Unmanned processing method and system for intelligent cargo station of airport
Through self-service terminals and online platforms combined with unmanned equipment, the processing capability problem of airport smart cargo stations when handling complex processes of different types of goods is solved, efficient and accurate cargo processing and resource optimization are achieved, and customers are enhanced. Satisfaction and system adaptability.
Patent Information
- Application Number
- CN202411271452.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-11
- Publication Date
- 2025-01-07
AI Technical Summary
The existing airport smart cargo station processing methods cannot effectively handle the complex and diverse inbound and outbound processes of different types of cargo, resulting in the system's processing capacity deterioration during busy periods.
Use self-service terminals and online platforms to submit cargo information, combined with unmanned forklifts, unmanned tractors and forklift AGVs and other automation equipment to realize unmanned operation of goods throughout the process, from submission, classification, security inspection, weighing, storage to outgoing The database and port-entry processing are carried out through intelligent systems for differentiated processing and warehouse location optimization.
It improves processing efficiency and accuracy, reduces labor costs, enhances security, optimizes resource allocation, improves customer experience, and enhances system flexibility and scalability.
Smart Images

Figure CN119273299A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of airport cargo terminal automation technology, and in particular to an unmanned processing method and system for an airport smart cargo terminal. Background Art
[0002] With the rapid development of the global aviation logistics industry, airport cargo terminals, as key nodes in logistics transportation, are crucial to the smooth operation of the overall logistics chain in terms of processing efficiency and service quality. However, the traditional airport cargo terminal processing method is highly dependent on manual operation, which is not only inefficient, but also prone to errors and difficult to cope with the growing logistics demand. Especially during peak hours, manual operation is prone to cargo backlogs, delays and damage, which seriously affects logistics efficiency and customer satisfaction.
[0003] In recent years, with the rapid development of technologies such as artificial intelligence, the Internet of Things, and big data, smart logistics has become an important development direction for the logistics industry. Smart logistics integrates advanced information technology to achieve intelligent, automated, and efficient logistics processes, effectively improving logistics efficiency and service quality. As an important part of smart logistics, the research and application of unmanned processing methods for airport smart cargo terminals have important practical significance and broad application prospects.
[0004] At present, the research on airport smart cargo terminals at home and abroad mainly focuses on the following aspects:
[0005] 1) Automated sorting and transmission system: By introducing automated sorting equipment and transmission systems, the goods can be quickly and accurately sorted and transmitted, improving the handling efficiency of the cargo station. For example, the I CS automated transmission system can achieve high-speed transmission and final sorting, significantly improving logistics efficiency;
[0006] 2) Intelligent robots and unmanned vehicles: Use AGV (automatic guided vehicles), unmanned forklifts and other intelligent robot equipment to achieve automatic handling and storage of goods, reduce manual intervention, and improve operation accuracy and safety. Intelligent vehicles such as ULD-AGV can accurately deliver goods to designated locations, greatly improving the automation level of logistics operations;
[0007] 3) Intelligent information collection and identification technology: Through intelligent information collection and identification technologies such as DWS (Dimension Weight Scanning) system, RFID (Radio Frequency Identification), barcode scanning, etc., automatic five-sided code reading, automatic weighing and volume measurement of goods can be realized, improving the accuracy and efficiency of information collection;
[0008] 4) Unmanned security inspection and tallying system: Utilize advanced security inspection equipment and tallying system to realize unmanned security inspection and tallying of goods, reduce manual intervention, and improve security inspection efficiency and accuracy. At the same time, by introducing intelligent dispatching system, autonomous dispatching and collaborative operation of unmanned vehicles can be realized, further improving logistics efficiency;
[0009] 5) Smart management platform: By building a smart management platform, we can achieve real-time monitoring, data analysis and management optimization of the entire process of the airport cargo terminal, and improve the overall operational efficiency and management level of the cargo terminal. The smart management platform can achieve seamless connection with logistics companies, order systems and data analysis systems, and provide logistics companies with real-time distribution statistics and business optimization suggestions.
[0010] However, despite many research results and technical applications, the unmanned processing methods of airport smart cargo terminals still face many challenges. For example, the existing airport cargo terminal processing methods cannot handle the complex and diverse entry and exit processes of different types of goods, which greatly reduces the processing capacity of the airport cargo system when the airport cargo system is busy. Summary of the invention
[0011] The purpose of the present invention is to provide an unmanned processing method and system for an airport smart cargo terminal, aiming to solve the problem that the existing airport cargo terminal processing method is unable to handle the complex and diverse entry and exit processes of different types of cargo, resulting in a significant reduction in the system's processing capacity when the airport cargo system is busy.
[0012] The embodiments of the present invention are implemented by the following technical solutions:
[0013] An unmanned processing method for an airport smart cargo terminal comprises the following steps:
[0014] The cargo owner submits the information of the cargo to be shipped through the self-service terminal or online platform, and places the cargo to be shipped in the designated area by himself;
[0015] Classify the cargo to be shipped according to the cargo information provided by the cargo owner and the actual situation of the cargo to be shipped;
[0016] The classified goods to be shipped are barcoded and sent to the security inspection area for safety inspection. The unmanned forklift transports the goods to be shipped after security inspection to the weighbridge for weighing. The weighed goods to be shipped are then transported to the corresponding storage location to wait for shipment.
[0017] Cargoes that have been shipped out of the warehouse are grouped and palletized, and then transported to the designated temporary storage area on the apron by unmanned tractors, where they are loaded and shipped out of the port.
[0018] After the goods arrive at the port, the unmanned tractor will transport the goods from the designated area of the apron to the tallying area of the cargo terminal for tallying. According to the requirements of the cargo owner, the sorted goods will be palletized and transported to the pre-allocated warehouse by forklift AGV for storage, waiting for the cargo owner to pick up the goods.
[0019] The cargo owner sends a pick-up request through the self-service terminal or online platform, and the forklift AGV transports the incoming cargo to the designated location on the platform and completes the pick-up of the incoming cargo.
