Artificial intelligence logistics system and working method thereof

Abstract

The present application relates to the technical field of intelligent logistics, and especially relates to an artificial intelligence logistics system and a working method thereof. The system comprises a transfer center, a transfer vehicle, a distribution site, a cloud database, a distribution site and a distribution vehicle. The distribution site is provided with an intelligent loading device. The intelligent loading device scans and identifies the goods in the same distribution area, notifies the consignee through voice, sorts and arranges the goods, directly loads the arranged goods into the distribution vehicle, and formulates an optimized distribution route for distribution. Meanwhile, the working method based on the above system is disclosed, which realizes the counting, identification, optimized distribution route and reasonable and efficient distribution scheme of the distribution goods. The sender, consignee and logistics party can obtain the position information and arrival time of the distribution vehicle through a terminal device, realize the whole process monitoring, counting and identification of the goods, make the whole process of goods transportation visualized, and improve the work efficiency of all parties.

Description

Technical Field

[0001] This invention relates to the field of intelligent logistics technology, and in particular to an artificial intelligence logistics system and its working method. Background Technology

[0002] The rise of online shopping has led to a surge in express delivery volume, prompting upgrades to existing logistics equipment. Distribution centers are now equipped with automated scanning and sorting devices, significantly improving efficiency. However, during the delivery phase, parcels are typically placed at pickup stations or delivered sequentially. Since couriers need to plan and divide packages according to their addresses during loading, delivery efficiency is greatly reduced. Furthermore, the lack of monitoring and location tracking during the delivery phase makes it impossible to achieve end-to-end monitoring and location tracking. Summary of the Invention

[0003] The purpose of this invention is to provide an artificial intelligence logistics system and its working method to solve the above-mentioned technical problems.

[0004] To achieve the above objectives, the present invention provides an artificial intelligence logistics system, comprising several transfer centers equipped with intelligent sorting equipment, transfer vehicles equipped with positioning modules, delivery stations, and a cloud database. The delivery stations are equipped with intelligent loading devices and delivery vehicles, and each delivery vehicle is equipped with a delivery mobile terminal. The transfer centers, transfer vehicles, delivery stations, intelligent loading devices, delivery vehicles, and delivery mobile terminals all communicate with the cloud database.

[0005] The intelligent loading device includes an intelligent loading controller, a scanning and weighing mechanism, an intelligent voice module, a sorting mechanism, and an arrangement mechanism. After the goods at the distribution station are sorted by the intelligent sorting equipment, the goods in the same distribution area are transported to the corresponding intelligent loading device for scanning and identification, voice notification to the recipient, sorting, and arrangement according to the location and response status of all goods in the same distribution area. The arranged goods are then directly loaded into the delivery vehicle for delivery.

[0006] Preferably, the scanning and weighing mechanism includes a weighing device, a scanner, and an image acquisition device installed at the inlet end of the sorting mechanism. A roller conveyor is installed on top of the weighing device; the image acquisition device is used to collect image data of the goods from multiple angles.

[0007] The weighing device, scanner, and roller conveyor are all electrically connected to the intelligent loading controller, which determines whether the goods are intact based on the image data.

[0008] Preferably, the intelligent voice module is electrically connected to the intelligent loading controller to acquire data from the weighing device and the scanner. The intelligent voice module includes a voice dialing submodule, a voice playback submodule, a voice receiving and recognition module, and an artificial intelligence response module. The artificial intelligence response module has a multimodal data processing model embedded in it for responding to audio responses.

[0009] Preferably, the sorting mechanism includes several first conveyors arranged in sequence, each first conveyor is vertically arranged with a second conveyor, and a first pushing cylinder is arranged at a position opposite to the first conveyor and the second conveyor. The first conveyor, the second conveyor and the first pushing cylinder are all electrically connected to the intelligent loading controller.

