Ship lift ship chamber online monitoring method and monitoring system

By real-time monitoring and evaluation of the structural capacity and operational attitude of the ship lift's cargo box, and by using an expert system for fault diagnosis, the problem of real-time detection in existing technologies has been solved, thus enabling safe monitoring and maintenance of ultra-large ship lifts.

CN115235542BActive Publication Date: 2026-06-23HANGZHOU GUODIAN MASCH DESIGN RES INST CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
HANGZHOU GUODIAN MASCH DESIGN RES INST CO LTD
Filing Date
2022-07-14
Publication Date
2026-06-23

AI Technical Summary

Technical Problem

Existing technologies cannot perform real-time online monitoring and health assessment of the ship-carrying chamber of a ship lift, and cannot provide reliable safety monitoring, especially for monitoring safety indicators such as structural deformation and stress of ultra-large ship lifts.

Method used

The structural capacity monitoring module and the operational attitude monitoring module are used to monitor the parameters of the ship lift in real time. Through data acquisition, status assessment and fault analysis, an expert system is used to conduct health assessment and fault diagnosis, issue early warning or alarm signals, and make equipment maintenance decisions.

Benefits of technology

It enables real-time health monitoring and fault diagnosis of the ship lift's carrying chamber, ensuring equipment safety, reducing the risk of misjudgment and delayed maintenance, and improving the reliability and safety of equipment operation.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

The application discloses a ship lift bearing ship chamber on-line monitoring method and monitoring system, including the following contents: data monitoring, data acquisition, state evaluation and fault analysis; the health state of the equipment of the ship lift is evaluated according to the collected data; if the evaluation result is abnormal, a prewarning or alarm signal is sent according to the abnormal degree; when the alarm is monitored, the collected data is compared with the data in the data storage module, the alarm information is diagnosed and analyzed to generate the equipment fault maintenance decision; the application monitors the structure capacity and operation posture of the bearing ship chamber, and realizes real-time control of the structure performance index and equipment operation state of the bearing ship chamber, so that the bearing ship chamber is monitored; when the health state of the bearing ship chamber is in an abnormal state, the bearing ship chamber is adjusted and maintained in time; when the alarm signal is received, the monitoring data is compared with the data in the data storage module, the fault diagnosis is quickly obtained, and the maintenance decision is given.
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Description

Technical Field

[0001] This invention relates to the field of ship lifts, and more specifically to an online monitoring method and system for the ship lift's cargo compartment. Background Technology

[0002] Ship lifts are a type of inland waterway navigation structure and an effective way to ensure efficient navigation at large hydropower stations. In recent years, my country's ship lift industry has developed rapidly, with the construction of a large number of ultra-large vertical ship lifts, including the Three Gorges Ship Lift, the Goupitan Three-Stage Ship Lift, the Silin Ship Lift, and the Shatuo Ship Lift. However, due to a late start, related technologies and experience are still relatively underdeveloped. Traditional methods such as periodic inspections and manual testing are no longer sufficient for accurate and effective equipment safety checks. With the development of information technology, how to achieve real-time online monitoring, health assessment, and fault diagnosis is a problem that urgently needs to be solved in the future informatization development of ship lifts.

[0003] Ship lifts, whose cargo holds carry water and ships of a certain depth, are crucial equipment. Suspended by multiple steel cables from drums and pulleys, the cargo holds are raised and lowered via a drive mechanism to allow ships to pass under dams. The planned 1000-ton ship lifts in Guangxi's Baise, Silin, and Shatuo hydropower stations, among other ultra-large 1000-ton-class ship lifts, all have cargo holds exceeding 100 meters in length and carrying nearly 10,000 tons of water. The deformation, stress, and deflection of the cargo hold structure during operation directly impact personal safety, ship safety, and equipment safety. However, current domestic and international ship lift control systems only collect partial equipment operation information for overall operation control, failing to conduct real-time monitoring, health assessment, or fault diagnosis of key cargo hold equipment and structural capabilities, thus lacking reliable real-time safety monitoring.

[0004] Based on the above, this invention proposes an online monitoring method and system for the ship lift's ship-carrying chamber, which can effectively solve the above problems. Summary of the Invention

[0005] The purpose of this invention is to provide an online monitoring method and system for the ship lift's ship-carrying compartment.

