Intelligent wharf management method and system based on block chain
Through the intelligent dock management method based on blockchain, the dock work chain and management cover network are built, and the existing dock management system relies on manual operations and data invalidity is solved, and the automated scheduling and orderly operation of dock equipment are realized, and efficiency and security are improved.
Patent Information
- Application Number
- CN202510046593.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-13
- Publication Date
- 2025-05-30
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The existing dock management system relies on a large number of manual operations, making it difficult to realize information management, and it is difficult to ensure the effectiveness of data during the dock equipment scheduling and operation, affecting the orderly operation of the equipment.
The intelligent management method of docks based on blockchain is adopted, and the work information of docks is determined, and the work chain and management cover network of docks are constructed, and the route planning of docks is carried out based on linear planning to achieve the designation and execution of optimal transport information within the port.
It realizes the automated scheduling and orderly operation of dock equipment, improves the efficiency of dock operations, reduces operating costs, and ensures the effectiveness and safety of data.
Smart Images

Figure CN120069716A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of wharf management, and particularly relates to a wharf intelligent management method and system based on blockchain. Background Art
[0002] The construction of automated wharves is of great significance. Firstly, by adopting automated equipment to replace most manual operations, the automation of business processes and production scheduling is realized, and the wharf operation efficiency is improved; resources can be allocated and coordinated more scientifically and reasonably, effectively reducing the operation cost of the wharf and improving the operation quality; automated wharves are the only way for wharves to develop towards intelligence and wisdom, and an important stage for solidly promoting high-quality development. However, the existing wharf management still requires a large amount of manual transportation operations, making it difficult to achieve informatization without efficient equipment and route scheduling and planning functions. In addition, it is difficult to ensure the effectiveness of data during the scheduling and operation of wharf equipment, which affects the orderly operation of wharf equipment. Summary of the Invention
[0003] The purpose of the present invention is to provide a wharf intelligent management method and system based on blockchain to solve the deficiencies in the background art.
[0004] To achieve the above purpose, the present invention provides the following technical solutions: A wharf intelligent management method based on blockchain, including the following steps:
[0005] Determine multiple wharf equipment, collect the working information of the wharf equipment, where the working information includes the working form and working content, construct a wharf work chain based on the wharf equipment and the corresponding working information, and construct a wharf management network based on the wharf work chain;
[0006] Determine the wharf task information, determine the wharf equipment corresponding to the wharf task information based on the wharf work chain, and perform route planning on the multiple wharf equipment corresponding to the wharf task information based on linear programming to obtain the optimal in-port transportation information, where the optimal in-port transportation information includes the wharf equipment with the optimal in-port transportation and the corresponding route;
[0007] Specify the optimal in-port transportation information to the corresponding wharf equipment as the target wharf equipment through the wharf management network, and complete the wharf task information by the target wharf equipment according to the optimal in-port transportation information.
[0008] In a preferred embodiment, the step of constructing a wharf work chain based on the wharf equipment and the corresponding working information and constructing a wharf management network based on the wharf work chain includes:
[0009] Identify multiple terminal devices working in the terminal. The corresponding working forms and working contents of the terminal devices are collected as working information. Among them, the working form includes the device type and device number of the terminal device, and the working content includes multiple working parameters of the terminal device;
[0010] Formulate a terminal work process, classify multiple terminal devices according to the corresponding working information and correspond them to the terminal work process to obtain a terminal work chain;
[0011] Build a terminal management network based on the terminal work chain.
[0012] In a preferred embodiment, the step of building a terminal management network based on the terminal work chain includes:
[0013] Obtain the working area of the terminal work chain, and build a map based on the working area of the terminal work chain to obtain a terminal map;
[0014] Build a three-dimensional model of the working area of the terminal work, build a representative model of the terminal device, build the representative model in the three-dimensional model to obtain a terminal model, and establish a synchronization relationship between the terminal device and the representative model;
[0015] Establish a correspondence relationship between the terminal map and the terminal model, set multiple control sub-labels on the terminal map, and establish a communication relationship with the representative model in the terminal model through the control sub-labels to obtain a terminal management network.
