Intelligent cargo loading and unloading management system and method for steamship

Abstract

The invention discloses an intelligent cargo loading and unloading management system for a steamship, and the system comprises a cargo information collection module which is provided with a high-precision code scanning device and a sensor, can quickly and accurately read the information of a bar code, a two-dimensional code or an electronic tag on a cargo, obtains the detailed information of the name, specification, weight and batch of the cargo, and transmits the information to a server; the loading and unloading equipment control module is in communication connection with loading and unloading equipment of the steamship and can remotely control starting, stopping, running speed and direction operation of the loading and unloading equipment, and the cabin space management module is used for conducting real-time modeling and monitoring on the internal space of a cabin of the steamship through the three-dimensional modeling technology and a sensor network. Acquiring condition information of each area in the cabin; through accurate cargo information collection, intelligent loading and unloading equipment control, scientific cabin space management, task scheduling optimization, safety monitoring enhancement, data analysis decision support and the like, the loading and unloading efficiency and accuracy are improved, and the overall level of ship cargo loading and unloading management is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of cargo loading and unloading management systems, and in particular to an intelligent cargo loading and unloading management system and method for ships. Background Art

[0002] With the development of global trade and the prosperity of the shipping industry, the efficiency and quality of ship cargo loading and unloading management are crucial to the logistics supply chain. However, traditional methods have many shortcomings and are difficult to adapt to modern needs.

[0003] Traditional cargo information collection relies on manual recording and simple scanning equipment, which is prone to errors and has limited accuracy. There is a lack of systematic means to identify and mark the special attributes of cargo, which affects the safety and accurate management of cargo. At the same time, data storage and transmission are scattered and chaotic, making it difficult to track and dynamically manage in real time, resulting in low operating efficiency and delayed decision-making.

[0004] Most loading and unloading equipment is operated manually on-site, and operates independently without coordination. It requires high skills and experience from operators, is prone to mistakes, and is difficult to coordinate accurately with other equipment, affecting the continuity of operations. Equipment control lacks real-time monitoring and data analysis, and cannot detect faults and abnormal energy consumption in time, resulting in high maintenance costs. When multiple devices are operating, resource competition and conflicts are prone to occur due to the lack of collaborative scheduling algorithms, resulting in chaotic operation processes and low efficiency.

[0005] The space management of the cabin is planned and stacked based on manual experience, without fully considering the characteristics of the cargo and the ship, which can easily lead to space waste and unreasonable stacking. The lack of real-time space monitoring and dynamic adjustment capabilities makes it difficult to optimize the stacking of cargo in and out in a timely manner, affecting subsequent operations and ship stability.

[0006] Task scheduling relies on manual planning and experience judgment, which makes it difficult to grasp overall information and real-time updates, which can easily lead to unreasonable task arrangements, waste of resources or congestion, and difficulty in rapid adjustment in the event of emergencies, affecting the ship's departure time and operating costs. Task execution progress relies on manual record reporting, lacks real-time tracking and monitoring, and is difficult to effectively evaluate operational efficiency and quality.

[0007] Safety management mainly relies on manual patrols and limited equipment monitoring, which has limited coverage and accuracy, making it difficult to detect potential safety hazards in a timely manner. After a safety accident occurs, the emergency response mechanism is slow to respond, lacks accurate assessment and decision-making support, and it is difficult to quickly take effective measures to reduce losses. Long-term safety risks such as poor ventilation and aging equipment lack effective monitoring and early warning, threatening operational safety.

[0008] In traditional management, data is scattered and collection relies on manual records and simple reports, which are not accurate and timely. Lack of advanced analytical tools and technologies makes it impossible to mine the value of data, and management decisions lack scientific basis, which can easily lead to mistakes and affect the efficiency and competitiveness of loading and unloading management.

[0009] In summary, the traditional ship cargo loading and unloading management methods have obvious deficiencies in all aspects and cannot meet the requirements of efficient, safe and intelligent development of the modern shipping industry. The development of intelligent systems and methods, the use of advanced technologies to solve problems, and the improvement of management level and efficiency have important practical significance and application value. Summary of the invention

[0010] The intelligent ship cargo loading and unloading management system and method proposed in the present invention are designed to solve the problems mentioned in the above-mentioned prior art.

[0011] In order to achieve the above object, the present invention adopts the following technical solution: a ship intelligent cargo loading and unloading management system, comprising the following components:

[0012] Cargo information collection module: equipped with high-precision scanning equipment and sensors, it can quickly and accurately read the barcode, QR code or electronic tag information on the goods, and obtain the name, specification, weight, and batch details of the goods.

[0013] It has a weight measurement function. By connecting to the high-precision weighing sensor installed on the ship deck, it can measure the actual weight of the cargo in real time and compare it with the cargo label information to ensure the accuracy of the cargo information.

[0014] For special goods, such as fragile goods and dangerous goods, their special properties can be detected by sensors, marked in the cargo information, and the corresponding safety handling mechanism can be triggered.

[0015] Loading and unloading equipment control module: communicates with the ship's loading and unloading equipment (such as cranes, conveyor belts, forklifts), and can remotely control the start, stop, running speed and direction of the loading and unloading equipment.

[0016] It has the function of setting up automatic loading and unloading procedures, which can automatically generate the optimal loading and unloading equipment operation process and parameter settings according to the type, weight, and loading and unloading location information of the goods, thereby improving loading and unloading efficiency and safety.

[0017] It can monitor the operating status of loading and unloading equipment in real time, including the equipment's operating current, voltage, temperature, and speed parameters. When the equipment is abnormal, it will issue an alarm in time and automatically take emergency measures such as shutting down or adjusting operations to ensure the safety of equipment and goods. Introducing the energy consumption evaluation formula for loading and unloading equipment: Where E equip represents the energy consumption of loading and unloading equipment, n is the number of types of loading and unloading equipment, P i is the power of the i-th type of loading and unloading equipment, t i is the operating time of the i-th loading and unloading equipment. This formula can be used to monitor and evaluate the energy consumption of loading and unloading equipment in real time, so as to optimize the operating parameters of the equipment and reduce energy consumption costs.

