CN117574099B - Time-space correction deck upward wave time prediction method and system - Google Patents
Time-space correction deck upward wave time prediction method and system Download PDFInfo
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Abstract
The invention provides a time-space correction deck rising wave time prediction method and a time-space correction deck rising wave time prediction system, which belong to the field of data processing, record the moment of rising waves of a deck in the process of ship displacement, collect the data of the swaying and the swaying corresponding to the moment of rising waves of each deck and the data of positioning coordinates, predict the time of next slamming through time-space correction according to the time interval and the displacement distance between the moment of rising waves of each deck and the variation amplitude of swaying and swaying, facilitate the adaptive response of ships to emergency situations and promote the safety of ship sailing against the influence of the variable wind wave and ground kinetic energy impact.
Description
Technical Field
The invention belongs to the fields of data processing, intelligent navigation and automatic control, and particularly relates to a time-space correction deck wave rise time prediction method and a time-space correction deck wave rise time prediction system.
Background
The prediction of the ship's deck surf, i.e. the impact of the wave on the ship's deck, is critical to the improvement of the safety of offshore navigation. The prior art generally relies on marine meteorological data, vessel motion models, and historical data to predict the effects of waves. These methods attempt to predict the likelihood and moment of wave rise on deck by analyzing wave height, vessel speed, heading, etc. Due to the complexity and unpredictability of the marine environment, the prior art is often limited in accuracy in predicting the moment of the deck surf, especially in the face of sudden and extreme weather conditions. Existing systems may not be effective in accommodating rapidly changing marine environments, such as sudden storms or ocean current changes. Accurate predictions require real-time and high quality marine meteorological data, which may be difficult to obtain in certain sea areas, and time delays may exist in the data processing and analysis process. Existing predictive models may not perform consistently in different types of vessels, different airlines, or different sea areas, with limited generalization capability. High-precision predictive algorithms may require significant computational resources, which may be a limiting factor on a vessel. For example, in the patent document with publication number CN112498605B, a dam break type deck wave simulation test device is provided, and although synchronous coupling measurement of the internal flow field of the deck wave and slamming pressure can be satisfied under different experimental working conditions, in extreme or emergency situations, it is crucial that the current deck wave simulation test device can rapidly and accurately predict and respond, and the real-time response capability may be insufficient. While there has been some progress in deck heave time prediction, challenges remain, particularly in terms of improved prediction accuracy and real-time response capability, to better respond to the uncertainty and complexity of the marine environment.
Disclosure of Invention
The invention aims to provide a space-time correction deck wave time prediction method and a space-time correction deck wave time prediction system, which are used for solving one or more technical problems in the prior art and at least providing a beneficial selection or creation condition.
The invention provides a time-space correction deck rising wave time prediction method and a time-space correction deck rising wave time prediction system, which predict the occurrence time of next slamming through time-space correction by the time interval and displacement distance between the moments of rising waves of each deck and the variation amplitude of swaying and pitching, thereby improving the safety of ship sailing against the influence of variable wind, wave and kinetic energy impact.
To achieve the above object, according to an aspect of the present invention, there is provided a method of predicting a time of a time-space corrected deck rise, the method comprising the steps of:
recording the moment of the occurrence of the upper waves of the deck in the ship displacement process, and collecting the data of the swaying and the data of the positioning coordinates corresponding to the moment of the upper waves of each deck;
and predicting the wave time of the deck by space-time correction according to the time interval and the displacement distance between the wave moments of each deck and the variation amplitude of the swaying and the swaying.
Further, the occurrence of the waves on the deck is detected using a water sensor provided on the deck.
The water logging sensor comprises a contact water logging sensor and a non-contact water logging sensor, wherein the water logging sensor detects the condition that water on a deck is submerged, and generates an electric signal to indicate the occurrence of the upper wave of the deck, and records the occurrence of the upper wave of the deck as the moment of the upper wave of the deck.
Further, the data of the sway and the slosh are data representing the ship oscillation detected by the vibration monitoring system.
Marine vessel motion measurement methods may include, but are not limited to, non-contact motion speed measurements, GPS-based motion speed measurements, inertial navigation-based motion measurements, and the like.
