Intelligent dispatching platform and method for passenger terminal
By collecting and analyzing multi-dimensional data in real time in the passenger terminal intelligent scheduling platform, and using LSTM network model and simulated annealing algorithm to generate ship scheduling tables, the problem of untimely and inaccurate ship scheduling in dock operations is solved, and the operation quality is improved Scientific.
Patent Information
- Application Number
- CN202411543720.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-31
- Publication Date
- 2025-01-10
AI Technical Summary
The lack of effective guidance methods for tourist passenger terminals at present has led to crowded tourists and disorderly order. Shipping companies rely on human intervention in ship dispatch, resulting in large workload and high error rate. The existing intelligent terminal management system cannot meet the operational needs of passenger terminals.
An intelligent scheduling platform for passenger terminals was designed, including data acquisition system, analysis system and scheduling system. By collecting ship operation data, environmental data and passenger-related data in real time, using LSTM network model and simulated annealing algorithm to generate ship scheduling tables to realize Intelligent ship scheduling management, and display schedules and passenger coordination notifications through a visual system.
It has achieved timely and accurate ship scheduling, improved the quality of dock operation, reduced the burden on staff and tourists' complaints, and improved the scientificity and reliability of ship scheduling.
Smart Images

Figure CN119294756A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of smart terminal management, and in particular to an intelligent dispatching platform and method for a passenger terminal. Background Art
[0002] In the current tourist passenger terminal, there are many deficiencies in the level of information and intelligent production management, the most prominent of which is the lack of effective guidance means. For example, the terminal lacks the display of flight, route and ship information, which leads to overcrowding and disorder on site, increasing complaints from tourists, and the staff are exhausted from responding, which seriously affects the tourists' travel experience.
[0003] At the same time, shipping companies still use human intervention in ship scheduling and port arrival and departure processing. This method not only has a large workload, but also has a high error rate, especially in the processing of GPS ship position information. Due to its high latency, it cannot reflect the ship status in real time, which brings great difficulties to ship scheduling. In addition, although some intelligent terminal management systems have been put into use, they still have some shortcomings. For example, the functions of these systems are not perfect enough to meet the actual needs of terminal management. For example, the patent with publication number CN115410390A discloses a smart port intelligent scheduling method, which can intelligently manage the parking positions of vehicles entering and leaving the port and containerized goods, but this method is not suitable for the management of passenger terminals and cannot meet the timely and accurate scheduling needs of the ship itself in the operation of passenger terminals. Summary of the invention
[0004] The present invention aims to provide an intelligent dispatching platform and method for passenger terminals, which can timely and accurately manage ship dispatching and help improve the quality of terminal operations.
[0005] To achieve the above objectives, the present invention provides the following basic solutions.
[0006] Solution 1
[0007] An intelligent dispatching platform for a passenger terminal, comprising a data collection system, an analysis system and a dispatching system;
[0008] The data acquisition system is used to collect the operation data of the ship, the environmental data of the waters around the dock and the passenger-related data of the corresponding ship in real time; the analysis system includes a calculation module for analyzing the ship status; the calculation module is used to calculate the arrival success rate and departure success rate of the ship based on the operation data, environmental data and passenger-related data;
[0009] The dispatching system includes a dispatching module and an adjustment module; the dispatching module is used to import the navigation plan of the ship and generate a first ship schedule according to the berth situation of the terminal. If there is no ship interference in the first ship schedule, the first ship schedule is retained; if there is ship interference in the first ship schedule, the idle time periods of the interfering ships and the berths are extracted, and a secondary matching is performed. If the matching is successful, a second ship schedule is generated; if the matching fails, a scheduling failure notification is sent to the staff;
[0010] The adjustment module is used to modify the ship schedule when the arrival success rate or departure success rate of the ship is lower than the corresponding threshold; and generate a passenger coordination notification.
[0011] Furthermore, the operating data includes static information, dynamic information and a navigation plan; the static information includes the ship's maritime mobile service identity code, IMO number, ship name and ship type; the dynamic information includes the ship's position, heading, speed, COG and timestamp; the navigation plan includes the ship's route, destination and ETA.
[0012] Furthermore, the static information and the navigation plan are acquired through radio wave communication or pre-imported through a data acquisition module; and the dynamic information is acquired through radio wave communication.
[0013] Furthermore, it also includes a monitoring system; the monitoring system includes camera modules distributed on the dock and ship sensors set at the dock berth; the camera modules are used to collect images of ships at the dock; the ship sensors are used to sense the status of ships at each dock berth.