[0018] Cabin space management module: Use 3D modeling technology and sensor networks to model and monitor the internal space of the ship's cabin in real time, and obtain information on the space size, shape, and cargo stacking conditions of each area in the cabin.

[0019] According to the size and weight information of the cargo, combined with the spatial layout and structural characteristics of the cabin, the stacking location and method of the cargo are intelligently planned to ensure the rational use of the cabin space and the stability of the cargo.

[0020] During the cargo loading and unloading process, the position changes of cargo in the cabin are tracked in real time, and the cabin space model is updated to provide accurate space information for subsequent loading and unloading operations and cargo management. The cabin space utilization evaluation formula is introduced: Where U represents the cabin space utilization rate, V occupied is the volume of the occupied cabin space, V total is the total volume of the cabin. This formula can be used to evaluate the utilization of cabin space in real time, so as to adjust the cargo stacking strategy in time and improve space utilization.

[0021] Task scheduling and management module: Receive cargo loading and unloading task information, including cargo type, quantity, and loading and unloading time requirements, and reasonably arrange the order and priority of loading and unloading tasks based on the current operating conditions of the ship, the availability of loading and unloading equipment, and the cabin space conditions.

[0022] Track and manage loading and unloading tasks in real time, record the execution progress, completion status and related data of the tasks, such as loading and unloading time and cargo throughput, so as to conduct statistical analysis and performance evaluation of loading and unloading operations.

[0023] It has a task conflict resolution mechanism. When there is resource competition or time conflict between multiple loading and unloading tasks, it can automatically adjust the task schedule to ensure the smooth progress of loading and unloading operations and optimize the overall operation efficiency. The task priority evaluation formula is introduced:

[0024] P = α × T urgency +β×W importance +γ×R resource , where P represents the priority of the task, α, β, γ are weight coefficients, and T urgency is the urgency of the task (determined by loading and unloading time requirements), W importance is the importance of the goods (e.g. dangerous goods and valuables have a higher importance), R resource It is the scarcity of resources required for the task (based on the availability of equipment and human resources). This formula can be used to scientifically determine the priority of loading and unloading tasks, reasonably allocate resources, and improve work efficiency.

[0025] Data analysis and decision support module: collects and stores various data during the cargo loading and unloading process, including cargo information, loading and unloading equipment operation data, cabin space usage, task execution records, and establishes a big data warehouse.

[0026] Use data analysis algorithms and models to conduct in-depth mining and analysis of stored data, generate various reports and charts, such as cargo loading and unloading efficiency analysis reports, equipment failure rate statistics, and cabin space utilization trends, to provide data support for management decisions.

[0027] Through data analysis, we can predict cargo loading and unloading demands and trends, formulate resource allocation plans and emergency plans in advance, optimize ship operation management, and improve overall economic benefits.

[0028] Security monitoring and early warning module: multiple high-definition cameras and sensors are installed to conduct all-round real-time monitoring of the cargo loading and unloading area, including the ship deck, the working area of ​​the loading and unloading equipment, and key areas of the cabin entrance.

[0029] Using image recognition technology and intelligent analysis algorithms, safety hazards in the loading and unloading process are monitored in real time, such as falling goods, illegal operations by personnel, and equipment collisions. When an abnormal situation is found, an alarm is immediately issued and relevant personnel are notified to handle it.

[0030] It has the function of detecting and warning of fire and leakage emergencies. By installing smoke sensors and gas sensor equipment, it monitors environmental parameters in real time. Once an abnormality is detected, the corresponding emergency disposal measures are quickly initiated to ensure the safety of personnel and goods.

[0031] Human-computer interaction interface module: provides an intuitive and easy-to-use human-computer interaction interface to display various system information and operation options, including cargo information, loading and unloading task list, equipment operation status, and cabin space layout.

[0032] Operators can enter, query and modify loading and unloading tasks through the human-computer interaction interface, manually control and adjust parameters of loading and unloading equipment, and view the system's alarm information and processing history.

[0033] It supports multiple input methods, such as touch screen operation, keyboard input, and voice command, which is convenient for operators to use in different working environments and improves the system's operational convenience and work efficiency.

[0034] Furthermore, the present invention also includes the following modules:

[0035] Intelligent path planning module: Combine the structural layout of the ship and the motion characteristics of the loading and unloading equipment to plan the optimal motion path for the loading and unloading equipment. Considering the width of the passage in the cabin, the height limit and the cargo stacking situation, the path search algorithm, such as the A* algorithm or the Dijkstra algorithm, is used to calculate the shortest path from the starting position to the target position without the risk of collision. The path smoothness evaluation index is introduced, and the formula To measure the smoothness of the path, S represents the path smoothness, N is the number of points on the path, (x i ,y i ) is the coordinate of the i-th point on the path. The higher the path smoothness, the more stable the operation of the loading and unloading equipment, reducing equipment wear and energy consumption, while improving cargo loading and unloading efficiency.

[0036] Environmental monitoring and control module: Real-time monitoring of environmental parameters in the cargo loading and unloading area of ​​the ship, including temperature, humidity, and light intensity. For some goods that have special requirements for environmental conditions, such as goods that are easily affected by moisture or goods that need to be stored at a specific temperature, the environmental conditions are automatically adjusted according to the monitoring data. For example, when the humidity exceeds the set threshold, the dehumidification equipment is started; when the temperature is too high or too low, the ventilation system or heating / cooling equipment is adjusted. Introduce the environmental comfort evaluation formula: Where C represents the environmental comfort, λ1, λ2, λ3 are weight coefficients, T deυ is the degree to which the temperature deviates from the set value, H deυ is the degree to which the humidity deviates from the set value, L deυ It is the degree to which the light intensity deviates from the set value. This formula is used to comprehensively evaluate the environmental comfort and ensure that the goods are loaded, unloaded and stored in a suitable environment.

