Method, system, and computer equipment for identifying cargo transportation by unmanned aerial vehicles

Abstract

The invention relates to an unmanned aerial vehicle cargo transportation identification method and system and computer equipment. Comprising the following steps: firstly triggering an in-cabin reader-writer to obtain initial label information of goods, and laying foundation for subsequent authentication and monitoring; the label password area data is authenticated, the in-transit cargo state is monitored, and the cargo safety in transportation is guaranteed; the anti-counterfeiting of the unmanned aerial vehicle label is authenticated through a ground reader-writer, and the reliability of a transportation main body is ensured; and finally, target label information is obtained to determine the delivery condition, a perfect closed loop of initial loading-in-transit monitoring-remote verification-delivery confirmation is formed, and the safety and efficiency of low-altitude logistics are improved.

Description

(19) State Intellectual Property Office (12) Invention Patent Application (10) Application Publication Number (43) Application Publication Date (21) Application Number 202511860772.7 (22) Application Date 2025.12.11 (71) Applicant Changsha Yingxin Semiconductor Technology Co., Ltd. Address 410000 Room 1901-07, Building 2, Xincheng Science and Technology Park, No. 588, Yuelu West Avenue, Changsha High-tech Development Zone, Changsha, Hunan Province (72) Inventors Li Qian, Tu Zhifang, Liu Jian, Su Lixin, Fang Xiangdong (74) Patent Agency Changsha Xiangzhixing Intellectual Property Agency (General Partnership) 43271 Patent Attorney Liu Bin (51) Int.Cl. G06Q 10 / 0833 (2023.01) G06K 17 / 00 (2006.01) G06Q 30 / 018 (2023.01) (54) Invention Title: Unmanned Aerial Vehicle (UAV) Cargo Transportation Identification Method, System, and Computer Equipment (57) Abstract: This application relates to an unmanned aerial vehicle (UAV) cargo transportation identification method, system, and computer equipment. It includes: first, triggering an in-cabin reader to obtain initial cargo tag information, laying the foundation for subsequent authentication and monitoring; then, authenticating the tag password area data and monitoring the cargo status en route to ensure cargo safety during transportation; next, authenticating the UAV tag anti-counterfeiting through a ground reader to ensure the reliability of the transport entity; and finally, obtaining target tag information to determine delivery status, forming a perfect closed loop of initial loading – en route monitoring – remote verification – delivery confirmation, improving the safety and efficiency of low-altitude logistics. Claims (2 pages), Description (8 pages), Drawings (4 pages), CN 121304012 A 2026.01.09 CN 1 21 30 40 12 A 1. A method for identifying cargo transported by unmanned aerial vehicles (UAVs), characterized in that the method includes: triggering an in-cabin reader to acquire initial tag information of the loaded cargo; the initial tag information includes password area data; performing tag authentication on the password area data and monitoring the cargo status during UAV transport; triggering a ground reader to acquire UAV tag information and performing anti-counterfeiting authentication on the UAV tag information; triggering an in-cabin reader to acquire the target tag information of the cargo again to determine the cargo delivery status. 2. The method according to claim 1, wherein the initial tag information further includes key storage area data; the password area data includes anti-counterfeiting ciphertext and a first random number; the anti-counterfeiting ciphertext is determined based on the key storage area data and the first random number; the tag authentication of the password area data includes: decrypting the anti-counterfeiting ciphertext to obtain plaintext including a second random number; and performing tag authentication based on the first random number and the second random number. 3. The method according to claim 1, wherein monitoring the cargo status during transport by the drone includes:When tag authentication is successful, an actual cargo list is obtained. If the actual cargo list matches a preset task list, the drone is triggered to begin en route transportation. The in-cabin reader is then triggered again to acquire candidate tag information for the cargo during en route transportation according to a preset cycle. The cargo status is determined based on the candidate tag information under different cycles. 4. The method according to claim 3, wherein the cargo status includes loss status and attitude status; determining the cargo status based on candidate tag information under different cycles includes: comparing the actual cargo list with candidate tag information under different cycles to determine the loss status of the cargo in transit; determining the signal strength changes of the candidate tag information under different cycles, and determining the attitude status of the cargo in transit based on the signal strength changes. 5. The method according to claim 1, wherein the drone tag information includes identification area data; anti-counterfeiting authentication of the drone tag information includes: generating a query request and obtaining drone waybill information; identifying the encrypted identifier in the identification area data through a preset encoding rule; and performing anti-counterfeiting authentication on the password area data in the drone tag information based on the drone waybill information and the encrypted identifier. 6. The method according to any one of claims 1 to 5, wherein both the initial label information and the target label information include coded area data; the method further includes: determining the target coding rule corresponding to the coded area data, and verifying the coded area data through the target coding rule; when the verification is successful, changing the shipping information in the database according to a preset task list; and verifying the status of the goods data in the coded area data through the shipping information. 7. A drone cargo transportation identification system, characterized in that the system comprises a cargo subsystem, a drone subsystem, a ground base station subsystem, and an anti-counterfeiting verification platform, wherein: the cargo subsystem is used to trigger an in-cabin reader to acquire initial tag information of the loaded cargo; the initial tag information includes password area data; the drone subsystem is used to monitor the cargo status during drone transportation; the ground base station subsystem is used to trigger a ground reader to acquire drone tag information; the anti-counterfeiting verification platform is used to perform tag authentication on the password area data and anti-counterfeiting authentication on the drone tag information; the cargo subsystem is used to trigger an in-cabin reader to acquire the target tag information of the cargo again to determine the cargo delivery status. 8. The system according to claim 7, characterized in that the cargo subsystem comprises a cargo electronic tag and a wireless communication module; the drone subsystem comprises a drone electronic tag, a tag reader / writer mounted on the drone, and an airborne control unit, wherein the tag reader / writer realizes the information collection of the cargo electronic tag and the control of the airborne control unit; the ground base station subsystem comprises a ground reader / writer and a backend server.9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method according to any one of claims 1 to 6. 10. A computer-readable storage medium storing a computer program thereon, characterized in that the computer program, when executed by a processor, implements the steps of the method according to any one of claims 1 to 6. Claims 2 / 2 Page 3 CN 121304012 A Method, System and Computer Device for Identifying Unmanned Aerial Vehicle Cargo Transportation Technical Field

