A cargo box delivery system and control method based on logistics drones

Abstract

The present invention relates to the field of drone logistics technology, and provides a cargo box delivery control system and method based on a logistics drone. Transport orders and route information are received through a communication module, and a self-check is performed before takeoff to ensure that the power system, flight control system, redundant modules, mounting mechanism, and sensor are in normal condition. During flight, the drone monitors the status of each system in real time, responds to abnormal situations in a timely manner, flies to the target delivery area, and after confirming that the cargo box meets the delivery conditions, releases the locking device to deliver the cargo box. If an abnormality is detected, the system will adopt an emergency response strategy to ensure the safe delivery of the cargo box. After the delivery is completed, the flight trajectory, delivery data, and image data will be uploaded to the cloud platform to complete the delivery archiving and receipt confirmation. This improves the safety and reliability of the logistics drone cargo delivery process.

Description

Technical Field

[0001] The present invention relates to the field of drone logistics technology, and in particular to a cargo box delivery control system and control method based on a logistics drone with dual mounting locking, abnormal response and safety redundancy mechanisms. Background Art

[0002] With the booming development of e-commerce and smart logistics, drones are increasingly being used in logistics distribution, emergency supplies transport, and urban terminal delivery. However, while existing logistics drone systems are equipped with basic flight control, path planning, and simple cargo attachment devices, they still have many deficiencies in system safety and reliability. In particular, they lack effective prevention and response mechanisms for emergencies such as cargo falling from high altitudes, single-point failures in flight control systems, and mechanical failures of cargo doors. This not only threatens the safety of personnel and property on the ground, but can also result in cargo losses and damage corporate reputation.

[0003] In summary, existing logistics drones have problems such as insufficient reliability of cargo mounting mechanisms, insufficient redundancy of key systems, and imperfect emergency response mechanisms. Summary of the Invention

[0004] In response to the shortcomings of the above-mentioned existing technologies, the present invention provides a cargo box delivery control system and control method based on logistics drones, so that the logistics drones have a reliable cargo mounting mechanism, highly redundant key systems, and a complete emergency response mechanism, thereby improving the safety and reliability of the logistics drone cargo delivery process.

[0005] In a first aspect, the present invention provides a cargo box delivery control method based on a logistics drone, comprising:

[0006] The system receives transport order information and route information from the cloud platform via the communication module and performs a self-test on the power system, flight control system, redundancy module, mounting mechanism, and sensors before takeoff. If the self-test results are normal, the system controls the mounting mechanism to load the cargo box and performs a first locking and a second locking operation on the mounting mechanism using a first locking device and a second locking device, respectively.

[0007] Based on the received route information, the aircraft autonomously takes off and navigates to a target delivery area to deliver the cargo box loaded by the mounting mechanism; during flight, the aircraft monitors the status of the power system, the flight control system, the redundant module, the mounting mechanism, and the sensor in real time; and when an anomaly is detected, adopts an appropriate emergency response strategy based on the type of anomaly;

[0008] After arriving at the target delivery area, the drone hovers in the air and performs a safety scan of the ground environment; if the delivery conditions are met, the drone releases the first lock on the mounting mechanism by the first locking device, and detects whether the second locking device is in a safety standby state;

[0009] After confirming that the cargo box is safe for delivery and detecting that the second locking device is in a safe standby state, the second lock performed by the second locking device on the mounting mechanism is released to open the mounting mechanism to deliver the cargo box; if an abnormality occurs during the delivery process, a re-locking strategy is executed.

[0010] After the cargo box is delivered, the flight trajectory, delivery data and image data of the delivery location are uploaded to the cloud platform to complete the delivery archiving and receipt confirmation.

[0011] In a second aspect, a cargo box delivery control system based on a logistics drone is provided, wherein the cargo box delivery control system based on a logistics drone uses the above-mentioned cargo box delivery control method based on a logistics drone.

