CN117826864A - Unmanned aerial vehicle sky eye system - Google Patents

Abstract

The invention relates to the technical field of unmanned aerial vehicle application, in particular to an unmanned aerial vehicle sky-eye system, which comprises the following components: the main control system is used for calculating the number and the type of the unmanned aerial vehicles required according to the task requirements and the optimal flight path from each unmanned aerial vehicle to the target area, sending an unmanned aerial vehicle dispatching instruction to the unmanned aerial vehicle intelligent charging platform, receiving task data information sent by the unmanned aerial vehicle, and processing the task data information; the unmanned aerial vehicle intelligent charging platform is in communication connection with the main control system and is used for dispatching a plurality of unmanned aerial vehicles conforming to task contents to a target area, receiving unmanned aerial vehicles returned to a warehouse and charging the unmanned aerial vehicles with insufficient electric quantity; and the unmanned aerial vehicle is in communication connection with the unmanned aerial vehicle intelligent charging platform and the main control system, and is used for collecting task data information in the target area through various sensors and sending the task data information to the main control system. The invention not only improves the information acquisition efficiency of the unmanned aerial vehicle, but also ensures that the acquired information is more comprehensive and accurate.

Description

Unmanned aerial vehicle sky eye system

Technical Field

The invention relates to the technical field of unmanned aerial vehicle application, in particular to an unmanned aerial vehicle sky-eye system.

Background

Unmanned aerial vehicles, abbreviated as "unmanned aerial vehicles", abbreviated as "UAVs", are unmanned aerial vehicles that are operated by means of radio remote control devices and self-contained programmed control devices, or are operated autonomously, either entirely or intermittently, by an onboard computer. Unmanned aerial vehicle information acquisition has advantages such as high-efficient quick, flexibility, security, variety, cost-effectiveness and real-time feedback, makes it become the ideal instrument of information acquisition in each field. In the military sector, unmanned aerial vehicles are classified into reconnaissance and drones. In the civil aspect, the unmanned aerial vehicle is applied to the fields of aerial photography, agriculture, plant protection, miniature self-timer shooting, express delivery transportation, disaster relief, wild animal observation, infectious disease monitoring, mapping, news reporting, electric power inspection, disaster relief, video shooting, romantic manufacturing and the like, and the application of the unmanned aerial vehicle is greatly expanded.

However, the existing single unmanned aerial vehicle information acquisition system has great limitation, and the main aspects are as follows: (1) The flight time of a single unmanned aerial vehicle is limited by the battery endurance, and long-time tasks cannot be executed; (2) The remote control operation is needed to be carried out manually or a preset task path is simulated on the ground; (3) The single unmanned aerial vehicle has limited load capacity, can not carry too big or overweight sensor equipment, can not provide multiple kinds of acquisition data.

Disclosure of Invention

Therefore, the invention aims to solve the technical problems that a single unmanned aerial vehicle information acquisition system cannot execute a long-time task, manual operation is required and acquired data is single in the prior art.

In order to solve the technical problems, the invention provides an unmanned aerial vehicle sky-eye system, comprising:

the main control system is used for receiving the tasks, selecting the unmanned aerial vehicle intelligent charging platform closest to the target area, calculating the number and the type of the unmanned aerial vehicles required according to the task requirements, and sending an unmanned aerial vehicle dispatching instruction to the unmanned aerial vehicle intelligent charging platform along the optimal flight path from each unmanned aerial vehicle to the target area; receiving task data information sent by an unmanned aerial vehicle, and processing the task data information; sending a bin returning instruction to the unmanned aerial vehicle when the task is stopped;

the unmanned aerial vehicle intelligent charging platform is in communication connection with the main control system and is used for receiving an unmanned aerial vehicle dispatching instruction sent by the main control system, distributing tasks to a plurality of unmanned aerial vehicles conforming to task content and dispatching the unmanned aerial vehicles to a target area; receiving the unmanned aerial vehicle returned to the bin, and charging the unmanned aerial vehicle with insufficient electric quantity;

and the unmanned aerial vehicle is in communication connection with the unmanned aerial vehicle intelligent charging platform and the main control system, and is used for receiving tasks sent by the unmanned aerial vehicle intelligent charging platform, collecting task data information in a target area through various sensors and sending the task data information to the main control system.

