Monitoring data determination method, simulation device, simulation device test method, electronic equipment and storage medium

Abstract

The invention provides a monitoring data determination method, a simulation device, a simulation device test method, electronic equipment and a storage medium, and relates to the field of data processing, the simulation device comprises a displacement device, a plurality of target anchor chains and sensors corresponding to the target anchor chains, the monitoring data determination method comprises the following steps: acquiring displacement parameters of a displacement device; controlling the displacement device to displace in a preset space range at a preset speed, wherein the preset space range is determined based on the displacement parameter; a top end tension data set of the corresponding target anchor chain is collected through a sensor, the top end tension data set comprises top end tension of the target anchor chain in multiple different target states, and the target states comprise at least one of a normal state, an anchor dragging state and an anchor breaking state; and storing the top tension data set, wherein the top tension data set is used for monitoring the target anchor chain in the actual environment.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of data processing, and in particular to a monitoring data determination method, a simulation device, a simulation device testing method, an electronic device and a storage medium. BACKGROUND

[0002] Wind energy is one of green energy, and most of its resources exist on the sea surface. With the vigorous development of wind power generation, fixed wind turbines in shallow seas are gradually moving towards deep-sea floating wind turbines. A wind power generation device generally consists of a wind turbine generator, a blade, a tower, a wind turbine foundation and a mooring system. Online monitoring, as an effective means for safe operation and reliability design of wind turbines, is gradually being applied throughout the life cycle of wind turbine operation and maintenance. For floating wind turbine foundations and mooring systems, they are subjected to environmental loads such as wind, waves and currents for a long time, resulting in damage such as corrosion and wear. For mooring chains, there are also phenomena such as anchor walking and anchor breaking, which seriously affect the normal operation of wind power generation. At present, there are few related technologies for monitoring systems of floating wind turbine foundations and mooring systems. Usually, monitoring sensors are arranged on the blades or the tower to collect data, and then the collected data is monitored manually, which is low in monitoring efficiency and has many misjudgments. SUMMARY

[0003] The present application provides a monitoring data determination method, a simulation device, a simulation device testing method, an electronic device and a storage medium.

[0004] The present application provides a monitoring data determination method, a simulation device, a simulation device testing method, an electronic device and a storage medium. obtaining a displacement parameter of the displacement device; controlling the displacement device to displace at a preset speed within a preset spatial range, the preset spatial range being determined based on the displacement parameter; collecting, by the sensor, a top end tension data set of the corresponding target anchor chain, the top end tension data set including a top end tension of the target anchor chain in a plurality of different target states, the target state including at least one of a normal state, an anchor walking state and an anchor breaking state; storing the top end tension data set, the top end tension data set being used for monitoring the target anchor chain in an actual environment.

[0005] Among them, the damage degrees of the plurality of target anchor chains are different, and the collecting the top end tension data set of the target anchor chain includes: Collecting a top end tension of each target anchor chain in a plurality of different target states to obtain a top end tension dataset, the top end tension dataset including the top end tension of the target anchor chain corresponding to a plurality of different target states in different damage degrees.

[0006] The method further includes: Obtaining size data of the object to be tested and displacement parameters and size data of the simulation device; Determining a size coefficient according to the size data of the object to be tested and the size data of the simulation device; Determining a displacement coefficient of the object to be tested and the simulation device according to the size coefficient; Determining displacement parameters of the simulation device according to the displacement parameters of the object to be tested and the displacement coefficient.

[0007] After obtaining the displacement parameters of the displacement device, the method further includes: Obtaining positioning data of the simulation device; Determining the preset spatial range according to the displacement parameters and the positioning data.

[0008] The method further includes: Obtaining load parameters of the object to be tested and rated load of the simulation device; Determining load parameters of the simulation device according to the load parameters of the object to be tested, the rated load of the simulation device and the size coefficient, the load parameters of the simulation device being used to set the load of the simulation device.

[0009] Another aspect of the embodiments of the present application provides a simulation device, which includes a displacement device, a plurality of target anchor chains and sensors corresponding to the target anchor chains; The top end of the target anchor chain is connected to the displacement device; The sensors are arranged at the top end of the target anchor chain.

[0010] The displacement device further includes an upper platform, a lower platform and a plurality of electric cylinders; The top end of the target anchor chain is connected to the upper platform; The plurality of electric cylinders connect the upper platform and the lower platform.

[0011] Another aspect of the embodiments of the present application provides a simulation device testing method, which includes: Controlling the displacement device to displace a target distance; Obtaining an actual distance of the displacement device; Determining a distance deviation according to the target distance and the actual distance, the distance deviation representing the performance of the displacement device.

[0012] Another aspect of the present application provides an electronic device, comprising: a processor, a memory for storing executable instructions of the processor; the processor, for reading the executable instructions from the memory and executing the executable instructions to implement the monitoring data determination method.

[0013] Another aspect of the present application provides a computer readable storage medium, the storage medium storing a computer program, the computer program being used to execute the monitoring data determination method.

[0014] It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the present application or to limit the scope of the present application. Other features of the present application will become readily apparent from the following description. BRIEF DESCRIPTION OF DRAWINGS

[0015] The above and other objects, features and advantages of the present application will become readily apparent from the detailed description that follows, read in conjunction with the accompanying drawings. In the drawings, several embodiments of the present application are shown by way of example, and not limitation, wherein: In the drawings, identical or corresponding reference signs indicate identical or corresponding parts.

