A safety management system and method for offshore wind power personnel

Abstract

The present invention discloses a safety management system and method for offshore wind power personnel, including a data reading module that reads various identity information and task information; a positioning module that generates positioning information for real-time positioning of offshore wind power personnel; a timing module that generates retention time according to the positioning information; a communication detection module that detects the communication interruption time and signal connection strength value of the communication equipment; a cloud server that includes: an offset calculation unit that generates a real-time moving trajectory according to the positioning information, and inputs a trajectory deviation calculation formula to obtain a trajectory deviation value; a trajectory prediction unit that inputs the real-time moving trajectory into a trajectory prediction model to obtain a predicted trajectory; a danger calculation unit that inputs the trajectory deviation value, retention time, communication interruption time and signal connection strength value into a danger calculation formula to obtain a danger degree value; an instruction generation unit that generates a rescue instruction according to the danger degree value; and a rescue device that rescues offshore wind power personnel according to the rescue instruction. The present invention improves the rescue speed and accuracy of offshore wind power personnel.

Description

Technical Field

[0001] The present invention relates to the technical field of offshore personnel management, and in particular to an offshore wind power personnel safety management system. Background Art

[0002] Wind power generation is the fastest growing green energy technology in the world. While the construction of onshore wind farms is developing rapidly, people have noticed some limitations on the use of onshore wind energy, such as large land area and noise pollution. Due to the abundant offshore wind energy resources and the feasibility of current technology, the ocean will become a rapidly developing wind power market. At present, with the rapid development of new energy technologies, the construction of offshore wind farms has entered an accelerated development stage. Offshore wind power systems require offshore wind power personnel to carry out the construction and operation and maintenance of wind power projects. Due to the large number of emergencies at sea, the safety management of offshore wind power personnel is particularly important. At present, in the existing technology, only the dynamic information of offshore wind power personnel is statistically analyzed, and finally the personnel are contacted to determine whether they are in distress. This method has a slow response and low accuracy, and is prone to false alarms and untimely rescue. Summary of the invention

[0003] In view of the deficiencies in the prior art, an object of the present invention is to provide an offshore wind power personnel safety management system for improving the rescue speed and accuracy of offshore wind power personnel.

[0004] To achieve the above objectives, the present invention provides the following technical solutions: an offshore wind power personnel safety management system, comprising:

[0005] A data storage module is used to store the identity information and corresponding task information of a single offshore wind power personnel, wherein the task information includes the task movement track, and each offshore wind power personnel is also equipped with a communication device, which is connected to a cloud server;

[0006] A data reading module, connected to the data storage module, for reading each of the identity information and corresponding task information;

[0007] A positioning module, used to locate the offshore wind power personnel in real time and generate positioning information;

[0008] A timing module, connected to the positioning module, for generating the retention time of the offshore wind power personnel at the same positioning point according to the positioning information;

[0009] A communication detection module, connected to the communication device and the cloud server respectively, for detecting the communication interruption time and the signal connection strength value after the communication between the communication device and the cloud server starts;

[0010] The cloud server is also connected to the data reading module, the positioning module, the timing module and a rescue device, including:

[0011] an offset calculation unit, configured to generate a real-time moving trajectory according to the positioning information, and input the real-time moving trajectory and the task moving trajectory into a preset trajectory deviation calculation formula to obtain a trajectory deviation value;

[0012] A trajectory prediction unit, connected to the offset calculation unit, is used to input the real-time moving trajectory at the current moment into a pre-trained trajectory prediction model to obtain a predicted trajectory at the next moment;

[0013] a data association unit, connected to the offset calculation unit, for associating the trajectory deviation value, the detention time, the communication interruption time and the signal connection strength value of the same offshore wind power personnel;

[0014] a risk calculation unit connected to the data association unit, and configured to input the trajectory deviation value, the retention time, the communication interruption time, and the signal connection strength value into a preset risk calculation formula to obtain a risk degree value when the trajectory deviation value is greater than a preset first deviation threshold;

[0015] an instruction generating unit, connected to the danger calculating unit and the trajectory predicting unit respectively, and used to generate rescue instructions of different emergency levels according to the danger level value, wherein the rescue instructions include the positioning information and the predicted trajectory;

[0016] The rescue equipment goes to the positioning point corresponding to the positioning information and the actual route corresponding to the predicted trajectory according to the rescue instruction to rescue the offshore wind power personnel.