[0010] Preferably, the arrangement mechanism includes a transverse moving module, a longitudinal moving module, a vertical moving module, and an arrangement shelf. A moving pushing mechanism is provided on the side of the second conveyor. The moving pushing mechanism includes a motor screw moving module and a second pushing cylinder on the motor screw moving module. The arrangement shelf is set on the vertical moving module, which is set on the longitudinal moving module. The longitudinal moving module is set parallel to the second conveyor and is set on the transverse moving module. The transverse moving module, longitudinal moving module, vertical moving module, motor screw moving module, and second pushing cylinder are all electrically connected to the intelligent loading controller.

[0011] Preferably, the delivery vehicle is equipped with a trigger switch and a camera at the door. When the door is open, the camera is activated to collect video data of the package retrieval. The delivery vehicle is equipped with a monitoring controller, which includes a positioning submodule, an alarm submodule, and a Bluetooth connection submodule. The Bluetooth connection submodule communicates with the delivery mobile terminal. When the Bluetooth connection submodule disconnects, the trigger switch is activated and the alarm submodule is triggered to sound an alarm.

[0012] Based on the above-mentioned working method of an artificial intelligence logistics system, the specific steps are as follows:

[0013] Step S1: After the goods are received and counted at the originating station, they are marked with logistics tags. The goods are then transported to the transfer center by transfer vehicles. After identification and sorting at the transfer center, they are transported to the next transfer center by transfer vehicles. The shipper, consignee or logistics provider can obtain the logistics location of the goods by obtaining the positioning module data of the transfer vehicle.

[0014] Step S2: After the goods arrive at the delivery station, the intelligent sorting equipment at the delivery station sorts the goods according to the area division;

[0015] Step S3: Transport goods from the same delivery area to the corresponding intelligent loading device for sequential scanning and identification, voice notification to the recipient, sorting, and arrangement based on the location and response status of all goods from the same delivery area. Load the arranged goods directly into the delivery vehicle for delivery.

[0016] Preferably, in step S3, the weighing device and scanner are used to obtain the quality, type, delivery address, and recipient's contact information of the goods, respectively. After weighing, the goods are transported to the first conveyor on the sorting mechanism. At the same time, the recipient is contacted through the intelligent voice module, and the quality, type, whether the goods are damaged, the estimated delivery time, and the delivery address are played through the voice playback submodule. The reply voice data is received through the voice receiving and recognition module, and the artificial intelligence response module determines the delivery time and delivery address based on the reply voice data. The recipient's phone number is obtained during the recognition stage to confirm the delivery time and location in advance and formulate a reasonable and efficient delivery plan.

[0017] Based on the delivery address, the goods are transported to the corresponding second conveyor via the first conveyor and the pushing cylinder. The second conveyor starts synchronously with the pushing cylinder. The second conveyor starts at a set time each time the pushing cylinder pushes the goods. The delivery route is planned based on all delivery addresses. After the delivery mobile terminal obtains the delivery route, it provides navigation services through its built-in navigation software.

[0018] The delivery order is determined based on the delivery trajectory. Goods at the same delivery trajectory node are divided into time windows according to the delivery time. Goods in the same time window are pushed onto the shelf in reverse order of delivery time by the motor screw moving module and the second pushing cylinder.

[0019] Once the goods in the same time window are arranged, the arranged shelves are transferred to the delivery vehicle using a forklift.

[0020] Preferably, in step S3, when the delivery vehicle is delivering goods, the delivery vehicle and delivery personnel are located and tracked through the positioning submodule and the delivery mobile terminal;

[0021] When the delivery vehicle door is opened, the camera automatically activates to collect video data of the pickup. When the Bluetooth connection submodule is disconnected, the trigger switch is activated to start the alarm submodule to sound an alarm. At the same time, the delivery mobile terminal obtains delivery video and performs electronic signature. The shipper, receiver and logistics provider obtain the location and arrival time of the goods by accessing the cloud database.

[0022] Preferably, in step S3, for the damaged and rejected goods being transported to the first conveyor at the tail end, the first conveyor at the tail end transports the damaged and rejected goods to the return area.

