WO2022105296A1 - 基于区块链的驳船靠泊方法、装置及存储介质 - Google Patents

基于区块链的驳船靠泊方法、装置及存储介质 Download PDF

Info

Publication number
WO2022105296A1
WO2022105296A1 PCT/CN2021/109256 CN2021109256W WO2022105296A1 WO 2022105296 A1 WO2022105296 A1 WO 2022105296A1 CN 2021109256 W CN2021109256 W CN 2021109256W WO 2022105296 A1 WO2022105296 A1 WO 2022105296A1
Authority
WO
WIPO (PCT)
Prior art keywords
barge
berthing
target
sailing
navigation data
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/CN2021/109256
Other languages
English (en)
French (fr)
Inventor
王梦寒
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
OneConnect Smart Technology Co Ltd
Original Assignee
OneConnect Smart Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by OneConnect Smart Technology Co Ltd filed Critical OneConnect Smart Technology Co Ltd
Publication of WO2022105296A1 publication Critical patent/WO2022105296A1/zh
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/10—Office automation; Time management
    • G06Q10/109—Time management, e.g. calendars, reminders, meetings or time accounting
    • G06Q10/1093—Calendar-based scheduling for persons or groups
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/23—Updating
    • G06F16/2358—Change logging, detection, and notification
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/27—Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/60—Protecting data
    • G06F21/64—Protecting data integrity, e.g. using checksums, certificates or signatures
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/40—Business processes related to the transportation industry

