Chinese coastal dry bulk cargo intelligent ship empty ship disc prediction monitoring system
By building a Chinese coastal dry bulk intelligent ship air-ship disc prediction and monitoring system, using ship dynamic data and big data models, the problem of difficult prediction and transportation efficiency in the existing technology is solved, and high-accuracy prediction and improvement of transportation efficiency are achieved.
Patent Information
- Application Number
- CN202510017645.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-06
- Publication Date
- 2025-06-03
AI Technical Summary
The existing technology is difficult to effectively predict the expected capacity status of ships in China's coastal ports, resulting in large differences in cargo allocation and capacity price forecasts, affecting logistics efficiency and performance.
By obtaining dynamic data of ship AIS and GIS, and combining big data and data models, a Chinese coastal dry bulk intelligent ship air-ship disk prediction and monitoring system is built, including the basic data layer, business application layer, algorithm and computing logic layer and application interaction layer, to achieve dynamic prediction of the expected capacity status of port ships.
The accuracy of prediction of the expected capacity status of port ships is improved, the prediction results are almost consistent with the actual capacity status, and the prediction monitoring of dry bulk intelligent ship empty ships is realized, the efficiency of cargo ship search and overall transportation operation efficiency is improved, and transportation costs are reduced.
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Figure CN120087644A_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the technical field of prediction of the light ship condition of dry bulk carriers, and particularly relates to an intelligent prediction and monitoring system for the light ship condition of dry bulk carriers along the coast of China. Background Art
[0002] In recent years, with the continuous growth of shipping freight volume, great challenges have been posed to the utilization rate of bulk cargo transportation resources along the coast of China. For freight shippers and shipping companies, they are all trying their best to actively think about obtaining information on the light ship condition of bulk carriers. By obtaining effective prediction information, they can obtain the expected light ship state, improve the ship-finding efficiency of goods, comprehensively reduce the ship transportation cost, and avoid the waste of bulk cargo transportation resources. This has become a challenge for obtaining the accurate dynamic condition of the shipping capacity of bulk carriers in advance and reasonably utilizing ship transportation resources.
[0003] At present, shippers, freight forwarders, and shipping companies have a very strong demand for predicting the expected shipping capacity of port ships. However, there are still no means and capabilities for dynamic prediction, and this field is still in a technical blank state. Each business party in the coastal shipping supply chain cannot obtain effective ship data through effective technical means. They can only use the historical same-period situation for prediction, mainly relying on business experience and historical same-period situations for judgment. Prediction based on experience often has a large difference from the actual situation, directly affecting the cargo allocation and shipping capacity price prediction of business enterprises, and having a great impact on logistics efficiency and performance.
[0004] With the development of big data and information technology, by timely obtaining the data of ship AIS and GIS, and combining big data and data models, it has been completely possible to achieve the ability to predict the expected arrival of ships, making the prediction of the expected arrival of ships at ports no longer a difficult problem. In this way, it is possible to well achieve the prediction and monitoring of the light ship condition of intelligent dry bulk carriers along the coast. Summary of the Invention
[0005] In order to solve the problem that the current forecast demand for the expected capacity status of port ships can only be carried out by using the historical conditions of the same period as a reference and relying on experience for forecasting, the forecast result is greatly different from the actual situation, which directly affects the cargo allocation and capacity price forecast level of the business enterprise, and it is impossible to predict and monitor the empty ship list of dry bulk intelligent ships, thereby reducing the logistics efficiency and performance. The present invention provides a forecast demand level for the expected capacity status of port ships by timely acquiring dynamic data of ship AIS and GIS, combining big data and data models, so as to improve the forecast demand level for the expected capacity status of port ships, make the forecast result and the actual capacity situation close to each other, thereby realizing the forecast monitoring of the empty ship list of dry bulk intelligent ships, real-time, fast and accurate positioning to find available bulk ships, match suitable shipping capacity, realize rapid search and analysis of coastal bulk transport ships, help business stakeholders such as cargo owners, freight forwarders, shipowners to quickly find suitable ships, quickly complete ship-cargo matching, improve the overall operation efficiency of bulk transport, make full use of ship transport capacity, and comprehensively reduce the cost of bulk transport. The system is a forecast monitoring system for the empty ship list of China's coastal dry bulk intelligent ships.
[0006] The technical solution of the present invention is:
[0007] The China Coastal Dry Bulk Intelligent Ship Empty Ship Forecasting and Monitoring System is characterized by comprising a basic data layer unit (1), a business application layer unit (2), an algorithm and computing logic layer unit (3) and an application interaction layer unit (4); wherein:
[0008] The basic data layer unit (1) includes current and historical AIS, GIS data, ship basic data, port basic data and berth archive data, integrates port groups, port group electronic fence data, port group navigation time and ship average operation time historical data, and provides the above data to the other three units; serving as the data basis and data source for the other three units;
[0009] The business application layer unit (2) includes a bulk cargo ship loading rule model subunit, a coastal port group model subunit, a ship arrival prediction model subunit and a port operation time prediction model subunit; the business application layer unit obtains data from the basic data layer unit;
[0010] Among them, the sub-unit of the bulk carrier loading rule model determines whether it is fully loaded or empty according to the full-load and empty-load rules; according to the last time the ship called at the berth, it determines whether the berth attribute is a loading berth or a unloading berth. Leaving the loading berth is fully loaded, and leaving the unloading berth is empty. If it cannot be determined, it is based on the draft difference. If the draft after calling > the draft before calling, it is fully loaded, and if the draft after calling < the draft before calling, it is empty.
[0011] The composition of the coastal port group model subunit is as follows: ports are combined nearby according to port group rules to form port groups, and the names of each port group, the names of the ports included in each port group, and port codes are established;
[0012] Definition of port group rules: According to the distribution of Chinese ports, port planning is carried out for Chinese coastal ports, they are combined nearby into port groups, and rules for maintenance by port group are based on the port distribution status;
[0013] The composition of the ship arrival prediction model subunit is as follows: A ship arrival prediction is made by establishing the voyage time rule between port groups. The voyage time between port groups refers to the sailing time from a port in one port group to the anchorage of a port in another port group. The voyage time rule between port groups means that the sailing time between the corresponding ports of the two port groups is processed using the voyage time between port groups;
[0014] The composition of the port operation time prediction model subunit is as follows: The definition of the average ship operation time is set, that is, it includes three types of time: the average loading and unloading time, the average loading time, and the average unloading time under different ship types. The three types of time under different ship types are obtained, that is, the port operation time prediction model subunit is obtained;
[0015] The algorithm and calculation logic layer unit (3) includes three units: the ship arrival cargo capacity prediction algorithm subunit, the ship arrival time prediction algorithm subunit, and the port operation time prediction algorithm subunit. The above three units are used for the dynamic time and transport capacity prediction of bulk cargo ships;
[0016] The composition of the ship arrival cargo capacity prediction algorithm subunit is as follows: A ship library range is established. The ship library range is defined as: all bulk cargo ships that have only called at Chinese ports within 1 year and whose flag is the Chinese flag; For the ships within the ship library range, a ship empty / full load judgment algorithm is established by applying the full load and empty load rules to obtain the bulk cargo ship loading rule model subunit;
[0017] The composition of the ship arrival time prediction algorithm subunit is as follows: According to the ship arrival voyage time rule subunit, a voyage time statistics table between port groups is established as the data basis for the ship arrival prediction model subunit;
[0018] The composition of the port operation time prediction algorithm subunit is as follows: The definition of the average ship operation time includes ship type, loading and unloading time, loading time, and unloading time. According to the definition, a value table for these four parameters is established, that is, the loading and unloading time, loading time, and unloading time corresponding to different deadweight ship types; The value table is used as the calculation basis for the port operation time prediction model subunit model;
[0019] The application interaction layer unit (4) is used for front-end data display.
[0020] The port groups in the coastal port group model subunit are: P1 Bohai Bay, P2 Liaodong, P3 Shandong, P4 Dalian and Dandong, P5 Yellow Sea, P6 Shanghai, P7 Yangtze River, P8 Zhejiang, P9 Fuzhou, P10 Xiamen, P11 Shekou, P12 Guangzhou, P13 Haikou, P14 Sanya, and P15 Beibu Gulf.
[0021] The port group range selected by the port group voyage time rule reflected in the port group voyage time statistics table includes: P1 Bohai Bay Group, P2 Liaodong Group, P3 Shandong Group, P4 Dalian and Dandong, P5 Yellow Sea Group, P6 Shanghai Group, P7 Yangtze River Group, P8 Zhejiang Group, P9 Fuzhou Group, P10 Xiamen Group, P11 Shekou Group, P12 Guangzhou Group, P13 Haikou Group, P14 Sanya Group, and P15 Beibu Gulf Group.
[0022] In the ship arrival carrying capacity prediction algorithm subunit of the algorithm and calculation logic layer unit (3), calculations are performed through the ship empty / full load judgment algorithm; in the ship arrival time prediction algorithm subunit, calculations are performed through the ship's sea area judgment algorithm, the northernmost port judgment algorithm, the southernmost port judgment algorithm, and the westernmost port judgment algorithm of the Yangtze River; in the port operation time prediction algorithm subunit, calculations and processing are performed on the data provided by the basic data layer unit (1) through the navigation status destination judgment algorithm and the estimated arrival time algorithm, and the corresponding calculation results are rewritten into the data center of the basic data layer unit (1).
[0023] The establishment rules of the coastal port group model in the business model layer unit (2) are as follows:
[0024] (1) The port groups use the Wenzhou port boundary as the division between the north and south regions. Ships with a deadweight tonnage of 55,000 tons and below are berthed at Wenzhou Port and ports south of Wenzhou Port. On the return journey, they must carry return cargo, and the time calculation needs to add the loading and unloading operation times. Ships with a deadweight tonnage of more than 55,000 tons do not carry return cargo.
[0025] (2) The Nanjing port boundary is used as the standard for dividing inside and outside the Yangtze River.