[0023] Therefore, the present invention employs the above-mentioned artificial intelligence logistics system and its working method, and has the following beneficial effects:

[0024] (1) The delivery station is equipped with intelligent loading devices and delivery vehicles. Each delivery vehicle is equipped with a delivery mobile terminal. The intelligent loading device weighs the delivered goods, acquires information and identifies their condition. Based on the inventory, it contacts the recipient by phone to confirm the delivery address and time, and optimizes the delivery route based on the delivery address and time to formulate a reasonable and efficient delivery plan.

[0025] (2) The shipper, the consignee and the logistics provider can obtain the location information and arrival time of the delivery vehicle through the terminal equipment, and can monitor, count and identify the goods throughout the process, making the entire transportation process visible, improving the work efficiency of all parties and avoiding unnecessary waiting time.

[0026] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0027] Figure 1 This is a schematic diagram of the structure of an artificial intelligence logistics system according to the present invention;

[0028] Figure 2 This is a schematic diagram of the intelligent loading device of the present invention;

[0029] Figure 3 This is a schematic diagram of the delivery vehicle structure of the present invention.

[0030] Figure Labels

[0031] 1. Scanning and weighing mechanism; 11. Weighing device; 12. Scanner; 13. Image recognition device; 2. Sorting mechanism; 21. First conveyor; 22. Second conveyor; 23. First pushing cylinder; 3. Arrangement mechanism; 31. Lateral movement module; 32. Longitudinal movement module; 33. Vertical movement module; 34. Arrangement shelf; 35. Motor screw movement module; 36. Second pushing cylinder; 4. Delivery vehicle; 41. Trigger switch; 42. Camera; 43. Monitoring controller. Detailed Implementation

[0032] In the description of this invention, it should be noted that the terms "upper," "lower," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, or the orientation or positional relationship commonly used when the product is in use. They are used only for the convenience of describing the invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the invention. In the description of this invention, it should also be noted that, unless otherwise explicitly specified and limited, the terms "set," "install," and "connect" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal communication between two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0033] The embodiments of the present invention will now be described in detail with reference to the accompanying drawings.

[0034] like Figure 1 As shown, an artificial intelligence logistics system includes several transfer centers equipped with intelligent sorting equipment, transfer vehicles with positioning modules, delivery stations, and a cloud database.

[0035] The delivery station is equipped with an intelligent loading device and delivery vehicles 4, each of which is equipped with a mobile delivery terminal; the transfer center, transfer vehicles, delivery stations, intelligent loading devices, delivery vehicles 4, and mobile delivery terminals all communicate with the cloud database.

[0036] like Figure 2 As shown, the intelligent loading device includes an intelligent loading controller, a scanning and weighing mechanism 1, an intelligent voice module, a sorting mechanism 2, and an arrangement mechanism 3. After the goods at the delivery station are sorted by the intelligent sorting equipment, the goods in the same delivery area are transported to the corresponding intelligent loading device for scanning and identification, voice notification to the recipient, sorting, and arrangement according to the location and response of all goods in the same delivery area. The arranged goods are then directly loaded into the delivery vehicle 4 for delivery.

[0037] The scanning and weighing mechanism 1 includes a weighing device 11, a scanner 12, and an image recognition device 13, all located at the inlet end of the sorting mechanism 2. A roller conveyor is mounted on top of the weighing device 11. The image recognition device 13 includes multiple image acquisition units for collecting image data of the goods from multiple angles. Image acquisition units are positioned relative to the front and rear sides, left and right sides, and top and bottom of the goods. The image acquisition units, weighing device 11, scanner 12, and roller conveyor are all electrically connected to the intelligent loading controller. The image acquisition units transmit image data to the intelligent loading controller, which determines whether the goods are intact based on the image data.

[0038] The intelligent voice module is electrically connected to the intelligent loading controller and is used to acquire data from the weighing device 11 and the scanner 12. The intelligent voice module includes a voice dialing submodule, a voice playback submodule, a voice receiving and recognition module, and an artificial intelligence response module. The artificial intelligence response module communicates with the voice playback submodule and the voice receiving and recognition module, and it embeds a multimodal data processing model (GPT-4o) for fast audio response. It can respond to audio input in as little as 232 milliseconds, with an average of 320 milliseconds, similar to human response time. Furthermore, it can perceive emotions and tone of voice, change its intonation according to user requests, and process multiple languages, improving both speed and quality.