[0016] In a preferred embodiment, the steps of establishing a correspondence relationship between the terminal map and the terminal model, setting multiple control sub-labels on the terminal map, and establishing a communication relationship with the representative model in the terminal model through the control sub-labels include:
[0017] Configure multiple control sub-labels corresponding to the terminal map. The number of control sub-labels is the same as the number of representative models, and bind between the control sub-labels and the representative models;
[0018] Configure corresponding cloud servers for the control sub-labels and use them as blockchain nodes, and connect multiple blockchain nodes based on the connection protocol to obtain a blockchain;
[0019] Set an information confirmation panel corresponding to the blockchain in the terminal map, and communicate and connect the blockchain nodes with the representative models respectively based on the information confirmation panel.
[0020] In a preferred embodiment, the steps of setting an information confirmation panel corresponding to the blockchain in the terminal map and communicating and connecting the blockchain nodes with the representative models respectively based on the information confirmation panel include:
[0021] Connect multiple blockchain nodes to an information confirmation board. The information confirmation board includes a confirmation layer and multiple information layers. The number of information layers is the same as the number of blockchain nodes and they are bound one by one. Both the confirmation layer and the information layers are divided into the same number of information cells. The multiple information layers correspond to each other through the information cells up and down. The number of information cells is the same as the number of blockchain nodes, and the multiple information layers are connected to the confirmation layer.
[0022] Formulate a transmission rule for the corresponding information confirmation board, and connect the information cells in the confirmation layer to the corresponding representative models for communication respectively.
[0023] In a preferred embodiment, the steps of determining the terminal task information, determining the terminal equipment corresponding to the terminal task information based on the terminal work chain, and performing route planning on the multiple terminal equipment corresponding to the terminal task information based on linear programming to obtain the optimal in-port transportation information include:
[0024] Confirm the terminal task information, determine the terminal work process corresponding to the terminal task information, and determine the terminal equipment corresponding to the terminal work process based on the terminal work chain;
[0025] Perform route planning on the terminal task information based on the terminal map;
[0026] Establish the objective function of the linear programming for the minimum cost of in-port transportation of goods: minB = ∑(g r ×s d ), where g r represents the daily operation volume of the terminal equipment, and s d is the operation cost of the terminal equipment. Calculate all the terminal equipment corresponding to the terminal work process using the objective function;
[0027] Set the constraint conditions, where the constraint conditions are respectively the daily maximum in-port transportation volume T required on-site and the upper limit V of the available number of terminal equipment;
[0028] minT μ =∑(g r ×z d ), where z d is the in-port transportation capacity of the equipment, and minT μ ≥T;
[0029] Solve the above objective function, and select the terminal equipment with the optimal in-port transportation that satisfies the constraint conditions;
[0030] Take the terminal equipment with the optimal in-port transportation and the corresponding route as the optimal in-port transportation information.
[0031] In a preferred embodiment, the step of designating the optimal in-port transportation information to the corresponding terminal equipment as the target terminal equipment through the terminal management network and completing the terminal task information by the target terminal equipment according to the optimal in-port transportation information includes:
[0032] Store the optimal in-port transportation information in the blockchain, and transmit the optimal in-port transportation information to the information cells in the corresponding information layer through the blockchain nodes for data tiling;
[0033] Compare the optimal in-port transportation information of the information cells in multiple information layers to obtain a comparison result. If the comparison result meets the transmission rule, transmit the optimal in-port transportation information in the information cell corresponding to the transmission rule that is met to the corresponding information cell in the confirmation layer;
[0034] Transmit the optimal in-port transportation information to the corresponding representative model through the information cell, and use the terminal equipment corresponding to the representative model as the target terminal equipment;
[0035] Send the optimal in-port transportation information to the corresponding target terminal equipment through the representative model, and complete the terminal task information by the target terminal equipment according to the optimal in-port transportation information.
