Supervision method and terminal for offshore wind power invoicing operation

By obtaining the dynamic position of offshore wind power operation carrier and fixed position data of the equipment to be operated, combining real-time power, determining the operating time and comparing it with the invoice system, the problem of the invoice operation that cannot be supervised in real-time, achieving high accuracy and real-time operation supervision.

CN120013491AActive Publication Date: 2025-05-16FUJIAN HAIDIAN OPERATION & MAINTENANCE TECH CO LTD
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Patent Information

Application Number
CN202510487143.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-04-18
Publication Date
2025-05-16
Estimated Expiration
2045-04-18

AI Technical Summary

Technical Problem

The offshore wind power invoice operation process cannot be supervised in real time, resulting in the inability to truly implement safety regulations and pose safety risks.

Method used

By obtaining the dynamic position of the job carrier and the fixed position data of the equipment to be worked, combining the real-time power of the job carrier, the job start and end time are determined, and compared with the data of the electronic invoicing system to identify uninvoiced jobs or job abnormalities.

Benefits of technology

Real-time monitoring and comparison of the operation process is realized, and the operation behavior can be double-verified from the two dimensions of position and power, improving the accuracy and real-time nature of operation supervision and reducing safety hazards.

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Abstract

The invention discloses an offshore wind power invoicing operation supervision method and a terminal. The method comprises the steps of obtaining first position data and second position data; the first position data represents the dynamic position of the operation carrier, and the second position data represents the fixed position of the to-be-operated equipment; comparing the first position data with the second position data to obtain a first interval, wherein the first interval represents a distance range between the first position data and the second position data; acquiring the real-time power of the operation carrier, and judging and generating an operation starting time point and an operation ending time point in combination with the first interval; and acquiring invoicing data, evaluating the actual operation abnormality based on the invoicing data, the operation starting time point and the operation ending time point, and feeding back an evaluation result. According to the invention, the real-time power of the operation carrier is analyzed, dual verification is carried out on the operation behavior from the two dimensions of position and power, and the accuracy and real-time performance of operation supervision are improved.
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Description

Technical Field

[0001] The present invention relates to the field of offshore operations, and in particular to a supervision method and terminal for offshore wind power invoicing operations. Background Art

[0002] Offshore wind power has realized the online filling, review, approval and filing of work tickets and operation tickets. Operators need to issue two electronic tickets before they can operate. The two electronic tickets are helpful for personnel to understand the equipment and operation points. However, due to the particularity of offshore wind power, safety supervisors rely on manual management and often cannot track in real time whether the actual operating wind turbines of operators are consistent with the issued two electronic tickets, which leads to the inability to truly implement safety regulations and bury hidden dangers for safe production. At the same time, since the navigation position data of the ship cannot be completely consistent with the position of the wind turbine, if the operating wind turbine is determined simply by the ship's position and fixed distance, it is easy to cause the passing response equipment to be identified as equipment to be operated. Summary of the invention

[0003] The technical problem to be solved by the present invention is to provide a supervision method and terminal for offshore wind power invoicing operations, so as to solve the problem that the offshore invoicing operation process cannot be substantially supervised.

[0004] In order to solve the above technical problems, the technical solution adopted by the present invention is: A method for supervising offshore wind power invoicing operations, comprising the steps of: Acquire first position data and second position data; the first position data represents the dynamic position of the operation carrier, and the second position data represents the fixed position of the equipment to be operated; Comparing the first position data with the second position data to obtain a first interval, where the first interval represents a distance range between the first position data and the second position data; acquiring the real-time power of the operation carrier and determining and generating an operation start time point and an operation end time point in combination with the first interval; The invoicing data is obtained, and the actual operation abnormality is evaluated based on the invoicing data, the operation start time point and the operation end time point, and the evaluation result is fed back.

[0005] In order to solve the above technical problems, another technical solution adopted by the present invention is: A supervisory terminal for offshore wind power invoicing operations, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor completes the following steps when executing the computer program: Acquire first position data and second position data; the first position data represents the dynamic position of the operation carrier, and the second position data represents the fixed position of the equipment to be operated; Comparing the first position data with the second position data to obtain a first interval, where the first interval represents a distance range between the first position data and the second position data; acquiring the real-time power of the operation carrier and determining and generating an operation start time point and an operation end time point in combination with the first interval; The invoicing data is obtained, and the actual operation abnormality is evaluated based on the invoicing data, the operation start time point and the operation end time point, and the evaluation result is fed back.