Further, according to the time interval and displacement distance between the moments of the waves of each deck and the variation amplitude of the swaying and the swaying, the time of the waves of the deck is predicted through space-time correction, specifically:
obtaining the oscillation amplitude of the moment of the deck waves according to the corresponding cross-oscillation probability density and the corresponding heave probability density of each moment;
calculating the ratio of the smallest value in the displacement distances of all the moments of the upper waves of the deck to the value of the displacement distance of the moment of the upper waves of each deck as the bit length amplitude of the moment, taking the square root of the product obtained by multiplying the oscillation offset amplitude corresponding to the moment of the upper waves of each deck by the bit length amplitude of the moment as the oscillation length amplitude of the moment, and arranging the values of the oscillation length amplitudes of each moment according to the time sequence to obtain an array which is the oscillation length amplitude group of the current moment;
and predicting the deck wave time by using the vibration long-amplitude group at the current moment.
Further, the deck wave time is predicted by using the oscillation long-amplitude group at the current moment through time sequence analysis.
Further, calculating the time interval between the moment corresponding to the peak value of the oscillation long amplitude and the moment corresponding to the valley value of the oscillation long amplitude as the valley peak time interval, calculating the absolute value of the ratio value between the peak value of the oscillation long amplitude and the current value of the oscillation long amplitude as a first long amplitude ratio value, and calculating the absolute value of the ratio value between the valley value of the oscillation long amplitude and the current value of the oscillation long amplitude as a second long amplitude ratio value; taking the maximum value of the first long-amplitude ratio value and the second long-amplitude ratio value as an upper limit value and the minimum value as a lower limit value; and multiplying the valley peak time interval by the lower limit value to obtain the shortest rise time, multiplying the valley peak time interval by the upper limit value to obtain the longest rise time, wherein the moment of increasing the arrival of the shortest rise time from the moment corresponding to the last dimension in the oscillation long-width set is the shortest rise moment, the moment of increasing the arrival of the longest rise time from the moment corresponding to the last dimension in the oscillation long-width set is the longest rise moment, and the deck rise time is predicted to be between the shortest rise moment and the longest rise moment.
Then, an operator or an automation control system can make corresponding decisions according to the prediction result, adjust a work plan or take necessary safety measures to ensure the safe operation of the platform. Therefore, the technical scheme can obtain the occurrence time of the deck waves in advance through the space-time correction deck wave prediction method, is beneficial to platform management staff to make timely response and countermeasures, for example, the system sends instructions to control the ship to stop sailing or reduce the speed of sailing according to the prediction time so as to reduce the occurrence probability of slamming events, and the prediction of the occurrence time of the deck waves can help the ship and the ocean platform to carry out safe operation planning and adjustment, reduce the damage risk of equipment and structures and ensure the safety of the staff and the equipment. And the deck wave is predicted, so that equipment damage and maintenance cost caused by slamming events can be avoided or reduced, the service life of equipment is prolonged, and the maintenance cost is reduced. The space-time correction deck upper wave prediction method provides important support for the safe operation of the ocean platform through data acquisition and prediction output, and has practical application and economic benefits.
The invention also provides a space-time corrected deck swell-time prediction system, which comprises: a processor, a memory, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps in the method for space-time corrected deck wave time prediction for controlling navigation of a vessel by an automated control system, the system for space-time corrected deck wave time prediction can be executed in a computing device such as a desktop computer, a notebook computer, a cell phone, a palm top computer, and a cloud data center, and the executable system can include, but is not limited to, a processor, a memory, and a server cluster, the processor executing the computer program to be executed in units of:
the data acquisition unit is used for recording the moment of the occurrence of the upper waves of the deck in the ship displacement process and acquiring the data of the swaying and the positioning coordinates corresponding to the moment of the upper waves of each deck;
and the prediction calculation unit is used for predicting the time of the waves on the deck through space-time correction according to the time interval and the displacement distance between the moments of the waves on the deck and the variation amplitude of the swaying and the pitching.