[0036] The present invention also provides a terminal intelligent management system based on the blockchain, including:
[0037] A construction module, configured to determine multiple terminal equipment, collect the working information of the terminal equipment, where the working information includes the working form and the working content, construct a terminal work chain based on the terminal equipment and the corresponding working information, and construct a terminal management network based on the terminal work chain;
[0038] A planning module, connected to the construction module, configured to determine the terminal task information, determine the terminal equipment corresponding to the terminal task information based on the terminal work chain, and perform route planning on the multiple terminal equipment corresponding to the terminal task information based on linear programming to obtain the optimal in-port transportation information, where the optimal in-port transportation information includes the terminal equipment with the optimal in-port transportation and the corresponding route;
[0039] An operation module, connected to the planning module, configured to designate the optimal in-port transportation information to the corresponding terminal equipment as the target terminal equipment through the terminal management network, and complete the terminal task information by the target terminal equipment according to the optimal in-port transportation information.
[0040] In the above technical solution, the technical effects and advantages provided by the present invention:
[0041] The present invention can perform linear programming on terminal equipment according to the tasks of the terminal, achieve the optimality of scheduling, and enable the terminal equipment to work according to the planned route, realizing the orderliness of equipment scheduling; the planned route is transmitted to the corresponding representative model through the information grid in the confirmation layer, so that in the follow-up, the corresponding actual terminal equipment can be directly started to work through the representative model, and the operation of the terminal equipment can be displayed in the terminal model through the representative model, ensuring the orderly operation of the unmanned terminal. BRIEF DESCRIPTION OF THE DRAWINGS
[0042] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the accompanying drawings required for use in the embodiments. Obviously, the accompanying drawings in the following description are only some embodiments recorded in the present invention, and those of ordinary skill in the art can also obtain other accompanying drawings based on these drawings.
[0043] Figure 1 It is a flowchart of the method of the present invention.
[0044] Figure 2 It is a system block diagram of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS
[0045] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art without creative efforts based on the embodiments of the present invention belong to the scope of protection of the present invention.
[0046] Embodiment 1, please refer to Figure 1 As shown, a blockchain-based intelligent terminal management method in this embodiment includes the following steps:
[0047] S1. Determine multiple terminal devices, collect the working information of the terminal devices, where the working information includes the working form and the working content, construct a terminal work chain based on the terminal devices and the corresponding working information, and construct a terminal management network based on the terminal work chain;
[0048] S2. Determine the terminal task information, determine the terminal devices corresponding to the terminal task information based on the terminal work chain, and perform route planning on the multiple terminal devices corresponding to the terminal task information through linear programming to obtain the optimal in-port transportation information, where the optimal in-port transportation information includes the terminal devices with the optimal in-port transportation and the corresponding routes;
[0049] S3. Designate the optimal in-port transportation information to the corresponding terminal equipment as the target terminal equipment through the terminal management network, and complete the terminal task information through the target terminal equipment according to the optimal in-port transportation information;
[0050] As described in the above steps S1 - S3, the construction of an automated terminal is of great significance. First, by using automated equipment to replace most manual operations, the automation of business processes and production scheduling is achieved, improving the terminal operation efficiency; resources can be allocated and coordinated more scientifically and reasonably, effectively reducing the terminal operation cost and improving the operation quality; the automated terminal is the only way for the terminal to develop towards intelligence and wisdom, and an important stage for solidly promoting high-quality development. However, the existing terminal management still requires a large amount of manual transportation operations, making it difficult to achieve informatization without efficient equipment and route scheduling and planning functions. In addition, it is difficult to ensure the effectiveness of data during the scheduling and operation of terminal equipment, which affects the orderly operation of terminal equipment. And this application can perform linear programming on terminal equipment according to the tasks of the terminal, achieving the optimality of scheduling, enabling the terminal equipment to work according to the planned route, and realizing the orderly operation of equipment scheduling; the planned route is transmitted to the corresponding representative model through the information grid in the confirmation layer, so that in the follow-up, the corresponding actual terminal equipment can be directly started to work through the representative model, and the operation of the terminal equipment can be displayed in the terminal model through the representative model, ensuring the orderly operation of the unmanned terminal.