[0012] Compared with the prior art, the present invention has the following beneficial effects:

[0013] The cargo box delivery control system and control method for a logistics drone provided by the present invention utilizes a dual mounting locking mechanism to securely lock the mounting mechanism during cargo box loading. During flight, the status of the power system, flight control system, redundant modules, mounting mechanism, and sensors are monitored in real time. When an anomaly is detected, the system can quickly switch to the corresponding emergency strategy based on the type of anomaly. Before the cargo box is released, the ground environment is scanned to assess the release conditions, and the first and second locking devices are gradually released to ensure that the release operation is only carried out in a safe state. If an anomaly is detected during the release process, a relocking strategy is automatically executed to prevent the cargo from accidentally falling. Through a communication module, the system can receive and execute route missions, while simultaneously uploading and archiving relevant data during the delivery process to improve logistics efficiency. This results in a logistics drone with a reliable cargo mounting mechanism, highly redundant key systems, and a comprehensive emergency response mechanism, improving the safety and reliability of the cargo delivery process using logistics drones. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of the present invention. The exemplary embodiments of the present invention and their description are used to explain the present invention and do not constitute an undue limitation of the present invention. Some specific embodiments of the present invention will be described in detail in an illustrative and non-restrictive manner with reference to the drawings. The same reference numerals in the drawings indicate the same or similar components or parts. It should be understood by those skilled in the art that these drawings are not necessarily drawn to scale. In the drawings:

[0015] Figure 1 This is a flow chart of a method for controlling the delivery of cargo boxes by a logistics drone according to an embodiment of the present invention;

[0016] Figure 2 This is a structural diagram of a logistics drone mounting mechanism according to an embodiment of the present invention.

[0017] Description of reference numerals:

[0018] 110. UAV body;

[0019] 111, mounting mechanism; 1110, driving motor; 1111, first locking device; 1112, second locking device;

[0020] 112. First displacement sensor;

[0021] 113. Second displacement sensor;

[0022] 114. Cargo box track;

[0023] 115. Cargo box. DETAILED DESCRIPTION

[0024] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of the present invention.

[0025] Example 1

[0026] See also Figure 1-Figure 2This embodiment provides a cargo box delivery control method based on a logistics drone, which receives transportation order information and route information from a cloud platform through a communication module, and performs a self-check on the power system, flight control system, redundant module, mounting mechanism and sensor before takeoff; if the self-check result is normal, the mounting mechanism is controlled to load the cargo box, and the mounting mechanism is correspondingly locked by a first locking device and a second locking device; according to the received route information, the drone takes off autonomously and navigates to a target delivery area to deliver the cargo box loaded by the mounting mechanism; during the flight, the power system, the flight control system, the redundant module, the The status of the mounting mechanism and the sensor; when an anomaly is detected, the corresponding emergency response strategy is adopted according to the type of anomaly; after the flight reaches the target delivery area, it hovers in the air and performs a safety scan of the ground environment; if the delivery conditions are met, the first lock performed on the mounting mechanism by the first locking device is released, and the second locking device is detected to be in a safe standby state; after confirming that the cargo box is safe for delivery and detecting that the second locking device is in a safe standby state, the second lock performed on the mounting mechanism by the second locking device is released to open the mounting mechanism to deliver the cargo box; if an anomaly occurs during the delivery process, a re-locking strategy is executed. After the delivery of the cargo box is completed, the flight trajectory, delivery data, and image data of the delivery location are uploaded to the cloud platform to complete the delivery archiving and receipt confirmation.

[0027] See also Figure 1-Figure 2 The cargo box delivery control method based on the logistics drone provided in this embodiment includes the following steps:

[0028] S101. Receive transport order information and route information from a cloud platform via a communication module, and perform a self-test on the power system, flight control system, redundancy module, mounting mechanism, and sensors before takeoff. If the self-test results are normal, control the mounting mechanism to load the cargo box and perform a first locking and a second locking operation on the mounting mechanism using a first locking device and a second locking device, respectively.

[0029] S102: Autonomously take off and navigate to a target delivery area to deliver the cargo box loaded by the mounting mechanism based on the received route information; during flight, monitor the status of the power system, the flight control system, the redundant module, the mounting mechanism, and the sensor in real time; and when an abnormality is detected, adopt an appropriate emergency response strategy based on the type of abnormality;

[0030] S103. After arriving at the target delivery area, the aircraft hovers in the air and performs a safety scan of the ground environment. If the delivery conditions are met, the aircraft releases the first lock on the mounting mechanism by the first locking device, and checks whether the second locking device is in a safety standby state.