The beneficial effects of the invention are as follows: the invention provides a time prediction method and a time prediction system for deck rising waves in a space-time correction, which are used for recording the time when the deck rising waves occur in the ship displacement process, collecting the data of the swaying and the swaying corresponding to the time of each deck rising wave and the data of positioning coordinates, and predicting the time of the next slamming through the time-space correction according to the time interval and the displacement distance between the time of each deck rising wave and the variation amplitude of the swaying and the swaying, thereby being convenient for the adaptability of ships to the emergency situation and improving the safety of the ship navigation to the influence of the variable wind wave and the ground kinetic energy impact.
Drawings
The above and other features of the present invention will become more apparent from the detailed description of the embodiments thereof given in conjunction with the accompanying drawings, in which like reference characters designate like or similar elements, and it is apparent that the drawings in the following description are merely some examples of the present invention, and other drawings may be obtained from these drawings without inventive effort to those of ordinary skill in the art, in which:
FIG. 1 is a flow chart of a method of predicting time to board swell in a space-time correction;
FIG. 2 is a system block diagram of a space-time corrected deck heave time prediction system.
Detailed Description
The conception, specific structure, and technical effects produced by the present invention will be clearly and completely described below with reference to the embodiments and the drawings to fully understand the objects, aspects, and effects of the present invention. It should be noted that, in the case of no conflict, the embodiments and features in the embodiments may be combined with each other.
In the description of the present invention, a number means one or more, a number means two or more, and greater than, less than, exceeding, etc. are understood to not include the present number, and above, below, within, etc. are understood to include the present number. The description of the first and second is for the purpose of distinguishing between technical features only and should not be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated or implicitly indicating the precedence of the technical features indicated.
Referring now to FIG. 1, a flow chart of a method for predicting time-to-empty corrected deck swell time in accordance with the present invention is shown, and a method and system for predicting time-to-empty corrected deck swell time in accordance with an embodiment of the present invention is described below in conjunction with FIG. 1.
The invention provides a space-time correction deck wave time prediction method, which specifically comprises the following steps:
recording the moment of the occurrence of the upper waves of the deck in the ship displacement process, and collecting the data of the swaying and the data of the positioning coordinates corresponding to the moment of the upper waves of each deck;
and predicting the wave time of the deck by space-time correction according to the time interval and the displacement distance between the wave moments of each deck and the variation amplitude of the swaying and the swaying.
Further, the occurrence of the waves on the deck is detected using a water sensor provided on the deck.
Further, the data of the sway and the slosh are data representing the ship oscillation detected by the vibration monitoring system.
Further, according to the time interval and displacement distance between the moments of the waves of each deck and the variation amplitude of the swaying and the swaying, the time of the waves of the deck is predicted through space-time correction, specifically:
obtaining the oscillation amplitude of the moment of the deck waves according to the corresponding cross-oscillation probability density and the corresponding heave probability density of each moment;
calculating the ratio of the smallest value in the displacement distances of all the moments of the upper waves of the deck to the value of the displacement distance of the moment of the upper waves of each deck as the bit length amplitude of the moment, taking the square root of the product obtained by multiplying the oscillation offset amplitude corresponding to the moment of the upper waves of each deck by the bit length amplitude of the moment as the oscillation length amplitude of the moment, and arranging the values of the oscillation length amplitudes of each moment according to the time sequence to obtain an array which is the oscillation length amplitude group of the current moment;
and predicting the deck wave time by using the vibration long-amplitude group at the current moment.
Further, the deck wave time is predicted by using the oscillation long-amplitude group at the current moment through time sequence analysis.
Further, calculating the time interval between the moment corresponding to the peak value of the oscillation long amplitude and the moment corresponding to the valley value of the oscillation long amplitude as the valley peak time interval, calculating the absolute value of the ratio value between the peak value of the oscillation long amplitude and the current value of the oscillation long amplitude as a first long amplitude ratio value, and calculating the absolute value of the ratio value between the valley value of the oscillation long amplitude and the current value of the oscillation long amplitude as a second long amplitude ratio value; taking the maximum value of the first long-amplitude ratio value and the second long-amplitude ratio value as an upper limit value and the minimum value as a lower limit value; and multiplying the valley peak time interval by the lower limit value to obtain the shortest rise time, multiplying the valley peak time interval by the upper limit value to obtain the longest rise time, wherein the moment of increasing the arrival of the shortest rise time from the moment corresponding to the last dimension in the oscillation long-width set is the shortest rise moment, the moment of increasing the arrival of the longest rise time from the moment corresponding to the last dimension in the oscillation long-width set is the longest rise moment, and the deck rise time is predicted to be between the shortest rise moment and the longest rise moment.
