Dredging ship energy consumption management and accurate mud suction control method
Through performance verification and dynamic security token encryption, precise mud suction control of dredging vessels has been achieved, solving the compatibility and measurement error problems in existing technologies, improving operational efficiency and safety, and reducing energy consumption and operating costs.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CCCC GUANGZHOU DREDGING CO LTD
- Filing Date
- 2025-12-09
- Publication Date
- 2026-05-08
AI Technical Summary
Existing dredging vessel control strategies have poor compatibility with vessel hardware or environmental conditions, resulting in low sludge suction efficiency or pipeline blockage. Key sensor measurement errors occur frequently, and new control strategies lack standardized verification, affecting decision-making accuracy and energy consumption management, and making it difficult to achieve multi-platform collaborative scheduling and real-time optimization.
The system collects and optimizes control strategies through performance verification, and achieves precise sludge suction control based on identity verification and dynamic security token encryption. It uses data-driven strategy optimization by comparing energy efficiency improvement rate and stability index thresholds, and automatically switches to the latest optimized strategy in case of anomalies.
It improves the stability and efficiency of the sludge suction process, reduces the risk of anomalies, reduces energy consumption and operating costs, ensures the integrity and security of operational data, and reduces downtime.
Smart Images
Figure CN121995744A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the technical field of marine engineering and intelligent control, and in particular to a method for energy consumption management and precise mud suction control of dredging vessels. Background Technology
[0002] In recent years, with the development of global shipping and marine engineering, the demand for dredging vessels in port construction, waterway maintenance, and other fields has been increasing. Dredging operations involve complex conditions, such as excavation of different soil types (silt, sand, rock), control of mud concentration, and energy management of the vessel's propulsion system. Currently, dredging vessels typically rely on traditional control strategies and human experience for operation, such as adjusting the suction process through preset pump speeds, valve openings, or rake depths. However, with the diversification of vessel models and the iterative upgrading of control models (such as mud concentration prediction models, vessel attitude algorithms, pump speed regulation algorithms, etc.), the system faces many challenges: Poor compatibility between control strategies and ship hardware or environmental conditions leads to low sludge suction efficiency or pipeline blockage; frequent measurement errors or malfunctions of key sensors (such as concentration meters, flow meters, and GPS) affect the accuracy of decision-making; lack of standardized verification procedures for new control strategies or equipment may lead to excessive energy consumption or operational interruptions if applied directly; and isolated ship operation data makes it difficult to achieve multi-platform collaborative scheduling and real-time optimization.
[0003] While some existing technologies attempt to improve the dredging process through partial automation, they do not fully consider the dynamic adaptability of control strategies, system security, and external integration capabilities. This often leads to inaccurate energy management and unstable sludge suction control, increasing operating costs and safety risks. Summary of the Invention
[0004] The purpose of this section is to outline some aspects of embodiments of the present invention and to briefly describe some preferred embodiments. Simplifications or omissions may be made in this section, as well as in the abstract and title of this application, to avoid obscuring the purpose of these documents; however, such simplifications or omissions should not be construed as limiting the scope of the invention.
[0005] In view of the problems existing in the prior art, the present invention is proposed.
[0006] To solve the above-mentioned technical problems, the present invention provides the following technical solution: a method for energy consumption management and precise mud suction control of dredging vessels, comprising: Multiple operational control strategies associated with dredging vessels are collected and their performance verified. The optimized control strategies that pass the performance verification are then archived. Based on the received ship operation start signal, determine whether to grant operation authority to the ship system; if the ship system is granted operation authority, select the ship's baseline control scheme from the archived preferred control strategies and issue the first control command to the ship system. The ship's system executes the first control command based on the baseline control plan and provides feedback on the execution effect data of the first control command.
[0007] As a preferred embodiment of the energy consumption management and precise sludge suction control method for dredging vessels described in this invention, the following steps are included: verifying the performance of multiple operational control strategies associated with the dredging vessel, and archiving the preferred control strategies that pass the performance verification: Obtain the verification dataset and test platform for the operation control strategy; the test platform simulates the operating environment of the dredging vessel. The job control strategy and the verification dataset are loaded into the test platform; the test platform runs the job control strategy and verifies the verification dataset to obtain a verification result set; the verification result set is summarized and analyzed to determine the performance verification result of the job control strategy.