[0020] Optionally, when classifying the cargo to be shipped out, the cargo to be shipped out is divided into large cargo and standard cargo.
[0021] Optionally, the classified goods to be shipped are barcoded and sent to the security inspection area for safety inspection, the goods to be shipped after security inspection are transported to the weighbridge for weighing by an unmanned forklift, and the weighed goods to be shipped are transported to the corresponding storage location, and the specific process of waiting for shipment is as follows:
[0022] After the outbound cargo is classified, the large cargo and standard cargo are barcoded separately;
[0023] Read the barcodes of large cargo, transport the read large cargo to the security roller docking position by an unmanned forklift, conduct safety inspection on the large cargo by a special X-ray machine for large cargo, move the safe large cargo obtained after the safety inspection to the floor scale by an unmanned forklift for weighing, and move the weighed safe large cargo to the large cargo storage position by a forklift AGV to wait for delivery; unpack and inspect suspicious large cargo obtained after the safety inspection;
[0024] The barcoded standard goods are transported to the 360-degree automatic barcode reading device via a conveyor belt for barcode reading, and then transported to the X-ray machine via a conveyor belt for safety inspection. The safety standard goods obtained after the safety inspection are stacked and transported to the scale by an unmanned forklift for weighing and allocation of storage locations. The weighed safety standard goods are moved to the designated storage location by a forklift AGV for storage and wait for delivery. The suspicious standard goods obtained after the safety inspection are transported to the cargo receiving and transportation office via the cargo return conveyor line for unpacking inspection.
[0025] Optionally, large cargo that passes the unpacking inspection will be weighed and put into storage, while large cargo that fails the unpacking inspection will be transported to the cargo collection and transportation area by unmanned forklift for temporary storage; standard cargo that passes the unpacking inspection will be stacked and transported to a floor scale by unmanned forklift for weighing and put into storage, while standard cargo that fails the unpacking inspection will be transported to the cargo collection and transportation area for temporary storage.
[0026] Optionally, after the goods arrive at the port, an unmanned tractor is used to transport the goods from the designated area of the apron to the tallying area of the cargo terminal for tallying. According to the requirements of the cargo owner, the sorted goods are palletized and transported to the pre-allocated warehouse for storage by a forklift AGV. The specific process of waiting for the cargo owner to pick up the goods is as follows:
[0027] After the cargo arrives at the port, the unmanned tractor will transport the cargo from the designated area of the apron to the cargo terminal tallying area for tallying, and the cargo will be divided into transit cargo and cargo for pick-up at the port;
[0028] According to the operation mode of the airport cargo terminal, the transit cargo is allocated to the warehouse for temporary storage and waits for departure;
[0029] According to the requirements of the cargo owner, the incoming goods will be palletized and moved to the pre-allocated incoming warehouse by forklift AGV for storage, waiting for the cargo owner to pick up the goods.
[0030] Optionally, the cargo owner issues a pick-up request through a self-service terminal or an online platform, and the specific process of transporting the inbound cargo to the designated location on the platform and completing the pick-up of the inbound cargo by a forklift AGV is as follows:
[0031] The cargo owner sends a pick-up request through the self-service terminal or online platform; the inbound pick-up cargo in the inbound storage location is transported to the AB gate cargo exchange area by the forklift AGV on the airside, and the inbound pick-up cargo in the AB gate cargo exchange area is transported to the designated location on the platform by the forklift AGV on the landside to complete the pick-up of the inbound cargo.
[0032] Optionally, the specific process of transporting the inbound cargo in the inbound storage location to the AB gate cargo exchange area by the airside forklift AGV, and transporting the inbound cargo in the AB gate cargo exchange area to the designated location on the platform by the landside forklift AGV and completing the pick-up of the inbound cargo is as follows:
[0033] The forklift AGV on the airside transports the inbound cargo from the inbound warehouse to Gate A of the AB Gate cargo exchange area to wait for delivery;
[0034] If there is cargo to be picked up at the AB gate cargo exchange area, the airside forklift AGV will wait at the A gate until the cargo to be picked up in the AB gate cargo exchange area is transferred, then the A gate will be opened, the airside forklift AGV will enter the AB gate cargo exchange area and store the cargo to be picked up at the AB gate cargo exchange area, and the airside forklift AGV will leave the AB gate cargo exchange area along the original route;
[0035] If there is no cargo to be picked up at the port in the cargo exchange area of gate AB, gate A will be opened, and the forklift AGV on the air side will enter the cargo exchange area of gate AB and store the cargo to be picked up at the port in the cargo exchange area of gate AB. The forklift AGV on the air side will leave the cargo exchange area of gate AB along the original route, gate B will be opened, and the forklift AGV on the land side will enter the cargo exchange area of gate AB. The forklift AGV on the land side will move the cargo to the designated location on the platform and complete the pickup of the inbound cargo.
[0036] The present invention also provides a system for realizing the unmanned processing method of the airport smart cargo terminal, comprising:
[0037] The information layer is used for information management and control of the airport cargo terminal, and provides the corresponding information to the control logic layer for decision-making;
[0038] The control logic layer is used to receive data and instructions from the information layer and control various devices in the device execution layer according to preset logic and rules;
[0039] The equipment execution layer is used to complete the operations of cargo departure, arrival, transit and pickup.
