Unmanned aerial vehicle logistics system

Abstract

The invention discloses an unmanned aerial vehicle logistics system, which comprises an unmanned aerial vehicle body and a control mechanism, and is characterized in that the control mechanism is used for regulating and controlling the real-time flight speed and flight height of the unmanned aerial vehicle body to realize the flight stability of the unmanned aerial vehicle during logistics transportation; the control mechanism comprises a control module, a detection module and a processing module; the control module is in electric signal connection with the unmanned aerial vehicle body; the detection module comprises a speed detection unit, a height detection unit, a weight detection unit, a wind speed detection unit and an included angle detection unit; and the processing module comprises an evaluation unit and a judgment unit. The control coefficient FX is constructed according to the flight speed, the flight height, the carried logistics weight and various wind speeds and wind directions encountered in flight of the unmanned aerial vehicle, the flight speed and the flight height of the unmanned aerial vehicle body can be dynamically adjusted, and then the flight stability of the unmanned aerial vehicle during logistics transportation is guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of UAV logistics, and in particular to a UAV logistics system. Background Art

[0002] A UAV logistics system refers to a logistics mode that uses UAVs (i.e., unmanned aerial vehicles) for distribution and transportation. By combining logistics information technology with UAV technology, it realizes the automation of distribution and transportation. UAVs have a high flight speed and load capacity, and can deliver packages quickly and accurately. Compared with the traditional manual distribution method, UAV distribution can significantly shorten the distribution time and improve the distribution efficiency. Cost reduction: UAV distribution does not require drivers and other staff, reducing related personnel salaries, insurance, and welfare costs. At the same time, UAVs also do not require fuel and maintenance costs (or the costs are relatively low), further reducing the operating costs of logistics distribution.

[0003] However, in the prior art, when a UAV carries logistics and flies, the flight speed, flight altitude, weight of the carried logistics, and various wind speeds and directions encountered during flight of the UAV will all affect the flight stability of the UAV. In order to achieve the flight stability of the UAV during logistics transportation, the present invention proposes a UAV logistics system. Summary of the Invention

[0004] The present invention provides a UAV logistics system to solve the problems raised in the above background art.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions:

[0006] A UAV logistics system includes a UAV body and a control mechanism. The control mechanism is used to adjust and control the real-time flight speed and flight altitude of the UAV body to achieve the flight stability of the UAV during logistics transportation;

[0007] The control mechanism includes a control module, a detection module, and a processing module;

[0008] The control module is electrically connected to the UAV body;

[0009] The detection module includes a speed detection unit for detecting the flight speed of the UAV body, a height detection unit for detecting the flight altitude of the UAV body, a weight detection unit for detecting the weight of the logistics carried by the UAV body, a wind speed detection unit for detecting the wind speed, and an angle detection unit for detecting the angle between the wind direction and the flight direction of the UAV body;

[0010] The processing module includes an evaluation unit and a judgment unit.

[0011] As a further improvement of the technical solution: the speed detection unit is a GPS sensor, and the GPS sensor is installed in the drone body. The GPS sensor is used to detect the flight direction and moving speed of the drone.

[0012] As a further improvement of the technical solution: the altitude detection unit is an air pressure sensor, which is installed on the surface of the drone body. The air pressure sensor detects the altitude of the drone by measuring the atmospheric pressure.

[0013] As a further improvement of the technical solution: the weight detection unit is a tension sensor, which is installed on the bottom side of the drone body. The logistics to be transported are hung on the bottom side of the drone body through the tension sensor, and the tension sensor is used to detect the weight of the logistics to be transported.

[0014] As a further improvement of the technical solution: the wind speed detection unit is a wind speed sensor, which is installed on the surface of the drone body and is used to detect the real-time wind speed of the external environment of the drone body.

[0015] As a further improvement of the present technical solution: the angle detection unit includes a wind direction sensor, which is installed on the surface of the drone body. The wind direction sensor is used to detect the wind direction of the external environment of the drone body. The angle detection unit then calculates the angle between the wind direction of the external environment and the flight direction of the drone body.

[0016] A drone logistics system, the use method of the drone logistics system is specifically as follows:

[0017] S1. During the flight of the drone carrying logistics, the speed detection unit, height detection unit, weight detection unit, wind speed detection unit, and angle detection unit in the detection module are used to detect the flight speed, flight altitude, weight of the logistics carried, external wind speed, wind direction, and the angle between the flight direction of the drone, and form the flight speed R, flight altitude H, carrying weight T, wind speed M, and angle W, which are then transmitted to the evaluation unit;

[0018] S2, summarize the acquired flight speed R and flight altitude H to form detection condition information, build a data model and optimize and train it, perform regression analysis on the acquired flight speed R and flight altitude H through analysis software, obtain the influence of flight speed R and flight altitude H on flight stability, and output flight speed influence factor Ar and flight altitude influence factor Ah;

[0019] S3, the evaluation unit obtains the flight speed R, flight altitude H, carrying weight T, wind speed M, angle W, and performs dimensionless processing on them, and associates them to form the control coefficient FX, and its association model is:

[0020]

[0021] Among them, Ar represents the combustion temperature influence factor, where 0.24 ≤ Ar ≤ 0.81; Ah represents the pressure influence factor, where 0.51 ≤ Ah ≤ 0.64; WFS represents the external environment influence index; both α and β are weight coefficients set by the user.

