Method and system for managing and controlling whole process of transportation of port automobiles

Abstract

The invention relates to the technical field of port logistics, and provides a port automobile collection and distribution whole-process management and control method and system, and the method comprises the steps: collecting the state information of an automobile, predicting the state preparation completion time, carrying out the time conflict judgment with a shipping sequence, and replacing and verifying a conflict automobile. Therefore, unified and foresight management and control of the whole process of harbor automobile collection and distribution are achieved, time conflicts and operation interruption caused by the vehicle state problem are effectively avoided, and the harbor operation efficiency and safety are improved.

Description

Technical Field

[0001] This application relates to the field of port logistics technology, specifically to a method and system for the whole process control of port vehicle collection and distribution. Background Technology

[0002] Currently, ports face numerous complex challenges in handling the large volume of import and export vehicles, especially in the loading of large roll-on / roll-off ships, where extremely stringent requirements are placed on the timeliness, continuity, and accuracy of ship stowage. For vehicle transport, the inherent time costs associated with a vehicle's special condition (such as low battery) from the moment it enters the port are not adequately understood and managed throughout the entire process. This leads to an irreconcilable conflict between this time cost and the strict stowage plan at the final loading stage, transforming a localized vehicle condition issue into a costly and systemic operational impasse.

[0003] To address the aforementioned issues, existing technologies urgently need improvement. Summary of the Invention

[0004] The purpose of this application is to provide a method and system for the whole process control of port vehicle collection and distribution, which has the advantages of enabling unified and forward-looking control of the whole process of port vehicle collection and distribution, effectively avoiding time conflicts and operation interruptions caused by vehicle status problems, and improving port operation efficiency and safety.

[0005] This application provides a method for the whole-process management and control of port vehicle collection and distribution, the technical solution of which is as follows: A method for full-process management and control of port vehicle collection and distribution, applied to a port's ship loading and unloading vehicle scenario; the method includes: Collect vehicle status information of vehicles to be transported, and determine the time for the vehicles to be ready for transport based on the vehicle status information and preset scenario information; vehicle status information includes the vehicle's remaining battery power or fuel level and / or the type of vehicle mechanical failure; preset scenario information includes the minimum battery power for loading and the power of the matching charging pile, the minimum fuel level for loading, and / or the queuing time at the maintenance bay. Obtain the loading sequence including the entry time of the vehicles to be transported, determine whether there is a time conflict based on the entry time and the status preparation completion time, and mark the vehicles to be transported as conflicting vehicles; the entry time is the time allocated to the vehicles to be transported to enter the ship in the loading and stowage plan. In response to time conflicts, conflicting vehicles are replaced according to preset rules; the safety of ship loading and the feasibility of internal shipboard routes after vehicle replacement are verified, and verification results are generated; the loading sequence is adjusted based on the verification results. Ships will load vehicles according to the adjusted loading sequence.

[0006] Optionally, securing points are provided on both the ship and the vehicle to be transported; In response to a time conflict, the conflicting vehicle is replaced according to preset rules, including: a compatibility assessment of the conflicting vehicle and the replacement vehicle according to preset rules; Compatibility assessments are performed on conflicting vehicles and replacement vehicles according to preset rules, including: Acquire the tethering point data of the replacement vehicle and the tethering point layout information of the target parking location to be replaced by the replacement vehicle; the tethering point data of the replacement vehicle includes the three-dimensional coordinate data of the standard tethering points on the vehicle chassis; the tethering point layout information includes the geometric layout information of the preset tethering points on the deck of the target parking location. Based on the anchorage point data and anchorage point layout information of the replacement vehicle, determine whether the replacement vehicle meets the standard anchorage configuration requirements at the target parking location. In response to the replacement vehicle not meeting the standard tethering requirements at the target parking location, compensatory tethering information is determined; The compensatory tethering scheme compensates for the tethering operation of the vehicle at the target parking position.

[0007] Optionally, in response to the replacement vehicle not meeting the standard tethering requirements at the target parking location, compensatory tethering information is determined, including: Compare the anchorage point data and anchorage point layout information of the replacement vehicle to determine the differences in anchorage conditions; Based on the differences in binding conditions, compensatory binding information is matched from the preset binding operation compensation scheme set.

[0008] Optionally, verify the safety of ship loading and the feasibility of internal cabin routes after the replacement of conflicting vehicles, and generate verification results, including: Acquire information about the ship's own status and external environment during the vehicle loading process; the ship's own status information includes fuel consumption and ballast water adjustment; the external environment information includes tidal conditions and wind force. Based on its own state information and external environment information, calculate the offset of the ship's center of gravity parameter and the offset of its stability parameter; Based on the adjusted loading sequence, center of gravity parameter offset, and stability parameter offset, the ship loading safety of the adjusted vehicle loading position is evaluated, and the ship loading safety assessment result is obtained. Based on the adjusted loading sequence, center of gravity parameter offset, and stability parameter offset, the feasibility of the vehicle movement path inside the ship's compartment is evaluated, and the path feasibility assessment results are obtained; the path feasibility assessment includes collision detection and clearance detection. Verification results are generated based on the ship loading safety assessment results and route feasibility assessment results.

[0009] Optionally, the preparation time for the vehicle to be transported is determined based on vehicle status information and preset scenario information, including: Based on the current vehicle status information of the vehicles waiting to be transported, and the pre-established mapping relationship between vehicle status information and status preparation time, the status preparation time of the current vehicles waiting to be transported is determined. Based on the status preparation time, determine the time when the status preparation of the vehicles to be transported will be completed.

[0010] Optionally, the completion time for the status preparation of the vehicles to be transported can be determined based on the status preparation duration, including: Based on the pre-established mapping relationship between vehicle status information and status preparation time, determine the status preparation activities and status preparation time of the vehicle to be transported; status preparation activities include charging, or refueling, and / or mechanical maintenance. Analyze the relationships between state preparation activities and obtain current port resource availability information; the relationship information includes parallelism, sequence, and dependency. Based on the status preparation activities, status preparation duration, the relationship between status preparation activities, and the current port resource availability information, determine the status preparation completion time for vehicles awaiting transport.

[0011] Optionally, the completion time for the status preparation of vehicles to be transported is determined based on status preparation activities, status preparation duration, relationships between status preparation activities, and current port resource availability information, including: Construct a queuing model with a pre-defined scheduling algorithm; the queuing model considers state preparation activities, state preparation duration, relationship information between state preparation activities, and current port resource availability information as constraints. Based on the queuing model, the timing planning and optimization of multiple state preparation activities are performed to meet all constraints. Based on the optimized timeline, the time for the vehicles to be transported to complete their preparation is determined.

[0012] Optionally, the ship may load vehicles according to the adjusted loading sequence, including: Real-time monitoring and acquisition of real-time status updates for vehicles awaiting transport; The real-time status update information is compared with the entry time of the vehicles waiting to be transported in the adjusted loading sequence to determine whether there is an actual status that does not match the adjusted loading sequence, or whether there is a new time conflict. If there is a discrepancy with the actual situation or a new time conflict occurs, the adjusted loading sequence will be locally optimized according to the preset response rules to obtain a locally optimized loading sequence. The preset response rules include prioritizing the adjustment of vehicles that are not ready to be placed and finding the nearest unloaded replacement vehicle. Ships are loaded with vehicles according to the locally optimized loading sequence.

[0013] Optionally, the vehicle status information includes external physical status information and internal operating status information; the external physical status information includes mechanical damage and tire wear; the internal operating status information includes the vehicle's remaining battery power or remaining fuel and / or the vehicle's engine operating status.