[0031] S104: After confirming that the cargo box is safe for delivery and detecting that the second locking device is in a safe standby state, releasing the second lock on the mounting mechanism by the second locking device, thereby opening the mounting mechanism to deliver the cargo box; if an abnormality occurs during the delivery process, executing a relocking strategy;

[0032] S105. After the cargo box is delivered, the flight trajectory, delivery data, and image data of the delivery location are uploaded to the cloud platform to complete delivery archiving and receipt confirmation;

[0033] It should be noted that in step S101, the process of receiving transport order information and route information from the cloud platform via the communication module not only obtains mission parameters but also provides critical paths and mission instructions for the drone's subsequent mission execution, ensuring the accuracy of flight and delivery operations. Furthermore, a comprehensive self-check of the power system, flight control system, redundant modules, mounting mechanism, and sensors before takeoff assesses the operating status of each core component and ensures the drone can perform its mission in optimal condition. This self-check mechanism can detect potential faults or anomalies early, preventing uncontrollable problems during flight. If the self-check results are normal, the mounting mechanism is controlled to load the cargo box and perform both the first and second locking mechanisms, providing dual security during the cargo loading phase. The coordination of the first and second locking mechanisms ensures that the cargo box is securely fixed to the mounting mechanism, preventing it from coming loose even under vibration or external interference, thereby enhancing transportation safety. This design, through the combination of self-checking and double locking, provides a safe and reliable foundation for the drone's takeoff, flight, and cargo delivery, ensuring the smooth completion of the mission.

[0034] In step S102, the drone autonomously takes off and navigates to the target delivery area based on the received route information to ensure that the drone can complete the cargo delivery mission efficiently and accurately according to the predetermined path. During flight, the status of the power system, flight control system, redundant modules, mounting mechanism, and sensors are monitored in real time to dynamically grasp the operating status of the drone. This real-time monitoring mechanism provides strong protection for flight safety by evaluating the operating status of key components and promptly detecting potential anomalies. When an anomaly is detected, the corresponding emergency response strategy is adopted according to the type of anomaly. Through this highly targeted emergency response mechanism, the drone can respond quickly to complex or sudden situations, minimize the impact of anomalies on mission execution, and ensure the safety of cargo transportation and the completion rate of the mission. At the same time, this abnormal response strategy reflects the intelligence level of the system and provides technical support for the reliability of drone logistics applications.

[0035] In step S103, after the drone reaches the target drop zone, it hovers in mid-air and performs a safety scan of the ground environment to ensure the accuracy and safety of cargo drop. This ground environment scan primarily checks whether the target area meets drop zone requirements, such as for obstacles, human activity, or other conditions that could affect drop zone safety. Only when the scan indicates that the target area meets drop zone requirements does the flight control system proceed to the next step to prevent potential accidents during drop zone safety. After confirming that the ground environment meets drop zone requirements, the first locking device releases the mounting mechanism, preparing for the subsequent drop of the cargo box. The second locking device is then checked to ensure it remains stable and prevents accidental detachment after the first locking device is released. By performing a safety scan of the ground environment, gradually releasing the first locking device, and monitoring the status of the second locking device, the present invention establishes a comprehensive safety mechanism prior to cargo box drop zone safety. This design ensures the safety of cargo drop zone safety while improving drop zone accuracy, providing technical support for the efficient and reliable execution of drone logistics missions.

[0036] In step S104, after confirming that the cargo box is safe for drop and detecting that the second locking device is in a safe standby state, the second locking device is released to open the mounting mechanism, completing the drop operation. This operation is based on a multiple confirmation mechanism, ensuring a safe and orderly drop process. By gradually releasing the first and second locks, the cargo box can be effectively prevented from being released prematurely due to misoperation or mechanical failure, further improving the reliability of cargo transportation. If an anomaly occurs during the drop process, such as the mounting mechanism not opening as expected, the cargo box not fully detaching from the mounting mechanism, or an abnormal cargo box posture, the system immediately implements a relocking strategy. The implementation of the relocking strategy effectively prevents the cargo box from falling uncontrollably due to an abnormal state, protecting the ground environment and personnel safety. Furthermore, the anomaly information is uploaded to a cloud platform to facilitate subsequent troubleshooting and resolution. Through this multiple safeguard mechanism, the present invention fully considers various possible unexpected situations during the cargo box drop process and designs a flexible and safe handling method to ensure the smooth completion of the cargo transportation task while reducing risks during the drop process, providing a safe and reliable solution for drone logistics.