[0037] Energy management module: monitors and manages various energy consumption involved in the ship intelligent cargo loading and unloading management system, including electricity and fuel. Formulates energy optimization strategies by analyzing the energy consumption data, operating time and energy requirements of loading and unloading equipment in different mission scenarios. For example, during non-peak loading and unloading periods, automatically adjust the operating power of the equipment or enter low-energy mode; intelligently control the brightness and opening time of the lighting system according to the lighting requirements of the cabin. Introduces the energy efficiency evaluation formula: Where η represents energy efficiency, E output is the amount of energy effectively used by the system (such as the actual energy consumption used to complete cargo loading and unloading tasks), E input It is the total amount of energy input into the system. Through this formula, the energy utilization efficiency of the system is evaluated, and the energy management strategy is continuously optimized to reduce energy costs and achieve energy conservation and emission reduction goals.

[0038] Furthermore, the cabin space utilization rate is not less than 80%. Through intelligent space management and cargo stacking optimization algorithm, the rational utilization of cabin space is achieved and the cargo transportation capacity of the ship is improved.

[0039] Furthermore, the accuracy rate of cargo loading and unloading reaches more than 99.9%. Through precise cargo information collection, automated loading and unloading equipment control and strict quality verification mechanism, it is ensured that there is no wrong loading or missing loading during the cargo loading and unloading process.

[0040] Furthermore, the system has good scalability and compatibility, and can be seamlessly connected and integrated with ship loading and unloading equipment, sensors and other related systems of different models and specifications to meet the needs of cargo loading and unloading operations of ships of different sizes and types.

[0041] Furthermore, a method for managing intelligent cargo loading and unloading of a ship comprises the following steps:

[0042] Cargo information collection steps: The cargo information collection module uses code scanning devices and sensors to read cargo identification information and measure cargo weight and special properties. The collected cargo information is integrated and verified to ensure the accuracy and completeness of the information. The cargo information is then transmitted to the data analysis and decision support module for storage and analysis.

[0043] Loading and unloading task planning steps: The task scheduling and management module receives cargo loading and unloading task information, combines the current operating conditions of the ship, the status of the loading and unloading equipment, and the cabin space conditions, uses intelligent algorithms to plan the order and path of the loading and unloading tasks, generates the optimal loading and unloading plan, and sends the loading and unloading plan to the loading and unloading equipment control module and the human-computer interaction interface module for display and execution.

[0044] Loading and unloading equipment control steps: The loading and unloading equipment control module remotely controls the operation of the loading and unloading equipment according to the received loading and unloading plan, performs cargo loading and unloading operations according to the predetermined process and parameters, and monitors the operating status of the loading and unloading equipment in real time. The equipment operation data is fed back to the data analysis and decision support module for analysis and processing. When the equipment has an abnormality, the corresponding emergency measures are automatically taken to deal with it.

[0045] Cabin space management steps: The cabin space management module uses 3D modeling technology and sensors to monitor the space conditions in the cabin in real time. According to cargo information and loading and unloading task planning, it intelligently arranges the stacking location and method of cargo. During the cargo loading and unloading process, it tracks the position changes of cargo in real time, updates the cabin space model, and ensures the rational use of cabin space and the safe stacking of cargo.

[0046] Safety monitoring and early warning steps: The safety monitoring and early warning module uses cameras and sensors to conduct all-round real-time monitoring of the cargo loading and unloading area, and uses image recognition and intelligent analysis technology to detect safety hazards and abnormal situations during the loading and unloading operation. When problems are found, alarms are issued in time and relevant personnel are notified to deal with them. At the same time, the corresponding emergency response plan is initiated to ensure the safety of cargo loading and unloading operations.

[0047] Data analysis and decision support steps: The data analysis and decision support module collects and organizes various data in the cargo loading and unloading process, uses data analysis methods to mine and analyze the data, generates various reports and analysis results, provides data basis for management decisions, predicts cargo loading and unloading needs and trends through data analysis, optimizes resource allocation and operation processes, and improves the efficiency and benefits of ship cargo loading and unloading management.

[0048] Human-computer interaction operation steps: The operator can view the system information and operation prompts in real time through the human-computer interaction interface module, enter, query and adjust the loading and unloading tasks, manually control and set parameters of the loading and unloading equipment, and handle the system's alarm information and view historical records, so as to achieve the coordinated work of human-computer interaction and system automation operation, and improve the flexibility and convenience of cargo loading and unloading management.

[0049] Furthermore, the method further comprises the following steps:

[0050] Equipment maintenance management steps: According to the loading and unloading equipment operation data and fault analysis reports provided by the data analysis and decision support module, formulate an equipment maintenance plan, regularly maintain and repair the loading and unloading equipment to ensure the normal operation of the equipment, extend the service life of the equipment, reduce the equipment failure rate, and improve the reliability and continuity of cargo loading and unloading operations.

[0051] Performance evaluation and optimization steps: Through statistical analysis of the execution of cargo loading and unloading tasks, the efficiency and quality of loading and unloading operations are evaluated. According to the evaluation results, existing problems and deficiencies are found, improvement measures and optimization plans are proposed, and the system parameter settings and algorithms are adjusted and optimized to continuously improve the performance and operation effect of the ship intelligent cargo loading and unloading management system.

[0052] Emergency handling and recovery steps: Develop a comprehensive emergency plan. When encountering emergencies (such as fire, serious equipment failure, and bad weather), the emergency handling mechanism can be quickly activated and effective measures can be taken to respond to ensure the safety of personnel and goods. After the emergency situation is handled, the system can automatically recover and rebuild to ensure that cargo loading and unloading operations resume normal operation as soon as possible.

