Four-winding-drum mechanism for ship unloader

Abstract

The invention discloses a four-winding-drum mechanism for a ship unloader, and relates to the technical field of ship unloaders, the four-winding-drum mechanism comprises a first base, a second base, a shell plate and a steel wire rope, the upper portion of the first base is provided with a first motor and a first differential reduction gearbox, and the first differential reduction gearbox is fixedly connected with the output end of the first motor; the output end of the first differential reduction gearbox is provided with a right-handed opening and closing winding drum and a left-handed opening and closing winding drum, the upper portion of the second base is provided with a second motor and a second differential reduction gearbox, and the second differential reduction gearbox is fixedly connected with the output end of the second motor. Potential problems of the steel wire rope can be found in time through real-time monitoring, so that safety accidents caused by faults of the steel wire rope are avoided, early warning can be ensured to be performed at the initial stage of damage of the steel wire rope through double threshold value early warning, the safety of the steel wire rope is ensured, and the safety of the steel wire rope is ensured. And the equipment can be immediately stopped in case of serious damage.

Description

Technical Field

[0001] The invention relates to the technical field of ship unloaders, and in particular to a four-drum mechanism for a ship unloader. Background Art

[0002] Ship unloaders are large-scale mechanical equipment specially used for unloading materials from ships, and are widely used in ports, docks and other logistics distribution centers. It efficiently completes the process of grabbing, lifting, transporting and unloading materials through the coordinated work of various mechanisms and systems. The four-drum mechanism is an important component of the ship unloader. By controlling the operation of the motor, the drum is driven and adjusted, which in turn affects the winding and release of the wire rope. The wire rope is tightened by the rotation of the drum, driving the grab bucket to descend and close to grab the material; then, the drum rotates in the opposite direction to release the wire rope, so that the grab bucket lifts and transports the material to the specified location; finally, the grab bucket is opened and closed and the material is unloaded by controlling the retraction and release of the wire rope.

[0003] After searching, the invention patent with Chinese patent number CN113184692A discloses a four-drum drive system of emergency differential reducer for grab ship unloader;

[0004] Compared with the prior art, the invention patent with Chinese patent number CN113184692A connects the drums driven by two differential reducers to each other through a manual clutch. The clutch is separated during normal operation. When one differential reducer fails, the clutch connects the drums of the two differential reducers and performs temporary emergency drive through the normally operating differential reducer on the other side. In this way, the grab can be opened and closed, and raised and lowered with reduced efficiency, thereby not affecting the ship unloading operation.

[0005] However, in actual use, the above device needs to unload the ship by retracting and releasing the steel wire rope. However, after working for a long time, the steel wire rope is prone to damage such as rust. It is usually necessary for the staff to manually inspect and troubleshoot the problems, which makes it difficult to discover potential problems in time and difficult to monitor in real time during work. As a result, safety accidents may easily occur during unloading due to steel wire rope failure. Therefore, a four-drum mechanism for a ship unloader is proposed. Summary of the invention

[0006] The purpose of the present invention is to solve the shortcomings of the prior art that it is difficult to discover potential problems in time, which easily leads to safety accidents during ship unloading due to wire rope failure, and to propose a four-drum mechanism for a ship unloader.

[0007] In order to achieve the above object, the present invention adopts the following technical solutions:

[0008] A four-drum mechanism for a ship unloader, comprising a first base, a second base, a shell plate and a steel wire rope, wherein a first motor and a first differential reduction box are respectively installed on the upper part of the first base, the first differential reduction box is fixedly connected to the output end of the first motor, and the output end of the first differential reduction box is respectively installed with a right-handed opening and closing drum and a left-handed opening and closing drum, a second motor and a second differential reduction box are respectively installed on the upper part of the second base, the second differential reduction box is fixedly connected to the output end of the second motor, and the output end of the second differential reduction box is respectively installed with a left-handed opening and closing drum and a right-handed lifting drum, a third motor is installed on the upper part of the first base, a floating shaft is installed at the output end of the third motor, the first differential reduction box and the second differential reduction box are both movably connected to the floating shaft, a monitoring auxiliary component for the steel wire rope is arranged on the shell plate, the monitoring auxiliary component comprises a plurality of rubber strips arranged on the shell plate, a state monitoring component for the steel wire rope is arranged on the shell plate, and the state monitoring component comprises:

