Methods and devices for forecasting the operational capability of jack-up platforms, electronic equipment, and storage media.

Abstract

This invention provides a method and apparatus, electronic device, and storage medium for predicting the operational capability of a jack-up platform. The prediction method includes: acquiring the phase difference between the first load that each leg can withstand during preloading and the chord; calculating the leg load threshold and bending moment threshold based on the first load and chord phase difference; acquiring the second load, first bending moment, and second bending moment experienced by the leg under the current operating condition; summing the first and second bending moments to obtain the actual bending moment; and comparing the actual bending moment with the bending moment threshold, and the second load with the leg load threshold, to predict the operational capability of the platform body. According to the embodiments of this invention, the prediction method first performs preloading on the jack-up platform and acquires the load limit of the legs, acquires real-time data during the operation, and predicts the operational capability of the platform body based on the load limit, ensuring the safety of the jack-up platform operation.

Description

Technical Field

[0001] This invention relates to the field of jack-up platforms, and more particularly to a method and apparatus for predicting the operational capacity of jack-up platforms, electronic equipment, and storage media. Background Technology

[0002] Jack-up platforms are essential equipment for marine resource development, such as jack-up drilling rigs for oil and gas extraction, jack-up construction platforms for offshore wind power equipment installation, and dedicated jack-up accommodation platforms.

[0003] Generally, jack-up platforms have three to six legs. Due to the uncertainties in seabed geological conditions and environmental loads, the operational capabilities of jack-up platforms can be affected by these uncertainties. When environmental or geological conditions exceed the original design specifications, operating according to the crane's rated capacity will pose risks. Therefore, monitoring the platform's operational capabilities under current conditions to ensure safe operation has become an important and urgent need. Summary of the Invention

[0004] In view of this, the purpose of the present invention is to provide a method for predicting the operational capabilities of a self-elevating platform, which can predict the operational capabilities of the platform body in real time.

[0005] To solve the above-mentioned technical problems, the present invention adopts the following technical solution:

[0006] In a first aspect, according to an embodiment of the present invention, a method for predicting the operational capacity of a self-elevating platform includes: multiple truss-type legs and a platform body, wherein the platform body is connected to each of the truss-type legs one-to-one via a lifting mechanism, and each truss-type leg includes multiple vertically arranged chords; the method includes the following steps:

[0007] Obtain the phase difference between the first load that each of the pile legs can withstand during the preloading process and the chord;

[0008] Based on the first load of the pile leg and the phase difference between the chord, the pile leg load threshold and bending moment threshold are calculated.

[0009] Obtain the second load on the pile leg under the current operating condition;

[0010] Obtain the first bending moment caused by the vertical guidance of the pile leg to the main body of the platform under the current working state;

[0011] Obtain the second bending moment of the pile leg caused by the phase difference of the chord in the current working state;

[0012] The actual bending moment is obtained by summing the first bending moment and the second bending moment.

[0013] The actual bending moment is compared with the bending moment threshold, and the second load is compared with the pile leg load threshold to predict the current operational capability of the platform body.

[0014] Furthermore, obtaining the phase difference between the first load that each of the pile legs can withstand during the preloading process and the chord also includes:

[0015] Obtain the vertical load on each chord in each of the pile legs during the preloading process;

[0016] Calculate the string load threshold for each string based on the vertical load on each string.

[0017] Furthermore, obtaining the second load on the pile leg under the current operating state includes:

[0018] Obtain the vertical load on each chord member in the pile leg;

[0019] The second load is obtained by calculating the sum of the vertical loads on all the chords.

[0020] Furthermore, obtaining the first bending moment caused by the vertical guidance of the pile leg on the platform body under the current operating state includes:

[0021] The first bending moment is calculated based on the vertical load on each chord and the distance between the chords.

[0022] Furthermore, the calculation of the first bending moment based on the vertical load on each chord and the distance between the chords includes:

[0023] Determine the vertical load bending moment caused by the chord load based on the vertical load on each chord and the distance between the chords;

[0024] The first bending moment is calculated based on the vertical load bending moment and the correspondence between the vertical load bending moment and the first bending moment.