[0026] (3) When counting the port groups and the destination port groups, there is no distinction between the north and the south, that is, there is a possibility that ships berthed at the northern port groups within these groups will sail south to load goods at the southern port groups within the groups:
[0027] ① Group 1: Bohai Bay, Liaodong, Shandong, Dalian and Dandong;
[0028] ② Group 2: Shanghai, Yangtze River, Zhejiang;
[0029] ③ Group 3: Wenzhou, Fuzhou;
[0030] ④ Group 4: Guangdong, Guangxi, Hainan;
[0031] (4) The principle for ship selection is the maximum scope principle, that is, if there are no ships that can be excluded based on specific business logic, they will not be excluded, and the business personnel will conduct secondary confirmation offline according to business experience or by phone.
[0032] (5) The product only supports single port group statistics; otherwise, double counting will occur.
[0033] (6) Regarding the handling of sailing, anchoring, and berthing states: When calculating time, add or subtract the remaining sailing duration, including the remaining anchoring duration and the remaining operation duration. Among them, the remaining anchoring duration is the average anchoring duration minus the already anchored duration, and the remaining operation duration is the average operation duration minus the already berthed duration.
[0034] (7) Exclude ships with an empty estimated arrival port.
[0035] The calculation rule for the estimated arrival port group time of the ship arrival prediction model sub-unit in the business application layer unit (2) is as follows:
[0036] (1) The destination port of the ship's current voyage is a port group north of Wenzhou, and the statistical port group is located north of this port group;
[0037] The time for the ship to arrive at the statistical port group = the remaining sailing duration of this voyage + the average anchoring duration of the same ship type at the destination port of this voyage + the average operation duration of the ship + the sailing duration from the destination port group of this voyage to the statistical port group;
[0038] (2) If the destination port of the ship's current voyage is a port group north of Wenzhou and the statistical port group is located south of this port group, it is not included in the calculation;
[0039] (3) The destination port of the ship is a port group in Wenzhou and south of Wenzhou, and the statistical port group is located in the Yellow Sea port group and north of the Yellow Sea port group;
[0040] The time for the ship to arrive at the statistical port group = the remaining sailing duration of this voyage + the average anchoring duration of the same ship type at the destination port of this voyage + the average operation duration of the ship + the loading and unloading duration of the ship + the sailing duration from the destination port group of this voyage to the statistical port group;
[0041] (4) The destination port of the ship is a port group in Wenzhou and south of Wenzhou, and the statistical port group is located south of the Yellow Sea port group, excluding the Yellow Sea port group;
[0042] The time for the ship to arrive at the statistical port group = the remaining sailing duration of this voyage + the average anchoring duration of the same ship type at the destination port of this voyage + the average operation duration of the ship + the sailing duration from the destination port group of this voyage to the statistical port group.
[0043] The rule for empty ships in the empty ship rule model sub-unit of the bulk carrier loading rule in the business application layer unit (2) is as follows:
[0044] (1) Anchoring at the loading port: If the destination of the next port is unknown, such vessels are excluded and regarded as available vessels
[0045] (2) Anchoring at the unloading port: The vessels anchored at the unloading port have the highest priority
[0046] (3) Method for calculating the time when the vessel is expected to arrive at the statistical port group: For the northern port group, the calculation method is: the sailing duration from the port group of the destination of this voyage to the statistical port group. The northern port group is the port group north of Wenzhou where the anchoring port group is located
[0047] For the southern port group, the calculation method is: the sailing duration from the port group of the destination of this voyage to the statistical port group plus the loading and unloading durations of the vessel. The southern port circle is the port group south of Wenzhou where the anchoring port group is located
[0048] The vessel measurement rules of the coastal port group model sub-unit in the service application layer unit (2) are as follows:
[0049] (1) When the loading port group and the vessel berthing port group are the same port group:
[0050] ① If the loading port group and the vessel berthing port group are the same port group, and if the vessel berths at the Bohai Bay group and the Liaodong group, then these vessels are excluded
[0051] ② If the vessel berthing port belongs to the port group south of Wenzhou Port and is in a fully loaded state before berthing, the expected arrival time is "0" days. According to the business logic, since the vessel is in a fully loaded state before berthing and the berthing is for unloading operations, at this time, return cargo trays of the same port group are recommended for the vessel, and since it is in the same port group, the system defaults the sailing time to "0" days
[0052] ③ If the vessel berthing port belongs to the port group south of Wenzhou Port and is in a light load state before berthing, then this vessel is excluded
[0053] ④ If the vessel berthing port belongs to the port group north of Wenzhou Port and is in a fully loaded state before berthing, then the expected arrival time is "0" days
[0054] (2) When the loading port group and the vessel berthing port group are different port groups:
[0055] ① If the vessel berthing port is the port group south of Wenzhou Port and is in a fully loaded state before berthing, the expected arrival time is the loading and unloading time plus the time from the berthing port group to the loading port group, including the loading and unloading time of the return cargo
[0056] ② If the vessel berthing port is the port group south of Wenzhou Port and is in a light load state before berthing, the expected arrival time is the unloading time plus the time from the berthing port group to the loading port group
[0057] ③ If the ship berths at the port group north of Wenzhou Port and is fully loaded before berthing, the estimated arrival time is the time it takes to travel from the berthing port group to the loading port group;
[0058] ④ If it is impossible to determine whether the ship is empty or full before berthing, and the ship is calling at the port group south of Wenzhou, it will be assumed to be empty at this time;
[0059] ⑤ If it is impossible to determine whether the ship is empty or full before berthing, and the ship is docked at the port group north of Wenzhou, it will be assumed to be fully loaded;
[0060] (3) When the loading port group and the ship anchoring port group are the same port group:
[0061] ① If the loading port group and the ship anchoring port group are the same port group, if the ship anchoring port is the Bohai Bay Group and Liaodong Group, these ships will be excluded;
[0062] ② If the ship's anchoring port belongs to the port group south of Wenzhou Port and is fully loaded before anchoring, the expected arrival time is "0" day; if the ship is fully loaded before anchoring, it is recommended that the ship return to the same port group at this time, and the system defaults to a sailing time of "0" day;
[0063] ③ If the ship's anchoring port belongs to the port group south of Wenzhou Port and is unloaded before anchoring, the system defaults the sailing time to "0";
[0064] ④ If the ship's anchorage port belongs to the port group north of Wenzhou Port and is fully loaded before anchoring, the expected arrival time is "0" days;
[0065] ⑤ If the ship's anchoring port belongs to the port group north of Wenzhou Port and is empty before anchoring, the expected arrival time is "0" days;
[0066] (4) The loading port group and the ship anchoring port group are different port groups:
[0067] ① If the ship's anchoring port belongs to the port group south of Wenzhou Port and is fully loaded before anchoring, the estimated arrival time is the unloading time plus the loading and unloading time plus the time of sailing from the anchoring port group to the loading port group. It is necessary to unload first, then load the return cargo, and then sail to the loading port;
[0068] ② If the ship's anchoring port belongs to the port group south of Wenzhou Port and is unloaded before anchoring, the estimated arrival time is the loading and unloading time plus the time for traveling from the anchoring port group to the loading port group;
[0069] ③ If the ship's anchoring port is a port group north of Wenzhou Port and is fully loaded before anchoring, the estimated arrival time is the unloading time plus the time for traveling from the anchoring port group to the loading port group;
[0070] ④ If the empty or full status cannot be determined, the area south of Wenzhou is assumed to be empty by default, and the area north of Wenzhou is assumed to be fully loaded by default;
[0071] (5) When the destination port group is known:
[0072] ① If the loading port group is the destination port group and is fully loaded, the expected arrival time is the unloading time plus the expected arrival remaining time;
[0073] ② If the loading port group is the destination port group and is empty, the ship will be excluded;
[0074] ③ If the loading port group and the destination port group are different port groups and are fully loaded, the expected arrival time is the unloading time plus the remaining expected arrival time plus the time for the expected arrival port group to travel to the loading port group;
[0075] ④ If the loading port group and the destination port group are different port groups and the ship is unloaded, the ship will be excluded;
[0076] ⑤ If it is impossible to determine whether the ship is empty or full, the ship is assumed to be fully loaded;
[0077] In case of unknown destination port group:
[0078] ① If the current location is in the same area as the loading port and is fully loaded, the estimated arrival time is the unloading time;
[0079] ② If the current location is in the same area as the loading port and is empty, the vessel is excluded;
[0080] ③ If the current location is in a different area from the loading port and is fully loaded, the estimated arrival time is the unloading time plus the time it takes to travel from the current port group to the loading port group;
[0081] ④ If the current location is different from the loading port and is empty, the vessel will be excluded;
[0082] ⑤If the current location is not in any area, the area closest to the current location is used for judgment;
[0083] ⑥If the empty or full load state cannot be determined, the full load state will be assumed by default.
[0084] There are three ways to display the front-end data of the application interaction layer unit (4): map display, query service, and chart display. Among them, the map display shows the distribution of each port group and the change in port ship operation time to reflect the business busyness and operation efficiency of the port group. The chart display shows the time prediction chart of the bulk cargo ships arriving at the port group to quantitatively and graphically reflect the change trend of the available ships in the port group. The query service uses specific quantitative data to search for available ships in a specific port group within the expected time range.
