Container wharf port operation efficiency evaluation method and system

Abstract

The invention relates to the technical field of information and communication technologies suitable for management or supervision, in particular to a container wharf port operation efficiency evaluation method and system, and the method comprises the steps: obtaining ship berthing data in a target time period, and obtaining a berthing data set; screening container loading capacity data from the berthing data set to obtain a loading capacity data set; performing availability index evaluation on the loading capacity data set to obtain an availability result; and executing an input efficiency model on the availability result, and performing efficiency evaluation. Through targeted combination of the availability index and the efficiency model, accurate evaluation of the port operation efficiency is realized, and meanwhile, because the focused evaluation data is screened and cleaned data, the data can be executed more quickly when being used, and then rapid evaluation of the port operation efficiency is realized.

Description

Technical Field

[0001] The present application relates to the technical field of information and communication technology suitable for management or supervision purposes, and in particular to a method for evaluating the efficiency of container terminal port operations, and also to a system. Background Art

[0002] Ports are a strong driving force for world economic growth. Currently, research and application of port management mainly conduct applied analysis and research on port development from the perspectives of port energy planning, platform development and operational efficiency.

[0003] In the prior art, there is a Chinese invention patent application with a publication date of February 27, 2024, publication number CN117611066A, and name “Full-element and Full-process Energy Management and Control Platform for Container Port Terminals”. It discloses that the port energy supply and energy consumption plan is managed through a production planning module; the energy consumption of port equipment is managed through an equipment management module; the port microgrid is managed through an energy management module; the bottlenecks of port energy supply and demand are identified through an operation process module, and business procedures for eliminating bottlenecks in energy supply and demand for production tasks are formulated for the production planning module; the port environment is monitored through an environmental monitoring module, and pollution sources are identified and calibrated; the port green evaluation is quantitatively evaluated through an evaluation index module, and real-time quantitative results of indicators are provided for the environmental supervision module.

[0004] The above technical solution provides a port energy supply and demand solution, optimizes the port microgrid regulation, dynamically monitors and evaluates the port environment, and effectively reduces the overall port operating costs, carbon emissions and pollutant emissions. Based on the evaluation of the port environment, this application proposes another method for evaluating port operating efficiency through port container throughput. Summary of the invention

[0005] The inventor discovered through research that: the requirements for port construction are increasing, and it is of profound significance to conduct research on the construction of all elements and processes of port production and operation. Under this tone, in order to ensure the smooth development of port construction, the efficiency of port operations becomes very important, and the container throughput of the port is one of the important evaluation criteria.

[0006] The purpose of this application is to provide a method and system for evaluating the efficiency of container terminal port operations, and to provide a new technical problem of a method for accurately and quickly evaluating port operation efficiency by combining availability index evaluation and efficiency model.

[0007] According to one aspect of the present application, a method for evaluating the efficiency of port operations at a container terminal is provided, which is executed by a processor and includes: acquiring ship berthing data during a target period to obtain a berthing data set; screening the berthing data set to obtain container loading data to obtain a loading data set; performing an availability index evaluation on the loading data set to obtain an availability result; and executing an input efficiency model on the availability result to perform efficiency evaluation.

[0008] In some embodiments, the berthing data set includes at least the berthing duration of the target ship in the target time period and the berthing route of the target ship.

[0009] In some embodiments, obtaining the berthing data set specifically comprises: performing clustering on the berthing duration of the target ship in the target time period; performing a binary search on the berthing route of the target ship; and obtaining the berthing data set by integrating the data after clustering and binary search.

[0010] In some embodiments, the filtering out of container loading data from the berthing data set is specifically: performing fuzzy acquisition on the container loading of the ship in the berthing data set; performing a primary data analysis on the fuzzy acquisition result to obtain a filtering result; and performing a secondary data analysis on the filtering result to obtain an accurate result.

[0011] In some embodiments, the performing of the availability index evaluation on the load data set to obtain the availability result specifically includes: performing the availability index evaluation on the precise result.

[0012] In some embodiments, the availability index evaluation is specifically as follows: if the availability index value is 0.5, it means that the number of containers entering and leaving the target port is the same; if the availability index value is greater than 0.5, it means that the number of containers entering the target port is greater than the number of containers leaving the target port; if the availability index value is less than 0.5, it means that the number of containers leaving the target port is greater than the number of containers entering the target port.

