwater safety threshold or / and when the wind power equipment application risk coefficient exceeds a preset equipment safety threshold; A health module, which generates a breakwater structure health loss coefficient and a wind power equipment structure health loss coefficient based on the structural health data; Determining whether the wind turbine power loss exceeds the limit or the wind turbine operating temperature exceeds the normal range based on the wind turbine operating data; The repair module generates a repair task when the breakwater structure health loss coefficient exceeds the corresponding preset health threshold or / and when the wind power equipment structure health loss coefficient exceeds the corresponding preset health threshold; generates a repair task when power loss exceeds the limit or the wind turbine operating temperature exceeds the normal range. A task module, generating a defense urgency coefficient and / or a repair urgency coefficient according to the defense task and / or the repair task; The coefficient module generates a processing priority coefficient based on the target resource quantity and processing time of daily tasks; a sequence module, generating a task processing sequence based on the defense urgency coefficient, the repair urgency coefficient, and the processing priority coefficient; The repair module executes the defensive tasks, repair tasks and daily tasks according to the task processing sequence.

7. The device according to claim 6, characterized in that The risk module generates a breakwater defense risk coefficient and a wind power equipment application risk coefficient based on the sea state data and meteorological data. The generation of the breakwater defense risk coefficient includes: Based on the degree of deviation between the seawater temperature and the preset optimal temperature range, the sea temperature degradation impact coefficient is calculated through a piecewise function; Divide the real-time wave height by the breakwater height to obtain the wave height excess coefficient; Calculate the product of the sine function of the angle between the wave direction and the breakwater; The sea temperature degradation influence coefficient, wave height excess coefficient, sine function product term and tidal velocity are subjected to exponential and linear weighting to generate a breakwater defense risk coefficient.

8. The device according to claim 7, characterized in that The risk module generates a breakwater defense risk coefficient and a wind power equipment application risk coefficient based on the sea condition data and meteorological data. The generation of the wind power equipment application risk coefficient includes: Add 1 to the real-time wind speed and take the square to generate the wind speed quadratic correction term; Substituting the wave height excess coefficient into an exponential function to calculate an exponential weighted term; The wind speed secondary correction term is multiplied by the exponential weighting term to generate a wind power equipment application risk coefficient.

9. The device according to claim 6, characterized in that The health module generates a breakwater structure health loss coefficient and a wind power equipment structure health loss coefficient based on the structural health data, including: Calculate the difference ratio between the initial structural stress and the real-time stress; Calculate the ratio of the deformed area to the total area of ​​the breakwater structure; Add 1 to the displacement distance and take the square root to generate the displacement correction term; The difference ratio, deformation area ratio and displacement correction term are added and multiplied to generate the breakwater structure health loss coefficient.

10. The device according to claim 6, characterized in that The sequence module generates a task processing sequence based on the defense urgency coefficient, the repair urgency coefficient and the processing priority coefficient: For defensive tasks, sort them from high to low according to the defense urgency coefficient; For repair tasks, sort them from high to low according to the repair urgency coefficient; For daily tasks, calculate the sum of the ratios of the target resource quantity to the total resource quantity, divide it by the natural logarithm of the processing time, generate the daily task priority value, and then sort it from high to low.

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