Port operation efficiency real-time analysis method and system

Abstract

This invention discloses a method and system for real-time analysis of port operation efficiency. Based on AIS data, a data model is constructed. Using this data model and incorporating time attributes, vessel and port information at any given time is obtained. Based on the data model and the vessel and port information, data is sampled N times per day for several monitoring indicators of the target port. The daily average values ​​corresponding to each monitoring indicator are calculated and used as statistical values ​​for the monitoring indicators. Using these statistical values ​​as the data source, candlestick chart analysis is employed to analyze the operational efficiency of the target port under each of the several monitoring indicators. This invention enables real-time monitoring of port dynamics and effective analysis of port operation efficiency, providing a basis for improving port operation efficiency.

Description

Technical Field

[0001] This invention relates to the field of port operation analysis, and specifically to a method and system for real-time analysis of port operation efficiency. Background Technology

[0002] Ports are crucial nodes in domestic and international trade, indispensable comprehensive transportation hubs, and strategic resources and vital supports for economic and social development, playing a vital role in national economic and trade development. With the continuous development of global trade, maritime trade between countries is becoming increasingly frequent, leading to more severe port congestion. Currently, port congestion has spread to all major ports worldwide, with an increasing number of container ships from all five continents waiting for berths. Ships stranded at port anchorages are exacerbating the pressure on global shipping and supply chains. Port congestion leads to persistently high demand for maritime transport, resulting in container shortages, rising freight rates, and frequent port-hopping incidents.

[0003] Port operational efficiency significantly impacts global supply chain fluctuations and is a crucial factor in evaluating port development. Analyzing and predicting port operational efficiency provides a clear picture of each port's development, helps identify key factors hindering efficiency, and facilitates targeted improvements to address port congestion. Therefore, how to conduct real-time and effective analysis of port operational efficiency is a pressing issue that needs to be addressed. Summary of the Invention

[0004] In view of this, the purpose of this invention is to overcome the deficiencies in the prior art and provide a method and system for real-time analysis of port operation efficiency, which can monitor port dynamics in real time, effectively analyze port operation efficiency, and provide corresponding analytical basis for improving port operation efficiency.

[0005] The real-time port operation efficiency analysis method of the present invention includes the following steps:

[0006] Data acquisition and processing steps: Based on AIS data, a data model is constructed. Based on the data model and combined with time attributes, ship and port information at any given time is obtained. The ship and port information includes ship status information, port status information, and berth status information.

[0007] Monitoring indicator calculation steps: Based on the data model and the ship and port information, data samples are taken N times a day for several monitoring indicators of the target port, and the daily average value corresponding to several monitoring indicators is calculated. The daily average value is used as the statistical value of the monitoring indicator.

[0008] Port operation efficiency analysis steps: Using the statistical values ​​of monitoring indicators as the data source, and using the K-line chart analysis method, analyze the operation efficiency of the target port under several monitoring indicators.

[0009] Furthermore, the data model includes an AIS data model, a ship data model, a port data model, and a berth data model;

[0010] The AIS data model includes vessel name, time, vessel position, and navigation status; the vessel data model includes vessel name, MMSI, vessel type, vessel length, vessel width, and vessel deadweight tonnage; the port data model includes port name, port code, port location, port time zone, and port berths; the berth data model includes berth name, berth type, berth location, berth depth, cargo type, and loading / unloading attributes.

[0011] Furthermore, the monitoring indicators include average waiting time, average operation time, average dwell time, number of ships at anchor, number of ships at berth, number of ships in port, anchorage time, operation time, and port time.

[0012] Furthermore, the port operation efficiency analysis step also incorporates berth type, number of berths, berth occupancy status, and remaining number of berths to estimate the ship operation situation in port, thus assisting in the analysis of port operation efficiency.

[0013] Furthermore, it also includes comprehensive monitoring and analysis steps: based on port operation efficiency analysis, according to ship type, historical route information, historical port call information and real-time dynamic information of ships, port dynamics, through traffic analysis, port monitoring and cargo volume statistics are carried out.

[0014] Furthermore, the real-time dynamic information of the vessel includes the vessel's navigation status, arrival status, departure status, anchoring status, refueling status, and repair status.

[0015] A real-time port operation efficiency analysis system includes a data acquisition and processing module, a monitoring indicator calculation module, and a port operation efficiency analysis module connected in sequence.

[0016] The data acquisition and processing module: Based on AIS data, it constructs a data model, and based on the data model, combined with time attributes, it obtains ship and port information at any given time; the ship and port information includes ship status information, port status information, and berth status information.