[0006] The beneficial effects of the present invention are: providing a supervision method and terminal for offshore wind power invoicing operations, by comparing the dynamic position (first position data) of the operation carrier (such as an operation and maintenance ship) with the fixed position (second position data) of the equipment to be operated (such as a wind turbine), it is preliminarily determined whether there is an operation behavior, and by analyzing the real-time power of the operation carrier, combining the position overlapping period to determine the start and end time of the operation, and then comparing with the data of the electronic invoicing system to identify whether there is an uninvoiced operation or an abnormal operation, etc., realizing real-time monitoring and comparison during the operation process, and being able to perform dual verification of the operation behavior from two dimensions of position and power, thereby improving the accuracy and real-time nature of operation supervision. BRIEF DESCRIPTION OF THE DRAWINGS

[0007] Figure 1 It is a flow chart of a method for supervising offshore wind power invoicing operations in an embodiment of the present invention; Figure 2 A schematic diagram of a supervisory terminal for offshore wind power invoicing operations in an embodiment of the present invention; Description of labels: 1. A supervisory terminal for offshore wind power invoicing operations; 2. A memory; 3. A processor. DETAILED DESCRIPTION

[0008] In order to explain the technical content, achieved objectives and effects of the present invention in detail, the following is an explanation in conjunction with the implementation modes and the accompanying drawings.

[0009] Please refer to Figure 1 , a supervision method for offshore wind power invoicing operation, comprising the steps of: Acquire first position data and second position data; the first position data represents the dynamic position of the operation carrier, and the second position data represents the fixed position of the equipment to be operated; Comparing the first position data with the second position data to obtain a first interval, where the first interval represents a distance range between the first position data and the second position data; acquiring the real-time power of the operation carrier and determining and generating an operation start time point and an operation end time point in combination with the first interval; The invoicing data is obtained, and the actual operation abnormality is evaluated based on the invoicing data, the operation start time point and the operation end time point, and the evaluation result is fed back.

[0010] It can be understood that the start time point and the end time point of the operation are the start time point when the operation carrier leans against the equipment to be operated and the time point when the leaning ends after the operation is completed. The needs of the leaning operation are taken into consideration in the invoicing data, and the preset time data includes the duration of the leaning operation of the operation carrier.

[0011] From the above description, it can be seen that the beneficial effect of the present invention is that: by comparing the dynamic position (first position data) of the operation carrier (such as the operation and maintenance ship) with the fixed position (second position data) of the equipment to be operated (such as the wind turbine), it is preliminarily determined whether there is an operation behavior, and by analyzing the real-time power of the operation carrier, the start and end time of the operation is determined in combination with the position overlap period, and then compared with the data of the electronic invoicing system to identify whether there is an uninvoiced operation or an abnormal operation, etc., to achieve real-time monitoring and comparison during the operation process, and can double-verify the operation behavior from the two dimensions of position and power, and improve the accuracy and real-time nature of operation supervision. Especially in the offshore wind power environment, the traditional method of relying on manual verification has lags and misjudgments, and the present method automatically identifies the real operation behavior through intelligent data fusion, greatly improves the efficiency of safety supervision, and reduces safety hazards. For example, when an operation and maintenance ship approaches a certain wind turbine position, the system collects that its main engine power is stably maintained within the standard operation range, and the time exceeds 5 minutes, the system automatically marks this time period as an operation behavior, and determines whether there is a corresponding invoicing record after the operation is completed. If not, an early warning is issued to remind the safety supervisor.

[0012] In some embodiments, the invoicing data includes at least a label of the equipment to be operated and preset operation time data; The evaluation of the abnormality of the actual operation and the feedback of the evaluation result specifically include the following steps: Compare the location data of the tag of the equipment to be operated with the second location data, and if they do not match, evaluate it as an uninvoiced operation and feedback the evaluation result; If they match, the preset operation time data and the operation start time point data are compared. If they do not match, it is evaluated as an abnormal operation and the evaluation result is fed back; if they match, it is evaluated as a normal invoicing operation and the evaluation result is fed back.

[0013] From the above description, it can be seen that by obtaining the operation equipment label and planned time contained in the invoicing data, and comparing them with the wind turbine location and actual operation time recorded in the operation behavior, if the label is inconsistent or the operation time exceeds the planned range, it can be identified as an uninvoiced operation or an abnormal operation, which enhances the accuracy of supervision. Its core logic is to realize the closed-loop confirmation of the data matching chain, that is, only when the location label is consistent and the time matches, it is considered a compliant operation, otherwise it is an abnormality. It effectively makes up for the blind spot of supervision in the traditional system that it is difficult to identify "impersonation" or "overtime construction" only by invoicing data. For example, if the system records that a wind turbine starts working at 9:00, and the preset time in the invoicing system is 14:00-16:00, it is automatically judged as an early operation and an abnormal reminder is pushed. By automatically comparing key data points in multiple dimensions before, during and after the operation, the objectivity and accuracy of judging the compliance of the operation are improved.