[0014] Furthermore, the calculation module also confirms the actual departure time and actual arrival time of each ship based on the ship images and ship status collected by the monitoring system.
[0015] Furthermore, a prediction model is provided in the calculation module; the prediction model is an LSTM network model.
[0016] Furthermore, a simulated annealing model is provided in the scheduling module; the simulated annealing model generates a ship schedule based on a simulated annealing algorithm.
[0017] Furthermore, it also includes a visualization system; the visualization system includes a large information display screen arranged in the terminal waiting hall; the large information display screen is used to visualize the ship schedule and passenger coordination notice.
[0018] Furthermore, the environmental data includes wind speed, wind direction, visibility, air pressure, ocean conditions and hydrological data; the passenger-related data includes the ship's passenger capacity and the number of passengers arriving at the terminal.
[0019] Solution 2
[0020] A passenger terminal intelligent dispatching method, using a passenger terminal intelligent dispatching platform as described in Scheme 1 to dispatch the passenger terminal; comprising the following steps:
[0021] The data collection system collects the ship's operating data, environmental data of the waters around the terminal, and passenger-related data of the corresponding ship in real time; the calculation module of the analysis system calculates the ship's arrival success rate and departure success rate based on the operating data, environmental data, and passenger-related data;
[0022] The dispatch module of the dispatch system imports the ship's sailing plan and generates the first ship schedule according to the berth conditions. If there is no ship interference in the initial ship schedule, the first ship schedule is retained; if there is ship interference in the first ship schedule, the idle time periods of the interfering ships and berths are extracted for secondary matching. If the match is successful, the second ship schedule is generated; if the match fails, a scheduling failure notification is sent to the staff;
[0023] When the arrival success rate or departure success rate of a ship is lower than the corresponding threshold, the adjustment module of the dispatching system modifies the ship schedule and generates a passenger coordination notification.
[0024] The working principle and advantages of the present invention are as follows: In this solution, multi-dimensional data is collected to support the intelligent generation and adjustment of ship scheduling solutions. Among them, environmental data of the waters around the terminal and passenger-related data of the corresponding ships are introduced, and the factors that may affect the feasibility and efficiency of the ship's arrival and departure are fully considered. The neural network model is used for collaborative analysis, and the prediction of the arrival and departure time of each ship is more accurate, which helps to achieve timely and accurate ship scheduling management. In addition, this solution also provides an adjustment module, which can provide intelligent feedback on the situation where the ship cannot leave or arrive in time in the forecast, and the generated ship schedule is more scientific and reliable, which helps to improve the quality of terminal operations. BRIEF DESCRIPTION OF THE DRAWINGS
[0025] Figure 1 The present invention is a schematic diagram of the platform structure of an embodiment of an intelligent dispatching platform and method for a passenger terminal. DETAILED DESCRIPTION
[0026] The following is a further detailed description through specific implementation methods:
[0027] The embodiment is basically as shown in the attached Figure 1 Shown: An intelligent dispatching platform for a passenger terminal, including a data acquisition system, an analysis system, a dispatching system, a monitoring system and a visualization system.
[0028] The data collection system is used to collect the ship's operating data, environmental data of the waters around the terminal, and passenger-related data of the corresponding ship in real time. Specifically, the operating data includes static information, dynamic information, and sailing plans; the static information includes the ship's maritime mobile service identity code, IMO number, ship name, and ship type; the dynamic information includes the ship's position, heading, speed, COG (actual sailing direction, i.e., the actual path direction from one point to another) and timestamp; the sailing plan includes the ship's route, destination, and ETA (estimated time of arrival).
[0029] The static information and the navigation plan are acquired through radio wave communication or pre-imported through a data acquisition module; the dynamic information is acquired through radio wave communication.
[0030] The environmental data includes wind speed, wind direction, visibility, air pressure, ocean conditions and hydrological data; the passenger-related data includes the ship's passenger capacity and the number of passengers arriving at the terminal. The ocean conditions include tidal information, ocean current direction, ocean current speed, wave height, and wave period. The hydrological data includes water depth. The number of passengers arriving at the terminal is measured based on the ship's ticket sales and inspection data.
[0031] The analysis system comprises a calculation module for analyzing the ship status, and the calculation module is used to calculate the arrival success rate and departure success rate of the ship based on the operation data, the environment data and the passenger-related data.
[0032] The calculation module is provided with a prediction model; the prediction model is an LSTM network model.