[0001] This application relates to the field of Internet of Things and smart logistics technology, and in particular to a method, system and computer device for identifying unmanned aerial vehicle cargo transportation. Background Art

[0002] Unmanned aerial vehicle delivery, with its advantage of breaking through the limitations of ground transportation, is increasingly widely used in urban territories, remote areas and emergency material transportation. Electronic tag (RFID) technology, due to its non-contact identification characteristics, has become a potential solution for low-altitude logistics tracking, but the simple labeling mode is difficult to adapt to the complexity of the scenario, and the need for technology upgrade is urgent.

[0003] Currently, basic applications have exposed multiple bottlenecks: the association between cargo and drones relies on manual input on the ground, and the lack of a real-time verification mechanism easily leads to information mismatch; after the cabin door is closed, traditional labeling cannot achieve real-time monitoring of cargo movement, falling, and other states inside the cabin; inspection requires drone landing operations, which seriously restricts logistics efficiency. At the same time, low-altitude logistics has extremely high requirements for data real-time performance and reliability, but the existing RFID applications are not well coordinated with intelligent scheduling, air-to-ground communication and other systems, making it difficult to support the needs of large-scale operation. Promoting the upgrading of RFID technology towards dynamic binding, rapid air reading, etc., has become a key support for the development of the industry. Summary of the Invention

[0004] Based on this, the purpose of this application is to provide a drone logistics real-time monitoring and anti-theft and anti-swapping inspection method that can realize full traceability, status perception, and anomaly warning of cargo from loading to delivery, so as to solve the above-mentioned technical problems.

[0005] In a first aspect, this application provides a drone cargo transportation identification method. This includes: triggering an in-cabin reader to acquire initial tag information of the loaded cargo; the initial tag information includes password area data; performing tag authentication on the password area data and monitoring the cargo status during UAV transportation; triggering a ground reader to acquire UAV tag information and performing anti-counterfeiting authentication on the UAV tag information; triggering an in-cabin reader to acquire the target tag information of the cargo again to determine the cargo delivery status.

[0006] In one embodiment, the initial tag information further includes key storage area data; the password area data includes anti-counterfeiting ciphertext and a first random number; the anti-counterfeiting ciphertext is determined based on the key storage area data and the first random number; the tag authentication of the password area data includes: decrypting the anti-counterfeiting ciphertext to obtain a secondPlaintext of random numbers; tag authentication based on the first random number and the second random number.

[0007] In one embodiment, monitoring the cargo status of a drone during transit includes: obtaining an actual loaded cargo list when tag authentication is successful, and triggering the drone to perform transit when the actual loaded cargo list is the same as a preset task list; triggering the in-cabin reader again to obtain candidate tag information of the cargo during transit according to a preset cycle; determining the cargo status based on the candidate tag information under different cycles.

[0008] In one embodiment, the cargo status includes loss status and attitude status; determining the cargo status based on the candidate tag information under different cycles includes: comparing the actual loaded cargo list and the candidate tag information under different cycles to determine the loss status of the cargo during transit; determining the signal strength changes of the candidate tag information under different cycles, and determining the attitude status of the cargo during transit based on the signal strength changes. Instruction Manual 1 / 8 Page 4 CN 121304012 A

[0009] In one embodiment, the drone tag information includes identification area data; anti-counterfeiting authentication of the drone tag information includes: generating a query request and obtaining drone waybill information; identifying the encrypted identifier in the identification area data through a preset encoding rule; and performing anti-counterfeiting authentication on the password area data in the drone tag information based on the drone waybill information and the encrypted identifier.