[0039] The sorting mechanism 2 includes several first conveyors 21 arranged in sequence, each first conveyor 21 is vertically arranged with a second conveyor 22, and a first pushing cylinder 23 is arranged opposite to the first conveyor 21 and the second conveyor 22. The first conveyor 21, the second conveyor 22 and the first pushing cylinder 23 are all electrically connected to the intelligent loading controller.

[0040] The arrangement mechanism 3 includes a horizontal moving module 31, a vertical moving module 32, a vertical moving module 33, and an arrangement shelf 34. A moving pushing mechanism is provided on the side of the second conveyor 22. The moving pushing mechanism includes a motor screw moving module 35 and a second pushing cylinder 36 on the motor screw moving module 35. The arrangement shelf 34 is set on the vertical moving module 33, which is set on the vertical moving module 32. The vertical moving module 32 is set parallel to the second conveyor 22 and is set on the horizontal moving module 31. The horizontal moving module 31, the vertical moving module 32, the vertical moving module 33, the motor screw moving module 35, and the second pushing cylinder 36 are all electrically connected to the intelligent loading controller.

[0041] like Figure 3 As shown, the delivery vehicle 4 is equipped with a trigger switch 41 and a camera 42 at the door. When the door is open, the camera 42 is activated to collect video data of the package retrieval. The delivery vehicle 4 is equipped with a monitoring controller 43, which includes a positioning submodule, an alarm submodule, and a Bluetooth connection submodule. The Bluetooth connection submodule communicates with the delivery mobile terminal. When the Bluetooth connection submodule is disconnected, the trigger switch 41 is triggered and the alarm submodule is activated to sound an alarm.

[0042] Based on the above-mentioned working method of an artificial intelligence logistics system, the specific steps are as follows:

[0043] Step S1: After the goods are received and counted at the originating station, they are tagged with logistics labels and transported to the transfer center by transfer vehicles. At the transfer center, they are identified and sorted, and then transported to the next transfer center by transfer vehicles. The shipper, consignee, or logistics provider can obtain the goods' logistics location by accessing the positioning module data of the transfer vehicles to easily monitor the goods' status. During this process, the identification and sorting processes are monitored by various video capture devices at the transfer center, and the monitoring videos are uploaded.

[0044] Step S2: After the goods arrive at the delivery station, the intelligent sorting equipment at the delivery station sorts the goods according to the area division.

[0045] Step S3: Transport goods from the same delivery area to the corresponding intelligent loading device for sequential scanning and identification, voice notification to the recipient, sorting, and arrangement according to the location and response status of all goods from the same delivery area. The arranged goods are then directly loaded into delivery vehicle 4 for delivery.

[0046] In step S3, the weighing device 11 and the scanner 12 are used to obtain the quality, type, delivery address, and recipient's contact information of the goods, respectively. After weighing, the goods are conveyed to the first conveyor 21 on the sorting mechanism 2 to count the goods and identify their condition. Simultaneously, the recipient is contacted via an intelligent voice module, and the voice playback submodule plays information about the goods' quality, type, whether they are damaged, the estimated delivery time, and the delivery address. The voice receiving and recognition module receives the response voice data, and the artificial intelligence response module determines the delivery time and address based on the response voice data. Obtaining the recipient's phone number during the identification phase allows for advance confirmation of delivery time and location information, enabling the development of a reasonable and efficient delivery plan.

[0047] Based on the delivery address, goods are transported to the corresponding second conveyor 22 via the first conveyor 21 and a pushing cylinder. The second conveyor 22 starts synchronously with the pushing cylinder; each time the pushing cylinder pushes a piece of goods, the corresponding second conveyor 22 starts for a set time, ensuring the goods are arranged in sequence. Damaged or rejected goods are transported to the first conveyor 21 at the end, which then transports them to the return area. Delivery routes are planned based on all delivery addresses. After obtaining the delivery route, the delivery mobile terminal provides navigation services through its built-in navigation software, using the optimized delivery route to improve delivery efficiency.