[0009] The sensor module is responsible for collecting the parameter data of the wire rope in real time, such as vibration, temperature, corrosion, diameter change, and tension;

[0010] The data acquisition and processing module is used to receive data from the sensor module and perform pre-processing, filtering, and amplification to improve the accuracy and reliability of the data;

[0011] A state evaluation module is used to evaluate the state of the wire rope according to the data processed by the data acquisition and processing module;

[0012] The early warning module is used to compare the evaluation results of the state evaluation module and issue an early warning signal and a stop signal when a dangerous state is detected;

[0013] A control execution module, configured to automatically stop the first motor, the second motor and the third motor after receiving a stop signal from the early warning module;

[0014] Remote monitoring and communication module, used to realize remote monitoring, status display and real-time communication.

[0015] The above technical solution further includes:

[0016] The sensor module includes an acceleration sensor, a temperature sensor, an acoustic emission sensor, a visual sensor and a strain sensor. The acceleration sensor is used to monitor the vibration of the steel wire rope during movement. The temperature sensor is used to monitor the temperature of the steel wire rope and its surrounding environment. The temperature change will affect the mechanical properties of the steel wire rope. The acoustic emission sensor realizes early detection of cracks and broken wire defects inside the steel wire rope by capturing the acoustic emission signal generated by the steel wire rope when it is stressed or damaged. The visual sensor identifies the damage and rust on the surface of the steel wire rope by taking an image of the steel wire rope. The strain sensor is used to measure the strain change of the steel wire rope when it is stressed, and analyze the stress state of the steel wire rope through strain data.

[0017] The data acquisition and processing module includes a data acquisition unit and a data preprocessing unit. The data acquisition unit acquires output signals in real time, and the data preprocessing unit performs preliminary processing on the collected raw data, including filtering and denoising operations, to improve the accuracy and reliability of the data.

[0018] The data preprocessing unit removes strand wave noise and vibration noise in the wire rope signal through wavelet transform, suppresses strand wave noise, and highlights defect signals. The wavelet transform is a continuous wavelet transform, and the formula of the continuous wavelet transform is:

[0019]

[0020] in:

[0021] x(t) is the input monitoring signal, ψ(t) is the mother wavelet, which is a function with a specific waveform and finite duration, ψ*(t) is the complex conjugate of the mother wavelet, a is the scale parameter, which controls the expansion and contraction of the wavelet function. When a increases, the wavelet function is stretched on the time axis, corresponding to low-frequency analysis; when a decreases, the wavelet function is compressed on the time axis, corresponding to high-frequency analysis, b is the translation parameter, which controls the translation of the wavelet function on the time axis and is used to analyze different time periods of the signal. W(a,b) is the coefficient of the wavelet transform, which represents the wavelet characteristics of the signal x(t) at scale a and position b.

[0022] The state assessment module establishes a state assessment model and conducts in-depth analysis on the data processed by the data acquisition and processing module to assess the health status of the wire rope. The steps are as follows:

[0023] Data Collection:

[0024] Collect data from the sensor module, including vibration signals, stress data, temperature data, acoustic emission signals, image data, and strain changes, and extract features that have an important impact on the condition assessment of the wire rope, such as frequency components, energy distribution, and time domain statistics;

[0025] Dataset division:

[0026] The processed data set is divided into training set, validation set and test set. The training set is used for model training, the validation set is used to adjust model parameters, and the test set is used to evaluate model performance.

[0027] Model selection:

[0028] Select convolutional neural network for wire rope condition assessment;

[0029] Build the model:

[0030] Build the model framework, including input layer, hidden layer, activation function, and output layer;

[0031] Model training:

[0032] Use the training set data to train the model, and continuously adjust the model's weights and biases through the back-propagation algorithm to minimize the prediction error. During the training process, use the validation set to adjust the model parameters, such as adjusting the learning rate, batch size, and number of iterations.