[0016] Figure 1 A flow chart of a monitoring data determination method according to one embodiment of the present application is shown; Figure 2 A flow chart of a monitoring data determination method according to another embodiment of the present application is shown; Figure 3 A flow chart of a monitoring data determination method according to another embodiment of the present application is shown; Figure 4 A flow chart of a monitoring data determination method according to another embodiment of the present application is shown; Figure 5 A structural schematic diagram of a simulation device according to one embodiment of the present application is shown; Figure 6 A flow chart of a simulation device testing method according to one embodiment of the present application is shown; Figure 7 A schematic diagram of a simulation curve of a target anchor chain according to one embodiment of the present application is shown; Figure 8 A structural schematic diagram of an electronic device according to one embodiment of the present application is shown. DETAILED DESCRIPTION

[0017] To make the objectives, features, and advantages of this application more apparent and understandable, the technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0018] To improve the monitoring efficiency of floating wind turbine mooring systems and reduce misjudgments, one embodiment of this application provides a monitoring data determination method applied to a simulation device. The simulation device includes a displacement device, multiple target anchor chains, and sensors corresponding to the target anchor chains. Figure 1 As shown, the method includes: Step 101: Obtain the displacement parameters of the displacement device.

[0019] The simulation device includes a displacement device and multiple target anchor chains connected to the displacement device, as well as a sensor corresponding to each target anchor chain. The effect of ocean current velocity on the anchor chains is simulated by controlling the displacement of the displacement device, and the tension at the tip of the target anchor chains is then collected by the sensors.

[0020] The displacement parameters include at least the angular range of attitude angles such as pitch, roll, and yaw, as well as the distance range in the three axes of lateral, longitudinal, and vertical directions. For example, as shown in Table 1, the displacement parameters of a certain displacement device include: pitch angle... Roll angle is Yaw angle is Horizontal distance is Longitudinal distance is Vertical distance is .

[0021] Table 1

[0022] The displacement parameters of the displacement device can be obtained directly by the user through the human-computer dialogue interface in the simulation device or the electronic device (such as a computer, tablet, etc.) connected to the simulation device, or they can be calculated based on the size data and displacement parameters of the object to be measured input by the user.

[0023] Step 102: Control the displacement device to move at a preset speed within a preset spatial range, wherein the preset spatial range is determined based on the displacement parameters.

[0024] The preset spatial range is the motion boundary of the displacement device determined by the displacement parameters.

[0025] The preset speed is set by the user in advance through the man-machine dialogue interface, including the movement speed and acceleration of the displacement device. For example, as shown in Table 2, in a certain simulation test, the user sets the preset speed of the displacement device through the man-machine dialogue interface, including: the pitch angle speed is , the roll angle speed is , the yaw angle speed is , the pitch angle acceleration is , the roll angle acceleration is , the yaw angle acceleration is , the lateral speed is , the longitudinal speed is , the vertical speed is , the lateral acceleration is , the longitudinal acceleration is , and the vertical acceleration is .

[0026] Table 2

[0027] The displacement device is sent instructions to drive the displacement device to move at a preset speed within a preset space range, so that the tension generated by the displacement device when moving on the target anchor chain can simulate the influence of ocean current speed on the anchor chain.

[0028] In step 103, the sensor collects a top end tension data set corresponding to the target anchor chain, the top end tension data set including the top end tension of the target anchor chain in a plurality of different target states, the target states including at least one of a normal state, an anchor walking state and an anchor breaking state.

[0029] When the displacement device is displaced at a preset speed within a preset space range, the sensor continuously collects the top end tension data of the target anchor chain, and a plurality of target anchor chains are in different target states, including at least one of a normal state, an anchor walking state and an anchor breaking state. The top end tension data of the target anchor chain in different target states is collected to obtain a top end tension data set.

[0030] For example, as shown in Table 3, the simulation device sets six target anchors, which are target anchor A, target anchor B, target anchor C, target anchor D, target anchor E and target anchor F. Among them, target anchor A and target anchor B are in a normal state, target anchor C and target anchor D are in a walking anchor state, and target anchor E and target anchor F are in a broken anchor state. At the 50th ms when the displacement device is controlled to displace at a preset speed in a preset spatial range, the top end tension of target anchor A is 128N, the top end tension of target anchor B is 125N, the top end tension of target anchor C is 205N, the top end tension of target anchor D is 215N, the top end tension of target anchor E is 452N, and the top end tension of target anchor F is 455N. At the 100th ms when the displacement device is controlled to displace at a preset speed in a preset spatial range, the top end tension of target anchor A is 132N, the top end tension of target anchor B is 130N, the top end tension of target anchor C is 208N, the top end tension of target anchor D is 205N, the top end tension of target anchor E is 460N, and the top end tension of target anchor F is 463N. The top end tension data set is obtained.

[0031] Table 3

[0032] In step 104, the top end tension data set is stored, and the top end tension data set is used to monitor the target anchor in the actual environment.

[0033] The top end tension data set is stored, and the top end tension data set is used to monitor the target anchor in the actual environment.