In some embodiments, before calculating the values, it is necessary to unify the measurement units of the heave and then perform dimensionless and normalization processing, and at the same time unify the measurement units of the time intervals and the displacement distances between the moments of a plurality of different deck waves and then perform dimensionless and normalization processing. Preferably, the time interval between the moments of the waves on each deck is calculated according to the moments of the waves on a plurality of different decks, and the displacement distance is calculated according to the data of the positioning coordinates of the moments of the waves on each deck.
The data of the swaying and swaying at the moment of the wave on each deck and the data of the positioning coordinates are arranged in time sequence. The probability density in the probability distribution of the value of the fluctuation at the moment of each deck surf at the moment of all the deck surfs is calculated as the fluctuation probability density at the moment, the probability density in the probability distribution of the value of the fluctuation at the moment of each deck surf at the moment of all the deck surfs at the moment is calculated as the fluctuation probability density at the moment, and the square value of the sum of the square values of the fluctuation probability densities corresponding to the moment and the square value of the fluctuation probability density corresponding to the moment is calculated as the fluctuation deflection amplitude of the moment of the deck surf. In this operation, the impact data characteristic of the waves on the deck can be better corrected in terms of time characteristics and space characteristics in terms of time and displacement distances of the sway and the heave.
In one embodiment provided, the probability distribution and probability density values for each numerical sequence may be calculated by the scikit-learn and numpy modules.
Because the displacement components of the heave and heave are close to the two right-angle sides of the right triangle, the numerical projection of the ship on the time-varying distribution caused by the action of the force of wave slamming can be better measured by adding the square value of the heave probability density corresponding to each moment and the square value of the heave probability density corresponding to each moment, and the square root can better enable the numerical projection of the ship deviation on the time-varying distribution to be represented in a numerical range which is easier to calculate. It should be noted that the oscillation amplitude is understood to be a value projection on a time-varying distribution of the ship's deflection as a result of slamming of the ocean wave, and any value which is indicative of the projection of the ship's deflection on the time-varying distribution falls within the scope of the oscillation amplitude of the present invention.
In the process of recording ship displacement, a moment for starting recording is arranged before the moment when the deck waves appear, the time interval from the moment for starting recording to the moment when the deck waves appear for the first time is taken as the time interval corresponding to the moment when the deck waves appear for the first time, and the displacement distance of the positioning coordinates from the moment for starting recording to the moment when the deck waves appear for the first time is taken as the displacement distance corresponding to the moment when the deck waves appear for the first time.
The method comprises the steps of respectively calculating the ratio of the smallest value in the displacement distances of all the moments of the upper waves of the deck to the value of the displacement distance of the moment of the upper waves of each deck to be used as a bit length amplitude of the moment, taking the square root of the product obtained by multiplying the oscillation offset amplitude corresponding to the moment of the upper waves of each deck by the bit length amplitude of the moment as the oscillation length amplitude of the moment, and arranging the values of the oscillation length amplitudes of each moment according to time sequence to obtain an array which is used as the oscillation length amplitude group of the current moment.
It is noted that the current moment here represents a moment after the moment of all existing waves on the deck, it being understood that the moment when the previously recorded waves on the deck are used to calculate a set of oscillating long amplitudes, but before the moment when the next new future waves on the deck have not yet occurred.