[0033] Model evaluation and optimization:

[0034] Use the test set data to evaluate the trained model, focusing on accuracy, recall, F1 score, and evaluation indicators. Based on the evaluation results, optimize the model, such as adjusting the model structure, changing the algorithm, and adding data enhancement.

[0035] Model deployment and application:

[0036] The trained and optimized model is deployed to achieve real-time monitoring and evaluation. Based on the evaluation results of the model, the health status information of the wire rope is provided to the operator in real time through the remote monitoring and communication module.

[0037] The early warning module includes an early warning threshold setting unit and a threshold judgment unit. The early warning threshold setting unit determines two thresholds, a slight damage threshold and a severe damage threshold, according to the safety standards and usage requirements of the wire rope. The threshold judgment unit compares the processed data with the early warning threshold preset by the early warning threshold setting unit.

[0038] If the comparison result of the threshold judgment unit exceeds the light damage threshold but does not reach the severe damage threshold, the warning signal sending mechanism is triggered; if it exceeds the severe damage threshold, the warning signal is triggered and a signal is sent to the control execution module.

[0039] A circular frame is slidably arranged on the upper part of the shell plate, racks are installed on both sides of the circular frame, and a plurality of gears are rotatably connected to the upper part of the shell plate, and the gears are meshed with the racks.

[0040] A plurality of rubber strips are installed on the inner side of the gear, and the rubber strips are in contact with the outer side surface of the steel wire rope.

[0041] The upper part of the shell plate is symmetrically provided with sliding grooves, the inner side of the sliding groove is slidably provided with a sliding groove, the side of the sliding groove close to the gear is fixedly connected to the circular frame, springs are installed on both sides of the sliding groove, and the end of the spring away from the sliding groove is fixedly connected to the inner side of the sliding groove.

[0042] The present invention has the following beneficial effects:

[0043] 1. In the present invention, the condition monitoring system can monitor in real time and timely discover potential problems of the wire rope, thereby avoiding safety accidents caused by wire rope failures. The dual threshold warning can ensure that an early warning is given at the early stage of wire rope damage, and the equipment is immediately stopped when it is seriously damaged, effectively preventing the accident from expanding. Automated monitoring and warning can reduce the frequency and intensity of manual inspections.

[0044] 2. In the present invention, the cleanliness of the surface of the wire rope can be ensured by monitoring the auxiliary components, which directly affects the coupling effect of the detection and the accuracy of the detection results. Keeping the surface clean can reduce false alarms and missed alarms and improve the reliability of the detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 This is a first overall structural schematic diagram of a four-drum mechanism for a ship unloader proposed by the present invention;

[0046] Figure 2 It is a second overall structural schematic diagram of the present invention;

[0047] Figure 3 It is a schematic diagram of the system block in the present invention;

[0048] Figure 4 for Figure 1 A schematic diagram of the enlarged structure in the middle.

[0049] In the figure: 1. sensor module; 2. data acquisition and processing module; 3. status assessment module; 4. early warning module; 5. control execution module; 6. remote monitoring and communication module; 7. first base; 8. first motor; 9. first differential reduction box; 10. second base; 11. second motor; 12. second differential reduction box; 13. third motor; 14. floating shaft; 15. right-handed opening and closing drum; 16. left-handed opening and closing drum; 17. left-handed lifting drum; 18. right-handed lifting drum; 19. shell plate; 20. sliding groove; 21. sliding block; 22. spring; 23. circular frame; 24. gear; 25. rubber strip; 26. wire rope; 27. rack. DETAILED DESCRIPTION

