A highway early warning method, system and device based on a UAV and a storage medium

Abstract

The application discloses a highway early warning method, system and device based on a UAV and a storage medium, and comprises the following steps: acquiring position data of a highway and take-off parameters of a UAV, wherein the position data of the highway comprises longitude and latitude data and direction data of a lane, and the take-off parameters of the UAV comprise a take-off reference point and a take-off height; the UAV is loaded with a task load; a flight route of the UAV is generated according to a preset early warning scheme, the position data of the highway and the take-off parameters of the UAV; and the flight route of the UAV is sent to the UAV, so that the UAV flies according to the flight route of the UAV and completes a warning task after receiving a take-off instruction. The embodiment of the application can effectively prevent and reduce traffic accidents in a lane-occupying construction area, improves the safety of lane-occupying construction, and can be widely applied to the technical field of road maintenance.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of road maintenance, and in particular to a highway early warning method, system and device based on a UAV and a storage medium. BACKGROUND

[0002] In traditional highway road occupation construction operations, a crash car and a vehicle-mounted warning sign, a reflective cone barrel, a signboard and personnel command are often used for warning. The crash car carries a warning sign at the back of the construction team to remind the rear vehicles to avoid and, in the event of an accident, to absorb the impact energy through the crash bag at the back of the crash car to reduce the severity of the accident. Before starting the construction, warning signs such as speed limit and construction need to be placed 2000 meters in front of the construction area, and the construction personnel need to get off the vehicle to place the signs. During the period when the construction team is stopped, due to factors such as fatigue driving, inattention, reduced number of lanes and blocked vision, traffic accidents still frequently occur in the road occupation construction area. SUMMARY

[0003] Therefore, to solve one of the above problems, the purpose of the embodiments of the present application is to provide a highway early warning method, system and device based on a UAV and a storage medium, which can effectively prevent and reduce traffic accidents in the road occupation construction area and improve the safety of road occupation construction.

[0004] In one aspect, the embodiments of the present application provide a highway early warning method based on a UAV, comprising:

[0005] acquiring position data of a highway and take-off parameters of a UAV, the position data of the highway comprising latitude and longitude data and direction data of a lane, and the take-off parameters of the UAV comprising a take-off reference point and a take-off height; the UAV carrying a task load;

[0006] generating a flight route of the UAV according to a preset early warning scheme, the position data of the highway and the take-off parameters of the UAV;

[0007] sending the flight route of the UAV to the UAV, so that the UAV flies according to the flight route of the UAV and completes a warning task after receiving a take-off instruction.

[0008] Optionally, the generating of the flight route of the UAV according to the preset early warning scheme, the position data of the highway and the flight parameters of the UAV comprises:

[0009] determining a take-off target point according to the take-off parameters of the UAV;

[0010] determining flight parameters of the UAV, a return target point and a return frequency according to the take-off target point, the preset early warning scheme and the position data of the highway;

[0011] generate the flight route of the UAV according to the takeoff target point, the turnaround target point, the flight parameter and the number of round trips.

[0012] Optionally, the flight parameter comprises direction information of the head of the UAV, direction information of the task load and flight speed, the early warning scheme comprises early warning length and execution time, and the flight parameter, the turnaround target point and the number of round trips of the UAV are determined according to the takeoff target point, the preset early warning scheme and the position data of the road, comprising:

[0013] the direction information of the head of the UAV and the direction information of the task load are determined according to the direction data of the lane;

[0014] the turnaround target point is determined according to the takeoff target point, the early warning length and the latitude and longitude data of the lane;

[0015] the number of round trips is determined according to the execution time, the early warning length and the flight speed.

[0016] Optionally, the latitude and longitude data of the lane comprises a plurality of data points with equal intervals, and the turnaround target point is determined according to the takeoff target point, the early warning length and the latitude and longitude data of the lane, comprising:

[0017] the number of data points is determined according to the early warning length and the interval;

[0018] the turnaround target point is determined according to the takeoff target point and the number of data points.

[0019] Optionally, the method further comprises:

[0020] a next takeoff reference point is determined according to the direction data of the lane, and the takeoff parameter of the UAV is updated according to the next takeoff reference point;

[0021] the flight route of the UAV is generated according to the preset early warning scheme, the position data of the road and the updated takeoff parameter of the UAV.