[0085] In the coastal port group subunit of the business application layer unit (2), the port group name, ports included in the port group, and port codes in the port group definition are specifically as follows:
[0086] (1) P1 Bohai Bay Group, including ports and codes: Tianjin CNTJN, Qinhuangdao CNQHD, Huanghua CNHUA, Jingtang CNJIT, Caofeidian CNCFD;
[0087] (2) P2 Liaodong Group, including ports and codes: Huludao CNHLD, Panjin CNPAN, Bayuquan CNBYQ, Jinzhou CNJIN, Yingkou CNYIN, Suizhong CNSIZ;
[0088] (3) P3 Shandong Group, including ports and codes: Binzhou CNBNZ, Dongying CNDYI, Weifang CNWEF, Longkou CNLKU, Yantai CNYAN, Weihai CNWEI;
[0089] (4) P4 Dalian Dandong Group, including ports and codes: Dalian CNDAL, Dandong CNDDG;
[0090] (5) P5 Yellow Sea Group, including ports and codes: Qingdao CNQIN, Rizhao CNRIZ, Lianyungang CNLYG, Dongjiakou CNDJK, Binhai CNBHX, Yangkou CNYKO, Dafeng CNDAF;
[0091] (6) P6 Shanghai Group, including ports and codes: Shanghai CNSHA, Jiaxing CNJIX, Ningbo CNNBO, Zhoushan CNZOS, Nantong CNNTG, Taicang CNTAI;
[0092] (7) P7 Yangtze River Group, including ports and codes: Jiangyin CNJIA, Zhangjiagang CNZJG, Zhenjiang CNZHE, Taizhou CNTAZ, Changzhou CNCHZ, Nanjing CNNJG;
[0093] (8) P8 Zhejiang Group, including ports and codes: Taizhou CNTZH, Wenzhou CNWEN;
[0094] (9) P9 Fuzhou Group, including ports and codes: Ningde CNNDE, Putian CNMEZ, Fuzhou CNFUZ, Meizhou Bay CNMEZ;
[0095] (10) P10 Xiamen Group, including ports and codes: Xiamen CNXIA, Quanzhou CNQUA, Zhangzhou CNZZU, Chaozhou CNCZH, Jieyang CNJYG, Shantou CNSTO;
[0096] (11) P11 Shekou Group, including ports and codes: Shanwei CNSWE, Huizhou CNHUI, Shenzhen CNSHZ;
[0097] (12) P12 Guangzhou Group, including ports and codes: Dongguan CNDNG, Guangzhou CNGUA, Yangjiang CNYJG, Zhuhai CNZHH;
[0098] (13) P13 Haikou Group, including ports and codes: Zhanjiang CNZHA, Haikou CNHKO;
[0099] (14) P14 Sanya Group includes ports and codes: Yangpu CNYPG, Basuo CNBAS, Sanya CNSYA;
[0100] (15) P15 Beibu Gulf Group; including ports and codes: Qinzhou CNQIZ, Fangchenggang CNFAN, Beihai CNBHI.
[0101] In the port group voyage time statistical table of the ship arrival time prediction algorithm sub - unit in the algorithm and calculation logic layer unit (3), the voyage time between each port group is defined as:
[0102] (1) The voyage days between the Bohai Bay Group P1 and the Bohai Bay Group P1, Liaodong Group P2, Shandong Group P3, Dalian and Dandong Group P4, Yellow Sea Group P5, Shanghai Group P6, Yangtze River Group P7, Zhejiang Group P8, Fuzhou Group P9, Xiamen Group P10, Shekou Group P11, Guangzhou Group P12, Haikou Group P13, Sanya Group P14, and Beibu Gulf Group P15 are: 0, 1, 1, 1, 2, 3, 3.5, 3.5, 4.3, 4.8, 5.8, 6, 7, 7.5, and 7.5;
[0103] (2) The voyage days between the Liaodong Group P2 and the Bohai Bay Group P1, Liaodong Group P2, Shandong Group P3, Dalian and Dandong Group P4, Yellow Sea Group P5, Shanghai Group P6, Yangtze River Group P7, Zhejiang Group P8, Fuzhou Group P9, Xiamen Group P10, Shekou Group P11, Guangzhou Group P12, Haikou Group P13, Sanya Group P14, and Beibu Gulf Group P15 are: 1, 0, 1, 0.5, 2, 3, 3.5, 3.5, 4.3, 4.8, 5.8, 6, 7, 7.5, and 7.5;
[0104] (3) The flight durations in days for P3 Shandong Group with P1 Bohai Bay Group, P2 Liaodong Group, P3 Shandong Group, P4 Dalian Dandong Group, P5 Yellow Sea Group, P6 Shanghai Group, P7 Yangtze River Group, P8 Zhejiang Group, P9 Fuzhou Group, P10 Xiamen Group, P11 Shekou Group, P12 Guangzhou Group, P13 Haikou Group, P14 Sanya Group and P15 Beibu Gulf Group are: 1, 1, 0, 0.5, 1, 2, 2.5, 2.5, 3.8, 4.3, 4.8, 5, 6, 6.5 and 6.5;
[0105] (4) The flight durations in days for P4 Dalian Dandong Group with P1 Bohai Bay Group, P2 Liaodong Group, P3 Shandong Group, P4 Dalian Dandong Group, P5 Yellow Sea Group, P6 Shanghai Group, P7 Yangtze River Group, P8 Zhejiang Group, P9 Fuzhou Group, P10 Xiamen Group, P11 Shekou Group, P12 Guangzhou Group, P13 Haikou Group, P14 Sanya Group and P15 Beibu Gulf Group are: 1, 0.5, 0.5, 0, 1, 2, 2.5, 2.5, 3.8, 4.3, 4.8, 5, 6, 6.5 and 6.5;
[0106] (5) The flight durations in days for P5 Yellow Sea Group with P1 Bohai Bay Group, P2 Liaodong Group, P3 Shandong Group, P4 Dalian Dandong Group, P5 Yellow Sea Group, P6 Shanghai Group, P7 Yangtze River Group, P8 Zhejiang Group, P9 Fuzhou Group, P10 Xiamen Group, P11 Shekou Group, P12 Guangzhou Group, P13 Haikou Group, P14 Sanya Group and P15 Beibu Gulf Group are: 2, 2, 1, 1, 0, 2, 2.5, 2.5, 3, 3.5, 4.5, 5, 6, 6.5 and 6.5;
[0107] (6) The flight durations in days for P6 Shanghai Group with P1 Bohai Bay Group, P2 Liaodong Group, P3 Shandong Group, P4 Dalian Dandong Group, P5 Yellow Sea Group, P6 Shanghai Group, P7 Yangtze River Group, P8 Zhejiang Group, P9 Fuzhou Group, P10 Xiamen Group, P11 Shekou Group, P12 Guangzhou Group, P13 Haikou Group, P14 Sanya Group and P15 Beibu Gulf Group are: 3, 3, 2, 2, 2, 0, 1, 1, 2, 2.5, 3, 3.5, 4.5, 5 and 5;
[0108] (7) The flight durations in days for P7 Yangtze River Group with P1 Bohai Bay Group, P2 Liaodong Group, P3 Shandong Group, P4 Dalian Dandong Group, P5 Yellow Sea Group, P6 Shanghai Group, P7 Yangtze River Group, P8 Zhejiang Group, P9 Fuzhou Group, P10 Xiamen Group, P11 Shekou Group, P12 Guangzhou Group, P13 Haikou Group, P14 Sanya Group and P15 Beibu Gulf Group are: 3.5, 3.5, 2.5, 2.5, 2.5, 1, 0, 2, 3, 3.5, 4, 4.5, 5, 5.5 and 5.5;
[0109] (8) The flight durations in days for Group P8 Zhejiang, Group P1 Bohai Bay, Group P2 Liaodong, Group P3 Shandong, Group P4 Dalian - Dandong, Group P5 Yellow Sea, Group P6 Shanghai, Group P7 Yangtze River, Group P8 Zhejiang, Group P9 Fuzhou, Group P10 Xiamen, Group P11 Shekou, Group P12 Guangzhou, Group P13 Haikou, Group P14 Sanya, and Group P15 Beibu Gulf are: 3.5, 3.5, 2.5, 2.5, 2.5, 1, 2, 0, 1, 1.5, 2.5, 3, 4, 4.5, and 4.5;
[0110] (9) The flight durations in days for Group P9 Fuzhou, Group P1 Bohai Bay, Group P2 Liaodong, Group P3 Shandong, Group P4 Dalian - Dandong, Group P5 Yellow Sea, Group P6 Shanghai, Group P7 Yangtze River, Group P8 Zhejiang, Group P9 Fuzhou, Group P10 Xiamen, Group P11 Shekou, Group P12 Guangzhou, Group P13 Haikou, Group P14 Sanya, and Group P15 Beibu Gulf are: 4.3, 4.3, 3.8, 3.8, 3, 2, 3, 1, 0, 0.5, 1.7, 2, 3, 3.5, and 3.5;
[0111] (10) The flight durations in days for Group P10 Xiamen, Group P1 Bohai Bay, Group P2 Liaodong, Group P3 Shandong, Group P4 Dalian - Dandong, Group P5 Yellow Sea, Group P6 Shanghai, Group P7 Yangtze River, Group P8 Zhejiang, Group P9 Fuzhou, Group P10 Xiamen, Group P11 Shekou, Group P12 Guangzhou, Group P13 Haikou, Group P14 Sanya, and Group P15 Beibu Gulf are: 4.8, 4.8, 4.3, 4.3, 3.5, 2.5, 3.5, 1.5, 1, 0, 1, 1.5, 2.5, 3, and 3;
[0112] (11) The flight durations in days for Group P11 Shekou, Group P1 Bohai Bay, Group P2 Liaodong, Group P3 Shandong, Group P4 Dalian - Dandong, Group P5 Yellow Sea, Group P6 Shanghai, Group P7 Yangtze River, Group P8 Zhejiang, Group P9 Fuzhou, Group P10 Xiamen, Group P11 Shekou, Group P12 Guangzhou, Group P13 Haikou, Group P14 Sanya, and Group P15 Beibu Gulf are: 5.8, 5.8, 4.8, 4.8, 4.5, 3, 4, 2.5, 1.7, 1, 0, 0.5, 1, 1.5, and 1.5;
[0113] (12) The flight durations in days for Group P12 Guangzhou, Group P1 Bohai Bay, Group P2 Liaodong, Group P3 Shandong, Group P4 Dalian - Dandong, Group P5 Yellow Sea, Group P6 Shanghai, Group P7 Yangtze River, Group P8 Zhejiang, Group P9 Fuzhou, Group P10 Xiamen, Group P11 Shekou, Group P12 Guangzhou, Group P13 Haikou, Group P14 Sanya, and Group P15 Beibu Gulf are: 6, 6, 5, 5, 5, 3.5, 3.5, 3, 2, 1.5, 0.5, 0, 1, 1.5, and 1.5;
[0114] (13) The voyage days of P13 Haikou Group, P1 Bohai Bay Group, P2 Liaodong Group, P3 Shandong Group, P4 Dalian Dandong Group, P5 Yellow Sea Group, P6 Shanghai Group, P7 Yangtze River Group, P8 Zhejiang Group, P9 Fuzhou Group, P10 Xiamen Group, P11 Shekou Group, P12 Guangzhou Group, P13 Haikou Group, P14 Sanya Group and P15 Beibu Gulf Group are: 7, 7, 6, 6, 6, 4.5, 5, 4, 3, 2.5, 1, 1, 0, 0.8 and 0.8;
[0115] (14) The voyage days of P14 Sanya Group, P1 Bohai Bay Group, P2 Liaodong Group, P3 Shandong Group, P4 Dalian Dandong Group, P5 Yellow Sea Group, P6 Shanghai Group, P7 Yangtze River Group, P8 Zhejiang Group, P9 Fuzhou Group, P10 Xiamen Group, P11 Shekou Group, P12 Guangzhou Group, P13 Haikou Group, P14 Sanya Group and P15 Beibu Gulf Group are: 7.5, 7.5, 6.5, 6.5, 6.5, 5, 5.5, 4.5, 3.5, 3, 1.5, 1.5, 0.8, 0 and 1;
[0116] (15) The voyage days of P15 Beibu Gulf Group, P1 Bohai Bay Group, P2 Liaodong Group, P3 Shandong Group, P4 Dalian Dandong Group, P5 Yellow Sea Group, P6 Shanghai Group, P7 Yangtze River Group, P8 Zhejiang Group, P9 Fuzhou Group, P10 Xiamen Group, P11 Shekou Group, P12 Guangzhou Group, P13 Haikou Group, P14 Sanya Group and P15 Beibu Gulf Group are: 7.5, 7.5, 6.5, 6.5, 6.5, 5, 5.5, 4.5, 3.5, 3, 1.5, 1.5, 0.8, 1 and 0.