[0034] It should be noted that due to the difference between the environment of the target anchor in the actual environment and the environment of the target anchor in the simulation, including that the target anchor in the actual environment is connected to a ship or a floating wind turbine, it is necessary to convert the top end tension data set to a data set for monitoring in the actual environment according to a certain proportion.

[0035] For example, as shown in Table 4, Table 4 is a top end tension data set obtained by converting the top end tension data set shown in Table 3 according to a proportion of 10 times. Target anchor A, target anchor C and target anchor E are anchor chains of the same specification. The top end tension data set shown in Table 4 is used to monitor the target anchor of the same specification as target anchor A in the actual environment. Whether the target anchor in the actual environment has the risk of walking anchor or broken anchor can be monitored through the top end tension data of target anchor A in the normal state, the top end tension data of target anchor C in the walking anchor state and the top end tension data of target anchor E in the broken anchor state.

[0036] Table 4

[0037] In the above scheme, by means of the simulation device comprising the displacement device, the plurality of target anchor chains and the corresponding sensors, the displacement parameters of the displacement device covering the attitude angle range of pitch angle, roll angle, yaw angle and the three-axis direction distance range of lateral, longitudinal and vertical are first acquired, and then the preset space range is determined based on the displacement parameters. The displacement device is controlled to displace in the preset space range at a preset movement speed and acceleration, so as to simulate the influence of the ocean current speed on the anchor chain. Subsequently, the top end tension data of the plurality of target anchor chains in the normal state, the anchor walking state and the anchor breaking state are continuously collected by the sensors during the displacement process, to form and store the top end tension data set. The top end tension data set can be subsequently converted into a monitoring data set suitable for the actual environment in proportion, for monitoring the target anchor chain in the actual environment. The current floating wind turbine mooring system monitoring technology is effectively filled in the blank, the limitation of relying on sensors arranged on the blades or the tower drum to collect data in the past is broken through, the traditional way of manual monitoring data is abandoned, and the monitoring efficiency of the floating wind turbine mooring system is greatly improved. At the same time, by means of acquiring the top end tension reference data of the anchor chain in different target states and applying it to the actual monitoring, the misjudgment phenomenon in the monitoring process is effectively reduced, and reliable data support is provided for timely identification of the anchor walking and anchor breaking of the floating wind turbine mooring system in the long-term operation in the marine environment, so as to ensure the normal operation of the floating wind turbine power generation.

[0038] In an example of the present application, a monitoring data determination method is also provided, the plurality of target anchor chains have different damage degrees, and the top end tension data set of the target anchor chain is collected, including: Collecting the top end tension of each target anchor chain in a plurality of different target states to obtain the top end tension data set, the top end tension data set including the top end tension of the plurality of target anchor chains with different damage degrees in a plurality of different target states.

[0039] In the simulation device, the plurality of different target anchor chains can be set to have different damage degrees in addition to different target states. The damage degree can be caused by corrosion or wear.

[0040] For example, as shown in Table 3, the target anchor chain A, the target anchor chain B, the target anchor chain C, the target anchor chain D, the target anchor chain E and the target anchor chain F are all target anchor chains of the same specification, the target anchor chain A, the target anchor chain C and the target anchor chain E are all undamaged new anchor chains, and the target anchor chain B, the target anchor chain D and the target anchor chain F are all anchor chains with corrosion damage and consistent damage degree. When the displacement device is controlled to displace in the preset space range at a preset speed, the top end tension of the six target anchor chains is collected respectively to obtain the top end tension of the plurality of target anchor chains with different damage degrees in a plurality of different target states.

[0041] In the above scheme, for a plurality of target anchors in the simulation device, in addition to setting different target states such as normal state, anchor running state, anchor breaking state, etc., different damage degrees caused by corrosion or wear are also set, and then the top end tension of each target anchor with different damage degrees is collected under a plurality of different target states to form a top end tension data set containing a plurality of damage degree differences. The obtained top end tension data set no longer only covers the anchor top end tension data under different states, but also supplements the anchor top end tension data under different damage degrees, further expands the coverage of the monitoring data, so that when the data set is converted in proportion for actual environment monitoring, it can more comprehensively match the target anchors that may exist in different corrosion or wear conditions in the actual environment, provide more sufficient data support for accurately identifying the tension change characteristics of anchors with different damage degrees under various states, effectively avoid the problem of insufficient comprehensive monitoring caused by lack of damage degree related data, and thus make the monitoring of the target anchors in the actual environment more in line with their actual use conditions.

[0042] In an example of the present application, a monitoring data determination method is also provided, as shown in Figure 2 The method further comprises: Step 201, obtaining size data and displacement parameters of the object to be tested and size data of the simulation device.

[0043] The object to be tested can be a ship or a floating wind turbine and the like which needs to be in the marine environment for work.

[0044] The size data of the actual object to be tested is obtained, and the displacement parameters of the object to be tested when it is stationary in the actual environment due to factors such as sea waves. The size data of the simulation device is obtained. The size data of the simulation device can be determined based on the size of the test environment.