In one embodiment of the present invention, the master control system includes:

the task collaborative planning module is used for selecting an unmanned aerial vehicle intelligent charging platform closest to a target area after receiving a task execution instruction, calculating the number and types of required unmanned aerial vehicles according to task requirements, calculating the optimal flight path from each unmanned aerial vehicle to the target area through a neural network algorithm, and generating an unmanned aerial vehicle dispatching instruction;

the data communication module is in communication connection with the task collaborative planning module, the unmanned aerial vehicle intelligent charging platform and a plurality of unmanned aerial vehicles and is used for sending an unmanned aerial vehicle dispatching instruction to the unmanned aerial vehicle intelligent charging platform and sending a warehouse returning instruction to the unmanned aerial vehicle; receiving unmanned aerial vehicle equipment information, task data information, task termination information and a warehouse returning signal sent by an unmanned aerial vehicle intelligent charging platform;

and the data processing module is connected with the data communication module and is used for processing task data information sent by the unmanned aerial vehicle.

In one embodiment of the invention, the task collaborative planning module obtains location information of the unmanned aerial vehicle intelligent charging platform through a radar system.

In one embodiment of the present invention, the master control system further includes:

the weather early warning module is connected with the data communication module and is used for acquiring and judging the weather condition of the current target area after receiving the task, and if the weather condition of the target area is bad, a weather warning is sent out and the task is stopped; if the weather condition of the target area is good, starting to execute the task; and during the task execution of the unmanned aerial vehicle, weather forecast information of a target area is acquired in real time and judged, and when the probability of severe weather occurring in the next period of time is monitored to be larger than a preset threshold value, weather early warning information is sent out.

In one embodiment of the invention, the unmanned aerial vehicle intelligent charging platform adopts a plurality of movable charging units positioned inside the unmanned aerial vehicle intelligent charging platform to automatically and wirelessly charge the unmanned aerial vehicle, and positions the movable charging units through polar coordinates and transverse coordinates.

In one embodiment of the invention, the unmanned aerial vehicle intelligent charging platform adopts a Cartesian coordinate system to position the unmanned aerial vehicle parked on the platform, and two AI cameras arranged at the top end of the unmanned aerial vehicle intelligent charging platform are used for assisting in positioning the unmanned aerial vehicle.

In one embodiment of the invention, an unmanned aerial vehicle cabin is arranged below the unmanned aerial vehicle intelligent charging platform and used for storing unmanned aerial vehicles needing maintenance.

In one embodiment of the invention, the unmanned aerial vehicle comprises:

the sensor interface is used for being connected with various sensors;

the wireless communication module is in communication connection with the unmanned aerial vehicle intelligent charging platform and the main control system, and is used for receiving tasks sent by the unmanned aerial vehicle intelligent charging platform and bin returning instructions sent by the main control system and sending task data information and bin returning signals to the main control system;

the positioning device is used for acquiring the position of the unmanned aerial vehicle in real time;

the power induction device is connected with the wireless communication module and is used for acquiring the power of the unmanned aerial vehicle, when the power induction device of the unmanned aerial vehicle monitors that the power of the unmanned aerial vehicle is lower than a preset threshold value, the current power is judged whether to be the lowest power which is enough to return to the intelligent unmanned aerial vehicle charging platform closest to the current position through a neural network algorithm, and if the current power is the lowest power, a bin returning signal is sent to the main control system through the wireless communication module;

and the automatic navigation module is connected with the positioning device and used for searching an unmanned aerial vehicle intelligent charging platform which is nearest to and has a vacancy when the unmanned aerial vehicle returns to the bin.

In one embodiment of the invention, the sensor interface supports connected sensors including cameras, thermal infrared sensors, and lidar.

The invention also provides application of the unmanned aerial vehicle sky-eye system in the field of agricultural information acquisition.

