Channel ship intelligent shunting method applied to ship lock joint scheduling

Abstract

The invention discloses a channel ship intelligent shunting method applied to ship lock joint scheduling, and relates to the technical field, the congestion state of the current channel is determined according to the ship flow threshold of each leg and the ship lock, and the congestion state comprises large flow, mild congestion, moderate congestion and heavy congestion; the method comprises the following steps: firstly, acquiring navigation data on a navigation channel, then determining a congested leg according to the navigation data on the navigation channel, and generating an advanced alarm according to the congested state of the navigation channel where the congested leg is located, the number of ships in the congested leg and the number of ships entering the congested leg within a set time to remind a worker to timely intervene and process; according to the method, the congestion condition of the ship can be monitored in time, congestion analysis is carried out at a proper time, a processing scene needing manual intervention is accurately judged, and a channel is helped to recover passing as soon as possible.

Description

Technical Field

[0001] The invention belongs to the technical field of waterway ship analysis, and in particular is an intelligent diversion method for waterway ships applied to joint scheduling of ship locks. Background Art

[0002] Inland waterways are an important part of my country's comprehensive three-dimensional transportation system, and they play a fundamental, leading and service role in the development of inland waterway transportation. At present, the navigable mileage of inland waterways in China has reached 128,000 kilometers. Faced with such a criss-crossing and huge inland waterway transportation network, ship navigation safety is a key factor in ensuring the stable development of the shipping industry; due to the particularity of the ship navigation environment, there will be many efficiency and safety issues in the operation of ships, causing unpredictable economic losses. Therefore, it is necessary to deeply analyze the factors affecting the efficiency and safety of ship navigation, and innovate and invent a waterway ship intelligent diversion technology applied to the joint dispatch of locks, so as to promote the sustainable development of the ship shipping industry in today's intelligent development of waterways.

[0003] Currently, there is an intelligent scheduling algorithm for a single lock to improve the passing efficiency of a single lock. Due to the different levels of automation and intelligence of each lock, it is often precisely because the passing efficiency of the upstream lock is very high that the downstream lock is congested or even causes ship collisions. When there is congestion, when is it necessary to use human intervention to dispatch ships in addition to the personnel who deal with the accident to help ships pass as quickly as possible? This is a difficult problem. Based on this, a solution is now provided. Summary of the invention

[0004] The present invention aims to solve at least one of the technical problems existing in the prior art; to this end, the present invention proposes a method for intelligent diversion of waterway ships applied to joint scheduling of ship locks, the method specifically comprising the following steps: Based on AIS data and ship lock registration data, the number of ships in each section of the waterway and the number of ships waiting for locks in each lock are dynamically monitored. Based on the ship flow thresholds of each section and lock, the current congestion status of the waterway is determined. The congestion status includes heavy flow, mild congestion, moderate congestion and severe congestion. The congested section is determined based on the navigation data on the waterway, and then a high-level alarm is generated based on the congestion status of the waterway where the congested section is located, the number of ships in the congested section, and the number of ships entering the congested section within the set time, reminding staff that immediate intervention is required.

[0005] Furthermore, before performing the diversion method, the following steps need to be performed: According to the basic data of waterway and lock, establish the data association between waterway and lock, divide the whole waterway into grid units according to the sections, sort out the topological relationship of the locks in each section, and determine the area and direction of the ship's upstream and downstream navigation; When a ship enters the waterway and enters its destination, the waterway-lock relationship model constructed previously and combined with the navigation environment data will intelligently recommend the waterway route, locks along the way and charging standards.

[0006] Furthermore, the congestion status is determined in the following manner: reaching 80% of the ship flow threshold is judged as a large flow, being equal to the ship flow threshold is judged as light congestion, exceeding the threshold is judged as moderate congestion, and exceeding the threshold by 20% is judged as severe congestion.