[0014] Optionally, this application also proposes a port vehicle collection and distribution full-process control system, applied to a port ship loading and unloading vehicle scenario; the system includes: The data acquisition module is used to collect vehicle status information of vehicles to be transported, and determine the time for the vehicles to be ready for transport based on the vehicle status information and preset scenario information. The vehicle status information includes the vehicle's remaining battery power or remaining fuel and / or the type of vehicle mechanical failure. The preset scenario information includes the minimum battery power for loading and the power of the matching charging pile, the minimum fuel for loading, and / or the queuing time at the maintenance bay. The conflict determination module is used to obtain the loading sequence including the entry time of the vehicles to be transported, determine whether there is a time conflict based on the entry time and the status preparation completion time, and mark the vehicles to be transported as conflicting vehicles; the entry time is the time allocated to the vehicles to be transported for entering the ship in the loading and stowage plan. The verification and adjustment module is used to respond to time conflicts by replacing conflicting vehicles according to preset rules; verifying the safety of ship loading and the feasibility of internal shipboard routes after the replacement of conflicting vehicles, generating verification results; and adjusting the loading sequence based on the verification results. The loading module is used to load vehicles onto ships according to the adjusted loading sequence.

[0015] As can be seen from the above, the port vehicle collection and distribution process control method and system provided in this application collects vehicle status information and predicts the time when the status is ready to be completed, judges the time conflict with the loading sequence, and replaces and verifies the conflicting vehicles, thereby realizing unified and forward-looking control of the entire port vehicle collection and distribution process, effectively avoiding time conflicts and operation interruptions caused by vehicle status problems, and improving port operation efficiency and safety. Attached Figure Description

[0016] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 This is a flowchart illustrating the steps of the port vehicle collection and distribution full-process control method disclosed in the embodiments of the present invention; Figure 2 This is a schematic diagram of the port vehicle collection and distribution full-process control system disclosed in the embodiments of the present invention. Detailed Implementation

[0018] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which these embodiments belong; the terminology used herein and in the specification of the application is for the purpose of describing particular embodiments only and is not intended to limit these embodiments; the terms "comprising" and "having," and any variations thereof, in the specification of these embodiments and the foregoing description of the accompanying drawings, are intended to cover non-exclusive inclusion. The terms "first," "second," etc., in the specification of these embodiments or the foregoing drawings are used to distinguish different objects, not to describe a particular order.

[0019] The implementation details of the technical solution in this embodiment are described in detail below: In the current technology, suppose a large international car transshipment port has a roll-on / roll-off (Ro-Ro) ship waiting to load thousands of export vehicles. The port's yard management system has generated precise loading sequence instructions based on the loading manifest. This instruction plans the path for vehicles to move from the yard to the ship, and integrates destination, vehicle weight, and size distribution to form a loading scheme aimed at adjusting the ship's center of gravity and stability, and ensuring efficient layered unloading. After the operation process starts, a pure electric SUV, scheduled to be loaded 12th, reports 15% remaining battery power on its onboard system. According to shipping safety protocols, all export electric vehicles must have between 40% and 60% battery power when loaded. Therefore, this vehicle is guided to the port's charging area for recharging. The port's vehicle management system and charging pile management system are independent business units. The vehicle management system records vehicle location changes, while the charging pile management system executes charging tasks and calculates the required time. However, the data interaction between these two business units is limited to status updates and does not perform time-related verification with future loading plans. When the on-site operations team calls for this electric SUV, the system reports that it is still in the charging area and the charging task has not yet been completed. At this moment, the loading site operation was forced to stop.

[0020] If this situation of process disruption and information isolation is not addressed, it will lead to a series of serious technical consequences.

[0021] Based on this, this application proposes a method for the whole-process management and control of port vehicle collection and distribution, applied to a port's ship loading and unloading vehicle scenario; such as Figure 1 As shown, the method includes: S101, collect vehicle status information of vehicles to be transported, and determine the time for the vehicles to be transported to complete their status preparation based on the vehicle status information and preset scenario information; vehicle status information includes the vehicle's remaining battery power or remaining fuel and / or the type of vehicle mechanical failure; preset scenario information includes the minimum battery power for loading and the power of the matching charging pile, the minimum fuel for loading, and / or the queuing time at the maintenance bay. S102, obtain the loading sequence including the entry time of the vehicles to be transported, determine whether there is a time conflict based on the entry time and the status preparation completion time, and mark the vehicles to be transported as conflicting vehicles; the entry time is the time allocated to the vehicles to be transported for entering the ship in the loading and stowage plan. S103, In response to the existence of a time conflict, replace the conflicting vehicle according to the preset rules; verify the safety of ship loading and the feasibility of the internal path of the ship after the conflicting vehicle replacement, and generate verification results; adjust the loading sequence according to the verification results. S104, Loading vehicles onto ships according to the adjusted loading sequence.

[0022] Vehicle status information refers to the various attribute data of a vehicle's current state that affect its subsequent operational preparation. This includes the vehicle's energy reserves, such as remaining battery power or fuel, and its operational health, such as the type of mechanical fault. This information is primarily used to obtain the necessary preparation activities and time required before the vehicle enters the ship, providing foundational data for calculating the completion time of status preparation. Preset scenario information refers to various parameters or conditions set under specific port operating conditions to ensure smooth vehicle loading or necessary preparation. This includes minimum battery power requirements for electric vehicles and the power of available charging stations in the port, minimum fuel requirements for gasoline vehicles, and queuing time at maintenance bays. This information is mainly used to comprehensively assess the time required for vehicle preparation, taking into account the impact of port resources on preparation efficiency, in conjunction with the vehicle's own status. Status preparation completion time refers to the estimated time when the vehicle to be transported completes all necessary preparation activities and reaches a ready-to-load state. This time can be derived based on vehicle status information and preset scenario information, using a preset calculation model or scheduling algorithm. It primarily provides a time benchmark for comparison with the entry time points in the loading sequence, thereby predicting potential time conflicts. The designated entry time refers to the pre-allocated time for each vehicle to enter its designated parking position within the ship's loading sequence, a key timing parameter in the ship's stowage plan. Its primary purpose is to clarify the planned time nodes for vehicles in the loading process, allowing for comparison with their actual preparation completion time and identifying time mismatches. A time conflict occurs when a vehicle's preparation completion time is later than its pre-set entry time in the loading sequence, indicating that the vehicle cannot enter the ship on time. Its main purpose is to identify vehicles that may cause delays or interruptions in loading operations, providing a clear basis for subsequent adjustments. A conflicting vehicle is a vehicle identified as having a time conflict, meaning its preparation completion time is later than its planned entry time. Its main purpose is to identify the target vehicles requiring processing and adjustment. Pre-set rules refer to a series of established strategies or algorithms used to guide conflicting vehicle replacement operations, which may include considerations such as vehicle type matching, size compatibility, weight balance requirements, and destination consistency. Its main purpose is to systematically and efficiently select suitable replacement vehicles in the event of time conflicts, and to ensure that the replacement operation complies with ship stowage and safety requirements. Ship stowage safety refers to the state in which the ship's center of gravity, stability, and other key parameters remain within safe ranges after vehicles are loaded, ensuring the ship's stability and risk resistance during navigation. This mainly aims to assess the impact of replacement vehicles on the overall balance and safety of the ship, avoiding potential safety hazards caused by vehicle replacement. Internal hull path feasibility refers to whether the path for the replacement vehicle to move from the ship's entrance to its target parking position is unobstructed and will not collide with the hull structure or other already loaded vehicles.Its main purpose is to ensure that replacement vehicles can smoothly enter and park in designated locations, avoiding path congestion or parking difficulties during actual loading. Verification results refer to the conclusions drawn from assessing the ship's loading safety and the feasibility of internal shipboard paths after the replacement of conflicting vehicles. These results indicate whether the replacement plan meets safety and operational requirements. The main purpose is to provide a basis for decision-making, determining whether to adopt the current replacement plan and adjust the loading sequence. Adjusting the loading sequence refers to modifying the original loading plan based on the verification results to adapt to the new situation after the replacement of conflicting vehicles. This may include rearranging the loading order or parking locations of vehicles. The main purpose is to optimize the loading process, ensuring that while resolving time conflicts, the overall loading operation remains smooth and efficient.