[0051] In one embodiment, step S1 of constructing a terminal work chain based on terminal equipment and corresponding work information and constructing a terminal management network based on the terminal work chain includes:
[0052] S11. Determine multiple terminal equipment working in the terminal, and collect the corresponding working forms and working contents of the corresponding terminal equipment as work information. Among them, the working form includes the equipment type and equipment number of the terminal equipment, and the working content includes multiple working parameters of the terminal equipment;
[0053] S12. Formulate a terminal work process, classify multiple terminal equipment according to the corresponding work information and correspond them to the terminal work process to obtain a terminal work chain;
[0054] S13. Construct a terminal management network based on the terminal work chain;
[0055] As described in the above steps S11 - S13, the equipment for dock work all belongs to the equipment under the management of the dock. There are multiple dock equipment in the dock. For the corresponding dock equipment, the corresponding working forms are collected (for example, there are various dock equipment such as loading and unloading equipment and loading and transporting equipment in the dock. Here, they are regarded as different equipment types, and there are corresponding equipment numbers for equipment with different types. There are also multiple equipment with the same equipment type, and they also have corresponding equipment codes) and working contents (the working contents include multiple working parameters of the dock equipment). There is a working process in dock work. For example, processes such as the loading, unloading, transportation of goods, and the transfer in the intermediate process are involved to complete the circulation process of goods in the dock. Then, according to the working information of the dock equipment, the dock equipment is classified according to the process, and the dock equipment is corresponding to the dock working process to obtain a dock work chain, which can better sort out the working process relationship between multiple dock equipment and facilitate the subsequent task allocation and route planning for the dock equipment.
[0056] In one embodiment, step S13 of constructing a dock management coverage network based on the dock work chain includes:
[0057] S131. Obtain the working area of the dock work chain, and construct a dock map based on the working area of the dock work chain.
[0058] S132. Construct a three - dimensional model of the working area of the dock work, construct a representative model of the dock equipment, build the representative model in the three - dimensional model to obtain a dock model, and establish a synchronization relationship between the dock equipment and the representative model.
[0059] S133. Establish a corresponding relationship between the dock map and the dock model, set multiple control sub - marks on the dock map, and establish a communication relationship with the representative model in the dock model through the control sub - marks to obtain a dock management coverage network.
[0060] As described in the above steps S131 - S133, during the cargo handling process at the dock, the dock equipment has corresponding working areas. For example, in a pile of goods, it is necessary to load the goods onto the transportation equipment through the loading equipment and transport the goods to the ship through the transportation equipment. Then, the working area of the loading equipment will move within the area where the goods are stacked, and the transportation equipment will move between the stacked goods and the dock ship. As the working area, the working area of the dock work chain is the working areas of all dock equipment in the corresponding process during the dock work process. Then, a dock map is constructed based on the scope of the dock and the internal geographical features, and the working areas of the dock equipment in the corresponding work process are marked on the dock map. Then, a 3D model is constructed through the dock scope and geographical features to display the status of the actual dock equipment. A representative model is constructed for the corresponding dock equipment. Here, the representative model can be used as a marker point in the 3D model. Then, an information synchronization relationship is established between the dock equipment and the representative model, enabling the synchronization of various working information such as the position and moving speed of the dock equipment to the representative model. At the same time, the corresponding dock equipment can also be controlled to operate through the representative model. The dock equipment is used to synchronize the working data to the representative model for display, and the representative model is used to control the corresponding dock equipment to work later. A corresponding cloud server is configured for the representative model. The dock equipment serves as a data collection port, and a communication connection is established between the data collection port and the corresponding cloud server. Through the data collection port, the real-time working information of the dock equipment (such as position, moving speed, and the amount of goods transported in the port, etc., related working information) can be obtained and transmitted to the cloud server in real time. The real-time working information of the actual dock equipment is displayed through the representative model in the dock model. Then, the dock map is placed on top of the dock model as the data layer and corresponds up and down according to the corresponding positions to obtain the corresponding relationship between the dock map and the dock model. Multiple control sub - labels are set on the dock map, and a communication relationship is established with the representative model through the multiple control sub - labels, facilitating subsequent route planning and coordination of the dock equipment, greatly improving the smoothness of dock unmanned work and ensuring the orderly progress of transportation work.