[0007] Furthermore, the specific analysis method is as follows: The way to obtain the congested flight segment is: Obtain a target path of a set length that takes T1 time to pass before congestion and at least twice T1 time or more to pass after congestion, and mark the center position of the target path that takes the longest time to pass after congestion as the center point; The congested area is taken as the center point and half of the target path length is taken as the initial radius, which is marked as the initial observation circle; Then, with the dot as the center and the end point of the initial radius as the initial point, it is extended in two directions at the same time. Each time the extension is set, the passing time when the congestion occurs is obtained. The extended distance after the extension is divided by the passing time, and the value is marked as the delayed speed. The value obtained by multiplying the initial radius by 2 and then dividing it by the length of the target path is marked as the reference speed; When the delayed speed is greater than or equal to B1 times the base speed, stop extending the route, divide the overall length after extension by 2 and mark the value obtained as the approved radius. Draw a circle around the point according to the approved radius and mark the waterway covered by the circle as the congested section.

[0008] Furthermore, the method of generating a high-level alarm according to the congestion situation of the channel where the congested section is located is: Obtain the congestion situation of the route where the current congested route is located, including heavy traffic, mild congestion, moderate congestion and severe congestion; When there is moderate or severe congestion, a high-level alarm will be automatically generated to remind management personnel that emergency intervention is required; When the traffic volume is large and the congestion is mild, an advanced alarm is generated through the pending entry analysis, combining the number of ships in the congested section and the number of ships entering the congested section within the set time.

[0009] Furthermore, the specific method to be analyzed is: Automatically mark ships whose navigation trajectories include congested sections but have not yet reached the congested sections as waiting to enter based on the navigation trajectories of each ship; Then, the number of objects that can enter the congested section within T2 is obtained, where T2 is a preset value, and it is marked as the number of ships that are about to enter; at the same time, the number of ships in the congested section is obtained and marked as the benchmark number of ships; When the congested section is in a state of high traffic, when the number of incoming ships accounts for the B2 ratio of the benchmark number of ships, B2 is a preset value, and a high-level alarm is generated to remind the management personnel that emergency intervention and dispatching are required; When the congested section is in a state of mild congestion, when the number of incoming ships accounts for the B3 ratio of the benchmark number of ships, a high-level alarm is generated to remind the management personnel that emergency intervention is required. B3 is a preset value, and B3 ≤ 0.85 times B2; Step S6: Based on the analysis results of S5, notify the management personnel to handle it as soon as possible.

[0010] Compared with the prior art, the present invention has the following beneficial effects: This application determines the congestion status of the current waterway according to the ship flow threshold of each section and lock, and the congestion status includes heavy flow, light congestion, moderate congestion and severe congestion; then determines the congested section according to the navigation data on the waterway, and then generates a high-level alarm according to the congestion status of the waterway where the congested section is located, the number of ships in the congested section and the number of ships entering the congested section within the set time, reminding the staff that they need to intervene immediately; This application can monitor the congestion of ships in a timely manner, conduct congestion analysis at the appropriate time, and accurately determine the processing scenarios that require human intervention to help the waterway resume traffic as soon as possible. DETAILED DESCRIPTION

[0011] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0012] The present application provides a method for intelligent diversion of waterway ships for joint scheduling of ship locks, which specifically includes the following steps: The data involved in the present invention are mainly acquired through monitoring site collection and historical data import. All data are divided into basic channel data, basic lock data, ship flow data, navigation environment data, AIS data, electronic checkpoint data, CCTV video surveillance data, service area berth data and anchorage berth data, etc.; all historical data and real-time monitoring data need to go through six stages of data preprocessing, including data collection, compilation, cleaning, processing, analysis and display, to ensure the continuity, accuracy and authority of the data.