Compared with the prior art, the technical scheme of the invention has the following advantages:

according to the unmanned aerial vehicle sky-eye system, the task collaborative planning module is utilized to realize collaborative work of a plurality of unmanned aerial vehicles, the plurality of unmanned aerial vehicles carry a plurality of sensors to jointly complete the same or different tasks, richer data types are provided, the efficiency of unmanned aerial vehicle information acquisition is improved, data can be acquired from different angles and heights, multi-angle and multi-layer information is provided, in actual use, the acquired data of the plurality of unmanned aerial vehicles can be fused and processed, the acquired information is more comprehensive and accurate, and a user is helped to know a target area more comprehensively.

According to the unmanned aerial vehicle sky-eye system, the unmanned aerial vehicle monitors the self electric quantity through the electric quantity sensing device, automatically returns to the unmanned aerial vehicle intelligent charging platform to charge when the electric quantity is too low, and meanwhile, the unmanned aerial vehicle intelligent charging platform dispatches a new unmanned aerial vehicle or the charged unmanned aerial vehicle to continue to execute tasks, so that uninterrupted information acquisition within 24 hours is realized, the reliability and fault tolerance of information acquisition of the unmanned aerial vehicle are improved, interruption of the information acquisition tasks is reduced, and the real-time performance of information data is improved.

Drawings

In order that the invention may be more readily understood, a more particular description of the invention will be rendered by reference to specific embodiments thereof that are illustrated in the appended drawings.

Fig. 1 is a schematic structural diagram of a sky-eye system of an unmanned aerial vehicle according to the present invention;

fig. 2 is a schematic structural diagram of an intelligent charging platform of a unmanned aerial vehicle according to an embodiment of the present invention;

fig. 3 is a schematic diagram of a position where an unmanned aerial vehicle is laid by an intelligent charging platform of the unmanned aerial vehicle in an embodiment of the invention;

FIG. 4 is a flow chart of the operation of the present invention unmanned aerial vehicle sky and eye system;

fig. 5 is a flowchart of the low-power unmanned aerial vehicle in the unmanned aerial vehicle sky-eye system of the present invention for performing work handover.

Detailed Description

The present invention will be further described with reference to the accompanying drawings and specific examples, which are not intended to be limiting, so that those skilled in the art will better understand the invention and practice it.

Example 1

The embodiment provides an unmanned aerial vehicle sky eye system, including main control system, unmanned aerial vehicle intelligent charging platform and a plurality of unmanned aerial vehicle.

The master control system includes:

the task collaborative planning module is used for acquiring the position information of the unmanned aerial vehicle intelligent charging platform through the radar system after receiving the task execution instruction, selecting the unmanned aerial vehicle intelligent charging platform closest to the target area, calculating the number and types of unmanned aerial vehicles required according to task requirements, calculating the optimal flight path from each unmanned aerial vehicle to a target area through a neural network algorithm, and generating an unmanned aerial vehicle dispatching instruction;

the data communication module is in communication connection with the task collaborative planning module, the unmanned aerial vehicle intelligent charging platform and a plurality of unmanned aerial vehicles and is used for sending an unmanned aerial vehicle dispatching instruction to the unmanned aerial vehicle intelligent charging platform and sending a warehouse returning instruction to the unmanned aerial vehicle; receiving unmanned aerial vehicle equipment information, task data information, task termination information and a warehouse returning signal sent by an unmanned aerial vehicle intelligent charging platform;

the data processing module is connected with the data communication module and is used for processing task data information sent by the unmanned aerial vehicle;

the weather early warning module is connected with the data communication module and is used for acquiring and judging the weather condition of the current target area after receiving the task, and if the weather condition of the target area is bad, a weather warning is sent out and the task is stopped; if the weather condition of the target area is good, starting to execute the task; and during the task execution of the unmanned aerial vehicle, weather forecast information of a target area is acquired in real time and judged, and when the probability of severe weather occurring in the next period of time is monitored to be larger than a preset threshold value, weather early warning information is sent out.