[0053] Furthermore, in the cargo loading and unloading task planning step, the loading and unloading efficiency evaluation formula is introduced: Where E represents loading and unloading efficiency, W is the cargo loading and unloading volume (unit: tons), T is the time used to complete the loading and unloading task (unit: hours), and K is the correction coefficient. Considering the impact of cargo type and loading and unloading equipment performance factors on loading and unloading efficiency, the efficiency of different loading and unloading schemes is evaluated through this formula, and the optimal loading and unloading scheme is selected to improve the overall loading and unloading efficiency.

[0054] Compared with the prior art, the present invention has the following beneficial effects:

[0055] The present invention uses a high-precision cargo information collection module to accurately obtain comprehensive cargo information, reduce manual recording errors and incomplete information, improve the accuracy and safety of cargo management, and effectively reduce the risks of misloading, missing loading and cargo damage.

[0056] The automation and intelligent functions of the loading and unloading equipment control module realize remote and precise control of loading and unloading equipment, improve operational efficiency and coordination, and reduce manual operation errors. At the same time, real-time monitoring of equipment operating status and energy consumption helps to optimize equipment operating parameters, reduce energy consumption and maintenance costs, and ensure the continuity and stability of loading and unloading operations.

[0057] The cabin space management module uses advanced technology to achieve scientific planning and real-time dynamic management of cabin space, improve cabin space utilization, and increase the cargo carrying capacity of the ship. Reasonable cargo stacking also improves the stability and safety of the ship.

[0058] The task scheduling and management module takes into account a variety of factors, realizes scientific and reasonable task arrangement and real-time tracking and adjustment, improves operational efficiency, reduces resource waste and operational delays, ensures that ships leave the port on time, and improves operational benefits.

[0059] The safety monitoring and early warning module monitors the loading and unloading area in all directions and in real time, promptly discovers and warns of potential safety hazards, and improves the ability to prevent accidents. When an accident occurs, the rapid response emergency disposal mechanism can effectively reduce losses and ensure the safety of personnel and goods.

[0060] The data analysis and decision support module effectively integrates and analyzes large amounts of data, provides a scientific basis for management decisions, helps optimize loading and unloading processes, resource allocation, etc., further improves the overall efficiency and quality of ship cargo loading and unloading management, and enhances the competitiveness of the enterprise. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] Figure 1 This is a schematic block diagram of the intelligent ship cargo loading and unloading management system and method proposed by the present invention. DETAILED DESCRIPTION

[0062] 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.

[0063] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise" and "counterclockwise" indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as limiting the present invention.

[0064] In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, the meaning of "multiple" is two or more, unless otherwise clearly and specifically defined. In addition, the terms "installed", "connected" and "connected" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, and it can be the internal connection of two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances. The present invention will be further described in detail below in conjunction with the accompanying drawings.

[0065] Reference Figure 1 :A ship intelligent cargo loading and unloading management system, including the following components:

[0066] Cargo information collection module: equipped with high-precision scanning equipment and sensors, it can quickly and accurately read the barcode, QR code or electronic tag information on the goods, and obtain the name, specification, weight, and batch details of the goods.

[0067] It has a weight measurement function. By connecting to the high-precision weighing sensor installed on the ship deck, it can measure the actual weight of the cargo in real time and compare it with the cargo label information to ensure the accuracy of the cargo information.

[0068] For special goods, such as fragile goods and dangerous goods, their special properties can be detected by sensors, marked in the cargo information, and the corresponding safety handling mechanism can be triggered.

[0069] Loading and unloading equipment control module: communicates with the ship's loading and unloading equipment (such as cranes, conveyor belts, forklifts), and can remotely control the start, stop, running speed and direction of the loading and unloading equipment.

[0070] It has the function of setting up automatic loading and unloading procedures, which can automatically generate the optimal loading and unloading equipment operation process and parameter settings according to the type, weight, and loading and unloading location information of the goods, thereby improving loading and unloading efficiency and safety.

[0071] It can monitor the operating status of loading and unloading equipment in real time, including the equipment's operating current, voltage, temperature, and speed parameters. When the equipment is abnormal, it will issue an alarm in time and automatically take emergency measures such as shutting down or adjusting operations to ensure the safety of equipment and goods. Introducing the energy consumption evaluation formula for loading and unloading equipment: Where E equip represents the energy consumption of loading and unloading equipment, n is the number of types of loading and unloading equipment, P i is the power of the i-th type of loading and unloading equipment, t i is the operating time of the i-th loading and unloading equipment. This formula can be used to monitor and evaluate the energy consumption of loading and unloading equipment in real time, so as to optimize the operating parameters of the equipment and reduce energy consumption costs.

[0072] Cabin space management module: Use 3D modeling technology and sensor networks to model and monitor the internal space of the ship's cabin in real time, and obtain information on the space size, shape, and cargo stacking conditions of each area in the cabin.

[0073] According to the size and weight information of the cargo, combined with the spatial layout and structural characteristics of the cabin, the stacking location and method of the cargo are intelligently planned to ensure the rational use of the cabin space and the stability of the cargo.

[0074] During the cargo loading and unloading process, the position changes of cargo in the cabin are tracked in real time, and the cabin space model is updated to provide accurate space information for subsequent loading and unloading operations and cargo management. The cabin space utilization evaluation formula is introduced: Where U represents the cabin space utilization rate, V occupied is the volume of the occupied cabin space, V total is the total volume of the cabin. This formula can be used to evaluate the utilization of cabin space in real time, so as to adjust the cargo stacking strategy in time and improve space utilization.

[0075] Task scheduling and management module: Receive cargo loading and unloading task information, including cargo type, quantity, and loading and unloading time requirements, and reasonably arrange the order and priority of loading and unloading tasks based on the current operating conditions of the ship, the availability of loading and unloading equipment, and the cabin space conditions.