[0013] The implementation steps of this method are as follows: Step S1: Based on the basic data of the waterway and the basic data of the lock, establish the data association relationship between the waterway and the lock, divide the entire waterway into grid units according to the sections, sort out the topological relationship of the locks in each section, and determine the upstream and downstream areas and directions of the ship's navigation; Step S2: The ship enters the waterway and enters the destination. Based on the waterway-lock relationship model constructed earlier and combined with the navigation environment data, the ship intelligently recommends the route, locks along the way and charging standards. Based on the AIS data and the ship lock registration data, the ship can be charged once, tracked, shifted in advance and pass the lock without worries. Step S3: According to AIS data and ship lock registration data, the number of ships in each section of the waterway and the number of ships waiting for locks in each lock are dynamically monitored. According to the ship flow threshold of each section and lock, if the ship flow threshold reaches 80%, it is determined that the flow is large, if it is equal to the ship flow threshold, it is determined as light congestion, if it exceeds the threshold, it is determined as moderate congestion, and if it exceeds the threshold by 20%, it is determined as severe congestion; Step S4: According to the above data analysis, the overall navigation conditions of the whole waterway are judged, the waiting ship data, service area berth data and anchorage berth data of the upstream and downstream locks of the congested area are analyzed, and the speed and time of the ship leaving and entering the congested area are calculated with the congested area as the center point, and the potential congestion risk assessment, congestion situation and waiting time are analyzed; the specific method is as follows: First, locate the center point of the congested area. The specific positioning method is: obtain a target path of a set length that takes T1 time to pass before congestion and at least twice T1 time or more to pass after congestion, and mark the center position of the target path that takes the longest time as the center point; The congested area is taken as the center point and half of the target path length is taken as the initial radius, which is marked as the initial observation circle; Then, with the dot as the center and the end point of the initial radius as the initial point, it is extended in two directions at the same time. Each time the extension is set, the passing time when the congestion occurs is obtained. The extended distance after the extension is divided by the passing time, and the value is marked as the delayed speed. The value obtained by multiplying the initial radius by 2 and then dividing it by the length of the target path is marked as the reference speed; When the delayed speed is greater than or equal to B1 times the base speed, stop extending the route, divide the extended length by 2 to get the value as the approved radius, draw a circle around the dot according to the approved radius, and mark the waterway covered by the circle as the congested section; Obtain the congestion situation of the route where the current congested route is located, including heavy traffic, mild congestion, moderate congestion and severe congestion; When there is moderate or severe congestion, a high-level alarm will be automatically generated to remind management personnel that emergency intervention is required; When the traffic is heavy and the traffic is slightly congested, the system will automatically conduct waiting-for-entry analysis: Automatically mark ships whose navigation trajectories include congested sections but have not yet reached the congested sections as waiting to enter based on the navigation trajectories of each ship; Then, the number of objects that can enter the congested section within T2 is obtained, where T2 is a preset value, and it is marked as the number of ships that are about to enter; at the same time, the number of ships in the congested section is obtained and marked as the benchmark number of ships; When the congested section is in a state of high traffic, when the number of incoming ships accounts for the B2 ratio of the benchmark number of ships, B2 is a preset value, and a high-level alarm is generated to remind the management personnel that emergency intervention and dispatching are required; When the congested section is in a state of mild congestion, when the number of incoming ships accounts for the B3 ratio of the benchmark number of ships, a high-level alarm is generated to remind the management personnel that emergency intervention is required. B3 is a preset value, and B3 ≤ 0.85 times B2; Step S6: Based on the analysis results of S5, notify the management personnel to handle it as soon as possible.

[0014] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A method for intelligent diversion of waterway ships for joint scheduling of ship locks, characterized in that: The method specifically comprises the following steps: Based on AIS data and ship lock registration data, the number of ships in each section of the waterway and the number of ships waiting for locks in each lock are dynamically monitored. Based on the ship flow thresholds of each section and lock, the current congestion status of the waterway is determined. The congestion status includes heavy flow, mild congestion, moderate congestion and severe congestion. The congested section is determined based on the navigation data on the waterway, and then a high-level alarm is generated based on the congestion status of the waterway where the congested section is located, the number of ships in the congested section, and the number of ships entering the congested section within the set time, reminding staff that immediate intervention is required.

