Method for evaluating horizontal transportation efficiency of container terminal

Abstract

The invention relates to the technical field of wharf horizontal transportation efficiency evaluation, in particular to a container wharf horizontal transportation efficiency evaluation method, which comprises the following steps: a data integration interaction module systematically collects key information including vehicle operation data, task allocation details and port machine operation data; the data preprocessing module is used for strictly recognizing and properly processing abnormal values and missing data and ensuring the accuracy and reliability of analysis; the task cycle defining module is used for constructing a basic framework of efficiency evaluation according to a logic sequence of task execution; and the task circulation refining module is used for subdividing the task circulation into a plurality of execution links so as to deeply analyze efficiency influence factors, and visual and operable efficiency improvement suggestions are provided for users. According to the method, a task circulation-oriented container terminal horizontal transportation efficiency evaluation model is innovatively introduced, and based on all-dimensional data of vehicles, tasks and port machines, deep analysis and refined stage division of transportation task circulation are realized.

Description

Technical Field

[0001] The invention relates to the technical field of terminal horizontal transport efficiency evaluation, and in particular to a method for evaluating the horizontal transport efficiency of a container terminal. Background Art

[0002] At present, the evaluation methods of port vehicle operation efficiency are still limited to a relatively general level. The evaluation process usually relies on cumulative basic indicators such as the number of working hours of vehicles, the number of tasks completed and the number of containers handled.

[0003] By counting the total working time of the vehicle and the total number of tasks, the average time consumed in each task cycle is calculated, which is used as a criterion for judging operating efficiency.

[0004] After searching, a port operation control method and device are disclosed in the patent document with patent application number CN201911084103.X. The main methods include obtaining data distributed at each node in the entire port and energy industry chain; analyzing the data of each node to generate visual data, wherein the visual data includes: historical data and forecast data; and conducting full-factor management and scheduling of the port's human and material resources based on historical data and forecast data.

[0005] It can be seen that although this traditional evaluation model can provide an intuitive overview of vehicle operating efficiency and allow the macro differences in efficiency to be felt by comparing working hours and box volume changes across dates, it has significant limitations.

[0006] However, it fails to analyze the efficiency factors in the operation process in detail, nor can it accurately identify the efficiency bottlenecks. Therefore, it is difficult to deeply explore and explain the root causes that affect efficiency, which limits the precise formulation and implementation of efficiency optimization measures.

[0007] Based on this, the present invention optimizes the design for the problems existing in the existing port operation process, and hereby proposes a method for evaluating the horizontal transportation efficiency of a container terminal to better solve the problems existing in the prior art. Summary of the invention

[0008] The present invention solves one of the above technical problems, and the technical solution adopted is: a method for evaluating the horizontal transportation efficiency of a container terminal, comprising the following steps: Data integration and interaction module: systematically collects key information, including vehicle operation data, task allocation details, and port machinery operation data; Data preprocessing module: rigorously identify and properly handle outliers and missing data to ensure the accuracy and reliability of analysis; Task cycle definition module: scientifically divide the data into task cycles according to the logical order of task execution, and build a basic framework for efficiency evaluation; Task cycle refinement module: subdivides the task cycle into multiple execution links to facilitate in-depth analysis of factors affecting efficiency; Efficiency assessment report output module: Integrates analysis results to generate daily operational efficiency reports containing detailed analysis and insights, providing users with intuitive and actionable efficiency improvement suggestions.

[0009] In any of the above solutions, preferably, the specific working process of the data integration interaction module includes: a. Real-time vehicle operation data: The vehicle data acquisition device records vehicle dynamics with high accuracy of one frame per second, including the vehicle unique identification number (VIN), recording timestamp, instant speed and precise geographic location information, which provides a detailed vehicle behavior baseline for evaluation; b. Optimized TOS task data: The TOS task information processed by the fleet operation management system includes but is not limited to the time when the loading / unloading task instruction is issued, the time when the task is completed, the driving destination, the type and weight of the box, and the indication of the vehicle standby status. This information is crucial to understanding the efficiency of task scheduling and vehicle utilization; c. Port machinery operation data: also collected with one frame per second accuracy, including the equipment number of the port machinery (including the yard crane and the quay crane), the precise position of the trolley and the car, the signal of the locking / unlocking status, the mark of the hatch cover operation and the height parameters of the spreader, etc. This type of data is the key element to analyze the efficiency and synergy of port machinery operations.