[0006] This invention is achieved through the following technical solution:

[0007] A method for online monitoring of the ship lift's cargo compartment includes the following:

[0008] Data monitoring: The parameters of the ship lift are monitored through the structural capacity monitoring module and the operational attitude monitoring module;

[0009] Data acquisition: Collect monitoring data from the structural capacity monitoring module and the operational attitude monitoring module, and store the data in the database;

[0010] Status assessment: The health status of the ship lift structure and equipment is assessed based on the collected data; if the data does not exceed the parameter indicators set by the module, the structure or equipment is in a healthy state, and the assessment results and corresponding data are stored in the database as historical data; if the data exceeds the parameter indicators set by the module, the structure or equipment is in an unhealthy state, and a warning or alarm signal is issued according to the degree of abnormality.

[0011] Fault Analysis: When a warning or alarm signal is received, the system compares the collected data, health assessment results, and data in the expert system module to perform fault diagnosis and analysis on the alarm information and generate equipment fault repair decisions.

[0012] Preferably, the structural capacity monitoring module mainly monitors the stress of the lifting lug plate, the stress of the main crossbeam, the stress of the main longitudinal beam, the stress of key parts of the docking locking mechanism, the stress of key parts of the locking beam, the stress at the tightening mechanism, the stress of key parts of the reclining door hinge support, the deflection deformation of the main crossbeam of the ship-bearing box, and the deflection deformation of the main longitudinal beam of the ship-bearing box.

[0013] Preferably, the operating posture monitoring module mainly monitors the water level inside the cabin, the cabin position, the cabin level, the tension of the wire rope, the displacement and pressure of the left and right hydraulic cylinders of the reclining door, the displacement and pressure of the left and right hydraulic cylinders of the anti-collision beam, the displacement and pressure of the hydraulic cylinders of the docking locking mechanism, the displacement and pressure of the hydraulic cylinders of the clamping mechanism, and the displacement and pressure of the hydraulic cylinders of the sealing frame.

[0014] Preferably, in the status assessment, the collected and verified equipment information is evaluated based on the health status indicators in the expert system. If the assessment result exceeds the health warning indicator but does not exceed the fault alarm indicator, the system will issue a warning signal and make a decision on the daily maintenance of the equipment.

[0015] Preferably, the single-structure single-parameter index assessment method is used to assess the structural metal capacity health status in the condition assessment; by using the design parameter index of the ship hull and the historical operation data over a certain period of time, the standard time function of various parameter indexes and the limit value of the parameter index during normal operation are obtained, and a health index analysis model of the parameter index is established, as shown in equation (1):

[0016] (1)

[0017] Where i represents a parameter of the ship's hull, such as stress, strain, deflection, or displacement; P i Let λ be the health index of the i-parameter indicator; f(t) be the actual running time function of the i-parameter indicator; and F(t) be the standard time function of the i-parameter indicator. min and λ max The minimum and maximum limit values ​​are specified for the i-parameter index.

[0018] Preferably, the single-equipment multi-parameter index evaluation method is used to assess the health status of the equipment's operating attitude in the condition assessment; firstly, based on the single-equipment single-parameter index evaluation method, a health index P of the single parameter index of each piece of equipment on the ship carrier is established. i The influence weights of various parameters in a single device are clearly defined, and then the comprehensive weighted method is used to evaluate the health status of multiple parameters of a single device, as shown in equation (2):

[0019] (2)

[0020] Where j represents key components or equipment of the ship's hull, such as lifting lugs, main crossbeams, main longitudinal beams, and docking locking mechanisms; W j Let j be the health index of device j based on multiple parameters; n be the total number of i-parameter parameters included in device j; k be the health index of device j based on multiple parameters. i The weights of parameter i, 0≤k i ≤1, and

[0021] .

[0022] Preferably, during condition assessment and fault analysis, parameters and results are sent to the database for storage, and a data model is established in the database.

[0023] An online monitoring system for the ship lift's cargo compartment, including

[0024] Structural capacity monitoring module: used to monitor the stress and deflection deformation of the ship lift's ship-bearing chamber in real time;

[0025] Operating posture monitoring module: used to collect real-time operating status information of the ship lift's ship-carrying chamber;

[0026] Data processing module: collects monitoring data from the structural capability monitoring module and the operational attitude monitoring module, verifies the monitoring data, and removes unreasonable data;

[0027] The expert system includes a knowledge base and a database. The database is used to collect and store data verified by the data processing module. The knowledge base contains national standards, industry standards, ship lift design documents, and past failure case data.