Definitions

  • the present application relates to the field of blockchain technology, and in particular to a method, device and storage medium for barge berthing based on blockchain.
  • a port terminal Under the combined port business model, many inland goods need to be transported to the port terminal by barge, and the container is unloaded from the barge, loaded onto a large ship, and finally leaves the country. Therefore, a port terminal usually brings together barges from multiple inland terminals for berthing. At the same time, a large number of liner ships need to be berthed at the port terminal, so the berth of the port terminal is a very tight bottleneck resource.
  • the inventor realized that since the barge will note the estimated time of arrival at the port terminal in the travel plan, but the actual time of arrival at the port terminal is full of uncertainty, which may be due to changes in the operation time of the previous berthing terminal or the customs at each terminal.
  • the possible regulatory requirements of the nodes lead to a huge difference between the actual arrival time and the expected arrival time, which leads to more congestion in the port terminal, which is already a bottleneck resource, which is not conducive to the development of terminal business.
  • the embodiments of the present application provide a method, device and storage medium for barge berthing based on blockchain, which are beneficial to improve the business turnover rate of the entire terminal system.
  • a first aspect of the embodiments of the present application provides a blockchain-based barge berthing method, which is applied to a server, and includes: acquiring a berthing plan for each barge berthing target dock in a plurality of barges from a blockchain network, Obtain a plurality of berthing plans; obtain target navigation data corresponding to each barge, and obtain a plurality of target navigation data, wherein the plurality of target navigation data are obtained according to a preset model; according to the plurality of berthing plans and the A berthing schedule of the target wharf is determined based on a plurality of target sailing data; the multiple barges are scheduled according to the berthing schedule schedule.
  • a second aspect of the embodiments of the present application provides a block chain-based barge berthing device, which is applied to a server, and the device includes: an acquisition unit, a determination unit, and a scheduling unit, wherein the acquisition unit is used for obtaining data from In the block chain network, the berthing plan of each barge berthing at the target wharf among the multiple barges is obtained, and multiple berthing plans are obtained; the obtaining unit is also used to obtain the target navigation data corresponding to each barge, and obtain multiple berthing plans.
  • the determining unit is configured to determine the berthing of the target terminal according to the multiple berthing plans and the multiple target sailing data A berthing schedule schedule; the schedule unit is configured to schedule the plurality of barges according to the berthing schedule schedule.
  • a fourth aspect of the embodiments of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program for electronic data exchange, wherein the computer program causes a computer to execute the following method: In the chain network, the berthing plan of each barge berthing at the target terminal is obtained, and multiple berthing plans are obtained; the target navigation data corresponding to each barge is obtained, and a plurality of target navigation data are obtained, wherein the multiple The target navigation data is obtained according to the preset model; according to the multiple berthing plans and the multiple target navigation data, the berthing schedule of the target terminal is determined; according to the berthing schedule schedule, the The plurality of barges are scheduled.
  • Implementing the embodiment of the present application can realize the safe sharing of information through the blockchain network, and combined with the preset model, realize the prediction of the target navigation data such as the estimated time of arrival of the barge, and through the real-time update method, is conducive to more accurate navigation data. Scheduling the berthing of each barge is conducive to improving the business turnover rate of the entire terminal system.
  • FIG. 1A provides a schematic structural diagram of a blockchain-based barge berthing system according to an embodiment of the present application.
  • FIG. 1B provides a schematic flowchart of a blockchain-based barge berthing method according to an embodiment of the present application.
  • FIG. 2 provides a schematic flowchart of a block chain-based barge berthing method according to an embodiment of the present application.
  • FIG. 3 provides a schematic flowchart of a block chain-based barge berthing method according to an embodiment of the present application.
  • FIG. 4 provides a schematic structural diagram of a server according to an embodiment of the present application.
  • FIG. 5 provides a schematic structural diagram of a block chain-based barge berthing device according to an embodiment of the present application.
  • the technical solution of the present application may relate to the field of artificial intelligence technology, and relevant data may be acquired and processed based on the artificial intelligence technology, thereby promoting the construction of a smart city.
  • the servers mentioned in the embodiments of this application may include but are not limited to background servers, component servers, cloud servers, blockchain-based barge berthing system servers or blockchain-based barge berthing software servers, etc.
  • the server may It provides cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, Content Delivery Network (CDN), as well as big data and artificial intelligence Cloud servers for basic cloud computing services such as platforms.
  • CDN Content Delivery Network
  • FIG. 1A is a schematic diagram of the architecture of a blockchain-based barge berthing system provided by an embodiment of the present application, which is applied to a server.
  • the above server may include a combined port customs clearance system, which can be used to manage various departure and entry businesses of the port, so as to help each port better realize the scheduling of resources and realize the business integration of the entire combined port.
  • the combined port customs clearance system may include multiple participants, which may include: inland terminals, port terminals, local customs, barge companies, etc., which are not limited here.
  • Figure 1A it is a schematic diagram of the architecture of a barge berthing system based on blockchain, which may include a combined port customs clearance system and a blockchain network; as shown in the figure, the above-mentioned combined port customs clearance system may include: wharf, customs, barge A and barge B, etc., are not limited here; the barge A and barge B may be from the same barge company or different barge companies.
  • each participant in the above-mentioned combined port customs clearance system can join the blockchain network as a node.
  • each participant can complete their own enterprise real-name authentication and obtain certificate information, which may include electronic Signature and other information, the digital signature can refer to a unique value, and its identity can be confirmed through the digital signature to increase information security; each participant can upload their data to the blockchain network, or from this area Obtain the information of other participants in the blockchain network.
  • the system may further include a preset model, and the preset model may be set by the user or defaulted by the system, which is not limited herein.
  • the navigation data of each barge can be predicted through the preset model. For example, the navigation speed, supervision time, supervision probability, time required for one berthing, estimated arrival time, etc. corresponding to each barge can be obtained through the preset model. , which is not limited here.
  • a platform can be provided for the entire combined port system through the blockchain network, and each participant can upload their own status and barge plan to the blockchain, and based on the blockchain
  • the characteristics of non-tampering and consensus trust mechanism realize the sharing characteristics of information; at the same time, in the embodiment of the present application, the above-mentioned combined port system also includes a preset model, through which the target navigation data ( navigation speed, supervision time, supervision probability, time required for one berthing, estimated time of arrival, etc., which are not limited here), and update them in real time, which is conducive to more accurate scheduling of berthing of each barge. It is beneficial to improve the business turnover rate of the entire terminal system.
  • FIG. 1B is a schematic flowchart of a method for berthing a barge based on a blockchain provided by an embodiment of the present application, which is applied to a server, and the above method includes the following steps.
  • the embodiments of the present application can be applied to a server, and the server can include a combined port customs clearance system; the combined port customs clearance system can include at least one of the following: a terminal system, a blockchain network, and multiple barges, etc., which are not described here. Restriction:
  • the above-mentioned target wharf may refer to the wharf where the above-mentioned multiple barges need to be berthed for loading and unloading, and each wharf can berth multiple barges from different directions.
  • the above-mentioned combined port customs clearance system can include participants such as terminals, local customs, barge companies, etc., and each participant can join the above-mentioned blockchain network as a blockchain node.
  • Blockchain is a new application mode of computer technology such as distributed data storage, point-to-point transmission, consensus mechanism, and encryption algorithm.
  • Blockchain essentially a decentralized database, is a series of data blocks associated with cryptographic methods. Each data block contains a batch of network transaction information to verify its Validity of information (anti-counterfeiting) and generation of the next block.
  • the blockchain can include the underlying platform of the blockchain, the platform product service layer, and the application service layer.
  • the following step may be further included: obtaining the berthing plan of the plurality of barges.
  • the historical barge navigation data of each barge is obtained, and a plurality of historical barge navigation data are obtained; the plurality of historical barge navigation data are input into the preset model to obtain the target navigation data corresponding to each barge, and the plurality of historical barge navigation data are obtained.
  • target voyage data upload the multiple target voyage data to the blockchain network; determine the berthing plan of each barge according to the multiple target voyage data, and obtain the multiple berthing plans ; update the plurality of berthing plans into the blockchain network.
  • the above-mentioned historical barge navigation data may include at least one of the following: historical barge navigation trajectories, historical customs supervision, historical loading and unloading data, historical time required for berthing, etc., which are not limited here.
  • this historical barge voyage data can also be stored on the blockchain.
  • each barge may correspond to historical barge navigation data
  • the server may include the above-mentioned preset model, the preset model may be set by the user or the system defaults, and the preset model may be a convolutional network model, etc.;
  • the historical barge data is input into the preset model to obtain the target navigation data corresponding to each barge.
  • the historical barge navigation data with a time span of more than one year, three years or other preset years can be selected.
  • the above-mentioned target navigation data may include at least one of the following: sailing speed, supervision time, supervision probability, time required for one berthing, etc., which are not limited here; wherein, the above-mentioned supervision probability may refer to the time when the barge is sailing. The probability of being supervised by the customs. The supervision is generally carried out in the form of sampling. Whether the barge is supervised or not directly affects the estimated arrival time of its berthing terminal.
  • the historical loading and unloading ship data corresponding to each barge can also be obtained, and the relationship between the time required for each barge to load and unload containers at each terminal and the container loading and unloading volume can be obtained through the above preset model.
  • the target navigation data corresponding to each barge can be uploaded to the blockchain network.
  • the above target navigation data reflects the navigation data corresponding to each actual navigation situation of each barge during the navigation process. Therefore, the berthing plan corresponding to each barge can be estimated through the target navigation data, so as to obtain multiple berthing plan, and update the above multiple berthing plans to the blockchain network.
  • the historical barge navigation data includes: historical barge navigation trajectories and historical loading and unloading ship data corresponding to the historical barge navigation trajectories; if the target navigation data includes multiple navigation speeds; the following steps may also be included: according to For the historical barge navigation track, determine the position information and sailing time corresponding to the barge A in the plurality of barges, and the barge A is any barge in the plurality of barges; The position information and the sailing time are input into the preset model to obtain the corresponding sailing speeds of the barge A under different load conditions, and the plurality of sailing speeds are obtained.
  • the above-mentioned historical barge navigation data may include at least one of the following: historical barge navigation trajectories, historical customs supervision, historical loading and unloading data, historical time required for berthing, etc., which are not limited here.
  • the above-mentioned barge A is any one of a plurality of barges, and the sailing speed corresponding to each barge can be determined by a preset model.
  • each of the above-mentioned historical barge trajectories may correspond to historical data of loading and unloading ships
  • the above-mentioned historical ship trajectories may be a curve or a mapping table
  • the curve or mapping table can reflect the mapping relationship between the time of the barge and the berthing position information , after each voyage, there may be corresponding loading and unloading ship data.
  • the loading and unloading ship data may include at least one of the following: load condition, writing method, receiving terminal, departure terminal, loading and unloading time, cargo type, etc., which are not limited here.
  • the sailing time corresponding to the different sailing positions of the barge A can be determined based on the sailing trajectory of each historical barge, and the above-mentioned historical loading and unloading data, position information, and sailing time can be input into the above-mentioned preset model, and the preset model can be used to determine the sailing time of the barge A.
  • the preset model can be used to determine the sailing time of the barge A.
  • determine the relevant sailing time and load status of the barge A corresponding to different positions and then further obtain the corresponding sailing of the above-mentioned barge A under different load conditions. speed, and then multiple sailing speeds can be obtained, and each sailing speed can correspond to a load condition.
  • the target navigation data corresponding to each barge can be obtained through the above preset model, and the above target navigation data can include at least one of the following: navigation speed, supervision time, supervision probability, time required for one berthing, etc. limited.
  • the above supervision probability may refer to the probability that the barge is required to be supervised by the customs during the voyage.
  • the supervision is generally carried out in the form of sampling. Whether the barge is supervised or not directly affects the expected arrival at the berthing terminal. time.
  • the above-mentioned multiple target navigation data can be stored in the above-mentioned blockchain network.
  • the above-mentioned berthing plan may include the berthing time of each barge at different wharfs, the berthing port, the data of loading and unloading ships corresponding to the wharf, etc., which are not limited here.
  • the above-mentioned berthing schedule table may include the estimated arrival time, estimated departure time, berthing time, berth number of the berthing wharf, etc. of each barge, which are not limited here.
  • the above-mentioned determination of the berthing schedule of the target terminal according to multiple berthing plans and multiple target navigation data may include the following steps: according to multiple berthing plans and multiple target navigation data.
  • the multiple supervision probabilities and supervision times included in the target navigation data determine the estimated arrival time of each barge to the above-mentioned target wharf, and obtain multiple estimated arrival times; obtain the berth status of the target wharf;
  • a berthing plan update the operation progress of each barge to the preset list, and generate the above berthing schedule.
  • the above preset list may be set by the user or the system defaults, which is not limited here; the preset list may include multiple lists, which may include at least one of the following: waiting for berthing list, berthing list, leaving list Job listings, ship loading and unloading job listings, etc., which are not limited here.
  • the above estimated time of arrival may refer to the time point or moment when the barge is expected to reach the target dock; each barge may correspond to an estimated time of arrival.
  • the above-mentioned supervision probability and supervision time can be obtained by a preset model according to historical supervision information.
  • the historical supervision information may include the information that the barge is required to be supervised by the customs, and may specifically include at least one of the following: historical supervision probability, historical supervision time, historical supervision Regulatory locations, historical regulatory docks, historical regulatory routes, etc., are not limited here.
  • the above-mentioned berth status may include at least one of the following: operation time, berth utilization rate, total berth length, number of berths, berth fee, etc., which are not limited here.
  • determining the berthing plan of each barge according to the plurality of target navigation data, and obtaining the plurality of berthing plans may include the following steps: according to the corresponding barge A the target sailing data of the barge A, determine the multiple sailing speeds, destinations and preset sailing routes of the barge A under different load conditions; synchronize at least one first navigation route that is the same as the destination from the blockchain network a barge, and determine the first sailing route corresponding to each first barge to obtain at least one first sailing route; determine the at least one first sailing route, the plurality of sailing speeds and the preset sailing route according to the at least one first sailing route The berthing plan of the barge A.
  • each barge after each barge has determined the berthing plan, it can upload the berthing plan to the blockchain network, and each barge, wharf or logistics operation platform and other participants can download the berthing plan from the blockchain
  • the berthing plan or other information related to its own business is obtained from the network; therefore, each barge can synchronize the information of at least one first barge associated with its berthing plan from the blockchain network, so as to avoid caused by the same route the occurrence of barge collisions, etc.
  • the above preset sailing route can be set by the barge itself or by default by the system, which is not limited here; the corresponding sailing speed of the barge A under different load conditions can be determined from the target sailing data, and each load condition can correspond to a sailing speed, which can be determined The corresponding sailing speed under the current load condition; further, the destination of the current barge A can be determined through the target sailing data, and the destination can refer to the target dock, or multiple locations passed during the sailing process, etc.; and its corresponding Preset sailing route; the preset sailing route may include the sailing path of the barge A, the places it passes through, the estimated sailing time, and the like.
  • the location where the barge A and the first barge pass before reaching the target dock overlap it can also be determined as the first barge corresponds to the same destination as barge A; then, at least one first voyage route corresponding to the above at least one first barge can be determined from the blockchain network, and each first barge can correspond to a first voyage route; and then , according to the preset navigation route of barge A and at least one first navigation route, to obtain the same destination of barge A and any first navigation route, and the corresponding navigation speed, and based on multiple navigation speeds , to adjust and update the berthing plan of the barge A to avoid other first barges, to avoid appearing on the same navigation section at the same time period, to avoid collision or congestion, etc., which is conducive to maintaining the green passage of the entire route.