[0025] Furthermore, obtaining the second bending moment of the pile leg caused by the phase difference of the chord in the current operating state includes:

[0026] The phase difference of the chord is measured using a pile leg phase difference monitoring device;

[0027] The second bending moment is determined based on the phase difference of the chord and the structural strength of the pile leg.

[0028] Furthermore, the measurement of the chord phase difference using the pile leg phase difference monitoring device includes:

[0029] The distance between the top of each of the string members and the top of the lifting mechanism is measured using a rangefinder;

[0030] Obtain the maximum and minimum values ​​of the distance between the top of the string and the top of the lifting mechanism;

[0031] The difference between the maximum and minimum distances between the top of the string and the top of the lifting mechanism is used to obtain the phase difference of the string.

[0032] Furthermore, the comparison of the actual bending moment with the bending moment threshold, and the comparison of the second load with the pile leg load threshold, to predict the current operational capability of the platform body, includes:

[0033] The difference between the actual bending moment and the bending moment threshold is calculated.

[0034] The difference between the second load and the pile leg load threshold is calculated.

[0035] The operational capability of the platform body is predicted by calculating the difference between the current vertical load on the chord and the chord load threshold.

[0036] Furthermore, the method also includes:

[0037] The uc value of the pile leg is calculated based on the second load on the pile leg and the actual bending moment.

[0038] An alarm is issued when the uc value is greater than 1.0.

[0039] Secondly, embodiments of the present invention also provide a monitoring device for a self-elevating platform, wherein the self-elevating platform includes: multiple truss-type legs and a platform body, the platform body being connected one-to-one to each of the truss-type legs via a lifting mechanism, each truss-type leg including multiple vertically arranged chords, and the device including:

[0040] The first acquisition module is used to acquire the first load and the phase difference between the chord and the chord during the preloading process of each of the pile legs;

[0041] The preload module is used to calculate the pile leg load threshold and bending moment threshold based on the first load of the pile leg and the phase difference between the chord and the chord.

[0042] The second acquisition module is used to acquire the second load of the pile leg in the current working state;

[0043] The third acquisition module is used to acquire the first bending moment caused by the vertical guidance of the pile leg to the main body of the platform in the current working state;

[0044] The fourth acquisition module is used to acquire the second bending moment of the pile leg caused by the phase difference of the chord in the current working state;

[0045] The summation module is used to sum the first bending moment and the second bending moment to obtain the actual bending moment;

[0046] The forecasting module is used to compare the actual bending moment with the bending moment threshold, and the second load with the pile leg load threshold, in order to forecast the current operational capability of the platform body.

[0047] Thirdly, embodiments of the present invention also provide an electronic device, characterized in that it includes: a processor; and a memory, wherein computer program instructions are stored in the memory.

[0048] When the computer program instructions are executed by the processor, the processor performs the prediction method described in any embodiment of the first aspect.

[0049] Fourthly, embodiments of the present invention also provide a computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program, which, when executed by a processor, causes the processor to perform the forecasting method described in any embodiment of the first aspect.

[0050] The above-described technical solution of the present invention has at least one of the following beneficial effects:

[0051] The present invention discloses a method for predicting the operational capacity of a self-elevating platform. This method first performs a pre-stressing operation on the self-elevating platform and obtains the load limit of the pile legs. Then, it acquires real-time data during the operation and predicts the operational capacity of the current platform body based on the load limit, thereby ensuring the safety of the self-elevating platform operation. Attached Figure Description

[0052] Figure 1 This is a top view of the self-elevating platform in an embodiment of the present invention;

[0053] Figure 2 This is a side view of the self-elevating platform in an embodiment of the present invention;

[0054] Figure 3 This is a top view of a truss-type pile leg in an embodiment of the present invention;

[0055] Figure 4 This is a schematic diagram of the structure of the lifting pile leg and pile leg phase difference monitoring device in an embodiment of the present invention;

[0056] Figure 5 A flowchart of a method for predicting the operational capability of a self-elevating platform according to an embodiment of the present invention;

[0057] Figure 6 A block diagram of the self-elevating platform operation capability forecasting device provided in an embodiment of the present invention;

[0058] Figure 7 A schematic diagram of real-time monitoring of the self-elevating platform operation capability forecasting device provided in this embodiment of the invention.