[0061] In one embodiment, step S133 of establishing the corresponding relationship between the dock map and the dock model, setting multiple control sub - labels on the dock map, and establishing a communication relationship with the representative model in the dock model includes:
[0062] S1331. Configure multiple control sub - labels corresponding to the dock map. The number of control sub - labels is the same as the number of representative models, and bind between the control sub - labels and the representative models;
[0063] S1332. Configure corresponding cloud servers for the control sub - labels and serve as blockchain nodes, and connect multiple blockchain nodes based on the connection protocol to obtain a blockchain;
[0064] S1333. Corresponding to the blockchain setting information confirmation board in the dock map, connect the blockchain nodes to the representative models respectively based on the information confirmation board;
[0065] In one embodiment, step S1333 of corresponding to the blockchain setting information confirmation board in the dock map and connecting the blockchain nodes to the representative models respectively based on the information confirmation board includes:
[0066] S13331. Connect all the blockchain nodes to the information confirmation board. The information confirmation board includes a confirmation layer and multiple information layers. The number of information layers is the same as that of the blockchain nodes and they are bound one by one. Both the confirmation layer and the information layers are divided into the same number of information cells. The multiple information layers correspond to each other through the information cells up and down. The number of information cells is the same as that of the blockchain nodes, and the multiple information layers are connected to the confirmation layer;
[0067] S13332. Formulate a transmission rule corresponding to the information confirmation board, and connect the information cells in the confirmation layer to the corresponding representative models respectively;
[0068] As described in the above steps S1331 - S1333, multiple control sub - labels are configured corresponding to the dock map. Each control sub - label can manage the subsequent route planning in the dock map. The number of control sub - labels is the same as the number of representative models. The representative control sub - label and the dock equipment have a one - to - one control relationship. Then, the control sub - label is bound to the representative model, which means that it can complete the route obtained by the subsequent linear programming between the control sub - label and the dock equipment. A corresponding cloud server is configured for the control sub - label and used as a blockchain node. This is the implementation basis for the control sub - label to achieve the above functions. Then, based on the connection protocol, multiple blockchain nodes are connected to obtain a blockchain, which can ensure data security. Then, an information confirmation panel is set in the dock map corresponding to the blockchain. The information confirmation panel is communicatively connected to all blockchain nodes in the blockchain. There are multiple information layers and a single confirmation layer in the information confirmation panel. The number of information layers is the same as the number of blockchain nodes. Both the confirmation layer and the information layers are divided into the same number of information cells. One information cell corresponds to the route information of one dock equipment in the future. The multiple information layers correspond to each other through the information cells up and down. Here, the information cell is a data tiling layer, which can tile all the route data of the dock equipment transmitted by the subsequent blockchain nodes in the information cells. In this way, the information cells in the upper and lower layers can determine whether there are differences in information, ensuring the security of information transmission. The number of information cells is the same as the number of blockchain nodes. The multiple information layers are connected to the confirmation layer. Then, the routes that meet the transmission rules are transmitted to the corresponding information cells in the confirmation layer. Through the information cells in the confirmation layer, the planned routes are transmitted to the corresponding representative models. In this way, in the future, the corresponding actual dock equipment can be directly started to work through the representative model. Through the representative model, the operation of the dock equipment can be displayed in the dock model, ensuring the orderly operation of the unmanned dock.