[0033] Specifically, the LSTM network model uses historical operation data sets as training sets and validation sets for model training and validation. The historical operation data sets include the historical operation data of ships arriving and departing from the terminal, as well as the corresponding environmental data and passenger-related data; and the arrival of ships on time is considered a successful arrival, and the departure of ships on time is considered a successful departure.
[0034] In the training, the historical operation data set is used as input, and the output is set as the arrival success rate and departure success rate. Then, based on the trained LSTM network model, the arrival success rate and departure success rate of the ship are calculated.
[0035] The scheduling system includes a scheduling module and an adjustment module.
[0036] The scheduling module is used to import the navigation plan of the ship and generate a first ship schedule according to the berth situation of the terminal. If there is no ship interference in the first ship schedule, the first ship schedule is retained; if there is ship interference in the first ship schedule, the idle time periods of the interfering ships and berths are extracted, and a secondary matching is performed. If the matching is successful, a second ship schedule is generated; if the matching fails, a scheduling failure notification is sent to the staff.
[0037] The ship interference situation includes berth conflicts (i.e., multiple ships need to use the same berth at the same time) and the channel congestion is higher than the corresponding threshold. The channel congestion is calculated based on the following formula:
[0038]
[0039] Among them, ω1, ω2, and ω3 are the weights of each factor, which can be adjusted according to the actual situation. Channel capacity is the maximum capacity of the channel under ideal conditions; the design speed is the maximum safe speed considered when designing the channel; the benchmark waiting time is the expected waiting time of the ship under normal circumstances. The average speed is the average speed of all ships in the channel, and the average waiting time is the average waiting time of all ships in the channel.
[0040] The scheduling module is provided with a simulated annealing model; the simulated annealing model generates a ship schedule based on a simulated annealing algorithm. In the secondary matching, the simulated annealing model iterates the ship scheduling plan based on the idle time periods of interfering ships and berths, until each ship has an idle time period of a matching berth, and outputs it as a matching result, and performs a feasibility analysis on the matching result. If the idle time period of the corresponding berth of the ship meets the navigation plan, it is determined that the match is successful; otherwise, it is determined that the match is unsuccessful.
[0041] The adjustment module is used to call the scheduling module to modify the ship schedule when the arrival success rate or departure success rate of the ship is lower than the corresponding threshold, and generate a passenger coordination notification. In this embodiment, the content of the passenger coordination notification includes the ship schedule information before and after the modification.
[0042] The monitoring system includes camera modules distributed on the wharf and ship sensors arranged at the wharf berths. The camera modules are used to collect images of ships at the wharf; and the ship sensors are used to sense the status of ships at each wharf berth.
[0043] The calculation module also confirms the actual departure time and actual arrival time of each ship based on the ship images and ship status collected by the monitoring system. Based on the actual departure time and actual arrival time, the ship's on-time arrival is considered a successful arrival, and the ship's on-time departure is considered a successful departure. Based on this part of data, the accuracy of the prediction model can be verified and the optimization of the model parameters can be guided. And the automatic judgment of the ship's arrival and departure is realized.
[0044] The visualization system comprises a large information display screen arranged in the terminal waiting hall; the large information display screen is used for visually displaying the ship schedule and passenger coordination notice.
[0045] A passenger terminal intelligent dispatching method, using the above-mentioned passenger terminal intelligent dispatching platform to dispatch the passenger terminal; comprising the following steps:
[0046] The data collection system collects the ship's operating data, environmental data of the waters around the terminal, and passenger-related data of the corresponding ship in real time; the calculation module of the analysis system calculates the ship's arrival success rate and departure success rate based on the operating data, environmental data, and passenger-related data;
[0047] The dispatch module of the dispatch system imports the ship's sailing plan and generates the first ship schedule according to the berth conditions. If there is no ship interference in the initial ship schedule, the first ship schedule is retained; if there is ship interference in the first ship schedule, the idle time periods of the interfering ships and berths are extracted for secondary matching. If the match is successful, the second ship schedule is generated; if the match fails, a scheduling failure notification is sent to the staff;
[0048] When the arrival success rate or departure success rate of a ship is lower than the corresponding threshold, the adjustment module of the dispatching system modifies the ship schedule and generates a passenger coordination notification.
[0049] The present embodiment provides a passenger terminal intelligent dispatching platform and method, which can realize intelligent terminal dispatching management and improve the terminal operation quality.