[0008] As a preferred embodiment of the energy consumption management and precise sludge suction control method for dredging vessels described in this invention, the verification result set includes effective control positive examples and ineffective control negative examples. The process of summarizing and analyzing the verification result set to determine the performance verification results of the operation control strategy includes: Based on the effective control positive examples and the ineffective control negative examples, calculate the energy efficiency improvement rate and stability index of the verification result set; The energy efficiency improvement rate is compared with a preset energy efficiency threshold, and the stability index is compared with a preset stability threshold. If the energy efficiency improvement rate is greater than the preset energy efficiency threshold and the stability index is greater than the preset stability threshold, then the operation control strategy is marked as a preferred control strategy and archived.
[0009] As a preferred embodiment of the energy consumption management and precise sludge suction control method for dredging vessels described in this invention, the step of determining whether to grant operating authority to the vessel system based on the received vessel operation start signal includes: The ship operation start signal is parsed to obtain the ship system's identity and status parameters; the identity and status parameters are verified, and if the verification is successful, operation authority is granted to the ship system.
[0010] As a preferred embodiment of the energy consumption management and precise sludge suction control method for dredging vessels described in this invention, the vessel operation start signal further includes a dynamic safety token for the vessel system, which is automatically generated by the vessel system upon startup; the issuance of the first control command to the vessel system includes: If the ship system is granted operating authority, the baseline control scheme for the ship is selected from the archived preferred control strategies, and the parameters of the ship system are configured. Based on the dynamic security token of the ship system, the control command data is encrypted to generate the first control command and send it to the ship system; the ship system decrypts and executes the first control command based on the dynamic security token and feeds back the execution effect data.
[0011] As a preferred embodiment of the energy consumption management and precise sludge suction control method for dredging vessels described in this invention, the method further includes: Receive the execution effect data of the first control command fed back by the ship system; Based on the execution effect data, determine the operating status of the ship system; If the execution effect data shows that the baseline control scheme is not performing correctly, an optimized control strategy is obtained from the archived preferred control strategies, and the ship system is reconfigured; the optimized control strategy is the latest version of the preferred control strategy.
[0012] As a preferred embodiment of the energy consumption management and precise sludge suction control method for dredging vessels described in this invention, the method further includes: Based on the ship dispatch request sent by the dispatch platform, the target dredging vessel is determined, and the corresponding control instructions to be executed and prompt instructions are generated. A prompt instruction is sent to the target dredging vessel; the target dredging vessel invokes and executes the pending control instruction according to the prompt instruction.
[0013] As a preferred embodiment of the energy consumption management and precise sludge suction control method for dredging vessels described in this invention, the method further includes, before the performance verification of the various operation control strategies associated with the dredging vessel, acquiring the vessel identifiers and configuration parameters of multiple dredging vessels to be initialized; and creating system files for the dredging vessels to be initialized and marking them as dispatchable vessel systems based on the vessel identifiers and configuration parameters.
[0014] The present invention also discloses a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of the above-described method for energy consumption management and precise sludge suction control of a dredging vessel.
[0015] The present invention also discloses a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the above-described method for energy consumption management and precise mud suction control of a dredging vessel.
[0016] The beneficial effects of this invention are as follows: The method of this invention, through performance verification, archives only the optimal control strategy, ensuring compatibility with ship operating conditions, reducing the risk of abnormalities during sludge suction (such as pipe blockage), and improving operational efficiency; based on threshold comparisons of energy efficiency improvement rate and stability indicators, it achieves data-driven strategy optimization, which can reduce the average unit energy consumption and improve resource utilization; through identity verification and dynamic security token encryption, it prevents unauthorized access and instruction tampering, ensuring the integrity of operational data and the safety of ship operation; relying on real-time monitoring and reconfiguration of operational effect data, it automatically switches to the latest optimized strategy in case of anomalies, reducing downtime. Attached Figure Description
[0017] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. Wherein: Figure 1 This is a schematic diagram of the overall process of a dredging vessel energy consumption management and precise mud suction control method proposed in this invention. Detailed Implementation
[0018] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
[0019] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.