[0069] In one embodiment, the step S2 of determining the dock task information, determining the dock equipment corresponding to the dock task information based on the dock work chain, and performing route planning on the multiple dock equipment corresponding to the dock task information based on linear programming to obtain the optimal in - port transportation information includes:
[0070] S21. Confirm the dock task information, determine the dock work process corresponding to the dock task information, and determine the dock equipment corresponding to the dock work process based on the dock work chain;
[0071] S22. Perform route planning on the dock task information based on the dock map;
[0072] S23. Establish the objective function of the linear programming for the minimum cost of in - port transportation of goods: minB = ∑(g r ×s d ), where g r represents the daily operation volume of the dock equipment, and s dRegarding the operating costs of terminal equipment, the terminal equipment corresponding to the terminal work process is calculated using the objective function;
[0073] S24. Set the constraint conditions, where the constraint conditions are the daily maximum in-port transportation volume T required on-site and the upper limit V of the available number of terminal equipment;
[0074] minT μ = ∑(g r ×z d ), where z d is the in-port transportation capacity of the equipment, and minT μ ≥ T;
[0075] S25. Solve the above objective function, and select the terminal equipment with the optimal in-port transportation corresponding to the objective function that satisfies the constraint conditions;
[0076] S26. Take the terminal equipment with the optimal in-port transportation and the corresponding route as the optimal in-port transportation information;
[0077] In one embodiment, step S3 of designating the optimal in-port transportation information to the corresponding terminal equipment as the target terminal equipment through the terminal management network and having the target terminal equipment complete the terminal task information according to the optimal in-port transportation information includes:
[0078] S31. Store the optimal in-port transportation information in the blockchain, and transmit the optimal in-port transportation information to the information cells in the corresponding information layer through the blockchain nodes for data tiling;
[0079] S32. Compare the optimal in-port transportation information in the information cells of multiple information layers to obtain a comparison result. If the comparison result meets the transmission rules, transmit the optimal in-port transportation information in the information cells corresponding to the transmission rules to the corresponding information cells in the confirmation layer;
[0080] S33. Transmit the optimal in-port transportation information to the corresponding representative model through the information cell, and take the terminal equipment corresponding to the representative model as the target terminal equipment;
[0081] S34. Transmit the optimal in-port transportation information to the corresponding target terminal equipment through the representative model, and have the target terminal equipment complete the terminal task information according to the optimal in-port transportation information;
[0082] As described in the above steps S31 - S34, the optimal in - port transportation information of all terminal equipment is stored in the blockchain nodes. The optimal in - port transportation information here may involve the work of multiple terminal equipment. When storing it in the blockchain nodes, based on the terminal equipment, the optimal in - port transportation information is separated to obtain the optimal in - port transportation information of a single terminal equipment for split storage. Therefore, through all the blockchain nodes in the blockchain, the optimal in - port transportation information is transmitted to the information cells in the corresponding information layer. The information cells correspond to the terminal equipment. The optimal in - port transportation information of a single terminal equipment is stored in the information cells in the corresponding information layer of the blockchain node. The optimal in - port transportation information of a single terminal equipment of multiple blockchain nodes is stored in the corresponding information layer. The optimal in - port transportation information is transmitted to the information cells in the corresponding information layer through the blockchain node for data tiling. The operation method is as follows: Set multiple information adsorption points in the information cell, set the information adsorption amount of the information adsorption points, and split - adsorb the optimal in - port transportation information of a single terminal equipment through the multiple information adsorption points in the information cell. Here, the splitting is in order. After that, the optimal in - port transportation information of the information cells in multiple information layers can be compared to obtain a comparison result. If the comparison result meets the transmission rule (the transmission rule is that the information cells in multiple information layers with consistent comparison results meet the preset quantity. For example, there are 10 information layers, and among them, the comparison results between the corresponding information cells in 8 information layers are the same, then it meets the transmission rule), the optimal in - port transportation information in the information cells corresponding to the transmission rule (the optimal in - port transportation information with the same comparison results between the corresponding information cells in 8 information layers) is transmitted to the corresponding information cells in the confirmation layer. The optimal in - port transportation information is sent to the corresponding target terminal equipment through the representative model. The target terminal equipment completes the terminal task information according to the optimal in - port transportation information. The information confirmation panel is set at the transmission position near the representative model. Since the blockchain is stored in the cloud, it can ensure the security of the information transmission process, better ensure the stability of the unmanned automated operation of the terminal equipment, and better execute the path of linear programming to complete the terminal task.
[0083] Example 2, please refer to Figure 2 As shown, the intelligent terminal management system based on blockchain described in this example includes:
[0084] A construction module, used to determine multiple terminal equipment, collect the working information of the terminal equipment. Among them, the working information includes the working form and the working content. Based on the terminal equipment and the corresponding working information, a terminal work chain is constructed, and a terminal management network is constructed based on the terminal work chain.
[0085] A planning module, connected to the construction module, is used to determine terminal task information, determine the terminal equipment corresponding to the terminal task information based on the terminal work chain, and perform route planning on multiple terminal equipment corresponding to the terminal task information based on linear programming to obtain the optimal in-port transportation information. The optimal in-port transportation information includes the terminal equipment with the optimal in-port transportation and the corresponding route.