[0023] In some preferred embodiments, this application is implemented as follows. In a port vehicle collection and distribution management system, the system first collects vehicle status information of vehicles waiting to be transported by interacting with the vehicle's onboard system or port sensor network. For example, for a pure electric vehicle, the system can obtain that its current remaining battery power is 15%. At the same time, the system reads preset scenario information from a preset database, such as the port requiring electric vehicles to have a minimum battery power of 40% for loading, and the available charging pile power in the port area being 120kW. Based on this information, combined with a pre-established mapping relationship between battery power and charging time, the system calculates the charging time required for the electric vehicle to reach the required battery power for loading, and determines its status readiness completion time by combining the current time. Subsequently, the system obtains the current loading sequence from the port scheduling management module, which includes the entry time of each vehicle waiting to be transported. For example, the planned entry time of the electric vehicle is 10:00 AM. The system compares the calculated status readiness completion time (e.g., expected 11:30 AM) with the entry time and finds a time conflict, thus marking the electric vehicle as a conflicting vehicle. In response to this time conflict, the system initiates a replacement process according to preset rules. These rules may include prioritizing vehicles of the same model, destination, and ready status for replacement. The system searches the pool of vehicles awaiting transport for suitable replacements, such as finding a fully charged electric vehicle of the same model destined for the same destination. The system then verifies the safety of the replacement vehicle's loading, which may involve calling a ship loading calculation model to assess the impact of the replacement vehicle's weight and position on the ship's center of gravity and stability. Simultaneously, the system verifies the feasibility of the internal shipboard path, which may involve simulating the replacement vehicle's movement from the entrance to its target parking location using a 3D simulation model to detect potential collisions or insufficient clearance. If the verification results show that the replacement plan is safe and the path is feasible, the system will adjust the original loading sequence accordingly, swapping the positions of the conflicting and replacement vehicles and updating the relevant time points. Finally, the port dispatch system will use this adjusted loading sequence to direct on-site personnel to load the vehicles onto the ship, ensuring the smooth operation of the entire loading process.

[0024] By comprehensively analyzing vehicle status information and pre-set scenario information, the above technical solution accurately predicts vehicle preparation completion time, thus identifying potential delay risks before loading operations begin. When time conflicts occur, the solution can replace conflicting vehicles according to pre-set rules and verify the safety of the replaced vessel's loading and the feasibility of the internal shipboard routes, ensuring that the adjusted loading sequence meets both safety requirements and operational feasibility. This dynamic adjustment capability avoids operational interruptions or disruptions to the loading plan during actual loading, improving the overall efficiency and reliability of port vehicle collection and distribution operations, and reducing operational risks and costs.

[0025] Furthermore, this application proposes a step for replacing conflicting vehicles according to preset rules in response to a time conflict, including: Both the ships and the vehicles to be transported are equipped with securing points; In response to time conflicts, a compatibility assessment is performed on the conflicting vehicles and replacement vehicles according to preset rules; Compatibility assessments are performed on conflicting vehicles and replacement vehicles according to preset rules, including: Acquire the tethering point data of the replacement vehicle and the tethering point layout information of the target parking location to be replaced by the replacement vehicle; the tethering point data of the replacement vehicle includes the three-dimensional coordinate data of the standard tethering points on the vehicle chassis; the tethering point layout information includes the geometric layout information of the preset tethering points on the deck of the target parking location. Based on the anchorage point data and anchorage point layout information of the replacement vehicle, determine whether the replacement vehicle meets the standard anchorage configuration requirements at the target parking location. In response to the replacement vehicle not meeting the standard tethering requirements at the target parking location, compensatory tethering information is determined; The compensatory tethering scheme compensates for the tethering operation of the vehicle at the target parking position.

[0026] Among them, tethering points refer to physical connection points used to secure vehicles and prevent them from moving or overturning during transportation. These can be achieved using ring buckles, hooks, or special connectors welded to the vehicle chassis, or pre-installed mooring piles, ground anchors, or rail blocks on a ship's deck. Their purpose is to provide a safe and stable foundation for the vehicle. Pre-set rules refer to a series of established standards, algorithms, or logical judgment conditions used in compatibility assessments. These can be implemented using pre-programmed software modules, configuration parameters in a database, or expert system rule sets. Their purpose is to ensure the objectivity and consistency of the assessment process. Compatibility assessment refers to the process of systematically judging the degree of matching between the tethering conditions of the replacement vehicle and the target parking location. This can be achieved using geometric matching algorithms, three-dimensional spatial coordinate comparison, or rule-based logical reasoning. Its purpose is to identify potential tethering incompatibility issues. Tethering point data refers to a set of information describing the precise location and attributes of standard tethering points on the vehicle chassis. This can be achieved using three-dimensional coordinate point sets, CAD model data, or point cloud data. Its purpose is to provide a digital representation of the vehicle's tethering characteristics. Tethering point layout information refers to information describing the target... The standard tethering configuration refers to the set of information on the arrangement and geometric features of the pre-set tethering points on the deck at the designated parking location. This information can be represented by a two-dimensional plan view, a three-dimensional spatial model, or a coordinate list, and its purpose is to provide a digital representation of the tethering facilities in the parking area. Standard tethering configuration requirements refer to the technical specifications and industry standards that must be met to ensure the safe and stable tethering of vehicles at the target parking location. These requirements can be defined using parameters such as the minimum number of tethering points, the direction of tethering force, the range of tethering angles, or the compatibility of specific tethering tools, and their purpose is to ensure transportation safety. Compensatory tethering information refers to information provided when a replacement vehicle does not meet the standard tethering requirements. When quasi-fastening configuration requirements are met, the description of additional fastening measures or adjustment schemes required to compensate for insufficient fastening can be implemented by using an additional number of fastening straps, suggestions for the selection of specific fastening tools, or instructions for fine-tuning the vehicle's parking position. The purpose is to provide a flexible fastening solution. Compensatory fastening schemes refer to the specific fastening operation procedures or technical guidance performed based on compensatory fastening information. These can be implemented by adding fastening points, adjusting the fastening angle, or using special fastening equipment. The purpose is to ensure safe fastening even under non-standard matching conditions.

[0027] This application's solution provides a physical basis for vehicle securing operations by setting tethering points on both the vessel and the vehicle to be transported. When the system identifies a time conflict and requires replacement of the conflicting vehicle according to preset rules, it does not simply perform a physical replacement but further introduces a compatibility assessment mechanism for the conflicting and replacement vehicles. This assessment process first acquires the three-dimensional coordinate data of the standard tethering points on the chassis of the replacement vehicle, as well as the geometric layout information of the preset tethering points on the deck at the target parking location of the replacement vehicle. Subsequently, the system uses this tethering point data and layout information for comparison and analysis to determine whether the replacement vehicle can meet the predetermined standard tethering configuration requirements at the target parking location. If the assessment results show that the replacement vehicle does not meet the standard tethering configuration requirements at the target parking location, the system will determine compensatory tethering information. This means that even if the tethering points of the vehicle and the parking location do not perfectly match, the system can identify the difference and propose corresponding remedial measures. Finally, based on the determined compensatory tethering scheme, the tethering operation of the replacement vehicle at the target parking location is adjusted accordingly. This series of steps is closely integrated with the basic solution's processes of vehicle status information collection, loading sequence acquisition, conflict detection, and initial replacement. While the basic solution addresses vehicle scheduling issues arising from time conflicts, this solution further optimizes the actual loading safety and operational feasibility of replacement vehicles. By incorporating a rigging compatibility assessment and compensation mechanism into the replacement decision-making process, this solution avoids potential problems such as insufficient rigging, operational interruptions, or rework that might result from replacement. This ensures the replacement vehicle is securely mounted on the ship and guarantees the smooth operation of the entire port vehicle collection and distribution process. This integration makes vehicle replacement not only a time-efficient optimization but also an improvement in physical safety and operational efficiency, effectively resolving safety hazards and operational delays caused by rigging mismatches between replacement vehicles and target parking locations.