[0059] Figure label:

[0060] 1. Platform body; 2. Pile legs; 2A. First pile leg; 2A1. First chord; 2A2. Second chord; 2A3. Third chord; 2B. Second pile leg; 2C. Third pile leg; 2D. Fourth pile leg; 4. Lifting mechanism; 5. Pile leg phase difference monitoring device. Detailed Implementation

[0061] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the described embodiments of the present invention are within the scope of protection of the present invention.

[0062] like Figures 1 to 4 As shown, a jack-up platform is a type of platform capable of freely rising and falling, used for marine resource development. The jack-up platform includes legs 2, a platform body 1, and a lifting mechanism 4. The platform body 1 is connected one-to-one to each of the truss-type legs 2 via the lifting mechanism 4. Each truss-type leg 2 includes multiple vertically arranged chords. The legs 2 extend to the seabed, standing upright on the seabed, and support the platform body 1, raising its bottom a certain distance above the sea surface. Based on operational requirements, the lifting mechanism 4 enables the platform body 1 to rise and fall freely to meet operational needs.

[0063] A jack-up platform typically consists of three to six legs. Figure 1 The self-elevating platform in the middle includes four pile legs, namely the first pile leg 2A, the second pile leg 2B, the third pile leg 2C and the fourth pile leg 2D, which support the main body of the platform. Figure 2 The main body of the platform 1 is lifted off the sea surface by a certain distance under the action of the pile legs 2.

[0064] like Figure 3 As shown, the triangular structure of the pile legs includes three chords: chord 1 (2A1), chord 2 (2A2), and chord 3 (2A3), with a distance L between adjacent chords. Each chord is connected to the platform body 1 via a lifting mechanism. In other words, the platform body 1 is connected to the chord via the lifting mechanism, thus allowing the platform body 1 to rise and fall along the chord via the lifting mechanism.

[0065] In a specific example, such as Figure 4 As shown, the lifting mechanism includes multiple lifting units, each chord is connected to multiple lifting units, and each lifting unit includes a gear that matches the rack on the chord.

[0066] The following describes in detail, with reference to the accompanying drawings, a method for predicting the operational capability of a self-elevating platform according to an embodiment of the present invention.

[0067] Specifically, the present invention provides a method for predicting the operational capacity of a self-elevating platform, such as... Figure 5 As shown, it includes the following steps:

[0068] S1, obtain the phase difference between the first load on each of the pile legs and the chord during the preloading process.

[0069] S2, based on the first load of the pile leg and the phase difference between the chord, calculate the pile leg load threshold and bending moment threshold.

[0070] S3, obtain the second load of the pile leg in the current working state.

[0071] S4, obtain the first bending moment caused by the vertical guidance of the pile leg on the platform body under the current working state, denoted as M. leg 2.

[0072] S5, obtain the second bending moment of the pile leg caused by the phase difference of the chord in the current working state, denoted as M. leg 3.

[0073] S6. The actual bending moment is obtained by summing the first bending moment and the second bending moment.

[0074] Actual bending moment M 实 =M leg 2+M leg 3. Since both the first bending moment and the second bending moment are vectors, the summation here is the summation of two vectors, not a simple numerical summation.

[0075] S7. Compare the actual bending moment with the bending moment threshold, and the second load with the pile leg load threshold, to predict the current operational capability of the platform body.

[0076] In other words, once the jack-up platform enters the work site, preloading is required to prevent foundation penetration during subsequent operations. During preloading, the phase difference between the first load the legs can withstand and the chord is obtained. Based on this phase difference and the structural strength of the legs, the threshold load and bending moment that the legs can withstand are calculated. The second load and actual bending moment, acquired in real-time during operation, are compared with those acquired during preloading to predict the current operational capacity of the platform and improve the accuracy of the legs' real-time status.