[0010] The above data sets, through their high density and comprehensiveness, together form a powerful data foundation for evaluating port-level transportation efficiency.

[0011] In any of the above solutions, preferably, the data preprocessing is used to process outliers and missing values ​​in the data.

[0012] In any of the above solutions, preferably, the specific working process of the data preprocessing module includes: a 1 .Outlier processing: In the process of acquiring and transmitting vehicle driving data, abnormal values ​​that deviate from the normal state are generated due to external interference or technical factors; adopt the threshold screening method to preset reasonable upper and lower limits for different variables, and define the values ​​beyond this limit as abnormal values ​​and treat them as missing; The above steps are intended to eliminate potential misleading information and ensure the accuracy of the analysis results.

[0013] a2 .Missing value processing: For missing records of unique identification information such as vehicle VIN number and port machinery number, they are directly eliminated to maintain accurate data matching; For parameters with clear physical meaning and continuity, such as vehicle speed, the position of the trolley and small vehicle of the yard crane / quay crane, the forward filling method is applied to fill the missing values ​​with the most recent valid observations to ensure the consistency of the data series and the continuity requirements of the analysis; As for the missing descriptive or non-continuous parameters such as fault diagnosis information, travel destination, box type, box weight, etc., we choose to retain the empty values ​​to avoid misleading caused by unfounded filling. At the same time, these records are marked for special consideration in subsequent analysis.

[0014] Considering that the problem of missing data is caused by factors such as network instability and temporary equipment failure, a classified policy strategy is adopted: the above-mentioned flexible processing method of missing value processing not only maintains the authenticity of the data, but also reserves space for in-depth exploration of specific situations.

[0015] In any of the above solutions, preferably, the specific working process of the task cycle definition module includes: According to the unlocking and locking signals, the time of loading and unloading is determined, and then each task cycle is strictly divided according to the task instructions issued; In the continuous operation scenario, there are two rules for determining the task start time: if it is not the first task, the time when the last container in the previous task is unloaded is used as the start time of the new task; and for the first task, the time when its task instruction is issued is used as the task start time; The moment when the last container in the current task is unloaded is regarded as the end time of the task; thus, the entire period from the start to the end of the task constitutes a complete task cycle.

[0016] To further enrich the analysis dimensions, we extract relevant data such as box weight, box type, loading and unloading location, etc. from the TOS task details as additional descriptive information for the task cycle, providing more dimensional support for subsequent efficiency analysis.

[0017] In any of the above solutions, preferably, the specific working process of the task cycle refinement module includes: After establishing the framework of the task cycle, the task cycle is further deconstructed based on the detailed subtasks assigned by the fleet operation management system; This process divides the task cycle into several key stages, including: waiting for task issuance, vehicle driving, waiting for the spreader to arrive, precise vehicle parking and waiting for the spreader to operate.

[0018] Among any of the above schemes, it is preferred that the dual processes of loading and unloading be taken into consideration in actual operations, namely: the main bodies of loading and unloading boxes are vehicles, that is, loading boxes onto vehicles and unloading boxes from vehicles, and when processing double small box tasks, each small box will go through all the above stages completely, which means that some stages will be repeated N times depending on the characteristics of the task.

[0019] In any of the above schemes, it is preferred that N is 2 or 4.

[0020] Compared with the prior art, the present invention has the following beneficial effects: 1. This invention innovatively introduces a task cycle-oriented container terminal horizontal transportation efficiency evaluation model. The model is based on the comprehensive data of vehicles, tasks and port machinery, and realizes the in-depth analysis and refined stage division of the transportation task cycle. The construction of this methodology aims to provide a clear framework for analyzing the potential impact of each operation stage on the overall efficiency, which greatly improves the sophistication and accuracy of efficiency evaluation.