[0040] Optionally, the information layer includes:
[0041] Data asset service module, used for data storage, data information management, data backup, data analysis, data mining and data statistics;
[0042] Navigation service module, used to complete navigation management within the cargo terminal area;
[0043] Communication service module, used to complete the communication interface management of the system;
[0044] Query module, used for user information query management;
[0045] Management module, used for database terminal operation, navigation server terminal operation, system report generation, cargo terminal equipment management, cargo terminal equipment status monitoring, navigation map editing and navigation map collection management;
[0046] Monitoring module, used for real-time monitoring, fault alarm, manual control, video monitoring and manual and automatic switching management of the system;
[0047] Automatic barcode reading module, used to automatically collect 360-degree barcodes of goods;
[0048] Manual barcode reading module, used to read large goods, blind codes and damaged barcodes;
[0049] Positioning module, used to provide positioning information to the equipment moving in the cargo terminal;
[0050] The control logic layer includes:
[0051] Equipment control module, used to control the running status of the equipment;
[0052] The navigation and path planning module is used to provide the unmanned vehicle with a planned moving path and navigate the unmanned vehicle;
[0053] A task management module is used to assign work tasks to devices;
[0054] The status monitoring and fault handling module is used to monitor the status of the equipment and handle faults, trigger the alarm mechanism according to the severity of the fault, and notify relevant personnel to handle it;
[0055] The human-computer interaction module is used to manually control the system when necessary;
[0056] Advanced function modules for equipment formation operation, fire alarm interlocking, automatic inventory, intelligent path optimization, pallet fork picking in complex environments, unmanned vehicle obstacle avoidance and on-the-spot turning, cargo batch management and outbound prediction, and thermal analysis and intelligent allocation of storage locations;
[0057] Network communication module, used for communication between devices and providing data transmission function for the server;
[0058] The group control module is used to control the devices in groups using a publish and subscribe mode; wherein the devices in the same group work together to complete the same type of tasks;
[0059] The device execution layer includes:
[0060] Cargo receiving and pre-processing module, used for initial receipt, weighing, safety inspection and preliminary classification of cargo;
[0061] The cargo transfer and sorting module is used to transfer cargo in space and sort it as needed;
[0062] Cargo handling and storage module, used for horizontal and vertical handling of cargo, as well as storage management of cargo;
[0063] The goods outbound and assembly module is used to take the goods out of the storage location according to the outbound instructions and to assemble or pack them accordingly;
[0064] The sensing and positioning module is used to monitor the location and status of goods and the operating status of unmanned equipment in real time through sensors and positioning equipment;
[0065] Energy management module, used to provide energy for unmanned equipment;
[0066] Special operation module is used to handle special or complex operation requirements.
[0067] Optionally, the advanced function module includes:
[0068] The equipment formation submodule is used for equipment formation, coordinated scheduling, conflict resolution and performance evaluation;
[0069] The fire alarm interlock submodule integrates several types of fire alarm sensors for fire alarm detection, signal confirmation, emergency response and safe evacuation;
[0070] The unmanned vehicle obstacle avoidance and on-the-spot turning submodule integrates lidar, camera and corresponding sensors for environmental perception, obstacle recognition, obstacle avoidance planning and on-the-spot turning control;
[0071] Automatic inventory submodule, used for inventory scanning, data verification, inventory analysis and inventory optimization processing;
[0072] The cargo batch management and outbound delivery prediction submodule is used for batch information management, traceability query, outbound delivery demand forecasting and outbound delivery plan formulation;
[0073] The warehouse manpower analysis and intelligent allocation submodule is used for warehouse usage monitoring, thermal analysis, intelligent allocation, and dynamic adjustment of warehouse allocation strategies;
[0074] Intelligent path optimization submodule, used for real-time data collection, path planning, path optimization iteration, energy consumption optimization and wear optimization;
[0075] The pallet fork picking submodule in complex environments is used for environmental modeling and high-precision positioning, and controls the pallet fork picking in complex environments based on environmental modeling and high-precision positioning.
[0076] The technical solution of the embodiment of the present invention has at least the following advantages and beneficial effects:
[0077] Improve processing efficiency and accuracy: Submit cargo information through self-service terminals and online platforms, and combine with automated equipment such as unmanned forklifts, unmanned tractors and forklift-type AGVs to achieve unmanned operations from cargo submission, classification, security inspection, weighing, storage to outbound delivery, bucket assembly, palletizing, loading and inbound cargo processing, which greatly shortens cargo processing time and improves operation efficiency and accuracy;
[0078] Reduce labor costs: Through the extensive application of automated equipment, the dependence on manpower is reduced, the labor cost is reduced, and the labor intensity of the staff is reduced;
[0079] Enhanced safety: Cargo is inspected by automated equipment in the security inspection area, which effectively prevents the mixing of contraband and dangerous goods and improves the safety of cargo transportation. In addition, the use of automated equipment also reduces the safety risks that may be caused by direct operation by personnel;
[0080] Optimize resource allocation: Differentiate the processing according to the type of goods and allocate storage locations through an intelligent system, so as to achieve optimal allocation and efficient utilization of resources and improve the storage capacity and turnover rate of the warehouse;
[0081] Improve customer experience: Shippers can conveniently submit cargo information and pick-up requests through self-service terminals or online platforms, and understand cargo status in real time, which improves service transparency and customer satisfaction.
[0082] Enhanced flexibility and scalability: All links are based on modular design, which can be flexibly adjusted and optimized according to the actual needs of the airport cargo terminal. It is also convenient for future technology upgrades and expansions, maintaining the system's advancement and adaptability. BRIEF DESCRIPTION OF THE DRAWINGS
[0083] Figure 1 This is a flow chart of an unmanned processing method for an airport smart cargo terminal according to Embodiment 1 of the present invention;
[0084] Figure 2 This is a flow chart of an unmanned processing method for an airport smart cargo terminal according to Embodiment 2 of the present invention;
[0085] Figure 3 This is a structural diagram of the unmanned processing system of the airport smart cargo terminal according to Example 3 of the present invention. DETAILED DESCRIPTION
[0086] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.
[0087] Example 1
[0088] Reference Figure 1 In this embodiment, an unmanned processing method for an airport smart cargo terminal is provided, comprising the steps of:
[0089] The cargo owner submits the information of the cargo to be shipped through the self-service terminal or online platform, and places the cargo to be shipped in the designated area by himself;
[0090] Classify the cargo to be shipped according to the cargo information provided by the cargo owner and the actual situation of the cargo to be shipped;
[0091] The classified goods to be shipped are barcoded and sent to the security inspection area for safety inspection. The unmanned forklift transports the goods to be shipped after security inspection to the weighbridge for weighing. The weighed goods to be shipped are then transported to the corresponding storage location to wait for shipment.
