CN-121661815-B - Ship and large equipment anti-station early warning method, system, terminal and storage medium for starting and regular matching scanning based on plan

CN121661815BCN 121661815 BCN121661815 BCN 121661815BCN-121661815-B

Abstract

The invention discloses a shipyard ship and large-scale equipment anti-station early warning method, a system, a terminal and a storage medium based on plan starting and rule matching scanning, which comprise the following steps: the multi-source key parameters are collected through a shipyard multi-dimensional anti-stage early warning management platform, after effective data are screened through regular matching scanning, a plan grading triggering deduction model, a wind load nonlinear calculation model and a ship mooring stress analysis algorithm are sequentially called, early warning threshold generation, wind load operation and mooring stress analysis are completed, the models cooperate with each other to link excavation parameter coupling relations, the method realizes the accuracy and the high efficiency of the platform prevention early warning, provides full-process technical support for ships and large equipment prevention platforms in shipyards, and improves the early warning operability and the risk management and control capability.

Inventors

WU KAI
WANG LONGTAO
LONG ZHE
XUE MIN
PAN TING
ZOU YONG
Gao Huorong
YU JIANXUN
LING CHENG
SUI GUOQIANG
ZHANG XIANPU
ZHANG JIAN
WANG BIN

Assignees

上海中远海运重工有限公司

Dates

Publication Date: 20260505
Application Date: 20260205

Claims (10)