[0022] In another aspect, an embodiment of the present application provides a road early warning system based on a UAV, comprising:

[0023] a first module configured to acquire position data of a road and takeoff parameter of a UAV, wherein the position data of the road comprises latitude and longitude data and direction data of a lane, and the takeoff parameter of the UAV comprises a takeoff reference point and a takeoff height; the UAV is loaded with a task load;

[0024] a second module configured to generate a flight route of the UAV according to a preset early warning scheme, the position data of the road and the takeoff parameter of the UAV;

[0025] The third module is configured to send the flight route of the UAV to the UAV, so that the UAV flies according to the flight route and completes the warning task after receiving the take-off instruction.

[0026] In another aspect, the embodiments of the present application provide a highway early warning device based on a UAV, comprising:

[0027] at least one processor;

[0028] at least one memory for storing at least one program;

[0029] When the at least one program is executed by the at least one processor, the at least one processor implements the above method.

[0030] In another aspect, the embodiments of the present application provide a computer readable storage medium, which stores a processor executable program, and the processor executable program is used to execute the above method when executed by a processor.

[0031] In another aspect, the embodiments of the present application provide a highway early warning system based on a UAV, comprising a UAV, a nest, a flight control terminal, a UAV unified management and service platform, the UAV communicates with the nest and the flight control terminal, the nest communicates with the flight control terminal and the UAV unified management and service platform, and the UAV carries a task load; wherein,

[0032] The UAV is configured to execute a flight task according to a control instruction and a flight route.

[0033] The flight control terminal is configured to obtain a take-off instruction and send the take-off instruction to the UAV.

[0034] The UAV unified management and service platform is configured to execute the above method.

[0035] Optionally, the system further comprises a cloud platform, and the cloud platform communicates with the UAV unified management and service platform.

[0036] The embodiment of the present application has the following beneficial effects: in the embodiment, first, the position data of the highway and the take-off parameters of the unmanned aerial vehicle are acquired, the position data of the highway includes the longitude and latitude data and direction data of the lane, the take-off parameters of the unmanned aerial vehicle include a take-off reference point and a take-off height, the unmanned aerial vehicle is loaded with a task load, visual and / or auditory dynamic aerial warning is provided through the task load, the distinctness of the warning is improved, then, the flight path of the unmanned aerial vehicle is generated according to the preset early warning scheme, the position data of the highway and the take-off parameters of the unmanned aerial vehicle, finally, the flight path of the unmanned aerial vehicle is sent to the unmanned aerial vehicle, so that the unmanned aerial vehicle flies according to the flight path of the unmanned aerial vehicle and completes the warning task after receiving the take-off instruction, the early warning measure is moved forward through the generated flight path, visual and auditory dynamic aerial warning is provided to the vehicle approaching the construction area, the driver is allowed to reasonably slow down in advance to avoid the construction area occupying the road, so that traffic accidents in the construction area occupying the road are effectively prevented and reduced, the purpose of ensuring driving safety and construction safety is achieved, and one more safety guarantee is added for the highway construction occupying the road. BRIEF DESCRIPTION OF DRAWINGS

[0037] Figure 1 is a structural block diagram of a highway early warning system based on an unmanned aerial vehicle provided by the embodiment of the present application;

[0038] Figure 2 is a step flowchart of a highway early warning method based on an unmanned aerial vehicle provided by the embodiment of the present application;

[0039] Figure 3 is a structural diagram of position data of a highway provided by the embodiment of the present application;

[0040] Figure 4 is a path diagram of a flight path of an unmanned aerial vehicle provided by the embodiment of the present application;

[0041] Figure 5 is a step flowchart of another highway early warning method based on an unmanned aerial vehicle provided by the embodiment of the present application;

[0042] Figure 6 is a structural block diagram of a highway early warning system based on an unmanned aerial vehicle provided by the embodiment of the present application;

[0043] Figure 7 is a structural block diagram of a highway early warning device based on an unmanned aerial vehicle provided by the embodiment of the present application;

[0044] Figure 8 is a structural block diagram of another highway early warning system based on an unmanned aerial vehicle provided by the embodiment of the present application. DETAILED DESCRIPTION

[0045] The application will be further described in detail below in combination with the drawings and specific embodiments. For the step numbers in the following embodiments, they are only set for the convenience of description, and the order between the steps is not limited in any way, and the execution order of each step in the embodiments can be adaptively adjusted according to the understanding of those skilled in the art.