[0020] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it a single or selective embodiment that is mutually exclusive with other embodiments.
[0021] Reference Figure 1As an embodiment of the present invention, a method for energy consumption management and precise sludge suction control of dredging vessels is provided, the method comprising the following steps: Step 1: Collect data on various operational control strategies associated with dredging vessels and verify their performance. Archive the optimal control strategies that pass the performance verification. Specifically, the process involves acquiring a validation dataset and a test platform for the operational control strategy. The validation dataset refers to a collection of historical or simulated data used to test the control strategy, including ship sensor readings (such as mud concentration and energy consumption), operational parameters (such as pump speed and valve opening), and environmental data (such as soil type and water flow velocity). This data represents typical operational scenarios and is used to quantify the strategy's performance. The test platform (a simulation system or field testing equipment capable of simulating the hardware and operational environment of a dredging vessel; for example, a computer-based ship dynamics model or a small experimental vessel used to run the control strategy and observe its behavior) simulates the dredging vessel's operational environment. The operational control strategy and the validation dataset are loaded onto the test platform. The test platform runs the operational control strategy and validates the validation dataset, obtaining a validation result set. This validation result set represents the output data generated by the test platform after running the strategy, including successful cases (positive examples of effective control) and failed cases (negative examples of ineffective control), used for subsequent analysis. The verification result set is summarized and analyzed to determine the performance verification results of the operation control strategy, including: based on the effective control positive examples and ineffective control negative examples, the energy efficiency improvement rate of the verification result set is calculated (the calculation formula is (baseline energy consumption - strategy energy consumption) / baseline energy consumption × 100%, which reflects the reduction in unit operation energy consumption) and stability index (parameters for evaluating the robustness of the strategy, such as those calculated based on sensor data variance or equipment failure rate; the higher the value, the less affected the strategy is by environmental fluctuations). The energy efficiency improvement rate is compared with the preset energy efficiency threshold, and the stability index is compared with the preset stability threshold. If the energy efficiency improvement rate is greater than the preset energy efficiency threshold and the stability index is greater than the preset stability threshold, the operation control strategy is marked as the preferred control strategy and archived. For example, the above-mentioned preset threshold values, such as the energy efficiency improvement rate needing to be greater than 5% and the stability index needing to be greater than 90%, are used to objectively judge whether the strategy meets the standards.
[0022] Step Two: Based on the received vessel operation start signal, determine whether to grant operation permission to the vessel system. This includes: parsing the vessel operation start signal to obtain the vessel system's identity identifier (such as IMO number, vessel registration number, or MAC address, used to ensure the legitimacy of the operation object) and status parameters (including GPS location, equipment health status (such as pump temperature, sensor calibration values), energy consumption readings, etc., used to determine whether the operation conditions are met); verifying the identity identifier and status parameters by comparing the identity identifier with the registration information in the system database and checking whether the status parameters are within the normal range (such as no fault alarms). If the verification is successful, operation permission is granted to the vessel system. If the ship system is granted operational permissions, the baseline control scheme for the ship is selected from the archived preferred control strategies, and the first control instruction is issued to the ship system. Specifically, the ship operation start signal also includes the ship system's dynamic security token (a digital credential that changes over time or session, automatically generated by the ship system each time it starts using an algorithm (such as a time-based hash)). The dynamic security token is automatically generated by the ship system at startup. The first control instruction issued to the ship system includes: If the ship system is granted operating authority, the baseline control scheme for the ship is selected from the archived preferred control strategies, and the parameters of the ship system are configured. Based on the ship's dynamic security token, the control command data is encrypted. Specifically, standard algorithms (such as AES or TLS) are used to encrypt the command data (such as pump speed adjustment values) to prevent eavesdropping or tampering. The first control command is then generated and sent to the ship's system. The ship's system decrypts and executes the first control command based on the dynamic security token, providing feedback on the execution effect. For example, when ship A starts, it generates a token "Token123". Before sending the command, the system uses this token to encrypt "Increase pump speed to 80%" as ciphertext. After receiving the command, ship A decrypts it using "Token123" and executes it. If the token does not match, the command is invalid.