[0010] In one embodiment, both the initial tag information and the target tag information include encoding area data; the method further includes: determining the target encoding rule corresponding to the encoding area data, and verifying the encoding area data through the target encoding rule; when the verification is passed, changing the shipping information in the database according to the preset task list; and performing status verification on the cargo data in the encoding area data through the shipping information.

[0011] In a second aspect, this application also provides a drone cargo transportation identification system. The system includes a cargo subsystem, a drone subsystem, a ground base station subsystem, and an anti-counterfeiting verification platform, wherein: the cargo subsystem is used to trigger the in-cabin reader to obtain the initial tag information of the loaded cargo; the initial tag information includes password area data; the drone subsystem is used to monitor the cargo status of the drone during transportation; the ground base station subsystem is used to trigger the ground reader to obtain the drone tag information; the anti-counterfeiting verification platform is used to perform tag authentication on the password area data and anti-counterfeiting authentication on the drone tag information; the cargo subsystem is used to trigger the in-cabin reader to obtain the target tag information of the cargo again to determine the cargo delivery status.

[0012] In one embodiment, the cargo subsystem includes a cargo electronic tag and a wireless communication module; the drone subsystem includes a drone electronic tag, a tag reader / writer mounted on the drone, and an airborne control unit, the tag reader / writer...The writing device realizes the information collection of cargo electronic tags and the control of the airborne control unit; the ground base station subsystem includes a ground reader and a back-end server.

[0013] In a third aspect, this application also provides a computer device. The computer device includes a memory and a processor, the memory stores a computer program, and the processor executes the computer program to realize the steps of the above-mentioned UAV cargo transportation identification method.

[0014] In a fourth aspect, this application also provides a computer-readable storage medium. The computer-readable storage medium stores a computer program, and the computer program is executed by the processor to realize the steps of the above-mentioned UAV cargo transportation identification method.

[0015] The above-mentioned UAV cargo transportation identification method, system, computer device and readable storage medium, by first triggering the in-cabin reader to obtain the initial tag information of the cargo, laying the foundation for subsequent authentication and monitoring; then authenticating the tag password area data and monitoring the status of the cargo in transit, ensuring the safety of the cargo during transportation; then authenticating the anti-counterfeiting of the UAV tag through the ground reader to ensure the reliability of the transportation entity; finally obtaining the target tag information to determine the delivery status, forming a perfect closed loop of initial loading - in-transit monitoring - remote verification - delivery confirmation, improving the safety and efficiency of low-altitude logistics.

[0016] Figure 1 is a structural schematic diagram of a drone cargo transportation identification system in one embodiment; Figure 2 is a flowchart of a drone cargo transportation identification method in one embodiment; Figure 3 is a principle schematic diagram of a drone cargo transportation identification system in one embodiment; Figure 4 is a structural schematic diagram of the data area of ​​a cargo electronic tag in one embodiment; Figure 5 is an internal structural diagram of a computer device in one embodiment. Specification 2 / 8 pages 5 CN 121304012 A Detailed Description

[0017] In order to make the purpose, technical solution and advantages of this application clearer, the following describes this application in further detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0018] This application aims to solve the technical difficulties of drone identification, real-time monitoring of cargo loading status, dynamic verification during drone flight, and remote inspection and supervision of transported goods in conjunction with customs procedures through a drone cargo transportation identification system based on ultra-high frequency RFID technology. Therefore, this application designs a drone cargo transportation identification system, which includes a cargo subsystem, a drone subsystem, a ground base station subsystem and an anti-counterfeiting verification platform.

[0019] Wherein: a cargo subsystem, used to trigger the in-cabin reader to obtain the initial tag information of the loaded cargo; the initial tag information includes password area data; a drone subsystem, used to monitor the cargo status of the drone during transit; a ground base station subsystem, used to trigger the ground reader to obtain drone tag information; and an anti-counterfeiting verification platform, used to process the password area data.Tag authentication and anti-counterfeiting authentication of drone tag information; cargo subsystem, used to trigger the in-cabin reader to obtain the target tag information of the cargo again to determine the delivery status of the cargo.

[0020] As shown in Figure 1, Figure 1 is a structural schematic diagram of a drone cargo transportation identification system in one embodiment. Cargo management is realized through the cargo subsystem, with the attached electronic tag of the cargo serving as the unique identification of the cargo, and the automatic scanning of the tag ensures efficient and convenient customs clearance; drone management is realized through the drone subsystem, with the attached electronic tag of the drone serving as the identification of the drone, and the onboard tag reader monitoring the cargo's information in transit. When the identification and verification results are uniformly uploaded to the management platform, the system can realize the identification and tracking of cargo and drones, flight safety management and monitoring, privacy protection and data security, automated inventory, and improved supply chain transparency.