[0077] Preloading involves sequentially applying high vertical loads to multiple pile legs to stabilize the foundation. The maximum load that the pile legs can withstand is determined during the preloading process, assuming... Figure 1 The preloads of the four pile legs 2A, 2B, 2C and 2D are PA, PB, PC and PD, respectively. Therefore, during subsequent operations, the vertical load on pile leg 2A cannot exceed PA, the vertical load on pile leg 2B cannot exceed PB, the vertical load on pile leg 2C cannot exceed PC, and the vertical load on pile leg 2D cannot exceed PD.

[0078] In one embodiment, step S1 includes:

[0079] S11. Obtain the vertical load on each chord in each of the pile legs during the preloading process.

[0080] S12. Calculate the string load threshold for each string based on the vertical load on each string.

[0081] In other words, for truss-type pile legs, not only must the total vertical load of a single pile leg not exceed the specified value during preloading, but the load on a single chord must also not exceed the capacity of the lifting mechanism. When the platform is subjected to external loads, such as environmental loads or crane operation loads, not only will additional loads be generated among the four pile legs, but the vertical load will also be redistributed among the four pile legs, and the vertical load among the four chords will also be redistributed, resulting in an increase in the load on a single chord. Taking pile leg 2A as an example, the vertical loads PA1, PA2, and PA3 of the three chords of pile leg 2A must not exceed the total bearing capacity of the gear set on a single chord of that pile leg.

[0082] It should be noted that once a pile leg bears a certain vertical load, the maximum bending moment it can withstand is fixed. Therefore, the vertical load and bending moment capacity of the platform during actual operation are also fixed. As the vertical load increases, the bending moment it can withstand decreases.

[0083] In one embodiment, step S3 includes:

[0084] S31. Obtain the vertical load on each chord in the pile leg.

[0085] For example, with the platform body 1 in a locked state, sensors mounted on the pile legs can be used to collect the vertical load on each chord. Depending on the lifting principle of the lifting unit, the sensors can be torque sensors or pressure sensors. When the lifting unit uses an electric principle for lifting, a torque sensor is used, for example; when the lifting unit uses a hydraulic principle for lifting, a pressure sensor is used, for example. Preferably, the sensors acquire the detection values ​​of the sensors within each lifting unit. Each sensor is used to acquire the vertical load of the gear within the corresponding lifting unit, denoted as f1, f2, f3…fn. Each chord has multiple lifting units, meaning the vertical load on each chord is F. chord = f1 + f2 + ... + fn.

[0086] S32. Calculate the sum of the vertical loads on all the chords to obtain the second load.

[0087] In this embodiment of the invention, the pile leg includes three chord members: chord member 1, chord member 2, and chord member 3. The vertical loads on these three chord members are calculated separately according to the steps described above and denoted as F. chord 1, F chord 2, F chord 3. Therefore, the sum of the vertical loads on all chords of a single pile leg, which is also the second load mentioned above, is F. leg =F chord 1+F chord 2+F chord 3.

[0088] In one embodiment, step S4 includes:

[0089] S41. Calculate the first bending moment based on the vertical load on each chord and the distance between the chords.

[0090] Furthermore, the vertical load moment caused by the chord load is determined based on the vertical load on each chord and the distance between the chords.

[0091] In one embodiment, the bending moment in the x-direction and the bending moment in the y-direction are calculated based on the vertical load on each chord and the distance between the chords.

[0092] The bending moment of the pile leg in the x direction is denoted as M. leg 1x, M leg 1x=F chord 1*L*sin(60°)*2 / 3-(F chord2+F chord 3)*L*sin(60°) / 3.

[0093] The bending moment of the pile leg in the y direction is denoted as M. leg 1y, M leg 1y=F chord 2*L / 2-F chord 3*L / 2.

[0094] The vertical load bending moment is calculated based on the bending moment in the x-direction and the bending moment in the y-direction.

[0095] The vertical load bending moment of the pile leg is denoted as M. leg 1, M leg 1 = √(M) leg 1x*M leg 1x+M leg 1y*M leg 1y).

[0096] S42. Calculate the first bending moment based on the vertical load bending moment and the correspondence between the vertical load bending moment and the first bending moment.

[0097] For truss-type pile legs, the bending moment caused by the chord load (i.e., the vertical load bending moment) and the first bending moment caused by the upper and lower guides are in a certain proportion. This proportion, or correspondence, depends on the stiffness of the pile legs and the platform body, and can be obtained through calculation and analysis during the platform design.