[0076] Track and manage loading and unloading tasks in real time, record the execution progress, completion status and related data of the tasks, such as loading and unloading time and cargo throughput, so as to conduct statistical analysis and performance evaluation of loading and unloading operations.

[0077] It has a task conflict resolution mechanism. When there is resource competition or time conflict between multiple loading and unloading tasks, it can automatically adjust the task schedule to ensure the smooth progress of loading and unloading operations and optimize the overall operation efficiency. The task priority evaluation formula is introduced:

[0078] P = α × T urgency +β×W importance +γ×R resource , where P represents the priority of the task, α, β, γ are weight coefficients, and T urgency is the urgency of the task (determined by loading and unloading time requirements), W importance is the importance of the goods (e.g. dangerous goods and valuables have a higher importance), R resource It is the scarcity of resources required for the task (based on the availability of equipment and human resources). This formula can be used to scientifically determine the priority of loading and unloading tasks, reasonably allocate resources, and improve work efficiency.

[0079] Data analysis and decision support module: collects and stores various data during the cargo loading and unloading process, including cargo information, loading and unloading equipment operation data, cabin space usage, task execution records, and establishes a big data warehouse.

[0080] Use data analysis algorithms and models to conduct in-depth mining and analysis of stored data, generate various reports and charts, such as cargo loading and unloading efficiency analysis reports, equipment failure rate statistics, and cabin space utilization trends, to provide data support for management decisions.

[0081] Through data analysis, we can predict cargo loading and unloading demands and trends, formulate resource allocation plans and emergency plans in advance, optimize ship operation management, and improve overall economic benefits.

[0082] Security monitoring and early warning module: multiple high-definition cameras and sensors are installed to conduct all-round real-time monitoring of the cargo loading and unloading area, including the ship deck, the working area of ​​the loading and unloading equipment, and key areas of the cabin entrance.

[0083] Using image recognition technology and intelligent analysis algorithms, safety hazards in the loading and unloading process are monitored in real time, such as falling goods, illegal operations by personnel, and equipment collisions. When an abnormal situation is found, an alarm is immediately issued and relevant personnel are notified to handle it.

[0084] It has the function of detecting and warning of fire and leakage emergencies. By installing smoke sensors and gas sensor equipment, it monitors environmental parameters in real time. Once an abnormality is detected, the corresponding emergency disposal measures are quickly initiated to ensure the safety of personnel and goods.

[0085] Human-computer interaction interface module: provides an intuitive and easy-to-use human-computer interaction interface to display various system information and operation options, including cargo information, loading and unloading task list, equipment operation status, and cabin space layout.

[0086] Operators can enter, query and modify loading and unloading tasks through the human-computer interaction interface, manually control and adjust parameters of loading and unloading equipment, and view the system's alarm information and processing history.

[0087] It supports multiple input methods, such as touch screen operation, keyboard input, and voice command, which is convenient for operators to use in different working environments and improves the system's operational convenience and work efficiency.

[0088] Furthermore, the present invention also includes the following modules:

[0089] Intelligent path planning module: Combine the structural layout of the ship and the motion characteristics of the loading and unloading equipment to plan the optimal motion path for the loading and unloading equipment. Considering the width of the passage in the cabin, the height limit and the cargo stacking situation, the path search algorithm, such as the A* algorithm or the Dijkstra algorithm, is used to calculate the shortest path from the starting position to the target position without the risk of collision. The path smoothness evaluation index is introduced, and the formula To measure the smoothness of the path, S represents the path smoothness, N is the number of points on the path, (x i ,y i ) is the coordinate of the i-th point on the path. The higher the path smoothness, the more stable the operation of the loading and unloading equipment, reducing equipment wear and energy consumption, while improving cargo loading and unloading efficiency.

[0090] Environmental monitoring and control module: Real-time monitoring of environmental parameters in the cargo loading and unloading area of ​​the ship, including temperature, humidity, and light intensity. For some goods that have special requirements for environmental conditions, such as goods that are easily affected by moisture and goods that need to be stored at a specific temperature, the environmental conditions are automatically adjusted according to the monitoring data. For example, when the humidity exceeds the set threshold, the dehumidification equipment is started; when the temperature is too high or too low, the ventilation system or heating / cooling equipment is adjusted. Introduce the environmental comfort evaluation formula: C = λ1×T deυ +λ2×Hdeυ +λ3×L deυ , where C represents the environmental comfort, λ1, λ2, λ3 are weight coefficients, T deυ is the degree to which the temperature deviates from the set value, H deυ is the degree to which the humidity deviates from the set value, L deυ It is the degree to which the light intensity deviates from the set value. This formula is used to comprehensively evaluate the environmental comfort and ensure that the goods are loaded, unloaded and stored in a suitable environment.

[0091] Energy management module: monitors and manages various energy consumption involved in the ship intelligent cargo loading and unloading management system, including electricity and fuel. Formulates energy optimization strategies by analyzing the energy consumption data, operating time and energy requirements of loading and unloading equipment in different mission scenarios. For example, during non-peak loading and unloading periods, automatically adjust the operating power of the equipment or enter low-energy mode; intelligently control the brightness and opening time of the lighting system according to the lighting requirements of the cabin. Introduces the energy efficiency evaluation formula: Where η represents energy efficiency, E output is the amount of energy effectively used by the system (such as the actual energy consumption used to complete cargo loading and unloading tasks), E input It is the total amount of energy input into the system. Through this formula, the energy utilization efficiency of the system is evaluated, and the energy management strategy is continuously optimized to reduce energy costs and achieve energy conservation and emission reduction goals.

[0092] Furthermore, the cabin space utilization rate is not less than 80%. Through intelligent space management and cargo stacking optimization algorithm, the rational utilization of cabin space is achieved and the cargo transportation capacity of the ship is improved.