[0022] S4. Transmit the obtained regulation coefficient FX to the judgment unit for comparison with a preset threshold. If the regulation coefficient FX is not within the range of the preset threshold, a corresponding control instruction is formed to regulate the flight speed and flight height of the UAV body until the regulation coefficient FX is within the preset threshold, thereby ensuring the flight stability of the UAV during logistics transportation.

[0023] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0024] The present invention constructs the regulation coefficient FX based on the flight speed, flight height, carried logistics weight of the UAV, and various wind speeds and wind directions encountered during flight, and can dynamically adjust the flight speed and flight height of the UAV body, thereby ensuring the flight stability of the UAV during logistics transportation.

[0025] The above description is only an overview of the technical solution of the present invention. In order to understand the technical means of the present invention more clearly and implement it according to the content of the specification, the following takes the preferred embodiments of the present invention and combines with the accompanying drawings to elaborate in detail as follows. The specific implementation manners of the present invention are given in detail by the following embodiments and their accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] The accompanying drawings described herein are used to provide a further understanding of the present invention, and constitute a part of this application. The schematic embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation to the present invention. In the drawings:

[0027] Figure 1 is a schematic structural diagram of a UAV logistics system proposed by the present invention;

[0028] Figure 2 is a schematic diagram of the usage method of a UAV logistics system proposed by the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0029] The principles and features of the present invention are described below with reference to the accompanying drawings. The examples given are only used to explain the present invention and are not used to limit the scope of the present invention. In the following paragraphs, the present invention is described more specifically by way of example with reference to the accompanying drawings. It should be noted that the accompanying drawings are all in a very simplified form and use non-precise scales, and are only used to facilitate and clearly assist in explaining the purpose of the embodiments of the present invention.

[0030] Please refer to Figures 1 to 2 , in the embodiment of the present invention, a drone logistics system includes a drone body and a control mechanism. The control mechanism is used to adjust and control the real-time flight speed and flight height of the drone body to achieve the flight stability of the drone during logistics transportation;

[0031] The control mechanism includes a control module, a detection module, and a processing module;

[0032] The control module is electrically connected to the drone body;

[0033] The processing module includes an evaluation unit and a judgment unit;

[0034] The detection module includes a speed detection unit for detecting the flight speed of the drone body, a height detection unit for detecting the flight height of the drone body, a weight detection unit for detecting the logistics weight carried by the drone body, a wind speed detection unit for detecting the wind speed, and an angle detection unit for detecting the angle between the wind direction and the flight direction of the drone body;

[0035] The speed detection unit is a GPS sensor. The GPS sensor is installed inside the drone body and is used to detect the flight direction and moving speed of the drone; the height detection unit is a barometric pressure sensor. The barometric pressure sensor is installed on the surface of the drone body, and the barometric pressure sensor detects the height of the drone by measuring the atmospheric pressure; the weight detection unit is a tension sensor. The tension sensor is installed on the bottom side of the drone body, and the logistics to be transported is suspended on the bottom side of the drone body through the tension sensor. The tension sensor is used to detect the logistics weight to be transported; the wind speed detection unit is a wind speed sensor. The wind speed sensor is installed on the surface of the drone body, and the wind speed sensor is used to detect the real-time wind speed of the external environment of the drone body; the angle detection unit includes a wind direction sensor. The wind direction sensor is installed on the surface of the drone body, and the wind direction sensor is used to detect the wind direction of the external environment of the drone body. The angle detection unit then calculates the angle between the external environment wind direction and the flight direction of the drone body;

[0036] A drone logistics system, and the specific usage method of the drone logistics system is as follows:

[0037] S1. During the flight of the drone body carrying logistics, the speed detection unit, height detection unit, weight detection unit, wind speed detection unit, and angle detection unit in the detection module respectively detect the flight speed, flight height, carried logistics weight, external wind speed, and the angle between the wind direction and the flight direction of the drone body of the drone body, form the flight speed R, flight height H, carried weight T, wind speed M, and angle W, and transmit them to the evaluation unit;

[0038] S2. Summarize the obtained flight speed R and flight height H to form detection condition information, construct a data model and optimize and train it. Perform regression analysis on the obtained flight speed R and flight height H through analysis software to obtain the influence of flight speed R and flight height H on flight stability, and output the flight speed influence factor Ar and the flight height influence factor Ah;