[0098] Therefore, the first bending moment M leg 2 = M leg 1*(1+k), where k is the ratio coefficient of the bending moment of the upper and lower guides, i.e. the first bending moment, to the bending moment of the vertical load.

[0099] In other words, as long as the vertical load and pile leg design parameters are collected, the bending moment caused by the upper and lower guides can be determined.

[0100] In one embodiment, step S5 includes:

[0101] S51, the phase difference of the chord is measured by the pile leg phase difference monitoring device.

[0102] The self-elevating platform may also include a leg phase difference monitoring device 5, which is arranged adjacent to the lifting mechanism 4. The leg phase difference monitoring device, also known as the RPD (Rack Phase Difference) monitoring device, is used to monitor the actual relative height between racks at the same theoretical horizontal height position on multiple chords of the leg. During the platform's lifting process, the chords on the leg experience uneven stress, causing different displacements of the racks on different chords in the height direction.

[0103] It should be noted that the pile leg phase difference monitoring device can detect the pile leg bending moment during the lifting process, but it cannot be used to detect the pile leg bending moment after the platform is locked.

[0104] S52, determine the second bending moment based on the phase difference of the chord and the structural strength of the pile leg.

[0105] In other words, the second bending moment M is calculated based on the RPD value obtained from the pile leg phase difference monitoring device and the structural strength of the pile leg. leg 3.

[0106] In one embodiment, step S51 includes:

[0107] S511, the distance between the top of each of the chords and the top of the lifting mechanism is measured by a rangefinder.

[0108] S512, obtain the maximum and minimum values ​​of the distance between the top of the string and the top of the lifting mechanism.

[0109] S513, the difference between the maximum and minimum distances between the top of the string and the top of the lifting mechanism is used to obtain the phase difference of the string.

[0110] The position of each chord is monitored in real time by laser rangefinders installed on the three chord lifting mechanisms. The rangefinders can measure the distance from the top of the chord to the top of the lifting mechanism. The maximum value minus the minimum value of the three distances is the RPD value of the pile leg.

[0111] In one embodiment, step S7 includes:

[0112] The difference between the actual bending moment and the bending moment threshold is calculated.

[0113] The difference between the second load and the pile leg load threshold is calculated.

[0114] The operational capability of the platform body is predicted by calculating the difference between the current vertical load on the chord and the chord load threshold.

[0115] In other words, the actual bending moment and second load of the pile leg detected during operation, as well as the current vertical load on the chord, are compared with the bending moment threshold, state load threshold, and chord load threshold detected during preloading, in order to monitor the current force and stress state of the pile leg and chord in real time.

[0116] In one embodiment, the method further includes:

[0117] The uc value of the pile leg is calculated based on the second load on the pile leg and the actual bending moment.

[0118] An alarm is issued when the uc value is greater than 1.0.

[0119] The uc value refers to the ratio of the stress value of the pile leg to the allowable stress value, and this uc value cannot exceed 1.0. For chord members, the vertical load and bending moment that affect the uc value are used as part of the forecast data to more accurately reflect the current state of the pile leg and chord members.

[0120] This invention also provides a self-elevating platform operation capacity forecasting device, wherein the self-elevating platform includes: multiple truss-type legs and a platform body, the platform body being connected one-to-one to each of the truss-type legs via a lifting mechanism, and each truss-type leg including multiple vertically arranged chords, such as... Figure 6 As shown, there are a first acquisition module, a pre-compression module, a second acquisition module, a third acquisition module, a fourth acquisition module, a summation module, and a forecast module.

[0121] The first acquisition module is used to acquire the first load and the phase difference between the chord and the chord during the preloading process of each pile leg.

[0122] The preload module is used to calculate the pile leg load threshold and bending moment threshold based on the first load of the pile leg and the phase difference between the chord and the chord.

[0123] The second acquisition module is used to acquire the second load of the pile leg in the current working state.

[0124] The third acquisition module is used to acquire the first bending moment caused by the vertical guidance of the pile leg on the platform body in the current working state.