[0028] In some embodiments, this application is implemented as follows. When the port management system detects that an electric vehicle originally scheduled for loading onto a ship cannot be parked on time due to charging delays and needs to be replaced by a spare fuel-powered car, the system initiates a tethering compatibility assessment process. First, the system retrieves the tethering point data of the replacement fuel-powered car from the vehicle database, such as the three-dimensional coordinate information of the four standard tethering points on its chassis, which describe the geometric position of the tethering points relative to the vehicle center. Simultaneously, the system retrieves the tethering point layout information of the target parking location where the car will be replaced from the ship's loading plan, such as the two-dimensional plane coordinates and type of the pre-set mooring piles or anchor points in the deck area. Next, the system compares the tethering point data of the replacement car with the tethering point layout information of the target parking location. For example, the system can calculate whether the distance between the car's tethering points matches the distance between the deck tethering points, and whether the connection angle of the tethering straps or chains is within a safe range after the car's tethering points are aligned with the deck tethering points. If the system determines that the vehicle cannot meet the standard tethering requirements at the target parking location—for example, if the spacing between the vehicle's tethering points deviates from the spacing between the deck tethering points, making it impossible to secure with standard tethering equipment—the system will determine compensatory tethering information. Specifically, the system can compare tethering point data with layout information to identify differences in tethering conditions. For example, it may find a lack of available tethering points in a certain direction, or that existing tethering points cannot provide sufficient support angle. Based on these differences, the system can match suitable compensatory tethering information from a pre-set set of tethering operation compensation schemes. For example, it may suggest using additional portable tethering devices, increasing the number of tethering straps, or instructing operators to adjust the vehicle's slight parking angle to utilize suboptimal tethering points. Finally, on-site operators will use these compensatory tethering schemes, such as adding a temporary tethering post at a specific location on the vehicle and securing it with an additional tethering strap, to complete the tethering operation at the target parking location, ensuring the vehicle's stability during shipping.

[0029] Furthermore, this application proposes a step for determining compensatory tethering information in response to a replacement vehicle not meeting the standard tethering configuration requirements at the target parking location, including: Compare the anchorage point data and anchorage point layout information of the replacement vehicle to determine the differences in anchorage conditions; Based on the differences in binding conditions, compensatory binding information is matched from the preset binding operation compensation scheme set.

[0030] Among them, the difference in fastening conditions refers to the geometric or strength mismatch between the fastening point data of the replacement vehicle and the fastening point layout information of the target parking location. Specifically, it can include deviations in the location of fastening points, insufficient number of fastening points, differences in the load-bearing capacity of fastening points, or incompatibility of fastening device types. Its purpose is to accurately identify the specific problems that need to be remedied during fastening operations. The preset fastening operation compensation scheme set refers to a collection of pre-stored fastening operation guidance schemes designed for different fastening condition differences. Specifically, it can include various strategies such as adding auxiliary fastening points, using fastening straps or chains of specific specifications, adopting additional support structures, adjusting the fastening angle, or applying pre-tension. Its purpose is to provide diverse and feasible fastening solutions for vehicles that do not meet the standard fastening requirements. Compensatory fastening information refers to specific instructions or parameters matched from the preset fastening operation compensation scheme set to guide actual fastening operations. Specifically, it can include recommended fastening device models, fastening point location diagrams, fastening torque requirements, or operation step sequences. Its purpose is to provide clear and executable fastening compensation guidance for on-site operators.

[0031] This application's solution ensures the safety and reliability of vehicle tethering at the target parking location by providing specific compensatory tethering information when a replacement vehicle does not meet the standard tethering configuration requirements. Specifically, when the system determines that the replacement vehicle does not meet the standard tethering configuration requirements at the target parking location, it first compares the tethering point data of the replacement vehicle itself with the tethering point layout information of the target parking location. Through precise comparison of these data, specific mismatches in tethering between the replacement vehicle and the target parking location can be identified. For example, there may be deviations between the three-dimensional coordinate data of the standard tethering points on the vehicle chassis and the geometric layout information of the preset tethering points on the deck, thus determining the tethering condition differences. This step forms the basis for subsequent matching compensation schemes, ensuring that the identification of tethering problems is accurate and targeted. Furthermore, once the tethering condition differences are determined, the system matches the most suitable compensatory tethering information from a set of preset tethering operation compensation schemes based on these differences. The pre-designed set of tethering operation compensation schemes includes solutions pre-designed for various tethering mismatches. For example, for tethering point position deviations, extending tethering straps or adapters may be recommended; for insufficient tethering points, adding auxiliary tethering points or using multi-point tethering devices may be recommended. This matching mechanism provides clear and actionable guidance for on-site tethering operations, compensating for deficiencies in the original tethering configuration caused by vehicle replacement. Through this process, the proposed solution transforms potential tethering compatibility issues during vehicle replacement from a simple "non-compliance" state to a "compensable" state with clear solutions. This is closely integrated with the steps of replacing conflicting vehicles and conducting compatibility assessments in the preliminary scheme, making the entire vehicle replacement process more complete. After the replacement vehicle is selected and tethering incompatibility is assessed, this solution goes beyond simply identifying the problem; it further provides specific and actionable compensation measures. This ensures that even when vehicle replacement causes changes in the tethering configuration, precise compensation schemes can maintain or even improve the vehicle's tethering safety level on the vessel. This avoids secondary delays or safety hazards caused by rigging issues, allowing the adjusted loading sequence to be executed smoothly. This ensures the smooth and efficient operation of the entire port vehicle collection and distribution process, effectively solving the problem that simply determining the need for compensatory rigging information is insufficient to guide actual rigging operations.

[0032] In some preferred embodiments, when a replacement vehicle does not meet the standard tethering configuration requirements at the target parking location, the system can specifically implement the following steps to determine compensatory tethering information. For example, suppose the chassis tethering point data of a replacement vehicle A indicates that it has four standard tethering points, and its three-dimensional coordinates deviate from the preset tethering point layout information of the deck at the target parking location P. Specifically, the two rear tethering points of vehicle A cannot be directly aligned with the rear tethering points at location P, exhibiting a lateral offset of approximately 10 cm. In this case, the system can first compare the tethering point data of vehicle A with the tethering point layout information of location P, identify this lateral offset, and determine it as a tethering condition difference. This tethering condition difference can be encoded as "rear tethering point lateral offset 10cm". Further, the system can match from a preset tethering operation compensation scheme set based on this "rear tethering point lateral offset 10cm" tethering condition difference. This set of solutions can pre-store various compensation strategies, such as: using adjustable-length tethering straps that allow a certain range of lateral stretching; using tethering devices with eccentric connectors; adding temporary auxiliary tethering points on the deck; or adjusting the vehicle's parking position by a small angle to align with the tethering points. The system can match the most suitable compensatory tethering information from this set of solutions based on a preset matching algorithm, such as rule-based matching or machine learning-based matching. In this embodiment, the system can match "using a tethering device with an eccentric connector" as compensatory tethering information and can further specify the specific model or eccentricity of the eccentric connector, or match "adjusting the vehicle's parking position by a small angle to align with the tethering points" and provide specific angle adjustment suggestions. In this way, on-site personnel can select appropriate tools or adjustments based on this explicit compensatory tethering information, thereby ensuring that the tethering operation to replace the vehicle at the target parking position can be completed safely and effectively.

[0033] Furthermore, this application proposes steps for verifying the safety of ship loading and the feasibility of internal shipboard routes after the replacement of conflicting vehicles, and generating verification results, including: Acquire information about the ship's own status and external environment during the vehicle loading process; the ship's own status information includes fuel consumption and ballast water adjustment; the external environment information includes tidal conditions and wind force. Based on its own state information and external environment information, calculate the offset of the ship's center of gravity parameter and the offset of its stability parameter; Based on the adjusted loading sequence, center of gravity parameter offset, and stability parameter offset, the ship loading safety of the adjusted vehicle loading position is evaluated, and the ship loading safety assessment result is obtained. Based on the adjusted loading sequence, center of gravity parameter offset, and stability parameter offset, the feasibility of the vehicle movement path inside the ship's compartment is evaluated, and the path feasibility assessment results are obtained; the path feasibility assessment includes collision detection and clearance detection. Verification results are generated based on the ship loading safety assessment results and route feasibility assessment results.