[0045] For example, the object to be tested is a floating wind turbine, and the size data of the floating wind turbine includes: platform length 20 meters, width 20 meters, height 8 meters, and anchor length 500 meters. The displacement parameters of the floating wind turbine in the actual marine environment include: lateral displacement ±5200mm, longitudinal displacement ±5200mm, and vertical displacement ±2600mm. The size data of the simulation device includes: platform length 1 meter, width 1 meter, height 0.4 meter, and anchor length 25 meters.

[0046] Step 202, determining a size coefficient according to the size data of the object to be tested and the size data of the simulation device.

[0047] The size coefficient is determined according to the size data of the object to be tested and the size data of the simulation device, i.e. the scaling coefficient of the object to be tested and the simulation device in the size dimension.

[0048] Step 203, determining a displacement coefficient of the object to be tested and the simulation device according to the size coefficient.

[0049] According to the similarity theory, for the uncertain feature relationship of similar structures, it is assumed that the relevant parameters mainly affecting the force of a physical system are external load , elastic modulus , size L, stress , displacement , and the target parameters are stress and displacement, which are expressed as functions of the remaining physical quantities:

[0050]

[0051] It can be obtained that:

[0052]

[0053] Further, using force F and size L as basic physical quantities, the remaining physical quantities can be expressed in dimensionless form:

[0054]

[0055]

[0056]

[0057] Based on the principle of dimensional homogeneity, the dimensions on both sides of the equation are equal, and the equation set can be obtained:

[0058] Substitute the equation set into formulas (1) and (2), and then move the terms to obtain:

[0059]

[0060] According to formula (4), the displacement y is the same as the size L, that is, the displacement coefficient and the size coefficient are the same. Therefore, the corresponding displacement coefficient can be determined by the size coefficient of the measured object and the simulation device.

[0061] Based on the above example, the size coefficient of the measured object and the simulation device is , and the corresponding displacement coefficient is also .

[0062] Step 204, determining the displacement parameter of the simulation device according to the displacement parameter of the measured object and the displacement coefficient.

[0063] Taking the above example, the displacement parameters of the object to be tested include: lateral displacement ±5200mm, longitudinal displacement ±5200mm, vertical displacement ±2600mm. According to the displacement coefficient , the displacement parameters of the simulation device include: lateral displacement ±260mm, longitudinal displacement ±260mm, vertical displacement ±130mm.

[0064] It should be noted that the attitude angle data in the displacement parameters does not need to be adjusted by the displacement coefficient. The attitude angle data of the simulation device can directly use the attitude angle data of the object to be tested. The monitoring system of the object to be tested can also be accessed. The monitoring system of the object to be tested collects real-time displacement parameters of the object to be tested, and then converts the displacement parameters into displacement parameters of the simulation device through the displacement coefficient, and sends them to the simulation device for simulation, realizing real-time monitoring. In addition, a deep learning model can also be accessed, and the collected real-time displacement parameters of the object to be tested and the collected environmental data of the sea area where the object to be tested is located are input into the deep learning model to predict the displacement parameters of the object to be tested in the future period of time, and then predict the top tension that the target anchor chain will bear in the future period of time.

[0065] In the above scheme, by first obtaining the size data, displacement parameters of the object to be tested and the size data of the simulation device, then determining the size coefficient according to the size data of the object to be tested and the simulation device, and then obtaining the displacement coefficient through dimensional analysis according to the similarity theory, it is found that the displacement coefficient and the size coefficient are the same, and then the displacement parameters of the simulation device are determined by using the displacement parameters of the object to be tested and the displacement coefficient. The parameters between the object to be tested and the simulation device can be effectively established, so that the displacement parameters of the simulation device can accurately match the motion characteristics of the object to be tested in the actual environment, avoiding the problem that the simulation device parameters are disconnected with the actual object to be tested, and simplifying the determination step of the displacement parameters of the simulation device. It is ensured that the motion state simulated by the simulation device is more consistent with the actual situation of the object to be tested, so that the top tension data set collected by the simulation device subsequently is more in line with the actual monitoring demand, and provides more accurate data support for the monitoring of the mooring system of the object to be tested in the actual environment.

[0066] In an example of the present application, a monitoring data determination method is also provided, as shown in Figure 3 After obtaining the displacement parameters of the simulation device, the method further comprises: Step 301, obtaining the positioning data of the simulation device.

[0067] In this embodiment, the positioning data of the simulation device is obtained by the sensor to obtain the initial reference position coordinates of the displacement device. For example, the initial positioning data of the displacement device in the three-dimensional coordinate system is (0mm, 0mm, 0mm), wherein the x-axis represents the lateral direction, the y-axis represents the longitudinal direction, and the z-axis represents the vertical direction. The three-dimensional coordinate system takes the center of the displacement device as the origin.

[0068] In step 302, the preset spatial range is determined according to the displacement parameter and the positioning data.

[0069] Taking the above example, the displacement parameter of the simulation device includes: lateral displacement ±260mm, longitudinal displacement ±260mm, vertical displacement ±130mm. The preset spatial range is determined by taking the positioning data of the simulation device as the center and combining the displacement parameter, including: lateral-260mm~260mm, longitudinal-260mm~260mm, vertical-130mm~130mm.