Weather early warning module real-time supervision unmanned aerial vehicle work area's weather condition carries out early warning in advance to avoid unmanned aerial vehicle to fly under dangerous weather environment, ensure unmanned aerial vehicle's flight safety, prevent that unmanned aerial vehicle from receiving bad weather's harm, extension equipment's life reduces maintenance and replacement cost.

The unmanned aerial vehicle intelligent charging platform is in communication connection with the main control system, and is used for receiving an unmanned aerial vehicle dispatching instruction sent by the main control system, distributing tasks to a plurality of unmanned aerial vehicles conforming to task content, and dispatching the unmanned aerial vehicles to a target area. The laying mode of the unmanned aerial vehicle in the unmanned aerial vehicle intelligent charging platform is shown by referring to fig. 1, and 4, 6 or 7 unmanned aerial vehicles can be laid simultaneously.

Referring to fig. 2, a schematic structural diagram of the unmanned aerial vehicle intelligent charging platform is shown, in this embodiment, the unmanned aerial vehicle intelligent charging platform is designed as a cylinder, and a circular platform is arranged on the cylinder for receiving the unmanned aerial vehicle returned to the warehouse. The laying mode of unmanned aerial vehicles in the intelligent charging platform of the human-machine is shown by referring to fig. 3, and in the actual application scene, users can lay corresponding quantity of unmanned aerial vehicles on the platform according to own requirements. The inside a plurality of mobilizable charging unit that sets up of platform is fixed a position through polar coordinates and transverse coordinates, carries out automatic wireless charging to unmanned aerial vehicle. Unmanned aerial vehicle intelligent charging platform adopts cartesian coordinate system to dock unmanned aerial vehicle above that to carry out assistance-localization real-time to unmanned aerial vehicle through setting up in two AI cameras in unmanned aerial vehicle intelligent charging platform top, so that carry out accurate location to unmanned aerial vehicle, remove charging unit to charge it.

Unmanned aerial vehicle charging platform is provided with in order to hold unmanned aerial vehicle's unmanned aerial vehicle storehouse below it for the unmanned aerial vehicle that needs maintenance of storage.

The unmanned aerial vehicle that this embodiment used with unmanned aerial vehicle intelligent charging platform with master control system communication connection for receive the task that unmanned aerial vehicle intelligent charging platform sent, the task data information in the target area is gathered through multiple sensor, and sends task data information to master control system.

The unmanned aerial vehicle specifically includes:

the sensor interface is used for being connected with various sensors, and the sensors supporting connection comprise a camera, a thermal infrared sensor, a laser radar and other sensors;

the wireless communication module is in communication connection with the unmanned aerial vehicle intelligent charging platform and the main control system, and is used for receiving tasks sent by the unmanned aerial vehicle intelligent charging platform and bin returning instructions sent by the main control system and sending task data information and bin returning information to the main control system;

the positioning device is used for acquiring the position of the unmanned aerial vehicle in real time;

the power induction device is connected with the wireless communication module and is used for acquiring the power of the unmanned aerial vehicle, when the power induction device of the unmanned aerial vehicle monitors that the power of the unmanned aerial vehicle is lower than a preset threshold value, the current power is judged whether to be the lowest power which is enough to return to the intelligent unmanned aerial vehicle charging platform closest to the current position through a neural network algorithm, and if the current power is the lowest power, a bin returning signal is sent to the main control system through the wireless communication module;

and the automatic navigation module is connected with the positioning device and used for searching an unmanned aerial vehicle intelligent charging platform which is nearest to and has a vacancy when the unmanned aerial vehicle returns to the bin.

According to the unmanned aerial vehicle sky-eye system, the plurality of unmanned aerial vehicles work cooperatively through the task collaborative planning module in the main control system, so that the coverage range of an information acquisition target area is larger, and the acquisition efficiency is higher. Different unmanned aerial vehicles can provide multiple kinds of acquisition information through carrying on multiple different sensors to can be from different angles and high collection data, provide multi-angle observation and multi-level information, help know the target area more comprehensively, provide more accurate, exhaustive data information. By fusing and processing the data acquired by the unmanned aerial vehicles, more accurate information acquisition results can be obtained, and the credibility and the use value of the acquired data are improved.