[0050] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0051] Embodiment 1

[0052] like Figure 1-Figure 4 As shown, a four-drum mechanism for a ship unloader proposed by the present invention comprises a first base 7, a second base 10, a shell plate 19 and a wire rope 26. A first motor 8 and a first differential reduction box 9 are respectively installed on the upper part of the first base 7. The first differential reduction box 9 is fixedly connected to the output end of the first motor 8. A right-handed opening and closing drum 15 and a left-handed opening and closing drum 16 are respectively installed on the output end of the first differential reduction box 9. A second motor 11 and a second differential reduction box 12 are respectively installed on the upper part of the second base 10. The second differential reduction box 12 is connected to the output end of the second motor 11. The output ends of the second differential reduction box 12 are respectively installed with a left-handed opening and closing drum 17 and a right-handed lifting drum 18, a third motor 13 is installed on the upper part of the first base 7, and a floating shaft 14 is installed on the output end of the third motor 13. The first differential reduction box 9 and the second differential reduction box 12 are movably connected to the floating shaft 14. A monitoring auxiliary component for the wire rope 26 is provided on the shell plate 19, and the monitoring auxiliary component includes a plurality of rubber strips 25 provided on the shell plate 19. A state monitoring component for the wire rope 26 is provided on the shell plate 19, and the state monitoring component includes:

[0053] The sensor module 1 is responsible for collecting parameter data of the steel wire rope 26 in real time;

[0054] Data acquisition and processing module 2, used for receiving data from sensor module 1;

[0055] A state evaluation module 3 is used to evaluate the state of the steel wire rope 26 according to the data processed by the data acquisition and processing module 2;

[0056] The early warning module 4 is used to compare the evaluation results of the state evaluation module 3 and issue an early warning signal and a stop signal when a dangerous state is detected;

[0057] The control execution module 5 is used to automatically stop the first motor 8, the second motor 11 and the third motor 13 after receiving the stop signal from the early warning module 4;

[0058] Remote monitoring and communication module 6, used to realize remote monitoring, status display and real-time communication;

[0059] The sensor module 1 includes an acceleration sensor, a temperature sensor, an acoustic emission sensor, a visual sensor and a strain sensor. The acceleration sensor is used to monitor the vibration of the steel wire rope 26 during movement. The temperature sensor is used to monitor the temperature of the steel wire rope 26 and its surrounding environment. The acoustic emission sensor captures the acoustic emission signal generated by the steel wire rope 26 when it is stressed or damaged. The visual sensor identifies the damage and corrosion on the surface of the steel wire rope 26 by taking an image of the steel wire rope 26. The strain sensor is used to measure the strain change of the steel wire rope 26 when it is stressed. The data acquisition and processing module 2 includes a data acquisition unit and a data preprocessing unit. The data acquisition unit collects the signal output by 1 in real time, and the data preprocessing unit processes the collected raw data.

[0060] The data preprocessing unit removes the strand wave noise and vibration noise in the wire rope 26 signal through wavelet transform, suppresses the strand wave noise, and highlights the defect signal. The wavelet transform is a continuous wavelet transform, and the formula of the continuous wavelet transform is:

[0061]

[0062] in:

[0063] x(t) is the input 26 monitoring signal, ψ(t) is the mother wavelet, which is a function with a specific waveform and finite duration, ψ*(t) is the complex conjugate of the mother wavelet, a is the scale parameter, which controls the expansion and contraction of the wavelet function. When a increases, the wavelet function is stretched on the time axis, corresponding to low-frequency analysis; when a decreases, the wavelet function is compressed on the time axis, corresponding to high-frequency analysis, b is the translation parameter, which controls the translation of the wavelet function on the time axis, and is used to analyze different time periods of the signal. W(a,b) is the coefficient of the wavelet transform, which represents the wavelet characteristics of the signal x(t) at scale a and position b;

[0064] The state assessment module 3 establishes a state assessment model and performs in-depth analysis on the data processed by the data acquisition and processing module 2 to assess the health state of the wire rope 26. The steps are as follows:

[0065] Data Collection:

[0066] Collecting data from the sensor module 1, including vibration signals, stress data, temperature data, acoustic emission signals, image data, and strain changes, and extracting features that have an important impact on the state assessment of the wire rope 26, such as frequency components, energy distribution, and time domain statistics;

[0067] Dataset division:

[0068] The processed data set is divided into training set, validation set and test set. The training set is used for model training, the validation set is used to adjust model parameters, and the test set is used to evaluate model performance.