[0014] Specifically, the steps include: The preset operation time data and the operation end time point data are compared. If they do not match, the evaluation of this section of records is abandoned.

[0015] From the above description, it can be seen that when there is a significant deviation between the operation time set in the invoicing system and the actual end time detected, the system will actively abandon the evaluation of this section of the operation record, thereby avoiding inaccurate judgment results when the data is incomplete or the boundaries are unclear. This design ensures that the evaluation is only carried out under the premise that the "closed-loop data" is complete, effectively reducing the waste of resources and unnecessary intervention caused by false alarms or misjudgments. For example, a certain operation behavior only records the start time, but due to an unexpected power outage on the ship, the end time is lost. The system automatically recognizes that the data is missing and abandons the evaluation of this section of the operation record to avoid misclassifying it as an uninvoiced operation or abnormal behavior.

[0016] In some implementations, the evaluating of actual operation abnormality based on the invoicing data, the operation start time point, and the operation end time point further includes the steps of: Counting the mileage data of the operation carrier between the operation start time point and the operation end time point, calculating average speed data according to the mileage data, and determining the operation result based on the average speed data; When the determination result is that the operation has been performed, the invoicing data is obtained and compared with the operation start time point and the operation end time point, and the actual operation abnormality is evaluated based on the comparison result and the evaluation result is fed back.

[0017] From the above description, it can be seen that the data analysis dimensions of mileage and average speed are introduced to provide more solid evidence for the authenticity of the operation. After determining that a certain period of time is an operation behavior, the system further counts the ship's moving mileage during this period and calculates the average speed based on this. If the average speed is lower than a preset threshold (such as low-speed sailing), it can be reasonably inferred that this period is an operation state. Then, by checking with the data of the invoicing system, it is finally confirmed whether the operation is legal and compliant. This method enhances the credibility of the judgment basis by adding behavioral feature analysis (such as continuous low speed), and is particularly suitable for dealing with boundary behavior identification under complex sea conditions. For example, a maintenance ship sails continuously for 10 minutes near a wind turbine, but the average speed is only 2 knots. The system determines it as an operation state and matches it with the planned time of the wind turbine, so as to more accurately identify whether there is any illegal operation behavior. Preferably, when the average speed is less than 10% of the maximum design speed of the operation carrier, it is considered to have been operated.

[0018] In some implementations, the step of acquiring the real-time power of the operation carrier and determining and generating the operation start time point and the operation end time point in combination with the first interval specifically includes the following steps: Comparing the size data of the first interval with the size data of the operation carrier, if they match and the detected real-time power of the operation carrier meets the preset operation power, marking the corresponding time point as the operation start time point; If the real-time power of the operation carrier does not match or is detected to be inconsistent with the preset operation power of the operation, the corresponding time point is marked as the operation end time point.

[0019] From the above description, it can be seen that the start time of the operation is marked by judging whether the operation carrier is in the working area of ​​the equipment (the first interval) and has high power output at the same time; and once the position deviates or the power decreases, it is marked as the end time of the operation. The advantage of this solution is that it combines the two elements of "spatial confirmation" and "behavior confirmation", avoiding the uncertainty caused by single-dimensional judgment. For example, a ship stays near wind turbine A for 15 minutes, and the real-time power of the main engine of the operation carrier continues to be 70% of the rated power. When the position is offset by 5 meters, the power drops to 20%. The system identifies this period of operation time, from 9:10 to 9:25, as the official operation interval.

[0020] Preferably, when it is detected that the size data of the operation carrier (such as the length of the ship) exceeds the range of the first interval and the real-time power of the operation carrier (such as the power of the ship's main engine) is greater than or equal to 60% of the maximum power, the corresponding time point is marked as the operation start time point. The reason is that since the operation carrier needs to rely on power to support the carrier itself on the equipment to be operated, the operation carrier needs to use a larger power to support the equipment platform to maintain stability, avoid large fluctuations in the carrier, and ensure the safety of the operators; When it is detected that the size data of the operating carrier (such as the hull length) is within the range of the first interval or the real-time power of the operating carrier (such as the main engine power of the ship) is less than 60% of the maximum power, the corresponding time point will be marked as the end time point of the operation. Since the range of the first interval exceeds the ship length at this time, it indicates that the first position data and the second position data are far apart, and the carrier can sail normally without maintaining the holding equipment.