[0028] Equipment health assessment module: Obtains data from the data processing module and compares and analyzes it with data from the expert system to assess the health status of the ship lift's carrying chamber; if the health warning indicators exceed the health warning indicators but do not exceed the fault alarm indicators, a warning signal will be given and a routine equipment maintenance decision will be made; if the fault alarm indicators exceed the fault alarm indicators, an alarm signal will be given.

[0029] Fault Diagnosis and Analysis Module: Upon receiving an alarm signal, it obtains real-time monitoring data and compares and analyzes it with the data in the data storage module to assess the fault of the ship lift's ship-carrying chamber and make equipment fault repair decisions.

[0030] Preferably, the structural capacity monitoring module is connected to several deflection monitoring sensors arranged on the main longitudinal beams and main transverse beams of the ship-bearing box.

[0031] Preferably, the operating posture monitoring module is connected to several water level gauges, displacement sensors, tension sensors, and pressure gauges arranged on the ship-bearing structure.

[0032] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0033] The online monitoring method and system for the ship lift's ship-carrying chamber of this invention monitors the structural capacity and operational attitude of the ship-carrying chamber, thereby gaining real-time insight into its structural performance indicators and operational status. The monitoring data is used to evaluate and analyze the health status of the ship-carrying chamber, achieving the purpose of monitoring it. When an abnormal health status is detected, a warning or alarm signal is issued, and corresponding decisions are made to promptly adjust and maintain the ship-carrying chamber. Upon receiving an alarm signal, the monitoring data is compared with data in the data storage module to quickly diagnose the fault and provide maintenance decisions. Attached Figure Description

[0034] Figure 1 This is a schematic diagram of the structure of the present invention. Detailed Implementation

[0035] To enable those skilled in the art to better understand the technical solutions of the present invention, preferred embodiments of the present invention are described below in conjunction with specific examples. However, it should be understood that the accompanying drawings are for illustrative purposes only and should not be construed as limiting the present patent. For better illustration of this embodiment, some components in the drawings may be omitted, enlarged, or reduced, and do not represent the actual dimensions of the product. It is understandable that some well-known structures and their descriptions may be omitted in the drawings for those skilled in the art. The positional relationships described in the drawings are for illustrative purposes only and should not be construed as limiting the present patent.

[0036] Example 1:

[0037] This invention provides an online monitoring method for the ship lift's ship-carrying chamber, comprising the following:

[0038] Data monitoring: The parameters of the ship lift are monitored through the structural capacity monitoring module and the operational attitude monitoring module;

[0039] Data acquisition: Collect monitoring data from the structural capacity monitoring module and the operational attitude monitoring module, and store the data in the database;

[0040] Status assessment: The health status of the ship lift structure and equipment is assessed based on the collected data; if the data does not exceed the parameter indicators set by the module, the structure or equipment is in a healthy state, and the assessment results and corresponding data are stored in the database as historical data; if the data exceeds the parameter indicators set by the module, the structure or equipment is in an unhealthy state, and a warning or alarm signal is issued according to the degree of abnormality.

[0041] Fault Analysis: When a warning or alarm signal is received, the system compares the collected data, health assessment results, and data in the expert system module to perform fault diagnosis and analysis on the alarm information and generate equipment fault repair decisions.

[0042] This invention monitors the structural capacity and operational status of the ship-bearing chamber, thereby gaining real-time insight into its structural performance indicators and operational conditions. The monitoring data is used to evaluate and analyze the health status of the ship-bearing chamber, achieving the purpose of monitoring its condition. When an abnormal health condition is detected, a warning or alarm signal is issued, and corresponding decisions are made to promptly adjust and maintain the chamber. Upon receiving an alarm signal, the monitoring data is compared with data in the data storage module to quickly diagnose the fault and provide maintenance decisions.

[0043] During data collection, the monitoring data is first screened to remove unreasonable data, so as to avoid the impact of unreasonable data on the evaluation results and avoid misjudgment that leads to maintenance or repair decisions for the ship carrier, thus ensuring the normal operation of the ship carrier.