[0037] In step S105, after the cargo box is dropped, the flight trajectory, drop data, and imagery of the drop location are uploaded to the cloud platform. This ensures transparency throughout the logistics process and traceability of delivery results. The flight trajectory records the drone's complete path from its starting point to the target drop location, serving as a basis for the transportation process. The drop data, including the drop time, status, and related operating parameters, verifies whether the cargo was dropped as planned. The imagery of the drop location, in the form of photos or videos, documents the actual location of the cargo box. This not only serves as proof of delivery but also provides clear evidence for any subsequent disputes.

[0038] In some preferred embodiments, during the self-inspection of the mounting mechanism and the loading of the cargo box, the closed position and load status of the mounting mechanism are detected to confirm whether the first lock and the second lock are normal; if abnormality is confirmed, takeoff is rejected and locking is re-executed, and an error prompt message is output.

[0039] It should be noted that the first lock and the second lock are electromagnetic locks, the first lock is located on the buckle of the mounting mechanism, and the second lock is located next to the mounting arm of the mounting mechanism. Detect whether the mounting mechanism is completely closed to ensure that the first lock and the second lock can be normally attracted in the correct position. If the closure is not complete, the electromagnetic lock will not be able to provide sufficient attraction force, and there is a risk of the cargo box loosening. Detect the load condition of the mounting mechanism to ensure that the electromagnetic lock can withstand the weight of the cargo carried and maintain sufficient locking force. If an overload is detected, the electromagnetic lock cannot provide a stable locking effect. If an abnormality is found in the first lock and the second lock during the self-test process, takeoff is refused and the locking operation is re-executed. At the same time, an error prompt message is output to facilitate rapid diagnosis and resolution of the problem, ensuring the safe takeoff of the drone and the smooth completion of the cargo delivery mission.

[0040] In some preferred embodiments, when detecting the closed position and the load state of the mounting mechanism, the closed position of the mounting mechanism is detected by a travel switch, and the load state of the mounting mechanism is detected by a torque sensor.

[0041] It should be noted that the limit switch is used to detect the closed position of the mounting mechanism. When the mounting mechanism is closed to the set position, the limit switch generates a signal to confirm that the mounting mechanism has been correctly closed, ensuring that the electromagnetic lock can be properly engaged. The torque sensor is used to detect the load state of the mounting mechanism when carrying cargo. The torque sensor is usually installed on the drive motor of the mounting mechanism and uses the torque change of the motor output to accurately sense and evaluate the load state. This detection mechanism ensures that the mounting mechanism is in a safe and stable state when loading cargo, avoiding problems during flight due to incomplete closure or abnormal load.

[0042] In some preferred embodiments, during the flight, the status of the power system, the flight control system, the redundant module, the mounting mechanism and the sensor are monitored in real time. When an abnormality is detected, the abnormality type is divided into flight control system abnormality, redundant module abnormality, mounting mechanism abnormality and sensor abnormality.

[0043] It should be noted that during flight, various sensors and detection devices located in the power system, flight control system, redundant module, and mounting mechanism are used to collect operating parameters of the power system, flight control system, redundant module, and mounting mechanism in real time. The collected operating parameters are analyzed and processed by the monitoring module within the flight control system to determine whether the operating status of the power system, redundant module, mounting mechanism, and flight control system itself is normal. Real-time monitoring of these critical systems enables timely detection and implementation of measures when an anomaly occurs, preventing further damage or fault expansion. When an anomaly occurs, categorizing the anomaly type into flight control system anomaly, redundant module anomaly, mounting mechanism anomaly, and sensor anomaly helps accurately locate the source of the problem, allowing for the implementation of targeted emergency response measures.

[0044] In a further preferred embodiment, the redundant module may include: a backup flight control unit, a backup power supply system and a backup communication link; the backup flight control unit has the same control function as the main flight control unit of the UAV; the backup power supply system includes a backup battery or a power management module for providing backup power to the power module of the UAV; the backup communication link provides a backup wireless communication channel.