[0086] An operation module, connected to the planning module, is used to specify the optimal in-port transportation information to the corresponding terminal equipment as the target terminal equipment through the terminal management network, and complete the terminal task information through the target terminal equipment according to the optimal in-port transportation information.
[0087] In the management of terminal cargo transportation, the cargo usually exists in the form of containers. In the scenario of the automation transformation of container terminals, the application requirements of informatization and intelligence at the system layer and equipment layer are studied, and the application requirements are analyzed for matching with the equipment and capabilities. Combining the data processing and analysis capabilities of the original perception information, a capability matching matrix of application requirements and technology supply is formed, which can better complete the automated operation of unmanned terminals and has a good role in terminal management.
[0088] The above is only the specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present application can easily think of changes or substitutions, which should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claimed rights.
Claims
1. A blockchain-based intelligent terminal management method, characterized in that: The following steps are involved: Determine multiple terminal equipment, collect working information of the terminal equipment, wherein the working information includes working form and working content, construct a terminal working chain based on the terminal equipment and the corresponding working information, and construct a terminal management network based on the terminal working chain; Determine the terminal task information, determine the terminal equipment corresponding to the terminal task information based on the terminal work chain, and perform route planning for multiple terminal equipment corresponding to the terminal task information based on linear programming to obtain optimal in-port transportation information, wherein the optimal in-port transportation information includes the optimal in-port transportation terminal equipment and the corresponding route; The optimal in-port transportation information is assigned to the corresponding terminal equipment as the target terminal equipment through the terminal management network, and the terminal task information is completed according to the optimal in-port transportation information through the target terminal equipment.
2. According to the blockchain-based intelligent terminal management method of claim 1, it is characterized by: The steps of constructing a dock work chain based on the dock equipment and the corresponding work information, and constructing a dock management cover network based on the dock work chain include: Determine multiple terminal equipment working in the terminal, and collect corresponding working forms and working contents of the corresponding terminal equipment as working information, wherein the working form includes the equipment type and equipment number of the terminal equipment, and the working content includes multiple working parameters of the terminal equipment; Formulate the terminal work process, classify multiple terminal equipment according to the corresponding work information and correspond them to the terminal work process to obtain the terminal work chain; Build a dock management network based on the dock work chain.
3. According to the blockchain-based intelligent terminal management method of claim 2, it is characterized by: The steps of constructing a dock management cover network based on the dock work chain include: Obtain the working area of the dock working chain, and construct a map based on the working area of the dock working chain to obtain a dock map; Construct a three-dimensional model of the working area of the dock, construct a representative model of the dock equipment, construct the representative model in the three-dimensional model to obtain the dock model, and establish a synchronous relationship between the dock equipment and the representative model; A corresponding relationship between the wharf map and the wharf model is established, a plurality of control sub-labels are set on the wharf map, and a communication relationship with a representative model in the wharf model is established through the control sub-labels to obtain a wharf management network.
4. According to the blockchain-based intelligent terminal management method of claim 3, it is characterized by: The step of establishing a corresponding relationship between the wharf map and the wharf model, setting a plurality of control sub-labels on the wharf map, and establishing a communication relationship with a representative model in the wharf model through the control sub-labels includes: Configure multiple control sub-labels corresponding to the dock map. The number of control sub-labels is the same as the number of representative models. Bind the control sub-labels to the representative models. The corresponding cloud server is configured with the corresponding control sub-token and used as a blockchain node. Based on the connection protocol, multiple blockchain nodes are connected to obtain a blockchain; An information confirmation disk is set up corresponding to the blockchain in the dock map, and the blockchain nodes are respectively connected to the representative models for communication based on the information confirmation disk.