[0069] Model selection:

[0070] Selecting convolutional neural network for wire rope 26 condition assessment;

[0071] Build the model:

[0072] Build the model framework, including input layer, hidden layer, activation function, and output layer;

[0073] Model training:

[0074] Use the training set data to train the model, and continuously adjust the model's weights and biases through the back-propagation algorithm to minimize the prediction error. During the training process, use the validation set to adjust the model parameters, such as adjusting the learning rate, batch size, and number of iterations.

[0075] Model evaluation and optimization:

[0076] Use the test set data to evaluate the trained model, focusing on accuracy, recall, F1 score, and evaluation indicators. Based on the evaluation results, optimize the model, such as adjusting the model structure, changing the algorithm, and adding data enhancement.

[0077] Model deployment and application:

[0078] The trained and optimized model is deployed to achieve real-time monitoring and evaluation. According to the evaluation results of the model, the health status information of the wire rope 26 is provided to the operator in real time through the remote monitoring and communication module 6;

[0079] The early warning module 4 includes an early warning threshold setting unit and a threshold judgment unit. The early warning threshold setting unit determines two thresholds, a slight damage threshold and a severe damage threshold, according to the safety standards and usage requirements of the wire rope 26. The threshold judgment unit compares the processed data with the early warning threshold preset by the early warning threshold setting unit. If the comparison result of the threshold judgment unit exceeds the slight damage threshold but does not reach the severe damage threshold, the early warning signal sending mechanism is triggered. If the severe damage threshold is exceeded, the early warning signal is triggered, and a signal is sent to the control execution module 5.

[0080] In this embodiment, when the ship is unloading, the first motor 8, the second motor 11 and the third motor 13 are started to make the right-handed opening and closing drum 15, the left-handed opening and closing drum 16, the left-handed opening and closing drum 17 and the right-handed lifting drum 18 drive the wire rope 26 to be retracted and released, so as to carry out the ship unloading work. When the wire rope 26 is in use, the parameter data of the wire rope 26, such as vibration, temperature, corrosion, diameter change, tension, can be collected by the sensor module 1 at this time, and then the data transmitted by the sensor module 1 is pre-processed by the data acquisition and processing module 2 to improve the accuracy and reliability of the data, and then the state evaluation model is established by the state evaluation module 3, and the processed data is deeply analyzed. According to the evaluation results of the model, the health status information of the wire rope 26 is provided to the operator in real time through the remote monitoring and communication module 6, and the potential problems of the wire rope 26 can be timely discovered through the state monitoring system in real time, thereby avoiding safety accidents caused by wire rope failures;

[0081] After the status assessment module 3 obtains the assessment result, it is compared with the light damage threshold and the severe damage threshold preset by the early warning module 4. If the comparison result exceeds the light damage threshold but does not reach the severe damage threshold, the early warning signal sending mechanism is triggered. If the severe damage threshold is exceeded, the early warning signal is triggered, and a signal is sent to the control execution module 5. The control execution module 5 automatically stops the use of the first motor 8, the second motor 11 and the third motor 13. The double threshold early warning can ensure that an early warning is issued at the early stage of damage to the wire rope 26, and the equipment is immediately stopped when it is seriously damaged, effectively preventing the accident from expanding. In addition, automated monitoring and early warning can reduce the frequency and intensity of manual inspections.

[0082] Embodiment 2

[0083] like Figure 1-Figure 4 As shown, based on the first embodiment, a circular frame 23 is slidably provided on the upper part of the shell plate 19, racks 27 are installed on both sides of the circular frame 23, a plurality of gears 24 are rotatably connected to the upper part of the shell plate 19, the gears 24 are meshed with the racks 27, a plurality of rubber strips 25 are installed on the inner side of the gears 24, and the rubber strips 25 are in contact with the outer side of the wire rope 26, and sliding grooves 20 are symmetrically provided on the upper part of the shell plate 19, and sliding grooves 21 are slidably provided on the inner side of the sliding grooves 20, the side of the sliding grooves 21 close to the gears 24 is fixedly connected to the circular frame 23, and springs 22 are installed on both sides of the sliding grooves 21, and the end of the spring 22 away from the sliding grooves 21 is fixedly connected to the inner side of the sliding grooves 20.