[0034] Among these, ship loading safety refers to the state in which a ship, after being loaded with cargo, meets navigation and operational safety regulations regarding its center of gravity, stability height, draft, and trim. This can be defined through ship design codes, relevant regulations of the International Maritime Organization (IMO), and classification society requirements. Its purpose is to ensure that the ship will not capsize, roll excessively, or experience excessive structural stress after being loaded with vehicles. Internal cabin path feasibility refers to the absence of physical obstacles or impassable conditions during the movement of vehicles from the entrance to the designated parking position within the cabin, and during unloading, from the parking position to the exit. This can be assessed through 3D spatial modeling and path planning algorithms, aiming to ensure the safety of vehicles on board. Smooth movement within the cabin, avoiding jamming or damage; collision detection refers to determining whether the vehicle or its load will make physical contact with the cabin structure, other vehicles, or obstacles during vehicle movement path planning or simulation. This can be achieved through methods such as geometric model cross-judgment and distance threshold setting, with the aim of preventing scratches or collisions during vehicle movement; clearance detection refers to determining whether a sufficient safe distance is maintained between the vehicle and the cabin structure, other vehicles, or obstacles during vehicle movement path planning or simulation. This can be achieved through methods such as minimum distance calculation and safety margin setting, with the aim of ensuring that the vehicle can pass smoothly through narrow areas and avoid being unable to move due to insufficient space.

[0035] Based on the aforementioned technical features, the solution in this application acquires the ship's own state information and external environmental information during the vehicle loading process, such as fuel consumption, ballast water adjustment, tidal conditions, and wind strength. This information is dynamically changing and directly affects the ship's center of gravity and stability. Based on this real-time or near-real-time data, the system can calculate the ship's center of gravity parameter offset and stability parameter offset. These offsets quantify the deviation between the ship's current state and its ideal state. Subsequently, combined with the adjusted loading sequence, the system assesses the ship's loading safety at the vehicle loading positions, determining whether the new vehicle distribution will lead to excessive center of gravity offset or insufficient stability, thereby affecting navigation safety. Simultaneously, the system also assesses the feasibility of vehicle movement paths within the ship's hold, ensuring smooth vehicle movement within the hold through collision detection and clearance detection, avoiding jamming or collisions due to improper size or position. Finally, based on the ship loading safety assessment results and path feasibility assessment results, verification results are generated. This series of steps forms a complete verification closed loop, closely integrated with the solution in this application that replaces conflicting vehicles using preset rules. While the new loading sequence resolves the time conflict after the conflicting vehicles are replaced, its impact on the overall ship loading and internal operations remains unknown. This solution addresses this potential risk by providing a proactive and comprehensive safety and feasibility verification mechanism. Rigorous verification of the replaced loading sequence allows for the timely detection and correction of potential loading imbalances or path blockages, preventing ship safety hazards or vehicle immobility during actual loading operations. This mechanism, which verifies immediately after replacement, ensures the smoothness, safety, and efficiency of the entire port vehicle handling process. It enables the system to flexibly respond to emergencies and guarantees the reliability of the final loading plan, significantly enhancing the intelligence and risk control capabilities of port operations.

[0036] To further clarify the implementation of this application, a specific example is provided below. In some preferred embodiments, when verifying the safety of ship loading and the feasibility of internal shipboard paths after vehicle replacement, the system can first acquire real-time information about the ship's own status during vehicle loading through the ship's own sensor network and port environmental monitoring system. For example, fuel consumption data can come from the ship's fuel flow meter, and ballast water adjustment data can come from ballast water tank level sensors and pump station control systems. Simultaneously, external environmental information, such as tidal conditions, can be obtained from the port tidal forecast database, and wind speed and direction can be obtained from the port meteorological station's wind speed and direction sensors. Next, a dedicated ship dynamics analysis module can accurately calculate the ship's center of gravity parameter offset and stability parameter offset using computational models from the field of ship engineering, based on this own status information and external environmental information. For example, based on the ship's load distribution, fuel consumption, ballast water adjustment, and external wind pressure and water flow forces, the specific offset of the ship's center of gravity in three-dimensional space and the change in stability height (GM) can be obtained through iterative calculation or table lookup methods. Subsequently, a loading safety assessment subsystem can receive the adjusted loading sequence, calculated center of gravity parameter offset, and stability parameter offset. This subsystem can incorporate ship loading calculation software to simulate the loading process, update the ship's load distribution in real time, and assess whether the adjusted vehicle loading positions meet the ship's loading safety requirements based on the International Maritime Organization (IMO) stability criteria, classification society rules, and the ship's own design limitations. For example, it determines whether the ship's initial metacentric height remains above the safety threshold and whether the ship's trim and heel angles are within permissible ranges. The assessment result can be a detailed report or a simple pass / fail indication. Simultaneously, a cabin path planning and feasibility assessment subsystem can utilize the adjusted loading sequence, center of gravity parameter offset, and stability parameter offset, combined with 3D model data of the cabin and vehicles, to conduct a path feasibility assessment of vehicle movement paths within the cabin. Path feasibility assessment can include collision detection and clearance detection. For example, the system can employ voxel-based or mesh-based collision detection algorithms to simulate vehicles moving along a preset path within the ship's cabin, checking in real time for any overlap between the vehicle model and the cabin structure model or other loaded vehicle models. Simultaneously, by calculating the minimum distance between the vehicle model and surrounding obstacles, gap detection is performed to ensure sufficient safety margins between the vehicle and cabin walls, pillars, or other vehicles when passing through narrow passages or turning. Finally, a verification result generation module can integrate the ship loading safety assessment results and the path feasibility assessment results. If both assessments show safety and feasibility, a "verification passed" result is generated; if either assessment shows risk or infeasibility, a "verification failed" result is generated with a detailed risk description.These verification results can be visualized on the user interface for decision-makers to reference.

[0037] Furthermore, this application proposes a step for determining the readiness completion time of a vehicle to be transported based on vehicle status information and preset scenario information, including: Based on the current vehicle status information of the vehicles waiting to be transported, and the pre-established mapping relationship between vehicle status information and status preparation time, the status preparation time of the current vehicles waiting to be transported is determined. Based on the status preparation time, determine the time when the status preparation of the vehicles to be transported will be completed.

[0038] The mapping relationship between vehicle status information and status preparation time refers to a pre-stored set of corresponding rules used to associate different vehicle statuses with the time required to complete the corresponding preparation. Specifically, it can be a database table, a lookup table, a function generated based on a machine learning model, or a set of conditional logic rules. Its purpose is to automatically and accurately obtain the time required to complete the preparation based on the actual status of the vehicle.

[0039] This application's solution addresses the accuracy and efficiency issues of traditional methods in determining the completion time of vehicle preparation by introducing a mapping relationship between vehicle status information and preparation time. Specifically, the system first acquires the current vehicle status information, such as remaining battery power, remaining fuel, or type of mechanical fault. Then, using the pre-established mapping relationship between vehicle status information and preparation time, the system queries or calculates the preparation time required for the vehicle to complete all necessary preparation activities, taking the acquired vehicle status information as input. This mapping relationship can finely reflect the differences in preparation time required under different vehicle states. For example, for electric vehicles with extremely low battery power, the mapping relationship will indicate a longer charging time; for vehicles with specific mechanical faults, it will indicate the repair time required. Because of this refined mapping relationship, the determination of the preparation time no longer relies on rough estimations or human experience, but is based on a quantitative assessment of the vehicle's actual situation. Based on this, the system superimposes the current time with the determined preparation time to obtain the estimated time when the vehicle is expected to complete all preparation activities, i.e., the preparation completion time. In this way, the solution can provide a more accurate and reliable time benchmark for subsequent loading sequence optimization, thereby improving the planning, predictability and efficiency of the entire port vehicle collection and distribution process, and effectively avoiding loading delays or planning conflicts caused by inaccurate vehicle preparation time estimation.