[0046] Remote control aircraft and autonomous aircraft are collectively referred to as unmanned aerial vehicles. Autonomous aircraft is a unmanned aerial vehicle that does not require the intervention of a pilot for the entire flight or for a stage of the flight. Remote control aircraft is a unmanned aerial vehicle that is controlled by a remote control station.

[0047] Task load refers to the equipment or device carried by the unmanned aerial vehicle to complete the designated task. These equipment or devices can be high-definition cameras, thermal imaging sensors, megaphones, and other professional measuring tools.

[0048] Unmanned aerial vehicle nest refers to a device that provides storage, take-off and landing platform, communication, power supply, load loading, environmental monitoring, video monitoring and other functions for the unmanned aerial vehicle. It is generally composed of a main control system, an electromechanical module, a communication module, a monitoring module and a take-off and landing platform. Vehicle-mounted nest refers to a car equipped with an unmanned aerial vehicle nest.

[0049] Unmanned aerial vehicle ground station refers to a device for controlling unmanned aerial vehicles or receiving data from unmanned aerial vehicles, such as a remote control.

[0050] Unmanned aerial vehicle unified management and service center is a software platform deployed in a private cloud, which is used to access unmanned aerial vehicles, nests, task loads and other devices, and supports device management, route management, flight plan management, data management and unmanned aerial vehicle video live streaming functions. The center opens a data interface for different business systems to interface, so that the business systems can obtain unmanned aerial vehicle management and control capabilities and related data.

[0051] Flight control APP: an application APP installed on an Android system, through which manual control of the flight of the unmanned aerial vehicle is realized, and data interaction with the cloud unmanned aerial vehicle management and service center is realized.

[0052] As shown in Figure 1 , the unmanned aerial vehicle-based highway early warning system includes an unmanned aerial vehicle, a nest, an unmanned aerial vehicle unified management and service center, and a flight control terminal. The unmanned aerial vehicle is equipped with a task load, which includes but is not limited to a high-resolution camera, a megaphone and warning lights, etc. The flight control terminal is installed with a flight control APP, through which an operator can control the unmanned aerial vehicle. The unmanned aerial vehicle communicates with the unmanned aerial vehicle unified management and service center through the nest. The nest is located at a highway construction section, and the nest is movable. The unmanned aerial vehicle unified management and service center can serve as a data center to store and calculate data.

[0053] Referring to Figure 2The embodiment of the present application provides a highway early warning method based on a UAV, which is applied to a UAV unified management and service center, and comprises the following steps:

[0054] S100, position data of a highway and take-off parameters of a UAV are acquired, the position data of the highway comprises longitude and latitude data and direction data of a lane, and the take-off parameters of the UAV comprise a take-off reference point and a take-off height; the UAV is loaded with a task load.

[0055] The position data of the highway can be collected by using a vehicle-mounted laser radar, so that high-precision position data is acquired. Figure 3 , Figure 3 The arrow in the figure indicates the direction of the lane, and the dot indicates a collection point of the highway data, and the information of the collection point comprises longitude and latitude data, lane information and lane direction information.

[0056] The UAV is selected according to application parameters, for example, a UAV that can simultaneously support three task loads and has a flight time greater than 30 minutes after full loading is selected, and a high-resolution camera, a megaphone and a warning light are selected as the task loads. A vehicle-mounted UAV nest can be selected to meet the requirements of mobile operation of the nest.

[0057] The take-off parameters of the UAV can be reported by a construction worker according to the requirements of a site. For example, the take-off reference point is determined by the construction worker in combination with the position data of the highway, and the take-off height is determined by the construction worker according to the environment of the construction site.

[0058] S200, a flight route of the UAV is generated according to a preset early warning scheme, the position data of the highway and the take-off parameters of the UAV.