[0092] Cargoes that have been shipped out of the warehouse are grouped and palletized, and then transported to the designated temporary storage area on the apron by unmanned tractors, where they are loaded and shipped out of the port.
[0093] After the goods arrive at the port, the unmanned tractor will transport the goods from the designated area of the apron to the tallying area of the cargo terminal for tallying. According to the requirements of the cargo owner, the sorted goods will be palletized and transported to the pre-allocated warehouse by forklift AGV for storage, waiting for the cargo owner to pick up the goods.
[0094] The cargo owner sends a pick-up request through the self-service terminal or online platform, and the forklift AGV transports the incoming cargo to the designated location on the platform and completes the pick-up of the incoming cargo.
[0095] Example 2
[0096] Based on the unmanned processing method of the airport smart cargo terminal in Example 1, refer to Figure 2 In this embodiment, when classifying the cargo to be shipped, the cargo to be shipped is divided into large cargo and standard cargo.
[0097] In this embodiment, the classified goods to be shipped are barcoded and sent to the security inspection area for safety inspection. The unmanned forklift transports the goods to be shipped after security inspection to the weighbridge for weighing. The weighed goods to be shipped are then transported to the corresponding storage location. The specific process of waiting for shipment is as follows:
[0098] After the outbound cargo is classified, the large cargo and standard cargo are barcoded separately;
[0099] The barcodes of large goods can be read by manual barcode reading equipment, or by corresponding automatic barcode scanning equipment. For example, by adding an automatic barcode scanning equipment to the forklift AGV for scanning, or setting an automatic barcode scanning equipment at a designated location, when the forklift AGV passes by with large goods, the automatic barcode scanning equipment at the designated location reads the barcodes of the large goods; the large goods after the barcode reading are transported to the security inspection roller docking position by an unmanned forklift, and the large goods are security inspected by a special X-ray machine for large goods, and the safe large goods obtained after the security inspection are transported to the floor scale by an unmanned forklift for weighing, and the safe large goods after the weighing are transported to the large goods storage location by a forklift AGV to wait for delivery; the suspicious large goods obtained after the security inspection are unpacked for inspection;
[0100] The barcoded standard goods are transported to the 360-degree automatic barcode reading device via a conveyor belt for barcode reading, and then transported to the X-ray machine via a conveyor belt for safety inspection. The safety standard goods obtained after the safety inspection are stacked and transported to the scale by an unmanned forklift for weighing and allocation of storage locations. The weighed safety standard goods are moved to the designated storage location by a forklift AGV for storage and wait for delivery. The suspicious standard goods obtained after the safety inspection are transported to the cargo receiving and transportation office via the cargo return conveyor line for unpacking inspection.
[0101] In this embodiment, large cargo that passes the unpacking inspection will be weighed and put into storage, and large cargo that fails the unpacking inspection will be transported to the cargo collection and transportation area by an unmanned forklift for temporary storage; standard cargo that passes the unpacking inspection will be stacked and transported to a floor scale by an unmanned forklift for weighing and put into storage, and standard cargo that fails the unpacking inspection will be transported to the cargo collection and transportation area for temporary storage.
[0102] In this embodiment, after the cargo arrives at the port, the unmanned tractor transports the cargo from the designated area of the apron to the cargo terminal tallying area for tallying. According to the requirements of the cargo owner, the sorted cargo is palletized and transported to the pre-assigned cargo storage location by the forklift AGV for storage. The specific process of waiting for the cargo owner to pick up the cargo is as follows:
[0103] After the cargo arrives at the port, the unmanned tractor will transport the cargo from the designated area of the apron to the cargo terminal tallying area for tallying, and the cargo will be divided into transit cargo and cargo for pick-up at the port;
[0104] According to the operation mode of the airport cargo terminal, the transit cargo is allocated to the warehouse for temporary storage and waits for departure;
[0105] According to the requirements of the cargo owner, the incoming goods will be palletized and moved to the pre-allocated incoming warehouse by forklift AGV for storage, waiting for the cargo owner to pick up the goods.
[0106] In this embodiment, the cargo owner issues a pick-up request through a self-service terminal or online platform, and the specific process of transporting the inbound cargo to the designated location on the platform and completing the pick-up of the inbound cargo by a forklift AGV is as follows:
[0107] The cargo owner sends a pick-up request through the self-service terminal or online platform; the inbound pick-up cargo in the inbound storage location is transported to the AB gate cargo exchange area by the forklift AGV on the airside, and the inbound pick-up cargo in the AB gate cargo exchange area is transported to the designated location on the platform by the forklift AGV on the landside to complete the pick-up of the inbound cargo.
[0108] In this embodiment, the specific process of transporting the inbound cargo from the inbound storage to the AB gate cargo exchange area by the airside forklift AGV and transporting the inbound cargo from the AB gate cargo exchange area to the designated location on the platform by the landside forklift AGV to complete the pick-up of the inbound cargo is as follows:
[0109] The forklift AGV on the airside transports the inbound cargo from the inbound warehouse to Gate A of the AB Gate cargo exchange area to wait for delivery;
[0110] If there is cargo to be picked up at the AB gate cargo exchange area, the airside forklift AGV will wait at the A gate until the cargo to be picked up in the AB gate cargo exchange area is transferred, then the A gate will be opened, the airside forklift AGV will enter the AB gate cargo exchange area and store the cargo to be picked up at the AB gate cargo exchange area, and the airside forklift AGV will leave the AB gate cargo exchange area along the original route;
[0111] If there is no cargo to be picked up at the port in the cargo exchange area of gate AB, gate A will be opened, and the forklift AGV on the air side will enter the cargo exchange area of gate AB and store the cargo to be picked up at the port in the cargo exchange area of gate AB. The forklift AGV on the air side will leave the cargo exchange area of gate AB along the original route, gate B will be opened, and the forklift AGV on the land side will enter the cargo exchange area of gate AB. The forklift AGV on the land side will move the cargo to the designated location on the platform and complete the pickup of the inbound cargo.