[0021] 2. This method aims to comprehensively evaluate the operational efficiency of horizontal transportation at container terminals. It uses the interactive data of multiple source systems such as fleet operation management, horizontal transportation vehicles, terminal operating system (hereinafter referred to as TOS) and port machinery to achieve a refined division of tasks. It can further decompose vehicle tasks into multiple specific sub-task links for in-depth analysis. It not only refines the evaluation granularity, but also provides a scientific basis for accurately quantifying and improving vehicle operating efficiency, thereby gaining deep insight into and optimizing the efficiency of the entire transportation process.

[0022] 3. A series of steps in each module of the present invention can constitute a closed-loop evaluation system, aiming to optimize the horizontal transportation efficiency of container terminals in an all-round and multi-level manner.

[0023] 4. In the past, the evaluation of fleet operation efficiency often remained at the macro and general judgment of daily production efficiency, while the present invention has achieved a fundamental change in the evaluation perspective, enabling it to accurately locate which specific operation stage's time consumption exceeds the standard, thus becoming a bottleneck that drags down the overall efficiency. Through this refined evaluation system, it can not only provide a quantitative and accurate "physical examination report" for the production efficiency of horizontal transportation at container terminals, but also intuitively reveal the key nodes that affect efficiency, providing a scientific basis and implementation path for subsequent efficiency optimization and management decisions.

[0024] 5. The innovative task cycle segmentation method systematically reconstructs the understanding dimension of the port operation process; the carefully designed 18 micro-task stage division system lays a solid foundation for in-depth exploration of various aspects of operation efficiency; the unique conversion strategy, that is, the 18 detailed task steps arranged in time series are cleverly transformed into a goal-oriented analysis framework with yard and quay crane operations as the core, which significantly enhances the pertinence and practicality of the analysis. DETAILED DESCRIPTION

[0025] The following embodiments of the technical solution of the present invention are described in detail. The following embodiments are only used to more clearly illustrate the technical solution of the present invention, and are therefore only used as examples, and cannot be used to limit the protection scope of the present invention.

[0026] Embodiment 1: A method for evaluating horizontal transportation efficiency of a container terminal, comprising the following steps: Data integration and interaction module: systematically collects key information, including vehicle operation data, task allocation details, and port machinery operation data; Data preprocessing module: rigorously identify and properly handle outliers and missing data to ensure the accuracy and reliability of analysis; Task cycle definition module: scientifically divide the data into task cycles according to the logical order of task execution, and build a basic framework for efficiency evaluation; Task cycle refinement module: subdivides the task cycle into multiple execution links to facilitate in-depth analysis of factors affecting efficiency; Efficiency assessment report output module: Integrates analysis results to generate daily operational efficiency reports containing detailed analysis and insights, providing users with intuitive and actionable efficiency improvement suggestions.

[0027] In any of the above solutions, preferably, the specific working process of the data integration interaction module includes: a. Real-time vehicle operation data: The vehicle data acquisition device records vehicle dynamics with high accuracy of one frame per second, including the vehicle unique identification number (VIN), recording timestamp, instant speed and precise geographic location information, which provides a detailed vehicle behavior baseline for evaluation; b. Optimized TOS task data: The TOS task information processed by the fleet operation management system includes but is not limited to the time when the loading / unloading task instruction is issued, the time when the task is completed, the driving destination, the type and weight of the box, and the indication of the vehicle standby status. This information is crucial to understanding the efficiency of task scheduling and vehicle utilization; c. Port machinery operation data: also collected with one frame per second accuracy, including the equipment number of the port machinery (including the yard crane and the quay crane), the precise position of the trolley and the car, the signal of the locking / unlocking status, the mark of the hatch cover operation and the height parameters of the spreader, etc. This type of data is the key element to analyze the efficiency and synergy of port machinery operations.

[0028] The above data sets, through their high density and comprehensiveness, together form a powerful data foundation for evaluating port-level transportation efficiency.

[0029] In any of the above solutions, preferably, the data preprocessing is used to process outliers and missing values ​​in the data.

[0030] In any of the above solutions, preferably, the specific working process of the data preprocessing module includes: a 1 .Outlier processing: In the process of acquiring and transmitting vehicle driving data, abnormal values ​​that deviate from the normal state are generated due to external interference or technical factors; adopt the threshold screening method to preset reasonable upper and lower limits for different variables, and define the values ​​beyond this limit as abnormal values ​​and treat them as missing; The above steps are intended to eliminate potential misleading information and ensure the accuracy of the analysis results.