[0117] For vessels with a loading and unloading capacity of over 40,000 tons in the port operation time prediction model sub-unit of the algorithm and calculation logic layer unit (3), the calculation method is as follows: the average loading and unloading time is 7 hours, the average loading time is 3.5 hours, and the average unloading time is 3.5 hours.
[0118] The effect of the present invention is that the intelligent empty ship berth prediction and monitoring system for dry bulk carriers along the coast of China is composed of a basic data layer unit (1), a business application layer unit (2), an algorithm and calculation logic layer unit (3), and an application interaction layer unit (4).
[0119] The basic data layer unit collects public current and historical ship AIS, GIS data, ship basic data, port basic data, and berth file data, and integrates port group, port group electronic fence data, voyage time between port groups, and historical data of average ship operation time. The model provided by the business application layer unit and the algorithm provided by the algorithm and calculation logic layer use the data of the basic data layer unit to predict the expected available ship volume in the port.
[0120] The relevant business rule models and prediction algorithms in the algorithm and calculation logic layer are rules for the loaded and empty ship status of bulk carriers in the coastal ports of China, obtained through comprehensive analysis of the deadweight, navigation characteristics, and previous navigation operation rules of bulk carriers. Through these rule models, based on freight demand data and real-time data analysis, it is possible to provide real-time, fast, and accurate information on available bulk empty ships at a certain future moment for freight demand, provide a rapid search of the coastal bulk shipping vessel database for shippers, shipping companies, and logistics companies, help business-related parties such as shippers, freight forwarders, and shipowners quickly find suitable vessels, quickly complete ship-cargo matching, improve the prediction demand level of the expected ship capacity at the port, be close to the actual capacity situation, thereby realizing the prediction and monitoring of the empty ship status of dry bulk intelligent ships, enhancing the overall operation efficiency of shipping, and reducing costs and carbon emissions.
[0121] The present invention establishes a sub-unit of the coastal port group model by integrating the dynamic data of AIS and GIS, designs multiple port groups for the coastal ports of China according to the laws of dry bulk cargo transportation along the coast of China, and combines the general business experience in the current industry. It can conduct regional searches for dry bulk intelligent ships along the coast of China and predict the port groups in the port areas where they are expected to arrive, reducing the calculation error of the empty ship status of a single port and enhancing the availability of finding ships within the regional scope of a single port group.
[0122] The present invention is a service system for predicting the empty ship status of port dry bulk ships within a specified time range, developed to dynamically predict the status of transport capacity resources for dry bulk cargo transportation in the coastal areas of China and provide more effective information on dry bulk cargo transportation vessel resources for shippers and logistics companies. The present invention mainly solves the following technical difficult problems:
[0123] (1) The problem of designing the port area division rules
[0124] According to the laws of dry bulk cargo transportation along the coast of China and combining the general business experience in the current industry, multiple port groups are designed for the coastal ports of China to construct business rules for finding empty ship status based on the regional scope of the port group, reducing the calculation error of the empty ship status of a single port and enhancing the availability of finding ships within the regional scope of a single port group.
[0125] (2) The problem of the rules for the expected empty ship status of ships
[0126] Based on the data of bulk carriers in the coastal areas of China in the past three years, through comprehensive analysis of the deadweight, navigation characteristics, and previous navigation operation rules of bulk carriers, the rules for the loaded and empty ship status of bulk carriers in the coastal ports of China are summarized. Rule models are established through these rules to provide support for the prediction of the empty ship status of dry bulk intelligent ships.
[0127] (3) The problem of predicting and calculating the expected arrival time of ships
[0128] Based on the publicly available AIS and GIS dynamic data of ships, by establishing a data analysis model and prediction algorithm, the ability to analyze the expected navigation status of ships and predict the time of arrival in the port group area is comprehensively established, providing support for calculating the time prediction of a single ship arriving at the port group.
[0129] (4) Prediction problem of the expected return cargo-carrying capacity of ships
[0130] Based on the monitoring and prediction of the shipping capacity of dry bulk cargo ships in the port group, with the expected empty ship allocation rule model of the ship as the core, it is realized to quickly find suitable ships with the ability to load return cargo for relevant parties, reasonably arrange the shipping ports, quickly complete the ship-cargo matching, improve the overall operation efficiency of shipping, and realize the shipping capacity prediction ability with high availability.
[0131] The main advantages of the present invention are as follows:
[0132] 1. Make full use of ship Internet of Things data, combine it with port groups on the map, and under the support of a relatively complete GIS and shipping-related database, conduct real-time monitoring and historical behavior dynamic analysis of coastal ships;
[0133] 2. Through the input of a very small amount of freight demand data by users, all suitable ships can be queried from the coastal bulk cargo ship database with one key, greatly improving the scope and breadth of ship-cargo matching; changing the inefficient modes of previous telephone communication, WeChat group contact and acquaintance circle, making the available ship information transparent, improving work efficiency and reducing the rent-seeking space.
[0134] The present invention will be further described below in conjunction with the accompanying drawings and embodiments. Description of the Drawings
[0135] Figure 1 is the structural block diagram of the present invention;
[0136] Figure 2 is the display diagram of expected ship finding;
[0137] Figure 3 is the display diagram of the prediction chart of bulk cargo empty ship allocation;
[0138] Figure 4 Port group rule definition table;
[0139] Figure 5 Inter-port group voyage time rule table;
[0140] Figure 6 Ship average operation time definition table. Detailed Embodiments
[0141] The China Coastal Dry Bulk Intelligent Ship Empty Ship Forecast Monitoring System is based on bulk carriers with Chinese flags as the bulk cargo capacity. On this basis, it calculates the number of empty ship orders in each port group within a specific time range for analysis and prediction. The empty ship order is essentially a group trend forecast and query of the coastal bulk carrier warehouse according to the expected arrival time within a certain time range according to specific business logic. The specific implementation method is as follows:
[0142] 1. System Architecture
[0143] like Figure 1 As shown, the present invention comprises four main parts: a basic data layer unit 1, a business application layer unit 2, an algorithm and calculation logic layer unit 3 and an application interaction layer unit 4.
[0144] Basic data layer unit 1 includes current and historical AIS, GIS data, basic ship data, basic port data and berth archive data, integrated port groups, port group electronic fence data, port group navigation time and historical data of average ship operation time, and provides the above data to the other three units as the data basis and data source of the other three units, providing the necessary data basis and data source services for this system.
[0145] The business application layer unit 2 is planned and designed based on the three dimensions of ships, ports and time. It is mainly based on the actual operating characteristics of China's coastal ports and the laws of bulk carriers in the long-term transportation process, including a bulk carrier loading rule model subunit, a coastal port group model subunit, a ship arrival prediction model subunit and a port operation time prediction model subunit; the business application layer unit obtains data from the basic data layer unit and is the constraint basis of important business rules in this system.
[0146] Among them, the sub-unit of the bulk carrier loading rule model determines whether it is fully loaded or empty according to the full and empty rules; according to the last time the ship called at the berth, it determines whether the berth attribute is a loading berth or a unloading berth. Leaving the loading berth is fully loaded, and leaving the unloading berth is empty. If it cannot be determined, it is based on the draft difference. If the draft after calling at the berth is greater than the draft before calling at the berth, it is fully loaded, and if the draft after calling at the berth is less than the draft before calling at the berth, it is empty.
[0147] The coastal port group model sub-unit is composed of: combining nearby ports according to port group rules to form port groups, and establishing the names of each port group, the names of ports included in each port group and the port codes.
[0148] Definition of port cluster rules: Based on the distribution of Chinese ports, China's coastal ports are planned, grouped into port clusters nearby, and maintained as port clusters according to the distribution status of ports.
[0149] The composition of the ship arrival prediction model subunit is as follows: establish the voyage time rules between port groups for ship arrival prediction. The voyage time between port groups refers to the sailing time from a port in one port group to the anchorage of a port in another port group. The voyage time rules between port groups mean that the sailing time between the corresponding ports of the two port groups is processed using the voyage time between port groups.
[0150] The composition of the port operation time prediction model subunit is as follows: set the definition of the average ship operation time, which includes three types of time: the average loading and unloading time, the average loading time, and the average unloading time under different ship types. Obtain the three types of time under different ship types, that is, obtain the port operation time prediction model subunit.
[0151] The algorithm and calculation logic layer unit 3 includes three units: the ship arrival carrying capacity prediction algorithm subunit, the ship arrival time prediction algorithm subunit, and the port operation time prediction algorithm subunit. The above three units are used for the dynamic time and capacity prediction of bulk carriers, and build the core capabilities based on the dynamic time and capacity prediction of bulk carriers, serving as the main calculation service unit for the empty ship prediction of bulk carriers arriving at the port.
[0152] The composition of the ship arrival loaded capacity prediction algorithm subunit is as follows: establish the scope of the ship library. The scope of the ship library is defined as: all bulk carriers that have only called at Chinese ports within one year and whose flag is the Chinese flag; apply the full-load and empty-load rules to the ships within the scope of the ship library to establish a ship empty / full-load judgment algorithm, so as to obtain the bulk carrier loading rule model subunit.