[0112] Example 3
[0113] Reference Figure 3 In this embodiment, a system for implementing the unmanned processing method of the airport smart cargo terminal in embodiment 1 or embodiment 2 is provided, including:
[0114] The information layer is used for information management and control of the airport cargo terminal, and provides the corresponding information to the control logic layer for decision-making; the information layer includes:
[0115] The data asset service module is used for data storage, data information management, data backup, data analysis, data mining and data statistics. It stores various data generated during the operation of the system; performs management operations such as classification, sorting, and backup of data information; provides data analysis and data mining functions to support cargo terminal operation decisions; performs statistical processing on data, generates various reports and charts, and provides intuitive data support for management.
[0116] The navigation service module is used to complete navigation management within the cargo terminal area. It is responsible for navigation management within the cargo terminal area, including navigation mode selection, navigation sign management, navigation map management, etc. It provides navigation map editing, updating and sharing functions to ensure that unmanned equipment can perform navigation tasks accurately and efficiently.
[0117] The communication service module is used to complete the communication interface management of the system. It is responsible for the communication interface management between the system and external systems, such as the communication interface with the airport cargo system, airline cargo system, freight forwarding system, express delivery system, flight information system, security information system, customs system, fire alarm system, clock system, departure system, etc.
[0118] The query module is used for user information query management. It provides functions such as cargo information query, flight information query, equipment alarm information query, inventory information query, cargo location heat map display, etc.; status query, such as automatic charging pile status query, equipment query, cargo location barcode query, etc.
[0119] The management module is used for database terminal operation, navigation server terminal operation, system report generation, cargo terminal equipment management, cargo terminal equipment status monitoring, navigation map editing and navigation map collection management. It is responsible for the daily maintenance and management of the database; remote monitoring and operation of the navigation server; automatic generation of various system reports for reference by the management; unified management of various equipment in the cargo terminal, including equipment status monitoring, fault handling, etc.; responsible for the collection and update of navigation maps.
[0120] The monitoring module is used for real-time monitoring, fault alarm, manual control, video monitoring and manual-automatic switching management of the system. It monitors the operating status of the entire system in real time, including equipment status, task execution, etc. Once a system fault or abnormality is found, the alarm mechanism is immediately triggered to notify relevant personnel to handle it; when necessary, manual control of the system is allowed; real-time monitoring of the cargo terminal area is carried out through video monitoring equipment; and flexible switching between manual control and automatic control is supported.
[0121] Automatic code reading module, used for automatic omnidirectional barcode collection of goods. Including 360-degree automatic code reading equipment, used for automatic omnidirectional barcode collection of goods.
[0122] Manual barcode reading module, used to read large goods, blind codes and damaged barcodes.
[0123] The positioning module is used to provide positioning information to the equipment moving in the cargo terminal. It provides positioning information to the equipment moving in the cargo terminal, such as unmanned forklifts and unmanned tractors, to ensure that they can accurately perform their tasks.
[0124] In this embodiment, the information layer uses Ethernet structure for network connection to ensure the stability and efficiency of data transmission. Each functional module communicates through a high-speed network to achieve real-time sharing and processing of data. By integrating multiple functional modules and adopting advanced network technology, powerful data support and management services are provided for the entire system. The stable operation and efficient management of the information layer are of great significance to improving the work efficiency of the cargo terminal, reducing operating costs, and improving customer satisfaction.
[0125] The control logic layer is used to receive data and instructions from the information layer and control various devices in the device execution layer according to preset logic and rules; the control logic layer includes:
[0126] The equipment control module is used to control the operating status of the equipment. It directly controls the operating status of the equipment, including starting, stopping, accelerating, decelerating, etc. It sends control instructions to various devices in the equipment execution layer to achieve precise control of the equipment. The equipment in the equipment execution layer includes unmanned forklifts, forklift-type AGVs, unmanned tractors, etc.
[0127] The navigation and path planning module is used to provide the planned moving path to the unmanned vehicle and navigate the unmanned vehicle. Unmanned vehicles such as unmanned forklifts and unmanned tractors calculate and generate the optimal path based on the map information and real-time traffic conditions provided by the navigation server, and send it to the unmanned vehicle through wireless communication to guide it to travel along the planned path.
[0128] The task management module is used to assign work tasks to equipment. According to business needs, work tasks are assigned to equipment, such as warehousing, outbound, and transportation. Task instructions are received from the information layer, and tasks are intelligently assigned to corresponding equipment based on factors such as task priority, equipment status, and storage location.
[0129] The status monitoring and fault handling module is used to monitor the status of the equipment and handle faults. It triggers the alarm mechanism according to the severity of the fault and notifies relevant personnel to handle it. The status information is collected through the built-in sensors and monitoring devices of the equipment, and real-time analysis is performed. Once a fault is found, the alarm process is immediately started and a fault report is generated for subsequent processing.
[0130] The human-computer interaction module is used to manually control the system when necessary; it provides a human-computer interface, such as a touch screen, computer terminal, etc., allowing operators to input control commands, query equipment status, view alarm information, etc.
[0131] Advanced function modules are used for equipment formation operation, fire alarm interlocking, automatic inventory, intelligent path optimization and pallet forking in complex environments, as well as unmanned vehicle obstacle avoidance and on-the-spot turning, cargo batch management and outbound prediction, and thermal analysis and intelligent allocation of storage locations. Advanced function modules include:
[0132] The equipment formation submodule is used for equipment formation, collaborative scheduling, conflict resolution and performance evaluation. Dynamically form the optimal equipment formation based on task requirements, equipment capabilities and current status; formulate collaborative work plans for each device in the formation to ensure efficient and orderly completion of common tasks; monitor and resolve possible conflicts between devices or path conflicts; evaluate the operation effect of the formation and continuously optimize the formation composition and scheduling strategy.
[0133] The fire alarm interlock submodule integrates several fire alarm sensors for fire alarm detection, signal confirmation, emergency response and safe evacuation. It integrates multiple fire alarm sensors, such as smoke detectors, temperature sensors, etc., to monitor fire risks in real time; confirm the detected fire alarm signals to avoid misoperation caused by false alarms; once the fire alarm is confirmed, the emergency response procedure is immediately initiated to close the equipment or channels in the relevant area; and provide safe evacuation paths and instructions for personnel and equipment.