According to the unmanned aerial vehicle sky-eye system, the electric quantity of the unmanned aerial vehicle is monitored in real time through the electric quantity sensing device arranged on the unmanned aerial vehicle, the unmanned aerial vehicle with low electric quantity is recycled and charged through the intelligent charging level platform of the unmanned aerial vehicle, meanwhile, the main control system performs task handover and dispatch on a new unmanned aerial vehicle, uninterrupted information acquisition within 24 hours is achieved, and reliability and fault tolerance of the unmanned aerial vehicle system are improved. Even if one unmanned aerial vehicle breaks down or electric quantity early warning is carried out, other unmanned aerial vehicles can still replace and continue to execute tasks, interruption of information acquisition tasks is reduced, and instantaneity of information data is greatly improved.

Example two

The embodiment introduces a workflow of an unmanned aerial vehicle sky-eye system in actual use, comprising:

referring to fig. 4, after the main control system receives the task, the radar system confirms the target area, the weather early warning module acquires and judges the weather condition of the current target area, and if the weather condition of the target area is bad, the main control system sends out a weather warning and stops the task; and if the weather condition of the target area is good, starting to execute the task.

The main control system acquires the position information of each unmanned aerial vehicle intelligent charging platform through the radar, and selects one or more unmanned aerial vehicle intelligent charging platforms closest to the target area. The task collaborative planning module in the main control system calculates the number of required unmanned aerial vehicles according to task requirements, determines a target information acquisition type according to task content, selects unmanned aerial vehicles with corresponding sensors to acquire accurate information, calculates the optimal flight path from each unmanned aerial vehicle to a target area through a neural network algorithm, and sends unmanned aerial vehicle dispatching instructions to one or more unmanned aerial vehicle intelligent charging platforms closest to the unmanned aerial vehicles. The unmanned aerial vehicle dispatching instructions comprise the type and the number of unmanned aerial vehicles required by a task, the task content of each unmanned aerial vehicle and the optimal flight path of each unmanned aerial vehicle to a target area.

After receiving the unmanned aerial vehicle dispatching instruction sent by the main control system, the unmanned aerial vehicle intelligent charging platform distributes tasks to a plurality of unmanned aerial vehicles conforming to task content according to the unmanned aerial vehicle dispatching instruction dispatching and unmanned aerial vehicle grouping technology, and dispatches the unmanned aerial vehicles to the target area. The unmanned investigation system comprises a unmanned investigation unmanned aerial vehicle, an unmanned acquisition unmanned aerial vehicle, a control system and a control system, wherein the unmanned investigation unmanned aerial vehicle is responsible for investigation targets, and the unmanned investigation unmanned aerial vehicle is responsible for acquiring signal information.

And after each unmanned aerial vehicle reaches the target area, the unmanned aerial vehicle starts to execute tasks, task data information of the target area is acquired according to respective task content, and the task data information is sent to the main control system in real time through the wireless communication module.

The main control system receives task data information sent by the unmanned aerial vehicle, and the data processing module processes the task data information.

After the unmanned aerial vehicle executes the current task, automatically sending task termination information to the main control system, and simultaneously receiving and executing the next task sent by the main control system.

Referring to fig. 5, during the unmanned aerial vehicle performs a task, the unmanned aerial vehicle acquires its own position information and power information through the positioning device and the power sensing device. When the electric quantity sensing device of the unmanned aerial vehicle monitors that the electric quantity of the unmanned aerial vehicle is lower than a preset threshold value, the unmanned aerial vehicle judges whether the current electric quantity is the minimum electric quantity which is enough to return to the unmanned aerial vehicle intelligent charging platform closest to the current position through a neural network algorithm, if the current electric quantity is the minimum electric quantity, the unmanned aerial vehicle sends a warehouse returning signal to a main control system, the current task is stopped, the unmanned aerial vehicle returns to the unmanned aerial vehicle intelligent charging platform closest to the current position and provided with a vacancy through an automatic navigation module to charge, and a next task instruction is waited.