[0045] It should be noted that the backup flight control unit has the same control functions as the main flight control unit. The backup power system includes a backup battery or power management module. The backup communication link provides a backup wireless communication channel. The backup communication link usually uses different frequency bands or different technical standards, such as satellite communications, cellular networks or other wireless communication methods. Through the setting of redundant modules, it is ensured that when the UAV encounters a fault, it can quickly resume operation through the backup system, reduce flight safety hazards, and improve the system's reliability and emergency response capabilities.

[0046] In some preferred embodiments, when adopting corresponding emergency handling strategies according to the type of abnormality, it includes, when a power system abnormality is detected, choosing the nearest safe landing or returning to the starting point according to the current flight altitude and environment; when a flight control system abnormality is detected, automatically switching to the backup flight control system, and sending an alarm message to the cloud platform; when a redundant module abnormality is detected, taking further emergency measures according to the current flight status; when a mounting mechanism abnormality is detected, locking the mounting mechanism and suspending the delivery operation; when a sensor abnormality is detected, enabling the backup sensor or adjusting the flight strategy to ensure safety.

[0047] It's important to note that when a powertrain anomaly is detected, the system first assesses emergency response options based on the current flight altitude and environmental conditions. If the flight altitude is low or the surrounding conditions are suitable, the flight control system automatically selects the nearest safe landing point for an emergency landing. If the flight altitude is high and the surrounding conditions are unsuitable for an emergency landing, the flight control system assesses the feasibility of returning to the starting point and automatically guides the drone back to the starting point for landing. During this process, the flight path avoids obstacles and ensures that appropriate control measures are taken during flight to address powertrain anomalies and prevent further failures.

[0048] If a flight control system anomaly is detected, the system automatically switches to the backup flight control unit within the redundant module, ensuring the drone maintains flight control and preventing flight interruption or loss of control. Simultaneously, an alarm message about the flight control system anomaly is sent to the cloud platform, providing timely status feedback and allowing for the preparation of emergency response measures.

[0049] If a redundant module anomaly is detected, the system will assess the current flight status and mission requirements and take further emergency measures, such as reducing flight complexity, returning to the starting point early, or selecting a safe landing. At the same time, it will send an alert to the cloud platform, indicating the need for manual intervention to ensure the continued operation of all drone functions and avoid mission interruption or inability to complete the flight.

[0050] When a mounting mechanism anomaly is detected, the aircraft will first lock the mechanism to prevent the cargo from becoming loose or falling due to the mounting mechanism failure. Simultaneously, the flight control system will suspend the delivery operation to ensure that no unexpected cargo release or delivery failure occurs until the issue is resolved. If the mounting mechanism issue cannot be resolved by locking the mechanism, an abnormality message will be sent to the cloud platform, prompting manual intervention or further inspection.

[0051] When a sensor anomaly is detected, the flight control system will automatically enable the backup sensor. If the backup sensor cannot provide sufficient data immediately, the flight altitude can be adjusted or the flight mode can be changed based on the existing sensor data to reduce the risk brought by the sensor anomaly and ensure flight safety.

[0052] In some preferred embodiments, during the process of placing the cargo box, it is detected whether the second locking device is in a safe ready state. If the second locking device is not in a safe ready state, the operation of placing the cargo box is suspended and a re-locking procedure is executed; if it cannot be restored to normal, the abnormal information is uploaded to the cloud platform and remote manual intervention is awaited.

[0053] It's important to note that the safe, ready state of the second locking mechanism is crucial for ensuring stable cargo box delivery. During delivery, if the second locking mechanism is detected to be out of its safe, ready state, it may indicate that the locking mechanism is not fully engaged or is malfunctioning, which can lead to unstable cargo delivery or unsafe release. In this case, the flight control system automatically suspends the delivery operation to prevent safety incidents such as cargo loss of control or falling. To restore normal operation, the flight control system executes a relocking procedure, attempting to recalibrate the second locking mechanism to ensure it is in a safe, ready state. If the issue persists after the relocking procedure, the flight control system will upload anomaly information to the cloud platform, providing a detailed error report to facilitate manual intervention and troubleshooting by remote operators. This mechanism enables timely detection and resolution of locking mechanism anomalies, ensuring the safety and stability of the cargo delivery process.