[0134] The unmanned vehicle obstacle avoidance and on-the-spot turning submodule integrates laser radar, camera and corresponding sensors for environmental perception, obstacle identification, obstacle avoidance planning and on-the-spot turning control. It integrates laser radar, camera and other sensors to obtain real-time information about the surrounding environment; it processes the perceived environmental information through algorithms to identify obstacles; it plans a safe obstacle avoidance path based on the location and movement trend of obstacles; and it uses control algorithms to achieve precise on-the-spot turning of unmanned vehicles in limited spaces.
[0135] The automatic inventory submodule is used for inventory scanning, data verification, inventory analysis and inventory optimization. It uses RFID, barcode and other technologies to scan inventory and obtain inventory data; it verifies the scanned inventory data to ensure the accuracy and completeness of the data; it analyzes the inventory data and generates inventory reports and early warning information; it optimizes inventory plans and strategies based on historical data and current inventory conditions.
[0136] The goods batch management and outbound prediction submodule is used for batch information management, traceability query, outbound demand prediction and outbound plan formulation. Establish and maintain the goods batch information database, including production date, shelf life, source, etc.; provide goods traceability query function, support query by batch, production date and other conditions; based on historical data and current demand, use prediction algorithms to predict outbound demand in the future; formulate a reasonable outbound plan based on the outbound demand prediction results.
[0137] The warehouse manpower analysis and intelligent allocation submodule is used for warehouse usage monitoring, thermal analysis, intelligent allocation, and dynamic adjustment of warehouse allocation strategies. Real-time monitoring of the usage of each warehouse, including the type, quantity, access frequency, etc. of goods stored; thermal analysis of warehouse usage to generate a heat map; based on the attributes of the goods and the usage of the warehouse, the intelligent algorithm is used to allocate the optimal storage location for the goods; and the warehouse allocation strategy is dynamically adjusted according to the changes in warehouse usage and business needs.
[0138] The intelligent path optimization submodule is used for real-time data collection, path planning, path optimization iteration, energy consumption optimization and wear optimization. It collects the equipment's position, speed, direction and other operating data in real time; uses advanced path planning algorithms, such as A* algorithm and Di jkstra algorithm, to plan the optimal path for the equipment; continuously iterates and optimizes the path planning algorithm based on real-time data and historical experience; considers energy consumption and wear factors in the path optimization process to achieve energy conservation and emission reduction and extend equipment life.
[0139] The pallet picking submodule in complex environments is used for environmental modeling and high-precision positioning, and controls the picking of pallets in complex environments based on environmental modeling and high-precision positioning. Modeling of complex environments, including cargo stacking, channel width, obstacle locations, etc.; using high-precision sensors such as LiDAR and inertial navigation to achieve precise positioning of equipment; using advanced control algorithms such as fuzzy control and neural network control to achieve accurate picking of pallets in complex environments; real-time monitoring of the status of equipment and cargo during the picking process to ensure the safety of operations.
[0140] The network communication module is used for communication between devices and provides data transmission function for the server. The wireless MESH structure network is adopted to ensure stable communication between devices. Through standard communication protocols such as TCP / IP, MQTT, etc., real-time transmission and sharing of data can be achieved.
[0141] The group control module is used to control the devices in groups using the publish and subscribe mode; the devices in the same group work together to complete the same type of tasks. The devices are divided into different control groups according to the task requirements and device characteristics. The devices in each group receive the same control instructions and task assignments and work together to complete the specified tasks.
[0142] In this embodiment, the control logic layer performs control operations such as task allocation, path planning, and status monitoring by receiving instructions and data sent by the information layer and combining the real-time status information of the device execution layer; at the same time, intelligent control and optimization management are realized through advanced functional modules to improve the overall efficiency and stability of the system. When necessary, human intervention and control are allowed through the human-computer interaction module to ensure the flexibility and safety of the system.
[0143] The equipment execution layer is used to complete the operations of cargo departure, arrival, transit and pickup; the equipment execution layer includes:
[0144] Cargo receiving and pre-processing module, used for initial receipt, weighing, safety inspection and preliminary classification of cargo;
[0145] The cargo transfer and sorting module is used to transfer cargo in space and sort it as needed;
[0146] Cargo handling and storage module, used for horizontal and vertical handling of cargo, as well as storage management of cargo;
[0147] The goods outbound and assembly module is used to take the goods out of the storage location according to the outbound instructions and to assemble or pack them accordingly;
[0148] The sensing and positioning module is used to monitor the location and status of goods and the operating status of unmanned equipment in real time through sensors and positioning equipment;
[0149] Energy management module, used to provide energy for unmanned equipment;
[0150] Special operation module is used to handle special or complex operation requirements.
[0151] In this embodiment, the cargo terminal platform is connected to the internal conveying system through the platform telescopic belt conveyor, so as to facilitate the rapid transfer of cargo from external vehicles to the internal processing flow; the weighing belt conveyor is used to automatically weigh the cargo before it enters the warehouse to ensure the accuracy of the cargo weight information; the cargo is sent to the X-ray machine for safety inspection through the X-ray machine transmission belt conveyor to ensure that the cargo meets the aviation transportation safety standards; the cargo between different areas in the cargo terminal is transported through ordinary conveyors, climbing belt conveyors or loading and unloading belt conveyors; large or heavy cargo is transported through large cargo rolling machines to reduce the difficulty of manual operation; and the cargo between different processing equipment is transported through AVG shuttles, depalletizing shuttles or stacking shuttles. The goods can be quickly connected; the processed outbound goods can be delivered to the outbound area or loading area through the outbound cargo conveyor; the sorting machine can automatically classify the goods into different transmission paths or storage areas according to the preset sorting rules, such as destination, flight number, etc.; the unmanned forklift automated handling equipment can complete the automatic loading and unloading operations of goods on multi-layer shelves to improve storage efficiency; the forklift-type AGV autonomous navigation handling equipment is responsible for the horizontal handling of goods in the cargo station, such as from the conveyor belt to the storage area, from the storage area to the outbound area, etc.; the shelves equipped with intelligent management systems can automatically record the cargo information and storage location, and support remote monitoring and management. Including high-level shelves, low-level shelves, large-piece shelves, ULD special shelves, bucket truck special shelves, cargo pallet special shelves, etc.; the goods on the high-level shelves are loaded and unloaded by stackers, and automated storage and retrieval are realized in conjunction with the smart shelf system; the shuttle vehicles are used to carry out automated cargo handling inside the three-dimensional shelves to improve the storage density and access efficiency of the three-dimensional warehouse; automatic charging piles are used to provide automatic charging services for electric equipment such as unmanned forklifts, forklift-type AGVs, shuttle vehicles, and unmanned tractors to ensure continuous operation of the equipment; unmanned tractors are used to transfer goods from the cargo station to the cargo temporary storage area on the apron for installation, thereby realizing seamless docking of goods; positioning equipment is used to provide accurate positioning information for all mobile equipment and pallets in the cargo station, supporting the equipment's automatic navigation, obstacle avoidance and other functions.