[0021] Please refer to Figure 2 A supervision terminal 1 for offshore wind power invoicing operations includes a memory 2, a processor 3, and a computer program stored in the memory 2 and executable on the processor 3. When the processor 3 executes the computer program, the steps in a supervision method for offshore wind power invoicing operations are completed.

[0022] Preferably, the above method and terminal application are as follows: Get billing data and related facility data: Planned operation fan n: FJDn; Planned operation fan n start time: TDn; Planned operation fan n end time: TDDn; Captain of the operation and maintenance vessel: L; The calculated actual start time of the fan: T; The actual operating fan calculated: FJ; Ship AIS position data: WZ1....WZn; Ship main engine power: ZJ; Fan position data list: {FJWZ1.......FJWZn}; Here are the steps: 1. List of fans (equipment to be operated) in the maintenance plan 1. Obtain the data (FJDn, TDn, TDDn) in the issued electronic two tickets in real time and add them to the list of planned operation fans; 2. Determine in real time whether the end time TDDn of all planned jobs has expired. If so, clear the data; 3. According to the above two steps, a list of planned operation fans is formed {(FJD1, TD1, TDD1)...(FJDn, TDn, TDDn)}; 2. Collect the AIS position data of the operating carrier and the real-time power data of the ship's main engine in real time, and match the actual operating wind turbine and the actual start time of the wind turbine: 1. Collect AIS location data in real time to determine the distance to all wind turbine location lists. If the distance to wind turbine n is FJWZn≤ship length L and the main engine power ZJ≥60% of the maximum main engine power, then record time T1 as the start time of the operation. When FJWZn>ship length L or ZJ is less than 60% of the maximum main engine power, record time T2 as the end time of the operation. 2. Collect the ship AIS location information from T1 to T2 to form a location information list {WZ1....WZn} for this time period; 3. Calculate the mileage of {WZ1....WZn}; 4. Calculate the ship speed HS based on the duration T2-T1. If HS < 10% of the maximum design speed (100% MCR), it is considered that the operation has been carried out and T = T1, otherwise it will not be recorded.

[0023] 3. Determine whether it is an offshore wind power uninvoiced operation warning 1. Compare the actual operating fan FJn and the actual start-of-operation record T of the fan with the list of planned operating fans {(FJD1, TD1, TDD1)...(FJDn, TDn, TDDn)}: If FJn does not match {FJD1....FJDn}, it is determined that the operating fan has not been invoiced and the result is fed back; If FJn matches FJDx in {FJD1....FJDn}, but T is not between {TDx, TDDx}, it is determined that the fan operation time is abnormal and the result is fed back.

[0024] Otherwise, no warning.

[0025] In summary, the present invention provides a method and terminal for supervising offshore wind power invoicing operations, which can realize the intelligent identification and early warning of the whole process of whether the operation and maintenance ship is actually operating at the designated wind turbine location. By obtaining the dynamic position data of the operation carrier and the fixed position data of the wind turbine, and combining the real-time power changes of the ship's main engine, the time interval of the actual operation is accurately identified, and the consistency comparison is performed against the operation equipment label and operation time recorded in the electronic invoicing system, so that violations such as uninvoiced operations and abnormal operation time can be discovered in time, effectively making up for the regulatory blind spots caused by manual verification lags and data synchronization difficulties in offshore wind power operations. At the same time, a speed judgment mechanism is introduced to calculate the average speed of the ship during the operation, further verify the authenticity of the operation behavior, and improve the credibility of the judgment result. The present invention also has fault tolerance, automatically abandons the evaluation when the operation data is incomplete, and reduces false alarms and resource waste. The above description is only an embodiment of the present invention, and does not limit the patent scope of the present invention. All equivalent transformations made using the contents of the present invention specification and drawings, or directly or indirectly used in related technical fields, are included in the patent protection scope of the present invention.

Claims

1. A method for supervising offshore wind power invoicing operations, characterized in that: Includes steps: Acquire first position data and second position data; the first position data represents the dynamic position of the operation carrier, and the second position data represents the fixed position of the equipment to be operated; Comparing the first position data with the second position data to obtain a first interval, where the first interval represents a distance range between the first position data and the second position data; acquiring the real-time power of the operation carrier and determining and generating an operation start time point and an operation end time point in combination with the first interval; The invoicing data is obtained, and the actual operation abnormality is evaluated based on the invoicing data, the operation start time point and the operation end time point, and the evaluation result is fed back.