1. A shipyard ship and large equipment anti-dock early warning method based on preset starting and regular matching scanning is characterized by comprising the following steps of S1, collecting real-time meteorological parameters, ship berthing position parameters, large equipment fixed structure parameters and historical anti-dock emergency data of a sea area where a shipyard is located through a shipyard multi-dimensional anti-dock early warning management platform, establishing a multi-source parameter collection library, S2, conducting regular matching scanning on the multi-source parameters in the collection library based on a preset anti-dock rule library, screening calibration parameters related to anti-dock early warning, eliminating invalid interference data, S3, calling a preset grading triggering deduction model, constructing a grading triggering index system by combining the screened calibration parameters, generating a preset triggering threshold interval through multi-dimensional parameter weighting operation, S4, starting a wind load nonlinear calculation model, inputting ship draft, equipment windward area, structural rigidity parameters and real-time wind speed wind direction parameters, completing nonlinear operation of ship and large equipment windward load, S5, utilizing a ship mooring rope strength parameter, ship water area water drainage parameter, mooring capacity parameter, calculating and mooring state, S6, and generating a ship mooring state corresponding to a ship anti-dock early warning result through the step operation of the multi-dimensional parameter grading triggering threshold value, and S4, and analyzing a grading early warning result and a grading early warning result.
2. The method for preventing the platform from being warned for shipyards, ships and large equipment based on the scheme starting and rule matching scanning according to claim 1, wherein the expression of the scheme grading triggering deduction model is as follows: , wherein, For the predetermined case to be a hierarchical trigger factor, As the weighting factor of the meteorological parameter, Is the first The actual measurement value of the quasi-calibration parameter, Is the first The class calibration parameters influence the weight of the model, The coefficients are modified for the historical data and, Is the sensitivity coefficient of the parameters of the ship, For the parameters of the berthing dispersity of the ship, Is a safety factor of a large-scale equipment structure, As the water depth parameter of the sea area, For the emergency response correction factor to be applied, Enabling frequency for a historical anti-stage plan; The expression of the wind load nonlinear calculation model is as follows: , wherein, Is a comprehensive value of wind load applied to ships and large-scale equipment, Is a model coefficient of the wind load, As a projected area parameter facing the wind, For the real-time wind speed parameter, For the wind direction correction factor, Is the parameter of the included angle between the wind direction and the axis of the equipment, Is the damping coefficient of the structure, and the damping coefficient of the structure, Is a bending stiffness parameter of the equipment structure, For the wind-facing altitude parameter of the equipment, Is the amplitude parameter of the wind speed pulsation.
3. The method for pre-warning of the prevention of the platform of the shipyard ship and the large equipment based on the scheme starting and the rule matching scanning according to claim 1, wherein the expression of the ship mooring stress analysis algorithm is as follows: , wherein, For the value of the total stress of the mooring system, In order to provide a coefficient of elasticity to the cable, As a parameter of the initial tension of the cable, Is the included angle parameter between the cable and the horizontal direction, Is the coefficient of resistance of the water flow, Is a water area flow rate parameter, Is the coefficient of inertia of the ship and is, Is a water displacement parameter of the ship, For the parameters of the water depth of the berthing water area, Is a parameter of the ship length of the ship, For the mooring angle correction factor, The yaw angle variation parameter of the ship is set; The parameter fusion model expression of the shipyard multidimensional platform prevention early warning management platform is as follows: , wherein, For the result of the multi-source parameter fusion, The weight coefficients are output for each module, For the platform data transfer delay parameter, For the parameter acquisition precision parameter, the method comprises the steps of, Is that The real-time data update rate parameter of the moment in time, And (5) collecting time parameters for data.
4. The method for preventing the platform from being warned by the shipyard and the large equipment based on the scheme enabling and rule matching scanning according to claim 1, wherein the comprehensive evaluation model expression of the platform from the shipyard and the large equipment is as follows: , wherein, In order to provide comprehensive evaluation value for the platform prevention early warning, In order to comprehensively evaluate the weight coefficient, In order to pre-warn the level-modifying factor, For the safety redundancy factor of the device, Is the first The structural safety reserve parameters of the class device, For the parameters of the stability of the berthing of the vessel, As a parameter of the complexity of the sea environment, For the number of device types involved in the evaluation.
5. The shipyard ship and large equipment anti-station early warning method based on the plan starting and rule matching scanning of claim 1 is characterized in that S3 comprises the following steps of S31, based on structural characteristics, berthing states and sea area environment differences of the shipyard ship and large equipment, extracting weather strength parameters, equipment wind resistance grade parameters, ship mooring reliability parameters and historical emergency response validity parameters from multi-source acquisition parameters, constructing a graded triggering basic index set, S32, conducting importance ranking on all parameters in the basic index set through a hierarchical analysis method, determining weight distribution values of all indexes through combination of expert scores, forming a weighted index system, S33, substituting all parameters in the weighted index system into a plan graded triggering deduction model, generating triggering threshold intervals corresponding to different early warning grades through multi-dimensional parameter coupling operation, and defining starting conditions of all levels of the plans, wherein corresponding plan grades are preliminarily determined according to matching results of real-time acquisition parameters and the threshold intervals, and providing grading basis for early warning signal generation.
6. A shipyard ship and large equipment anti-stage early warning method based on a plan starting and rule matching scanning is characterized in that S4 comprises the following steps of S41, taking ship draft, ship cross-sectional area, large equipment windward side shape parameters and structural material elastic modulus parameters from a shipyard multi-dimensional anti-stage early warning management platform as basic input parameters of wind load calculation, S42, carrying out time series analysis on real-time wind speed and wind direction parameters, extracting wind speed peak value, average wind speed and wind direction change rate calibration characteristic parameters, eliminating the influence of transient wind speed fluctuation on a calculation result, S43, substituting the basic input parameters and wind speed and wind direction characteristic parameters into a wind load nonlinear calculation model, solving wind load distribution values of calibration stressed parts of the ship and the large equipment through iterative operation, S44, carrying out space mapping treatment on the calculated wind load distribution values, converting the wind load distribution values into a data format which is matched with equipment structure stress analysis, and providing data support for structural safety assessment.
7. The method for preventing the platform from being carried out by a shipyard ship and large equipment based on plan starting and rule matching scanning is characterized in that S5 comprises the following steps of S51, collecting material tensile strength, diameter and length parameters of mooring ropes and mooring point arrangement position parameters, establishing a basic parameter library of a mooring system, S52, obtaining real-time flow speed, flow direction parameters and water displacement, draft and gravity center height parameters of a moored water area, constructing a mooring stress analysis environment and ship parameter system, S53, substituting data in the basic parameter library and the parameter system into a ship mooring stress analysis algorithm, calculating tension distribution of the mooring ropes, displacement and yaw angle of the ship, S54, carrying out validity check on calculation results, eliminating abnormal data exceeding a physical constraint range, and guaranteeing rationality of the mooring stress analysis results.
8. A shipyard ship and large equipment anti-skid early warning system based on pre-plan starting and rule matching scanning is characterized by being applied to the shipyard ship and large equipment anti-skid early warning method based on pre-plan starting and rule matching scanning, and comprises a multi-source parameter intelligent acquisition and screening unit, a ship mooring force analysis unit, a mooring system parameter, a ship parameter and a ship environment parameter, wherein the multi-source parameter intelligent acquisition and screening unit is used for acquiring shipyard sea area meteorological parameters, ship state parameters, large equipment structural parameters and historical anti-skid data through various sensors and data interfaces and screening calibration parameters based on preset rules, the pre-plan grading triggering deduction operation unit is connected with the multi-source parameter intelligent acquisition and screening unit, the pre-plan grading triggering deduction model is called, a pre-plan triggering threshold interval is generated in combination with the screened calibration parameters, the wind load nonlinear calculation unit is connected with the multi-source parameter intelligent acquisition and screening unit, the ship and equipment structural parameters and the meteorological parameters are received, wind load operation is completed through the wind load nonlinear calculation model, the ship mooring system parameter intelligent acquisition and screening unit is connected with the multi-source parameter intelligent acquisition and the water area unit, the mooring system parameter, the ship parameter and the ship environment parameter are integrated with the mooring system parameter, the mooring system parameter and the ship pre-warning algorithm is interacted with the mooring system calculation algorithm, the mooring system calculation unit is used for generating a mooring system, the emergency system is interactively and the emergency system is used for acquiring and storing and sensing the pre-stress signals, and analyzing the data are correspondingly and interactively and correspondingly used for respectively, and storing and correspondingly acquiring the results and correspondingly. And supporting real-time transmission and sharing of early warning information.
9. A terminal device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the computer program, implements a method for forewarning of a shipyard and a large device based on a plan-enabled and rule-matched scan as claimed in any one of claims 1 to 7.
10. A computer readable storage medium storing a computer program, wherein the computer program when executed by a processor implements a method for preventing a station from a shipyard and a large-scale device based on a plan-enabled and rule-matched scan as claimed in any one of claims 1 to 7.