[0031] a 2 .Missing value processing: For missing records of unique identification information such as vehicle VIN number and port machinery number, they are directly eliminated to maintain accurate data matching; For parameters with clear physical meaning and continuity, such as vehicle speed and the position of the trolley and small vehicle of the yard crane / quay crane, the forward filling method is applied to fill the missing values ​​with the most recent valid observations to ensure the consistency of the data series and the continuity requirements of the analysis; As for the missing descriptive or non-continuous parameters such as fault diagnosis information, travel destination, box type, box weight, etc., we choose to retain the empty values ​​to avoid misleading caused by unfounded filling. At the same time, these records are marked for special consideration in subsequent analysis.

[0032] Considering that the problem of missing data is caused by factors such as network instability and temporary equipment failure, a classified policy strategy is adopted: the above-mentioned flexible processing method of missing value processing not only maintains the authenticity of the data, but also reserves space for in-depth exploration of specific situations.

[0033] In any of the above solutions, preferably, the specific working process of the task cycle definition module includes: According to the unlocking and locking signals, the time of loading and unloading is determined, and then each task cycle is strictly divided according to the task instructions issued; In the continuous operation scenario, there are two rules for determining the task start time: if it is not the first task, the time when the last container in the previous task is unloaded is used as the start time of the new task; and for the first task, the time when its task instruction is issued is used as the task start time; The moment when the last container in the current task is unloaded is regarded as the end time of the task; thus, the entire period from the start to the end of the task constitutes a complete task cycle.

[0034] To further enrich the analysis dimensions, we extract relevant data such as box weight, box type, loading and unloading location, etc. from the TOS task details as additional descriptive information for the task cycle, providing more dimensional support for subsequent efficiency analysis.

[0035] In any of the above solutions, preferably, the specific working process of the task cycle refinement module includes: After establishing the framework of the task cycle, the task cycle is further deconstructed based on the detailed subtasks assigned by the fleet operation management system; This process divides the task cycle into several key stages, including: waiting for task issuance, vehicle driving, waiting for the spreader to arrive, precise vehicle parking and waiting for the spreader to operate.

[0036] Among any of the above schemes, it is preferred that the dual processes of loading and unloading be taken into consideration in actual operations, namely: the main bodies of loading and unloading boxes are vehicles, that is, loading boxes onto vehicles and unloading boxes from vehicles, and when processing double small box tasks, each small box will go through all the above stages completely, which means that some stages will be repeated N times depending on the characteristics of the task.

[0037] In any of the above schemes, it is preferred that N is 2 or 4.

[0038] Embodiment 2: This embodiment adds the following technical features based on Embodiment 1: Next, we will elaborate on the logic and standards for the division of each stage, aiming to provide a clear path for understanding and optimizing the entire horizontal transportation process.

[0039] Waiting for the packing task to be issued: Start time: the end time of the previous task cycle, i.e. the start time of this cycle; End time: the time when TOS issues the packing task.

[0040] Loading the first box of vehicle driving stage: Start time: The time when TOS issues the packing task.

[0041] End time: the time when the vehicle arrives at the designated location for the first box packing task.

[0042] Loading the first box and waiting for the spreader to arrive: Start time: The time when the vehicle arrives at the designated location for the first box packing task.

[0043] End time: The time when both the vehicle and the spreader arrive at the designated location for the first box packing task. If the spreader arrives before the vehicle, the duration of this stage is 0.

[0044] Precise parking stage for loading the first box of vehicles: Start time: The time when the vehicle and the spreader arrive at the designated location for the first box loading task.

[0045] End time: The moment when the vehicle completes the precise parking operation corresponding to the first box task and enters the parking operation state.

[0046] Loading the first box and waiting for the spreader operation stage: Start time: The moment when the vehicle completes the precise parking operation corresponding to the first box task and enters the parking operation state.

[0047] End time: The time when the first box is packed.

[0048] The vehicle driving stage when loading the second box (this stage only exists in the double small box task, and the subsequent second box stage is the same, so I will not go into details): Since the packing task destinations for the two small boxes are sent out at the same time when the packing task is sent out, there is no stage of waiting for the second box packing task to be sent out.

[0049] Start time: The time when the first box is packed.