[0017] Furthermore, the deviation calculation unit includes:

[0018] Establishing a subunit, for placing the actual motion trajectory and the task motion trajectory in the same plane rectangular coordinate system, generating a trajectory curve of the actual motion trajectory and a trajectory curve of the task motion trajectory respectively, and setting sampling points on a plurality of identical horizontal coordinates of the trajectory curve of the actual motion trajectory and the trajectory curve of the task motion trajectory;

[0019] The calculation subunit is connected to the establishment subunit and is used to input the trajectory curve of the actual motion trajectory, the trajectory curve of the task motion trajectory and the number of sampling points into the trajectory deviation calculation formula to obtain the trajectory deviation value.

[0020] Furthermore, the trajectory deviation calculation formula is configured as:

[0021]

[0022] Wherein, D is used to represent the trajectory deviation value;

[0023] n is used to represent the number of sampling points, and the number of sampling points is a positive integer;

[0024] x i Used to represent the actual motion trajectory;

[0025] y i Used to represent the task motion trajectory.

[0026] Furthermore, the trajectory prediction unit includes:

[0027] A training subunit, used to take several groups of the real-time motion trajectories at the previous moment as input, take several groups of the real-time motion trajectories at the current moment as output, and train to obtain the trajectory prediction model;

[0028] A prediction subunit, connected to the training subunit, for inputting the real-time motion trajectory at the current moment into the trajectory prediction model to obtain the predicted trajectory at the next moment, inputting the predicted trajectory and the task movement trajectory into the trajectory deviation calculation formula, replacing the actual motion trajectory with the predicted trajectory, and obtaining a predicted deviation value;

[0029] A comparison subunit is connected to the comparison subunit, compares the predicted deviation value with a preset second deviation threshold, and when the predicted deviation value is greater than the second deviation threshold, retrains the trajectory prediction model until the predicted deviation value is not greater than the second deviation threshold.

[0030] Furthermore, the risk calculation formula is configured as:

[0031]

[0032] a+b+c+d=10;

[0033] Wherein, P is used to represent the danger level value;

[0034] a is used to represent a preset first coefficient, which is a constant;

[0035] b is used to represent a preset second coefficient, where the second coefficient is a constant;

[0036] c is used to represent a preset third coefficient, where the third coefficient is a constant;

[0037] d is used to represent a preset fourth coefficient, where the fourth coefficient is a constant;

[0038] D is used to represent the trajectory deviation value;

[0039] T1 is used to represent the residence time;

[0040] T2 is used to represent the communication interruption time;

[0041] R is used to represent the signal connection strength value.

[0042] Furthermore, the instruction generation unit includes:

[0043] A storage subunit, used for storing a plurality of danger zones, each of which stores the rescue instructions of a corresponding emergency level;

[0044] A matching subunit, connected to the storage subunit, configured to obtain the rescue instruction of the corresponding emergency level within the danger interval according to the danger level value;

[0045] An associating subunit, connected to the matching subunit, is used to associate the rescue instruction with the corresponding positioning information and the predicted trajectory.

[0046] Furthermore, the offshore wind power personnel are used to inspect the carrier communication between each wind power base station and the power plant. A carrier communication status detection module is provided between each wind power base station and the power plant. The carrier communication status detection module is connected to the data storage module and is used to generate the task information according to the area where the carrier communication fault occurs when no carrier signal is received, and send it to the data storage module.

[0047] Furthermore, the data storage device is a T card, and the data reading module is an electronic T card box.

[0048] Furthermore, the positioning module is a Beidou satellite positioning and navigation module.