2. According to claim 1, a method for intelligent diversion of waterway ships for joint scheduling of ship locks is characterized in that: Before using the diversion method, the following steps need to be performed: According to the basic data of waterway and lock, establish the data association between waterway and lock, divide the whole waterway into grid units according to the sections, sort out the topological relationship of the locks in each section, and determine the area and direction of the ship's upstream and downstream navigation; When a ship enters the waterway and enters its destination, the waterway-lock relationship model constructed previously and combined with the navigation environment data will intelligently recommend the waterway route, locks along the way and charging standards.

3. The method for intelligent diversion of waterway ships for joint scheduling of ship locks according to claim 1 is characterized in that: The congestion status is determined in the following way: reaching 80% of the ship flow threshold is judged as heavy congestion, equal to the ship flow threshold is judged as light congestion, exceeding the threshold is judged as moderate congestion, and exceeding the threshold by 20% is judged as severe congestion.

4. The method for intelligent diversion of waterway ships for joint scheduling of ship locks according to claim 1 is characterized in that: The specific analysis method is: The way to obtain the congested flight segment is: Obtain a target path of a set length that takes T1 time to pass before congestion and at least twice T1 time or more to pass after congestion, and mark the center position of the target path that takes the longest time to pass after congestion as the center point; The congested area is taken as the center point and half of the target path length is taken as the initial radius, which is marked as the initial observation circle; Then, with the dot as the center and the end point of the initial radius as the initial point, it is extended in two directions at the same time. Each time the extension is set, the passing time when the congestion occurs is obtained. The extended distance after the extension is divided by the passing time, and the value is marked as the delayed speed. The value obtained by multiplying the initial radius by 2 and then dividing it by the length of the target path is marked as the reference speed; When the delayed speed is greater than or equal to B1 times the base speed, stop extending the route, divide the overall length after extension by 2 and mark the value obtained as the approved radius. Draw a circle around the point according to the approved radius and mark the waterway covered by the circle as the congested section.

5. The method for intelligent diversion of waterway ships for joint scheduling of ship locks according to claim 4 is characterized in that: The method of generating a high-level alarm based on the congestion situation of the channel where the congested section is located is as follows: Obtain the congestion situation of the route where the current congested route segment is located, and the congestion situation includes heavy traffic, light congestion, moderate congestion and heavy congestion; When there is moderate or severe congestion, a high-level alarm will be automatically generated to remind management personnel that emergency intervention is required; When the traffic volume is large and the congestion is mild, an advanced alarm is generated through the pending entry analysis, combining the number of ships in the congested section and the number of ships entering the congested section within the set time.

6. The method for intelligent diversion of waterway ships for joint scheduling of ship locks according to claim 5 is characterized in that: The specific method to be analyzed is: Automatically mark ships whose navigation trajectories include congested sections but have not yet reached the congested sections as waiting to enter based on the navigation trajectories of each ship; Then, the number of objects that can enter the congested section within T2 is obtained, where T2 is a preset value and is marked as the number of ships that are about to enter. At the same time, the number of ships in the congested section is obtained and marked as the benchmark number of ships. When the congested section is in a state of high traffic, when the number of incoming ships accounts for the B2 ratio of the benchmark number of ships, B2 is a preset value, and a high-level alarm is generated to remind the management personnel that emergency intervention and dispatching are required; When the congested section is in a state of mild congestion, when the number of incoming ships accounts for the B3 ratio of the benchmark number of ships, a high-level alarm is generated to remind the management personnel that emergency intervention is required. B3 is a preset value, and B3 ≤ 0.85 times B2; Step S6: Based on the analysis results of S5, notify the management personnel to handle it as soon as possible.