[0021] Therefore, this system realizes a low-altitude digital management and service platform that integrates RFID + drone system to achieve automatic identification of drones, real-time monitoring of cargo status, and seamless inspection throughout the process. Based on RFID, a virtual port is built as the core of intelligent supervision of cross-border logistics, creating an efficient cross-border logistics model of "one declaration, one inspection, and one release". The sensing technology is integrated into the business process. By integrating RFID technology into the entire business process of "loading-transportation-inspection-delivery" in drone logistics, and defining specific methods and steps for each link based on RFID scanning, a complete and automated management method is formed, rather than a fragmented application of technology.

[0022] In one embodiment, the cargo subsystem includes cargo electronic tags and a wireless communication module; the drone subsystem includes drone electronic tags, tag reading and writing devices mounted on the drone, and an airborne control unit. The tag reading and writing devices realize the information collection of cargo electronic tags and the control of the airborne control unit; the ground base station subsystem includes a ground reader and a back-end server.

[0023] Specifically, the drone subsystem includes drone electronic tags with anti-counterfeiting encryption function installed on the drone shell as drone electronic license plates, an integrated tag reading and writing device installed on the bottom of the drone, and an airborne control unit connected to the flight control system. When performing flight missions, the unique code tags of the drone and cargo are automatically dynamically bound and verified to ensure that "the cargo matches the manifest". The cargo subsystem affixes or embeds electronic tags with anti-counterfeiting and encryption functions to each piece of cargo. The tag reader / writer, mounted on the drone, triggers an in-cabin reader / writer to scan the cargo tags in real time during flight, thus collecting information from the electronic tags. Cargo tag data and status information are reported to the ground-based backend server in real time via a wireless communication module. This provides unprecedented transparency regarding the status of cargo in transit.

[0024] The ground base station subsystem includes RFID base stations set up at drone take-off and landing points and customs inspection points, as well as a backend server.Servers. RFID base stations are usually UHF devices with long-distance, multi-tag group reading capabilities. When a drone flies to its take-off and landing point or route point, it does not need to land or stop. The ground readers in the RFID base stations deployed at the site can automatically read the electronic tags of drones flying over their identification area from a distance (e.g., 15-20 meters), thereby quickly completing identity authentication, flight recording, and regulatory inspection, greatly improving the efficiency of cross-border transportation.

[0025] Therefore, the cloud-based collaborative remote inspection method in this system proposes a "ground-air-cloud" collaborative inspection method. The ground equipment is only responsible for collecting the drone's identity ID, while the complex cargo information matching and permission judgment are completed in the cloud. This method realizes non-contact, non-stop, and remote inspection of high-speed moving targets, which is a major innovation in the field of low-altitude cross-border logistics.

[0026] In one embodiment, as shown in FIG2, a method for identifying cargo transport by unmanned aerial vehicles (UAVs) is provided, which is implemented through a tag anti-counterfeiting authentication system, including the following steps: Step 202, triggering the in-cabin reader to obtain the initial tag information of the loaded cargo.

[0027] Wherein, all cargo in the cabin is affixed with RFID electronic tags; the initial tag information in the RFID electronic tags includes password area data, which is data read from the User area of ​​the electronic tag.

[0028] Specifically, as shown in FIG3, FIG3 is a schematic diagram of the principle of the UAV cargo transport identification system. After the initial loading is completed and the UAV cargo door is closed, the in-cabin reader on the UAV is triggered to work and read the initial tag information bound to all cargo in the cabin at once. The initial tag information usually contains multiple data area information, including TID area data, EPC area data, etc., as shown in FIG4. FIG4 is a schematic diagram of the structure of the data area of ​​the cargo electronic tag in one embodiment.

[0029] In one embodiment, the cargo electronic tag shown in Figure 4, such as the C899 electronic tag, not only possesses all the functional characteristics of ordinary electronic tags, but also has a built-in unique key "fingerprint". Hardware encryption technology is used to prevent tag forgery and data tampering, providing four lines of defense (TID identifier + random number + ciphertext + special instructions) to ensure data authenticity, fundamentally eliminating the possibility of chip forgery and tampering.

[0030] Step 204: Tag authentication is performed on the password area data, and the cargo status during UAV transport is monitored.

[0031] Specifically, after reading the initial tag information, it is uploaded to the anti-counterfeiting verification platform via the wireless communication module. The anti-counterfeiting verification platform performs tag authentication on the password area data to verify the authenticity and validity of the tag. When the tag authentication is successful, the actual loaded cargo list is obtained. Finally, the UAV is triggered to perform in-transit transport based on the actual loaded cargo list. During the UAV flight, the in-cabin reader is triggered again to read the candidate tag information of the cargo during in-transit transport, and then the candidate tag information is used to determine the cargo status.The system monitors the cargo information and actual cargo list during real-time transportation by the drone to determine whether the cargo is lost, whether the cargo's "posture" has shifted, or whether it has tipped over.