[0059] The early warning scheme is determined according to the type of the early warning scheme according to the type of the early warning scheme, for example, the distance between the placement point of a traffic speed limit sign, a reflective cone or a construction warning sign and the construction site is determined according to relevant specifications. Specifically, the flight direction of the UAV and a turning point are determined according to the preset early warning scheme, the position data of the highway and the take-off parameters of the UAV, and the flight route of the UAV is determined according to the turning point, the take-off point and the take-off height.

[0060] S300, the flight route of the UAV is sent to the UAV, so that the UAV flies according to the flight route of the UAV and completes a warning task after receiving a take-off instruction.

[0061] After the flight route of the UAV is determined, the flight route of the UAV is sent to the UAV by the UAV unified management and service center, and the UAV flies according to the flight route of the UAV and completes a warning task after receiving a take-off instruction from a flight control terminal.

[0062] Optionally, the flight route of the UAV is generated according to the preset early warning scheme, the position data of the highway and the flight parameters of the UAV, and the flight route of the UAV comprises the following steps:

[0063] S210, determining a take-off target point according to a take-off parameter of the UAV;

[0064] S220, determining a flight parameter, a return target point and a return frequency of the UAV according to the take-off target point, a preset early warning scheme and position data of the road;

[0065] S230, generating a flight path of the UAV according to the take-off target point, the return target point, the flight parameter and the return frequency.

[0066] The take-off target point refers to the starting point of the flight path of the UAV, the flight parameter refers to the parameter setting of the UAV in the flight process, such as the heading of the UAV and the orientation of the task load, the return target point refers to the point where the UAV turns in the original flight direction, and the return frequency refers to the number of times the UAV returns between the take-off target point and the return target point.

[0067] Referring to Figure 4 In a specific embodiment, the data of the reference take-off point A uploaded by the on-site personnel using the flight control APP is obtained, the flight height parameter of the UAV uploaded by the on-site personnel using the flight control APP is obtained, the coordinates X1 of the reference take-off point A are calculated from the lane coordinate set using PostGIS according to the latitude and longitude of the reference take-off point A, and the lane information is obtained; adding the height to the coordinates X1 is the first take-off target point Y1 of the UAV, the heading of the UAV and the orientation of the load are calculated according to the opposite direction of the coordinates X1, and the coordinates, height, heading, orientation and flight speed of the Y1 point are supplemented; the mth point X2 is calculated according to the opposite direction of the lane from X1, and the coordinates of the return target point Y2 are determined according to X2, height and orientation information; finally, the flight path of the UAV is generated according to the take-off target point, the return target point, the flight parameter and the return frequency.

[0068] Optionally, the flight parameter includes the direction information of the head, the direction information of the task load and the flight speed, the early warning scheme includes the early warning length and the execution time, and the flight parameter, the return target point and the return frequency of the UAV are determined according to the take-off target point, the preset early warning scheme and the position data of the road, including:

[0069] S221, determining the direction information of the head of the UAV and the direction information of the task load according to the direction data of the lane;

[0070] S222, determining the return target point according to the take-off target point, the early warning length and the latitude and longitude data of the lane;

[0071] S223, determining the return frequency according to the execution time, the early warning length and the flight speed.

[0072] The pre-warning length refers to the length range of the construction road that needs pre-warning. The execution time refers to the time that the construction personnel need to complete the designated event in the pre-warning scheme, for example, the time of placing the reflective cone in the construction road section.

[0073] Specifically, the reverse data of the lane is determined according to the direction data of the lane, then the direction information of the head of the unmanned aerial vehicle and the direction information of the task load are determined according to the reverse data of the lane, the point that is the reverse of the take-off target point and is at a distance of the pre-warning length from the take-off target point is determined as the return target point, the coordinates of the return target point are determined according to the latitude and longitude data of the lane, finally, the time required for one round trip is determined according to the pre-warning length and the flight speed, and then the number of round trips of the unmanned aerial vehicle is determined according to the execution time and the time required for one round trip.