[0049] A method for offshore wind power personnel safety management, applied to the above offshore wind power personnel safety management system, comprises:

[0050] Step S1, a data reading module reads the identity information and corresponding task information of a single offshore wind power personnel stored in a data storage module, wherein the task information includes a task movement trajectory;

[0051] Step S2, the positioning module performs real-time positioning of the offshore wind power personnel and generates positioning information;

[0052] Step S3, a timing module generates the retention time of the offshore wind power personnel at the same positioning point according to the positioning information;

[0053] Step S4, the communication detection module detects the communication interruption time and the signal connection strength value after the communication between the communication device and the cloud server starts communicating;

[0054] Step S5, the deviation calculation unit generates a real-time moving trajectory according to the positioning information, and inputs the real-time moving trajectory and the task moving trajectory into a preset trajectory deviation calculation formula to obtain a trajectory deviation value;

[0055] Step S6, the trajectory prediction unit inputs the real-time moving trajectory at the current moment into the pre-trained trajectory prediction model to obtain the predicted trajectory at the next moment;

[0056] Step S7, the data association unit associates the trajectory deviation value, the detention time, the communication interruption time and the signal connection strength value of the same offshore wind power personnel;

[0057] Step S8, when the trajectory deviation value is greater than a preset first deviation threshold, the risk calculation unit inputs the trajectory deviation value, the retention time, the communication interruption time and the signal connection strength value into a preset risk calculation formula to obtain a risk degree value;

[0058] Step S9, the instruction generation unit generates a rescue instruction of a corresponding emergency level according to the danger level value, and the rescue instruction is associated with the corresponding positioning information and the predicted trajectory;

[0059] Step S10: The rescue equipment goes to the positioning point corresponding to the positioning information and the actual route corresponding to the predicted trajectory according to the rescue instruction to rescue the offshore wind power personnel.

[0060] Beneficial effects of the present invention:

[0061] The present invention does not need to wait for offshore wind power personnel to call for help. It can automatically generate a distress signal including positioning information and predicted trajectory according to the acquired positioning information, detention time, communication interruption time and signal connection strength value. After receiving the rescue command, the rescue equipment can realize high-precision and high-efficiency rescue of offshore wind power personnel according to the positioning information and predicted trajectory, thereby improving the safety of offshore wind power personnel's construction operations and facilitating promotion. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] Figure 1 It is a structural schematic diagram of the offshore wind power personnel safety management system of the present invention;

[0063] Figure 2 It is a schematic diagram of the steps of the offshore wind power personnel safety management method of the present invention.

[0064] Figure numerals: 1. data storage module; 2. communication equipment; 3. cloud server; 31. offset calculation unit; 311. establishment subunit; 312. calculation subunit; 32. trajectory prediction unit; 321. training subunit; 322. prediction subunit; 323. comparison subunit; 33. data association unit; 34. danger calculation unit; 35. instruction generation unit; 351. storage subunit; 352. matching subunit; 353. association subunit; 4. data reading module; 5. positioning module; 6. timing module; 7. communication detection module; 8. rescue equipment. DETAILED DESCRIPTION

[0065] The present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. The same parts are represented by the same reference numerals. It should be noted that the words "front", "rear", "left", "right", "upper" and "lower" used in the following description refer to directions in the accompanying drawings, and the words "bottom surface" and "top surface", "inner" and "outer" refer to directions toward or away from the geometric center of a specific component, respectively.

[0066] like Figure 1 As shown, an offshore wind power personnel safety management system of this embodiment includes:

[0067] The data storage module 1 is used to store the identity information and corresponding task information of a single offshore wind power personnel. The task information includes the task movement trajectory. Each offshore wind power personnel is also equipped with a communication device 2, which is connected to a cloud server 3:

[0068] A data reading module 4, connected to the data storage module 1, is used to read each identity information and corresponding task information;

[0069] Positioning module 5, used to locate offshore wind power personnel in real time and generate positioning information;

[0070] The timing module 6 is connected to the positioning module 5 and is used to generate the retention time of offshore wind power personnel at the same positioning point according to the positioning information;

[0071] The communication detection module 7 is connected to the communication device 2 and the cloud server 3 respectively, and is used to detect the communication interruption time and the signal connection strength value after the communication between the communication device 2 and the cloud server 3 starts;