[0017] The monitoring indicator calculation module: Based on the data model and the ship and port information, it performs N data samplings per day on several monitoring indicators of the target port, calculates the daily average value corresponding to each of the several monitoring indicators, and uses the daily average value as the statistical value of the monitoring indicator.

[0018] The port operation efficiency analysis module uses the statistical values ​​of monitoring indicators as the data source and employs candlestick chart analysis methods to analyze the operation efficiency of the target port under several monitoring indicators.

[0019] Furthermore, the monitoring indicators include average waiting time, average operation time, average dwell time, number of ships at anchor, number of ships at berth, number of ships in port, anchorage time, operation time, and port time.

[0020] Furthermore, the port operation efficiency analysis module also estimates the ship operation status in port by combining berth type, number of berths, berth occupancy status, and remaining number of berths, thus assisting in the analysis of port operation efficiency.

[0021] Furthermore, it also includes a comprehensive monitoring and analysis module connected to the port operation efficiency analysis module; the comprehensive monitoring and analysis module: based on port operation efficiency analysis, according to ship type, historical route information, historical port call information and real-time dynamic information of ships, performs port dynamics, through traffic analysis, flow analysis, port monitoring and cargo volume statistics.

[0022] The beneficial effects of this invention are as follows: The port operation efficiency real-time analysis method and system disclosed in this invention, through the use of reasonable data acquisition and processing technology, forms dynamic data slices of the port. By constructing a set of port operation efficiency index evaluation system, and based on several indicators in the index evaluation system, the slice data is sampled and statistically analyzed. Finally, the K-line chart analysis method is used to analyze the operation efficiency of the target port under several indicators. This realizes the query of port dynamic historical situation, real-time dynamic monitoring of the port, prediction of future port traffic, and analysis of port congestion indicators, forming an integrated and comprehensive analysis system. It achieves the purpose of real-time monitoring of port dynamics and effective analysis of port operation efficiency, providing corresponding analytical basis for improving port operation efficiency. Attached Figure Description

[0023] The present invention will be further described below with reference to the accompanying drawings and embodiments:

[0024] Figure 1 This is a schematic diagram of the method flow of the present invention;

[0025] Figure 2 This is a schematic diagram illustrating the analysis of port operation efficiency data indicators according to the present invention. Detailed Implementation

[0026] The present invention will be further described below with reference to the accompanying drawings, as shown in the figures:

[0027] The real-time port operation efficiency analysis method of the present invention includes the following steps:

[0028] Data acquisition and processing steps: Based on AIS data, a data model is constructed. Using this data model as a foundation and incorporating time attributes, vessel and port information at any given time is obtained. This vessel and port information includes vessel status information, port status information, and berth status information. Based on the aforementioned data model and the dynamics of time, a basic model describing vessel dynamics and port berth dynamics can be constructed. The vessel and port information at any given time forms a data slice of vessel and port dynamics, facilitating subsequent sampling and statistical analysis of these data slices. The AIS data is existing Automatic Identification System (AIS) data.

[0029] The monitoring indicator calculation steps are as follows: Based on the data model and the ship and port information, several monitoring indicators of the target port are sampled N times a day to calculate the daily average value corresponding to each monitoring indicator, and the daily average value is used as the statistical value of the monitoring indicator. Considering the massive amount of AIS data, a sampling frequency of N times per day ensures timely sampling of the massive data. The number of sampling times N can be set according to the actual situation. The daily average value is the total value of the monitoring indicator obtained from N samplings per day divided by N. Through the above steps, the statistical values ​​of several monitoring indicators are obtained.

[0030] Port operation efficiency analysis steps: Using the statistical values ​​of monitoring indicators as the data source, and employing candlestick chart analysis methods, analyze the operation efficiency of the target port under several monitoring indicators. Specifically, by using candlestick charts, moving average trends can be viewed and analyzed, thus providing a more intuitive analysis and view of the target port's operation efficiency under each monitoring indicator.

[0031] In this embodiment, the data model includes an AIS data model, a ship data model, a port data model, and a berth data model;

[0032] The AIS data model includes vessel name, time, vessel position, and navigation status; the vessel data model includes vessel name, MMSI, vessel type, vessel length, vessel width, and vessel deadweight tonnage; the port data model includes port name, port code, port location, port time zone, and port berths; the berth data model includes berth name, berth type, berth location, berth depth, cargo type, and loading / unloading attributes.