[0093] Furthermore, the accuracy rate of cargo loading and unloading reaches more than 99.9%. Through precise cargo information collection, automated loading and unloading equipment control and strict quality verification mechanism, it is ensured that there is no wrong loading or missing loading during the cargo loading and unloading process.

[0094] Furthermore, the system has good scalability and compatibility, and can be seamlessly connected and integrated with ship loading and unloading equipment, sensors and other related systems of different models and specifications to meet the needs of cargo loading and unloading operations of ships of different sizes and types.

[0095] Furthermore, a method for managing intelligent cargo loading and unloading of a ship comprises the following steps:

[0096] Cargo information collection steps: The cargo information collection module uses code scanning devices and sensors to read cargo identification information and measure cargo weight and special properties. The collected cargo information is integrated and verified to ensure the accuracy and completeness of the information. The cargo information is then transmitted to the data analysis and decision support module for storage and analysis.

[0097] Loading and unloading task planning steps: The task scheduling and management module receives cargo loading and unloading task information, combines the current operating conditions of the ship, the status of the loading and unloading equipment, and the cabin space conditions, uses intelligent algorithms to plan the order and path of the loading and unloading tasks, generates the optimal loading and unloading plan, and sends the loading and unloading plan to the loading and unloading equipment control module and the human-computer interaction interface module for display and execution.

[0098] Loading and unloading equipment control steps: The loading and unloading equipment control module remotely controls the operation of the loading and unloading equipment according to the received loading and unloading plan, performs cargo loading and unloading operations according to the predetermined process and parameters, and monitors the operating status of the loading and unloading equipment in real time. The equipment operation data is fed back to the data analysis and decision support module for analysis and processing. When the equipment has an abnormality, the corresponding emergency measures are automatically taken to deal with it.

[0099] Cabin space management steps: The cabin space management module uses 3D modeling technology and sensors to monitor the space conditions in the cabin in real time. According to cargo information and loading and unloading task planning, it intelligently arranges the stacking location and method of cargo. During the cargo loading and unloading process, it tracks the position changes of cargo in real time, updates the cabin space model, and ensures the rational use of cabin space and the safe stacking of cargo.

[0100] Safety monitoring and early warning steps: The safety monitoring and early warning module uses cameras and sensors to conduct all-round real-time monitoring of the cargo loading and unloading area, and uses image recognition and intelligent analysis technology to detect safety hazards and abnormal situations during the loading and unloading operation. When problems are found, alarms are issued in time and relevant personnel are notified to deal with them. At the same time, the corresponding emergency response plan is initiated to ensure the safety of cargo loading and unloading operations.

[0101] Data analysis and decision support steps: The data analysis and decision support module collects and organizes various data in the cargo loading and unloading process, uses data analysis methods to mine and analyze the data, generates various reports and analysis results, provides data basis for management decisions, predicts cargo loading and unloading needs and trends through data analysis, optimizes resource allocation and operation processes, and improves the efficiency and benefits of ship cargo loading and unloading management.

[0102] Human-computer interaction operation steps: The operator can view the system information and operation prompts in real time through the human-computer interaction interface module, enter, query and adjust the loading and unloading tasks, manually control and set parameters of the loading and unloading equipment, and handle the system's alarm information and view historical records, so as to achieve the coordinated work of human-computer interaction and system automation operation, and improve the flexibility and convenience of cargo loading and unloading management.

[0103] Furthermore, the method further comprises the following steps:

[0104] Equipment maintenance management steps: According to the loading and unloading equipment operation data and fault analysis reports provided by the data analysis and decision support module, formulate an equipment maintenance plan, regularly maintain and repair the loading and unloading equipment to ensure the normal operation of the equipment, extend the service life of the equipment, reduce the equipment failure rate, and improve the reliability and continuity of cargo loading and unloading operations.

[0105] Performance evaluation and optimization steps: Through statistical analysis of the execution of cargo loading and unloading tasks, the efficiency and quality of loading and unloading operations are evaluated. According to the evaluation results, existing problems and deficiencies are found, improvement measures and optimization plans are proposed, and the system parameter settings and algorithms are adjusted and optimized to continuously improve the performance and operation effect of the ship intelligent cargo loading and unloading management system.

[0106] Emergency handling and recovery steps: Develop a comprehensive emergency plan. When encountering emergencies (such as fire, serious equipment failure, and bad weather), the emergency handling mechanism can be quickly activated and effective measures can be taken to respond to ensure the safety of personnel and goods. After the emergency situation is handled, the system can automatically recover and rebuild to ensure that cargo loading and unloading operations resume normal operation as soon as possible.

[0107] Furthermore, in the cargo loading and unloading task planning step, the loading and unloading efficiency evaluation formula is introduced: Where E represents loading and unloading efficiency, W is the cargo loading and unloading volume (unit: tons), T is the time used to complete the loading and unloading task (unit: hours), and K is the correction coefficient. Considering the impact of cargo type and loading and unloading equipment performance factors on loading and unloading efficiency, the efficiency of different loading and unloading schemes is evaluated through this formula, and the optimal loading and unloading scheme is selected to improve the overall loading and unloading efficiency.

[0108] Compared with the prior art, the present invention has the following beneficial effects:

[0109] The present invention uses a high-precision cargo information collection module to accurately obtain comprehensive cargo information, reduce manual recording errors and incomplete information, improve the accuracy and safety of cargo management, and effectively reduce the risks of misloading, missing loading and cargo damage.

[0110] The automation and intelligent functions of the loading and unloading equipment control module realize remote and precise control of loading and unloading equipment, improve operational efficiency and coordination, and reduce manual operation errors. At the same time, real-time monitoring of equipment operating status and energy consumption helps to optimize equipment operating parameters, reduce energy consumption and maintenance costs, and ensure the continuity and stability of loading and unloading operations.