After the main control system receives a bin returning signal sent by the unmanned aerial vehicle, the task collaborative planning module sends an unmanned aerial vehicle dispatching instruction to an unmanned aerial vehicle intelligent charging platform closest to a target area again, the unmanned aerial vehicle intelligent charging platform receives the unmanned aerial vehicle dispatching instruction, a new unmanned aerial vehicle is dispatched or the charged unmanned aerial vehicle takes over the bin returning unmanned aerial vehicle, and the task which is not completed by the bin returning unmanned aerial vehicle is continuously executed.

After the unmanned aerial vehicle intelligent charging platform receives the low-power warehouse-returning unmanned aerial vehicle, the low-power warehouse-returning unmanned aerial vehicle is subjected to wireless charging, and unmanned aerial vehicle equipment information of the current platform is updated to the main control system.

And during the task execution of the unmanned aerial vehicle, the weather early warning module acquires weather forecast information of the target area in real time and judges the weather forecast information, and when the main control system monitors that severe weather occurs in a higher probability in the next period of time, the main control system sends out the weather early warning information. When the master control system receives the task suspension instruction, the master control system informs all unmanned aerial vehicles executing tasks to return to the unmanned aerial vehicle intelligent charging platform. The unmanned aerial vehicle returns to the unmanned aerial vehicle intelligent charging platform which is closest to the unmanned aerial vehicle and has a vacant position through the automatic navigation module, and waits for the next task instruction.

Example III

The embodiment provides application of the unmanned aerial vehicle sky-eye system in the agricultural field, and the workflow of agricultural information acquisition of the unmanned aerial vehicle sky-eye system is explained below.

1. Task preparation stage

The main control system receives an agricultural information acquisition task and confirms task requirements: monitoring crop growth and assessing health conditions; monitoring soil humidity, and optimizing an irrigation scheme; accurate fertilization, especially for the areas of lack of nutrients.

The main control system determines a task target farmland through the radar system, the weather early warning module acquires and judges weather conditions of the current target farmland, and if the weather conditions of the target farmland are good, the task is started to be executed.

Aiming at the task requirements, the task collaborative planning module selects an unmanned aerial vehicle suitable for executing tasks, wherein the fixed-wing unmanned aerial vehicle is used for monitoring tasks in a large range, and the rotary-wing unmanned aerial vehicle is used for fine operation in a specific area; and clarifies various sensors loaded by the unmanned aerial vehicle, including: the multispectral camera is used for analyzing crop growth, the infrared camera is used for detecting soil humidity, and the high-precision GPS is used for positioning.

The task collaborative planning module selects a plurality of unmanned aerial vehicle intelligent charging platforms closest to a task target farmland through a radar system, calculates the optimal flight path from each unmanned aerial vehicle required by the task to the target farmland through a neural network algorithm such as Geographic Information System (GIS) software, ensures the timely arrival of the unmanned aerial vehicle and the coverage of the full task target farmland, generates an unmanned aerial vehicle dispatching instruction, and sends the unmanned aerial vehicle dispatching instruction to the unmanned aerial vehicle intelligent charging platforms through a data communication module.

2. Task execution phase

The unmanned aerial vehicle intelligent charging platform receives an unmanned aerial vehicle dispatching instruction sent by the main control system, plans tasks for unmanned aerial vehicle groups, and dispatches specific acquisition areas to each unmanned aerial vehicle executing the tasks.

And all unmanned aerial vehicles are delivered out of the warehouse collectively after being coordinated, and fly to a target farmland according to the calculated preset path. The unmanned aerial vehicles coordinate with the task collaborative planning module through the wireless communication module, so that mutual conflict is avoided.

And carrying out task data acquisition after the unmanned aerial vehicle reaches a target farmland, wherein the fixed wing unmanned aerial vehicle carries out rapid scanning on the whole farmland, collects preliminary data, and the rotor unmanned aerial vehicle carries out detailed inspection on a specific area according to the preliminary data.

The unmanned aerial vehicle transmits the collected farmland information back to the main control system in real time through the wireless communication module. The main control system receives farmland information sent by the unmanned aerial vehicle and monitors the working state of the unmanned aerial vehicle in real time.