[0050] End time: the time when the vehicle arrives at the designated location for the second box packing task.

[0051] Loading the second box and waiting for the spreader to arrive: Start time: The time when the vehicle arrives at the designated location for the second box packing task.

[0052] End time: The time when both the vehicle and the spreader arrive at the designated location for the second box packing task. If the spreader arrives before the vehicle, the duration of this stage is 0.

[0053] Precise parking phase for loading the second box of vehicles: Start time: The time when both the vehicle and the spreader arrive at the designated location for the second box packing task.

[0054] End time: The moment when the vehicle completes the precise parking operation corresponding to the second box task and enters the parking operation state.

[0055] Loading the second box and waiting for the spreader operation stage: Start time: The moment when the vehicle completes the precise parking operation corresponding to the second box task and enters the parking operation state.

[0056] End time: The time when the second box is packed.

[0057] Waiting for the unloading task to be issued: Start time: If it is a double-box task, it is the time when the second box is packed; otherwise, it is the time when the first box is packed.

[0058] End time: The time when TOS issues the unloading task.

[0059] Unloading the first box of vehicle driving stage: Start time: The time when TOS issues the packing task.

[0060] End time: the time when the vehicle arrives at the designated location for the first box packing task.

[0061] Unloading the first box and waiting for the spreader to arrive: Start time: The time when the vehicle arrives at the designated location for the first box unloading task.

[0062] End time: The time when both the vehicle and the spreader arrive at the designated position for the first unloading task. If the spreader arrives before the vehicle, the duration of this stage is 0.

[0063] Precise parking stage for unloading the first container: Start time: The time when the vehicle and the spreader arrive at the designated location for the first box unloading task.

[0064] End time: The moment when the vehicle completes the precise parking operation corresponding to the first box task and enters the parking operation state.

[0065] Unloading the first box and waiting for the spreader operation stage: Start time: The moment when the vehicle completes the precise parking operation corresponding to the first box task and enters the parking operation state.

[0066] End time: the time when the first box is unloaded.

[0067] Unloading the second box of vehicle driving stage: Since the unloading task destinations of the two small boxes will be issued at the same time when the unloading task is issued, there is no stage of waiting for the unloading task of the second box to be issued.

[0068] Start time: The time when the first box is unloaded.

[0069] End time: The time when the vehicle arrives at the designated location for the second box unloading task.

[0070] Unloading the second box and waiting for the spreader to arrive: Start time: The time when the vehicle arrives at the designated location for the second box unloading task.

[0071] End time: The time when both the vehicle and the spreader arrive at the designated position for the second unloading task. If the spreader arrives before the vehicle, the duration of this stage is 0.

[0072] Precise parking stage for unloading the second container: Start time: The time when the vehicle and the spreader arrive at the designated location for the second box unloading task.

[0073] End time: The moment when the vehicle completes the precise parking operation corresponding to the second box task and enters the parking operation state.

[0074] Unloading the second box and waiting for the spreader operation stage: Start time: The moment when the vehicle completes the precise parking operation corresponding to the second box task and enters the parking operation state.

[0075] End time: The time when the second box is unloaded.

[0076] So far, we have carefully deconstructed the task cycle into eighteen key links. In view of the differences in the operating methods of the yard and the quay crane, distinguishing them from the perspective of the operating location can bring deeper insights to our analysis work compared to following the operating process. Based on this consideration, we have adjusted the parts of the previously defined eighteen stages involving loading and unloading according to the actual operating area (yard or quay crane). Specifically, whenever the loading / unloading tasks occur in the quay crane or yard crane environment, the corresponding stages are redefined as "quay crane operation stage" or "yard crane operation stage". After this optimization, the subdivision structure of the cycle process has been clarified, and the specific detailed task stages are as follows: 1. Waiting for the packing task to be issued; 2. The first vehicle driving phase of the quay crane mission; 3. The first container of the quay crane task is waiting for the spreader to arrive; 4. The first precise parking phase of the quay crane mission; 5. The first container of the quay crane task is waiting for the spreader operation stage; 6. The second vehicle driving phase of the quay crane mission; 7. The second container of the quay crane task is waiting for the spreader to arrive; 8. The second vehicle precision parking phase of the quay crane mission; 9. The second container of the quay crane task is waiting for the spreader operation stage; 10. Waiting for the unloading task to be issued; 11. The first vehicle driving phase of the yard mission; 12. The first container of the yard task is waiting for the spreader to arrive; 13. The first precise parking phase of the vehicle in the yard mission; 14. The first container of the yard task is waiting for the spreader operation stage; 15. The second vehicle driving phase of the yard mission; 16. The second container of the yard task is waiting for the spreader to arrive; 17. The second vehicle precise parking phase of the yard mission; 18. The second container of the yard task is waiting for the spreader operation stage; 5. Output of efficiency evaluation report; The efficiency evaluation report contains the following two parts during the analysis period: a. Job Overview: Number of operating vehicles, total number of tasks, total task duration, total mileage, average task duration, total box volume, etc. b. Task cycle decomposition and analysis.