[0111] The cabin space management module uses advanced technology to achieve scientific planning and real-time dynamic management of cabin space, improve cabin space utilization, and increase the cargo carrying capacity of the ship. Reasonable cargo stacking also improves the stability and safety of the ship.

[0112] The task scheduling and management module takes into account a variety of factors, realizes scientific and reasonable task arrangement and real-time tracking and adjustment, improves operational efficiency, reduces resource waste and operational delays, ensures that ships leave the port on time, and improves operational benefits.

[0113] The safety monitoring and early warning module monitors the loading and unloading area in all directions and in real time, promptly discovers and warns of potential safety hazards, and improves the ability to prevent accidents. When an accident occurs, the rapid response emergency disposal mechanism can effectively reduce losses and ensure the safety of personnel and goods.

[0114] The data analysis and decision support module effectively integrates and analyzes large amounts of data, provides a scientific basis for management decisions, helps optimize loading and unloading processes, resource allocation, etc., further improves the overall efficiency and quality of ship cargo loading and unloading management, and enhances the competitiveness of the enterprise.

[0115] The above are only preferred specific implementation modes of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can replace or change the technical solution and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. An intelligent cargo loading and unloading management system for ships, characterized in that: It includes the following components: Cargo information collection module: equipped with scanning equipment and sensors to read the barcode, QR code or electronic tag information on the cargo to obtain the name, specification, weight and batch details of the cargo; It has the function of weight measurement. It connects to the weighing sensor installed on the ship deck to measure the actual weight of the cargo in real time and compares it with the cargo label information. For fragile and dangerous goods, sensors are used to detect their special properties and mark them in the cargo information; Loading and unloading equipment control module: communicates with the ship's loading and unloading equipment, including cranes, conveyor belts and forklifts, and remotely controls the start, stop, speed and direction of the loading and unloading equipment; It has the function of setting up automatic loading and unloading procedures. It can automatically generate the operation process and parameter settings of loading and unloading equipment according to the type, weight and loading and unloading location information of the goods. It can monitor the operation status of the loading and unloading equipment in real time, including the working current, voltage, temperature and speed parameters of the equipment. When the equipment is abnormal, it will issue an alarm in time and automatically take emergency measures such as shutting down or adjusting the operation. It also introduces the energy consumption evaluation formula of loading and unloading equipment: Where E equip represents the energy consumption of loading and unloading equipment, n is the number of types of loading and unloading equipment, P i is the power of the i-th type of loading and unloading equipment, t i is the operating time of the i-th type of loading and unloading equipment; Cabin space management module: Use 3D modeling technology and sensor networks to model and monitor the interior space of the ship's cabin in real time, and obtain information on the size, shape, and cargo stacking of each area in the cabin; During the cargo loading and unloading process, the position changes of cargo in the cabin are tracked in real time, the cabin space model is updated, and space information is provided for subsequent loading and unloading operations and cargo management. The cabin space utilization evaluation formula is introduced: Where U represents the cabin space utilization rate, V occupied is the volume of the occupied cabin space, V total is the total volume of the cabin; Task scheduling and management module: Receive cargo loading and unloading task information, including cargo type, quantity, and loading and unloading time requirements; track and manage loading and unloading tasks in real time according to the current operation status of the ship, the availability of loading and unloading equipment, and the cabin space status; and record the execution progress, completion status, and related data of the tasks; It has a task conflict resolution mechanism. When there is resource competition or time conflict between loading and unloading tasks, it automatically adjusts the task arrangement to ensure the smooth progress of loading and unloading operations, while optimizing the overall operation efficiency. The task priority evaluation formula is introduced: P = α × T urgency +β×W importance +γ×R resource , where P represents the priority of the task, α, β, γ are weight coefficients, and T urgency is the urgency of the task, W importance is the importance of the goods, R resource is the scarcity of the resources required for the task; Data analysis and decision support module: collects and stores data during cargo loading and unloading, including cargo information, loading and unloading equipment operation data, cabin space usage, task execution records, and establishes a big data warehouse; Use data analysis algorithms and models to conduct in-depth mining and analysis of stored data and generate various reports and charts; Safety monitoring and early warning module: Install cameras and sensors to conduct all-round real-time monitoring of the cargo loading and unloading area, including the ship deck, the working area of ​​the loading and unloading equipment, and the key parts of the cabin entrance. Use image recognition technology and intelligent analysis algorithms to monitor the safety hazards in the loading and unloading process in real time, including cargo falling, personnel illegal operation, and equipment collision. When an abnormal situation is found, an alarm is immediately issued and personnel are notified to handle it; It has the function of detecting and warning fire and leakage emergencies. By installing smoke sensors and gas sensor equipment, it monitors environmental parameters in real time. Once an abnormality is detected, it quickly initiates corresponding emergency response measures to ensure the safety of personnel and goods. Human-computer interaction interface module: provides a human-computer interaction interface to display various information and operation options of the system, including cargo information, loading and unloading task list, equipment operation status, cabin space layout, and supports touch screen operation, keyboard input, and voice command input.