[0039] S3. The evaluation unit obtains the flight speed R, flight height H, carrying weight T, wind speed M, and included angle W, and performs dimensionless processing on them, and correlates them to form a regulation coefficient FX. Its correlation model is:

[0040]

[0041] Among them, Ar represents the combustion temperature influence factor, 0.24 ≤ Ar ≤ 0.81; Ah represents the pressure influence factor, 0.51 ≤ Ah ≤ 0.64; WFS represents the external environment influence index; both α and β are weight coefficients set by the user;

[0042] S4. Transmit the obtained regulation coefficient FX to the judgment unit for comparison with a preset threshold. If the regulation coefficient FX is not within the range of the preset threshold, corresponding control instructions are formed to regulate the flight speed and flight height of the UAV body until the regulation coefficient FX is within the preset threshold, thereby ensuring the flight stability of the UAV during logistics transportation.

[0043] The above is only a preferred embodiment of the present invention, and does not impose any form of limitation on the present invention; any ordinary technician in the industry can smoothly implement the present invention according to the instructions in the accompanying drawings and the above description; however, any equivalent changes made by those skilled in the art within the scope of the technical solution of the present invention by using the technical content disclosed above, such as slight modifications, decorations, and evolutions, are equivalent embodiments of the present invention; at the same time, any equivalent changes, modifications, and evolutions made to the above embodiments based on the essence of the present invention still fall within the protection scope of the technical solution of the present invention.

Claims

1. A drone logistics system, characterized in that: It includes a drone body and a control mechanism, wherein the control mechanism is used to control the real-time flight speed and flight altitude of the drone body to achieve flight stability of the drone during logistics transportation; The control mechanism includes a control module, a detection module, and a processing module; The control module is connected to the drone body by electrical signals; The detection module includes a speed detection unit for detecting the flight speed of the drone body, a height detection unit for detecting the flight height of the drone body, a weight detection unit for detecting the weight of the logistics carried by the drone body, a wind speed detection unit for detecting the wind speed, and an angle detection unit for monitoring the angle between the wind direction and the flight direction of the drone body; The processing module includes an evaluation unit and a judgment unit.

2. The drone logistics system according to claim 1, characterized in that: The speed detection unit is a GPS sensor, which is installed in the drone body and is used to detect the flight direction and moving speed of the drone.

3. The drone logistics system according to claim 1, characterized in that: The altitude detection unit is an air pressure sensor, which is installed on the surface of the drone body. The air pressure sensor detects the altitude of the drone by measuring the atmospheric pressure.

4. The drone logistics system according to claim 1, characterized in that: The weight detection unit is a tension sensor, which is installed on the bottom side of the drone body. The logistics to be transported are hung on the bottom side of the drone body through the tension sensor, and the tension sensor is used to detect the weight of the logistics to be transported.

5. The drone logistics system according to claim 1, characterized in that: The wind speed detection unit is a wind speed sensor, which is installed on the surface of the drone body. The wind speed sensor is used to detect the real-time wind speed of the external environment of the drone body.

6. The drone logistics system according to claim 1, characterized in that: The angle detection unit includes a wind direction sensor, which is installed on the surface of the drone body. The wind direction sensor is used to detect the wind direction of the external environment of the drone body. The angle detection unit then calculates the angle between the external environment wind direction and the flight direction of the drone body.

7. The drone logistics system according to claim 1, characterized in that: The specific usage of the drone logistics system is as follows: S1. During the flight of the drone carrying logistics, the speed detection unit, height detection unit, weight detection unit, wind speed detection unit, and angle detection unit in the detection module are used to detect the flight speed, flight altitude, weight of the logistics carried, external wind speed, wind direction, and the angle between the flight direction of the drone, and form the flight speed R, flight altitude H, carrying weight T, wind speed M, and angle W, which are then transmitted to the evaluation unit; S2, summarize the acquired flight speed R and flight altitude H to form detection condition information, build a data model and optimize and train it, perform regression analysis on the acquired flight speed R and flight altitude H through analysis software, obtain the influence of flight speed R and flight altitude H on flight stability, and output flight speed influence factor Ar and flight altitude influence factor Ah; S3, the evaluation unit obtains the flight speed R, flight altitude H, carrying weight T, wind speed M, angle W, and performs dimensionless processing on them, and associates them to form the control coefficient FX, and its association model is: Among them, Ar represents the combustion temperature influence factor, 0.24≤Ar≤0.81; Ah represents the pressure influence factor, 0.51≤Ah≤0.64; WFS represents the external environment influence index; α and β are weight coefficients set by the user; S4, transmit the acquired control coefficient FX to the judgment unit for comparison with the preset threshold. If the control coefficient FX is not within the range of the preset threshold, a corresponding control instruction is generated to control the flight speed and flight altitude of the UAV body until the control coefficient FX is within the preset threshold, thereby ensuring the flight stability of the UAV during logistics transportation.

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