[0077] The average and median durations of the above 18 refined cycle stages are shown, and the worst-performing 10% of task cycles in each stage are extracted and displayed to facilitate detailed analysis of abnormal periods.

[0078] All the above data indicators will give corresponding reference values ​​to facilitate users to capture abnormal information.

[0079] In summary, it can be seen that the present invention innovatively introduces a task cycle-oriented container terminal horizontal transportation efficiency evaluation model, which is based on the comprehensive data of vehicles, tasks and port machinery, and realizes the in-depth analysis and refined stage division of the transportation task cycle. The construction of this methodology aims to provide a clear framework for analyzing the potential impact of each operation stage on the overall efficiency, which greatly improves the sophistication and accuracy of the efficiency evaluation; this method aims to comprehensively evaluate the operational efficiency of horizontal transportation at container terminals, and uses the interactive data of multi-source systems such as fleet operation management, horizontal transportation vehicles, terminal operating system (hereinafter referred to as TOS) and port machinery to achieve refined division of tasks, which can further decompose vehicle tasks into multiple specific sub-task links for in-depth analysis; not only refines the evaluation granularity, but also provides a scientific basis for accurately quantifying and improving vehicle operation efficiency, thereby deeply insight into and optimizes the efficiency of the entire transportation process; a series of steps in each module can constitute a closed-loop evaluation system, which aims to optimize the horizontal transportation efficiency of container terminals in an all-round and multi-level manner. In the past, the evaluation of fleet operation efficiency often remained at the macro and general judgment of daily production efficiency, while the present invention has achieved a fundamental change in the evaluation perspective, making it possible to accurately locate which specific operation stage's time consumption exceeds the standard, thus becoming a bottleneck that drags down the overall efficiency. Through this refined evaluation system, not only can a quantitative and stage-accurate "physical examination report" be provided for the production efficiency of horizontal transportation at container terminals, but the key nodes that affect efficiency can also be intuitively revealed, providing a scientific basis and implementation path for subsequent efficiency optimization and management decisions. The innovative task cycle subdivision method proposed by the present invention systematically reconstructs the understanding dimension of the port operation process; the carefully designed eighteen micro-task stage division system lays a solid foundation for in-depth exploration of various aspects of operation efficiency; the unique conversion strategy, that is, the eighteen detailed task steps arranged in time series are cleverly transformed into a goal-oriented analysis framework with yard and quay crane operations as the core, which significantly enhances the pertinence and practicality of the analysis.

[0080] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention is described in detail with reference to the above embodiments, those skilled in the art should understand that the technical solutions described in the above embodiments can still be modified, or some or all of the technical features can be replaced by equivalents. These modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present invention. For those skilled in the art, any replacement, improvement or change made to the implementation mode of the present invention falls within the protection scope of the present invention.

[0081] The matters not described in detail in the present invention are all known technologies to those skilled in the art.

Claims

1. A method for evaluating horizontal transportation efficiency of a container terminal, characterized by: The steps include: Data integration and interaction module: systematically collects key information, including vehicle operation data, task allocation details, and port machinery operation data; Data preprocessing module: rigorously identify and properly handle outliers and missing data to ensure the accuracy and reliability of analysis; Task cycle definition module: scientifically divide the data into task cycles according to the logical order of task execution, and build a basic framework for efficiency evaluation; Task cycle refinement module: subdivides the task cycle into multiple execution links to facilitate in-depth analysis of factors affecting efficiency; Efficiency assessment report output module: Integrates analysis results to generate daily operational efficiency reports containing detailed analysis and insights, providing users with intuitive and actionable efficiency improvement suggestions.