[0044] Furthermore, in another embodiment, the structural capacity monitoring module mainly monitors the stress of the lug plate, the stress of the main crossbeam, the stress of the main longitudinal beam, the stress of key parts of the docking locking mechanism, the stress of key parts of the locking beam, the stress at the tightening mechanism, the stress of key parts of the horizontal door hinge support, the deflection deformation of the main crossbeam of the ship-bearing compartment, and the deflection deformation of the main longitudinal beam of the ship-bearing compartment.

[0045] By monitoring the structural capabilities of key components, the health status of the ship's structural capabilities can be assessed more reliably and accurately.

[0046] Furthermore, in another embodiment, the operating posture monitoring module mainly monitors the water level inside the cabin, the cabin position, the cabin level, the tension of the wire rope, the displacement and pressure of the left and right hydraulic cylinders of the reclining door, the displacement and pressure of the left and right hydraulic cylinders of the anti-collision beam, the displacement and pressure of the hydraulic cylinders of the docking locking mechanism, the displacement and pressure of the hydraulic cylinders of the clamping mechanism, and the displacement and pressure of the hydraulic cylinders of the sealing frame.

[0047] By monitoring the operation of key components, the health status of the ship's operating posture can be assessed more reliably and accurately.

[0048] Furthermore, in another embodiment, during the status assessment, the collected and verified equipment information is evaluated based on the health status indicators in the expert system. If the assessment result exceeds the health warning indicator but does not exceed the fault alarm indicator, the system will issue a warning signal and make a decision on routine equipment maintenance.

[0049] Issuing early warning signals can detect abnormal conditions in the ship lifting chamber in advance, allowing for timely maintenance and reducing the impact on the normal operation of the ship lift.

[0050] Furthermore, in another embodiment, a single-structure, single-parameter index assessment method is used to assess the structural metal capacity health status in the condition assessment; by using the design parameters of the ship-bearing chamber and historical data over a certain period of time, the standard time function of various parameter indices and the limit value of the parameter indices during normal operation are obtained, and a health index analysis model of the parameter indices is established, as shown in equation (1):

[0051] (1)

[0052] Where i represents a parameter of the ship's hull, such as stress, strain, deflection, or displacement; P i Let λ be the health index of the i-parameter indicator; f(t) be the actual running time function of the i-parameter indicator; and F(t) be the standard time function of the i-parameter indicator. min and λ max The minimum and maximum limit values ​​are specified for the i-parameter index.

[0053] When the actual measured value exceeds the threshold range, the health index is 0, the system will issue an alarm signal and trigger shutdown protection measures; when the actual measured value coincides with the standard value, the health index is 1, indicating the equipment is in optimal condition; when the actual measured value is within the threshold range, a health status rating is obtained by comparing it with the standard value between 0 and 1, and corresponding decision information for daily maintenance or inspection is provided.

[0054] Furthermore, in another embodiment, a single-device multi-parameter index evaluation method is used to assess the health status of the equipment's operating attitude during the condition assessment; firstly, based on the single-device single-parameter index evaluation method, a health index P of the single-parameter index of each device on the ship-carrying chamber is established. i The influence weights of various parameters in a single device are clearly defined, and then the comprehensive weighted method is used to evaluate the health status of multiple parameters of a single device, as shown in equation (2):

[0055] (2)

[0056] Where j represents key components or equipment of the ship's hull, such as lifting lugs, main crossbeams, main longitudinal beams, and docking locking mechanisms; W j Let j be the health index of device j based on multiple parameters; n be the total number of i-parameter parameters included in device j; k be the health index of device j based on multiple parameters. i The weights of parameter i, 0≤k i ≤1, and

[0057] .

[0058] Furthermore, in another embodiment, during condition assessment and fault analysis, parameters and results are sent to a database for storage, and a data model is built in the database.

[0059] Store all monitoring information, evaluation process values, and evaluation structures, and establish a data model so that when similar parameters are monitored again, the evaluation structure can be derived more quickly, reducing the evaluation burden.

[0060] Example 2:

[0061] like Figure 1 As shown, the present invention also provides an online monitoring system for the ship lift's ship-carrying chamber, including...