Description

Ship and large equipment anti-station early warning method, system, terminal and storage medium for starting and regular matching scanning based on plan Technical Field The invention relates to the technical field of ship and large-scale equipment anti-station early warning, in particular to a method, a system, a terminal and a storage medium for pre-plan-based ship and large-scale equipment anti-station early warning in a shipyard. Background The shipyard is used as a core site for ship construction and berthing, the sea area where the shipyard is often subjected to strong convection weather attack such as typhoon, and the safety risks such as mooring failure, structural damage and the like are easy to occur under the action of strong wind load due to huge volume, fixed berthing state and complex structure of ships and large-scale equipment, so that personnel safety and property benefits are directly threatened. The traditional platform prevention early warning relies on single parameter monitoring and artificial experience judgment, is difficult to integrate multidimensional data such as weather, ship states, equipment structures, water area environments and the like, and along with the increase of the tonnage of a ship and the improvement of the automation degree of large-scale equipment, the precision, the instantaneity and the grading response capability of the platform prevention early warning are more required. It is highly desirable to construct a set of integrated schemes for fusion of multi-source parameter acquisition, professional model operation and intelligent early warning management, so as to realize the whole-flow technical support from parameter acquisition to early warning output and meet the requirements of shipyard fine anti-station emergency management. The prior art has two key defects that firstly, the precision of parameter fusion and rule matching is insufficient, single-dimensional data monitoring or simple linear operation is adopted, the characteristic of a ship mooring system, the coupling relation between the structural parameters of large equipment and the dynamic change of sea weather are not fully combined, the early warning threshold value setting is lack of scientificity and is difficult to accurately reflect the actual typhoon risk prevention level, and secondly, the synergy of model operation and early warning response is lack, a closed-loop linkage mechanism for scheme grading triggering, wind load calculation, mooring stress analysis and early warning generation is not established, a unified multidimensional typhoon prevention early warning management platform is not formed, data of each link is cracked, the operation result cannot be integrated rapidly, and the targeted emergency operation guide is output, so that the timeliness and the operability of typhoon prevention early warning are affected. Disclosure of Invention In order to overcome the defects and shortcomings in the prior art, the invention provides a shipyard ship and large-scale equipment anti-station early warning method, system, terminal and storage medium based on plan starting and rule matching scanning. The technical scheme includes that the shipyard ship and large equipment anti-stage early warning method based on the preset anti-stage rule base is used for enabling and regularly matching scanning, the method comprises the following steps of S1, collecting real-time meteorological parameters, ship berthing position parameters, large equipment fixed structure parameters and historical anti-stage emergency data of a sea area where a shipyard is located through a shipyard multi-dimensional anti-stage early warning management platform, establishing a multi-source parameter collection base, S2, conducting regular matching scanning on the multi-source parameters in the collection base based on the preset anti-stage rule base, screening calibration parameters related to anti-stage early warning, eliminating invalid interference data, S3, calling a preset stage triggering deduction model, constructing a stage triggering index system through multi-dimensional parameter weighting operation, generating a preset triggering threshold interval, S4, enabling a wind load non-linear calculation model, inputting ship draught depth, equipment wind area, structural rigidity parameters and real-time wind speed wind direction parameters, completing non-linear operation of wind loads borne by the ship and large equipment, S5, utilizing mooring rope strength parameters, mooring water displacement parameters, mooring the system, S6, and a ship loading stage early warning result corresponding to the S4, and a stage early warning result corresponding to the stage early warning result is calculated and a stage early warning result is generated through the S4. Further, the expression of the plan grading triggering deduction model is as follows: , wherein, For the predetermined case to be a hierarchical trigger factor,As the we