2. The method for evaluating horizontal transportation efficiency of a container terminal according to claim 1, characterized in that: The specific working process of the data integration interaction module includes: a. Real-time vehicle operation data: The vehicle data acquisition device records vehicle dynamics with high accuracy of one frame per second, including the vehicle unique identification number (VIN), recording timestamp, instant speed and precise geographic location information, which provides a detailed vehicle behavior baseline for evaluation; b. Optimized TOS task data: The TOS task information processed by the fleet operation management system includes but is not limited to the time when the loading / unloading task instruction is issued, the time when the task is completed, the driving destination, the type and weight of the box, and the indication of the vehicle standby status. This information is crucial to understanding the efficiency of task scheduling and vehicle utilization; c. Port machinery operation data: also collected with one frame per second accuracy, including the equipment number of the port machinery (including the yard crane and the quay crane), the precise position of the trolley and the car, the signal of the locking / unlocking status, the mark of the hatch cover operation and the height parameters of the spreader, etc. This type of data is the key element to analyze the efficiency and synergy of port machinery operations.

3. The method for evaluating horizontal transportation efficiency of a container terminal according to claim 2, characterized in that: The data preprocessing is used to process outliers and missing values ​​in the data.

4. The method for evaluating horizontal transportation efficiency of a container terminal according to claim 3, characterized in that: The specific working process of the data preprocessing module includes: a1. Outlier processing: In the process of acquiring and transmitting vehicle driving data, abnormal values ​​that deviate from the normal state are generated due to external interference or technical factors; adopt the threshold screening method to preset reasonable upper and lower limits for different variables, and define the values ​​beyond this limit as abnormal values ​​and treat them as missing; a2. Missing value processing: For missing records of unique identification information such as vehicle VIN number and port machinery number, they are directly eliminated to maintain accurate data matching; For parameters with clear physical meaning and continuity, such as vehicle speed, the position of the trolley and small vehicle of the yard crane / quay crane, the forward filling method is applied to fill the missing values ​​with the most recent valid observations to ensure the consistency of the data series and the continuity requirements of the analysis; As for the missing descriptive or non-continuous parameters such as fault diagnosis information, travel destination, box type, box weight, etc., we choose to retain the empty values ​​to avoid misleading caused by unfounded filling. At the same time, these records are marked for special consideration in subsequent analysis.

5. The method for evaluating horizontal transportation efficiency of a container terminal according to claim 4, characterized in that: The specific working process of the task cycle definition module includes: According to the unlocking and locking signals, the time of loading and unloading is determined, and then each task cycle is strictly divided according to the task instructions issued; In the continuous operation scenario, there are two rules for determining the task start time: if it is not the first task, the time when the last container in the previous task is unloaded is used as the start time of the new task; and for the first task, the time when its task instruction is issued is used as the task start time; The moment when the last container in the current task is unloaded is regarded as the end time of the task; thus, the entire period from the start to the end of the task constitutes a complete task cycle.

6. The method for evaluating horizontal transportation efficiency of a container terminal according to claim 5, characterized in that: The specific working process of the task cycle refinement module includes: After establishing the framework of the task cycle, the task cycle is further deconstructed based on the detailed subtasks assigned by the fleet operation management system; This process divides the task cycle into several key stages, including: waiting for task issuance, vehicle driving, waiting for the spreader to arrive, precise vehicle parking and waiting for the spreader to operate.

7. The method for evaluating horizontal transportation efficiency of a container terminal according to claim 6, characterized in that: In view of the dual processes of loading and unloading that need to be taken into account in actual operations, that is, the main bodies of loading and unloading boxes are vehicles, that is, loading boxes onto vehicles and unloading boxes from vehicles, and when processing double-small-box tasks, each small box will go through all the above stages completely, which means that some stages will be repeated N times depending on the characteristics of the task.

8. The method for evaluating horizontal transportation efficiency of a container terminal according to claim 7, characterized in that: in, N is 2 or 4.