[0048] The delivery sequence is determined based on the delivery trajectory. Goods at the same delivery trajectory node are divided into time windows according to their delivery time. Goods within the same time window are pushed onto the arranging shelf 34 in reverse order of delivery time via the motor screw moving module 35 and the second pushing cylinder 36. After the goods within the same time window are arranged, the arranging shelf 34 is transferred to the delivery vehicle 4 by a forklift. This reduces the workload of current logistics and delivery-related positions, improves work efficiency, and lowers logistics costs.

[0049] During the delivery process, when delivery vehicle 4 delivers goods, the positioning submodule and delivery mobile terminal are used to locate and track delivery vehicle 4 and delivery personnel.

[0050] When the door of delivery vehicle 4 is opened, camera 42 automatically activates to collect video data of the pickup. When the Bluetooth connection submodule disconnects, trigger switch 41 is activated, initiating alarm submodule to sound an alarm (audio-visual and wireless alarms are sent to the delivery mobile terminal). Simultaneously, the delivery mobile terminal acquires delivery video and performs electronic signature, enabling online signing and settlement, making the logistics system greener, lower-carbon, and more energy-efficient. The shipper, consignee, and logistics provider obtain the location and arrival time of goods by accessing cloud database data. The entire transportation process is visualized, allowing shippers, consignees, and transporters to promptly understand the location and status of goods, improving the efficiency of all parties.

[0051] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the technical solutions of the present invention, and these modifications or equivalent substitutions cannot cause the modified technical solutions to deviate from the spirit and scope of the technical solutions of the present invention.

Claims

1. An artificial intelligence logistics system, comprising several transfer centers equipped with intelligent sorting equipment, transfer vehicles equipped with positioning modules, delivery stations, and a cloud database, characterized in that: The delivery stations are equipped with intelligent loading devices and delivery vehicles, and each delivery vehicle is equipped with a delivery mobile terminal; the transfer center, transfer vehicles, delivery stations, intelligent loading devices, delivery vehicles and delivery mobile terminals all communicate with the cloud database; The intelligent loading device includes an intelligent loading controller, a scanning and weighing mechanism, an intelligent voice module, a sorting mechanism, and an arrangement mechanism. After the goods at the distribution station are sorted by the intelligent sorting equipment, the sorting mechanism includes several first conveyors arranged in sequence, each first conveyor is vertically arranged with a second conveyor, and a first pushing cylinder is arranged at a position opposite to the first conveyor and the second conveyor. The first conveyor, the second conveyor, and the first pushing cylinder are all electrically connected to the intelligent loading controller. The arrangement mechanism includes a horizontal moving module, a vertical moving module, a vertical moving module, and an arrangement shelf. A moving pushing mechanism is provided on the side of the second conveyor. The moving pushing mechanism includes a motor screw moving module and a second pushing cylinder on the motor screw moving module. The arrangement shelf is set on the vertical moving module, and the vertical moving module is set on the longitudinal moving module. The longitudinal moving module is set parallel to the second conveyor and is set on the horizontal moving module. The horizontal moving module, the vertical moving module, the motor screw moving module, and the second pushing cylinder are all electrically connected to the intelligent loading controller. The intelligent voice module is electrically connected to the intelligent loading controller to acquire data from the weighing device and scanner. The intelligent voice module includes a voice dialing submodule, a voice playback submodule, a voice receiving and recognition module, and an artificial intelligence response module. The artificial intelligence response module has an embedded multimodal data processing model for responding to audio responses. The voice playback submodule plays information about the goods' quality, type, whether it is damaged, the estimated delivery time, and the delivery address. The voice receiving and recognition module receives the response voice data. The artificial intelligence response module determines the delivery time and delivery address based on the response voice data. Goods in the same delivery area are transported to the corresponding intelligent loading device for sequential scanning and recognition, voice notification to the recipient, sorting, and arrangement according to the location and response status of all goods in the same delivery area. The arranged goods are then directly loaded into the delivery vehicle for delivery.