[0023] Step 3: The ship system executes the first control command according to the benchmark control plan and provides feedback on the execution effect data of the first control command.
[0024] In one embodiment, the method further includes: receiving execution effect data of the first control command fed back by the ship system; The operational status of the vessel system is determined based on the execution effect data (which refers to real-time feedback after the execution of instructions, such as energy consumption, mud concentration, and equipment status codes, used to evaluate the operational effect). If the execution effect data shows that the benchmark control scheme is not performing properly, an optimized control strategy is obtained from the archived preferred control strategies, and the ship system is reconfigured, such as by switching the control strategy, for example, from the benchmark scheme to the latest version of the strategy, in order to cope with changes in operating conditions; the optimized control strategy is the latest version of the preferred control strategy.
[0025] In one embodiment, the method further includes: determining the target dredging vessel based on the vessel scheduling request (including target area and task type (such as dredging or cruising)) sent by the scheduling platform, and generating corresponding control instructions to be executed and prompt instructions (simplified trigger signals, sent through a communication network (such as satellite) to instruct the vessel to query detailed instructions); A prompt instruction is sent to the target dredging vessel; based on the prompt instruction, the target dredging vessel invokes and executes the pending control instructions. For example: the dispatch platform sends a request "Vessel B proceeds to area X for sludge suction," the system generates detailed instructions (such as course and pump speed), and sends a prompt instruction. After receiving the instruction, Vessel B actively retrieves the instruction from the system and executes it.
[0026] In one embodiment, the method further includes: before collecting and verifying the performance of various operation control strategies associated with dredging vessels, the method further includes: obtaining the vessel identifiers and configuration parameters of multiple dredging vessels to be initialized; and creating system files for the dredging vessels to be initialized and marking them as dispatchable vessel systems based on the vessel identifiers and configuration parameters, which means that after initialization, the vessels are qualified to receive instructions.
[0027] In summary, this invention, through performance verification, archives only the optimal control strategy to ensure compatibility with ship operating conditions, reduce the risk of abnormalities during sludge suction (such as pipeline blockage), and improve operational efficiency; based on threshold comparisons of energy efficiency improvement rate and stability indicators, it achieves data-driven strategy optimization, which can reduce the average unit energy consumption and improve resource utilization; through identity verification and dynamic security token encryption, it prevents unauthorized access and instruction tampering, ensuring the integrity of operational data and the safety of ship operation; relying on real-time monitoring and reconfiguration of operational effect data, it automatically switches to the latest optimized strategy in case of anomalies, reducing downtime.
[0028] This embodiment also provides a computer device applicable to a method for energy consumption management and precise sludge suction control of a dredging vessel, comprising: a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions to realize the method for energy consumption management and precise sludge suction control of a dredging vessel as proposed in the above embodiment.
[0029] The computer device can be a terminal, comprising a processor, memory, communication interface, display screen, and input devices connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, carrier networks, NFC (Near Field Communication), or other technologies. The display screen can be an LCD screen or an e-ink screen. The input devices can be a touch layer covering the display screen, buttons, a trackball, or a touchpad on the computer device's casing, or an external keyboard, touchpad, or mouse.
[0030] This embodiment also provides a storage medium storing a computer program, which, when executed by a processor, implements a method for energy consumption management and precise sludge suction control of a dredging vessel as proposed in the above embodiments. The storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read Only Memory (EPROM), Programmable Red-Only Memory (PROM), Read-Only Memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk.
[0031] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.