[0153] The composition of the ship arrival time prediction algorithm subunit is as follows: establish a voyage time statistical table between port groups according to the ship arrival voyage time rules subunit, which serves as the data basis for the ship arrival prediction model subunit.
[0154] The composition of the port operation time prediction algorithm subunit is as follows: the definition of the average ship operation time includes ship type, loading and unloading time, loading time, and unloading time. Establish a value table for these four parameters according to the definition, that is, the loading and unloading time, loading time, and unloading time corresponding to different deadweight ship types; the value table serves as the calculation basis for the port operation time prediction model subunit model.
[0155] The application interaction layer unit 4 is used for front-end data display. The front-end data display subsystem includes three ways and means: map display, query service, and chart display. Among them, the map displays the distribution of each port group and the change of port ship operation time, so as to reflect the business busyness and operation efficiency of the port group. Establish a time prediction chart of bulk carriers arriving at the port group in the form of a chart to quantitatively and graphically reflect the change trend of available ships in the port group. The query service uses specific quantitative data to search for available ships in a specific port group within the expected time range.
[0156] System core functions
[0157] Expected ship-finding function for port clusters
[0158] As Figure 2 shown, the system calculates in real time the situation of bulk cargo ships expected to arrive at the port through the three algorithm sub-units of the algorithm and logic layer unit 3, and conducts ship-finding operations for ships that can be loaded through the expected port cluster range and expected time, providing the ability for the demand side to lock in expected ships in advance.
[0159] Expected empty ship inventory trend analysis for port clusters
[0160] As Figure 3 shown, the system conducts trend analysis on the expected arrival of available ships at the port cluster according to the data of the expected arrival of bulk cargo ships at the port cluster calculated and analyzed by the three algorithm sub-units of the algorithm and logic layer unit 3, and forms a trend analysis of the expected number of ships that can be loaded in a time period.
[0161] Monitoring of port cluster congestion
[0162] The congestion situation of the port cluster reflects the inventory and operation efficiency of ships in the port. For the demand side, it can fully judge the density of ships in the port cluster, which is a powerful means to judge the expected transportation capacity of the port cluster in a certain time period.
[0163] III. System business process
[0164] 1. Obtain data
[0165] The system obtains relevant raw material data that has been processed and sorted in real time through the COSCO Shipping Technology Shipping Data Middle Platform, mainly including: AIS data, GIS electronic fence data, ship basic data, port basic data, berth file data, and route data, etc.
[0166] Modeling and data calculation
[0167] The back-end algorithm sub-system calculates and processes the raw material data through algorithms such as ship full / empty judgment algorithm, ship location sea area judgment algorithm, northernmost port judgment algorithm, southernmost port judgment algorithm, westernmost port of the Yangtze River judgment algorithm, navigation status destination judgment algorithm, and expected arrival time algorithm, and writes the corresponding calculation results back to the Shipping Data Middle Platform.
[0168] The specific model algorithms are as follows:
[0169] (1) Definition of ship library scope
[0170] All bulk cargo ships that have only called at Chinese ports within 1 year and have a Chinese flag.
[0171] (2) Definition of port cluster rules
[0172] According to the distribution of ports in China, port group planning and definition are carried out for coastal ports in China. Currently, the specific rules for maintenance according to the port distribution status are shown in Table 4:
[0173] (3) The voyage time rule between port groups is shown in Table 5
[0174] (4) The definition of the average operation time of ships is shown in Table 6
[0175] (1) Business rule model
[0176] The port groups are divided into north and south regions with Wenzhou Port as the boundary. By default, ships with a deadweight tonnage of 55,000 tons (inclusive) or less are allowed to call at ports south of Wenzhou Port (inclusive). On the return journey, they must carry backhaul cargo, and the time calculation needs to include the loading and unloading operation time. For specific time, please refer to (Definition of the average operation time of ships); ships with a deadweight tonnage of more than 55,000 tons do not carry backhaul cargo.
[0177] Taking Nanjing Port as the boundary is the standard for dividing inside and outside the Yangtze River. This product is designed and developed for coastal bulk cargo transportation. Ships currently located west of Nanjing Port (inclusive) are not target ships.
[0178] When counting port groups and destination port groups without distinguishing between north and south, that is, ships calling at northern port groups within these groups may sail south to load goods at southern port groups within the groups:
[0179] Group 1: Bohai Bay, Liaodong, Shandong, Dalian and Dandong;
[0180] Group 2: Shanghai, Yangtze River, Zhejiang;
[0181] Group 3: Wenzhou, Fuzhou
[0182] Group 4: Guangdong, Guangxi, Hainan
[0183] The principle of finding ships is the maximum scope principle, that is, if there are no ships that can be excluded by exact business logic, try not to exclude them as much as possible and try not to miss any ships. Secondary confirmation is carried out offline by business personnel.
[0184] The product only supports single port group statistics, otherwise double counting will occur.
[0185] For the handling of the sailing, anchoring and berthing states, the remaining sailing duration, the remaining anchoring duration (average anchoring duration - elapsed anchoring duration), and the remaining operation duration (average operation duration - elapsed berthing duration) can be added or subtracted accordingly in the time calculation.
[0186] Ships with a pre-arrival port being empty are excluded.
[0187] (2) Time calculation rule for the pre-arrival port group
[0188] 1. The destination port of the ship's current voyage is the port group north of Wenzhou, and the statistical port group is located north of this port group.
[0189] The estimated arrival time of the ship at the statistical port group = the remaining voyage duration of this voyage + the average anchorage duration of the same ship type at the destination port of this voyage + the average operation duration of the ship + the voyage duration from the destination port group of this voyage to the statistical port group
[0190] 2. If the destination port of the ship's current voyage is the port group north of Wenzhou and the statistical port group is located south of this port group, it is not included in the calculation.
[0191] 3. If the destination port of the ship is the port group south of (including) Wenzhou and the statistical port group is located north of (including) the Yellow Sea port group
[0192] The estimated arrival time of the ship at the statistical port group = the remaining voyage duration of this voyage + the average anchorage duration of the same ship type at the destination port of this voyage + the average operation duration of the ship + the loading and unloading duration of the ship + the voyage duration from the destination port group of this voyage to the statistical port group
[0193] 4. If the destination port of the ship is the port group south of (including) Wenzhou and the statistical port group is located south of (excluding) the Yellow Sea port group
[0194] The estimated arrival time of the ship at the statistical port group = the remaining voyage duration of this voyage + the average anchorage duration of the same ship type at the destination port of this voyage + the average operation duration of the ship + the voyage duration from the destination port group of this voyage to the statistical port group
[0195] (3) Rules for empty ships
[0196] Anchorage at the loading port: The destination of the next port is unknown, excluding the ship, and it is regarded as an available ship for unloading. Anchorage at the unloading port: The ship anchored at the unloading port has the highest priority.
[0197] The estimated arrival time of the ship at the statistical port group (northern port group) = the voyage duration from the destination port group of this voyage to the statistical port group (the anchorage port group is the port group north of Wenzhou)
[0198] The estimated arrival time of the ship at the statistical port group (southern port group) = the voyage duration from the destination port group of this voyage to the statistical port group + the loading and unloading duration of the ship (the anchorage port group is the port group south of Wenzhou)
[0199] (4) Rules for measuring ships in the port group
[0200] In the case where the loading port group and the ship-berthing port group are exactly the same port group;
[0201] If the loading port group and the ship-berthing port group are exactly the same port group, at this time, if the ship berths at the Bohai Bay group and the Liaodong group, according to business experience, these ships are basically already loaded, so these ships are excluded.
[0202] If the ship's berthing port belongs to the port group south of Wenzhou Port and is fully loaded before berthing, the expected arrival time is "0" day. According to business logic, the ship is fully loaded before berthing and berthing is for unloading operations. At this time, the return cargo pallet of the same port group is recommended for the ship, and the success rate is higher. Since it is in the same port group, the system defaults to a sailing time of "0" day.
[0203] If the ship's berthing port belongs to the port group south of Wenzhou Port and was unloaded before berthing, then exclude the ship because the ship is likely to have been loaded with return cargo and there is no need to recommend cargo from the same port group.
[0204] If the ship's berthing port belongs to the port group north of Wenzhou Port and is fully loaded before berthing, the expected arrival time is "0" days.
[0205] When the loading port group and the ship berthing port group are different port groups;
[0206] If the ship's berthing port is a port group south of Wenzhou Port and is fully loaded before berthing, the expected arrival time = loading & unloading time + the time from the berthing port group to the loading port group, because according to business logic, the loading and unloading time of the return cargo must be included.
[0207] If the ship berths at the port group south of Wenzhou Port and is empty before berthing, then the ship is most likely to load return cargo and is currently berthing. Loading and unloading operations should have already begun. Therefore, at this time, the expected arrival time = unloading time + the time from the berthing port group to the loading port group.
[0208] If the ship berths at the port group north of Wenzhou Port and is fully loaded before berthing, the expected arrival time = the time it takes to travel from the berthing port group to the loading port group, because there is no return cargo.
[0209] If it is impossible to determine the empty or full status of a ship before berthing, and the ship is docked at the port group south of Wenzhou, the default empty status will be set as empty because the default expected arrival time is shorter and more target ships will be found.
[0210] If it is impossible to determine the empty or full status of a ship before berthing, and the ship is docked at the port group north of Wenzhou, the default is that the fully loaded ship has a shorter expected arrival time, so it will be assumed to be fully loaded.
[0211] When the loading port group and the ship anchoring port group happen to be the same port group;
[0212] If the loading port group and the ship anchoring port group happen to be the same port group, at this time, if the ship anchoring port is the Bohai Bay group and the Liaodong group, according to business experience, these ships have basically been loaded, so these ships are excluded.
[0213] If the port where the ship is anchored belongs to the port group south of Wenzhou Port and the ship was in a fully loaded state before anchoring, the estimated arrival time is "0" days. According to the business logic, if the ship was in a fully loaded state before anchoring and is about to berth for unloading operations, then a return voyage and return offer within the same port group are recommended for the ship at this time, with a relatively high success rate. And since it is within the same port group, the system defaults the sailing time to "0" days.