[0013] In some embodiments, data cleaning is performed on data sets with availability index values ​​greater than 0.5 and availability index values ​​less than 0.5 to obtain availability result data.

[0014] In some embodiments, the execution of the input efficiency model on the availability results and the performance of efficiency evaluation are specifically as follows: data clustering is performed on the availability results to form fuzzy and clear data sets; and the input efficiency model is executed on the fuzzy data set and the cleaned data set respectively to perform efficiency evaluation.

[0015] In some embodiments, the efficiency model is:

[0016]

[0017] Ε1=|Ε m -Εs |

[0018] Ε2=|Ε q -Ε s |

[0019] Wherein, E is the efficiency ratio; E1 is the estimated efficiency calculation of the fuzzy data set; E2 is the estimated efficiency calculation of the clear data set; E m is the fuzzy valuation; q For clear valuation; s The default standard valuation.

[0020] According to another aspect of the present application, a container terminal port operation efficiency evaluation system is provided, comprising:

[0021] An acquisition module, the acquisition module is used to acquire ship berthing data during a target period to obtain a berthing data set;

[0022] A screening module, wherein the screening module is used to screen the container loading data from the berthing data set to obtain the loading data set;

[0023] An evaluation module, the evaluation module is used to perform availability index evaluation on the load data set to obtain an availability result;

[0024] An evaluation module is used to input an efficiency model to the availability result to perform efficiency evaluation.

[0025] Compared with the prior art, the present application has the following advantages and beneficial effects: the present application realizes accurate evaluation of port operation efficiency by combining the availability index and the efficiency model in a targeted manner. At the same time, since the data focused on for evaluation is data that has been screened and cleaned, the data can be executed faster when used, thereby realizing rapid evaluation of port operation efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0027] Figure 1 is a flow chart of the evaluation method of this application;

[0028] Figure 2 It is a schematic diagram of the composition of the evaluation system of this application. DETAILED DESCRIPTION

[0029] The following will be combined with the attached examples of the present application Figure 1-2 The technical solutions in the embodiments of the present application are clearly and completely described together. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments.

[0030] Application Overview

[0031] The relevant departments issued the "Guiding Opinions on Building World-Class Ports", proposing to "build a safe, convenient, smart, green, economical and efficient, well-supported, and world-leading world-class port". Among them, economic efficiency is mainly characterized by indicators such as the comprehensive cost of the port, port operating efficiency, and berth specialization rate. The port operating efficiency reflects the terminal loading and unloading efficiency and the average stay time of the ship in the port. It comprehensively monitors the efficiency of single machines and single ships at the terminal, the efficiency of passengers boarding and disembarking, and the average stop time of ships in and out of the port. Based on the above, the evaluation of the container operating efficiency of the terminal port has become an important link in the construction of the port. This link needs to be equipped with a more accurate evaluation method or related system. This application focuses on this, and through the availability index evaluation combined with the efficiency model, accurate and fast evaluation of container operating efficiency can be achieved, laying a good foundation for the future construction of the port.

[0032] Exemplary Methods

[0033] The container terminal port operation efficiency evaluation method is executed by a processor. It is understandable that the processor can be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc.

[0034] Specifically, it includes: obtaining the ship berthing data during the target period to obtain the berthing data set; filtering the container loading data from the berthing data set to obtain the loading data set; performing an availability index evaluation on the loading data set to obtain the availability results; and inputting the efficiency model into the availability results to conduct efficiency evaluation. It is understandable that the requirements for port construction are increasing, and it is of profound significance to conduct research on the construction of all elements and processes of port production and operation. Under this tone, in order to ensure the smooth development of port construction, the efficiency of port operations is very important, and the container throughput of the port is one of the important evaluation criteria.

[0035] Below, each step is described in detail:

[0036] In some possible implementations, the berthing data set includes at least the berthing duration of the target ship in the target time period and the berthing route of the target ship. Different target values ​​may also be determined and selected according to different ports.