[0074] Optionally, the latitude and longitude data of the lane includes a plurality of data points with equal intervals, the return target point is determined according to the take-off target point, the pre-warning length and the latitude and longitude data of the lane, and includes:

[0075] S2221, determining the number of data points according to the pre-warning length and the interval;

[0076] S2222, determining the return target point according to the take-off target point and the number of data points.

[0077] In a specific embodiment, the round dots in Figure 4 , Figure 4 represent the sampled data points, the distance between adjacent data points is equal. The pre-warning length is 100 meters, the distance between adjacent data points is 10 meters, the number of data points is 10, the take-off target point is Y1, and the 10 data points in the reverse direction of the lane are determined, starting from the take-off target point Y1 and counting from 0, the 10th point is taken as the return target point Y2.

[0078] Optionally, the method further includes:

[0079] S400, determining the next take-off reference point according to the direction data of the lane, and updating the take-off parameters of the unmanned aerial vehicle according to the next take-off reference point;

[0080] S500, updating the flight path of the unmanned aerial vehicle according to the pre-set pre-warning scheme, the position data of the road and the updated take-off parameters of the unmanned aerial vehicle.

[0081] Referring to Figure 5In a specific embodiment, the vehicle fleet includes a collision avoidance vehicle, a vehicle-mounted nest, and a construction vehicle, P1 represents a first warning sign, P2 represents a second warning sign, Y1 represents a first flight route takeoff target point, Y2 represents a first flight route turnaround target point, Y3 represents a second flight route takeoff target point, and Y4 represents a second flight route turnaround target point. The specific implementation process is as follows: the vehicle fleet enters the first lane and stops at the first warning sign position to prepare for sign placement, the construction personnel send a takeoff instruction through the flight control terminal, the unmanned aerial vehicle takes off from Y1, turns around at Y2 to Y1, and after multiple rounds of takeoff and landing, the unmanned aerial vehicle opens the automatic voice broadcast, warns the oncoming vehicles, slows down, changes lanes, and pays attention to road safety, and the like, until the construction personnel complete the sign placement. After the construction personnel complete the placement of the first warning sign, the vehicle fleet goes to the second warning sign position, the unmanned aerial vehicle follows the vehicle fleet, follows the vehicle fleet in the direction of the vehicle fleet, and performs safety warning at a certain position behind the nest, and the construction personnel get off the vehicle to place the second warning sign.

[0082] The following is a specific embodiment of the highway warning method based on an unmanned aerial vehicle:

[0083] S1, equipment selection: select a vehicle-mounted unmanned aerial vehicle nest that meets the mobile operation requirements of the nest, while supporting the mounting of three task loads, and the flight time after full load is greater than 30 minutes, the task loads are selected to be high-resolution cameras, voice broadcasters, and warning lights.

[0084] S2, equipment cloud: connect the unmanned aerial vehicle and other equipment to the unmanned aerial vehicle unified control and service platform to realize remote viewing of the unmanned aerial vehicle live broadcast capability.

[0085] S3, start to perform the traffic speed limit sign, reflective cone, and construction warning sign construction operation task, and the specific process is as follows:

[0086] S31, the construction vehicle fleet departs for the construction site (including the collision avoidance vehicle, the vehicle-mounted nest, and the construction vehicle). The construction vehicle is in the front, the vehicle-mounted nest is in the middle of the vehicle fleet, and the collision avoidance vehicle is at the tail of the vehicle fleet.

[0087] S32, the construction personnel set the flight plan for the unmanned aerial vehicle for this construction on the unmanned aerial vehicle unified control and service platform before or on the road.

[0088] S33, arrive at the predetermined construction site (the collision avoidance vehicle, the mobile nest, the construction vehicle, and the personnel are ready).

[0089] S34, the pilot opens the flight control APP, obtains the positioning information, uploads the positioning latitude and longitude data to the unmanned aerial vehicle unified control and service platform, selects the automatic generation of the highway road occupation construction flight route function, generates the unmanned aerial vehicle flight route, and associates the corresponding flight plan.

[0090] S35, select the corresponding flight plan of the unmanned aerial vehicle, click one-key takeoff, and click “execute immediately” to control the unmanned aerial vehicle to perform the task.