  • the method before synchronizing the at least one first barge that is the same as the destination from the blockchain network, the method further includes: acquiring certificate information of the barge A; verifying the certificate information; If the certificate information is successfully verified, the step of synchronizing at least one first barge that is the same as the destination from the blockchain network is performed.
  • the barge A before synchronizing the information of at least one first barge from the blockchain, the barge A can be verified to determine whether it has the right to obtain the above-mentioned information.
  • the verifying the certificate information includes: determining the identification information corresponding to the barge A; determining the corresponding identification information according to the identification information Pre-store the public key; match the preset public key with the public key; if the matching is successful, verify the signature information; if the signature information is successfully verified, it is determined that the certificate information is successfully verified.
  • each barge may correspond to a piece of identification information
  • the identification information may be associated with its certificate information and stored in the blockchain network
  • the identification information may be the barge name of the barge A or other characters, which are not limited here.
  • the above-mentioned pre-stored public key can be set by the user or the system defaults, which is not limited here; the mapping relationship between the public key and the identification information can be preset in advance, and then the identification of the barge A can be determined according to the preset relationship The default public key corresponding to the information.
  • the preset public key can be matched with the public key stored in the blockchain. If the matching is successful, the signature information corresponding to the public key is continued to be verified. If the signature information is successfully verified, it is determined that the certificate information is authenticated Passed, indicating that the identity information of the barge A has been verified, and information such as navigation routes corresponding to other barges can be obtained.
  • the following steps may be further included: after the barge A leaves the target terminal, obtain the information of the loading operation and the unloading operation corresponding to each container of the target terminal; Loading information of each barge; input the loading information, berthing plan, the loading operation information and the unloading operation information into the preset model to obtain the expected arrival of the target of each barge in the remaining barges time; update the berthing schedule of the remaining barges according to the target estimated time of arrival.
  • the above loading information may refer to the operation information of each barge loading cargo after berthing; the above remaining barges may refer to the barges that have not yet been berthed.
  • the above-mentioned information on loading and unloading operations may refer to the information about the loading or unloading of cargo by barge A at the target wharf, such as the weight of the loaded/unloaded cargo, the destination of the cargo, the weight of the ship, the remaining cargo
  • the load capacity, etc. is not limited here.
  • the above-mentioned berthing plan may refer to the berthing plan of each remaining barge corresponding to the target pier that has not yet berthed after the barge A berths at the target pier.
  • the target estimated time of arrival corresponding to each remaining barge can be obtained based on the above-mentioned preset model, and then the above-mentioned berthing schedule can be updated according to the target estimated time of arrival of each barge, so as to obtain a new berthing schedule. Schedule and update the target estimated time of arrival of each of the above barges into the blockchain network.
  • the estimated time of arrival of each barge can be iteratively updated in real time through the above preset model, which is beneficial to obtain a more accurate estimated time of arrival corresponding to each barge, and is conducive to better targeting multiple barges.
  • the barge is scheduled to avoid long waiting time for the barge, which is beneficial to improve the turnover rate of the terminal business.
  • the working status of each barge after real-time update can be obtained, and then each barge can be scheduled, and the scheduling of multiple barges can be realized, which is beneficial to improve the dock business. work efficiency.
  • the blockchain-based barge berthing method described in the embodiments of the present application is applied to the server, and the berthing plan of each barge berthing target dock among the multiple barges can be obtained from the blockchain network.
  • the secure sharing of information can be achieved through the blockchain network, and combined with the preset model, the prediction of target navigation data such as the barge's estimated time of arrival can be achieved, and through real-time updates, it is conducive to more accurate information on each barge.
  • the berthing schedule is beneficial to improve the business turnover rate of the entire terminal system.
  • FIG. 2 is an example flow chart of a blockchain-based barge berthing method disclosed in an embodiment of the present application, applied to a server, and the blockchain-based barge berthing method can be Include the following steps.
  • the blockchain-based barge berthing method described in the embodiment of the present application is applied to the server to obtain the historical barge navigation data of each barge in the plurality of barges, and obtain a plurality of historical barge navigation data; Inputting the plurality of historical barge voyage data into the preset model, obtaining target voyage data corresponding to each barge, and obtaining the plurality of target voyage data; uploading the plurality of target voyage data to the block In the blockchain network; according to the multiple target navigation data, determine the berthing plan of each barge to obtain the multiple berthing plans; update the multiple berthing plans into the blockchain network ; Acquire the target navigation data corresponding to each barge, and obtain a plurality of target navigation data, wherein the plurality of target navigation data are obtained according to a preset model; According to the plurality of berthing plans and the plurality of target navigation data, Determining a berthing schedule of the target terminal; and scheduling the plurality of barges according to the berthing schedule.
  • each barge after each barge has determined the berthing plan, it can upload the berthing plan to the blockchain network, and realize the sharing of information through the non-tampering and consensus trust mechanism of the blockchain network; and , the target navigation data of the barge can be predicted based on the preset model, which is conducive to more accurate scheduling of the berthing of each barge, and is conducive to improving the business turnover rate of the entire terminal system.
  • FIG. 3 is an example flow chart of a method for berthing a barge based on a blockchain disclosed in an embodiment of the present application, applied to a server, and the method for berthing a barge based on a blockchain can be Include the following steps.
  • the blockchain-based barge berthing method described in the embodiments of the present application is applied to the server, and the berthing plan of each barge berthing target dock among the multiple barges is obtained from the blockchain network, and a number of a berthing plan; obtain the target navigation data corresponding to each barge, and obtain a plurality of target navigation data, wherein the plurality of target navigation data are obtained according to a preset model; according to the target navigation data corresponding to the barge A, determine the target navigation data
  • the multiple sailing speeds, destinations and preset sailing routes of the barge A under different load conditions, and the barge A is any one of the multiple barges; synchronizing with the at least one first barge with the same destination, and determining a first sailing route corresponding to each first barge to obtain at least one first sailing route; according to the at least one first sailing route, the plurality of sailing speeds and all According to the preset navigation route, the berthing plan of the barge A is determined, and the berthing plans of multiple barges are
  • Schedule schedule schedule the plurality of barges according to the berthing schedule schedule.
  • each participant such as a barge or a terminal or a logistics operation platform can obtain the berthing plan or other information related to its own business from the blockchain network; in this way, the berthing between barges can be avoided.
  • Conflict to reduce barge waiting time each participant such as a barge or a terminal or a logistics operation platform can obtain the berthing plan or other information related to its own business from the blockchain network; in this way, the berthing between barges can be avoided.
  • FIG. 4 is a schematic structural diagram of a server provided by an embodiment of the present application. As shown in FIG. 4, it includes a processor, a communication interface, a memory, and one or more programs.
  • a processor, a communication interface and a memory are interconnected, wherein the memory is used to store a computer program, the computer program includes program instructions, the processor is configured to invoke the program instructions, the one or more programs.
  • the multiple target voyage data wherein the multiple target voyage data are obtained according to a preset model; according to the multiple berthing plans and the multiple target voyage data, the berthing schedule of the target wharf is determined; according to the The berthing schedule schedule schedules the plurality of barges.
  • the server described in the embodiment of the present application obtains the berthing plan of each barge berthing target wharf among the multiple barges from the blockchain network, and obtains multiple berthing plans; obtains the corresponding berthing plan for each barge
  • the target navigation data a plurality of target navigation data are obtained, wherein, the plurality of target navigation data are obtained according to the preset model; according to the plurality of berthing plans and the plurality of target navigation data, the berthing schedule of the target terminal is determined; Mooring schedule schedule to schedule multiple barges.
  • the secure sharing of information can be achieved through the blockchain network, and combined with the preset model, the prediction of target navigation data such as the barge's estimated time of arrival can be achieved, and through real-time updates, it is conducive to more accurate information on each barge.
  • the berthing schedule is beneficial to improve the business turnover rate of the entire terminal system.
  • the program before the berthing plan of each of the plurality of barges berthing at the target dock is obtained from the blockchain network, the program is used to execute an instruction for the following steps: obtaining the plurality of barges The historical barge navigation data of each barge in the barge is obtained, and a plurality of historical barge navigation data are obtained; the plurality of historical barge navigation data are input into the preset model to obtain the target navigation data corresponding to each barge, and the multiple target sailing data; upload the multiple target sailing data to the blockchain network; determine the berthing plan of each barge according to the multiple target sailing data, and obtain the multiple target sailing data berthing plans; updating the plurality of berthing plans into the blockchain network.
  • the historical barge navigation data includes: historical barge navigation trajectories and historical loading and unloading data corresponding to the historical barge navigation trajectories; if the target navigation data includes multiple navigation speeds; the program further an instruction for performing the steps of: determining, according to the historical barge trajectories, the position information and the voyage time corresponding to the barge A in the plurality of barges, and the barge A is any barge in the plurality of barges;
  • the historical loading and unloading ship data, the position information and the sailing time are input into the preset model to obtain the corresponding sailing speeds of the barge A under different load conditions, and the plurality of sailing speeds are obtained.
  • the program is used to execute the instructions of the following steps : determine the multiple sailing speeds, destinations and preset sailing routes of the barge A under different load conditions according to the target sailing data corresponding to the barge A; synchronize with the at least one first barge with the same destination, and determining a first sailing route corresponding to each first barge to obtain at least one first sailing route; according to the at least one first sailing route, the plurality of sailing speeds and all According to the preset sailing route, the berthing plan of the barge A is determined.
  • the program before synchronizing the at least one first barge that is the same as the destination from the blockchain network, the program is further configured to execute the instruction of the following step: obtaining the certificate of the barge A information; verifying the certificate information; if the certificate information is successfully verified, performing the step of synchronizing at least one first barge that is the same as the destination from the blockchain network.
  • the program in the aspect of verifying the certificate information, is used to execute the instructions of the following steps: determining the identity corresponding to the barge A information; determine the corresponding pre-stored public key according to the sign information; match the preset public key with the public key; if the matching is successful, verify the signature information; if the signature information is successfully verified, Then it is determined that the certificate information is successfully verified.
  • the program is further used to execute the instructions of the following steps: after the barge A leaves the target terminal, acquire the ship loading operation information and the ship unloading operation information corresponding to each container in the target terminal ; obtain the loading information of each remaining barge; input the loading information, berthing plan, the loading operation information and the unloading operation information into the preset model, and obtain the loading information of each barge in the remaining barges target estimated time of arrival; update the berthing schedule of the remaining barges according to the target estimated time of arrival.
  • the server includes corresponding hardware structures and/or software modules for executing each function.
  • the present application can be implemented in hardware or a combination of hardware and computer software with the units and algorithm steps of each example described in conjunction with the embodiments provided herein. Whether a function is performed by hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Skilled artisans may implement the described functionality using different methods for each particular application, but such implementations should not be considered beyond the scope of this application.
  • the server may be divided into functional units according to the foregoing method examples.
  • each functional unit may be divided corresponding to each function, or two or more functions may be integrated into one processing unit.
  • the above-mentioned integrated units may be implemented in the form of hardware, or may be implemented in the form of software functional units. It should be noted that the division of units in the embodiments of the present application is illustrative, and is only a logical function division, and other division methods may be used in actual implementation.
  • FIG. 5 is a schematic structural diagram of a blockchain-based barge berthing device disclosed in an embodiment of the present application, applied to a server, and the device includes: an acquisition unit 501 , a determination unit 502 and Scheduling unit 503 .
  • the obtaining unit 501 is configured to obtain the berthing plan of each of the multiple barges berthing at the target terminal from the blockchain network, and obtain multiple berthing plans.
  • the acquiring unit 501 is further configured to acquire target navigation data corresponding to each barge, and obtain a plurality of target navigation data, wherein the plurality of target navigation data are obtained according to a preset model.
  • the determining unit 502 is configured to determine a berthing schedule of the target terminal according to the multiple berthing plans and the multiple target navigation data.
  • the scheduling unit 503 is configured to schedule the plurality of barges according to the berthing scheduling schedule.
  • the blockchain-based barge berthing device described in the embodiments of the present application is applied to the server, and the berthing plan of each barge berthing target dock among the multiple barges is obtained from the blockchain network, and then the berthing plan is obtained.
  • Multiple berthing plans obtain target navigation data corresponding to each barge, and obtain multiple target navigation data, wherein, multiple target navigation data are obtained according to a preset model; determine according to multiple berthing plans and multiple target navigation data The berthing schedule of the target terminal; according to the berthing schedule, multiple barges are scheduled.
  • the secure sharing of information can be achieved through the blockchain network, and combined with the preset model, the prediction of target navigation data such as the barge's estimated time of arrival can be achieved, and through real-time updates, it is conducive to more accurate information on each barge.
  • the berthing schedule is beneficial to improve the business turnover rate of the entire terminal system.
  • the determining unit 502 may be specifically configured to: Target sailing data corresponding to the barge A, determine the multiple sailing speeds, destinations and preset sailing routes of the barge A under different load conditions; synchronize with the destination from the blockchain network same at least one first barge, and determine a first sailing route corresponding to each first barge to obtain at least one first sailing route; according to the at least one first sailing route, the plurality of sailing speeds and the Set a sailing route, and determine the berthing plan of the barge A.
  • Embodiments of the present application further provide a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program for electronic data exchange, and the computer program enables a computer to execute any one of the above-mentioned method embodiments based on Some or all of the steps of a blockchain-based barge berthing method.
  • the storage medium involved in this application such as a computer-readable storage medium, may be non-volatile or volatile.
  • Embodiments of the present application further provide a computer program product, the computer program product comprising a non-transitory computer-readable storage medium storing a computer program, the computer program being operable to cause a computer to execute the methods described in the foregoing method embodiments Some or all of the steps of any blockchain-based barge berthing method.
  • the computer program product may be a software installation package.
  • the disclosed apparatus may be implemented in other manners.
  • the apparatus embodiments described above are only illustrative, for example, the division of the units is only a logical function division, and there may be other division methods in actual implementation, for example, multiple units or components may be combined or Integration into another system, or some features can be ignored, or not implemented.
  • the shown or discussed mutual coupling or direct coupling or communication connection may be through some interfaces, indirect coupling or communication connection of devices or units, and may be in electrical or other forms.
  • the units described as separate components may or may not be physically separated, and components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution in this embodiment.
  • each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically alone, or two or more units may be integrated into one unit.
  • the above-mentioned integrated units can be implemented in the form of hardware, and can also be implemented in the form of software program modules.
  • the integrated unit if implemented in the form of a software program module and sold or used as a stand-alone product, may be stored in a computer readable memory.
  • the technical solution of the present application can be embodied in the form of a software product in essence, or the part that contributes to the prior art, or all or part of the technical solution, and the computer software product is stored in a memory.
  • a computer device which may be a personal computer, a server, or a network device, etc.
  • the aforementioned memory includes: U disk, read-only memory (read-only memory) memory, ROM), random access memory (random) Access memory, RAM), mobile hard disk, magnetic disk or optical disk and other media that can store program code.