[0037] In some possible implementations, a berthing data set is obtained, specifically, by: clustering the berthing time of the target ship in the target time period; performing a binary search on the berthing route of the target ship; and obtaining the berthing data set by integrating the data after clustering and binary search. In detail, after obtaining the berthing time of the target ship in the target time period, the time is classified by different characteristics through clustering, and the characteristic reference is the preset value of the time. At this time, the data will be divided into two types of values ​​that are higher than the preset value and lower than the preset value; then, a binary search is performed on the berthing route, and the berthing route is subjected to at least two standard classification search processes, and the classification basis is the preset berthing distance. At this time, the berthing distance includes long distances and short distances compared with the preset berthing distance, and the aforementioned data will be integrated into a berthing data set.

[0038] In some possible implementations, the container loading data is screened out from the berthing data set, specifically: fuzzy acquisition is performed on the container loading of the ships in the berthing data set; a data analysis is performed on the fuzzy acquisition result to obtain a filtering result; a secondary data analysis is performed on the filtering result to obtain an accurate result. In detail, a data analysis is performed on the container loading of the ships corresponding to the berthing time longer than the preset value and the ships corresponding to the long distance after the preset berthing distance, and the loading source, type and actual weight of the containers are obtained by analysis, and then a secondary data analysis is performed on the aforementioned source, type and actual weight to obtain data information of the loaded containers of the ships that are more directly related to the development and construction of the target port, and the data information at least includes the loading source, type and actual weight, so that the relevant information can be quickly and directly understood.

[0039] In some possible implementations, an availability index evaluation is performed on the load data set to obtain an availability result, specifically: an availability index evaluation is performed on the precise result. In detail, the availability index evaluation is specifically: if the availability index value is 0.5, it means that the number of containers entering and leaving the target port is the same; if the availability index value is greater than 0.5, it means that the number of containers entering the target port is more than the number of containers leaving the target port; if the availability index value is less than 0.5, it means that the number of containers leaving the target port is greater than the number of containers entering the target port. It should be noted that the container availability index, referred to as CAx, is used to measure the availability of containers in ports around the world. The index takes a single port as the evaluation object and is calculated by the ratio of the number of containers entering the port to the total number of containers entering and leaving the port. Based on this, it can be understood that the container availability of the target ship at the target port can be obtained more accurately by using the availability index to perform the evaluation.

[0040] In some possible implementations, data cleaning is performed on data sets with availability index values ​​greater than 0.5 and availability index values ​​less than 0.5 to obtain availability result data.

[0041] The input efficiency model is executed on the usability results to perform efficiency evaluation, specifically: data clustering is performed on the usability results to form fuzzy and clean data sets; the input efficiency model is executed on the fuzzy data set and the cleaned data set respectively to perform efficiency evaluation.

[0042] Specifically, the efficiency model is:

[0043]

[0044] Ε1=|Ε m -Ε s

[0045] Ε2=|Ε q -Ε s

[0046] Wherein, E is the efficiency ratio; E1 is the estimated efficiency calculation of the fuzzy data set; E2 is the estimated efficiency calculation of the clear data set; E m is the fuzzy valuation; q For clear valuation; s The default standard valuation.

[0047] In detail, it can be understood that the availability results are clustered and divided into fuzzy data sets and clear data sets. The fuzzy data sets include the general situation of the containers of the target ship, and the clear data sets include the clear situation of the containers of the target ship. Then, after obtaining the above situation, based on the standard valuation of the preset container, the fuzzy data set efficiency calculation valuation and the clear data set efficiency calculation valuation are obtained. It can be understood that the object of the valuation is the availability of the container, that is, the standard availability of the preset container, the fuzzy data set efficiency calculation availability and the clear data set efficiency calculation availability. Further, when E is greater than 100%, it means that the container operation efficiency of the target port is low; when E is less than or equal to 100%, it means that the container operation efficiency of the target port is qualified or efficient.