[0091] S36, the construction unit can remotely view the unmanned aerial vehicle live picture through the cloud platform (and the business system connected by the unmanned aerial vehicle unified management and service platform).

[0092] S37, the unmanned aerial vehicle automatically flies to the rear of the vehicle team according to the flight route requirement, is 50-100 meters away from the rear of the anti-collision vehicle, is 20 meters high from the ground, flies back and forth, and opens the warning light and automatically shouts to perform the warning task.

[0093] S38, arrives at the operation point, the personnel on the construction vehicle get off and perform operations such as placing a board and a cone, after the operation is completed, the vehicle team moves forward, and the unmanned aerial vehicle automatically moves forward with the vehicle team.

[0094] S39, repeating steps S37 and S38 until the construction is completed.

[0095] After the board placing construction is completed, the unmanned aerial vehicle lands back into the vehicle-mounted nest in an alien place (the nest will be moved). After the board placing operation and the like is completed, the vehicle team leaves.

[0096] After the construction is completed, the speed limit board, the reflective cone and the construction warning board need to be removed. The unmanned aerial vehicle safety warning operation process is similar to the third step. The board placing operation and the like is replaced by the board removing operation and the like.

[0097] The embodiment of the present application has the following beneficial effects: in the embodiment, first, the position data of the highway and the take-off parameters of the unmanned aerial vehicle are acquired, the position data of the highway includes the longitude and latitude data and the direction data of the lane, the take-off parameters of the unmanned aerial vehicle include the take-off reference point and the take-off height, the unmanned aerial vehicle is loaded with a task load, visual and / or auditory dynamic air warning is provided through the task load to improve the prominence of the warning, then, the flight route of the unmanned aerial vehicle is generated according to the preset early warning scheme, the position data of the highway and the take-off parameters of the unmanned aerial vehicle, and finally, the flight route of the unmanned aerial vehicle is sent to the unmanned aerial vehicle, so that the unmanned aerial vehicle flies according to the flight route of the unmanned aerial vehicle and completes the warning task after receiving the take-off instruction, the early warning measure is moved forward through the generated flight route, visual and auditory dynamic air warning is provided to the vehicle approaching the construction area, the driver is allowed to reasonably slow down in advance to avoid the construction area, thereby effectively preventing and reducing traffic accidents in the construction area, and the purpose of ensuring driving safety and construction safety is achieved, and one more safety guarantee is added for the highway construction.

[0098] Referring to Figure 6 , the embodiment of the present application provides a highway early warning system based on an unmanned aerial vehicle, which comprises:

[0099] A first module is used to acquire the position data of the highway and the take-off parameters of the unmanned aerial vehicle, the position data of the highway includes the longitude and latitude data and the direction data of the lane, the take-off parameters of the unmanned aerial vehicle include the take-off reference point and the take-off height; the unmanned aerial vehicle is loaded with a task load;

[0100] The second module is configured to generate a flight path of the UAV according to a preset early warning scheme, position data of the road, and takeoff parameters of the UAV.

[0101] The third module is configured to send the flight path of the UAV to the UAV, so that the UAV flies according to the flight path of the UAV and completes the warning task after receiving the takeoff instruction.

[0102] It can be seen that the contents in the method embodiments are applicable to the system embodiments, the system embodiments specifically realize the same functions as the method embodiments, and achieve the same beneficial effects as the method embodiments.

[0103] Referring to Figure 7 The embodiment of the present application provides a road early warning device based on a UAV, which comprises:

[0104] at least one processor;

[0105] at least one memory configured to store at least one program;

[0106] When the at least one program is executed by the at least one processor, the at least one processor implements the method described above.

[0107] The memory is a non-transitory computer readable storage medium, which can be used to store non-transitory software programs and non-transitory computer executable programs. The memory can include a high-speed random access memory, and can also include a non-transitory memory, such as at least one magnetic disk storage device, a flash memory device, or other non-transitory solid-state memory device. In some embodiments, the memory can optionally include a remote memory arranged remotely relative to the processor, and the remote memory can be connected to the processor through a network. Examples of the network include but are not limited to the Internet, an intranet, a local area network, a mobile communication network, and a combination thereof.