[0033] In this embodiment, the monitoring indicators include average waiting time, average operation time, average dwell time, number of vessels at anchor, number of vessels at berth, number of vessels in port, anchoring time, operation time, and dwell time in port. Specifically, the average waiting time is the average waiting time for berthed vessels over a 7-day period; the average operation time is the average operation time for departing vessels over a 7-day period; the average dwell time is the average dwell time for departing vessels over a 7-day period; the number of vessels at anchor is the current number of vessels at anchor; the number of vessels at berth is the current number of vessels at berth; the number of vessels in port is the current number of vessels in port; the anchoring time is the average anchoring time for currently anchored vessels; the operation time is the average operation time for currently berthed vessels; and the dwell time in port is the average dwell time for currently docked vessels. The nine monitoring indicators established above form a set of evaluation systems for the operational efficiency of target ports, providing timely port monitoring and analysis services for cargo owners, freight forwarding companies, trucking companies and other shipping and logistics service providers. This helps stakeholders adjust their business layout in a timely manner and provides corresponding analytical basis for improving port operational efficiency.

[0034] In this embodiment, the port operation efficiency analysis step also combines berth type, number of berths, berth occupancy status, and remaining number of berths to estimate the ship operation status in port, thereby assisting in the analysis of port operation efficiency.

[0035] This embodiment also includes a comprehensive monitoring and analysis step: based on port operation efficiency analysis, port dynamics, through-connectivity analysis, flow analysis, port monitoring, and cargo volume statistics are performed according to ship type, historical route information, historical port call information, and real-time ship dynamic information. The real-time ship dynamic information includes ship navigation status, ship arrival status, ship departure status, ship anchoring status, ship refueling status, and ship repair status. Using a single port as the analysis base, combined with ship AIS information, historical calls are summarized, current berthed / anchored ships are queried, and future arriving ships are predicted. Simultaneously, by combining ship AIS information, lists of ships expected to arrive at the port and ships in different statuses such as anchoring, navigation, berthing, and repair can be displayed, thereby achieving the purpose of port monitoring and flow analysis. The ship list can be categorized and labeled according to ship type and ship dynamics, thereby filtering out ships that meet the target conditions to facilitate port operation efficiency analysis. Displaying the arrival and transshipment connectivity of the target port by time, number of vessels, and deadweight tonnage enables through-connectivity analysis of the port.

[0036] The present invention also relates to a real-time port operation efficiency analysis system, which corresponds to the above-mentioned real-time port operation efficiency analysis method and can be understood as a system that implements the above-mentioned method.

[0037] The system includes a data acquisition and processing module, a monitoring indicator calculation module, and a port operation efficiency analysis module connected in sequence.

[0038] The data acquisition and processing module: Based on AIS data, it constructs a data model, and based on the data model, combined with time attributes, it obtains ship and port information at any given time; the ship and port information includes ship status information, port status information, and berth status information.

[0039] The monitoring indicator calculation module: Based on the data model and the ship and port information, it performs N data samplings per day on several monitoring indicators of the target port, calculates the daily average value corresponding to each of the several monitoring indicators, and uses the daily average value as the statistical value of the monitoring indicator.

[0040] The port operation efficiency analysis module uses the statistical values ​​of monitoring indicators as the data source and employs candlestick chart analysis methods to analyze the operation efficiency of the target port under several monitoring indicators.

[0041] The port operation efficiency real-time analysis system of the present invention forms dynamic data slices of the port by using reasonable data acquisition and processing technology, constructs a set of indicators for evaluating port operation efficiency, and samples and statistically analyzes the slice data based on several indicators in the evaluation system. Finally, it uses the K-line chart analysis method to analyze the operation efficiency of the target port under several indicators.

[0042] In this embodiment, the monitoring indicators include average waiting time, average operation time, average dwell time, number of anchored vessels, number of vessels at berth, number of vessels in port, anchoring time, operation time, and time in port.

[0043] In this embodiment, the port operation efficiency analysis module also estimates the ship operation status in port by combining berth type, number of berths, berth occupancy status and remaining number of berths, thus assisting in the analysis of port operation efficiency.

[0044] This embodiment also includes a comprehensive monitoring and analysis module connected to the port operation efficiency analysis module. The comprehensive monitoring and analysis module, based on port operation efficiency analysis and according to vessel type, historical route information, historical port call information, and real-time vessel dynamic information, performs port dynamics, through-flow analysis, flow analysis, port monitoring, and cargo volume statistics. The real-time vessel dynamic information includes vessel navigation status, vessel arrival status, vessel departure status, vessel anchoring status, vessel refueling status, and vessel repair status.