[0040] In some preferred embodiments, determining the readiness time of a vehicle awaiting transport can be implemented as follows. Assume the vehicle status information of an electric vehicle awaiting transport shows a remaining battery level of 20%. The system first queries a pre-established mapping relationship between vehicle status information and readiness time. This mapping relationship can be stored in a database, containing entries corresponding to battery levels and charging times, such as "0%-25% battery: 4 hours charging time", "25%-50% battery: 2 hours charging time", and "50%-75% battery: 1 hour charging time". Based on the current 20% remaining battery level, the system determines its readiness time to be 4 hours from the mapping relationship. Subsequently, the system obtains the current time, for example, 10:00 AM. The current time is added to the determined readiness time, i.e., 10:00 + 4 hours, thus determining the readiness time of the electric vehicle awaiting transport to be 2:00 PM. For another example, if a gasoline-powered vehicle reports its status as "fuel level below minimum loading requirement," and the mapping specifies "fuel level below minimum requirement: refueling time 0.5 hours," then the system will determine its status preparation time to be 0.5 hours. If the current time is 11:00 AM, then the gasoline-powered vehicle's status preparation completion time will be 11:30 AM. In this way, the preparation completion time can be dynamically and accurately calculated based on the actual status of different vehicles.

[0041] Furthermore, this application proposes steps for determining the completion time of the vehicle's readiness for transport, including: Based on the pre-established mapping relationship between vehicle status information and status preparation time, determine the status preparation activities and status preparation time of the vehicle to be transported; status preparation activities include charging, or refueling, and / or mechanical maintenance. Analyze the relationships between state preparation activities and obtain current port resource availability information; the relationship information includes parallelism, sequence, and dependency. Based on the status preparation activities, status preparation duration, the relationship between status preparation activities, and the current port resource availability information, determine the status preparation completion time for vehicles awaiting transport.

[0042] To better understand this solution, some key technical features are further explained. The mapping relationship between vehicle status information and status preparation time refers to a pre-established database or rule set that associates the current vehicle status (such as battery level, fuel level, and fault type) with the time required to complete the corresponding preparation activities. This can be implemented using lookup tables, empirical formulas, or machine learning models, aiming to provide a quantifiable time basis for the preparation work of each vehicle awaiting transport. The relationship information between status preparation activities refers to the logical constraints between different status preparation activities. Specifically, this can be a parallel relationship where activities can be performed simultaneously, a sequential relationship where activities must be completed in a specific order, or a dependency relationship where the start of one activity depends on the completion of another. This can be represented using directed graphs, Gantt graphs, or task dependency matrices, aiming to ensure the rationality and efficiency of the preparation process. Port resource availability information refers to the real-time or estimated status of various resources within the port currently available for vehicle status preparation. Specifically, this can include the number and occupancy of charging piles, the number and queuing status of maintenance bays, and the availability of relevant personnel. This can be obtained using resource scheduling systems, sensor data, or manual input, aiming to reflect the port's capacity to support vehicle preparation activities.

[0043] This application's solution achieves precise determination of vehicle readiness completion time by comprehensively considering multiple factors. First, by utilizing a pre-established mapping relationship between vehicle status information and readiness duration, the system can identify the specific readiness activities required for the vehicles awaiting transport, such as charging, refueling, or mechanical maintenance, and quantify the time required for each activity. This lays the foundation for subsequent time planning. Based on this, the solution further analyzes the inherent logical relationships between these readiness activities; for example, some activities can be executed in parallel to save time, while others must be completed strictly in sequence or according to dependencies. Simultaneously, the system acquires real-time availability information of key port resources, such as the number and occupancy of charging stations or maintenance bays, which are key limiting factors for executing readiness activities. Finally, this information—including specific readiness activities, the duration of each activity, the logical relationships between activities, and the actual carrying capacity of port resources—is integrated through a comprehensive calculation process to determine the readiness completion time of the vehicles awaiting transport. This method, combined with the basic solution in this application that determines the readiness completion time of vehicles awaiting transport based on vehicle status information and preset scenario information, improves the accuracy of time estimation. The basic solution provides a preliminary time estimate, while this solution refines the time estimate by introducing inter-activity relationships and resource constraints. This refined time prediction allows for more reliable data-driven decision-making when obtaining the loading sequence and determining if there are time conflicts. This effectively avoids loading interruptions or disruptions to the loading plan due to vehicle preparation delays, thereby improving the overall efficiency and smoothness of port vehicle transport operations.

[0044] To further clarify the implementation details of this solution, a specific embodiment is described below. In some preferred embodiments, it is assumed that a pure electric vehicle awaiting transport needs charging and a minor mechanical repair. First, based on a pre-established mapping relationship between vehicle status information and status preparation time, the system identifies the necessary preparation activities for the vehicle as charging and mechanical repair, determining that charging will take 4 hours and mechanical repair will take 1 hour. Next, the system analyzes the relationship information between the status preparation activities and finds that charging and mechanical repair can be performed in parallel, i.e., they can start simultaneously. Simultaneously, the system obtains the current port resource availability information, for example, if the port currently has 2 available charging stations and 1 available repair bay. Based on this information, the system comprehensively considers the parallelism of charging and mechanical repair as well as resource availability. For example, if both charging stations and the repair bay are available, the vehicle can be charged and repaired simultaneously. In this case, the vehicle's status preparation completion time will be determined by the activity with the longest duration, i.e., 4 hours. If the repair bay is occupied, mechanical repair may need to wait, and the system will recalculate the completion time based on the queuing situation. In this way, the system can determine the final preparation time of the vehicle, thus providing an accurate time basis for subsequent loading plans.

[0045] Furthermore, this application proposes steps for determining the completion time of the vehicle's readiness for transport, including: Construct a queuing model with a pre-defined scheduling algorithm; the queuing model considers state preparation activities, state preparation duration, relationship information between state preparation activities, and current port resource availability information as constraints. Based on the queuing model, the timing planning and optimization of multiple state preparation activities are performed to meet all constraints. Based on the optimized timeline, the time for the vehicles to be transported to complete their preparation is determined.

[0046] The queuing model of the pre-defined scheduling algorithm refers to a mathematical model used to simulate and manage the execution process of multiple vehicles' state preparation activities. It can be implemented using discrete event simulation models, network flow models, or integer linear programming models, aiming to provide a computable framework for complex activity scheduling. State preparation activities refer to the various preparatory tasks that vehicles need to complete before loading, including charging, refueling, mechanical maintenance, cleaning, or document processing, to ensure the vehicles meet loading requirements. State preparation time refers to the time required to complete each state preparation activity, which can be estimated or calculated in real-time based on factors such as vehicle type, activity content, and resource efficiency, aiming to quantify the time cost of each task. The relationship information between state preparation activities refers to the logical or temporal dependencies between different state preparation activities, which can include parallel relationships (can be performed simultaneously), sequential relationships (must be performed in a specific order), or dependency relationships (…). (An activity can only begin after another activity is completed), its purpose is to reflect the sequential constraints in the actual operation process; the current port resource availability information refers to the real-time status and quantity of various resources available for state preparation activities within the port, which may include the number and idle status of charging piles, the number and occupancy status of maintenance workstations, the number of workers, etc., its purpose is to reflect the actual constraints of scheduling decisions; constraints refer to the various restrictive requirements that must be met in the queuing model, which may include resource capacity constraints, activity sequence constraints, time window constraints, or priority constraints, etc., its purpose is to ensure the feasibility and compliance of the scheduling plan; timing planning and optimization refers to the process of arranging and adjusting the execution order and time of multiple state preparation activities according to the queuing model and constraints to achieve a specific goal. It can be implemented using optimization methods such as heuristic algorithms, genetic algorithms, or simulated annealing algorithms, its purpose is to improve resource utilization and shorten the overall completion time.