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Physics & Mathematics (AREA)
  • Human Resources & Organizations (AREA)
  • General Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Strategic Management (AREA)
  • Databases & Information Systems (AREA)
  • General Business, Economics & Management (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Tourism & Hospitality (AREA)
  • Marketing (AREA)
  • Economics (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Computer Security & Cryptography (AREA)
  • Bioethics (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Computer Hardware Design (AREA)
  • Software Systems (AREA)
  • Computing Systems (AREA)
  • Primary Health Care (AREA)
  • Traffic Control Systems (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

本申请涉及区块链技术领域，尤其涉及一种基于区块链的驳船靠泊方法、装置及存储介质，应用于服务器，所述方法包括：从区块链网络中获取多个驳船中每一驳船靠泊目标码头的靠泊计划，得到多个靠泊计划；获取每一驳船对应的目标航行数据，得到多个目标航行数据，其中，多个目标航行数据根据预设模型得到；根据多个靠泊计划和多个目标航行数据，确定目标码头的靠泊排期计划表；根据靠泊排期计划表，对多个驳船进行排期。采用本申请实施例，有利于提高整个码头系统的业务周转率。

Description

基于区块链的驳船靠泊方法、装置及存储介质
本申请要求于2020年11月18日提交中国专利局、申请号为202011290355.0，发明名称为“基于区块链的驳船靠泊方法、装置及存储介质”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本申请涉及区块链技术领域，具体涉及一种基于区块链的驳船靠泊方法、装置及存储介质。
 背景技术
在组合港的业务模式下，许多内地的货物需要通过驳船的方式运输至港口码头，完成集装箱从驳船卸载再装载至大船并最终离境的业务。所以，一个港口码头通常会汇集多个内地码头的驳船来进行靠泊，同时还会有大量的班轮需要在港口码头靠泊，所以港口码头的泊位是一个非常紧张的瓶颈资源。
另外，发明人意识到，由于驳船在行驶计划中会备注预计抵达港口码头的时间，但实际到达港口码头的时间充满了不确定性，可能因为前一靠泊码头的作业时间变动或海关在各个节点可能出现的监管要求而导致实际到达时间与预计抵达时间差异巨大，导致原本就已经是瓶颈资源的港口码头变得更加拥堵，不利于码头业务的开展。
 技术问题
本申请实施例提供一种基于区块链的驳船靠泊方法、装置及存储介质，有利于提高整个码头系统的业务周转率。
 技术解决方案
本申请实施例第一方面提供了一种基于区块链的驳船靠泊方法，应用于服务器，包括：从区块链网络中获取多个驳船中每一驳船靠泊目标码头的靠泊计划，得到多个靠泊计划；获取每一驳船对应的目标航行数据，得到多个目标航行数据，其中，所述多个目标航行数据根据预设模型得到；根据所述多个靠泊计划和所述多个目标航行数据，确定所述目标码头的靠泊排期计划表；根据所述靠泊排期计划表，对所述多个驳船进行排期。
本申请实施例第二方面提供了一种基于区块链的驳船靠泊装置，应用于服务器，所述装置包括：获取单元、确定单元和排期单元，其中，所述获取单元，用于从区块链网络中获取多个驳船中每一驳船靠泊目标码头的靠泊计划，得到多个靠泊计划；所述获取单元，还用于获取每一驳船对应的目标航行数据，得到多个目标航行数据，其中，所述多个目标航行数据根据预设模型得到；所述确定单元，用于根据所述多个靠泊计划和所述多个目标航行数据，确定所述目标码头的靠泊排期计划表；所述排期单元，用于根据所述靠泊排期计划表，对所述多个驳船进行排期。
本申请实施例的第三方面提供一种服务器，所述服务器包括处理器、通信接口、存储器以及一个或多个程序，所述处理器、通信接口和存储器相互连接，其中，所述存储器用于存储计算机程序，所述计算机程序包括程序指令，所述处理器被配置用于调用所述程序指令，执行本申请实施例第一方面所述的方法，该方法包括：从区块链网络中获取多个驳船中每一驳船靠泊目标码头的靠泊计划，得到多个靠泊计划；获取每一驳船对应的目标航行数据，得到多个目标航行数据，其中，所述多个目标航行数据根据预设模型得到；根据所述多个靠泊计划和所述多个目标航行数据，确定所述目标码头的靠泊排期计划表；根据所述靠泊排期计划表，对所述多个驳船进行排期。
本申请实施例的第四方面提供了一种计算机可读存储介质，其中，上述计算机可读存储介质存储用于电子数据交换的计算机程序，其中，上述计算机程序使得计算机执行以下方法：从区块链网络中获取多个驳船中每一驳船靠泊目标码头的靠泊计划，得到多个靠泊计划；获取每一驳船对应的目标航行数据，得到多个目标航行数据，其中，所述多个目标航行数据根据预设模型得到；根据所述多个靠泊计划和所述多个目标航行数据，确定所述目标码头的靠泊排期计划表；根据所述靠泊排期计划表，对所述多个驳船进行排期。
 有益效果
实施本申请实施例，可通过区块链网络实现信息的安全共享，并结合预设模型，实现对驳船的预计到达时间等目标航行数据的预测，并通过实时更新的方式，有利于更加精确的对各个驳船的靠泊进行排期，有利于提高整个码头系统的业务周转率。
 附图说明
图1A为本申请实施例提供了一种基于区块链的驳船靠泊系统的架构示意图。
图1B为本申请实施例提供了一种基于区块链的驳船靠泊方法的流程示意图。
图2为本申请实施例提供了一种基于区块链的驳船靠泊方法的流程示意图。
图3为本申请实施例提供了一种基于区块链的驳船靠泊方法的流程示意图。
图4为本申请实施例提供了一种服务器的结构示意图。
图5为本申请实施例提供了一种基于区块链的驳船靠泊装置的结构示意图。
 本发明的实施方式
下面将结合本申请实施例中的附图，对本申请实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本申请一部分实施例，而不是全部的实施例。基于本申请中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都属于本申请保护的范围。
本申请的技术方案可涉及人工智能技术领域，可以基于人工智能技术对相关的数据进行获取和处理，从而推动智慧城市的建设。
为了能够更好地理解本申请实施例，下面将对应用本申请实施例的方法进行介绍。
本申请实施例中提到的服务器可以包括但不限于后台服务器、组件服务器、云端服务器、基于区块链的驳船靠泊系统服务器或基于区块链的驳船靠泊软件服务器等，比如该服务器可以是提供云服务、云数据库、云计算、云函数、云存储、网络服务、云通信、中间件服务、域名服务、安全服务、内容分发网络(Content Delivery Network，CDN)、以及大数据和人工智能平台等基础云计算服务的云服务器。可以理解，上述仅是举例，而非穷举，包含但不限于上述装置。
请参见图1A，图1A是本申请实施例提供的一种基于区块链的驳船靠泊系统的架构示意图，应用于服务器。
其中，上述服务器中可包括组合港通关系统，该系统可用于管理港口的各项离港、进港业务，以帮助各个港口更好的实现资源的排期，实现整个组合港的业务一体化。
其中，该组合港通关系统可包括多个参与方，其中可包括：内地码头、港口码头、各地海关、驳船公司等等，在此不作限定。如图1A所示，为基于区块链的驳船靠泊系统的架构示意图，可包括组合港通关系统和区块链网络；如图所示，上述组合港通关系统可包括：码头、海关、驳船A和驳船B等等，在此不作限定；该驳船A与驳船B可来自于同一驳船公司或不同驳船公司。
其中，上述组合港通关系统中每一参与方可作为一个节点加入到区块链网络中，具体的，各参与方可完成各自的企业实名认证，并获取证书信息，该证书信息中可包括电子签名等信息，该数字签名可指独一无二的数值，可通过该数字签名来确认其身份，以增加信息安全性；各参与方可将其数据上传至该区块链网络中，也可从该区块链网络中获取其他参与方的信息。
其中，该系统中还可包括预设模型，该预设模型可为用户自行设置或者系统默认，在此不做限定。可通过该预设模型对各个驳船的航行数据进行预测，例如，可通过该预设模型得到每一驳船对应的航行速度、监管时间、监管概率、靠泊一次所需时间、预计到达时间等等，在此不作限定。
可见，在本申请实施例中，可通过区块链网络给整个组合港系统提供了一个平台，各个参与方可将自己的状态以及驳船计划等上传到区块链中，并基于区块链的不可篡改以及共识信任机制等特性，实现信息的共享特性；同时，在本申请实施例中，上述组合港系统还包括了预设模型，通过该预设模型，可实现对驳船的目标航行数据（航行速度、监管时间、监管概率、靠泊一次所需时间、预计到达时间等等，在此不作限定）的预测，并实时更新，有利于更加精确的对各个驳船的靠泊进行排期，有利于提高整个码头系统的业务周转率。
请参见图1B，图1B是本申请实施例提供的一种基于区块链的驳船靠泊方法的流程示意图，应用于服务器，上述方法包括以下步骤。
101、从区块链网络中获取多个驳船中每一驳船靠泊目标码头的靠泊计划，得到多个靠泊计划。
其中，本申请实施例可应用于服务器，该服务器中可包括组合港通关系统；该组合港通关系统中可包括以下至少一个：码头系统、区块链网络和多个驳船等等，在此不作限定；上述目标码头可指上述多个驳船需要靠泊进行装卸船的码头，每一码头可靠泊多个来自于不同方向的驳船。
其中，在上述组合港通关系统中，可包括码头、各地海关、驳船公司等等参与方，每一参与方可作为一个区块链节点，加入上述区块链网络中。
其中，上述每一驳船对应的靠泊计划可事先存储在区块链网络中创建的一个区块内，通过区块链实现信息在不同平台或者系统之间的共享。区块链是分布式数据存储、点对点传输、共识机制、加密算法等计算机技术的新型应用模式。区块链(Blockchain)，本质上是一个去中心化的数据库，是一串使用密码学方法相关联产生的数据块，每一个数据块中包含了一批次网络交易的信息，用于验证其信息的有效性(防伪)和生成下一个区块。区块链可以包括区块链底层平台、平台产品服务层以及应用服务层。
可选地，在上述步骤101之前，在所述从区块链网络中获取多个驳船中每一驳船靠泊目标码头的靠泊计划之前，还可包括如下步骤：获取所述多个驳船中每一驳船的历史驳船航行数据，得到多个历史驳船航行数据；将所述多个历史驳船航行数据输入所述预设模型，得到所述每一驳船对应的目标航行数据，得到所述多个目标航行数据；将所述多个目标航行数据上传到所述区块链网络中；根据所述多个目标航行数据，确定所述每一驳船的靠泊计划，得到所述多个靠泊计划；将所述多个靠泊计划更新到所述区块链网络中。
其中，上述历史驳船航行数据可包括以下至少一种：历史驳船航行轨迹、历史海关监管情况、历史装卸船数据、历史靠泊所需时间等等，在此不作限定。为了提高数据安全性，该历史驳船航行数据也可保存于区块链中。
其中，每一驳船可对应有历史驳船航行数据，服务器中可包括上述预设模型，该预设模型可为用户自行设置或者系统默认，该预设模型可为卷积网络模型等；可将上述历史驳船数据输入该预设模型，得到每一驳船对应的目标航行数据，为了更准确的得到目标航行数据，可选取时间跨度超过一年、三年或其他预设年限的历史驳船航行数据。
其中，上述目标航行数据可包括以下至少一种：航行速度、监管时间、监管概率、靠泊一次所需时间等等，在此不作限定；其中，上述监管概率可指驳船在航行过程中，当被海关要求进行监管的情况下的概率，该监管情况一般是采用抽样的形式进行，驳船是否被监管直接影响到其靠泊码头的预计抵达时间。此外，还可每一驳船对应的历史装卸船数据，可通过上述预设模型得到每一驳船在各个码头装卸集装箱所需时间和集装箱装卸量之间的关系。