2. The intelligent cargo handling management system for ships according to claim 1, characterized in that: Also includes the following modules: Intelligent path planning module: Combine the structural layout of the ship and the movement characteristics of the loading and unloading equipment to plan the optimal movement path for the loading and unloading equipment. Use the path search algorithm, including the A* algorithm or the Dijkstra algorithm, to calculate the shortest path from the starting position to the target position without the risk of collision. Introduce the path smoothness evaluation index and use the formula To measure the smoothness of the path, S represents the path smoothness, N is the number of points on the path, (x i ,y i ) is the coordinate of the i-th point on the path. The higher the path smoothness, the more stable the operation of the loading and unloading equipment, reducing equipment wear and energy consumption, and improving cargo loading and unloading efficiency; Environmental monitoring and control module: Real-time monitoring of environmental parameters in the cargo loading and unloading area of ​​the ship, including temperature, humidity, and light intensity. For goods that are susceptible to moisture or need to be stored at a specific temperature, the environmental conditions are automatically adjusted based on the monitoring data. When the humidity exceeds the set threshold, the dehumidification equipment is started; when the temperature is too high or too low, the ventilation system or heating / cooling equipment is adjusted. The environmental comfort evaluation formula is introduced: C = λ1×T dev +λ2×H dev +λ3×L dev , where C represents the environmental comfort, λ1, λ2, λ3 are weight coefficients, T dev is the degree to which the temperature deviates from the set value, H dev is the degree to which the humidity deviates from the set value, L dev It is the degree to which the light intensity deviates from the set value; Energy management module: monitors and manages various energy consumption involved in the ship intelligent cargo loading and unloading management system, including electricity and fuel. Formulates energy optimization strategies by analyzing the energy consumption data, operating time and energy requirements of loading and unloading equipment in different mission scenarios. During non-peak loading and unloading periods, automatically adjusts the operating power of the equipment or enters low-energy mode; intelligently controls the brightness and opening time of the lighting system according to the lighting requirements of the cabin. Introduces energy efficiency evaluation formula: Where η represents energy efficiency, E output is the amount of energy effectively utilized by the system, E input is the total amount of energy input to the system.

3. The intelligent cargo handling management system for ships according to claim 1, characterized in that: The cabin space utilization rate is no less than 80%. Through intelligent space management and cargo stacking optimization algorithm, the rational utilization of cabin space is achieved and the cargo transportation capacity of the ship is improved.

4. The intelligent cargo handling management system for ships according to claim 1, characterized in that: The accuracy rate of cargo loading and unloading reaches over 99.9%. Through precise cargo information collection, automated loading and unloading equipment control and strict quality verification mechanism, we ensure that there is no wrong loading or missing loading during the cargo loading and unloading process.

5. The intelligent cargo handling management system for ships according to claim 1, characterized in that: The system has good scalability and compatibility, and can be seamlessly connected and integrated with ship loading and unloading equipment, sensors and other related systems of different models and specifications to meet the needs of cargo loading and unloading operations of ships of different sizes and types.

6. A method for applying the intelligent cargo handling management system for ships according to any one of claims 1 to 5, characterized in that: The following steps are involved: S1. Cargo information collection: The cargo information collection module uses the code scanning device and sensor to read the cargo identification information and measure the cargo weight and special attributes, integrate and verify the collected cargo information, and transmit the cargo information to the data analysis and decision support module for storage and analysis; S2. Loading and unloading task planning: The task scheduling and management module receives cargo loading and unloading task information, and plans the order and path of loading and unloading tasks using intelligent algorithms in combination with the current operation status of the ship, the status of the loading and unloading equipment, and the cabin space status, and generates the optimal loading and unloading plan, and sends the loading and unloading plan to the loading and unloading equipment control module and the human-computer interaction interface module for display and execution; S3, loading and unloading equipment control step: The loading and unloading equipment control module remotely controls the operation of the loading and unloading equipment according to the received loading and unloading plan, performs cargo loading and unloading operations according to the predetermined process and parameters, and monitors the operation status of the loading and unloading equipment in real time, and feeds back the equipment operation data to the data analysis and decision support module for analysis and processing. When the equipment is abnormal, the corresponding emergency measures are automatically taken to deal with it; S4. Cabin space management: The cabin space management module uses 3D modeling technology and sensors to monitor the space conditions in the cabin in real time. It intelligently arranges the stacking location and method of cargo according to cargo information and loading and unloading task planning. During the cargo loading and unloading process, it tracks the location changes of cargo in real time and updates the cabin space model. S5. Safety monitoring and early warning: The safety monitoring and early warning module uses cameras and sensors to conduct all-round real-time monitoring of the cargo loading and unloading area, and uses image recognition and intelligent analysis technology to detect safety hazards and abnormal situations during loading and unloading operations. When problems are found, an alarm is issued in a timely manner and relevant personnel are notified to handle them, and the corresponding emergency response plan is initiated at the same time; S6. Data analysis and decision support: The data analysis and decision support module collects and organizes various data in the cargo loading and unloading process, uses data analysis methods to mine and analyze the data, generates various reports and analysis results, provides data basis for management decisions, predicts cargo loading and unloading needs and trends through data analysis, and optimizes resource allocation and operation processes; S7, Human-computer interaction operation: The operator can view the system information and operation prompts in real time through the human-computer interaction interface module, enter, query and adjust the loading and unloading tasks, manually control and set parameters of the loading and unloading equipment, handle the system alarm information and view historical records, so as to realize the collaborative work of human-computer interaction and system automation operation.

7. The method for intelligent cargo loading and unloading management of a ship according to claim 6, characterized in that: The following steps are also included: S8, Equipment maintenance management steps: According to the loading and unloading equipment operation data and fault analysis reports provided by the data analysis and decision support module, formulate equipment maintenance plans and perform maintenance and repairs on the loading and unloading equipment; S9. Performance evaluation and optimization: Through statistical analysis of the execution of cargo loading and unloading tasks, the efficiency and quality of loading and unloading operations are evaluated. According to the evaluation results, existing problems and deficiencies are found, improvement measures and optimization plans are proposed, and the parameter settings and algorithms of the system are adjusted and optimized, so as to continuously improve the performance and operation effect of the ship intelligent cargo loading and unloading management system; S10. Emergency response and recovery procedures: Develop emergency plans to quickly activate emergency response mechanisms when encountering fire, serious equipment failure, or severe weather.

8. The method for intelligent cargo loading and unloading management of a ship according to claim 6, characterized in that: In the cargo loading and unloading task planning step, the loading and unloading efficiency evaluation formula is introduced: Where E represents the loading and unloading efficiency, W is the cargo loading and unloading volume, T is the time taken to complete the loading and unloading task, and K is the correction coefficient.

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