The displacement distance between the moments of the waves on each deck represents the slamming blocking degree of the sea wave received by the ship in the sailing process, the displacement degree of the ship which is allowed to be swayed and swayed is reflected by the kinetic energy of the sea wave acting on the ship body, the ratio of the minimum value in the displacement distances of the moments of the waves on all decks to the value of the displacement distance of the moment of the waves on each deck is calculated, the impact influence of the sea wave on the ship between time points is measured more accurately, and the time distribution of the current sea wave kinetic energy is captured more accurately in the vibration long-range group with the bit length of the moment multiplied by the vibration deviation in the current moment.
In some embodiments, the value of the probability density may be normalized between 0 and 1. In some embodiments, the time-lapse ship is advanced in the process of displacement, when the time when a new deck rise is added is recorded, the value corresponding to the time when each deck rise needs to be updated again, but in some embodiments, when the time when a plurality of new deck rises is added, the data of the time when the plurality of new deck rises is added to the values corresponding to the time when all the previous deck rises are recorded, and updating iteration is performed, and preferably, the time when the plurality of new deck rises is 3-5 times.
Next, predicting the deck wave time by using the vibration long-amplitude group at the current moment, specifically:
in some embodiments according to the prior art, it is possible to use time series analysis, such as a simple smoothing model, a brown linear trend model, etc., to input a vibration long-range set at the current moment as characteristic data, and predict the time of the waves on the deck, and although the analysis model algorithm can predict the time of the waves on the deck to a certain extent, if the prediction accuracy of the model is high, a large amount of accurate data needs to be prepared or collected first, and if the model is a marine navigation situation with more urgent data acquisition, it is not suitable.
For the offshore navigation situation where data acquisition is more urgent, in some embodiments, the peak value in the oscillating long-amplitude group is obtained as the oscillating long-amplitude peak value, and the valley value in the oscillating long-amplitude group is obtained as the oscillating long-amplitude valley value, except for the last dimension in the oscillating long-amplitude group. And recording the value of the last dimension in the oscillation long-amplitude group as the current value of the oscillation long-amplitude. And calculating the time interval between the moment corresponding to the oscillation long-amplitude peak value and the moment corresponding to the oscillation long-amplitude valley value as the valley-peak time interval, wherein the time interval can be understood as the absolute value between the two moments without positive and negative division. Calculating the absolute value of the ratio value between the peak value of the oscillation long amplitude and the current value of the oscillation long amplitude as a first long amplitude ratio value, calculating the absolute value of the ratio value between the valley value of the oscillation long amplitude and the current value of the oscillation long amplitude as a second long amplitude ratio value, and taking the maximum value of the first long amplitude ratio value and the second long amplitude ratio value as an upper limit value and the minimum value of the first long amplitude ratio value and the second long amplitude ratio value as a lower limit value. And multiplying the valley-peak time interval by the lower limit value to obtain the shortest upward wave time, and multiplying the valley-peak time interval by the upper limit value to obtain the longest upward wave time. Thus, the time when the shortest rise time arrives from the time corresponding to the last dimension in the oscillation long-width set is the shortest rise time, the time when the longest rise time arrives from the time corresponding to the last dimension in the oscillation long-width set is the longest rise time, and the deck rise time can be predicted to occur between the shortest rise time and the longest rise time. For example, if the shortest rise time is 13 minutes and the longest rise time is 15 minutes, the moment corresponding to the last dimension in the oscillating long-width set is 16:00, the time between the shortest upward wave time and the longest upward wave time is 16:13 to 16: between 15, the deck heave time can be predicted to occur at 16:13 to 16: 15. The method has the advantages that the numerical difference and the time interval between the peak value and the valley value of the oscillation long amplitude are measured, the time proportion relation between the current value of the oscillation long amplitude and the peak value and the valley value of the oscillation long amplitude is considered, and even if the data quantity is not very large, the deck rising time can be rapidly and accurately predicted in a smaller time range in a shorter time, so that the ship adaptability is convenient to cope with emergency, and the influence of ship navigation on the impact of the variable wind wave and the ground kinetic energy is promoted.