进一步地，在得到上述目标航行数据以后，为了保证数据安全性，可将上述每一驳船对应的目标航行数据上传到区块链网络中。
其中，上述目标航行数据体现了每一驳船在航行过程中针对每一种航行实际情况对应的航行数据，因此，可通过该目标航行数据预估每一驳船对应的靠泊计划，以得到多个靠泊计划，并将上述多个靠泊计划更新到区块链网络中。
可见，由于上述历史驳船航行数据实际上是实时变化的，因此针对不同码头，每一驳船对应的目标航行数据也是实时变化的，从而区块链网络中每一驳船对应的靠泊计划会因为不断新增的数据的输入以及更新，得到新的靠泊计划，每一驳船对应的靠泊计划也是实时更新的，从而，当后续从区块链网络中同步每一驳船的靠泊计划以后，有利于更好的对每一驳船进行排期，以降低驳船的等待时间。
可选地，若所述历史驳船航行数据包括：历史驳船航行轨迹和所述历史驳船航行轨迹对应的历史装卸船数据；若所述目标航行数据包括多个航行速度；还可包括如下步骤：根据所述历史驳船航行轨迹，确定所述多个驳船中的驳船A对应的位置信息和航行时间，所述驳船A为所述多个驳船中的任一驳船；将所述历史装卸船数据和所述位置信息以及所述航行时间输入所述预设模型，得到所述驳船A在不同的载重情况下对应的航行速度，得到所述多个航行速度。
其中，上述历史驳船航行数据可包括以下至少一种：历史驳船航行轨迹、历史海关监管情况、历史装卸船数据、历史靠泊所需时间等等，在此不作限定。
其中，上述驳船A为多个驳船中任意一个，可通过预设模型确定每一驳船对应的航行速度。
其中，上述每一历史驳船航行轨迹可对应有历史装卸船数据，上述历史航船轨迹可为一条曲线或者一个映射表，该曲线或者映射表可体现驳船时间与靠泊的位置信息之间的映射关系，每一次航行以后可对应有装卸船数据，该装卸船数据可包括以下至少一种：载重情况、撰写方式、接收码头、出发码头、装卸时间、货物种类等等，在此不做限定。
具体实现中，可基于每一历史驳船航行轨迹确定该驳船A在不同航行位置对应的航行时间，并将上述历史装卸船数据和位置信息、航行时间输入上述预设模型，经由该预设模型可根据历史装卸船数据、航行时间和位置信息等，确定该驳船A在不同位置对应的相关联的航行时间以及载重情况等信息，进而，可进一步得到上述驳船A在不同的载重情况下对应的航行速度，进而可得到多个航行速度，每一航行速度可对应一个载重情况。
102、获取每一驳船对应的目标航行数据，得到多个目标航行数据，其中，所述多个目标航行数据根据预设模型得到。
其中，可通过上述预设模型得到每一驳船对应的目标航行数据，上述目标航行数据可包括以下至少一种：航行速度、监管时间、监管概率、靠泊一次所需时间等等，在此不作限定。
其中，上述监管概率可指驳船在航行过程中，当被海关要求进行监管的情况下的概率，该监管情况一般是采用抽样的形式进行，驳船是否被监管直接影响到其靠泊码头的预计抵达时间。
其中，为了保证数据的安全性，可将上述多个目标航行数据存储于上述区块链网络中。
103、根据所述多个靠泊计划和所述多个目标航行数据，确定所述目标码头的靠泊排期计划表。
其中，上述靠泊计划可包括每一驳船在不同码头的靠泊时间、靠泊港口、在该码头对应的装卸船数据等等，在此不作限定。
其中，上述靠泊排期计划表中可包括每一驳船的预计到达时间、预计离岗时间、靠泊时间、靠泊码头的泊位号等等，在此不作限定。
可选地，若上述目标航行数据包括：监管概率和监管时间；上述根据多个靠泊计划和多个目标航行数据，确定目标码头的靠泊排期计划表，可包括如下步骤：根据多个目标航行数据中包括的多个监管概率和监管时间，确定每一驳船到达上述目标码头的预计到达时间，得到多个预计到达时间；获取该目标码头的泊位状态；根据多个预计到达时间和多个靠泊计划，将每一驳船的作业进度更新到预设列表中，并生成上述靠泊排期计划表。
其中，上述预设列表可为用户自行设置或者系统默认，在此不作限定；该预设列表可包括多个列表，其中，可包括以下至少一种：等待靠泊列表、正在靠泊列表、离岗作业列表、装卸船工作列表等等，在此不作限定。
其中，上述预计到达时间可指驳船预计达到目标码头的时间点或者时刻；每一驳船可对应一个预计达到时间。
其中，上述监管概率和监管时间可由预设模型根据历史监管信息得到，该历史监管信息可包括驳船被海关要求进行监管的信息，具体可包括以下至少一种：历史监管概率、历史监管时间、历史监管位置、历史监管码头、历史监管航线等等，在此不作限定。
其中，上述泊位状态可包括以下至少一种：作业时间、泊位利用率、泊位总长、泊位数目、泊位费等等，在此不作限定。
在一种可能的示例中，所述根据所述多个目标航行数据，确定所述每一驳船的靠泊计划，得到所述多个靠泊计划，可包括如下步骤：根据所述驳船A对应的目标航行数据，确定所述驳船A在不同载重情况下的所述多个航行速度、目的地和预设航行路线；从所述区块链网络中同步与所述目的地相同的至少一个第一驳船，并确定每一第一驳船对应的第一航行路线，得到至少一个第一航行路线；根据所述至少一个第一航行路线、所述多个航行速度和所述预设航行路线，确定所述驳船A的靠泊计划。
其中，每一驳船在确定了靠泊计划以后，均可将该靠泊计划上传到区块链网络中，并且，每一驳船或者是码头或者物流作业平台等参与方均可从该区块链网络中获取与自己的业务相关的靠泊计划或者其他信息；因此，每一驳船可从区块链网络中同步与其靠泊计划相关联的至少一个第一驳船的信息，以避免由相同航线导致的驳船碰撞等情况的发生。
其中，上述预设航行路线可由驳船自行设置或者系统默认，在此不作限定；可由目标航行数据确定该驳船A在不同载重情况下对应的航行速度，每一载重情况可对应一个航行速度，可确定当前载重情况下对应的航行速度；进一步地，可通过目标航行数据确定当前驳船A的目的地，该目的地可指目标码头，或者在航行过程中经过的多个地点等等；以及其对应的预设航行路线；该预设航行路线中可包括该驳船A航行的路径、经过的地点、预计航行时间等等。
具体实现中，在确定与该驳船A具有相同目的地的至少一个第一驳船，若驳船A与第一驳船在到达目标码头之前经过的地点有重复的情况，则也可确定为该第一驳船与驳船A对应有相同的目的地；那么，可从区块链网络中确定上述至少一个第一驳船对应的至少一个第一航行路线，每一第一驳船可对应有一个第一航行路线；进而，可根据驳船A的预设航行路线与至少一个第一航行路线进行拟合，以得到驳船A与任意一个第一航行路线的相同的目的地，以及对应的航行速度，并基于多个航行速度，对该驳船A的靠泊计划进行调整更新，以规避其他第一驳船，以避免在同一时段出现在同一航行路段，以避免造成碰撞或者拥挤等情况，有利于维持整个航线的绿色通行。
可选地，在在所述从区块链网络中同步与所述目的地相同的至少一个第一驳船之前，所述方法还包括：获取所述驳船A的证书信息；验证所述证书信息；若所述证书信息被验证成功，则执行从所述区块链网络中同步与所述目的地相同的至少一个第一驳船的步骤。
其中，可在从区块链中同步至少一个第一驳船信息之前，对该驳船A进行验证，以确定其是否有权限获取上述信息。
其中，上述证书信息可包括：公钥和签名信息等等，在此不作限定；该证书信息是不可更改的，且具有时效性，每一证书信息可对应有一个标签；上述签名信息可包括数字签名、证书范围、证书有效性等信息，在此不作限定。
在一种可能的示例中，若所述证书信息包括公钥和签名信息；所述验证所述证书信息，包括：确定所述驳船A对应的标识信息；根据所述标志信息，确定其对应的预存公钥；将所述预设公钥与所述公钥进行匹配；若匹配成功，则验证所述签名信息；若所述签名信息验证成功，则确定所述证书信息被验证成功。
其中，每一驳船可对应有一个标识信息，该标志信息可与其证书信息相关联，并存储于区块链网络中，该标识信息可为驳船A的驳船名字或者其他字符，在此不作限定。
其中，上述预存公钥可为用户自行设置或者系统默认，在此不作限定；可事先预设公钥与标识信息之间的映射关系，进而，可根据该预设关系，确定该驳船A的标识信息对应的预设公钥。
其中，可将该预设公钥与区块链中存储的公钥进行匹配，若匹配成功，则继续验证该公钥对应的签名信息，若该签名信息验证成功，则确定该证书信息被认证通过，表明该驳船A的身份信息被验证通过，则可获取其他驳船对应的航行路线等信息。
可选地，在上述步骤103之后，还可包括如下步骤：当所述驳船A离开所述目标码头以后，获取所述目标码头每一集装箱对应的装船作业信息和卸船作业信息；获取剩余每一驳船的装载信息；将所述装载信息、靠泊计划、所述装船作业信息和所述卸船作业信息输入所述预设模型中，得到剩余驳船中的每一驳船的目标预计到达时间；依据所述目标预计到达时间更新所述剩余驳船的靠泊排期计划表。
其中，上述装载信息可指每一驳船在靠泊以后的装载货物的作业信息；上述剩余驳船可指还未靠泊的驳船。
其中，上述装船作业信息和卸船作业信息可指驳船A在目标码头进行装船或者卸船货物的信息，例如可包括装/卸货物重量、货物送达的目的地、船载重量、剩余载重量等等，在此不做限定。
其中，上述靠泊计划可指该驳船A在靠泊该目标码头以后，该目标码头对应的剩余还未靠泊的每一驳船的靠泊计划。
其中，可基于上述预设模型，得到剩余每一驳船对应的目标预计到达时间，进而可依据每一驳船的目标预计到达时间对上述靠泊排期计划表进行更新，以得到新的靠泊排期计划表，并将上述每一驳船的目标预计到达时间更新到区块链网络中。
可见，本申请实施例中，可通过上述预设模型实时对各个驳船的预计到达时间进行迭代更新，有利于得到每一驳船对应的更加准确的预计到达时间，并有利于更好的针对多个驳船进行排期，以避免驳船等待时间过长，有利于提高码头业务的周转率。
104、根据所述靠泊排期计划表，对所述多个驳船进行排期。
其中，根据上述靠泊排期计划表，可得到实时更新以后的每一驳船的工作状态，进而可对每一驳船进行排期，并实现对多个驳船的排期，有利于提高码头业务的工作效率。
可以看出，本申请实施例中所描述的基于区块链的驳船靠泊方法，应用于服务器，可从区块链网络中获取多个驳船中每一驳船靠泊目标码头的靠泊计划，得到多个靠泊计划；获取每一驳船对应的目标航行数据，得到多个目标航行数据，其中，多个目标航行数据根据预设模型得到；根据多个靠泊计划和多个目标航行数据，确定目标码头的靠泊排期计划表；根据靠泊排期计划表，对多个驳船进行排期。如此，可通过区块链网络实现信息的安全共享，并结合预设模型，实现对驳船的预计到达时间等目标航行数据的预测，并通过实时更新的方式，有利于更加精确的对各个驳船的靠泊进行排期，有利于提高整个码头系统的业务周转率。
与上述一致地，请参阅图2，图2是本申请实施例公开的一种基于区块链的驳船靠泊方法的流程示例图，应用于服务器，该基于区块链的驳船靠泊方法可包括如下步骤。
201、获取所述多个驳船中每一驳船的历史驳船航行数据，得到多个历史驳船航行数据。
202、将所述多个历史驳船航行数据输入所述预设模型，得到所述每一驳船对应的目标航行数据，得到所述多个目标航行数据。
203、将所述多个目标航行数据上传到所述区块链网络中。
204、根据所述多个目标航行数据，确定所述每一驳船的靠泊计划，得到所述多个靠泊计划。
205、将所述多个靠泊计划更新到所述区块链网络中。
206、获取每一驳船对应的目标航行数据，得到多个目标航行数据，其中，所述多个目标航行数据根据预设模型得到。
207、根据所述多个靠泊计划和所述多个目标航行数据，确定所述目标码头的靠泊排期计划表。
208、根据所述靠泊排期计划表，对所述多个驳船进行排期。
其中，上述步骤201-208的具体描述可以参照图1B所述的基于区块链的驳船靠泊方法的相应描述，在此不再赘述。
可以看出，本申请实施例所描述的基于区块链的驳船靠泊方法，应用于服务器，获取所述多个驳船中每一驳船的历史驳船航行数据，得到多个历史驳船航行数据；将所述多个历史驳船航行数据输入所述预设模型，得到所述每一驳船对应的目标航行数据，得到所述多个目标航行数据；将所述多个目标航行数据上传到所述区块链网络中；根据所述多个目标航行数据，确定所述每一驳船的靠泊计划，得到所述多个靠泊计划；将所述多个靠泊计划更新到所述区块链网络中；获取每一驳船对应的目标航行数据，得到多个目标航行数据，其中，所述多个目标航行数据根据预设模型得到；根据所述多个靠泊计划和所述多个目标航行数据，确定所述目标码头的靠泊排期计划表；根据所述靠泊排期计划表，对所述多个驳船进行排期。如此，每一驳船在确定了靠泊计划以后，均可将该靠泊计划上传到区块链网络中，通过该区块链网络的不可篡改以及共识信任机制等特性，实现信息的共享；并且，可基于预设模型对驳船的目标航行数据进行预测，有利于更加精确的对各个驳船的靠泊进行排期，有利于提高整个码头系统的业务周转率。