2. A method for supervising offshore wind power invoicing operations according to claim 1, characterized in that: The invoicing data at least includes a label of the equipment to be operated and preset operation time data; The evaluation of the abnormality of the actual operation and the feedback of the evaluation result specifically include the following steps: Compare the location data of the tag of the equipment to be operated with the second location data, and if they do not match, evaluate it as an uninvoiced operation and feedback the evaluation result; If they match, the preset operation time data and the operation start time point data are compared. If they do not match, it is evaluated as an abnormal operation and the evaluation result is fed back; if they match, it is evaluated as a normal invoicing operation and the evaluation result is fed back.

3. A method for supervising offshore wind power invoicing operations according to claim 2, characterized in that: Also includes the steps: The preset operation time data and the operation end time point data are compared. If they do not match, the evaluation of this section of records is abandoned.

4. A method for supervising offshore wind power invoicing operations according to claim 1, characterized in that: The evaluating of the actual operation abnormality based on the invoicing data, the operation start time point and the operation end time point also includes the steps of: Counting the mileage data of the operation carrier between the operation start time point and the operation end time point, calculating average speed data according to the mileage data, and determining the operation result based on the average speed data; When the determination result is that the operation has been performed, the invoicing data is obtained and compared with the operation start time point and the operation end time point, and the actual operation abnormality is evaluated based on the comparison result and the evaluation result is fed back.

5. A method for supervising offshore wind power invoicing operations according to claim 1, characterized in that: The step of obtaining the real-time power of the operation carrier and determining and generating the operation start time point and the operation end time point in combination with the first interval specifically includes the following steps: Comparing the size data of the first interval with the size data of the operation carrier, if they match and the detected real-time power of the operation carrier meets the preset operation power, marking the corresponding time point as the operation start time point; If the real-time power of the operation carrier does not match or is detected to be inconsistent with the preset operation power of the operation, the corresponding time point is marked as the operation end time point.

6. A supervision terminal for offshore wind power invoicing operations, characterized in that: The invention comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the following steps are performed: Acquire first position data and second position data; the first position data represents the dynamic position of the operation carrier, and the second position data represents the fixed position of the equipment to be operated; Comparing the first position data with the second position data to obtain a first interval, where the first interval represents a distance range between the first position data and the second position data; acquiring the real-time power of the operation carrier and determining and generating an operation start time point and an operation end time point in combination with the first interval; The invoicing data is obtained, and the actual operation abnormality is evaluated based on the invoicing data, the operation start time point and the operation end time point, and the evaluation result is fed back.

7. A supervisory terminal for offshore wind power invoicing operations according to claim 6, characterized in that: The invoicing data at least includes a label of the equipment to be operated and preset operation time data; The evaluation of the abnormality of the actual operation and the feedback of the evaluation result specifically include the following steps: Compare the location data of the tag of the equipment to be operated with the second location data, and if they do not match, evaluate it as an uninvoiced operation and feedback the evaluation result; If they match, the preset operation time data and the operation start time point data are compared. If they do not match, it is evaluated as an abnormal operation and the evaluation result is fed back; if they match, it is evaluated as a normal invoicing operation and the evaluation result is fed back.

8. A supervisory terminal for offshore wind power invoicing operations according to claim 7, characterized in that: Also includes the steps: The preset operation time data and the operation end time point data are compared. If they do not match, the evaluation of this section of records is abandoned.

9. The monitoring terminal for offshore wind power invoicing operation according to claim 6 is characterized by: The evaluating of the actual operation abnormality based on the invoicing data, the operation start time point and the operation end time point also includes the steps of: Counting the mileage data of the operation carrier between the operation start time point and the operation end time point, calculating average speed data according to the mileage data, and determining the operation result based on the average speed data; When the determination result is that the operation has been performed, the invoicing data is obtained and compared with the operation start time point and the operation end time point, and the actual operation abnormality is evaluated based on the comparison result and the evaluation result is fed back.

10. The monitoring terminal for offshore wind power invoicing operation according to claim 6, characterized in that: The step of obtaining the real-time power of the operation carrier and determining and generating the operation start time point and the operation end time point in combination with the first interval specifically includes the following steps: Comparing the size data of the first interval with the size data of the operation carrier, if they match and the detected real-time power of the operation carrier meets the preset operation power, marking the corresponding time point as the operation start time point; If the real-time power of the operation carrier does not match or is detected to be inconsistent with the preset operation power of the operation, the corresponding time point is marked as the operation end time point.

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