[0048] Exemplarily, the present application also provides a container terminal port operation efficiency evaluation system. It can be understood that the aforementioned method can be understood as a computer program, and the program can be divided into one or more modules, one or more modules are stored in the memory, constitute the system of the present application, and are executed by the processor to complete the present application. One or more modules can be a series of computer program instruction segments that can perform specific functions, and the instruction segments are used to describe the execution process of the computer program in a possible device. For example, a computer program can be divided into an acquisition module, a screening module, an evaluation module, and an evaluation module, and the specific functions of each module are as follows:

[0049] The acquisition module is used to obtain the ship berthing data during the target period and obtain the berthing data set;

[0050] The screening module is used to screen the container loading data from the berthing data set to obtain the loading data set;

[0051] The evaluation module is used to perform availability index evaluation on the load data set to obtain availability results;

[0052] The evaluation module is used to execute the input efficiency model on the availability results and perform efficiency evaluation.

[0053] The above shows and describes the basic principles and main features of the present application and the advantages of the present application. For those skilled in the art, it is obvious that the present application is not limited to the details of the above exemplary embodiments, and the present application can be implemented in other specific forms without departing from the spirit or basic features of the present application. Therefore, no matter from which point of view, the embodiments should be regarded as exemplary and non-restrictive. The scope of the present application is defined by the attached claims rather than the above description, and it is intended that all changes falling within the meaning and scope of the equivalent elements of the claims are included in the present application. Any figure mark in the claims should not be regarded as limiting the claims involved.

[0054] In addition, it should be understood that although the present specification is described according to implementation modes, not every implementation mode contains only one independent technical solution. This description of the specification is only for the sake of clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each embodiment may also be appropriately combined to form other implementation modes that can be understood by those skilled in the art.

Claims

1. A method for evaluating the efficiency of container terminal port operations, the method being executed by a processor, characterized in that: include: Obtain the ship berthing data during the target period and obtain the berthing data set; Filtering the container loading data from the berthing data set to obtain the loading data set; Perform availability index evaluation on the load data set to obtain availability results; The availability results are input into the efficiency model to perform efficiency evaluation.

2. The method according to claim 1, characterized in that The berthing data set at least includes the berthing duration of the target ship in the target time period and the berthing route of the target ship.

3. The method according to claim 2, characterized in that The obtained docking data set is specifically: Perform clustering on the berthing time of the target ship in the target time period; Perform a binary search on the berthing route of the target ship; After comprehensive clustering and binary search, we get the docking data set.

4. The method according to claim 1, characterized in that: The method of filtering out container loading data from the berthing data set is as follows: Perform fuzzy acquisition on the container load of ships in the berthing dataset; Perform a data analysis on the fuzzy acquisition result to obtain the filtering result; Perform secondary data analysis on the filtered results to obtain precise results.

5. The method according to claim 4, characterized in that The performing of the availability index evaluation on the load data set to obtain the availability result specifically includes: performing the availability index evaluation on the precise result.

6. The method according to claim 5, characterized in that The availability index is evaluated as follows: if the availability index value is 0.5, it means that the number of containers entering and leaving the target port is the same; if the availability index value is greater than 0.5, it means that the number of containers entering the target port is greater than the number of containers leaving the target port; if the availability index value is less than 0.5, it means that the number of containers leaving the target port is greater than the number of containers entering the target port.

7. The method according to claim 6, characterized in that Data cleaning is performed on the data sets with availability index values ​​greater than 0.5 and availability index values ​​less than 0.5 to obtain availability result data.

8. The method according to claim 1, characterized in that The input efficiency model is executed on the availability result to perform efficiency evaluation, specifically: Perform data clustering on the availability results to form fuzzy and sharp data groups; The input efficiency model is executed on the fuzzy data set and the cleaned data set respectively, and the efficiency evaluation is performed.

9. The method according to claim 8, characterized in that The efficiency model is: E1=|E m -E s E2=|E q -E s Wherein, E is the efficiency ratio; E1 is the estimated efficiency calculation of the fuzzy data set; E2 is the estimated efficiency calculation of the clear data set; E m is the fuzzy valuation; q For clear valuation; s The default standard valuation.

10. A container terminal port operation efficiency evaluation system, characterized in that: include: An acquisition module, the acquisition module is used to acquire ship berthing data during a target period to obtain a berthing data set; A screening module, wherein the screening module is used to screen the container loading data from the berthing data set to obtain the loading data set; An evaluation module, the evaluation module is used to perform availability index evaluation on the load data set to obtain an availability result; An evaluation module is used to input an efficiency model to the availability result to perform efficiency evaluation.

Images