[0072] The cloud server 3 is also connected to a data reading module 4, a positioning module 5, a timing module 6 and a rescue device 8, and includes:

[0073] The deviation calculation unit 31 is used to generate a real-time moving trajectory according to the positioning information, and input the real-time moving trajectory and the task moving trajectory into a preset trajectory deviation calculation formula to obtain a trajectory deviation value;

[0074] The trajectory prediction unit 32 is connected to the offset calculation unit 31 and is used to input the real-time moving trajectory at the current moment into the pre-trained trajectory prediction model to obtain the predicted trajectory at the next moment;

[0075] The data association unit 33 is connected to the offset calculation unit 31, and is used to associate the trajectory deviation value, detention time, communication interruption time and signal connection strength value of the same offshore wind power personnel;

[0076] The danger calculation unit 34 is connected to the data association unit 33, and is used to input the trajectory deviation value, the retention time, the communication interruption time and the signal connection strength value into a preset danger calculation formula to obtain a danger degree value when the trajectory deviation value is greater than a preset first deviation threshold;

[0077] The instruction generation unit 35 is connected to the danger calculation unit 34 and the trajectory prediction unit 32, and is used to generate a rescue instruction of a corresponding emergency level according to the danger level value, and the rescue instruction is associated with the corresponding positioning information and the predicted trajectory;

[0078] The rescue equipment 8 goes to the positioning point corresponding to the positioning information and the actual route corresponding to the predicted trajectory according to the rescue instruction to rescue the offshore wind power personnel.

[0079] Specifically, in this embodiment, each offshore wind power personnel is equipped with a data storage module 1 and a communication device 2. The data storage module 1 pre-stores the identity information and task information of the offshore wind power personnel. Before going out to perform offshore operations, the data reading module 4 reads the identity information and task information in each data storage module 1 and uploads it to the cloud server 3. The positioning module 5 is configured on the offshore wind power personnel, and after the offshore wind power personnel start to perform tasks, the offshore wind power personnel are positioned in real time to generate positioning information, and uploaded to the cloud server 3. The timing module 6 can be a timer, which is configured on the offshore wind power personnel and is used to measure the retention time of the positioning information of the offshore wind power personnel at the same positioning point. When the offshore wind power personnel encounter a situation, they will communicate with the cloud server 3 through the communication device 2. The communication detection module 7 can be a communication detector, which is used to detect the signal connection strength and communication interruption time between the communication device 2 and the cloud server 3 during the communication process between the two, and upload them to the cloud server 3. The deviation calculation unit in the cloud server 3 obtains the real-time moving trajectory according to the real-time continuously uploaded positioning information, and then inputs the real-time moving trajectory and the task moving trajectory contained in the corresponding task information into the trajectory deviation calculation formula to obtain the trajectory deviation value. The trajectory prediction unit 32 inputs the real-time moving trajectory at the current moment into the prediction model to obtain the predicted trajectory at the next moment. The danger calculation unit 34 compares the trajectory deviation value with the first deviation threshold, and when the trajectory deviation value is greater than the first deviation threshold, it indicates that the offshore wind power personnel at this time deviate too much from the task moving trajectory. At this time, it is necessary to input the trajectory deviation value, the detention time, the communication interruption time and the signal connection strength value into the danger calculation formula to obtain the danger degree value, and then the instruction generation unit 35 generates rescue instructions of different emergency levels according to the danger degree value, including three emergency levels, low emergency level, medium emergency level and high emergency level, and the execution priority of rescue instructions of different emergency levels is: high emergency level> medium emergency level> low emergency level. The rescue instruction includes the most recently uploaded positioning information and predicted trajectory. The rescue equipment 8 may include a rescue ship and corresponding rescue personnel. After receiving the rescue instruction, the rescue personnel on the rescue ship go to the positioning point where the latest uploaded positioning information is located to search for offshore wind power personnel. If the offshore wind power personnel are not at the positioning point, they can also go to the actual route corresponding to the predicted trajectory to search, which effectively shortens the search time and achieves high-precision and high-efficiency rescue of offshore wind power personnel.