And when the unmanned aerial vehicle is in the task execution period, when the electric quantity sensing device monitors that the electric quantity of the unmanned aerial vehicle is lower than a preset threshold value, judging whether the current electric quantity is the minimum electric quantity which is enough to return to the unmanned aerial vehicle intelligent charging platform closest to the current position through a neural network algorithm, if the current electric quantity is the minimum electric quantity, sending a bin returning signal to a main control system by the unmanned aerial vehicle, stopping the current task, and returning to the unmanned aerial vehicle intelligent charging platform closest to the current position and provided with a vacancy through an automatic navigation module for charging. The main control system receives the unmanned aerial vehicle warehouse returning signal, and sends an unmanned aerial vehicle dispatching instruction to the unmanned aerial vehicle intelligent charging platform closest to the target farmland again, and a new unmanned aerial vehicle is dispatched again to continue to execute the task which is not completed by the warehouse returning unmanned aerial vehicle.

And during the task execution period of the unmanned aerial vehicle, the weather early warning module acquires weather forecast information of the target farmland in real time, judges the weather forecast information, and adjusts the task plan of the unmanned aerial vehicle in real time according to the weather condition of the target farmland.

3. Post-treatment stage

The main control system receives farmland information sent by the unmanned aerial vehicle, and the data processing module analyzes the multidimensional information by using special data processing software and extracts key indexes such as crop growth indexes, soil humidity and the like.

The main control system applies the analysis result of the data processing module to actual agricultural production, and performs fine farmland management decisions according to farmland information acquired by the unmanned aerial vehicle, such as guiding the unmanned aerial vehicle to accurately fertilize, optimizing irrigation plans and the like, and continuously adjusting strategies of unmanned aerial vehicle acquisition tasks according to effects.

4. Maintenance phase

And after the unmanned aerial vehicle finishes the task, returning to the unmanned aerial vehicle intelligent charging platform, and checking and maintaining the unmanned aerial vehicle.

The main control system archives and backs up all farmland information collected by the unmanned aerial vehicle so as to be convenient for future reference, records the flow and result of the task, summarizes experience and improves the future collection task.

The unmanned aerial vehicle sky-eye system is applied to the field of agricultural information acquisition, effectively improves the precision and efficiency of agricultural production, reduces the labor cost in the agricultural production, and provides a large amount of data to guide the development of production work.

It is apparent that the above examples are given by way of illustration only and are not limiting of the embodiments. Other variations and modifications of the present invention will be apparent to those of ordinary skill in the art in light of the foregoing description. It is not necessary here nor is it exhaustive of all embodiments. And obvious variations or modifications thereof are contemplated as falling within the scope of the present invention.

Claims (10)

1. An unmanned aerial vehicle sky-eye system, comprising:

the main control system is used for receiving the tasks, selecting the unmanned aerial vehicle intelligent charging platform closest to the target area, calculating the number and the type of the unmanned aerial vehicles required according to the task requirements, and sending an unmanned aerial vehicle dispatching instruction to the unmanned aerial vehicle intelligent charging platform along the optimal flight path from each unmanned aerial vehicle to the target area;

receiving task data information sent by an unmanned aerial vehicle, and processing the task data information; sending a bin returning instruction to the unmanned aerial vehicle when the task is stopped;

the unmanned aerial vehicle intelligent charging platform is in communication connection with the main control system and is used for receiving an unmanned aerial vehicle dispatching instruction sent by the main control system, distributing tasks to a plurality of unmanned aerial vehicles conforming to task content and dispatching the unmanned aerial vehicles to a target area; receiving the unmanned aerial vehicle returned to the bin, and charging the unmanned aerial vehicle with insufficient electric quantity;

and the unmanned aerial vehicle is in communication connection with the unmanned aerial vehicle intelligent charging platform and the main control system, and is used for receiving tasks sent by the unmanned aerial vehicle intelligent charging platform, collecting task data information in a target area through various sensors and sending the task data information to the main control system.