[0108] It can be seen that the contents in the method embodiments are applicable to the device embodiments, the device embodiments specifically realize the same functions as the method embodiments, and achieve the same beneficial effects as the method embodiments.

[0109] In addition, the embodiment of the present application also discloses a computer program product or a computer program, which is stored in a computer readable storage medium. The processor of the computer device can read the computer program from the computer readable storage medium, and the processor executes the computer program, so that the computer device executes the method described above.

[0110] The embodiment of the present application also provides a computer readable storage medium, which stores a processor executable program, and the processor executable program is used for implementing the above method when being executed by a processor. Similarly, the contents in the above method embodiment are all applicable to the present storage medium embodiment, the function implemented by the present storage medium embodiment is the same as the above method embodiment, and the beneficial effects achieved by the present storage medium embodiment are also the same as the above method embodiment.

[0111] It can be understood that all or some steps in the above disclosed method and system can be implemented as software, firmware, hardware and appropriate combinations thereof. Some or all physical components can be implemented as software executed by a processor, such as a central processing unit, a digital signal processor or a microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit. Such software can be distributed on a computer readable medium, which can include computer storage media (or non-transitory media) and communication media (or transitory media). As known by those skilled in the art, the term computer storage media includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tapes, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to store desired information and can be accessed by a computer. In addition, as known by those skilled in the art, communication media generally includes computer readable instructions, data structures, program modules or other data in modulated data signals such as carrier waves or other transmission mechanisms, and can include any information delivery medium.

[0112] Referring to Figure 1 The embodiment of the present application provides a highway early warning system based on a UAV, which comprises a UAV, a nest, a flight control terminal, a UAV unified management and service platform, the UAV communicates with the nest and the flight control terminal, the nest communicates with the flight control terminal and the UAV unified management and service platform, and the UAV carries a task load.

[0113] The UAV is used for performing a flight task according to a control instruction and a flight route.

[0114] The flight control terminal is used for acquiring a take-off instruction and sending the take-off instruction to the UAV.

[0115] The UAV unified management and service platform is used for executing the above method.

[0116] The flight control terminal acquires data input by the construction personnel, such as position data of the road, and sends the data to the unmanned aerial vehicle unified management and service center via the nest. After the flight control terminal acquires the take-off instruction input by the construction personnel, the flight control terminal sends the take-off instruction to the unmanned aerial vehicle. The unmanned aerial vehicle unified management and service center sends the flight route of the unmanned aerial vehicle to the unmanned aerial vehicle via the nest. After the unmanned aerial vehicle receives the take-off instruction sent by the flight control terminal, the unmanned aerial vehicle performs the flight task according to the received flight route.

[0117] Optionally, referring to Figure 8 , the system further comprises a cloud platform, and the cloud platform communicates with the unmanned aerial vehicle unified management and service center.

[0118] The cloud platform is configured to display flight video of the unmanned aerial vehicle, and the construction personnel or the staff can watch the task execution of the unmanned aerial vehicle via the cloud platform. The unmanned aerial vehicle sends the flight video to the unmanned aerial vehicle unified management and service center via the nest, and the unmanned aerial vehicle unified management and service center sends the flight video to the cloud platform.

[0119] It can be seen that the content in the method embodiments is applicable to the system embodiments, the system embodiments achieve the same functions as the method embodiments, and achieve the same beneficial effects as the method embodiments.

[0120] The above is a specific description of the preferred embodiments of the present application, but the present application is not limited to the above-mentioned embodiments. Those skilled in the art can make various equivalent modifications or replacements without departing from the spirit of the present application. These equivalent modifications or replacements are all included in the scope defined by the claims of the present application.