[0080] This technical solution does not require waiting for offshore wind power personnel to call for help. It can automatically generate a distress signal containing positioning information and predicted trajectory based on the acquired positioning information, detention time, communication interruption time and signal connection strength value. After receiving the rescue command, the rescue equipment 8 can realize high-precision and high-efficiency rescue of offshore wind power personnel based on the positioning information and predicted trajectory, thereby improving the safety of offshore wind power personnel's construction operations and facilitating promotion.

[0081] Preferably, the deviation calculation unit includes:

[0082] Establishing a subunit 311, for placing the actual motion trajectory and the task motion trajectory in the same plane rectangular coordinate system, generating a trajectory curve of the actual motion trajectory and a trajectory curve of the task motion trajectory respectively, and setting sampling points on a plurality of identical horizontal coordinates of the trajectory curve of the actual motion trajectory and the trajectory curve of the task motion trajectory;

[0083] The calculation subunit 312 is connected to the establishment subunit 311 and is used to input the trajectory curve of the actual motion trajectory, the trajectory curve of the task motion trajectory and the number of sampling points into the trajectory deviation calculation formula to obtain the trajectory deviation value.

[0084] Preferably, the trajectory deviation calculation formula is configured as:

[0085]

[0086] Where D is used to represent the trajectory deviation value;

[0087] n is used to represent the number of sampling points, and the number of sampling points is a positive integer;

[0088] x i Used to represent the actual motion trajectory;

[0089] y i Used to represent the task motion trajectory.

[0090] Preferably, the trajectory prediction unit 32 includes:

[0091] A training subunit 321 is used to take several groups of real-time motion trajectories at the previous moment as input and several groups of real-time motion trajectories at the current moment as output, and train to obtain a trajectory prediction model;

[0092] The prediction subunit 322 is connected to the training subunit 321 and is used to input the real-time motion trajectory at the current moment into the trajectory prediction model to obtain the predicted trajectory at the next moment, input the predicted trajectory and the task movement trajectory into the trajectory deviation calculation formula, replace the actual motion trajectory with the predicted trajectory, and obtain the predicted deviation value;

[0093] The comparison subunit 323 is connected to the comparison subunit 323, compares the predicted deviation value with a preset second deviation threshold, and when the predicted deviation value is greater than the second deviation threshold, retrains the trajectory prediction model until the predicted deviation value is not greater than the second deviation threshold.

[0094] Specifically, in this embodiment, by setting the comparison subunit 323, the trajectory prediction model is continuously retrained when the prediction deviation value is greater than the second deviation threshold, thereby ensuring the output accuracy of the latest generated trajectory prediction model and improving the accuracy of the predicted trajectory.

[0095] Preferably, the risk calculation formula is configured as:

[0096]

[0097] a+b+c+d=10;

[0098] Among them, P is used to represent the danger level value;

[0099] a is used to represent a preset first coefficient, which is a constant;

[0100] b is used to represent a preset second coefficient, which is a constant;

[0101] c is used to represent a preset third coefficient, which is a constant;

[0102] d is used to represent the preset fourth coefficient, which is a constant;

[0103] D is used to represent the trajectory deviation value;

[0104] T1 is used to indicate the residence time;

[0105] T2 is used to indicate the communication interruption time;

[0106] R is used to represent the signal connection strength value.

[0107] Preferably, the instruction generating unit 35 comprises:

[0108] The storage subunit 351 is used to store a number of dangerous intervals, each of which stores a rescue instruction of a corresponding emergency level;

[0109] The matching subunit 352 is connected to the storage subunit 351 and is used to match the rescue instructions of the corresponding emergency level within the danger interval according to the danger level value;

[0110] The association subunit 353 is connected to the matching subunit 352 and is used to associate the rescue instruction with the corresponding positioning information and the predicted trajectory.