与上述一致地，请参阅图3，图3是本申请实施例公开的一种基于区块链的驳船靠泊方法的流程示例图，应用于服务器，该基于区块链的驳船靠泊方法可包括如下步骤。
301、从区块链网络中获取多个驳船中每一驳船靠泊目标码头的靠泊计划，得到多个靠泊计划。
302、获取每一驳船对应的目标航行数据，得到多个目标航行数据，其中，所述多个目标航行数据根据预设模型得到。
303、根据所述驳船A对应的目标航行数据，确定所述驳船A在不同载重情况下的所述多个航行速度、目的地和预设航行路线，所述驳船A为所述多个驳船中任意一个。
304、从所述区块链网络中同步与所述目的地相同的至少一个第一驳船，并确定每一第一驳船对应的第一航行路线，得到至少一个第一航行路线。
305、根据所述至少一个第一航行路线、所述多个航行速度和所述预设航行路线，确定所述驳船A的靠泊计划，得到多个驳船的靠泊计划。
306、根据所述多个靠泊计划和所述多个目标航行数据，确定所述目标码头的靠泊排期计划表。
307、根据所述靠泊排期计划表，对所述多个驳船进行排期。
其中，上述步骤301-307的具体描述可以参照图1B所述的基于区块链的驳船靠泊方法的相应描述，在此不再赘述。
可以看出，本申请实施例所描述的基于区块链的驳船靠泊方法，应用于服务器，从区块链网络中获取多个驳船中每一驳船靠泊目标码头的靠泊计划，得到多个靠泊计划；获取每一驳船对应的目标航行数据，得到多个目标航行数据，其中，所述多个目标航行数据根据预设模型得到；根据所述驳船A对应的目标航行数据，确定所述驳船A在不同载重情况下的所述多个航行速度、目的地和预设航行路线，所述驳船A为所述多个驳船中任意一个；从所述区块链网络中同步与所述目的地相同的至少一个第一驳船，并确定每一第一驳船对应的第一航行路线，得到至少一个第一航行路线；根据所述至少一个第一航行路线、所述多个航行速度和所述预设航行路线，确定所述驳船A的靠泊计划，得到多个驳船的靠泊计划；根据所述多个靠泊计划和所述多个目标航行数据，确定所述目标码头的靠泊排期计划表；根据所述靠泊排期计划表，对所述多个驳船进行排期。如此，每一驳船或者是码头或者物流作业平台等参与方均可从该区块链网络中获取与自己的业务相关的靠泊计划或者其他信息；如此，可避免驳船与驳船之间的靠泊冲突，以降低驳船的等待时间。
与上述一致地，请参阅图4，图4为本申请实施例提供的一种服务器的结构示意图，如图4所示，包括处理器、通信接口、存储器以及一个或多个程序，所述处理器、通信接口和存储器相互连接，其中，所述存储器用于存储计算机程序，所述计算机程序包括程序指令，所述处理器被配置用于调用所述程序指令，上述一个或多个程序包括用于执行以下步骤的指令：从区块链网络中获取多个驳船中每一驳船靠泊目标码头的靠泊计划，得到多个靠泊计划；获取每一驳船对应的目标航行数据，得到多个目标航行数据，其中，所述多个目标航行数据根据预设模型得到；根据所述多个靠泊计划和所述多个目标航行数据，确定所述目标码头的靠泊排期计划表；根据所述靠泊排期计划表，对所述多个驳船进行排期。
可以看出，本申请实施例中所描述的服务器，从区块链网络中获取多个驳船中每一驳船靠泊目标码头的靠泊计划，得到多个靠泊计划；获取每一驳船对应的目标航行数据，得到多个目标航行数据，其中，多个目标航行数据根据预设模型得到；根据多个靠泊计划和多个目标航行数据，确定目标码头的靠泊排期计划表；根据靠泊排期计划表，对多个驳船进行排期。如此，可通过区块链网络实现信息的安全共享，并结合预设模型，实现对驳船的预计到达时间等目标航行数据的预测，并通过实时更新的方式，有利于更加精确的对各个驳船的靠泊进行排期，有利于提高整个码头系统的业务周转率。
在一个可能的示例中，在所述从区块链网络中获取多个驳船中每一驳船靠泊目标码头的靠泊计划之前，所述程序用于执行以下步骤的指令：获取所述多个驳船中每一驳船的历史驳船航行数据，得到多个历史驳船航行数据；将所述多个历史驳船航行数据输入所述预设模型，得到所述每一驳船对应的目标航行数据，得到所述多个目标航行数据；将所述多个目标航行数据上传到所述区块链网络中；根据所述多个目标航行数据，确定所述每一驳船的靠泊计划，得到所述多个靠泊计划；将所述多个靠泊计划更新到所述区块链网络中。
在一个可能的示例中，若所述历史驳船航行数据包括：历史驳船航行轨迹和所述历史驳船航行轨迹对应的历史装卸船数据；若所述目标航行数据包括多个航行速度；所述程序还用于执行以下步骤的指令：根据所述历史驳船航行轨迹，确定所述多个驳船中的驳船A对应的位置信息和航行时间，所述驳船A为所述多个驳船中的任一驳船；将所述历史装卸船数据和所述位置信息以及所述航行时间输入所述预设模型，得到所述驳船A在不同的载重情况下对应的航行速度，得到所述多个航行速度。
在一个可能的示例中，在所述根据所述多个目标航行数据，确定所述每一驳船的靠泊计划，得到所述多个靠泊计划方面，所述程序用于执行以下步骤的指令：根据所述驳船A对应的目标航行数据，确定所述驳船A在不同载重情况下的所述多个航行速度、目的地和预设航行路线；从所述区块链网络中同步与所述目的地相同的至少一个第一驳船，并确定每一第一驳船对应的第一航行路线，得到至少一个第一航行路线；根据所述至少一个第一航行路线、所述多个航行速度和所述预设航行路线，确定所述驳船A的靠泊计划。
在一个可能的示例中，在所述从区块链网络中同步与所述目的地相同的至少一个第一驳船之前，所述程序还用于执行以下步骤的指令：获取所述驳船A的证书信息；验证所述证书信息；若所述证书信息被验证成功，则执行从所述区块链网络中同步与所述目的地相同的至少一个第一驳船的步骤。
在一个可能的示例中，若所述证书信息包括公钥和签名信息；在所述所述验证所述证书信息方面，所述程序用于执行以下步骤的指令：确定所述驳船A对应的标识信息；根据所述标志信息，确定其对应的预存公钥；将所述预设公钥与所述公钥进行匹配；若匹配成功，则验证所述签名信息；若所述签名信息验证成功，则确定所述证书信息被验证成功。
在一个可能的示例中，所述程序还用于执行以下步骤的指令：当所述驳船A离开所述目标码头以后，获取所述目标码头每一集装箱对应的装船作业信息和卸船作业信息；获取剩余每一驳船的装载信息；将所述装载信息、靠泊计划、所述装船作业信息和所述卸船作业信息输入所述预设模型中，得到剩余驳船中的每一驳船的目标预计到达时间；依据所述目标预计到达时间更新所述剩余驳船的靠泊排期计划表。
上述主要从方法侧执行过程的角度对本申请实施例的方案进行了介绍。可以理解的是，服务器为了实现上述功能，其包含了执行各个功能相应的硬件结构和/或软件模块。本领域技术人员应该很容易意识到，结合本文中所提供的实施例描述的各示例的单元及算法步骤，本申请能够以硬件或硬件和计算机软件的结合形式来实现。某个功能究竟以硬件还是计算机软件驱动硬件的方式来执行，取决于技术方案的特定应用和设计约束条件。专业技术人员可以对每个特定的应用使用不同方法来实现所描述的功能，但是这种实现不应认为超出本申请的范围。
本申请实施例可以根据上述方法示例对服务器进行功能单元的划分，例如，可以对应各个功能划分各个功能单元，也可以将两个或两个以上的功能集成在一个处理单元中。上述集成的单元既可以采用硬件的形式实现，也可以采用软件功能单元的形式实现。需要说明的是，本申请实施例中对单元的划分是示意性的，仅仅为一种逻辑功能划分，实际实现时可以有另外的划分方式。
与上述一致地，请参阅图5，图5是本申请实施例公开的一种基于区块链的驳船靠泊装置的结构示意图，应用于服务器，该装置包括：获取单元501、确定单元502和排期单元503。
所述获取单元501，用于从区块链网络中获取多个驳船中每一驳船靠泊目标码头的靠泊计划，得到多个靠泊计划。
所述获取单元501，还用于获取每一驳船对应的目标航行数据，得到多个目标航行数据，其中，所述多个目标航行数据根据预设模型得到。
所述确定单元502，用于根据所述多个靠泊计划和所述多个目标航行数据，确定所述目标码头的靠泊排期计划表。
所述排期单元503，用于根据所述靠泊排期计划表，对所述多个驳船进行排期。
可以看出，本申请实施例中所描述的基于区块链的驳船靠泊装置，应用于服务器，从区块链网络中获取多个驳船中每一驳船靠泊目标码头的靠泊计划，得到多个靠泊计划；获取每一驳船对应的目标航行数据，得到多个目标航行数据，其中，多个目标航行数据根据预设模型得到；根据多个靠泊计划和多个目标航行数据，确定目标码头的靠泊排期计划表；根据靠泊排期计划表，对多个驳船进行排期。如此，可通过区块链网络实现信息的安全共享，并结合预设模型，实现对驳船的预计到达时间等目标航行数据的预测，并通过实时更新的方式，有利于更加精确的对各个驳船的靠泊进行排期，有利于提高整个码头系统的业务周转率。
在一个可能的示例中，在所述根据所述多个目标航行数据，确定所述每一驳船的靠泊计划，得到所述多个靠泊计划方面，所述确定单元502具体可用于：根据所述驳船A对应的目标航行数据，确定所述驳船A在不同载重情况下的所述多个航行速度、目的地和预设航行路线；从所述区块链网络中同步与所述目的地相同的至少一个第一驳船，并确定每一第一驳船对应的第一航行路线，得到至少一个第一航行路线；根据所述至少一个第一航行路线、所述多个航行速度和所述预设航行路线，确定所述驳船A的靠泊计划。
本申请实施例还提供一种计算机可读存储介质，其中，该计算机可读存储介质存储用于电子数据交换的计算机程序，该计算机程序使得计算机执行如上述方法实施例中记载的任何一种基于区块链的驳船靠泊方法的部分或全部步骤。
可选的，本申请涉及的存储介质如计算机可读存储介质可以是非易失性的，也可以是易失性的。
本申请实施例还提供一种计算机程序产品，所述计算机程序产品包括存储了计算机程序的非瞬时性计算机可读存储介质，所述计算机程序可操作来使计算机执行如上述方法实施例中记载的任何一种基于区块链的驳船靠泊方法的部分或全部步骤。该计算机程序产品可以为一个软件安装包。
需要说明的是，对于前述的各方法实施例，为了简单描述，故将其都表述为一系列的动作组合，但是本领域技术人员应该知悉，本申请并不受所描述的动作顺序的限制，因为依据本申请，某些步骤可以采用其他顺序或者同时进行。其次，本领域技术人员也应该知悉，说明书中所描述的实施例均属于优选实施例，所涉及的动作和模块并不一定是本申请所必须的。
在上述实施例中，对各个实施例的描述都各有侧重，某个实施例中没有详述的部分，可以参见其他实施例的相关描述。
在本申请所提供的几个实施例中，应该理解到所揭露的装置，可通过其它的方式实现。例如，以上所描述的装置实施例仅仅是示意性的，例如所述单元的划分，仅仅为一种逻辑功能划分，实际实现时可以有另外的划分方式，例如多个单元或组件可以结合或者可以集成到另一个系统，或一些特征可以忽略，或不执行。另一点，所显示或讨论的相互之间的耦合或直接耦合或通信连接可以是通过一些接口，装置或单元的间接耦合或通信连接，可以是电性或其它的形式。
所述作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部单元来实现本实施例方案的目的。
另外，在本申请各个实施例中的各功能单元可以集成在一个处理单元中，也可以是各个单元单独物理存在，也可以两个或两个以上单元集成在一个单元中。上述集成的单元既可以采用硬件的形式实现，也可以采用软件程序模块的形式实现。
所述集成的单元如果以软件程序模块的形式实现并作为独立的产品销售或使用时，可以存储在一个计算机可读取存储器中。基于这样的理解，本申请的技术方案本质上或者说对现有技术做出贡献的部分或者该技术方案的全部或部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储器中，包括若干指令用以使得一台计算机设备（可为个人计算机、服务器或者网络设备等）执行本申请各个实施例所述方法的全部或部分步骤。而前述的存储器包括：U盘、只读存储器（read-only memory，ROM）、随机存取存储器（random access memory，RAM）、移动硬盘、磁碟或者光盘等各种可以存储程序代码的介质。
本领域普通技术人员可以理解上述实施例的各种方法中的全部或部分步骤是可以通过程序来指令相关的硬件来完成，该程序可以存储于一计算机可读存储器中，存储器可以包括：闪存盘、ROM、RAM、磁盘或光盘等。
以上对本申请实施例进行了详细介绍，本文中应用了具体个例对本申请的原理及实施方式进行了阐述，以上实施例的说明只是用于帮助理解本申请的方法及其核心思想；同时，对于本领域的一般技术人员，依据本申请的思想，在具体实施方式及应用范围上均会有改变之处，综上所述，本说明书内容不应理解为对本申请的限制。

