Networking unmanned aerial vehicle airport intelligent scheduling system and method

Abstract

The application discloses a networked unmanned plane airport intelligent scheduling system and method, and belongs to the technical field of unmanned plane intelligent scheduling. The system comprises a network communication module, a charging management module, an environment monitoring module, a data storage module, an unmanned plane management module and an intelligent scheduling module. The network communication module is used for receiving and sending unmanned plane task execution data. The charging management module is used for ensuring that the unmanned plane can be safely charged. The environment monitoring module is used for monitoring the internal and external environment conditions of the unmanned plane airport, and ensuring that the unmanned plane can safely execute tasks. The data storage module is used for storing video information collected by the unmanned plane. The unmanned plane management module is used for storing and controlling multiple unmanned planes. The intelligent scheduling module is used for analyzing module data information, and issuing instructions through intelligent scheduling. The application can provide a system and method, so that the networked unmanned plane can continuously and efficiently work, and the stability of the whole link is enhanced.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of unmanned aerial vehicle intelligent scheduling, in particular to a networking unmanned aerial vehicle airport intelligent scheduling system and method. BACKGROUND

[0002] The unmanned aerial vehicle airport is an unmanned application carrier of the industry scene, has the characteristics of out-of-box use, autonomous control, stability and reliability, high environmental adaptability, etc., through automatic operation, the unmanned aerial vehicle airport not only improves the task efficiency, but also saves the cost of manpower and material resources, and is widely used in the fields of security, emergency rescue, environmental protection, geological survey, etc.

[0003] The unmanned aerial vehicle ad hoc network can complete the task through the cooperation of multiple unmanned aerial vehicles, realizes the rapid transmission and sharing of information between multiple unmanned aerial vehicles through the ad hoc network technology, and expands the transmission distance, however, limited by the battery capacity of the unmanned aerial vehicle, the battery must be replaced within a certain time, which affects the stability of the whole link, and the setting of the relay station has high cost, which greatly reduces the convenience of the unmanned aerial vehicle airport. SUMMARY

[0004] The purpose of the present application is to provide a networking unmanned aerial vehicle airport intelligent scheduling system and method to solve the problems raised in the background.

[0005] In order to solve the above technical problems, the present application provides the following technical scheme: a networking unmanned aerial vehicle airport intelligent scheduling system, which comprises a network communication module, a charging management module, an environment monitoring module, a data storage module, an unmanned aerial vehicle management module and an intelligent scheduling module;

[0006] The network communication module is used for receiving and sending unmanned aerial vehicle task execution data; the charging management module is used for monitoring the charging information of the unmanned aerial vehicle and safely charging the unmanned aerial vehicle; the environment monitoring module is used for monitoring the internal and external environment of the unmanned aerial vehicle airport to ensure that the unmanned aerial vehicle can safely perform the task; the data storage module is used for storing the video information collected by the unmanned aerial vehicle; the unmanned aerial vehicle management module is used for storing and controlling the unmanned aerial vehicle; the intelligent scheduling module is used for analyzing the module data information and issuing instructions through intelligent scheduling;

[0007] The intelligent scheduling module and the network communication module are connected with each other; the intelligent scheduling module and the charging management module are connected with each other; the intelligent scheduling module and the environment monitoring module are connected with each other; the intelligent scheduling module and the data storage module are connected with each other; the monitoring module and the unmanned aerial vehicle management module are connected with each other.

[0008] According to the above technical scheme, the charging management module comprises a current and voltage monitoring unit and a power detection unit.

[0009] The current-voltage monitoring unit is used for monitoring the current-voltage information when the unmanned aerial vehicle is charging, and sending the monitoring data to the intelligent scheduling module.

[0010] The power detection unit is used for charging the unmanned aerial vehicle, and calculating the current power of the unmanned aerial vehicle, and sending the current power information to the intelligent scheduling module.

[0011] According to the above technical solution, the environment monitoring module comprises an external environment monitoring unit and an internal environment monitoring unit;

[0012] The external environment monitoring unit is used for monitoring the external environment of the unmanned aerial vehicle airport, including temperature, wind speed, visibility, air humidity and air density, and sending the monitoring data to the intelligent scheduling module.

[0013] The internal environment monitoring unit is used for monitoring the internal temperature and humidity of the unmanned aerial vehicle airport, and sending the monitoring data to the intelligent scheduling module.

[0014] According to the above technical solution, the unmanned aerial vehicle management module contains N unmanned aerial vehicle storage areas, and each storage area stores one unmanned aerial vehicle; the unmanned aerial vehicle management module controls the unmanned aerial vehicle by receiving the instructions from the intelligent scheduling module, and sends the storage condition of the unmanned aerial vehicle to the intelligent scheduling module.