[0070] In the above scheme, after obtaining the displacement parameter of the simulation device, the initial reference position coordinates of the displacement device are first obtained by the sensor as the positioning data, and then the preset spatial range is determined by taking the positioning data as the center and combining the displacement parameter. The movement boundary of the displacement device can be accurately defined, the problem of ambiguous spatial range caused by lack of reference is avoided, the displacement of the displacement device in the preset spatial range is ensured to be more consistent with the movement scene of the object in the actual environment, and then the target anchor chain top tension data collected by the sensor is more consistent with the actual monitoring demand, providing a more accurate basis for subsequent monitoring of the target anchor chain in the actual environment based on the data set.

[0071] In an example of the present application, a monitoring data determination method is also provided, as shown in Figure 4 The method further includes: In step 401, the load parameter of the object to be tested and the rated load of the simulation device are obtained.

[0072] The load parameter is the actual dead load of the object to be tested. The rated load of the simulation device is the maximum load that the simulation device can withstand.

[0073] For example, the object to be tested is a floating wind turbine, and the obtained load parameter is 3000kN. The rated load of the simulation device is 50kN.

[0074] In step 402, the load parameter of the simulation device is determined according to the load parameter of the object to be tested, the rated load of the simulation device and the size coefficient, and the load parameter of the simulation device is used to set the load of the simulation device.

[0075] According to formula (3), when the stress data of the object to be tested is equal to the stress data of the simulation device, the load coefficient between the object to be tested and the simulation device is proportional to the square of the size coefficient. Therefore, in this embodiment, the material of the simulation device is selected to be the same as that of the object to be tested, so that the stress data of the two is also the same. Then the load parameter of the simulation device is determined by the load coefficient and the load parameter of the object to be tested, which does not exceed the rated load.

[0076] Taking the above example, the size coefficient between the object to be tested and the simulation device is , and the corresponding load coefficient is proportional to the square of the size coefficient, that is, . The load parameter of the object to be tested is 4000kN, and the rated load of the simulation device is 50kN. When the load coefficient is 1 times of, the load parameter of the simulation device is 10kN, which does not exceed the rated load of the simulation device. When the load coefficient is 2 times of, the load parameter of the simulation device is 20kN, which does not exceed the rated load of the simulation device. When the load coefficient is 3 times of, the load parameter of the simulation device is 30kN, which does not exceed the rated load of the simulation device. When the load coefficient is 4 times of, the load parameter of the simulation device is 40kN, which does not exceed the rated load of the simulation device. When the load coefficient is 5 times of, the load parameter of the simulation device is 50kN, which does not exceed the rated load of the simulation device. When the load coefficient is 6 times of, the load parameter of the simulation device is 60kN, which exceeds the rated load of the simulation device. Therefore, the load parameter of the simulation device is {10kN, 20kN, 30kN, 40kN, 50kN}. The load of the simulation device can be set based on the load parameter.

[0077] In the above scheme, by first obtaining the load parameter of the object to be tested and the rated load of the simulation device, and then selecting the same material as the object to be tested to make the stress data of the two equal, and combining the relationship that the load coefficient is proportional to the square of the size coefficient, the load parameter of the simulation device that does not exceed the rated load is determined and used to set the load of the simulation device. Both the damage of the simulation device due to the load exceeding the rated load is avoided, and the load of the simulation device and the load of the object to be tested are kept in a reasonable corresponding relationship, ensuring that the stress state of the simulation device in subsequent operation matches the actual stress state of the object to be tested, so that the target anchor chain top tension data set collected by the sensor can better reflect the actual working condition, and provide a more reliable basis for subsequent monitoring of the target anchor chain in the actual environment based on the data set.

[0078] An example of the present application provides a simulation device, as shown in Figure 5 , the simulation device 500 comprises a displacement device 501, a plurality of target anchor chains 502 and sensors 503 corresponding to the target anchor chains 502; The top end of the target anchor chain 502 is connected with the displacement device 501, and the sensor 503 is arranged at the top end of the target anchor chain 502.

[0079] The top end of the target anchor chain 502 is connected with the displacement device 501, and when the displacement device 501 moves in a preset displacement range, the target anchor chain 502 is pulled to simulate the state of the target anchor chain subjected to the force of the sea waves and the like in the actual marine environment. The sensor 503 is arranged at the top end of the target anchor chain 502, so that the tension at the top end of the target anchor chain 502 can be accurately collected.

[0080] An example of the present application further provides a simulation device, as shown in Figure 5 As shown, the displacement device 501 further comprises an upper platform 5011, a lower platform 5012 and a plurality of electric cylinders 5013. The top end of the target anchor chain 502 is connected with the upper platform 5011, and the plurality of electric cylinders 5013 connect the upper platform 5011 and the lower platform 5012.

[0081] The top end of each target anchor chain 502 is connected to the edge of the upper platform 5011. The plurality of electric cylinders 5013 connect the upper platform 5011 and the lower platform 5012.

[0082] The plurality of electric cylinders 5013 are used to receive control instructions and move according to the control instructions to drive the upper platform 5011 to displace in a preset displacement range indicated by the control instructions. The upper platform 5011 displaces in the preset displacement range to pull the target anchor chain 502, so that the target anchor chain 502 bears the tension to simulate the influence of the sea waves and the like on the target anchor chain 502 in the real marine environment.