Claims (20)

  1. 一种基于区块链的驳船靠泊方法，其中，应用于服务器，包括：
    从区块链网络中获取多个驳船中每一驳船靠泊目标码头的靠泊计划，得到多个靠泊计划；
    获取每一驳船对应的目标航行数据，得到多个目标航行数据，其中，所述多个目标航行数据根据预设模型得到；
    根据所述多个靠泊计划和所述多个目标航行数据，确定所述目标码头的靠泊排期计划表；
    根据所述靠泊排期计划表，对所述多个驳船进行排期。
  2. 根据权利要求1所述的方法，其中，在所述从区块链网络中获取多个驳船中每一驳船靠泊目标码头的靠泊计划之前，所述方法还包括：
    获取所述多个驳船中每一驳船的历史驳船航行数据，得到多个历史驳船航行数据；
    将所述多个历史驳船航行数据输入所述预设模型，得到所述每一驳船对应的目标航行数据，得到所述多个目标航行数据；
    将所述多个目标航行数据上传到所述区块链网络中；
    根据所述多个目标航行数据，确定所述每一驳船的靠泊计划，得到所述多个靠泊计划；
    将所述多个靠泊计划更新到所述区块链网络中。
  3. 根据权利要求2所述的方法，其中，若所述历史驳船航行数据包括：历史驳船航行轨迹和所述历史驳船航行轨迹对应的历史装卸船数据；若所述目标航行数据包括多个航行速度；所述方法还包括：
    根据所述历史驳船航行轨迹，确定所述多个驳船中的驳船A对应的位置信息和航行时间，所述驳船A为所述多个驳船中的任一驳船；
    将所述历史装卸船数据和所述位置信息以及所述航行时间输入所述预设模型，得到所述驳船A在不同的载重情况下对应的航行速度，得到所述多个航行速度。
  4. 根据权利要求3所述的方法，其中，所述根据所述多个目标航行数据，确定所述每一驳船的靠泊计划，得到所述多个靠泊计划，包括：
    根据所述驳船A对应的目标航行数据，确定所述驳船A在不同载重情况下的所述多个航行速度、目的地和预设航行路线；
    从所述区块链网络中同步与所述目的地相同的至少一个第一驳船，并确定每一第一驳船对应的第一航行路线，得到至少一个第一航行路线；
    根据所述至少一个第一航行路线、所述多个航行速度和所述预设航行路线，确定所述驳船A的靠泊计划。
  5. 根据权利要求4所述的方法，其中，在所述从区块链网络中同步与所述目的地相同的至少一个第一驳船之前，所述方法还包括：
    获取所述驳船A的证书信息；
    验证所述证书信息；
    若所述证书信息被验证成功，则执行从所述区块链网络中同步与所述目的地相同的至少一个第一驳船的步骤。
  6. 根据权利要求5所述的方法，其中，若所述证书信息包括公钥和签名信息；所述验证所述证书信息，包括：
    确定所述驳船A对应的标识信息；
    根据所述标志信息，确定其对应的预存公钥；
    将所述预设公钥与所述公钥进行匹配；
    若匹配成功，则验证所述签名信息；
    若所述签名信息验证成功，则确定所述证书信息被验证成功。
  7. 根据权利要求3所述的方法，其中，所述方法还包括：
    当所述驳船A离开所述目标码头以后，获取所述目标码头每一集装箱对应的装船作业信息和卸船作业信息；
    获取剩余每一驳船的装载信息；
    将所述装载信息、靠泊计划、所述装船作业信息和所述卸船作业信息输入所述预设模型中，得到剩余驳船中的每一驳船的目标预计到达时间；
    依据所述目标预计到达时间更新所述剩余驳船的靠泊排期计划表。
  8. 一种基于区块链的驳船靠泊装置，其中，应用于服务器，所述装置包括：获取单元、确定单元和排期单元，其中，
    所述获取单元，用于从区块链网络中获取多个驳船中每一驳船靠泊目标码头的靠泊计划，得到多个靠泊计划；
    所述获取单元，还用于获取每一驳船对应的目标航行数据，得到多个目标航行数据，其中，所述多个目标航行数据根据预设模型得到；
    所述确定单元，用于根据所述多个靠泊计划和所述多个目标航行数据，确定所述目标码头的靠泊排期计划表；
    所述排期单元，用于根据所述靠泊排期计划表，对所述多个驳船进行排期。
  9. 一种服务器，其中，包括处理器、通信接口、存储器以及一个或多个程序，所述处理器、通信接口和存储器相互连接，其中，所述存储器用于存储计算机程序，所述计算机程序包括程序指令，所述处理器被配置用于调用所述程序指令，执行以下方法：
    从区块链网络中获取多个驳船中每一驳船靠泊目标码头的靠泊计划，得到多个靠泊计划；
    获取每一驳船对应的目标航行数据，得到多个目标航行数据，其中，所述多个目标航行数据根据预设模型得到；
    根据所述多个靠泊计划和所述多个目标航行数据，确定所述目标码头的靠泊排期计划表；
    根据所述靠泊排期计划表，对所述多个驳船进行排期。
  10. 根据权利要求9所述的服务器，其中，在所述从区块链网络中获取多个驳船中每一驳船靠泊目标码头的靠泊计划之前，所述处理器还用于执行：
    获取所述多个驳船中每一驳船的历史驳船航行数据，得到多个历史驳船航行数据；
    将所述多个历史驳船航行数据输入所述预设模型，得到所述每一驳船对应的目标航行数据，得到所述多个目标航行数据；
    将所述多个目标航行数据上传到所述区块链网络中；
    根据所述多个目标航行数据，确定所述每一驳船的靠泊计划，得到所述多个靠泊计划；
    将所述多个靠泊计划更新到所述区块链网络中。
  11. 根据权利要求10所述的服务器，其中，若所述历史驳船航行数据包括：历史驳船航行轨迹和所述历史驳船航行轨迹对应的历史装卸船数据；若所述目标航行数据包括多个航行速度；所述处理器还用于执行：
    根据所述历史驳船航行轨迹，确定所述多个驳船中的驳船A对应的位置信息和航行时间，所述驳船A为所述多个驳船中的任一驳船；
    将所述历史装卸船数据和所述位置信息以及所述航行时间输入所述预设模型，得到所述驳船A在不同的载重情况下对应的航行速度，得到所述多个航行速度。
  12. 根据权利要求11所述的服务器，其中，执行所述根据所述多个目标航行数据，确定所述每一驳船的靠泊计划，得到所述多个靠泊计划，包括：
    根据所述驳船A对应的目标航行数据，确定所述驳船A在不同载重情况下的所述多个航行速度、目的地和预设航行路线；
    从所述区块链网络中同步与所述目的地相同的至少一个第一驳船，并确定每一第一驳船对应的第一航行路线，得到至少一个第一航行路线；
    根据所述至少一个第一航行路线、所述多个航行速度和所述预设航行路线，确定所述驳船A的靠泊计划。
  13. 根据权利要求12所述的服务器，其中，在所述从区块链网络中同步与所述目的地相同的至少一个第一驳船之前，所述处理器还用于执行：
    获取所述驳船A的证书信息；
    验证所述证书信息；
    若所述证书信息被验证成功，则执行从所述区块链网络中同步与所述目的地相同的至少一个第一驳船的步骤。
  14. 根据权利要求11所述的服务器，其中，所述处理器还用于执行：
    当所述驳船A离开所述目标码头以后，获取所述目标码头每一集装箱对应的装船作业信息和卸船作业信息；
    获取剩余每一驳船的装载信息；
    将所述装载信息、靠泊计划、所述装船作业信息和所述卸船作业信息输入所述预设模型中，得到剩余驳船中的每一驳船的目标预计到达时间；
    依据所述目标预计到达时间更新所述剩余驳船的靠泊排期计划表。
  15. 一种计算机可读存储介质，其中，所述计算机可读存储介质存储有计算机程序，所述计算机程序包括程序指令，所述程序指令当被处理器执行时使所述处理器执行以下方法：
    从区块链网络中获取多个驳船中每一驳船靠泊目标码头的靠泊计划，得到多个靠泊计划；
    获取每一驳船对应的目标航行数据，得到多个目标航行数据，其中，所述多个目标航行数据根据预设模型得到；
    根据所述多个靠泊计划和所述多个目标航行数据，确定所述目标码头的靠泊排期计划表；
    根据所述靠泊排期计划表，对所述多个驳船进行排期。
  16. 根据权利要求15所述的计算机可读存储介质，其中，在所述从区块链网络中获取多个驳船中每一驳船靠泊目标码头的靠泊计划之前，所述程序指令当被处理器执行时还使所述处理器执行：
    获取所述多个驳船中每一驳船的历史驳船航行数据，得到多个历史驳船航行数据；
    将所述多个历史驳船航行数据输入所述预设模型，得到所述每一驳船对应的目标航行数据，得到所述多个目标航行数据；
    将所述多个目标航行数据上传到所述区块链网络中；
    根据所述多个目标航行数据，确定所述每一驳船的靠泊计划，得到所述多个靠泊计划；
    将所述多个靠泊计划更新到所述区块链网络中。
  17. 根据权利要求16所述的计算机可读存储介质，其中，若所述历史驳船航行数据包括：历史驳船航行轨迹和所述历史驳船航行轨迹对应的历史装卸船数据；若所述目标航行数据包括多个航行速度；所述程序指令当被处理器执行时还使所述处理器执行：
    根据所述历史驳船航行轨迹，确定所述多个驳船中的驳船A对应的位置信息和航行时间，所述驳船A为所述多个驳船中的任一驳船；
    将所述历史装卸船数据和所述位置信息以及所述航行时间输入所述预设模型，得到所述驳船A在不同的载重情况下对应的航行速度，得到所述多个航行速度。
  18. 根据权利要求17所述的计算机可读存储介质，其中，执行所述根据所述多个目标航行数据，确定所述每一驳船的靠泊计划，得到所述多个靠泊计划，包括：
    根据所述驳船A对应的目标航行数据，确定所述驳船A在不同载重情况下的所述多个航行速度、目的地和预设航行路线；
    从所述区块链网络中同步与所述目的地相同的至少一个第一驳船，并确定每一第一驳船对应的第一航行路线，得到至少一个第一航行路线；
    根据所述至少一个第一航行路线、所述多个航行速度和所述预设航行路线，确定所述驳船A的靠泊计划。
  19. 根据权利要求18所述的计算机可读存储介质，其中，在所述从区块链网络中同步与所述目的地相同的至少一个第一驳船之前，所述程序指令当被处理器执行时还使所述处理器执行：
    获取所述驳船A的证书信息；
    验证所述证书信息；
    若所述证书信息被验证成功，则执行从所述区块链网络中同步与所述目的地相同的至少一个第一驳船的步骤。
  20. 根据权利要求17所述的计算机可读存储介质，其中，所述程序指令当被处理器执行时还使所述处理器执行：
    当所述驳船A离开所述目标码头以后，获取所述目标码头每一集装箱对应的装船作业信息和卸船作业信息；
    获取剩余每一驳船的装载信息；
    将所述装载信息、靠泊计划、所述装船作业信息和所述卸船作业信息输入所述预设模型中，得到剩余驳船中的每一驳船的目标预计到达时间；
    依据所述目标预计到达时间更新所述剩余驳船的靠泊排期计划表。
PCT/CN2021/109256 2020-11-18 2021-07-29 基于区块链的驳船靠泊方法、装置及存储介质 Ceased WO2022105296A1 (zh)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN202011290355.0 2020-11-18
CN202011290355.0A CN112330297A (zh) 2020-11-18 2020-11-18 基于区块链的驳船靠泊方法、装置及存储介质