[0214] If the port where the ship is anchored belongs to the port group south of Wenzhou Port and the ship was in a light load state before anchoring, the system defaults the sailing time to "0".
[0215] If the port where the ship is anchored belongs to the port group north of Wenzhou Port and the ship was in a fully loaded state before anchoring, the estimated arrival time is "0" days.
[0216] If the port where the ship is anchored belongs to the port group north of Wenzhou Port and the ship was in a light load state before anchoring, the estimated arrival time is "0" days. Low priority
[0217] The loading port port group and the ship's anchoring port group are different port groups
[0218] If the port where the ship is anchored belongs to the port group south of Wenzhou Port and the ship was in a fully loaded state before anchoring, the estimated arrival time = unloading time + loading and unloading time + time from the anchoring port group to the loading port group. It is necessary to unload the goods first, then load and unload the return goods, and then sail to the loading port.
[0219] If the port where the ship is anchored belongs to the port group south of Wenzhou Port and the ship was in a light load state before anchoring, the estimated arrival time = loading & unloading time + time from the anchoring port group to the loading port group. It is very likely to wait for berthing to load the return goods.
[0220] If the port where the ship is anchored is in the port group north of Wenzhou Port and the ship was in a fully loaded state before anchoring, the estimated arrival time = unloading time + time from the anchoring port group to the loading port group
[0221] If the full or empty state cannot be determined, it is defaulted to empty south of Wenzhou and full north of Wenzhou.
[0222] In the case of a known destination port group;
[0223] If the loading port port group happens to be the destination port group and the ship is in a fully loaded state, then the estimated arrival time = unloading time + remaining estimated arrival time
[0224] If the loading port port group happens to be the destination port group and the ship is in a light load state, then the ship is excluded. It is very likely that it has already been fixed for loading.
[0225] If the loading port group and the destination port group are different port groups and are fully loaded, the expected arrival time = unloading time + expected arrival remaining time + time for the expected arrival port group to travel to the loading port group
[0226] If the loading port group and the destination port group are different port groups and the ship is unloaded, the ship is excluded and is likely to have been loaded.
[0227] If it is impossible to determine whether the ship is empty or full, the ship is assumed to be fully loaded.
[0228] In the case of unknown destination port group;
[0229] If the current location is in the same area as the loading port and is fully loaded, the expected arrival time = unloading time
[0230] If the current location is in the same area as the loading port and is unloaded, the vessel is excluded and is most likely already loaded.
[0231] If the current location is in a different area from the loading port and is fully loaded, the expected arrival time = unloading time + the time it takes to travel from the current area port group to the loading port group.
[0232] If the current location is in a different area from the loading port and is unloaded, the vessel is excluded as it is very likely to have been loaded.
[0233] If the current location is not in any area, the nearest area is used for judgment.
[0234] If the empty or full load state cannot be determined, the full load state is assumed by default.
Claims
1. China Coastal Dry Bulk Intelligent Ship Empty Ship Forecasting and Monitoring System, which is characterized by It is composed of a basic data layer unit (1), a business application layer unit (2), an algorithm and computing logic layer unit (3) and an application interaction layer unit (4); wherein, The basic data layer unit (1) includes current and historical AIS, GIS data, ship basic data, port basic data and berth archive data, integrates port groups, port group electronic fence data, port group navigation time and ship average operation time historical data, and provides the above data to the other three units; serving as the data basis and data source for the other three units; The business application layer unit (2) includes a bulk cargo ship loading rule model subunit, a coastal port group model subunit, a ship arrival prediction model subunit and a port operation time prediction model subunit; the business application layer unit obtains data from the basic data layer unit; Among them, the sub-unit of the bulk carrier loading rule model determines whether it is fully loaded or empty according to the full-load and empty-load rules; according to the last time the ship called at the berth, it determines whether the berth attribute is a loading berth or a unloading berth. Leaving the loading berth is fully loaded, and leaving the unloading berth is empty. If it cannot be determined, it is based on the draft difference. If the draft after calling > the draft before calling, it is fully loaded, and if the draft after calling < the draft before calling, it is empty. The coastal port group model subunit is composed of: combining ports nearby to form port groups according to port group rules, establishing the names of each port group, the names of ports included in each port group and the port codes; Definition of port cluster rules: Based on the distribution of Chinese ports, China's coastal ports are planned, grouped into port clusters, and maintained according to the port distribution status; The ship arrival prediction model subunit is composed of: establishing a port group navigation time rule to predict the ship arrival, the port group navigation time refers to the sailing time from a port in one port group to an anchorage of a port in another port group, and the port group navigation time rule refers to the sailing time between the two port groups corresponding to each port of the two port groups using the port group navigation time; The port operation time prediction model subunit is composed of: setting the definition of the average operation time of the ship, that is, including the average loading and unloading time, the average loading time and the average unloading time under different ship types, obtaining the three types of time under different ship types, that is, obtaining the port operation time prediction model subunit; The algorithm and calculation logic layer unit (3) includes three units: a ship arrival cargo capacity prediction algorithm subunit, a ship arrival time prediction algorithm subunit and a port operation time prediction algorithm subunit. The above three units are used for bulk carrier dynamic time and capacity prediction; The ship arrival cargo capacity prediction algorithm subunit is composed of: establishing a ship library range, the ship library range is defined as: all bulk carriers that have only called at Chinese ports within one year and whose flag is Chinese flag; applying full load and empty load rules to ships in the ship library range to establish a ship empty and full load judgment algorithm to obtain a bulk carrier loading rule model subunit; The ship arrival time prediction algorithm subunit is composed of: establishing a port group navigation time statistics table according to the ship arrival navigation time rule subunit as the data basis of the ship arrival prediction model subunit; The port operation time prediction algorithm subunit is composed of: the average ship operation time definition includes ship type, loading and unloading time, loading time and unloading time, and a value table of these four parameters is established according to the definition, that is, the loading and unloading time, loading time and unloading time corresponding to ship types with different deadweights; the value table is used as the calculation basis of the port operation time prediction model subunit model; The application interaction layer unit (4) is used for front-end data presentation.
2. The China Coastal Dry Bulk Intelligent Ship Empty Ship Prediction Monitoring System according to claim 1 is characterized by: The port groups in the coastal port group model subunit are: P1 Bohai Bay, P2 Liaodong, P3 Shandong, P4 Dalian Dandong, P5 Yellow Sea, P6 Shanghai, P7 Yangtze River, P8 Zhejiang, P9 Fuzhou, P10 Xiamen, P11 Shekou, P12 Guangzhou, P13 Haikou, P14 Sanya and P15 Beibu Gulf.
3. The China coastal dry bulk intelligent ship empty ship prediction and monitoring system according to claim 1 or 2 is characterized by: The port groups selected by the port group navigation time rules reflected in the port group navigation time statistics table include: P1 Bohai Bay Group, P2 Liaodong Group, P3 Shandong Group, P4 Dalian Dandong, P5 Yellow Sea Group, P6 Shanghai Group, P7 Yangtze River Group, P8 Zhejiang Group, P9 Fuzhou Group, P10 Xiamen Group, P11 Shekou Group, P12 Guangzhou Group, P13 Haikou Group, P14 Sanya Group and P15 Beibu Gulf Group.
4. The China Coastal Dry Bulk Intelligent Ship Empty Ship Forecasting Monitoring System according to claim 3 is characterized by an algorithm The ship arrival carrying capacity prediction algorithm subunit in the calculation logic layer unit (3) performs calculations through the ship empty or full load judgment algorithm; the ship arrival time prediction algorithm subunit performs calculations through the ship's sea area judgment algorithm, the northernmost port judgment algorithm, the southernmost port judgment algorithm and the Yangtze River westernmost port judgment algorithm; the port operation time prediction algorithm subunit performs calculations and processing on the data provided by the basic data layer unit (1) through the navigation status destination judgment algorithm and the expected arrival time algorithm, and rewrites the corresponding calculation results into the data center of the basic data layer unit (1).
5. The China Coastal Dry Bulk Intelligent Ship Empty Ship Prediction and Monitoring System according to claim 4 is characterized by: The establishment rule of the coastal port group model in the business model layer unit (2) is: (1) The port group is divided into north and south regions by the Wenzhou Port boundary. Vessels with a deadweight tonnage of 55,000 tons or less calling at Wenzhou Port and ports south of Wenzhou Port must carry return cargo on their return trips. The time calculation needs to include the loading and unloading operation time. Vessels with a deadweight tonnage of more than 55,000 tons do not carry return cargo; (2) Using the Nanjing port boundary as the standard for dividing the inner and outer parts of the Yangtze River; (3) The statistical port groups and destination port groups do not distinguish between north and south, that is, the ships calling at the northern port groups in these groups have the possibility of heading south to the southern port groups in the group to load cargo: ① Group 1: Bohai Bay, Liaodong, Shandong, Dalian and Dandong; ② Group 2: Shanghai, Yangtze River, Zhejiang; ③ Group 3: Wenzhou and Fuzhou; ④ Group 4: Guangdong, Guangxi, Hainan; (4) The principle of searching for ships is the principle of maximum scope, that is, if there is no definite business logic to exclude a ship, it will not be excluded, and the business personnel will conduct a secondary confirmation offline based on their business experience or by phone; (5) The product only supports statistics for a single port group, otherwise duplicate calculations will occur; (6) For the processing of navigation, anchoring and berthing status: add or subtract the remaining navigation time, including the remaining anchoring time and the remaining operation time, from the time calculation. The remaining anchoring time is the average anchoring time minus the anchored time, and the remaining operation time is the average operation time minus the berthing time; (7) Vessels that are expected to arrive at the port empty are excluded.