[0111] Specifically, in this embodiment, three danger intervals are stored in the storage subunit 351, namely, a low danger interval, a medium danger interval and a high danger interval, the danger level value in the low danger interval is between 0-30, the danger level value in the medium danger interval is between 31-70, and the danger level value in the high danger interval is above 71. When the danger level value is between 0-30, the urgency of the rescue instruction matched in the low danger interval is low urgency, when the danger level value is between 31-70, the urgency of the rescue instruction matched in the medium danger interval is medium urgency, and when the danger level value is above 71, the urgency of the rescue instruction matched in the high danger interval is high urgency.

[0112] Preferably, offshore wind power personnel are used to inspect and repair the carrier communication between each wind power base station and the power plant. A carrier communication status detection module is provided between each wind power base station and the power plant. The carrier communication status detection module is connected to the data storage module 1 and is used to generate task information according to the area where the carrier communication fault occurs when no carrier signal is received, and send it to the data storage module 1.

[0113] Specifically, in this embodiment, each wind power base station and the power plant are connected via a power carrier line, and each wind power base station shares a carrier communication status detection module to connect to the power plant. The carrier communication status detection module is used to detect the carrier communication status between each wind power base station and the power plant. The carrier communication status detection module is configured with multiple input ports corresponding to each wind power base station. When a certain input port does not receive a carrier communication signal, it indicates that the carrier communication of the wind power base station corresponding to the input port has a fault. Therefore, task information is generated according to the area where the wind power base station where the communication fault occurs is located, and sent to the data storage module 1, so that offshore wind power personnel can go there for maintenance.

[0114] Preferably, the data storage device is a T card, and the data reading module 4 is an electronic T card box.

[0115] Specifically, in this embodiment, the T card saves the identity information of the offshore wind power personnel and the task information of the tasks to be performed, and the electronic T card box reads the identity information of the offshore wind power personnel and the task information of the tasks to be performed and uploads them to the cloud server 3.

[0116] Preferably, the positioning module 5 is a Beidou satellite positioning and navigation module.

[0117] Specifically, in this embodiment, the Beidou satellite positioning and navigation module has both positioning and communication functions, and can communicate with the cloud server 3 while generating positioning information; at the same time, the Beidou satellite positioning and navigation module has a wide coverage range and can be used worldwide; the Beidou satellite positioning and navigation module also supports GPS+Beidou dual-mode positioning. The positioning accuracy is high, and it is safe, reliable, and confidential.

[0118] A method for offshore wind power personnel safety management is applied to the above offshore wind power personnel safety management system, such as Figure 2 As shown, including:

[0119] Step S1, the data reading module 4 reads the identity information and corresponding task information of a single offshore wind power personnel stored in the data storage module 1, and the task information includes the task movement trajectory;

[0120] Step S2, the positioning module 5 performs real-time positioning of offshore wind power personnel and generates positioning information;

[0121] Step S3, the timing module 6 generates the stay time of the offshore wind power personnel at the same positioning point according to the positioning information;

[0122] Step S4, the communication detection module 7 detects the communication interruption time and the signal connection strength value after the communication between the communication device 2 and the cloud server 3 starts communicating;

[0123] Step S5, the deviation calculation unit 31 generates a real-time moving trajectory according to the positioning information, and inputs the real-time moving trajectory and the task moving trajectory into a preset trajectory deviation calculation formula to obtain a trajectory deviation value;

[0124] Step S6, the trajectory prediction unit 32 inputs the real-time moving trajectory at the current moment into the pre-trained trajectory prediction model to obtain the predicted trajectory at the next moment;

[0125] Step S7, the data association unit 33 associates the trajectory deviation value, detention time, communication interruption time and signal connection strength value of the same offshore wind power personnel;

[0126] Step S8, when the trajectory deviation value is greater than a preset first deviation threshold, the risk calculation unit 34 inputs the trajectory deviation value, the retention time, the communication interruption time and the signal connection strength value into a preset risk calculation formula to obtain a risk degree value;

[0127] Step S9, the instruction generation unit 35 generates a rescue instruction of a corresponding emergency level according to the danger level value, and the rescue instruction is associated with the corresponding positioning information and predicted trajectory;

[0128] Step S10: The rescue equipment 8 goes to the positioning point corresponding to the positioning information and the actual route corresponding to the predicted trajectory according to the rescue instruction to rescue the offshore wind power personnel.