[0083] It should be noted that when the simulation device is tested, the simulation device needs to be arranged on a plane, and the bottom end of the target anchor chain can be connected to the same plane as the simulation device or a lower plane, such as 30-50 cm lower than the plane where the simulation device is arranged, according to the actual situation or requirements.

[0084] An example of the present application further provides a simulation device testing method, as shown in Figure 6 The method comprises the following steps. In step 601, the displacement device is controlled to displace a target distance.

[0085] The control instruction is sent to the displacement device to control the displacement device to displace the target distance.

[0086] For example, the control instruction is sent to the displacement device, and the control instruction indicates that the displacement device is to displace 200 mm laterally.

[0087] In step 602, the actual distance of the displacement device is obtained.

[0088] After the displacement device displaces according to the control instruction, the actual distance of the displacement device after displacement is obtained.

[0089] Following the example above, after receiving the control command, the displacement device actually moved laterally by 190mm.

[0090] Step 603: Determine the distance deviation based on the target distance and the actual distance, wherein the distance deviation characterizes the performance of the displacement device.

[0091] Continuing with the example above, the distance deviation between the target distance and the actual distance of the displacement device is 20mm. This can characterize the performance of the displacement device.

[0092] It should be noted that the smaller the distance deviation, the better the performance of the control system of the displacement characterizing device.

[0093] In the above scheme, control commands are first sent to the displacement device to control its target displacement distance. After the displacement device completes the displacement operation, its actual displacement distance is obtained. Then, the distance deviation is calculated based on the target distance and the actual distance, and this distance deviation is used to characterize the performance of the displacement device. It is clear that the smaller the distance deviation, the better the performance of the displacement device's control system. This allows for a direct and accurate understanding of the displacement device's operating performance, avoiding insufficient displacement accuracy in subsequent simulations due to poor device performance. It ensures that the displacement device can accurately reproduce the motion of the object under test in the actual environment, thereby guaranteeing the accuracy of the target anchor chain top tension dataset collected by sensors. This provides more reliable support for subsequent monitoring of the target anchor chain in the actual environment based on this dataset.

[0094] In one example of this application, a method for testing a simulation device is also provided, the method comprising: First, construct a simulation curve based on the position and length of the target anchor chain in the actual environment. Divide the simulation curve into n equally straight segments, and take the center point of each segment to obtain n-1 target points.

[0095] like Figure 7 As shown, Figure 7 The simulation curve of a constructed target anchor chain is shown, where, (kN) represents the tip tension of the target anchor chain, which can be decomposed into a horizontal component. (kN) and along the vertical direction (kN), The depth is in meters (m). The bottoming point of the target anchor chain. The length (m) of the target anchor chain. The total length of the target anchor chain is projected horizontally as a distance (m). The angle between the top of the target anchor chain and the horizontal direction.

[0096] After constructing the simulation curve, the tip tension of the target anchor chain, neglecting the influence of wave and current loads, is calculated using the following formula. :

[0097] wherein, is the unit length mass of the target anchor chain in seawater (kN / m).

[0098] The drag force of each curve in the simulation curve is calculated according to the following formula :

[0099] wherein, is the unit length mass of the target anchor chain in seawater (kN / m).

[0100] Since the wave current load on the target anchor chain gradually increases with the increase of the flow velocity of the sea current, the drag force and the inertial force in the tangent direction of the target anchor chain affect the actual top tension of the target anchor chain. Therefore, after the top tension of the target anchor chain without considering the influence of the wave current load is calculated, the drag force and the inertial force of the target anchor chain affected by the wave current load also need to be calculated. The environmental data of the sea area to be measured is collected, and the drag force and the inertial force of the target anchor chain affected by the wave current load are calculated according to the environmental data.

[0101] The drag force of each curve in the simulation curve is calculated according to the following formula :

[0102] wherein, is a preset drag force coefficient, is the seawater density of the sea area to be measured, is the projection area of each curve in the horizontal direction (which can be determined by the segment of the anchor chain in the actual target anchor chain corresponding to the curve), is the flow velocity of the sea current in the horizontal direction.

[0103] The inertial force of each curve in the simulation curve is calculated according to the following formula :

[0104] wherein, is a preset inertial force coefficient, is the seawater density of the sea area to be measured, is the volume of each curve (which can be determined by the segment of the anchor chain in the actual target anchor chain corresponding to the curve), is the acceleration of the sea current in the horizontal direction.

[0105] After the drag force and the inertial force corresponding to each curve are determined, the drag forces corresponding to all curves are summed to obtain the drag force of the target anchor chain . The inertial forces corresponding to all curves are summed to obtain the inertial force of the target anchor chain .

[0106] The top end tension of the target anchor chain according to the following formula :

[0107] The top end tension of the target anchor chain The top end tension data set of the target anchor chain determined by the simulation device can be verified for credibility. If the deviation is small, the top end tension data set is credible. If the deviation is large, the top end tension data set is not credible, and the parameters of the simulation device need to be continuously adjusted until the top end tension data set is credible.