[0045] This invention provides an objective and scientific method and system for real-time analysis of port operation efficiency. It enables the querying of historical port dynamics, real-time dynamic monitoring of ports, prediction of future port traffic, and analysis of port congestion indicators, forming an integrated and comprehensive analysis system. This achieves the goal of real-time monitoring of port dynamics and effective analysis of port operation efficiency, providing corresponding analytical basis for improving port operation efficiency. Furthermore, it provides timely port monitoring and analysis services for shipping and logistics service providers such as cargo owners, freight forwarding companies, and trucking companies, facilitating timely adjustments to business strategies by relevant parties.

[0046] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A method for real-time analysis of port operation efficiency, characterized in that: Includes the following steps: Data acquisition and processing steps: Based on AIS data, a data model is constructed. Based on the data model and combined with time attributes, ship and port information at any given time is obtained. The ship and port information includes ship status information, port status information, and berth status information. The data model includes an AIS data model, a ship data model, a port data model, and a berth data model. The AIS data model includes vessel name, time, vessel position, and navigation status; the vessel data model includes vessel name, MMSI, vessel type, vessel length, vessel width, and vessel deadweight tonnage; the port data model includes port name, port code, port location, port time zone, and port berths; the berth data model includes berth name, berth type, berth location, berth depth, cargo type, and loading / unloading attributes. The monitoring indicator calculation steps are as follows: Based on the data model and the ship and port information, data samples are taken N times a day for several monitoring indicators of the target port, and the daily average value corresponding to each monitoring indicator is calculated. The daily average value is used as the statistical value of the monitoring indicator. The several monitoring indicators include average waiting time, average operation time, average dwell time, number of ships at anchor, number of ships at berth, number of ships in port, anchoring time, operation time, and time in port. Port operation efficiency analysis steps: Using the statistical values ​​of monitoring indicators as the data source, and using the K-line chart analysis method, analyze the operation efficiency of the target port under several monitoring indicators.

2. The method for real-time analysis of port operation efficiency according to claim 1, characterized in that: The port operation efficiency analysis steps also incorporate berth type, number of berths, berth occupancy status, and remaining number of berths to estimate vessel operations in port, thus aiding in the analysis of port operation efficiency.

3. The method for real-time analysis of port operation efficiency according to claim 1, characterized in that: It also includes, Comprehensive monitoring and analysis steps: Based on port operation efficiency analysis, and according to ship type, historical route information, historical port call information, and real-time dynamic information of ships, port dynamics, through traffic analysis, flow analysis, port monitoring, and cargo volume statistics are carried out.

4. The method for real-time analysis of port operation efficiency according to claim 3, characterized in that: The real-time dynamic information of the vessel includes the vessel's navigation status, arrival status, departure status, anchoring status, refueling status, and repair status.

5. A real-time port operation efficiency analysis system, characterized in that: This includes a data acquisition and processing module, a monitoring indicator calculation module, and a port operation efficiency analysis module, which are connected in sequence. The data acquisition and processing module: Based on AIS data, constructs a data model, and based on the data model, combines time attributes to obtain ship and port information at any given time; the ship and port information includes ship status information, port status information, and berth status information; the data model includes an AIS data model, a ship data model, a port data model, and a berth data model; The AIS data model includes vessel name, time, vessel position, and navigation status; the vessel data model includes vessel name, MMSI, vessel type, vessel length, vessel width, and vessel deadweight tonnage; the port data model includes port name, port code, port location, port time zone, and port berths; the berth data model includes berth name, berth type, berth location, berth depth, cargo type, and loading / unloading attributes. The monitoring indicator calculation module: Based on the data model and the ship and port information, it samples data N times a day for several monitoring indicators of the target port, calculates the daily average value corresponding to each of the several monitoring indicators, and uses the daily average value as the statistical value of the monitoring indicators; the several monitoring indicators include average waiting time, average operation time, average dwell time, number of ships at anchor, number of ships at berth, number of ships in port, anchoring time, operation time, and time in port; The port operation efficiency analysis module uses the statistical values ​​of monitoring indicators as the data source and employs candlestick chart analysis methods to analyze the operation efficiency of the target port under several monitoring indicators.

6. The port operation efficiency real-time analysis system according to claim 5, characterized in that: The port operation efficiency analysis module also estimates the port operation status by combining berth type, number of berths, berth occupancy status, and remaining number of berths, thus assisting in the analysis of port operation efficiency.

7. The port operation efficiency real-time analysis system according to claim 5, characterized in that: It also includes a comprehensive monitoring and analysis module connected to the port operation efficiency analysis module; the comprehensive monitoring and analysis module: based on port operation efficiency analysis, according to ship type, historical route information, historical port call information and real-time dynamic information of ships, performs port dynamics, through traffic analysis, flow analysis, port monitoring and cargo volume statistics.

Images