On the premise that a plurality of peak values exist in the oscillation long-width set, in one embodiment, in order to cope with the situation that variance fluctuation of each dimension value in the oscillation long-width set is large, an arithmetic average value of each peak value is selected as the oscillation long-width peak value, and in another embodiment, if variance fluctuation of each dimension value in the oscillation long-width set is small, a maximum value of each peak value is selected as the oscillation long-width peak value. On the premise that a plurality of valleys exist in the oscillation long-width set, in one embodiment, in order to cope with the situation that variance fluctuation of each dimension value in the oscillation long-width set is large, an arithmetic average value of each valley is selected as the oscillation long-width valley, and in another embodiment, if variance fluctuation of each dimension value in the oscillation long-width set is small, a maximum value of each valley is selected as the oscillation long-width valley.
The space-time corrected deck wave time prediction system is operated in any computing device of a desktop computer, a notebook computer, a mobile phone, a palm computer or a cloud data center, and the computing device comprises: the system comprises a processor, a memory and a computer program stored in the memory and running on the processor, wherein the space-time corrected deck wave time prediction system also comprises a water sensor, a vibration monitoring system, a flutter real-time monitoring system, a data communication device comprising a wireless sensor network connected with the devices and the like, and the processor executes the computer program to realize the steps in the space-time corrected deck wave time prediction method, and the operable system can comprise, but is not limited to, the processor, the memory and a server cluster.
The embodiment of the invention provides a space-time corrected deck wave time prediction system, as shown in fig. 2, which comprises: a processor, a memory, and a computer program stored in the memory and executable on the processor, the processor implementing the steps in one of the above-described embodiments of a spatio-temporal corrected deck wave time prediction method when the computer program is executed, the processor executing the computer program to run in the units of the system:
the data acquisition unit is used for recording the moment of the occurrence of the upper waves of the deck in the ship displacement process and acquiring the data of the swaying and the positioning coordinates corresponding to the moment of the upper waves of each deck;
and the prediction calculation unit is used for predicting the time of next slamming through space-time correction according to the time interval and displacement distance between the moments of each deck surf and the variation amplitude of the sway and the surge.
Preferably, all undefined variables in the present invention may be threshold set manually if not explicitly defined.
Wherein, the non-dimensionalized numerical calculation is adopted among the physical quantities of different units.
The deck wave time prediction system with space-time correction can be operated in computing equipment such as desktop computers, notebook computers, mobile phones, palm computers and cloud data centers. The space-time corrected deck wave time prediction system comprises, but is not limited to, a processor and a memory. It will be appreciated by those skilled in the art that the examples are merely examples of a spatio-temporal corrected deck wave time prediction method and system, and are not limiting of a spatio-temporal corrected deck wave time prediction method and system, and may include more or fewer components than examples, or may combine certain components, or different components, e.g., the spatio-temporal corrected deck wave time prediction system may also include input and output devices, network access devices, buses, etc.
The processor may be a central processing unit (Central Processing Unit, CPU), other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete component gate or transistor logic devices, discrete hardware components, or the like. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like, which is a control center of the space-time corrected deck wave time prediction system, and various interfaces and lines are used to connect the various sub-areas of the entire space-time corrected deck wave time prediction system.
The memory may be used to store the computer program and/or module, and the processor may implement the various functions of the space-time corrected deck wave time prediction method and system by running or executing the computer program and/or module stored in the memory and invoking data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program (such as a sound playing function, an image playing function, etc.) required for at least one function, and the like; the storage data area may store data (such as audio data, phonebook, etc.) created according to the use of the handset, etc. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as a hard disk, memory, plug-in hard disk, smart Media Card (SMC), secure Digital (SD) Card, flash Card (Flash Card), at least one disk storage device, flash memory device, or other volatile solid-state storage device.
The invention provides a time prediction method and a time prediction system for deck rising waves in a space-time correction, which are used for recording the time when the deck rising waves occur in the ship displacement process, collecting the data of the swaying and the swaying corresponding to the time of each deck rising wave and the data of positioning coordinates, and predicting the time of the next slamming through the time-space correction according to the time interval and the displacement distance between the time of each deck rising wave and the variation amplitude of the swaying and the swaying, thereby being convenient for the adaptability of ships to the emergency situation and improving the safety of the ship navigation to the influence of the variable wind wave and the ground kinetic energy impact.