[0129] The above are only preferred embodiments of the present invention. The protection scope of the present invention is not limited to the above embodiments. All technical solutions under the concept of the present invention belong to the protection scope of the present invention. It should be pointed out that for ordinary technicians in this technical field, some improvements and modifications without departing from the principle of the present invention should also be regarded as the protection scope of the present invention.

Claims

1. An offshore wind power personnel safety management system, comprising: The data storage module (1) is used to store the identity information and corresponding task information of a single offshore wind power worker, wherein the task information includes a task movement trajectory, and each offshore wind power worker is also equipped with a communication device (2), and the communication device (2) is connected to a cloud server (3): A data reading module (4), connected to the data storage module (1), and used for reading each of the identity information and corresponding task information; A positioning module (5), used for real-time positioning of the offshore wind power personnel and generating positioning information; A timing module (6), connected to the positioning module (5), for generating the retention time of the offshore wind power personnel at the same positioning point according to the positioning information; A communication detection module (7), connected to the communication device (2) and the cloud server (3), respectively, for detecting a communication interruption time and a signal connection strength value after the communication between the communication device (2) and the cloud server (3) starts; The cloud server (3) is also connected to the data reading module (4), the positioning module (5), the timing module (6) and a rescue device (8), and includes: An offset calculation unit (31) is used to generate a real-time moving trajectory according to the positioning information, and input the real-time moving trajectory and the task moving trajectory into a preset trajectory deviation calculation formula to obtain a trajectory deviation value; A trajectory prediction unit (32), connected to the offset calculation unit (31), is used to input the real-time moving trajectory at the current moment into a pre-trained trajectory prediction model to obtain a predicted trajectory at the next moment; A data association unit (33), connected to the offset calculation unit (31), used to associate the trajectory deviation value, the detention time, the communication interruption time and the signal connection strength value of the same offshore wind power personnel; a risk calculation unit (34), connected to the data association unit (33), for inputting the track deviation value, the retention time, the communication interruption time and the signal connection strength value into a preset risk calculation formula to obtain a risk degree value when the track deviation value is greater than a preset first deviation threshold; An instruction generating unit (35) is connected to the risk calculating unit (34) and the trajectory predicting unit (32) respectively, and is used to generate a rescue instruction of a corresponding emergency level according to the risk level value, wherein the rescue instruction is associated with the corresponding positioning information and the predicted trajectory; The rescue equipment (8) goes to the positioning point corresponding to the positioning information and the actual route corresponding to the predicted trajectory according to the rescue instruction to rescue the offshore wind power personnel.

2. The offshore wind power personnel safety management system according to claim 1 is characterized by: The deviation calculation unit comprises: Establishing a subunit (311) for placing the actual motion trajectory and the task motion trajectory in the same plane rectangular coordinate system, generating a trajectory curve of the actual motion trajectory and a trajectory curve of the task motion trajectory respectively, and setting sampling points on a plurality of identical horizontal coordinates of the trajectory curve of the actual motion trajectory and the trajectory curve of the task motion trajectory; A calculation subunit (312) is connected to the establishment subunit (311) and is used to input the trajectory curve of the actual motion trajectory, the trajectory curve of the task motion trajectory and the number of sampling points into the trajectory deviation calculation formula to obtain the trajectory deviation value.

3. The offshore wind power personnel safety management system according to claim 1 is characterized by: The trajectory deviation calculation formula is configured as: Wherein, D is used to represent the trajectory deviation value; n is used to represent the number of sampling points, and the number of sampling points is a positive integer; x i Used to represent the actual motion trajectory; y i Used to represent the movement trajectory of the task.

4. The offshore wind power personnel safety management system according to claim 1, characterized in that: The trajectory prediction unit (32) comprises: A training subunit (321) is used to take several groups of the real-time motion trajectories at the previous moment as input and several groups of the real-time motion trajectories at the current moment as output, and train to obtain the trajectory prediction model; A prediction subunit (322), connected to the training subunit (321), is used to input the real-time motion trajectory at the current moment into the trajectory prediction model to obtain the predicted trajectory at the next moment, input the predicted trajectory and the task movement trajectory into the trajectory deviation calculation formula, replace the actual motion trajectory with the predicted trajectory, and obtain a predicted deviation value; A comparison subunit (323) is connected to the comparison subunit (323), compares the predicted deviation value with a preset second deviation threshold, and when the predicted deviation value is greater than the second deviation threshold, retrains the trajectory prediction model until the predicted deviation value is no greater than the second deviation threshold.