5. According to the blockchain-based intelligent terminal management method of claim 4, it is characterized by: The step of setting an information confirmation disk corresponding to the blockchain in the dock map, and communicating and connecting the blockchain nodes with the representative models respectively based on the information confirmation disk includes: Connecting multiple blockchain nodes to an information confirmation disk, wherein the information confirmation disk includes a confirmation layer and multiple information layers, wherein the number of information layers is the same as the number of blockchain nodes and are bound one-to-one, the confirmation layer and the information layer are divided into the same multiple information grids, the multiple information layers correspond to each other through the information grids, the number of information grids is the same as the number of blockchain nodes, and the multiple information layers are connected to the confirmation layer; Transmission rules are formulated for the corresponding information confirmation disk, and the information grids in the confirmation layer are respectively connected to the corresponding representative models for communication.
6. The method for intelligent management of a terminal based on blockchain according to claim 1, characterized in that: The steps of determining the terminal task information, determining the terminal equipment corresponding to the terminal task information based on the terminal work chain, and performing route planning for multiple terminal equipment corresponding to the terminal task information based on linear programming to obtain optimal in-port transportation information include: Confirm the dock task information, determine the dock workflow corresponding to the dock task information, and determine the dock equipment corresponding to the dock workflow based on the dock work chain; Route planning for dock mission information based on dock map; The objective function of the linear programming for the minimum cost of cargo transportation in the port is established: minB = ∑(g r ×s d ), where g r Indicates the daily operation volume of terminal equipment, s d For the terminal equipment operation cost, all the terminal equipment corresponding to the terminal work process are calculated using the objective function; Set constraints, where the constraints are the maximum daily in-port transportation volume T required on site and the upper limit of the number of available terminal equipment V; minT μ =∑(g r × d ), where z d is the equipment transport capacity in the port, minT μ ≥T; Solve the above objective function and find the optimal terminal equipment for in-port transportation corresponding to the objective function that meets the constraints; The optimal terminal equipment and corresponding routes for intra-port transportation are used as the optimal intra-port transportation information.
7. The method for intelligent management of a terminal based on blockchain according to claim 1, characterized in that: The step of assigning the optimal in-port transportation information to the corresponding terminal equipment as the target terminal equipment through the terminal management network, and completing the terminal task information according to the optimal in-port transportation information through the target terminal equipment includes: The optimal in-port transportation information is stored in the blockchain, and the optimal in-port transportation information is transmitted to the information grid in the corresponding information layer through the blockchain node for data tiling; The optimal in-port transportation information of the information grids in the multiple information layers is compared to obtain a comparison result. If the comparison result satisfies the transmission rule, the optimal in-port transportation information in the information grid corresponding to the transmission rule is transmitted to the corresponding information grid in the confirmation layer; The optimal in-port transportation information is transmitted to the corresponding representative model through the information grid, and the terminal equipment corresponding to the representative model is used as the target terminal equipment; The optimal in-port transportation information is sent to the corresponding target terminal equipment through the representative model, and the terminal task information is completed by the target terminal equipment according to the optimal in-port transportation information.
8. A blockchain-based terminal intelligent management system, used to implement a blockchain-based terminal intelligent management method according to any one of claims 1 to 7, characterized in that: include: A construction module is used to determine a plurality of terminal equipments, collect working information of the terminal equipments, wherein the working information includes working form and working content, construct a terminal working chain based on the terminal equipments and the corresponding working information, and construct a terminal management network based on the terminal working chain; The planning module is connected with the construction module and is used to determine the terminal task information, determine the terminal equipment corresponding to the terminal task information based on the terminal work chain, and perform route planning for multiple terminal equipment corresponding to the terminal task information based on linear planning to obtain the optimal in-port transportation information, wherein the optimal in-port transportation information includes the optimal in-port transportation terminal equipment and the corresponding route; The operation module is connected with the planning module and is used to assign the optimal in-port transportation information to the corresponding terminal equipment as the target terminal equipment through the terminal management network, and complete the terminal task information according to the optimal in-port transportation information through the target terminal equipment.
Citation Information
Patent Citations
Intelligent scheduling method, system and equipment for container in-port transfer and storage medium
CN115049325A
Intelligent scheduling algorithm, system and device for container in-port transfer and storage medium
CN115983603A
General wharf equipment scheduling management system
CN117709667A
Blockchain-based barge berthing method and apparatus, and storage medium
WO2022105296A1