[0084] In this embodiment, when the steel wire rope 26 passes through the shell plate 19 and moves back and forth, the shell plate 19 can be driven to vibrate by the force of its movement, thereby driving the circular frame 23 to vibrate. Since the circular frame 23 is slidably connected to the sliding groove 20 through the sliding groove 21, it can slide along the sliding groove 20 when the circular frame 23 vibrates. At the same time, the elasticity of the spring 22 makes the circular frame 23 slide back and forth. When the circular frame 23 moves, it can drive the rack 27 to move. Since the rack 27 is meshed with the gear 24, when the circular frame 23 slides back and forth, it can drive the rubber strip 25 to rotate through the rack 27 and the gear 24, thereby continuously and automatically processing impurities on the steel wire rope 26, and ensuring the cleanliness of the surface of the steel wire rope, thereby directly affecting the coupling effect of the detection and the accuracy of the detection result. Keeping the surface clean can reduce false alarms and missed alarms, and improve the reliability of the detection.

[0085] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A four-drum mechanism for a ship unloader, comprising a first base (7), a second base (10), a shell plate (19) and a steel wire rope (26), characterized in that: A first motor (8) and a first differential reduction gearbox (9) are respectively mounted on the upper part of the first base (7); the first differential reduction gearbox (9) is fixedly connected to the output end of the first motor (8); the output end of the first differential reduction gearbox (9) is respectively mounted with a right-handed opening and closing reel (15) and a left-handed opening and closing reel (16); a second motor (11) and a second differential reduction gearbox (12) are respectively mounted on the upper part of the second base (10); the second differential reduction gearbox (12) is fixedly connected to the output end of the second motor (11); the output end of the second differential reduction gearbox (12) is respectively mounted with a left-handed opening and closing reel (16); A closing drum (17) and a right-handed lifting drum (18), a third motor (13) is installed on the upper part of the first base (7), a floating shaft (14) is installed on the output end of the third motor (13), the first differential reduction box (9) and the second differential reduction box (12) are both movably connected to the floating shaft (14), a monitoring auxiliary component for a steel wire rope (26) is arranged on the shell plate (19), the monitoring auxiliary component includes a plurality of rubber strips (25) arranged on the shell plate (19), and a state monitoring component for a steel wire rope (26) is arranged on the shell plate (19), and the state monitoring component includes: A sensor module (1) is responsible for collecting parameter data of the steel wire rope (26) in real time; A data acquisition and processing module (2), used for receiving data from the sensor module (1); A state evaluation module (3) is used to evaluate the state of the steel wire rope (26) based on the data processed by the data acquisition and processing module (2); An early warning module (4) is used to compare the evaluation results of the state evaluation module (3) and issue an early warning signal and a stop signal when a dangerous state is detected; A control execution module (5) is used to automatically stop the first motor (8), the second motor (11) and the third motor (13) after receiving a stop signal from the early warning module (4); The remote monitoring and communication module (6) is used to realize remote monitoring, status display and real-time communication.

2. A four-drum mechanism for a ship unloader according to claim 1, characterized in that: The sensor module (1) comprises an acceleration sensor, a temperature sensor, an acoustic emission sensor, a visual sensor and a strain sensor. The acceleration sensor is used to monitor the vibration of the steel wire rope (26) during movement. The temperature sensor is used to monitor the temperature of the steel wire rope (26) and its surrounding environment. The acoustic emission sensor captures the acoustic emission signal generated by the steel wire rope (26) when it is stressed or damaged. The visual sensor identifies the damage and corrosion on the surface of the steel wire rope (26) by taking an image of the steel wire rope (26). The strain sensor is used to measure the strain change of the steel wire rope (26) when it is stressed.

3. A four-drum mechanism for a ship unloader according to claim 1, characterized in that: The data acquisition and processing module (2) comprises a data acquisition unit and a data preprocessing unit, the data acquisition unit acquires the signal output by the sensor module (1) in real time, and the data preprocessing unit processes the acquired raw data.