[0062] Structural capacity monitoring module: used to monitor the stress and deflection deformation of the ship lift's ship-bearing chamber in real time;

[0063] Operating posture monitoring module: used to collect real-time operating status information of the ship lift's ship-carrying chamber;

[0064] Data processing module: collects monitoring data from the structural capability monitoring module and the operational attitude monitoring module, verifies the monitoring data, and removes unreasonable data;

[0065] The expert system includes a knowledge base and a database. The database is used to collect and store data verified by the data processing module. The knowledge base contains national standards, industry standards, ship lift design documents, and past failure case data.

[0066] Equipment health assessment module: Obtains data from the data processing module and compares and analyzes it with data from the expert system to assess the health status of the ship lift's carrying chamber; if the health warning indicators exceed the health warning indicators but do not exceed the fault alarm indicators, a warning signal will be given and a routine equipment maintenance decision will be made; if the fault alarm indicators exceed the fault alarm indicators, an alarm signal will be given.

[0067] Fault Diagnosis and Analysis Module: Upon receiving an alarm signal, it obtains real-time monitoring data and compares and analyzes it with the data in the data storage module to assess the fault of the ship lift's ship-carrying chamber and make equipment fault repair decisions.

[0068] Furthermore, in another embodiment, the structural capacity monitoring module is connected to several deflection monitoring sensors arranged on the main longitudinal beams and main transverse beams of the ship-bearing box.

[0069] Deflection monitoring sensors include servo tilt sensors, laser rangefinders, etc., which can better monitor the deflection deformation of the ship's cabin in real time.

[0070] Furthermore, in another embodiment, the operating attitude monitoring module is connected to several water level gauges, displacement sensors, tension sensors, and pressure gauges arranged on the ship-bearing structure.

[0071] Real-time monitoring of key information such as water level, position, and levelness of the ship-carrying chamber, wire rope tension, displacement and pressure of the left and right hydraulic cylinders of the reclining door, displacement and pressure of the left and right hydraulic cylinders of the anti-collision beam, displacement and pressure of the hydraulic cylinders of the docking locking mechanism, displacement and pressure of the hydraulic cylinders of the clamping mechanism, and displacement and pressure of the hydraulic cylinders of the sealing frame, allows for better real-time monitoring of the ship-carrying chamber's operating posture.

[0072] Based on the description and accompanying drawings of this invention, those skilled in the art can easily manufacture or use the online monitoring method and system for ship lift hulls of this invention, and can achieve the positive effects described in this invention.

[0073] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Any simple modifications or equivalent changes made to the above embodiments based on the technical essence of the present invention shall fall within the protection scope of the present invention.

Claims

1. A method for online monitoring of a ship chamber of a ship lift, characterized in that: Includes the following: Data monitoring: The parameters of the ship lift are monitored through the structural capacity monitoring module and the operational attitude monitoring module; Data acquisition: Collect monitoring data from the structural capacity monitoring module and the operational attitude monitoring module, and store the data in the database; Status assessment: The health status of the ship lift structure and equipment is assessed based on the collected data; if the data does not exceed the parameter indicators set by the module, the structure or equipment is in a healthy state, and the assessment results and corresponding data are stored in the database as historical data; if the data exceeds the parameter indicators set by the module, the structure or equipment is in an unhealthy state, and a warning or alarm signal is issued according to the degree of abnormality. In the status assessment, the single-structure single-parameter index assessment method is used to assess the health status of the ship hull structure and equipment; through the design parameter index of the ship hull and the historical operation data over a certain period of time, the standard time function of various parameter indexes and the limit value of the parameter index during normal operation are obtained, and a health index analysis model of the parameter index is established, as shown in equation (1): ,(1) wherein i is a parameter index for a certain parameter of the ship cradle, including stress, strain, deflection, displacement; P i is i a health index of the parameter index; f(t) is i a real-time function of the parameter index, F(t) is i a standard time function of the parameter index; λ min and λ max is i a minimum limit value and a maximum limit value of the parameter index specified in design; Fault Analysis: When a warning or alarm signal is received, the system compares the collected data, health assessment results, and data in the expert system module to perform fault diagnosis and analysis on the alarm information and generate equipment fault repair decisions.