2. The artificial intelligence logistics system according to claim 1, characterized in that: The scanning and weighing mechanism includes a weighing device, a scanner, and an image acquisition device installed at the inlet end of the sorting mechanism. A roller conveyor is installed on top of the weighing device. The image acquisition device is used to collect image data of the goods from multiple angles. The weighing device, scanner, and roller conveyor are all electrically connected to the intelligent loading controller, which determines whether the goods are intact based on the image data.

3. The artificial intelligence logistics system according to claim 2, characterized in that: The delivery vehicle is equipped with a trigger switch and a camera at the door. When the door is open, the camera is activated to collect video data of the package retrieval. The delivery vehicle is equipped with a monitoring controller, which includes a positioning submodule, an alarm submodule, and a Bluetooth connection submodule. The Bluetooth connection submodule communicates with the delivery mobile terminal. When the Bluetooth connection submodule is disconnected, the trigger switch is activated, which then activates the alarm submodule to sound an alarm.

4. A working method for an artificial intelligence logistics system based on claim 3, characterized in that, The specific steps are as follows: Step S1: After the goods are received and counted at the originating station, they are marked with logistics tags. The goods are then transported to the transfer center by transfer vehicles. After identification and sorting at the transfer center, they are transported to the next transfer center by transfer vehicles. The shipper, consignee or logistics provider can obtain the logistics location of the goods by obtaining the positioning module data of the transfer vehicle. Step S2: After the goods arrive at the delivery station, the intelligent sorting equipment at the delivery station sorts the goods according to the area division; Step S3: Transport goods from the same delivery area to the corresponding intelligent loading device for sequential scanning and identification, voice notification to the recipient, sorting, and arrangement based on the location and response status of all goods from the same delivery area. Load the arranged goods directly into the delivery vehicle for delivery.

5. The working method of an artificial intelligence logistics system according to claim 4, characterized in that: In step S3, the weighing device and scanner are used to obtain the quality, type, delivery address, and recipient's contact information of the goods, respectively. After weighing, the goods are transported to the first conveyor on the sorting mechanism. At the same time, the recipient is contacted through the intelligent voice module. The voice playback submodule plays the quality, type, whether the goods are damaged, the estimated delivery time, and the delivery address. The voice receiving and recognition module receives the reply voice data. The artificial intelligence response module determines the delivery time and delivery address based on the reply voice data. The delivery time and location information are confirmed in advance, and a delivery plan is formulated. Based on the delivery address, the goods are transported to the corresponding second conveyor via the first conveyor and the pushing cylinder. The second conveyor starts synchronously with the pushing cylinder. The second conveyor starts at a set time each time the pushing cylinder pushes the goods. The delivery route is planned based on all delivery addresses. After the delivery mobile terminal obtains the delivery route, it provides navigation services through its built-in navigation software. The delivery order is determined based on the delivery trajectory. Goods at the same delivery trajectory node are divided into time windows according to the delivery time. Goods in the same time window are pushed onto the shelf in reverse order of delivery time by the motor screw moving module and the second pushing cylinder. Once the goods in the same time window are arranged, the arranged shelves are transferred to the delivery vehicle using a forklift.

6. The working method of an artificial intelligence logistics system according to claim 4, characterized in that: In step S3, when the delivery vehicle is delivering goods, the location of the delivery vehicle and delivery personnel is tracked and located through the positioning submodule and the delivery mobile terminal. When the delivery vehicle door is opened, the camera automatically activates to collect video data of the pickup. When the Bluetooth connection submodule is disconnected, the trigger switch is activated to start the alarm submodule to sound an alarm. At the same time, the delivery mobile terminal obtains delivery video and performs electronic signature. The shipper, receiver and logistics provider obtain the location and arrival time of the goods by accessing the cloud database.

7. The working method of an artificial intelligence logistics system according to claim 4, characterized in that: In step S3, the first conveyor at the tail end transports the damaged and rejected goods to the return area.

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