2. The unmanned aerial vehicle sky-eye system of claim 1, wherein the master control system comprises:

the task collaborative planning module is used for selecting the unmanned aerial vehicle intelligent charging platform closest to the target area after receiving the task execution instruction, calculating the number and the type of the required unmanned aerial vehicles according to the task requirement, calculating the optimal flight path from each unmanned aerial vehicle to the target area through a neural network algorithm,

generating an unmanned aerial vehicle dispatch instruction;

the data communication module is in communication connection with the task collaborative planning module, the unmanned aerial vehicle intelligent charging platform and a plurality of unmanned aerial vehicles and is used for sending an unmanned aerial vehicle dispatching instruction to the unmanned aerial vehicle intelligent charging platform and sending a warehouse returning instruction to the unmanned aerial vehicle; receiving unmanned aerial vehicle equipment information, task data information, task termination information and a warehouse returning signal sent by an unmanned aerial vehicle intelligent charging platform;

and the data processing module is connected with the data communication module and is used for processing task data information sent by the unmanned aerial vehicle.

3. The unmanned aerial vehicle sky-eye system of claim 2, wherein the mission co-planning module obtains location information of the unmanned aerial vehicle intelligent charging platform via a radar system.

4. The unmanned aerial vehicle sky-eye system of claim 2, wherein the master control system further comprises:

the weather early warning module is connected with the data communication module and is used for acquiring and judging the weather condition of the current target area after receiving the task, and if the weather condition of the target area is bad, a weather warning is sent out and the task is stopped; if the weather condition of the target area is good, starting to execute the task; during the execution of the task by the unmanned aerial vehicle, weather forecast information of the target area is acquired in real time and judged,

and when the probability of severe weather occurring in the next period of time is monitored to be larger than a preset threshold value, weather early warning information is sent out.

5. The unmanned aerial vehicle sky-eye system of claim 1, wherein the unmanned aerial vehicle intelligent charging platform employs a plurality of mobile charging units located inside the unmanned aerial vehicle intelligent charging platform to automatically and wirelessly charge the unmanned aerial vehicle, and positions the mobile charging units through polar coordinates and transverse coordinates.

6. The unmanned aerial vehicle sky-eye system of claim 1, wherein the unmanned aerial vehicle intelligent charging platform positions the unmanned aerial vehicle parked on the platform by using a cartesian coordinate system, and performs auxiliary positioning on the unmanned aerial vehicle by two AI cameras arranged on the top of the unmanned aerial vehicle intelligent charging platform.

7. The unmanned aerial vehicle sky-eye system of claim 1, wherein an unmanned aerial vehicle cabin is arranged below the unmanned aerial vehicle intelligent charging platform and is used for storing unmanned aerial vehicles which need maintenance.

8. The unmanned aerial vehicle sky-eye system of claim 1, wherein the unmanned aerial vehicle comprises:

the sensor interface is used for being connected with various sensors;

the wireless communication module is in communication connection with the unmanned aerial vehicle intelligent charging platform and the master control system,

the system comprises a main control system, a task data information and a bin returning signal, wherein the main control system is used for receiving a task sent by the intelligent charging platform of the unmanned aerial vehicle and a bin returning instruction sent by the main control system;

the positioning device is used for acquiring the position of the unmanned aerial vehicle in real time;

the power induction device is connected with the wireless communication module and is used for acquiring the power of the unmanned aerial vehicle, when the power induction device of the unmanned aerial vehicle monitors that the power of the unmanned aerial vehicle is lower than a preset threshold value, the current power is judged whether to be the lowest power which is enough to return to the intelligent unmanned aerial vehicle charging platform closest to the current position through a neural network algorithm, and if the current power is the lowest power, a bin returning signal is sent to the main control system through the wireless communication module;

and the automatic navigation module is connected with the positioning device and used for searching an unmanned aerial vehicle intelligent charging platform which is nearest to and has a vacancy when the unmanned aerial vehicle returns to the bin.

9. The unmanned aerial vehicle sky-eye system of claim 8, wherein the sensor interface supports connected sensors including cameras, thermal infrared sensors, lidar.

10. Use of the unmanned aerial vehicle sky-eye system according to any one of claims 1 to 9 in the field of agricultural information acquisition.