5. The offshore wind power personnel safety management system according to claim 1, characterized in that: The risk calculation formula is configured as: a+b+c+d=10; Wherein, P is used to represent the danger level value; a is used to represent a preset first coefficient, which is a constant; b is used to represent a preset second coefficient, where the second coefficient is a constant; c is used to represent a preset third coefficient, where the third coefficient is a constant; d is used to represent a preset fourth coefficient, where the fourth coefficient is a constant; D is used to represent the trajectory deviation value; T1 is used to represent the residence time; T2 is used to represent the communication interruption time; R is used to represent the signal connection strength value.

6. The offshore wind power personnel safety management system according to claim 1, characterized in that: The instruction generation unit (35) comprises: A storage subunit (351) is used to store a plurality of dangerous intervals, each of which stores the rescue instructions of a corresponding emergency level; A matching subunit (352), connected to the storage subunit (351), used for matching the danger level value within the danger interval to obtain the rescue instruction of the corresponding emergency level; An associating subunit (353), connected to the matching subunit (352), is used to associate the rescue instruction with the corresponding positioning information and the predicted trajectory.

7. The offshore wind power personnel safety management system according to claim 1, characterized in that: The offshore wind power personnel are used to inspect the carrier communication between each wind power generation base station and the power plant. A carrier communication status detection module is provided between each wind power generation base station and the power plant. The carrier communication status detection module is connected to the data storage module (1) and is used to generate the task information according to the area where the carrier communication fault occurs when no carrier signal is received, and send it to the data storage module (1).

8. The offshore wind power personnel safety management system according to claim 1, characterized in that: The data storage device is a T card, and the data reading module (4) is an electronic T card box.

9. The offshore wind power personnel safety management system according to claim 1, characterized in that: The positioning module (5) is a Beidou satellite positioning and navigation module.

10. A method for offshore wind power personnel safety management, applied to the offshore wind power personnel safety management system according to any one of claims 1 to 9, characterized in that: include: Step S1, the data reading module (4) reads the identity information and corresponding task information of a single offshore wind power personnel stored in the data storage module (1), wherein the task information includes a task movement trajectory; Step S2, the positioning module (5) performs real-time positioning of the offshore wind power personnel and generates positioning information; Step S3, the timing module (6) generates the retention time of the offshore wind power personnel at the same positioning point according to the positioning information; Step S4, the communication detection module (7) detects the communication interruption time and the signal connection strength value after the communication between the communication device (2) and the cloud server (3) starts; Step S5, the deviation calculation unit (31) generates a real-time moving trajectory according to the positioning information, and inputs the real-time moving trajectory and the task moving trajectory into a preset trajectory deviation calculation formula to obtain a trajectory deviation value; Step S6, the trajectory prediction unit (32) inputs the real-time moving trajectory at the current moment into a pre-trained trajectory prediction model to obtain a predicted trajectory at the next moment; Step S7, the data association unit (33) associates the trajectory deviation value, the detention time, the communication interruption time and the signal connection strength value of the same offshore wind power personnel; Step S8, when the trajectory deviation value is greater than a preset first deviation threshold, the risk calculation unit (34) inputs the trajectory deviation value, the retention time, the communication interruption time and the signal connection strength value into a preset risk calculation formula to obtain a risk degree value; Step S9, the instruction generation unit (35) generates a rescue instruction of a corresponding emergency level according to the danger level value, wherein the rescue instruction is associated with the corresponding positioning information and the predicted trajectory; Step S10, the rescue equipment (8) goes to the positioning point corresponding to the positioning information and the actual route corresponding to the predicted trajectory according to the rescue instruction to rescue the offshore wind power personnel.

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