[0108] In the above scheme, first, a simulation curve is constructed according to the position and length of the target anchor chain in the actual environment, the simulation curve is divided into a plurality of straight curves, and the center point of each segment is taken to obtain a target point. Then, the top end tension of the target anchor chain is calculated without considering the influence of wave flow load. Then, the environmental data of the sea area to be measured is collected, and the drag force and inertia force of each curve in the simulation curve are calculated according to the environmental data. The total drag force and total inertia force of the target anchor chain are obtained by summing up the drag forces and inertia forces of all curves. Finally, the actual top end tension of the target anchor chain is calculated in combination with the top end tension without considering the wave flow load. Whether the top end tension data set determined by the simulation device is credible is verified by using the actual top end tension. When the deviation is small, the data set is credible. When the deviation is large, the parameters of the simulation device are adjusted until the data set is credible. Whether the top end tension data set collected by the simulation device is in line with the actual situation can be effectively judged, so as to avoid deviation in monitoring the target anchor chain in the actual environment due to the use of an unreliable data set. At the same time, when the data set is not credible, the adjustment direction can be clearly adjusted to ensure that the subsequent actual monitoring work based on the data set is more reliable.

[0109] In an example of the present application, a motor testing method is also provided, and the method comprises: In this embodiment, the motor of the electric cylinder in the simulation device can be tested.

[0110] The motor generates force in the magnetic field through current or induced electromotive force by cutting magnetic induction lines through movement, thereby converting electrical energy into mechanical energy. Motor testing refers to the maximum load that the motor can withstand. In normal operating conditions, the greater the load capacity, the better the stability when the load changes, and the shorter the response time of the motor.

[0111] The specific process includes controlling the motor to suddenly apply 0.5 times the rated load in a steady state of 0.5 times the rated speed and no load (load), and recording the change curve of the motor speed in this process after the motor runs stably again. If the motor restores the original speed within a given sampling period, it indicates that the anti-load disturbance capability of the motor meets the engineering actual operation requirements.

[0112] In the above scheme, by carrying out specific tests on the motor of the electric cylinder in the simulation device, that is, first controlling the motor to run at 0.5 times the rated speed in a steady state of no load, then suddenly applying 0.5 times the rated load, waiting for the motor to stabilize again, then suddenly unloading, and recording the motor speed change curve in this process, if the motor can restore the original speed within the given sampling period, it means that its anti-load disturbance ability meets the engineering actual operation requirements. Through this test, the load bearing capacity and running stability of the motor can be effectively verified, ensuring that the motor can have good stability and quickly respond when the load changes. As the key component of the displacement device, the reliable performance of the motor can ensure that the displacement device accurately displaces according to the requirements, and then make the target anchor chain top tension data set collected through the sensor more accurate, providing more reliable protection for monitoring the target anchor chain in the actual environment.

[0113] According to embodiments of the present disclosure, the present disclosure also provides an electronic device and a readable storage medium.

[0114] Figure 8 A schematic block diagram of an example electronic device 700 that can be used to implement embodiments of the present disclosure is shown. The electronic device is intended to represent various forms of digital computers, such as laptops, desktops, tablets, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular telephones, smart phones, wearable devices, and other similar computing devices. The components shown here, their connections and relationships, and their functions, are meant to be examples only, and are not meant to limit implementations of the present disclosure described and / or claimed in this document.

[0115] As shown in Figure 8 The electronic device 700 includes a computing unit 701 that can perform various appropriate actions and processes in accordance with a computer program stored in a read-only memory (ROM) 702 or a computer program loaded from a storage unit 708 into a random access memory (RAM) 703. Various programs and data required for the operation of the electronic device 700 can also be stored in the RAM 703. The computing unit 701, the ROM 702, and the RAM 703 are connected to each other through a bus 704. An input / output (I / O) interface 705 is also connected to the bus 704.

[0116] A plurality of components in the electronic device 700 are connected to the I / O interface 705, including: an input unit 706, such as a keyboard, a mouse, etc.; an output unit 707, such as various types of displays, speakers, etc.; a storage unit 708, such as a magnetic disk, an optical disk, etc.; and a communication unit 709, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 709 allows the electronic device 700 to exchange information / data with other devices through a computer network, such as the Internet, and / or various telecommunication networks.

[0117] The computing unit 701 can be various general and / or special-purpose processing components with processing and computing capabilities. Some examples of the computing unit 701 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various specialized artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The computing unit 701 performs various methods and processes described above, such as the monitoring data determination method. For example, in some embodiments, the monitoring data determination method can be implemented as a computer software program, which is tangibly embodied in a machine-readable medium, such as the storage unit 708. In some embodiments, part or all of the computer program can be loaded and / or installed onto the electronic device 700 via the ROM 702 and / or the communication unit 709. When the computer program is loaded onto the RAM 703 and executed by the computing unit 701, one or more steps of the monitoring data determination method described above can be performed. Alternatively, in other embodiments, the computing unit 701 can be configured to perform the monitoring data determination method by any other appropriate means, such as by means of firmware.

[0118] Various implementations of the systems and techniques described above herein can be realized in digital electronic circuitry, integrated circuitry, a field programmable gate array (FPGA), an application specific integrated circuit (ASIC), a system on a chip (SOC), a complex programmable logic device (CPLD), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include implementation in one or more computer programs that are executable and / or interpretable on a programmable system including at least one programmable processor, which can be special or general purpose, coupled to receive data and instructions from, and to transmit data and instructions to, a storage system, at least one input device, and at least one output device.