[0054] In some further preferred embodiments, the safety preparation state of the second locking device includes: the second locking device needs to be fully closed and ensured to be free of looseness or failure; the load borne by the second locking device does not exceed the design range; the sensor of the second locking device does not detect any abnormal signal.

[0055] It should be noted that complete closure ensures a tight connection between the locking device and the mounting mechanism, preventing the cargo box from loosening or falling off; the load borne is within the design range, ensuring that the locking device can stably support the weight of the cargo when the cargo is dropped, avoiding locking failure due to overloading; the absence of abnormal signals from the sensor indicates that the various functions of the locking device are operating normally and are not affected by external interference or internal faults.

[0056] In some preferred embodiments, during the process of placing the cargo box, when it is detected that the inclination of the cargo box exceeds a preset threshold, the operation of releasing the cargo box is immediately interrupted, the mounting mechanism is re-locked, and the abnormal information is uploaded to the cloud platform to prevent the cargo box from falling out of control.

[0057] It's important to note that during the delivery process, the first and second displacement sensors on the cargo box's track monitor the box's tilt angle in real time. If the tilt angle exceeds a preset threshold, the flight control system immediately interrupts the release and relocks the mounting mechanism to prevent the box from falling uncontrollably. Any abnormality information is uploaded to the cloud platform for further processing, enhancing overall delivery safety and reliability.

[0058] In a further preferred embodiment, in order to further improve the safety and emergency response capabilities during cargo delivery, a safety emergency electromagnetic lock is added to the cargo box track; when the flight control system detects abnormal falling of the cargo box through the first displacement sensor and the second displacement sensor on the track, the emergency locking mechanism is triggered to lock the cargo box by activating the safety emergency electromagnetic lock on the track.

[0059] It's important to note that the first and second displacement sensors on the cargo box track monitor the box's position and movement in real time. If the box detects any signs of falling, the flight control system immediately activates the emergency electromagnetic lock according to a pre-set emergency response strategy. The electromagnetic lock, when activated, precisely engages the corresponding groove in the cargo box, securing it securely to the track and preventing it from falling due to unexpected circumstances.

[0060] In some preferred embodiments, during the delivery archiving and receipt confirmation process, the delivery location is photographed or recorded by a camera, and the image data is uploaded to the cloud platform together with the location information and timestamp as a delivery certificate to complete the receipt confirmation and traceable record.

[0061] Example 2

[0062] See also Figure 1-Figure 2The present embodiment provides a cargo box delivery control system based on a logistics drone. The cargo box delivery control system based on a logistics drone uses the above-mentioned cargo box delivery control method based on a logistics drone to receive transportation order information and route information from a cloud platform through a communication module, and performs a self-inspection on the power system, flight control system, redundant module, mounting mechanism and sensor before takeoff; if the self-inspection result is normal, the mounting mechanism is controlled to load the cargo box, and the first locking device and the second locking device are used to perform the first locking and the second locking on the mounting mechanism respectively; according to the received route information, the drone takes off autonomously and navigates to the target delivery area to deliver the cargo box loaded by the mounting mechanism; during the flight, the drone is monitored in real time. The aircraft monitors the status of the force system, the flight control system, the redundant module, the mounting mechanism, and the sensor; when an anomaly is detected, adopts a corresponding emergency response strategy based on the type of anomaly; after the flight reaches the target drop zone, hovers in the air and performs a safety scan of the ground environment; if the drop conditions are met, releases the first lock on the mounting mechanism performed by the first locking device, and detects whether the second locking device is in a safe standby state; after confirming that the cargo box is safe for drop and detecting that the second locking device is in a safe standby state, releases the second lock on the mounting mechanism performed by the second locking device to open the mounting mechanism to drop the cargo box; if an anomaly occurs during the drop process, executes a re-locking strategy. After the cargo box is dropped, the flight trajectory, drop data, and image data of the drop location are uploaded to the cloud platform to complete delivery archiving and receipt confirmation.