2. The method for monitoring the ship chamber of the ship lift in line according to claim 1, characterized in that: The structural capacity monitoring module mainly monitors the stress of the lifting lug plate, the stress of the main crossbeam, the stress of the main longitudinal beam, the stress of key parts of the docking locking mechanism, the stress of key parts of the locking beam, the stress at the tightening mechanism, the stress of key parts of the horizontal door hinge support, the deflection deformation of the main crossbeam of the ship-bearing box, and the deflection deformation of the main longitudinal beam of the ship-bearing box.

3. The method for monitoring the ship chamber of the ship lift in line according to claim 1, characterized in that: The operating posture monitoring module mainly monitors the water level inside the cabin, the cabin position, the cabin level, the tension of the wire rope, the displacement and pressure of the left and right hydraulic cylinders of the reclining door, the displacement and pressure of the left and right hydraulic cylinders of the anti-collision beam, the displacement and pressure of the hydraulic cylinders of the docking locking mechanism, the displacement and pressure of the hydraulic cylinders of the clamping mechanism, and the displacement and pressure of the hydraulic cylinders of the sealing frame.

4. The ship chamber online monitoring method of ship lift according to claim 1, characterized in that: In the status assessment, the collected and verified equipment information is evaluated based on the health status indicators in the expert system. If the assessment result exceeds the health warning indicator but does not exceed the fault alarm indicator, the system will issue a warning signal and make a decision on the daily maintenance of the equipment.

5. The ship chamber online monitoring method of ship lift according to claim 1, characterized in that: In the state evaluation, the single equipment multi-parameter index evaluation method is used to evaluate the health state of the equipment operation posture. First, according to the single equipment single parameter index evaluation method, the health index of the single parameter index of each equipment on the ship compartment is established P i , the influence weight of each type of parameter index in the single equipment is determined, and then the comprehensive weighting method is used to evaluate the health state of the single equipment multi-parameter index, such as formula (2): ,(2) wherein j are key parts or equipment of the ship cradle, including the hanger plate, the main cross beam, the main longitudinal beam, and the butt joint locking mechanism; W j are j the health index of the equipment based on the multi-parameter index; n are j the total number of parameter indexes contained by the equipment; i k i are i the weights of the parameter indexes, 0≤k i ≤1 and​ 。 6. The ship chamber online monitoring method of the ship lift according to any one of claims 1-5, characterized in that: During condition assessment and fault analysis, parameters and results are sent to the database for storage, and a data model is built in the database.

7. An online monitoring system for a ship chamber of a ship lift, characterized in that: The method for implementing the online monitoring of the ship lift's ship-carrying chamber as described in any one of claims 1 to 6 includes: Structural capacity monitoring module: used to monitor the stress and deflection deformation of the ship lift's ship-bearing chamber in real time; Operating posture monitoring module: used to collect real-time operating status information of the ship lift's ship-carrying chamber; Data processing module: collects monitoring data from the structural capability monitoring module and the operational attitude monitoring module, verifies the monitoring data, and removes unreasonable data; Expert system: includes a knowledge base and a database, the database being used to collect and store data verified by the data processing module; The knowledge base contains national standards, industry standards, design documents for ship lift hulls, and past failure case data. Equipment health assessment module: Obtains data from the data processing module and compares and analyzes it with data from the expert system to assess the health status of the ship lift's carrying chamber; if the health warning indicators exceed the health warning indicators but do not exceed the fault alarm indicators, a warning signal will be given and a routine equipment maintenance decision will be made; if the fault alarm indicators exceed the fault alarm indicators, an alarm signal will be given. Fault Diagnosis and Analysis Module: Upon receiving an alarm signal, it obtains real-time monitoring data and compares and analyzes it with the data in the data storage module to assess the fault of the ship lift's ship-carrying chamber and make equipment fault repair decisions.

8. The ship chamber online monitoring system of the ship lift according to claim 7, characterized in that: The structural capacity monitoring module is connected to several deflection monitoring sensors arranged on the main longitudinal beams and main transverse beams of the ship-bearing box.

9. The ship chamber online monitoring system of ship lift according to claim 7, characterized in that: The operational attitude monitoring module is connected to several water level gauges, displacement sensors, tension sensors, and pressure gauges arranged on the ship-bearing structure.