[0050] The above is only an embodiment of the present invention. The common sense such as the known specific structure and characteristics in the scheme is not described in detail here. The ordinary technicians in the relevant field are aware of all the common technical knowledge in the technical field of the invention before the application date or priority date, can obtain all the existing technologies in the field, and have the ability to apply the conventional experimental means before that date. The ordinary technicians in the relevant field can improve and implement the scheme in combination with their own abilities under the enlightenment given by this application. Some typical known structures or known methods should not become obstacles for the ordinary technicians in the relevant field to implement this application. It should be pointed out that for the technicians in this field, without departing from the structure of the present invention, several deformations and improvements can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicality of the patent.
Claims
1. An intelligent dispatching platform for passenger terminals, characterized in that: Including data acquisition system, analysis system and dispatching system; The data acquisition system is used to collect the operation data of the ship, the environmental data of the waters around the dock and the passenger-related data of the corresponding ship in real time; the analysis system includes a calculation module for analyzing the ship status; the calculation module is used to calculate the arrival success rate and departure success rate of the ship based on the operation data, environmental data and passenger-related data; The scheduling system includes a scheduling module and an adjustment module; The scheduling module is used to import the navigation plan of the ship and generate a first ship schedule according to the berth conditions of the terminal. If there is no ship interference in the first ship schedule, the first ship schedule is retained; If there is ship interference in the first ship schedule, the idle time periods of the interfering ships and berths are extracted for secondary matching. If the matching is successful, a second ship schedule is generated; if the matching fails, a scheduling failure notification is sent to the staff; The adjustment module is used to modify the ship schedule when the arrival success rate or departure success rate of the ship is lower than the corresponding threshold; and generate a passenger coordination notification.
2. The intelligent dispatching platform for passenger terminals according to claim 1 is characterized in that: The operating data includes static information, dynamic information and navigation plan; the static information includes the ship's maritime mobile service identity code, IMO number, ship name and ship type; the dynamic information includes the ship's position, heading, speed, COG and timestamp; the navigation plan includes the ship's route, destination and ETA.
3. The intelligent dispatching platform for passenger terminals according to claim 2 is characterized in that: The static information and the navigation plan are acquired through radio wave communication or pre-imported through a data acquisition module; the dynamic information is acquired through radio wave communication.
4. The intelligent dispatching platform for passenger terminals according to claim 1 is characterized in that: It also includes a monitoring system; the monitoring system includes camera modules distributed on the dock and ship sensors set at the dock berths; the camera modules are used to collect images of ships at the dock; the ship sensors are used to sense the status of ships at each dock berth.
5. The intelligent dispatching platform for passenger terminals according to claim 4 is characterized in that: The calculation module also confirms the actual departure time and actual arrival time of each ship based on the ship images and ship status collected by the monitoring system.
6. The intelligent dispatching platform for passenger terminals according to claim 1 is characterized in that: The calculation module is provided with a prediction model; the prediction model is an LSTM network model.
7. The intelligent dispatching platform for passenger terminals according to claim 1 is characterized in that: A simulated annealing model is provided in the scheduling module; the simulated annealing model generates a ship schedule based on a simulated annealing algorithm.
8. The intelligent dispatching platform for passenger terminals according to claim 1 is characterized in that: It also includes a visualization system; the visualization system includes a large information display screen arranged in the terminal waiting hall; the large information display screen is used to visualize the ship schedule and passenger coordination notice.
9. The intelligent dispatching platform for passenger terminals according to claim 1, characterized in that: The environmental data include wind speed, wind direction, visibility, air pressure, ocean conditions and hydrological data; the passenger-related data include the ship's passenger capacity and the number of passengers arriving at the terminal.
10. A passenger terminal intelligent dispatching method, characterized in that: Applying a passenger terminal intelligent dispatching platform as described in any one of claims 1 to 9 to dispatch a passenger terminal comprises the following steps: The data collection system collects the ship's operating data, environmental data of the waters around the terminal, and passenger-related data of the corresponding ship in real time; the calculation module of the analysis system calculates the ship's arrival success rate and departure success rate based on the operating data, environmental data, and passenger-related data; The dispatch module of the dispatch system imports the ship's sailing plan and generates the first ship schedule according to the berth conditions. If there is no ship interference in the initial ship schedule, the first ship schedule is retained; if there is ship interference in the first ship schedule, the idle time periods of the interfering ships and berths are extracted for secondary matching. If the match is successful, the second ship schedule is generated; if the match fails, a scheduling failure notification is sent to the staff; When the arrival success rate or departure success rate of a ship is lower than the corresponding threshold, the adjustment module of the dispatching system modifies the ship schedule and generates a passenger coordination notification.
Citation Information
Patent Citations
Intelligent port intelligent scheduling method
CN115410390A