6. The China Coastal Dry Bulk Intelligent Ship Empty Ship Prediction and Monitoring System according to claim 5 is characterized by: The calculation rule of the estimated arrival time at the port group of the ship arrival prediction model subunit in the business application layer unit (2) is: (1) The destination port of the vessel’s voyage is the port group north of Wenzhou, and the statistical port group is located north of this port group; The estimated time for a ship to arrive at the statistical port group = the remaining sailing time of the voyage + the average anchoring time of the same type of ship at the destination port of the voyage + the average operating time of the ship + the sailing time from the destination port group of the voyage to the statistical port group; (2) If the destination port of the vessel is a port group north of Wenzhou and the statistical port group is located south of this port group, it will not be included in the calculation; (3) The vessel’s destination port is Wenzhou or the port group to the south of Wenzhou, and the statistical port group is located in the Yellow Sea port group or the port group to the north of the Yellow Sea port group; The estimated time for a ship to arrive at the statistical port group = the remaining sailing time of the voyage + the average anchoring time of the same type of ship at the destination port of the voyage + the average operation time of the ship + the loading and unloading time of the ship + the sailing time from the destination port group of the voyage to the statistical port group; (4) The destination port of the ship is Wenzhou and the port group to the south of Wenzhou, and the statistical port group is located to the south of the Yellow Sea port group, excluding the Yellow Sea port group; The estimated time for a ship to arrive at the statistical port group = the remaining sailing time of the voyage + the average anchorage time of the same type of ship at the destination port of the voyage + the average operating time of the ship + the sailing time from the destination port group of the voyage to the statistical port group.
7. The China Coastal Dry Bulk Intelligent Ship Empty Ship Prediction and Monitoring System according to claim 6 is characterized by: The empty ship rule of the bulk cargo ship loading rule model subunit in the business application layer unit (2) is: (1) Anchored at loading port: The next port of destination is unknown, so such ships are excluded and listed as available ships; (2) Anchoring at the unloading port: The priority is highest for ships anchoring at the unloading port; (3) Calculation method for the estimated arrival time of the ship at the statistical port group: The calculation method for the northern port group is: the sailing time from the destination port group of the voyage to the statistical port group, and the northern port group refers to the anchorage port group and the port group north of Wenzhou; The calculation method for the southern port group is: the sailing time from the destination port group of this voyage to the statistical port group plus the loading and unloading time of the ship. The southern port circle is the anchorage port group, which is the port group south of Wenzhou.
8. The China Coastal Dry Bulk Intelligent Ship Empty Ship Prediction and Monitoring System according to claim 7 is characterized by: The ship measurement rules of the coastal port group model subunit in the business application layer unit (2) are: (1) When the loading port group and the ship berthing port group are the same port group: ① If the loading port group and the ship berthing port group are the same port group, if the ship berths in the Bohai Bay Group and Liaodong Group, these ships will be excluded; ② If the ship's berthing port belongs to the port group south of Wenzhou Port, and it is fully loaded before berthing, and the expected arrival time is "0" days, according to the business logic, the ship is fully loaded before berthing, and berthing is for unloading operations. In this case, the ship is recommended to have a return cargo pallet in the same port group, and because it is in the same port group, the system defaults to a sailing time of "0" days; ③ If the port where the ship berths belongs to the port group south of Wenzhou Port and is empty before berthing, the ship will be excluded; ④ If the ship's berthing port belongs to the port group north of Wenzhou Port and is fully loaded before berthing, the expected arrival time is "0" days; (2) When the loading port group and the ship berthing port group are different port groups: ① If the ship berths at the port group south of Wenzhou Port and is fully loaded before berthing, the estimated arrival time is the loading and unloading time plus the time from the berthing port group to the loading port group, including the loading and unloading time of the return cargo; ② If the ship berths at a port group south of Wenzhou Port and is unloaded before berthing, the estimated arrival time is the unloading time plus the time from the berthing port group to the loading port group; ③ If the ship berths at the port group north of Wenzhou Port and is fully loaded before berthing, the estimated arrival time is the time it takes to travel from the berthing port group to the loading port group; ④ If it is impossible to determine whether the ship is empty or full before berthing, and the ship is calling at the port group south of Wenzhou, it will be assumed to be empty at this time; ⑤ If it is impossible to determine whether the ship is empty or full before berthing, and the ship is docked at the port group north of Wenzhou, it will be assumed to be fully loaded; (3) When the loading port group and the ship anchoring port group are the same port group: ① If the loading port group and the ship anchoring port group are the same port group, if the ship anchoring port is the Bohai Bay Group and Liaodong Group, these ships will be excluded; ② If the ship's anchoring port belongs to the port group south of Wenzhou Port and is fully loaded before anchoring, the expected arrival time is "0" day; if the ship is fully loaded before anchoring, it is recommended that the ship return to the same port group at this time, and the system defaults to a sailing time of "0" day; ③ If the ship's anchoring port belongs to the port group south of Wenzhou Port and is unloaded before anchoring, the system defaults the sailing time to "0"; ④ If the ship's anchorage port belongs to the port group north of Wenzhou Port and is fully loaded before anchoring, the expected arrival time is "0" days; ⑤ If the ship's anchoring port belongs to the port group north of Wenzhou Port and is unloaded before anchoring, the expected arrival time is "0" days; (4) The loading port group and the ship anchoring port group are different port groups: ① If the ship's anchoring port belongs to the port group south of Wenzhou Port and is fully loaded before anchoring, the estimated arrival time is the unloading time plus the loading and unloading time plus the time of sailing from the anchoring port group to the loading port group. It is necessary to unload first, then load the return cargo, and then sail to the loading port; ② If the ship's anchoring port belongs to the port group south of Wenzhou Port and is unloaded before anchoring, the estimated arrival time is the loading and unloading time plus the time for traveling from the anchoring port group to the loading port group; ③ If the ship's anchoring port is a port group north of Wenzhou Port and is fully loaded before anchoring, the estimated arrival time is the unloading time plus the time for traveling from the anchoring port group to the loading port group; ④ If the empty or full status cannot be determined, the area south of Wenzhou is assumed to be empty by default, and the area north of Wenzhou is assumed to be fully loaded by default; (5) When the destination port group is known: ① If the loading port group is the destination port group and is fully loaded, the expected arrival time is the unloading time plus the expected arrival remaining time; ② If the loading port group is the destination port group and is empty, the ship will be excluded; ③ If the loading port group and the destination port group are different port groups and are fully loaded, the expected arrival time is the unloading time plus the remaining expected arrival time plus the time for the expected arrival port group to travel to the loading port group; ④ If the loading port group and the destination port group are different port groups and the ship is unloaded, the ship will be excluded; ⑤ If it is impossible to determine whether the ship is empty or full, the ship is assumed to be fully loaded; In case of unknown destination port: ① If the current location is in the same area as the loading port and is fully loaded, the estimated arrival time is the unloading time; ② If the current location is in the same area as the loading port and is empty, the vessel is excluded; ③ If the current location is in a different area from the loading port and is fully loaded, the estimated arrival time is the unloading time plus the time it takes to travel from the current port group to the loading port group; ④ If the current location is different from the loading port and is empty, the vessel will be excluded; ⑤If the current location is not in any area, the area closest to the current location is used for judgment; ⑥If the empty or full load state cannot be determined, the full load state will be assumed by default.
9. The China Coastal Dry Bulk Intelligent Ship Empty Ship Prediction and Monitoring System according to claim 8 is characterized by: The front-end data display of the application interaction layer unit (4) has three modes: map display, query service, and chart display; wherein the map display shows the distribution of each port group and the change of the port ship operation time, so as to reflect the business busyness and operation efficiency of the port group; the chart display mode displays the time prediction chart of the bulk cargo ship arriving at the port group, so as to quantitatively and graphically reflect the change trend of the available ships in the port group; the query service mode uses specific quantitative data to provide a search service for finding the available ships in a specific port group within the expected time range.
10. The China Coastal Dry Bulk Intelligent Ship Empty Ship Prediction and Monitoring System according to claim 1 is characterized by: The port group name, ports included in the port group and port codes in the port group definition in the coastal port group subunit in the business application layer unit (2) are specifically: (1) P1 Bohai Bay Group, including ports and codes: Tianjin CNTJN, Qinhuangdao CNQHD, Huanghua CNHUA, Jingtang CNJIT, Caofeidian CNCFD; (2) P2 Liaodong Group, including ports and codes: Huludao CNHLD, Panjin CNPAN, Bayuquan CNBYQ, Jinzhou CNJIN, Yingkou CNYIN, Suizhong CNSIZ; (3) P3 Shandong group, including ports and codes: Binzhou CNBNZ, Dongying CNDYI, Weifang CNWEF, Longkou CNLKU, Yantai CNYAN, Weihai CNWEI; (4) P4 Dalian-Dandong group, including ports and codes: Dalian CNDAL, Dandong CNDDG; (5) P5 Yellow Sea Group, including ports and codes: Qingdao CNQIN, Rizhao CNRIZ, Lianyungang CNLYG, Dongjiakou CNDJK, Binhai CNBHX, Yangkou CNYKO, Dafeng CNDAF; (6) P6 Shanghai Group, including ports and codes: Shanghai CNSHA, Jiaxing CNJIX, Ningbo CNNBO, Zhoushan CNZOS, Nantong CNNTG, Taicang CNTAI; (7) P7 Yangtze River Group, including ports and codes: Jiangyin CNJIA, Zhangjiagang CNZJG, Zhenjiang CNZHE, Taizhou CNTAZ, Changzhou CNCHZ, Nanjing CNNNG; (8) P8 Zhejiang group, including ports and codes: Taizhou CNTZH, Wenzhou CNWEN; (9) P9 Fuzhou group, including ports and codes: Ningde CNNDE, Putian CNMEZ, Fuzhou CNFUZ, Meizhou Bay CNMEZ; (10) P10 Xiamen group, including ports and codes: Xiamen CNXIA, Quanzhou CNQUA, Zhangzhou CNZZU, Chaozhou CNCZH, Jieyang CNJYG, Shantou CNSTO; (11) P11 Shekou Group, including ports and codes: Shanwei CNSWE, Huizhou CNHUI, Shenzhen CNSHZ; (12) P12 Guangzhou group, including ports and codes: Dongguan CNDNG, Guangzhou CNGUA, Yangjiang CNYJG, Zhuhai CNZHH; (13) P13 Haikou group, including ports and codes: Zhanjiang CNZHA, Haikou CNHKO; (14) P14 Sanya group includes ports and codes: Yangpu CNYPG, Basuo CNBAS, Sanya CNSYA; (15) P15 Beibu Gulf Group; including ports and their codes: Qinzhou CNQIZ, Fangchenggang CNFAN, Beihai CNBHI.