[0063] The above embodiments are only preferred specific implementation methods of the present invention, and the protection scope of the present invention is not limited thereto. Any changes or replacements that can be easily thought of by any technician familiar with this technical field within the technical scope disclosed by the present invention should be covered within the protection scope of the present invention. The protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A cargo box delivery control method based on logistics drones, characterized in that: include: Receive transport order information and route information from the cloud platform through the communication module, and perform self-inspections of the power system, flight control system, redundant modules, mounting mechanisms, and sensors before takeoff; If the self-test result is normal, controlling the mounting mechanism to load the cargo box, and performing first locking and second locking on the mounting mechanism respectively through the first locking device and the second locking device; autonomously take off and navigate to a target delivery area to deliver the cargo box loaded by the mounting mechanism according to the received route information; During flight, the status of the power system, the flight control system, the redundant modules, the mounting mechanism, and the sensors are monitored in real time; when an abnormality is detected, an emergency response strategy is adopted according to the type of abnormality; After arriving at the target delivery area, the drone hovers in the air and performs a safety scan of the ground environment; if the delivery conditions are met, the drone releases the first lock on the mounting mechanism by the first locking device, and detects whether the second locking device is in a safety standby state; After confirming that the cargo box is safe to be dropped and detecting that the second locking device is in a safe standby state, releasing the second lock on the mounting mechanism by the second locking device, so as to open the mounting mechanism to drop the cargo box; If an abnormality occurs during the delivery process, the re-locking strategy will be executed.

2. The cargo box delivery control method based on logistics drone according to claim 1 is characterized in that: After the cargo box is delivered, the flight trajectory, delivery data and image data of the delivery location are uploaded to the cloud platform to complete the delivery archiving and receipt confirmation.

3. The cargo box delivery control method based on logistics drone according to claim 1 is characterized in that: During the self-test of the mounting mechanism and the loading of the cargo box, detecting the closed position and the load status of the mounting mechanism to confirm whether the first locking and the second locking are normal; If an abnormality is confirmed, takeoff will be rejected and the lock will be re-executed, and an error prompt message will be output.

4. The cargo box delivery control method based on logistics drone according to claim 3 is characterized in that: When detecting the closed position and the load state of the mounting mechanism, the closed position of the mounting mechanism is detected by a travel switch, and the load state of the mounting mechanism is detected by a torque sensor.

5. The cargo box delivery control method based on logistics drone according to claim 1 is characterized in that: During the flight, the status of the power system, the flight control system, the redundant module, the mounting mechanism and the sensor are monitored in real time. When an abnormality is detected, the abnormality type is divided into flight control system abnormality, redundant module abnormality, mounting mechanism abnormality and sensor abnormality.

6. The cargo box delivery control method based on logistics drone according to claim 5 is characterized in that: Adopting corresponding emergency handling strategies according to the type of abnormality, including when a power system abnormality is detected, choosing the nearest safe landing or returning to the starting point according to the current flight altitude and environment; when a flight control system abnormality is detected, automatically switching to the backup flight control unit and sending an alarm message to the cloud platform; when a redundant module abnormality is detected, taking further emergency measures according to the current flight status; when a mounting mechanism abnormality is detected, locking the mounting mechanism and suspending the delivery operation; when a sensor abnormality is detected, enabling the backup sensor or adjusting the flight strategy to ensure safety.

7. The cargo box delivery control method based on logistics drone according to claim 1 is characterized in that: During the process of placing the cargo box, detecting whether the second locking device is in a safety standby state; if the second locking device is not in the safety standby state, suspending the cargo box placing operation and executing a re-locking procedure; If it cannot be restored to normal, the abnormal information will be uploaded to the cloud platform and wait for remote manual intervention.

8. The cargo box delivery control method based on logistics drone according to claim 1 is characterized in that: During the process of placing the cargo box, when it is detected that the inclination of the cargo box exceeds a preset threshold, the operation of releasing the cargo box is immediately interrupted, the mounting mechanism is relocked, and the abnormal information is uploaded to the cloud platform to prevent the cargo box from falling out of control.

9. The cargo box delivery control method based on logistics drone according to claim 2 is characterized in that: During the delivery archiving and receipt confirmation process, the delivery location is photographed or recorded through a camera, and the image data is uploaded to the cloud platform together with the location information and timestamp as a delivery certificate to complete the receipt confirmation and traceability record.

10. A cargo box delivery control system based on logistics drones, characterized in that: The cargo box delivery control system based on a logistics drone uses the cargo box delivery control method based on a logistics drone as described in any one of claims 1-9.

Images