[0032] In one embodiment, the anti-counterfeiting verification system software, database, and server with independently deployed HSM cryptographic machine equipment in the anti-counterfeiting verification platform can be used to implement anti-counterfeiting verification services. The HSM cryptographic machine is a host security module with modern cryptographic technology as its core, and it is a hardware device with physical security protection measures. It has an independent key management mechanism, which can encapsulate the cryptographic operation process inside it to provide secure application layer cryptographic services for business systems, including key management, message verification, data encryption, signature generation and verification, etc., to ensure the security, validity, integrity, and non-repudiation of the entire process of business data generation, transmission, reception, and processing.

[0033] Step 206: Trigger the ground reader to obtain the drone tag information and perform anti-counterfeiting authentication on the drone tag information.

[0034] Specifically, when the drone flies over the RFID checkpoint deployed on the ground, the ground reader is triggered to read the drone's electronic tag from a distance and upload the drone tag information to the anti-counterfeiting verification platform. The anti-counterfeiting verification platform performs anti-counterfeiting authentication on the data area information in the drone tag information. After the authentication is passed, the drone can be quickly inspected and released without interception. It is easy to understand that the anti-counterfeiting verification platform can be deployed in the checkpoint management system or in the back-end server or other cloud platforms. Manual 4 / 8 pages 7 CN 121304012 A

[0035] Step 208, trigger the in-cabin reader to obtain the target tag information of the cargo again to determine the delivery status of the cargo.

[0036] Specifically, when the drone arrives at the destination and the cargo door is opened, the in-cabin reader is triggered to scan the target tag information of the cargo again. If the scanned target tag information indicates "empty cargo", then the cargo "delivery successful" signal is generated by combining the relevant information of the destination and uploaded to the cloud platform, thus closing the loop of this waybill process.

[0037] In the above-mentioned UAV cargo transportation identification method, the initial tag information of the cargo is obtained by first triggering the in-cabin reader to lay the foundation for subsequent authentication and monitoring; then the tag password area data is authenticated and the status of the cargo in transit is monitored to ensure the safety of the cargo during transportation; next, the anti-counterfeiting of the UAV tag is authenticated by the ground reader to ensure the reliability of the transportation entity; finally, the target tag information is obtained to determine the delivery status, forming a perfect closed loop of initial loading - in-transit monitoring - remote verification - delivery confirmation, which improves the safety and efficiency of low-altitude logistics.

[0038] In one embodiment, tag authentication of the password area data includes: decrypting the anti-counterfeiting ciphertext to obtain plaintext including a second random number; and performing tag authentication based on the first random number and the second random number.

[0039] Wherein, the initial tag information also includes key storage area data, as shown in Figure 4; the password area data includes anti-counterfeiting...The ciphertext and the first random number; the anti-counterfeiting ciphertext is determined based on the data in the key storage area and the first random number.

[0040] Specifically, when reading the electronic tag of the loaded goods, the in-cabin reader generates a first random number before each reading operation; the first random number is sent as a parameter to the electronic tag within the radio frequency range by transmitting a radio frequency signal; the electronic tag of the loaded goods receives the radio frequency signal to charge, and after obtaining the first random number sent by the reader, it uses the built-in key in the key storage area to encrypt the first random number to obtain the anti-counterfeiting ciphertext; the electronic tag of the loaded goods stores the first random number and the generated anti-counterfeiting ciphertext in the password area, and combines it with data from other areas to send back the initial tag information to the reader. After obtaining the initial tag information, the in-cabin reader reports it to the anti-counterfeiting verification platform. The anti-counterfeiting verification platform parses the tag information of the in-cabin reader, and the verification logic is to decrypt the anti-counterfeiting ciphertext to obtain plaintext including the second random number, and check whether the first random number and the decrypted second random number are consistent. If they are consistent, the tag authentication is passed.

[0041] In this embodiment, the anti-counterfeiting ciphertext is first obtained by encrypting with a first random number, and then the plaintext containing a second random number is decrypted to achieve the tag authentication of two random numbers, thereby determining whether the drone will take off. Therefore, the dual random number verification strengthens the verification of the tag's authenticity, and combined with key protection, improves the anti-counterfeiting security and ensures the reliability of subsequent information reading.

[0042] In one embodiment, monitoring the cargo status of the drone during transit includes: obtaining the actual loaded cargo list when the tag authentication is successful, and triggering the drone to carry out transit when the actual loaded cargo list is the same as the preset task list; triggering the in-cabin reader to obtain candidate tag information of the cargo during transit according to a preset cycle; and determining the cargo status based on the candidate tag information under different cycles.