[0125] The fourth acquisition module is used to acquire the second bending moment of the pile leg caused by the phase difference of the chord in the current working state.

[0126] The summation module is used to sum the first bending moment and the second bending moment to obtain the actual bending moment.

[0127] The forecasting module is used to compare the actual bending moment with the bending moment threshold, and the second load with the pile leg load threshold, in order to forecast the current operational capability of the platform body.

[0128] The forecasting device provided in this embodiment of the invention performs real-time monitoring of the safety of the pile legs and platform, and can generate forecasts on the system as follows: Figure 7The display effect is shown, that is, the vertical load of the pile leg, namely the second load, the first bending moment, the second bending moment, the RPD value and the UC value, etc. are displayed in real time. At the same time, the vertical load of each chord on the pile leg is also displayed in real time, as well as the difference between the chord load threshold and the vertical load of the chord, that is, the margin.

[0129] In one embodiment, the first acquisition module includes a first acquisition unit and a chord load threshold unit. The first acquisition unit is used to acquire the vertical load on each chord in each of the pile legs during the preloading process.

[0130] The chord load threshold unit is used to calculate the chord load threshold for each chord based on the vertical load on each chord.

[0131] In one embodiment, the third acquisition module includes a first calculation unit, which is used to calculate the first bending moment based on the vertical load on each of the chords and the distance between the chords.

[0132] In one embodiment, the first calculation unit includes a determining subunit and a corresponding subunit. The determining subunit is used to determine the vertical load bending moment caused by the chord load based on the vertical load on each chord and the distance between the chords. The corresponding subunit is used to calculate the first bending moment based on the vertical load bending moment and the correspondence between the vertical load bending moment and the first bending moment.

[0133] In one embodiment, the fourth acquisition module includes a measurement unit and a determination unit. The measurement unit is used to measure the phase difference of the chord members using a pile leg phase difference monitoring device. The determination unit is used to determine the second bending moment based on the chord member phase difference and the structural strength of the pile leg.

[0134] In one embodiment, the measurement unit includes a measurement subunit, an acquisition subunit, and a difference subunit. The measurement subunit is used to measure the distance between the top of each of the chord members and the top of the lifting mechanism using a rangefinder. The acquisition subunit is used to acquire the maximum and minimum values ​​of the distance between the top of the chord members and the top of the lifting mechanism. The difference subunit uses the difference between the maximum and minimum values ​​of the distance between the top of the chord members and the top of the lifting mechanism to obtain the chord phase difference.

[0135] In one embodiment, the prediction module includes a first difference unit, a second difference unit, and a third difference unit. The first difference unit is used to perform a difference based on the actual bending moment and a bending moment threshold. The second difference unit is used to perform a difference based on the second load and the pile leg load threshold. The third difference unit is used to perform a difference based on the current vertical load on the chord and the chord load threshold to predict the current operational capability of the platform body.

[0136] In one embodiment, the prediction device further includes an uc value module and an alarm module. The uc value module is used to calculate the uc value of the pile leg based on the second load of the pile leg and the actual bending moment. The alarm module is used to issue an alarm when the uc value is greater than 1.0.

[0137] This invention also provides an electronic device, including: a processor; and a memory, wherein computer program instructions are stored in the memory, wherein when the computer program instructions are executed by the processor, the processor performs a self-elevating platform operation capability prediction method provided in any of the above embodiments.

[0138] This invention also provides a computer-readable storage medium storing a computer program. When the computer program is run by a processor, the processor executes a self-elevating platform operation capability prediction method provided in any of the above embodiments.

[0139] The above description represents the preferred embodiments of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A method of jack-up platform operational capability prediction, wherein, The self-elevating platform includes: multiple truss-type legs and a platform body. The platform body is connected to each of the truss-type legs one-to-one via a lifting mechanism. Each truss-type leg includes multiple vertically arranged chords. The method is characterized by the following steps: Obtain the phase difference between the first load that each of the pile legs can withstand during the preloading process and the chord; Based on the first load of the pile leg and the phase difference between the chord, the pile leg load threshold and bending moment threshold are calculated. Obtain the second load on the pile leg under the current operating condition; Obtain the first bending moment caused by the vertical guidance of the pile leg to the main body of the platform under the current working state; Obtain the second bending moment of the pile leg caused by the phase difference of the chord in the current working state; The actual bending moment is obtained by summing the first bending moment and the second bending moment. The actual bending moment is compared with the bending moment threshold, and the second load is compared with the pile leg load threshold to predict the current operational capability of the platform body.