[0047] This application proposes a queuing model based on a pre-defined scheduling algorithm that considers multiple constraints. This model is then used to perform time-series planning and optimization of multiple state preparation activities, thereby more accurately and efficiently determining the state preparation completion time of vehicles waiting to be transported. Specifically, firstly, a queuing model based on a pre-defined scheduling algorithm is constructed. This model is not a simple first-come, first-served service, but rather comprehensively considers the state preparation activities themselves, the duration of each state preparation activity, the relationships between state preparation activities, and the current port resource availability information as constraints. The state preparation activities themselves determine the type of task to be executed; the state preparation duration determines the time required to complete the task; the relationships between state preparation activities (such as parallelism, sequence, and dependency) determine the order of task execution and their mutual influence; and the current port resource availability information restricts which tasks can be performed simultaneously. By incorporating these factors into the queuing model, the actual port operation can be simulated more comprehensively. Based on this, multiple state preparation activities are time-series planned and optimized according to the queuing model to satisfy all constraints. This means that the scheduling algorithm automatically adjusts the execution order and time of each state preparation activity based on the constraints in the queuing model, striving to shorten the overall state preparation time as much as possible while satisfying all constraints. For example, if two state preparation activities can be executed in parallel and port resources are sufficient, the scheduling algorithm will arrange for them to run simultaneously; if two state preparation activities have dependencies, the scheduling algorithm will ensure that they are executed in the correct order; if a state preparation activity needs to wait for a specific resource (such as a charging station) to become available, the scheduling algorithm will place it in a waiting queue and start it immediately when the resource becomes available. Finally, the state preparation completion time of the vehicles to be transported is determined based on the optimized timing plan. Since the timing plan has considered and optimized various constraints, the obtained state preparation completion time is more accurate and reliable, providing a more reliable basis for subsequent loading sequence arrangements. This scheme, combined with the previous method of determining the state preparation completion time based on vehicle state information and preset scenario information, can elevate the preparation process of individual vehicle states from simple time estimation to a refined level of resource scheduling and timing optimization. In this way, the system can more accurately predict the actual readiness time of each vehicle waiting to be transported, thus providing more reliable and forward-looking data support for subsequent detection and adjustment of loading sequence conflicts. This refined time prediction enables the overall port vehicle collection and distribution process management method to more effectively identify and resolve potential time conflicts, avoiding loading delays or disruptions to the loading plan due to insufficient vehicle readiness, thereby improving the efficiency and reliability of the entire collection and distribution operation.

[0048] Furthermore, this application proposes steps for loading vehicles onto ships according to the adjusted loading sequence, including: Real-time monitoring and acquisition of real-time status updates for vehicles awaiting transport; The real-time status update information is compared with the entry time of the vehicles waiting to be transported in the adjusted loading sequence to determine whether there is an actual status that does not match the adjusted loading sequence, or whether there is a new time conflict. If there is a discrepancy with the actual situation or a new time conflict occurs, the adjusted loading sequence will be locally optimized according to the preset response rules to obtain a locally optimized loading sequence. The preset response rules include prioritizing the adjustment of vehicles that are not ready to be placed and finding the nearest unloaded replacement vehicle. Ships are loaded with vehicles according to the locally optimized loading sequence.

[0049] The specific implementation of this application is as follows: In the port vehicle collection and distribution full-process management system, when a ship begins loading vehicles, the system continuously acquires real-time status updates for each vehicle waiting to be transported through onboard sensors, RFID tag readers, GPS positioning modules, and the port's internal vehicle management system interface. For example, for an electric vehicle scheduled to be parked at 10:00, the system receives its latest battery percentage, vehicle location, and any reported fault codes every minute. The system compares this real-time battery and location information with the electric vehicle's scheduled parking time in the previously adjusted loading sequence. If the system finds that the electric vehicle's battery is below the minimum loading requirement, or its current location is too far from the parking point and it is not expected to arrive before 10:00, or the onboard system reports a serious mechanical fault, the system will determine that there is an actual state inconsistent with the adjusted loading sequence, or a new time conflict has occurred. Once the system determines that such a discrepancy or conflict exists, it will immediately trigger preset response rules for local optimization. For example, if an electric vehicle scheduled to be loaded at 10:00 AM is found to have insufficient battery power and has not yet left the charging area, the system will prioritize postponing its loading time and simultaneously search the loading sequence for the next unloaded vehicle that meets the loading requirements for pre-loading. If postponing the electric vehicle would obstruct the path of subsequent vehicles, the system will further search for the nearest unloaded replacement vehicle that meets both the type and destination requirements, temporarily assigning it to the electric vehicle's original location for loading, while rescheduling the electric vehicle to a later available time slot or location. These adjustment decisions can be automatically generated by the system based on preset rules such as priority, vehicle attributes, loading requirements, and path feasibility. Finally, based on this locally optimized loading sequence, the system will send new instructions to on-site dispatchers and vehicle drivers, guiding them to load vehicles onto the ship according to the new order and time, ensuring the continuity and efficiency of the loading operation.

[0050] Furthermore, this application proposes that vehicle status information includes external physical status information and internal operating status information; external physical status information includes mechanical damage and tire wear; internal operating status information includes the vehicle's remaining battery power or remaining fuel and / or the vehicle's engine operating status.

[0051] This application's solution more accurately determines the readiness time of a vehicle by collecting more comprehensive and detailed vehicle status information. Specifically, when collecting vehicle status information, it not only acquires internal operating status information, such as the vehicle's remaining battery power or fuel level and engine operating status, but also further acquires external physical status information, such as mechanical damage and tire wear. This comprehensive consideration of multi-dimensional information makes the assessment of the vehicle's actual readiness more accurate. For example, the vehicle's remaining battery power or fuel level directly relates to whether the vehicle needs charging or refueling and the required time; the vehicle's engine operating status reflects the health of the vehicle's powertrain, and any abnormalities may require additional repair time. Simultaneously, external physical status information, such as mechanical damage and tire wear, reveals potential problems affecting the vehicle's safe operation or requiring external repairs. By integrating this internal operating status with external physical status information, the system can identify readiness needs that might be missed by single-dimensional information. For example, a vehicle with sufficient battery power but severely worn tires will have its readiness time extended due to the need for tire replacement. This comprehensive information collection and analysis allows for the full consideration of all factors that may affect vehicle availability when determining the readiness completion time of vehicles to be transported based on vehicle status information and preset scenario information. This avoids misjudgments caused by incomplete information and ensures that the determined readiness completion time accurately reflects the actual readiness status of the vehicles. In this way, this application effectively solves the problem of inaccurate readiness completion time calculations caused by a single dimension of vehicle status information, thereby improving the efficiency and reliability of the entire collection and distribution process.

[0052] Furthermore, this application also proposes a port vehicle collection and distribution full-process control system, which is applied to the scenario of ship loading and unloading vehicles in a port. The system can execute each step in the above method to realize the control of the entire process of port vehicle collection and distribution, so as to solve the problems of high operating costs and low efficiency caused by opaque vehicle status information and process breaks when the port handles a large number of import and export vehicles.

[0053] like Figure 2As shown, the system includes a data acquisition module 201, a conflict determination module 202, a verification and adjustment module 203, and a loading module 204. The data acquisition module 201 collects vehicle status information of vehicles awaiting transport and determines the vehicle's readiness completion time based on this information and preset scenario information. Vehicle status information includes remaining battery power or fuel and / or vehicle mechanical fault type. Preset scenario information includes minimum battery power for loading and matching charging pile power, minimum fuel capacity for loading, and / or maintenance bay queuing time. The conflict determination module 202 obtains the loading sequence including the vehicle's entry time, determines whether a time conflict exists based on the entry time and readiness completion time, and marks the vehicle awaiting transport as a conflicting vehicle. The entry time is the time allocated to the vehicle for entry into the ship in the loading plan. The verification and adjustment module 203, in response to a time conflict, replaces the conflicting vehicle according to preset rules; verifies the ship's loading safety and the feasibility of the internal path within the ship's hold after the replacement, generates verification results, and adjusts the loading sequence based on the verification results. The loading module 204 is used to load vehicles onto ships according to the adjusted loading sequence.