[0043] Specifically, when the tag authentication is successful, the actual loaded cargo list is obtained, and the actual loaded cargo list is compared with the preset task list. If the comparison is consistent, a verification success command is generated, authorizing the drone to carry out transit; if they are inconsistent, a verification failure alarm is generated, prompting the staff to open the cabin for re-inspection. During the drone's flight, the in-cabin reader is triggered again at preset intervals to read candidate tag information of the goods in transit. Then, based on the candidate tag information under different intervals and the actual loaded goods list, the status of the goods in transit is dynamically monitored by the drone to determine the status of the goods.

[0044] In this embodiment, the actual loaded goods list is first obtained through tag authentication. After it matches the preset task list, transportation is triggered to ensure that the order matches; then, candidate tag information of the goods in transit is obtained at preset intervals, and the status of the goods is determined based on the information of different intervals, forming a link of order verification - triggering transportation - periodic monitoring to ensure the accuracy of transportation and the safety of the goods.

[0045] In one embodiment, the cargo status is determined based on candidate tag information under different periods, including: comparing the cargo list on page 5 / 8 of the actual specification (CN 121304012 A) with the candidate tag information under different periods to determine the loss of cargo in transit; determining the signal strength changes of candidate tag information under different periods, and determining the attitude of cargo in transit based on the signal strength changes.

[0046] Wherein, cargo status includes loss status and attitude status.

[0047] Specifically, during the flight of the UAV, the in-cabin reader periodically transmits radio frequency signals and scans the cargo tags in the cabin at preset time intervals. The scan results are compared with the actual cargo list. If any cargo electronic tag is found to be missing, it is determined that cargo in transit is lost. An abnormal cargo status alarm is immediately generated, and the alarm information, lost tag ID, and current location information are uploaded to the backend server through the wireless communication module. In addition, the signal strength changes of candidate tag information under different periods are determined, and the attitude of cargo in transit is determined based on the trend of signal strength changes. For example, if the signal strength weakens, it indicates that the cargo has moved away from the in-cabin reader.

[0048] In this embodiment, by periodically scanning during flight and comparing with a baseline list of actual loaded cargo, it is possible not only to detect whether cargo has fallen off, but also to provide a data basis for future cargo attitude judgment by analyzing data such as signal strength changes, thus realizing dynamic periodic monitoring and intelligent judgment of UAV transportation in transit.

[0049] In one embodiment, UAV tag information includes identification area data; anti-counterfeiting authentication of UAV tag information includes: generating a query request and obtaining UAV waybill information; identifying the encrypted identifier in the identification area data through a preset encoding rule; and performing anti-counterfeiting authentication on the password area data based on the UAV waybill information and the encrypted identifier.

[0050] Wherein, the identification area data is the TID area data as shown in Figure 4; the preset encoding rule is the TID area encoding rule including tag type, manufacturer code, chip model and unique identification code, which can ensure global uniqueness.

[0051] Specifically, anti-counterfeiting authentication of UAV tag information is required during remote inspection. The anti-counterfeiting verification platform generates and sends query requests to the backend server and other cloud platforms to obtain the drone waybill information, cargo list, and real-time status corresponding to the drone. After confirming that the drone waybill information is correct, the anti-counterfeiting verification platform also identifies the encrypted identifier in the label area data through preset coding rules. When the encrypted identifier is read and it is confirmed that the label is encrypted, an access password is required. That is, only authorized devices can access the password area data in the drone label information. After confirming that the user has access rights to the drone, the inspection point personnel can complete the rapid inspection and release without intercepting the drone.

[0052] In this embodiment, a query request is first generated to obtain the drone waybill information, then the encrypted identifier in the identifier area data is identified according to the preset coding rule, and finally the password area data is authenticated by combining the waybill information and the encrypted identifier. This forms a multi-layer verification mechanism, effectively preventing label forgery and ensuring the authenticity of waybill and cargo information.

[0053] In one embodiment, both the initial label information and the target label information include the coding area data; the above method also includes: determining the target coding rule corresponding to the coding area data, and verifying the coding area data through the target coding rule; when the verification is passed, the shipping information in the database is changed according to the preset task list; the status of the cargo data in the coding area data is verified through the shipping information.

[0054] Wherein, the coding area data is the data read from the EPC area of ​​the electronic tag. Referring to Figure 4, the target coding rule is the coding area EPC coding rule. Before using electronic tags to manage items, the items need to be labeled. After labeling, the coding area data information of the tag is entered into the database. The coding area is associated with the basic information of the item as a unique identifier, forming a one-item-one-code binding relationship.