Although the present invention has been described in considerable detail and with particularity with respect to several described embodiments, it is not intended to be limited to any such detail or embodiment or any particular embodiment so as to effectively cover the intended scope of the invention. Furthermore, the foregoing description of the invention has been presented in its embodiments contemplated by the inventors for the purpose of providing a useful description, and for the purposes of providing a non-essential modification of the invention that may not be presently contemplated, may represent an equivalent modification of the invention.
Claims (5)
1. A method of predicting time to rise on a deck for space-time correction, the method comprising the steps of: recording the moment of the occurrence of the waves on the deck in the ship displacement process, collecting the data of the swaying and the positioning coordinate corresponding to the moment of the waves on each deck, and predicting the time of the waves on the deck through space-time correction according to the time interval and the displacement distance between the moment of the waves on each deck and the variation amplitude of the swaying and the swaying, wherein the time is specifically as follows:
obtaining the oscillation amplitude of the moment of the deck waves according to the corresponding cross-oscillation probability density and the corresponding heave probability density of each moment;
calculating the ratio of the smallest value in the displacement distances of all the moments of the upper waves of the deck to the value of the displacement distance of the moment of the upper waves of each deck as the bit length amplitude of the moment, taking the square root of the product obtained by multiplying the oscillation offset amplitude corresponding to the moment of the upper waves of each deck by the bit length amplitude of the moment as the oscillation length amplitude of the moment, and arranging the values of the oscillation length amplitudes of each moment according to the time sequence to obtain an array which is the oscillation length amplitude group of the current moment;
predicting the deck wave time by using the vibration long-amplitude group at the current moment;
calculating the time interval between the moment corresponding to the peak value of the oscillation long amplitude and the moment corresponding to the valley value of the oscillation long amplitude as the valley peak time interval, calculating the absolute value of the ratio value between the peak value of the oscillation long amplitude and the current value of the oscillation long amplitude as a first long amplitude ratio value, and calculating the absolute value of the ratio value between the valley value of the oscillation long amplitude and the current value of the oscillation long amplitude as a second long amplitude ratio value; taking the maximum value of the first long-amplitude ratio value and the second long-amplitude ratio value as an upper limit value and the minimum value as a lower limit value; and multiplying the valley peak time interval by the lower limit value to obtain the shortest rise time, multiplying the valley peak time interval by the upper limit value to obtain the longest rise time, wherein the moment of increasing the arrival of the shortest rise time from the moment corresponding to the last dimension in the oscillation long-width set is the shortest rise moment, the moment of increasing the arrival of the longest rise time from the moment corresponding to the last dimension in the oscillation long-width set is the longest rise moment, and the deck rise time is predicted to be between the shortest rise moment and the longest rise moment.
2. A time-space corrected deck swell-time predicting method in accordance with claim 1, wherein the occurrence of the swell of the deck is detected using a water sensor provided on the deck.
3. The method of claim 1, wherein the data of heave and heave are data representing vessel oscillations detected by a vibration monitoring system.
4. The method for predicting the time-to-rise time of a deck by time-space correction according to claim 1, wherein the time-to-rise time of the deck is predicted by time series analysis using a vibration long-amplitude group at the current time.
5. A space-time corrected deck surf time prediction system, wherein the space-time corrected deck surf time prediction system operates in any one of a desktop computer, a notebook computer, or a cloud data center computing device, the computing device comprising: a processor, a memory and a computer program stored in the memory and running on the processor, which processor, when executing the computer program, implements the steps of a spatio-temporal corrected deck heave time prediction method according to any of claims 1 to 4.
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| CN116310221A (en) * | 2023-03-22 | 2023-06-23 | 集美大学 | Ship swaying and visual wave motion matching method, terminal equipment and medium |
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| CN116310221A (en) * | 2023-03-22 | 2023-06-23 | 集美大学 | Ship swaying and visual wave motion matching method, terminal equipment and medium |
| CN116449462A (en) * | 2023-06-19 | 2023-07-18 | 山东省计算中心（国家超级计算济南中心） | Method for predicting effective wave height space-time sequence of sea wave System, storage medium, and apparatus |
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