2. The prediction method according to claim 1, characterized in that, The step of obtaining the phase difference between the first load that each of the pile legs can withstand during the preloading process and the chord member also includes: Obtain the vertical load on each chord in each of the pile legs during the preloading process; Calculate the string load threshold for each string based on the vertical load on each string.

3. The prediction method of claim 2, wherein The step of obtaining the second load on the pile leg under the current operating state includes: Obtain the vertical load on each chord member in the pile leg; The second load is obtained by calculating the sum of the vertical loads on all the chords.

4. The prediction method according to claim 3, characterized in that, The step of obtaining the first bending moment caused by the vertical guidance of the pile leg on the platform body under the current operating state includes: The first bending moment is calculated based on the vertical load on each chord and the distance between the chords.

5. The prediction method of claim 4, wherein, The calculation of the first bending moment based on the vertical load on each chord and the distance between the chords includes: Determine the vertical load bending moment caused by the chord load based on the vertical load on each chord and the distance between the chords; The first bending moment is calculated based on the vertical load bending moment and the correspondence between the vertical load bending moment and the first bending moment.

6. The prediction method of claim 1, wherein The step of obtaining the second bending moment of the pile leg caused by the phase difference of the chord in the current working state includes: The phase difference of the chord is measured using a pile leg phase difference monitoring device; The second bending moment is determined based on the phase difference of the chord and the structural strength of the pile leg.

7. The prediction method of claim 6, wherein, The measurement of the chord phase difference using the pile leg phase difference monitoring device includes: The distance between the top of each of the string members and the top of the lifting mechanism is measured using a rangefinder; Obtain the maximum and minimum values ​​of the distance between the top of the string and the top of the lifting mechanism; The difference between the maximum and minimum distances between the top of the string and the top of the lifting mechanism is used to obtain the phase difference of the string.

8. The prediction method of claim 3, wherein The comparison of the actual bending moment with the bending moment threshold, and the comparison of the second load with the pile leg load threshold, to predict the current operational capability of the platform body, includes: The difference between the actual bending moment and the bending moment threshold is calculated. The difference between the second load and the pile leg load threshold is calculated. The operational capability of the platform body is predicted by calculating the difference between the current vertical load on the chord and the chord load threshold.

9. The prediction method of claim 1, wherein The method further includes: The uc value of the pile leg is calculated based on the second load on the pile leg and the actual bending moment. An alarm is issued when the uc value is greater than 1.

0.

10. A device for predicting the operational capacity of a jack-up platform, wherein, The self-elevating platform includes: multiple truss-type legs and a platform body. The platform body is connected to each of the truss-type legs one-to-one via a lifting mechanism. Each truss-type leg includes multiple vertically arranged chords. The device comprises: The first acquisition module is used to acquire the first load and the phase difference between the chord and the chord during the preloading process of each of the pile legs; The preload module is used to calculate the pile leg load threshold and bending moment threshold based on the first load of the pile leg and the phase difference between the chord and the chord. The second acquisition module is used to acquire the second load of the pile leg in the current working state; The third acquisition module is used to acquire the first bending moment caused by the vertical guidance of the pile leg to the main body of the platform in the current working state; The fourth acquisition module is used to acquire the second bending moment of the pile leg caused by the phase difference of the chord in the current working state; The summation module is used to sum the first bending moment and the second bending moment to obtain the actual bending moment; The forecasting module is used to compare the actual bending moment with the bending moment threshold, and the second load with the pile leg load threshold, in order to forecast the current operational capability of the platform body.

11. An electronic device, comprising: include: processor; and a memory, in which computer program instructions are stored. Wherein, when the computer program instructions are executed by the processor, the processor performs the forecasting method as described in any one of claims 1 to 9.

12. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, causes the processor to perform the forecasting method as described in any one of claims 1 to 9.

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