[0055] Specifically, regardless of whether the goods are loaded and dispatched, transported en route, or delivered at the final stage, the remote status comparison and verification of the goods can be performed based on the tag information read from the goods' electronic tags. When loading and dispatching, the coding area data in the goods' electronic tags is scanned to determine whether the coding area data conforms to the corresponding target coding rules. If the verification is successful, the shipping information in the database will be changed according to the preset task list. Then, during the goods' transport or at the final delivery, the coding area data in the goods' electronic tags will be read again. After further determining whether the coding area data conforms to the corresponding target coding rules, the shipping information corresponding to the current goods will be compared to see if it is in the "outbound" state. If not, it is identified as goods that are not allowed to be released, goods that were missed in the statistics when loading and dispatching, or other abnormal situations; otherwise, it is allowed to be released without intercepting the drone or can be delivered directly.

[0056] In this embodiment, by repeatedly verifying the data in the coded area during transportation, and then changing the shipping information according to the order, the status of the cargo data can be verified, thereby achieving linkage verification of data, orders, and shipping status, ensuring information consistency, and improving the accuracy and standardization of cargo management.

[0057] It should be understood that although the steps in the flowcharts involved in the above embodiments are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and these steps can be executed in other orders.

[0058] Based on the same inventive concept, this application embodiment also provides a method for implementing the above-mentioned unmanned aerial vehicle.A drone cargo transportation identification device for a cargo transportation identification method. The solution provided by this device is similar to the solution described in the above method. Therefore, the specific limitations of one or more drone cargo transportation identification device embodiments provided below can be found in the limitations of the drone cargo transportation identification method above, and will not be repeated here.

[0059] In one embodiment, a drone cargo transportation identification device is provided, including: a loading verification module, an in-transit monitoring module, a remote inspection module, and a delivery confirmation module, wherein: the loading verification module is used to trigger the in-cabin reader to obtain the initial tag information of the loaded cargo; the initial tag information includes password area data; and the password area data is used for tag authentication.

[0060] The in-transit monitoring module is used to monitor the cargo status of the drone during in-transit transportation.

[0061] The remote inspection module is used to trigger the ground reader to obtain the drone tag information and perform anti-counterfeiting authentication on the drone tag information.

[0062] The delivery confirmation module is used to trigger the in-cabin reader to obtain the target tag information of the cargo again and determine the cargo delivery status.

[0063] The various modules in the above-mentioned UAV cargo transportation identification can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device in hardware form, or stored in the memory of the computer device in software form, so that the processor can call and execute the operations corresponding to each module.

[0064] In one embodiment, a computer device is provided, which can be a server, and its internal structure diagram is shown in Figure 5. The computer device includes a processor, memory, input / output interface (I / O), and communication interface. The processor, memory, and I / O interface are connected through a system bus, and the communication interface is connected to the system bus through the I / O interface. The processor of the computer device provides computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The database of the computer device stores tag information. The input / output interface of the computer device is used for information exchange between the processor and external devices. The communication interface of the computer device is used to communicate with external terminals via a network connection. When the computer program is executed by the processor, it implements a method for identifying cargo transportation by unmanned aerial vehicles.

[0065] Those skilled in the art will understand that the structure shown in FIG5 is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied.It may include more or fewer components than shown in the figure, or combine certain components, or have different component arrangements. Specification 7 / 8 pages 10 CN 121304012 A

[0066] In one embodiment, a computer device is also provided, including a memory and a processor, the memory storing a computer program, the processor executing the computer program to implement the steps in the above method embodiments.

[0067] In one embodiment, a computer-readable storage medium is provided, storing a computer program, the computer program being executed by a processor to implement the steps in the above method embodiments.

[0068] In one embodiment, a computer program product or computer program is provided, the computer program product or computer program including computer instructions stored in a computer-readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, the processor executes the computer instructions, causing the computer device to perform the steps in the above method embodiments.

[0069] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware, the computer program can be stored in a non-volatile computer-readable storage medium, and the computer program, when executed, may include the processes of the embodiments of the above methods. Any references to memory, database, or other media used in the embodiments provided in this application may include at least one of non-volatile and volatile memory. Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetically variable memory (MRAM), ferroelectric random access memory (FRAM), phase-change memory (PCM), graphene memory, etc. Volatile memory may include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM may be in various forms, such as static random access memory (SRAM) or dynamic random access memory.(Dynamic Random Access Memory, DRAM), etc. The databases involved in the various embodiments provided in this application may include at least one of relational databases and non-relational databases. Non-relational databases may include distributed databases based on blockchain, etc., and are not limited thereto. The processors involved in the various embodiments provided in this application may be general-purpose processors, central processing units, graphics processors, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited thereto.

[0070] The technical features of the above embodiments can be combined arbitrarily. In order to simplify the description, not all possible combinations of the technical features in the above embodiments are described. However, as long as the combination of these technical features does not contradict each other, it should be considered as being within the scope of this specification.