11. The China Coastal Dry Bulk Intelligent Ship Empty Ship Prediction and Monitoring System according to claim 1 is characterized by: The navigation time between each port group in the navigation time statistics table between port groups in the algorithm and calculation logic layer unit (3) of the ship arrival time prediction algorithm subunit is defined as: (1) The sailing days of P1 Bohai Bay Group and P1 Bohai Bay Group, P2 Liaodong Group, P3 Shandong Group, P4 Dalian-Dandong Group, P5 Yellow Sea Group, P6 Shanghai Group, P7 Yangtze River Group, P8 Zhejiang Group, P9 Fuzhou Group, P10 Xiamen Group, P11 Shekou Group, P12 Guangzhou Group, P13 Haikou Group, P14 Sanya Group and P15 Beibu Gulf Group are: 0, 1, 1, 1, 2, 3, 3.5, 3.5, 4.3, 4.8, 5.8, 6, 7, 7.5 and 7.5; (2) The sailing days of P2 Liaodong Group and P1 Bohai Bay Group, P2 Liaodong Group, P3 Shandong Group, P4 Dalian-Dandong Group, P5 Yellow Sea Group, P6 Shanghai Group, P7 Yangtze River Group, P8 Zhejiang Group, P9 Fuzhou Group, P10 Xiamen Group, P11 Shekou Group, P12 Guangzhou Group, P13 Haikou Group, P14 Sanya Group and P15 Beibu Gulf Group are: 1, 0, 1, 0.5, 2, 3, 3.5, 3.5, 4.3, 4.8, 5.8, 6, 7, 7.5 and 7.5; (3) The sailing days of P3 Shandong Group, P1 Bohai Bay Group, P2 Liaodong Group, P3 Shandong Group, P4 Dalian-Dandong Group, P5 Yellow Sea Group, P6 Shanghai Group, P7 Yangtze River Group, P8 Zhejiang Group, P9 Fuzhou Group, P10 Xiamen Group, P11 Shekou Group, P12 Guangzhou Group, P13 Haikou Group, P14 Sanya Group and P15 Beibu Gulf Group are: 1, 1, 0, 0.5, 1, 2, 2.5, 2.5, 3.8, 4.3, 4.8, 5, 6, 6.5 and 6.5; (4) The sailing days of P4 Dalian-Dandong Group, P1 Bohai Bay Group, P2 Liaodong Group, P3 Shandong Group, P4 Dalian-Dandong Group, P5 Yellow Sea Group, P6 Shanghai Group, P7 Yangtze River Group, P8 Zhejiang Group, P9 Fuzhou Group, P10 Xiamen Group, P11 Shekou Group, P12 Guangzhou Group, P13 Haikou Group, P14 Sanya Group and P15 Beibu Gulf Group are: 1, 0.5, 0.5, 0, 1, 2, 2.5, 2.5, 3.8, 4.3, 4.8, 5, 6, 6.5 and 6.5; (5) The sailing days of P5 Yellow Sea Group, P1 Bohai Bay Group, P2 Liaodong Group, P3 Shandong Group, P4 Dalian-Dandong Group, P5 Yellow Sea Group, P6 Shanghai Group, P7 Yangtze River Group, P8 Zhejiang Group, P9 Fuzhou Group, P10 Xiamen Group, P11 Shekou Group, P12 Guangzhou Group, P13 Haikou Group, P14 Sanya Group and P15 Beibu Gulf Group are: 2, 2, 1, 1, 0, 2, 2.5, 2.5, 3, 3.5, 4.5, 5, 6, 6.5 and 6.5; (6) The sailing days of P6 Shanghai Group, P1 Bohai Bay Group, P2 Liaodong Group, P3 Shandong Group, P4 Dalian-Dandong Group, P5 Yellow Sea Group, P6 Shanghai Group, P7 Yangtze River Group, P8 Zhejiang Group, P9 Fuzhou Group, P10 Xiamen Group, P11 Shekou Group, P12 Guangzhou Group, P13 Haikou Group, P14 Sanya Group and P15 Beibu Gulf Group are: 3, 3, 2, 2, 2, 0, 1, 1, 2, 2.5, 3, 3.5, 4.5, 5 and 5; (7) The sailing days of P7 Yangtze River Group, P1 Bohai Bay Group, P2 Liaodong Group, P3 Shandong Group, P4 Dalian-Dandong Group, P5 Yellow Sea Group, P6 Shanghai Group, P7 Yangtze River Group, P8 Zhejiang Group, P9 Fuzhou Group, P10 Xiamen Group, P11 Shekou Group, P12 Guangzhou Group, P13 Haikou Group, P14 Sanya Group and P15 Beibu Gulf Group are: 3.5, 3.5, 2.5, 2.5, 2.5, 1, 0, 2, 3, 3.5, 4, 4.5, 5, 5.5 and 5.5; (8) The sailing days of P8 Zhejiang Group, P1 Bohai Bay Group, P2 Liaodong Group, P3 Shandong Group, P4 Dalian-Dandong Group, P5 Yellow Sea Group, P6 Shanghai Group, P7 Yangtze River Group, P8 Zhejiang Group, P9 Fuzhou Group, P10 Xiamen Group, P11 Shekou Group, P12 Guangzhou Group, P13 Haikou Group, P14 Sanya Group and P15 Beibu Gulf Group are: 3.5, 3.5, 2.5, 2.5, 2.5, 1, 2, 0, 1, 1.5, 2.5, 3, 4, 4.5 and 4.5; (9) The sailing days of P9 Fuzhou Group, P1 Bohai Bay Group, P2 Liaodong Group, P3 Shandong Group, P4 Dalian-Dandong Group, P5 Yellow Sea Group, P6 Shanghai Group, P7 Yangtze River Group, P8 Zhejiang Group, P9 Fuzhou Group, P10 Xiamen Group, P11 Shekou Group, P12 Guangzhou Group, P13 Haikou Group, P14 Sanya Group and P15 Beibu Gulf Group are: 4.3, 4.3, 3.8, 3.8, 3, 2, 3, 1, 0, 0.5, 1.7, 2, 3, 3.5 and 3.5; (10) The sailing days of P10 Xiamen Group, P1 Bohai Bay Group, P2 Liaodong Group, P3 Shandong Group, P4 Dalian-Dandong Group, P5 Yellow Sea Group, P6 Shanghai Group, P7 Yangtze River Group, P8 Zhejiang Group, P9 Fuzhou Group, P10 Xiamen Group, P11 Shekou Group, P12 Guangzhou Group, P13 Haikou Group, P14 Sanya Group and P15 Beibu Gulf Group are: 4.8, 4.8, 4.3, 4.3, 3.5, 2.5, 3.5, 1.5, 1, 0, 1, 1.5, 2.5, 3 and 3; (11) The sailing days of P11 Shekou Group, P1 Bohai Bay Group, P2 Liaodong Group, P3 Shandong Group, P4 Dalian-Dandong Group, P5 Yellow Sea Group, P6 Shanghai Group, P7 Yangtze River Group, P8 Zhejiang Group, P9 Fuzhou Group, P10 Xiamen Group, P11 Shekou Group, P12 Guangzhou Group, P13 Haikou Group, P14 Sanya Group and P15 Beibu Gulf Group are: 5.8, 5.8, 4.8, 4.8, 4.5, 3, 4, 2.5, 1.7, 1, 0, 0.5, 1, 1.5 and 1.5; (12) The sailing days of P12 Guangzhou Group, P1 Bohai Bay Group, P2 Liaodong Group, P3 Shandong Group, P4 Dalian-Dandong Group, P5 Yellow Sea Group, P6 Shanghai Group, P7 Yangtze River Group, P8 Zhejiang Group, P9 Fuzhou Group, P10 Xiamen Group, P11 Shekou Group, P12 Guangzhou Group, P13 Haikou Group, P14 Sanya Group and P15 Beibu Gulf Group are: 6, 6, 5, 5, 5, 3.5, 3.5, 3, 2, 1.5, 0.5, 0, 1, 1.5 and 1.5; (13) The sailing days of P13 Haikou Group, P1 Bohai Bay Group, P2 Liaodong Group, P3 Shandong Group, P4 Dalian-Dandong Group, P5 Yellow Sea Group, P6 Shanghai Group, P7 Yangtze River Group, P8 Zhejiang Group, P9 Fuzhou Group, P10 Xiamen Group, P11 Shekou Group, P12 Guangzhou Group, P13 Haikou Group, P14 Sanya Group and P15 Beibu Gulf Group are: 7, 7, 6, 6, 6, 4.5, 5, 4, 3, 2.5, 1, 1, 0, 0.8 and 0.8; (14) The number of sailing days between P13 Sanya Group and P1 Bohai Bay, P2 Liaodong Group, P3 Shandong Group, P4 Dalian-Dandong Group, P5 Yellow Sea Group, P6 Shanghai Group, P7 Yangtze River Group, P8 Zhejiang Group, P9 Fuzhou Group, P10 Xiamen Group, P11 Shekou Group, P12 Guangzhou Group, P13 Haikou Group, P14 Sanya Group and P15 Beibu Gulf Group is: 7.5, 7.5, 6.5, 6.5, 6.5, 5, 5.5, 4.5, 3.5, 3, 1.5, 1.5, 0.8, 0 and 1; (15) The sailing time of P15 Beibu Gulf Group, P1 Bohai Bay, P2 Liaodong Group, P3 Shandong Group, P4 Dalian-Dandong Group, P5 Yellow Sea Group, P6 Shanghai Group, P7 Yangtze River Group, P8 Zhejiang Group, P9 Fuzhou Group, P10 Xiamen Group, P11 Shekou Group, P12 Guangzhou Group, P13 Haikou Group, P14 Sanya Group and P15 Beibu Gulf Group is: 7.5, 7.5, 6.5, 6.5, 6.5, 5, 5.5, 4.5, 3.5, 3, 1.5, 1.5, 0.8, 1 and 0.
12. The China Coastal Dry Bulk Intelligent Ship Empty Ship Prediction and Monitoring System according to claim 1 is characterized by: The port operation time prediction model subunit of the algorithm and calculation logic layer unit (3) calculates the loading and unloading time of ships above 40,000 tons as follows: the average loading and unloading time is 7 hours, the average loading time is 3.5 hours, and the average unloading time is 3.5 hours.