4. A four-drum mechanism for a ship unloader according to claim 3, characterized in that: The data preprocessing unit removes strand wave noise and vibration noise in the wire rope (26) signal through wavelet transform, suppresses strand wave noise, and highlights defect signals. The wavelet transform is a continuous wavelet transform, and the formula of the continuous wavelet transform is: in: x(t) is the input 26 monitoring signal, ψ(t) is the mother wavelet, which is a function with a specific waveform and finite duration, ψ*(t) is the complex conjugate of the mother wavelet, a is the scale parameter, which controls the expansion and contraction of the wavelet function. When a increases, the wavelet function is stretched on the time axis, corresponding to low-frequency analysis; when a decreases, the wavelet function is compressed on the time axis, corresponding to high-frequency analysis, b is the translation parameter, which controls the translation of the wavelet function on the time axis and is used to analyze different time periods of the signal. W(a,b) is the coefficient of the wavelet transform, which represents the wavelet characteristics of the signal x(t) at scale a and position b.

5. A four-drum mechanism for a ship unloader according to claim 1, characterized in that: The state assessment module (3) establishes a state assessment model and performs in-depth analysis on the data processed by the data acquisition and processing module (2) to assess the health state of the steel wire rope (26), the steps being as follows: Data Collection: Collecting data from the sensor module (1), including vibration signals, stress data, temperature data, acoustic emission signals, image data and strain changes, and extracting features that have an important impact on the state assessment of the wire rope (26), such as frequency components, energy distribution, and time domain statistics; Dataset division: The processed data set is divided into training set, validation set and test set. The training set is used for model training, the validation set is used to adjust model parameters, and the test set is used to evaluate model performance. Model selection: Selecting convolutional neural network for wire rope (26) state assessment; Build the model: Build the model framework, including input layer, hidden layer, activation function, and output layer; Model training: Use the training set data to train the model, and continuously adjust the model's weights and biases through the back-propagation algorithm to minimize the prediction error. During the training process, use the validation set to adjust the model parameters, such as adjusting the learning rate, batch size, and number of iterations. Model evaluation and optimization: Use the test set data to evaluate the trained model, focusing on accuracy, recall, F1 score, and evaluation indicators. Based on the evaluation results, optimize the model, such as adjusting the model structure, changing the algorithm, and adding data enhancement. Model deployment and application: The trained and optimized model is deployed to achieve real-time monitoring and evaluation. Based on the evaluation results of the model, the health status information of the wire rope (26) is provided to the operator in real time through the remote monitoring and communication module (6).

6. A four-drum mechanism for a ship unloader according to claim 1, characterized in that: The early warning module (4) comprises an early warning threshold setting unit and a threshold judgment unit. The early warning threshold setting unit determines two thresholds, a slight damage threshold and a severe damage threshold, according to the safety standards and use requirements of the steel wire rope (26). The threshold judgment unit compares the processed data with the early warning threshold preset by the early warning threshold setting unit.

7. A four-drum mechanism for a ship unloader according to claim 6, characterized in that: If the comparison result of the threshold judgment unit exceeds the light damage threshold but does not reach the severe damage threshold, the warning signal sending mechanism is triggered; if the comparison result exceeds the severe damage threshold, the warning signal is triggered and a signal is sent to the control execution module (5).

8. A four-drum mechanism for a ship unloader according to claim 1, characterized in that: A circular frame (23) is slidably provided on the upper part of the shell plate (19), racks (27) are installed on both sides of the circular frame (23), and a plurality of gears (24) are rotatably connected to the upper part of the shell plate (19), and the gears (24) are meshed with the racks (27).

9. A four-drum mechanism for a ship unloader according to claim 8, characterized in that: A plurality of rubber strips (25) are installed on the inner side of the gear (24), and the rubber strips (25) are in contact with the outer side surface of the steel wire rope (26).

10. A four-drum mechanism for a ship unloader according to claim 9, characterized in that: The upper part of the shell plate (19) is symmetrically provided with a sliding groove (20), the inner side of the sliding groove (20) is slidably provided with a sliding groove (21), the side of the sliding groove (21) close to the gear (24) is fixedly connected to the circular frame (23), both sides of the sliding groove (21) are installed with springs (22), and the end of the spring (22) away from the sliding groove (21) is fixedly connected to the inner side of the sliding groove (20).

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