Publications (1)

Publication Number Publication Date
WO2022105296A1 true WO2022105296A1 (zh) 2022-05-27

Family

ID=74322553

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2021/109256 Ceased WO2022105296A1 (zh) 2020-11-18 2021-07-29 基于区块链的驳船靠泊方法、装置及存储介质

Country Status (2)

Country Link
CN (1) CN112330297A (zh)
WO (1) WO2022105296A1 (zh)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN118803828A (zh) * 2024-01-30 2024-10-18 中国移动通信集团浙江有限公司 海域基站的规划方法、装置、设备及存储介质
CN120069716A (zh) * 2025-01-13 2025-05-30 交通运输部水运科学研究所 一种基于区块链的码头智能化管理方法及系统

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112330297A (zh) * 2020-11-18 2021-02-05 深圳壹账通智能科技有限公司 基于区块链的驳船靠泊方法、装置及存储介质
CN117437810B (zh) * 2023-10-25 2024-02-23 亿海蓝（北京）数据技术股份公司 船舶靠离泊时间的确定方法、装置和可读储存介质

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110133659A (zh) * 2019-05-15 2019-08-16 中国舰船研究设计中心 一种新型水面舰船辅助离靠泊引航设备及方法
CN111695856A (zh) * 2020-06-08 2020-09-22 中设设计集团股份有限公司 基于区块链智能合约的船舶信息登记方法
CN111738500A (zh) * 2020-06-11 2020-10-02 大连海事大学 一种基于深度学习的航行时间预测方法及装置
CN111754075A (zh) * 2020-05-25 2020-10-09 山东浪潮质量链科技有限公司 基于区块链的多泊位港口船舶调度方法及设备、介质
CN111914286A (zh) * 2020-06-12 2020-11-10 江苏奥畋工程科技有限公司 一种基于区块链和物联网的船舶运行数据共享方法
CN112330297A (zh) * 2020-11-18 2021-02-05 深圳壹账通智能科技有限公司 基于区块链的驳船靠泊方法、装置及存储介质

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101957917B1 (ko) * 2018-08-28 2019-03-15 주식회사 요트북 블록체인 및 ict 기반 마리나 운영 관리 서비스 제공 서버 및 시스템
KR102055880B1 (ko) * 2018-09-04 2019-12-13 박영준 선저 청소정보 제공 시스템 및 이를 이용한 선저 청소정보 제공 방법
CN110782160A (zh) * 2019-10-24 2020-02-11 中交水运规划设计院有限公司 船舶泊位分配方法、系统及装置
CN111935446B (zh) * 2020-07-01 2021-07-09 广州雄驰数字技术有限公司 基于区块链的船舶监测方法、装置、监测系统和设备

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110133659A (zh) * 2019-05-15 2019-08-16 中国舰船研究设计中心 一种新型水面舰船辅助离靠泊引航设备及方法
CN111754075A (zh) * 2020-05-25 2020-10-09 山东浪潮质量链科技有限公司 基于区块链的多泊位港口船舶调度方法及设备、介质
CN111695856A (zh) * 2020-06-08 2020-09-22 中设设计集团股份有限公司 基于区块链智能合约的船舶信息登记方法
CN111738500A (zh) * 2020-06-11 2020-10-02 大连海事大学 一种基于深度学习的航行时间预测方法及装置
CN111914286A (zh) * 2020-06-12 2020-11-10 江苏奥畋工程科技有限公司 一种基于区块链和物联网的船舶运行数据共享方法
CN112330297A (zh) * 2020-11-18 2021-02-05 深圳壹账通智能科技有限公司 基于区块链的驳船靠泊方法、装置及存储介质

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN118803828A (zh) * 2024-01-30 2024-10-18 中国移动通信集团浙江有限公司 海域基站的规划方法、装置、设备及存储介质
CN120069716A (zh) * 2025-01-13 2025-05-30 交通运输部水运科学研究所 一种基于区块链的码头智能化管理方法及系统

Also Published As

Publication number Publication date
CN112330297A (zh) 2021-02-05

Similar Documents

Publication Publication Date Title
WO2022105296A1 (zh) 基于区块链的驳船靠泊方法、装置及存储介质
US12417427B2 (en) Enforcing data consistency in a transportation network
US20200034788A1 (en) Method, system, apparatus, and program for real-time and online freight management
US20200293960A1 (en) System for simulating commodities and emulating disruptions in domain networks
Song et al. Study on berth planning problem in a container seaport: Using an integrated programming approach
Gumuskaya et al. Dynamic barge planning with stochastic container arrivals
Nam et al. A scheduling problem for a novel container transport system: a case of mobile harbor operation schedule
Ninikas et al. Reoptimization strategies for a dynamic vehicle routing problem with mixed backhauls
CN119761958B (zh) 一种多船舶的航线动态优化方法及装置
Li et al. Distributed constraint optimization for addressing vessel rotation planning problems
CN107146061B (zh) 一种基于港口多层区域的船舶挂靠事件挖掘方法及系统
US20140172738A1 (en) Knowledge based initialization for routing optimization
CN112801376A (zh) 确定船只的预计到达时间的方法、装置和存储介质
Expósito‐Izquierdo et al. Multi‐stage approach for the transshipment of import containers at maritime container terminals
CN117494854A (zh) 港口作业管理方法、装置和存储介质
Lalla-Ruiz et al. Migrating birds optimization for the seaside problems at maritime container terminals
Ansorena Operational strategies for managing container terminals. An approach based on closed queuing networks
HK40045408A (zh) 基於区块链的驳船靠泊方法、装置及存储介质
US11972386B2 (en) Framework for real-time in-transit material ownership transfer and invoicing using distributed ledger (DLT)
Sung et al. SCHEDULING ALGORITHMS FOR MOBILE HARBOR: AN EXTENDED M-PARALLEL MACHINE PROBLEM.
CN114186929B (zh) 一种运输路由确定方法、装置、设备和存储介质
Bell et al. An analysis into speed and schedule stability for container liner services
Rosa et al. Planning the berth allocation problem in developing countries with multiple cargos and cargo priority by a mathematical model and a clustering search metaheuristic
CN117973956A (zh) 一种调度方法以及装置
Boysen et al. Synchronization in hub terminals with the circular arrangement problem

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 21893448

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

32PN Ep: public notification in the ep bulletin as address of the adressee cannot be established

Free format text: NOTING OF LOSS OF RIGHTS PURSUANT TO RULE 112(1) EPC (EPO FORM 1205A DATED 22/08/2023)

122 Ep: pct application non-entry in european phase

Ref document number: 21893448

Country of ref document: EP

Kind code of ref document: A1