[0119] Program code for carrying out methods of the present disclosure can be written in any combination of one or more programming languages. The program code can be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the program code, when executed by the processor or controller, produces the functions / operations specified in the flowcharts and / or block diagrams. The program code can be executed entirely on a machine, partially on a machine, partially on a machine as a standalone software package, or entirely on a remote machine or server.

[0120] In the context of the present disclosure, a machine-readable medium can be a tangible medium that contains or stores a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium can include but is not limited to an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of the machine-readable storage medium will include one or more lines of electrical connections, portable computer disks, hard disk drives, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or Flash memory), optical fibers, portable compact disc read-only memories (CD-ROMs), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0121] To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user and a keyboard and a pointing device (e.g., a mouse or a trackball) by which the user can provide input to the computer. Other kinds of devices can be used to provide for interaction with a user as well; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form, including acoustic, speech, or tactile input.

[0122] The systems and techniques described here can be implemented in a computing system that includes a back end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front end component (e.g., a user computer having a graphical user interface or a Web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back end, middleware, or front end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network (LAN), a wide area network (WAN), and the Internet.

[0123] The computer system can include clients and servers. The clients and servers are generally remote from each other and typically interact through a communication network. The relationship of client and server can arise by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The servers can be cloud servers, servers of a distributed system, or servers combined with a blockchain.

[0124] It should be understood that the steps as shown above can be reordered, added, or deleted using various forms of flow. For example, each step described in the present disclosure can be executed in parallel, sequentially, or in a different order, as long as the desired results of the technical solutions disclosed in the present disclosure can be achieved, and the present disclosure is not limited herein.

[0125] In addition, the terms "first", "second" are only for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of indicated technical features. Therefore, the features defined with "first", "second" can explicitly or implicitly include at least one of the features. In the description of the present disclosure, the meaning of "a plurality of" is two or more, unless otherwise specifically limited.

[0126] The above description is merely a specific implementation of the present disclosure, but the protection scope of the present disclosure is not limited thereto. Any person skilled in the art can easily think of changes or replacements within the technical scope disclosed in the present disclosure, which should be covered within the protection scope of the present disclosure. Therefore, the protection scope of the present disclosure should be subject to the protection scope of the claims.

Claims

1. A method of monitoring data determination, characterized by, The method is applied to a simulation device, the simulation device comprising a displacement device, a plurality of target anchor chains, and sensors corresponding to the target anchor chains, the method comprising: obtaining a displacement parameter of the displacement device; controlling the displacement device to displace at a preset speed within a preset spatial range, the preset spatial range being determined based on the displacement parameter; collecting, by the sensors, a top end tension dataset of a corresponding target anchor chain, the top end tension dataset comprising top end tensions of the target anchor chain in a plurality of different target states, the target states comprising at least one of a normal state, an anchor walking state, and an anchor breaking state; storing the top end tension dataset, the top end tension dataset being used for monitoring the target anchor chain in an actual environment.

2. The method of claim 1, wherein, The plurality of target anchor chains have different damage degrees, and the top end tension dataset of the target anchor chain is collected by: collecting top end tensions of each target anchor chain in a plurality of different target states to obtain the top end tension dataset, the top end tension dataset comprising top end tensions of a plurality of target anchor chains with different damage degrees in a plurality of different target states.

3. The method of claim 1, wherein, The method further comprises: obtaining size data of a to-be-tested object and displacement parameters and size data of the simulation device; determining a size coefficient based on the size data of the to-be-tested object and the size data of the simulation device; determining a displacement coefficient of the to-be-tested object and the simulation device based on the size coefficient; determining the displacement parameters of the simulation device based on the displacement parameters of the to-be-tested object and the displacement coefficient.

4. The method of claim 1, wherein, After the displacement parameter of the displacement device is obtained, the method further comprises: obtaining positioning data of the simulation device; determining the preset spatial range based on the displacement parameter and the positioning data.

5. The method of claim 3, wherein, The method further comprises: obtaining a load parameter of a to-be-tested object and a rated load of the simulation device; determining a load parameter of the simulation device based on the load parameter of the to-be-tested object, the rated load of the simulation device, and the size coefficient, the load parameter of the simulation device being used to set a load of the simulation device.

6. The method of claim 1, wherein, The method comprises: controlling the displacement device to displace a target distance; obtaining an actual distance of the displacement device; determining a distance deviation based on the target distance and the actual distance, the distance deviation representing a performance of the displacement device.

7. A simulation device comprising: A displacement device, a plurality of target anchor chains, and sensors corresponding to the target anchor chains; The displacement device comprises an upper platform, a lower platform, and a plurality of electric cylinders; A top end of the target anchor chain is connected to the upper platform; The sensors are arranged at the top end of the target anchor chain.

8. The device of claim 7, comprising: The plurality of electric cylinders connect the upper platform and the lower platform, and are used to receive control instructions and move according to the control instructions to drive the upper platform to displace within a preset displacement range indicated by the control instructions.

9. An electronic device, comprising: a processor and a memory for storing processor-executable instructions; The processor is configured to read the executable instructions from the memory and execute the executable instructions to implement the method of claim 1-6. 10.A computer readable storage medium, the storage medium storing a computer program, the computer program being configured to implement the method of claim 1-6.

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