[0152] In this embodiment, after the goods enter the cargo station through the conveyor belt, they go through processes such as weighing and security inspection; qualified goods are transported to the smart shelves for storage by unmanned forklifts or forklift-type AGVs, or directly transported to the outbound area for assembly; when outbound, the forklift-type AGV takes the goods from the smart shelves according to instructions and transports them to the assembly area for packaging or shipment; the unmanned tractor is responsible for transferring the assembled goods from the cargo station to the cargo temporary storage area on the apron; inbound goods are transported to the cargo station tallying area by unmanned tractors for storage and classification.
[0153] The above are only preferred embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.
Claims
1. An unmanned processing method for an airport smart cargo terminal, characterized in that: Includes steps: The cargo owner submits the information of the cargo to be shipped through the self-service terminal or online platform, and places the cargo to be shipped in the designated area by himself; Classify the cargo to be shipped according to the cargo information provided by the cargo owner and the actual situation of the cargo to be shipped; The classified goods to be shipped are barcoded and sent to the security inspection area for safety inspection. The unmanned forklift transports the goods to be shipped after security inspection to the weighbridge for weighing. The weighed goods to be shipped are then transported to the corresponding storage location to wait for shipment. Cargoes that have been shipped out of the warehouse are grouped and palletized, and then transported to the designated temporary storage area on the apron by unmanned tractors, where they are loaded and shipped out of the port. After the goods arrive at the port, the unmanned tractor will transport the goods from the designated area of the apron to the tallying area of the cargo terminal for tallying. According to the requirements of the cargo owner, the sorted goods will be palletized and transported to the pre-allocated warehouse by forklift AGV for storage, waiting for the cargo owner to pick up the goods. The cargo owner sends a pick-up request through the self-service terminal or online platform, and the forklift AGV transports the incoming cargo to the designated location on the platform and completes the pick-up of the incoming cargo.
2. The unmanned processing method for an airport smart cargo terminal according to claim 1, characterized in that: When classifying the cargo to be shipped out, the cargo to be shipped out is divided into large cargo and standard cargo.
3. The unmanned processing method of the airport smart cargo terminal according to claim 2, characterized in that: The classified goods to be shipped are barcoded and sent to the security inspection area for safety inspection. The unmanned forklift transports the goods to be shipped after security inspection to the weighing scale for weighing. The weighed goods to be shipped are transported to the corresponding storage location and wait for shipment. The specific process is as follows: After the outbound cargo is classified, the large cargo and standard cargo are barcoded separately; Read the barcodes of large cargo, transport the read large cargo to the security roller docking position by an unmanned forklift, conduct safety inspection on the large cargo by a special X-ray machine for large cargo, move the safe large cargo obtained after the safety inspection to the floor scale by an unmanned forklift for weighing, and move the weighed safe large cargo to the large cargo storage position by a forklift AGV to wait for delivery; unpack and inspect suspicious large cargo obtained after the safety inspection; The barcoded standard goods are transported to the 360-degree automatic barcode reading device via a conveyor belt for barcode reading, and then transported to the X-ray machine via a conveyor belt for safety inspection. The safety standard goods obtained after the safety inspection are stacked and transported to the scale by an unmanned forklift for weighing and allocation of storage locations. The weighed safety standard goods are moved to the designated storage location by a forklift AGV for storage and wait for delivery. The suspicious standard goods obtained after the safety inspection are transported to the cargo receiving and transportation office via the cargo return conveyor line for unpacking inspection.
4. The unmanned processing method of the airport smart cargo terminal according to claim 3, characterized in that: Large cargo that passes the unpacking inspection will be weighed and put into storage, while large cargo that fails the unpacking inspection will be transported to the cargo receiving and transportation area by unmanned forklift for temporary storage; standard cargo that passes the unpacking inspection will be stacked and transported to the floor scale by unmanned forklift for weighing and put into storage, while standard cargo that fails the unpacking inspection will be transported to the cargo receiving and transportation area for temporary storage.
5. The unmanned processing method of the airport smart cargo terminal according to claim 1, characterized in that: After the goods arrive at the port, the unmanned tractor will transport the goods from the designated area of the apron to the tallying area of the cargo terminal for tallying. According to the requirements of the cargo owner, the sorted goods will be palletized and transported to the pre-allocated warehouse for storage by forklift AGV. The specific process of waiting for the cargo owner to pick up the goods is as follows: After the cargo arrives at the port, the unmanned tractor will transport the cargo from the designated area of the apron to the cargo terminal tallying area for tallying, and the cargo will be divided into transit cargo and cargo for pick-up at the port; According to the operation mode of the airport cargo terminal, the transit cargo is allocated to the warehouse for temporary storage and waits for departure; According to the requirements of the cargo owner, the incoming goods will be palletized and moved to the pre-allocated incoming warehouse by forklift AGV for storage, waiting for the cargo owner to pick up the goods.