[0071] The above embodiments only illustrate several implementation methods of this application. The descriptions are relatively specific and detailed, but they should not be construed as limiting the scope of the patent of this application. It should be noted that for those skilled in the art, several modifications and improvements can be made without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims. Instruction Manual Page 8 / 8, 11 CN 121304012 A, Figure 1; Instruction Manual Figure 1 / 4, 12 CN 121304012 A, Figure 2; Instruction Manual Figure 2 / 4, 13 CN 121304012 A, Figure 3; Figure 4; Instruction Manual Figure 3 / 4, 14 CN 121304012 A, Figure 5; Instruction Manual Figure 4 / 4, 15 CN 121304012 A ABSTRACT This application relates to a method, system, and computer equipment for identifying cargo transportation by unmanned aerial vehicles (UAVs), comprising triggering an onboard reader to acquire the initial tag information of the cargo, which establishes a foundation for subsequent authentication and monitoring; It then proceeds with authenticating data in the tagpassword area and monitoring the status of the cargo during transportation to ensure safety; Additionally, a ground- based reader is used to authenticate the UAV tag for anti-counterfeiting, ensuring the reliability of the transportation entity; Finally, target tag information is acquired to confirm delivery status, forming a complete closed-loop process covering initial loading - in-transit monitoring - remote verification - delivery confirmation, thereby enhancing the safety and efficiency of low-altitude logistics operations.

Claims

1. A method for identifying cargo transported by unmanned aerial vehicles (UAVs), characterized in that, The method includes: The in-cabin reader is triggered to obtain the initial tag information of the loaded cargo; the initial tag information includes password area data; The data in the password area is tagged and authenticated, and the status of the cargo is monitored during the transport by the drone. The ground reader is triggered to acquire the drone tag information and perform anti-counterfeiting authentication on the drone tag information; The in-cabin reader is triggered to retrieve the target tag information of the cargo again to determine the delivery status of the cargo.

2. The method according to claim 1, characterized in that, The initial tag information also includes key storage area data; the password area data includes anti-counterfeiting ciphertext and a first random number; The anti-counterfeiting ciphertext is determined based on the data in the key storage area and the first random number. The tag authentication of the password area data includes: The anti-counterfeiting ciphertext is decrypted to obtain plaintext including the second random number; Tag authentication is performed based on the first random number and the second random number.

3. The method according to claim 1, characterized in that, The monitoring of cargo status during transport by the drone includes: When the tag authentication is successful, the actual loaded cargo list is obtained, and when the actual loaded cargo list is the same as the preset task list, the drone is triggered to carry out on-the-way transportation. The in-cabin reader is triggered again to obtain candidate tag information of the goods during transit according to the preset cycle; The status of goods is determined based on candidate tag information under different periods.

4. The method according to claim 3, characterized in that, The cargo status includes loss status and attitude status; the cargo status is determined based on candidate tag information at different periods, including: By comparing the actual loaded cargo list with the candidate tag information under different periods, the loss of goods in transit can be determined. The signal strength changes of candidate tag information under different periods are determined, and the attitude of the goods in transit is determined based on the signal strength changes.

5. The method according to claim 1, characterized in that, The drone tag information includes identification area data; anti-counterfeiting authentication of the drone tag information includes: Generate a query request and retrieve drone waybill information; The encrypted identifier in the identifier area data is identified by a preset encoding rule; Based on the drone waybill information and encrypted identifier, anti-counterfeiting authentication is performed on the password area data in the drone tag information.

6. The method according to any one of claims 1 to 5, characterized in that, Both the initial label information and the target label information include encoded region data; the method further includes: Determine the target encoding rule corresponding to the encoded area data, and verify the encoded area data using the target encoding rule; When the verification is successful, the shipping information in the database is updated according to the preset task list; The status of the goods data in the coded area is verified using the shipping information.

7. A drone cargo transportation identification system, characterized in that, The system includes a cargo subsystem, a drone subsystem, a ground base station subsystem, and an anti-counterfeiting verification platform, wherein: The cargo subsystem is used to trigger the in-cabin reader to obtain the initial tag information of the loaded cargo; the initial tag information includes password area data; The drone subsystem is used to monitor the status of cargo during drone transport. The ground base station subsystem is used to trigger the ground reader to obtain the UAV tag information; The anti-counterfeiting verification platform is used to perform tag authentication on the password area data and anti-counterfeiting authentication on the drone tag information; The cargo subsystem is used to trigger the in-cabin reader to retrieve the target tag information of the cargo again and determine the cargo delivery status.

8. The system according to claim 7, characterized in that, The cargo subsystem includes cargo electronic tags and a wireless communication module; the UAV subsystem includes UAV electronic tags, tag reading and writing devices mounted on the UAV, and an airborne control unit, wherein the tag reading and writing devices realize the collection of information from the cargo electronic tags and the control of the airborne control unit; the ground base station subsystem includes a ground reader and a backend server.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 6.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

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