Claims
1. A method for energy consumption management and precise mud suction control of dredging vessels, characterized in that, include: Multiple operational control strategies associated with dredging vessels are collected and their performance verified. The optimized control strategies that pass the performance verification are then archived. Based on the received ship operation start signal, determine whether to grant operating authority to the ship system; If the ship system is granted operating authority, the baseline control scheme for the ship is selected from the archived preferred control strategies, and the first control instruction is issued to the ship system. The ship's system executes the first control command based on the baseline control plan and provides feedback on the execution effect data of the first control command.
2. The method for energy consumption management and precise mud suction control of dredging vessels according to claim 1, characterized in that: The performance of various operational control strategies associated with dredging vessels is verified, and the optimized control strategies that pass the performance verification are archived, including: Obtain the verification dataset and test platform for the operation control strategy; the test platform simulates the operating environment of the dredging vessel. The job control strategy and the verification dataset are loaded into the test platform; the test platform runs the job control strategy and verifies the verification dataset to obtain a verification result set; the verification result set is summarized and analyzed to determine the performance verification result of the job control strategy.
3. The method for energy consumption management and precise mud suction control of dredging vessels according to claim 2, characterized in that: The verification result set includes effective control positive examples and ineffective control negative examples. The process of summarizing and analyzing the verification result set to determine the performance verification results of the job control strategy includes: Based on the effective control positive examples and the ineffective control negative examples, calculate the energy efficiency improvement rate and stability index of the verification result set; The energy efficiency improvement rate is compared with a preset energy efficiency threshold, and the stability index is compared with a preset stability threshold. If the energy efficiency improvement rate is greater than the preset energy efficiency threshold and the stability index is greater than the preset stability threshold, then the operation control strategy is marked as a preferred control strategy and archived.
4. The method for energy consumption management and precise mud suction control of dredging vessels according to claim 3, characterized in that: The process of determining whether to grant operating authority to the ship's system based on the received ship operation start signal includes: The ship operation start signal is parsed to obtain the ship system's identity and status parameters; the identity and status parameters are verified, and if the verification is successful, operation authority is granted to the ship system.
5. The method for energy consumption management and precise mud suction control of dredging vessels according to claim 4, characterized in that: The ship operation start signal also includes a dynamic safety token for the ship system, which is automatically generated by the ship system upon startup. The issuance of the first control command to the ship system includes: If the ship system is granted operating authority, the baseline control scheme for the ship is selected from the archived preferred control strategies, and the parameters of the ship system are configured. Based on the dynamic security token of the ship system, the control command data is encrypted to generate the first control command and send it to the ship system; the ship system decrypts and executes the first control command based on the dynamic security token and feeds back the execution effect data.
6. The method for energy consumption management and precise mud suction control of dredging vessels according to claim 1, characterized in that: The method further includes: Receive the execution effect data of the first control command fed back by the ship system; Based on the execution effect data, determine the operating status of the ship system; If the execution effect data shows that the baseline control scheme is not performing correctly, an optimized control strategy is obtained from the archived preferred control strategies, and the ship system is reconfigured; the optimized control strategy is the latest version of the preferred control strategy.
7. The method for energy consumption management and precise mud suction control of dredging vessels according to claim 1, characterized in that: The method further includes: Based on the ship dispatch request sent by the dispatch platform, the target dredging vessel is determined, and the corresponding control instructions to be executed and prompt instructions are generated. A prompt instruction is sent to the target dredging vessel; the target dredging vessel invokes and executes the pending control instruction according to the prompt instruction.
8. The method for energy consumption management and precise mud suction control of dredging vessels according to claim 1, characterized in that: Before performing performance verification on the various operational control strategies associated with the dredging vessel, the method further includes: Obtain the vessel identification and configuration parameters of multiple dredging vessels to be initialized; Based on the vessel identification and configuration parameters, a system file is created for the dredging vessel to be initialized and it is marked as a dispatchable vessel system.
9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that: When the processor executes the computer program, it implements the steps of the method for energy consumption management and precise mud suction control of a dredging vessel as described in any one of claims 1 to 8.
10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the processor, it implements the steps of the method for energy consumption management and precise mud suction control of a dredging vessel as described in any one of claims 1 to 8.