6. The unmanned processing method of the airport smart cargo terminal according to claim 5, characterized in that: The specific process of the cargo owner sending a pick-up request through the self-service terminal or online platform, and the forklift AGV transporting the inbound cargo to the designated location on the platform and completing the pick-up of the inbound cargo is as follows: The cargo owner sends a pick-up request through the self-service terminal or online platform; the inbound pick-up cargo in the inbound storage location is transported to the AB gate cargo exchange area by the forklift AGV on the airside, and the inbound pick-up cargo in the AB gate cargo exchange area is transported to the designated location on the platform by the forklift AGV on the landside to complete the pick-up of the inbound cargo.
7. The unmanned processing method of the airport smart cargo terminal according to claim 6, characterized in that: The specific process of transporting the incoming cargo from the inbound storage to the AB gate cargo exchange area by the airside forklift AGV, and transporting the incoming cargo from the AB gate cargo exchange area to the designated location on the platform by the landside forklift AGV to complete the pick-up of the incoming cargo is as follows: The forklift AGV on the airside transports the inbound cargo from the inbound warehouse to Gate A of the AB Gate cargo exchange area to wait for delivery; If there is cargo to be picked up at the AB gate cargo exchange area, the airside forklift AGV will wait at the A gate until the cargo to be picked up in the AB gate cargo exchange area is transferred, then the A gate will be opened, the airside forklift AGV will enter the AB gate cargo exchange area and store the cargo to be picked up at the AB gate cargo exchange area, and the airside forklift AGV will leave the AB gate cargo exchange area along the original route; If there is no cargo to be picked up at the port in the cargo exchange area of gate AB, gate A will be opened, and the forklift AGV on the air side will enter the cargo exchange area of gate AB and store the cargo to be picked up at the port in the cargo exchange area of gate AB. The forklift AGV on the air side will leave the cargo exchange area of gate AB along the original route, gate B will be opened, and the forklift AGV on the land side will enter the cargo exchange area of gate AB. The forklift AGV on the land side will move the cargo to the designated location on the platform and complete the pickup of the inbound cargo.
8. A system for implementing the unmanned processing method of an airport smart cargo terminal according to any one of claims 1 to 7, characterized in that: include: The information layer is used for information management and control of the airport cargo terminal, and provides the corresponding information to the control logic layer for decision-making; The control logic layer is used to receive data and instructions from the information layer and control various devices in the device execution layer according to preset logic and rules; The equipment execution layer is used to complete the operations of cargo departure, arrival, transit and pickup.
9. The system according to claim 8, characterized in that The information layer includes: Data asset service module, used for data storage, data information management, data backup, data analysis, data mining and data statistics; Navigation service module, used to complete navigation management within the cargo terminal area; Communication service module, used to complete the communication interface management of the system; Query module, used for user information query management; Management module, used for database terminal operation, navigation server terminal operation, system report generation, cargo terminal equipment management, cargo terminal equipment status monitoring, navigation map editing and navigation map collection management; Monitoring module, used for real-time monitoring, fault alarm, manual control, video monitoring and manual and automatic switching management of the system; Automatic barcode reading module, used to automatically collect 360-degree barcodes of goods; Manual barcode reading module, used to read large goods, blind codes and damaged barcodes; Positioning module, used to provide positioning information to the equipment moving in the cargo terminal; The control logic layer includes: Equipment control module, used to control the running status of the equipment; The navigation and path planning module is used to provide the unmanned vehicle with a planned moving path and navigate the unmanned vehicle; A task management module is used to assign work tasks to devices; The status monitoring and fault handling module is used to monitor the status of the equipment and handle faults, trigger the alarm mechanism according to the severity of the fault, and notify relevant personnel to handle it; The human-computer interaction module is used to manually control the system when necessary; Advanced function modules for equipment formation operation, fire alarm interlocking, automatic inventory, intelligent path optimization, pallet fork picking in complex environments, unmanned vehicle obstacle avoidance and on-the-spot turning, cargo batch management and outbound prediction, and thermal analysis and intelligent allocation of storage locations; Network communication module, used for communication between devices and providing data transmission function for the server; The group control module is used to control the devices in groups using a publish and subscribe mode; wherein the devices in the same group work together to complete the same type of tasks; The device execution layer includes: Cargo receiving and pre-processing module, used for initial receipt, weighing, safety inspection and preliminary classification of cargo; The cargo transfer and sorting module is used to transfer cargo in space and sort it as needed; Cargo handling and storage module, used for horizontal and vertical handling of cargo, as well as storage management of cargo; The goods outbound and assembly module is used to take the goods out of the storage location according to the outbound instructions and to assemble or pack them accordingly; The sensing and positioning module is used to monitor the location and status of goods and the operating status of unmanned equipment in real time through sensors and positioning equipment; Energy management module, used to provide energy for unmanned equipment; Special operation module is used to handle special or complex operation requirements.
10. The system according to claim 9, characterized in that The advanced functional modules include: The equipment formation submodule is used for equipment formation, coordinated scheduling, conflict resolution and performance evaluation; The fire alarm interlock submodule integrates several types of fire alarm sensors for fire alarm detection, signal confirmation, emergency response and safe evacuation; The unmanned vehicle obstacle avoidance and on-the-spot turning submodule integrates lidar, camera and corresponding sensors for environmental perception, obstacle recognition, obstacle avoidance planning and on-the-spot turning control; Automatic inventory submodule, used for inventory scanning, data verification, inventory analysis and inventory optimization processing; The cargo batch management and outbound delivery prediction submodule is used for batch information management, traceability query, outbound delivery demand forecasting and outbound delivery plan formulation; The warehouse manpower analysis and intelligent allocation submodule is used for warehouse usage monitoring, thermal analysis, intelligent allocation, and dynamic adjustment of warehouse allocation strategies; Intelligent path optimization submodule, used for real-time data collection, path planning, path optimization iteration, energy consumption optimization and wear optimization; The pallet fork picking submodule in complex environments is used for environmental modeling and high-precision positioning, and controls the pallet fork picking in complex environments based on environmental modeling and high-precision positioning.
Citation Information
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