[0054] The above description is merely an embodiment of this application and is not intended to limit the scope of protection of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of protection of this application.

Claims

1. A method for full-process control of port vehicle collection and distribution, applied to a port's ship loading and unloading vehicle scenario; characterized in that, The method includes: Collect vehicle status information of vehicles to be transported, and determine the preparation time of the vehicles to be transported based on the vehicle status information and preset scenario information; the vehicle status information includes the vehicle's remaining battery power or remaining fuel and / or the type of vehicle mechanical failure; the preset scenario information includes the minimum battery power for loading and the power of the matching charging pile, the minimum fuel for loading, and / or the queuing time at the maintenance bay. Obtain the loading sequence including the entry time of the vehicles to be transported, determine whether there is a time conflict based on the entry time and the status preparation completion time, and mark the vehicles to be transported as conflicting vehicles; the entry time is the time allocated to the vehicles to be transported for entering the ship in the loading and stowage plan. In response to the existence of the time conflict, the conflicting vehicle is replaced according to a preset rule; and the safety of ship loading and the feasibility of the internal route of the ship after the conflicting vehicle is replaced are verified, and a verification result is generated; the loading sequence is adjusted according to the verification result. Ships will load vehicles according to the adjusted loading sequence.

2. The method for full-process control of port vehicle collection and distribution according to claim 1, characterized in that, The ships and vehicles to be transported are all equipped with securing points. The step of replacing the conflicting vehicle according to a preset rule in response to the existence of the time conflict includes: performing a compatibility assessment on the conflicting vehicle and the replacement vehicle according to the preset rule; A compatibility assessment is performed on the conflicting vehicles and replacement vehicles according to the preset rules, including: Acquire the tethering point data of the replacement vehicle and the tethering point layout information of the target parking location to be replaced by the replacement vehicle; the tethering point data of the replacement vehicle includes the three-dimensional coordinate data of the standard tethering points on the vehicle chassis; the tethering point layout information includes the geometric layout information of the preset tethering points on the deck of the target parking location. Based on the anchorage point data and anchorage point layout information of the replacement vehicle, determine whether the replacement vehicle meets the standard anchorage configuration requirements at the target parking location; In response to the replacement vehicle not meeting the standard tethering configuration requirements at the target parking location, compensatory tethering information is determined; The compensatory securing scheme compensates for the securing operation of the replacement vehicle at the target parking position.

3. The method for full-process control of port vehicle collection and distribution according to claim 2, characterized in that, In response to the replacement vehicle not meeting the standard tethering configuration requirements at the target parking location, compensatory tethering information is determined, including: Compare the anchorage point data and anchorage point layout information of the replacement vehicle to determine the differences in anchorage conditions; Based on the differences in binding conditions, compensatory binding information is matched from a set of preset binding operation compensation schemes.

4. The method for full-process control of port vehicle collection and distribution according to claim 1, characterized in that, Verify the safety of ship loading and the feasibility of internal cabin routes after the replacement of the conflicting vehicles, and generate verification results, including: The system acquires information about the vessel's own status and external environment during the vehicle loading process; the vessel's own status information includes fuel consumption and ballast water adjustment; the external environment information includes tidal conditions and wind speed. Based on its own state information and external environment information, the ship's center of gravity parameter offset and stability parameter offset are calculated. Based on the adjusted loading sequence, the offset of the center of gravity parameter, and the offset of the stability parameter, the ship loading safety of the adjusted vehicle loading position is evaluated, and the ship loading safety evaluation result is obtained. Based on the adjusted loading sequence, the center of gravity parameter offset, and the stability parameter offset, the feasibility of the vehicle movement path inside the ship's hold is evaluated, and the path feasibility evaluation result is obtained; the evaluation of the path feasibility of the vehicle movement path inside the ship's hold includes collision detection and gap detection. Based on the ship loading safety assessment results and the route feasibility assessment results, verification results are generated.

5. The method for full-process control of port vehicle collection and distribution according to claim 1, characterized in that, The time for the readiness of the vehicle to be transported is determined based on the vehicle status information and preset scenario information, including: Based on the current vehicle status information of the vehicles waiting to be transported, and the pre-established mapping relationship between vehicle status information and status preparation time, the status preparation time of the current vehicles waiting to be transported is determined. Based on the stated preparation time, the completion time of the preparation of the vehicle to be transported is determined.

6. The method for full-process control of port vehicle collection and distribution according to claim 5, characterized in that, Based on the stated preparation time, the completion time of the vehicle's preparation is determined, including: Based on the pre-established mapping relationship between vehicle status information and status preparation time, the status preparation activities and status preparation time of the current vehicle to be transported are determined; the status preparation activities include charging, or refueling, and / or mechanical maintenance. Analyze the relationship information between the state preparation activities and obtain the current port resource availability information; the relationship information includes parallelism, sequence, and dependency. The completion time of the state preparation of the vehicles to be transported is determined based on the state preparation activities, the state preparation duration, the relationship information between the state preparation activities, and the current port resource availability information.

7. The method for full-process control of port vehicle collection and distribution according to claim 6, characterized in that, Based on the status preparation activities, status preparation duration, relationship information between the status preparation activities, and current port resource availability information, the status preparation completion time of the vehicles to be transported is determined, including: Construct a queuing model with a preset scheduling algorithm; the queuing model considers the state preparation activities, the state preparation duration, the relationship information between the state preparation activities, and the resource availability information of the current port as constraints. Based on the queuing model, the timing planning and optimization of multiple state preparation activities are performed to satisfy all constraints. Based on the optimized timing plan, the time for the vehicles to be transported to complete their status preparation is determined.

8. The method for full-process control of port vehicle collection and distribution according to claim 1, characterized in that, Vehicles will be loaded onto ships according to the adjusted loading sequence, including: Real-time monitoring and acquisition of the real-time status update information of the vehicles to be transported; The real-time status update information is compared with the entry time of the vehicles waiting to be transported in the adjusted loading sequence to determine whether there is an actual status that does not match the adjusted loading sequence, or whether a new time conflict has occurred. If there is a discrepancy with the actual situation or a new time conflict occurs, the adjusted loading sequence is locally optimized according to the preset response rules to obtain the locally optimized loading sequence; the preset response rules include prioritizing the adjustment of vehicles that are not ready to be placed and finding the nearest unloaded replacement vehicle; Ships are loaded with vehicles according to the locally optimized loading sequence.

9. The method for full-process control of port vehicle collection and distribution according to claim 1, characterized in that, The vehicle status information includes external physical status information and internal operating status information; the external physical status information includes mechanical damage and tire wear. Vehicle internal operating status information includes the vehicle's remaining battery power or remaining fuel level and / or the vehicle's engine operating status.

10. A port vehicle collection and distribution full-process control system, applied to a port's ship loading and unloading vehicle scenario; characterized in that, The system includes: The data acquisition module is used to collect vehicle status information of vehicles to be transported, and determine the time for the vehicle to be ready for transport based on the vehicle status information and preset scenario information. The vehicle status information includes the vehicle's remaining battery power or remaining fuel and / or the type of vehicle mechanical fault. The preset scenario information includes the minimum battery power required for loading and the power of the matching charging pile, the minimum fuel required for loading, and / or the queuing time at the maintenance bay. The conflict determination module is used to obtain the loading sequence including the entry time of the vehicles to be transported, determine whether there is a time conflict based on the entry time and the status preparation completion time, and mark the vehicles to be transported as conflicting vehicles; the entry time is the time allocated to the vehicles to be transported for entering the ship in the loading and stowage plan. The verification and adjustment module is used to respond to the existence of the time conflict by replacing the conflicting vehicles according to preset rules; verifying the safety of ship loading and the feasibility of the internal route in the ship's hold after the replacement of the conflicting vehicles, generating verification results; and adjusting the loading sequence according to the verification results. The loading module is used to load vehicles onto ships according to the adjusted loading sequence.

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