Claims

1. A highway early warning method based on unmanned aerial vehicles (UAVs), characterized in that, include: The system acquires data on the location of road construction occupancy and the takeoff parameters of a drone. The road construction location data includes the latitude and longitude data and direction data of the lanes, and the takeoff parameters of the drone include the takeoff reference point and takeoff altitude. The drone carries a mission payload. The flight path of the UAV is generated based on the preset early warning plan, the road construction location data, and the UAV's takeoff parameters; The flight path of the drone is sent to the drone so that after receiving the take-off command, the drone flies along the flight path and completes the warning mission. The step of generating the flight path of the UAV based on the preset early warning scheme, the road construction location data, and the flight parameters of the UAV includes: The takeoff target point is determined based on the takeoff parameters of the UAV; The flight parameters, turnaround point, and number of round trips of the UAV are determined based on the takeoff target point, the preset early warning scheme, and the road construction location data of the highway. The early warning scheme includes the early warning length and execution time, and is determined according to the early warning method or early warning type. The flight parameters include the direction information of the UAV nose, the direction information of the mission payload, and the flight speed. The flight path of the UAV is generated based on the takeoff target point, the turnaround target point, the flight parameters, and the number of round trips.

2. The method according to claim 1, characterized in that, The process of determining the flight parameters, turnaround point, and number of round trips of the UAV based on the takeoff target point, the preset early warning plan, and the road construction location data includes: The direction information of the UAV nose and the direction information of the mission payload are determined based on the direction data of the lane. The turnaround target point is determined based on the takeoff target point, the warning length, and the latitude and longitude data of the lane; The number of round trips is determined based on the execution time, the warning length, and the flight speed.

3. The method according to claim 2, characterized in that, The latitude and longitude data of the lane includes several equally spaced data points. Determining the turnaround target point based on the takeoff target point, the warning length, and the latitude and longitude data of the lane includes: The number of data points is determined based on the warning length and the spacing. The turnaround target point is determined based on the number of the takeoff target point and the number of data points.

4. The method according to any one of claims 1-3, characterized in that, The method further includes: The next takeoff reference point is determined based on the direction data of the lane, and the takeoff parameters of the UAV are updated based on the next takeoff reference point; The flight path of the UAV is updated and generated based on the preset early warning scheme, the road construction location data, and the updated UAV takeoff parameters.

5. A highway early warning system based on unmanned aerial vehicles (UAVs), characterized in that, include: The first module is used to acquire road construction location data and UAV takeoff parameters. The road construction location data includes the latitude and longitude data and direction data of the lanes. The UAV takeoff parameters include the takeoff reference point and takeoff altitude. The UAV carries a mission payload. The second module is used to generate the flight path of the UAV based on the preset early warning scheme, the road construction location data of the highway, and the take-off parameters of the UAV. The third module is used to send the flight path of the UAV to the UAV so that after receiving the take-off command, the UAV will fly along the flight path and complete the warning mission. The step of generating the flight path of the UAV based on the preset early warning scheme, the road construction location data, and the flight parameters of the UAV includes: The takeoff target point is determined based on the takeoff parameters of the UAV; The flight parameters, turnaround point, and number of round trips of the UAV are determined based on the takeoff target point, the preset early warning scheme, and the road construction location data of the highway. The early warning scheme includes the early warning length and execution time, and is determined according to the early warning method or early warning type. The flight parameters include the direction information of the UAV nose, the direction information of the mission payload, and the flight speed. The flight path of the UAV is generated based on the takeoff target point, the turnaround target point, the flight parameters, and the number of round trips.

6. A highway early warning device based on unmanned aerial vehicles (UAVs), characterized in that, include: At least one processor; At least one memory for storing at least one program; When the at least one program is executed by the at least one processor, the at least one processor performs the method as described in any one of claims 1-4.

7. A computer-readable storage medium storing a processor-executable program, characterized in that, The processor-executable program, when executed by the processor, is used to perform the method as described in any one of claims 1-4.

8. A highway early warning system based on unmanned aerial vehicles (UAVs), characterized in that, This includes a drone, a drone housing, a flight control terminal, and a unified drone management and service platform. The drone communicates with the drone housing and the flight control terminal. The drone housing communicates with the flight control terminal and the unified drone management and service platform. The drone carries a mission payload. The drone is used to perform flight missions according to control commands and flight routes; The flight control terminal is used to acquire takeoff commands and send the takeoff commands to the UAV; The unified management and service platform for drones is used to perform the method as described in any one of claims 1-4.

9. The system according to claim 8, characterized in that, The system also includes a cloud platform, which communicates with the unified management and service platform for the drone.

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