[0015] Wherein, N represents the number of unmanned aerial vehicle storage areas in the unmanned aerial vehicle management module, and the number of N is not less than 4; each unmanned aerial vehicle is equipped with a mobile ad hoc network communication system and a power detection system, the mobile ad hoc network communication system can form any network topology through wireless connection according to the position information of itself, and the power detection system is used for detecting the remaining power of the unmanned aerial vehicle.

[0016] According to the above technical solution, the intelligent scheduling module is used for analyzing the data information from the network communication module, the charging management module, the environment monitoring module and the unmanned aerial vehicle management module, intelligently scheduling the unmanned aerial vehicle, ensuring the safe operation of the unmanned aerial vehicle, planning the task and route of the unmanned aerial vehicle, and enabling the unmanned aerial vehicles to long-term cooperate with each other to complete the task.

[0017] A networking unmanned aerial vehicle airport intelligent scheduling method, the method comprising the following steps:

[0018] S10, the unmanned aerial vehicle airport receives a networking survey task instruction, judges whether to execute the task according to the internal and external environment of the unmanned aerial vehicle airport and the power of the unmanned aerial vehicle, if the task cannot be executed, executes step S20, if the task can be executed, executes step S30;

[0019] S20, refuse to execute;

[0020] S30, the unmanned aerial vehicle management module organizes the m unmanned aerial vehicles to go to the target place for surveying according to the best route and network topology structure selected by the intelligent scheduling module, if the power of the unmanned aerial vehicle going out for surveying is sufficient, step S50 is executed, if there is insufficient power of the unmanned aerial vehicle during the process of going out for surveying, step S40 is executed;

[0021] S40, when the power of the unmanned aerial vehicle a is insufficient, the unmanned aerial vehicle b is used as a network communication node to send the information of insufficient power to the intelligent scheduling module, the intelligent scheduling module sends a scheduling instruction to let the unmanned aerial vehicle c go to the working position of the unmanned aerial vehicle b to replace the work of the unmanned aerial vehicle b, at the same time, the unmanned aerial vehicle b goes to the position of the unmanned aerial vehicle a to replace the work of the unmanned aerial vehicle a, when the unmanned aerial vehicle b reaches the position of the unmanned aerial vehicle a, completes the task handover, and the unmanned aerial vehicle a returns to the unmanned aerial vehicle airport for charging, step S50 is executed;

[0022] S50, after the work is completed, the intelligent scheduling module sends an instruction to let the m unmanned aerial vehicles return to the unmanned aerial vehicle airport through the best route;

[0023] Wherein, m represents the number of unmanned aerial vehicles currently performing tasks, and m cannot be less than 2; the unmanned aerial vehicle management module is used for storing and controlling the unmanned aerial vehicles, and there is always an unmanned aerial vehicle stored in the unmanned aerial vehicle management module; the intelligent scheduling module is used for analyzing module data information and issuing instructions through intelligent scheduling; a represents an unmanned aerial vehicle at the outermost periphery in the unmanned aerial vehicle topology network; b represents an unmanned aerial vehicle as an intermediate network communication node in the unmanned aerial vehicle topology network; c represents an unmanned aerial vehicle stored in the unmanned aerial vehicle management module; the distance between the unmanned aerial vehicle b and the unmanned aerial vehicle c should be kept within the normal communication range during movement.

[0024] If there is no emergency, there is always an unmanned aerial vehicle waiting for a task instruction in the unmanned aerial vehicle management module;

[0025] Wherein, the emergency includes failure of the unmanned aerial vehicle going out for work and low power.

[0026] When the unmanned aerial vehicle going out for work has an emergency, the intelligent scheduling module can send an emergency instruction to the unmanned aerial vehicle management module to let the unmanned aerial vehicle being stored go directly to the fault unmanned aerial vehicle position to replace the work, at the same time, the network topology structure is changed through scheduling to control the unmanned aerial vehicle with the lowest power to return to the unmanned aerial vehicle airport for charging.

[0027] In step S30, the UAVs on the periphery of the network topology are responsible for surveying tasks, and the UAVs inside the topology only serve as network communication nodes. Since the task amount of the UAVs on the periphery of the network topology is larger, the power consumption is also faster. Therefore, when the UAVs are working, the UAVs on the periphery of the network topology always run out of power faster than the UAVs inside the topology. When the UAVs on the periphery of the network topology run out of power, the UAVs inside the topology take over the work of the UAVs on the periphery of the network topology. At the same time, the UAV management module controls the stored UAVs to take over the UAVs inside the topology.

[0028] In step S40, the method for judging whether the power of the UAV a is sufficient comprises the following steps:

[0029] S101, according to the position of the surveying task site of the UAV a and the UAV airport, the best route for the UAV a to return to the UAV airport is planned, and the required power A of the UAV a to return to the UAV airport is calculated according to the route and the current power consumption speed;

[0030] S102, according to the position information of the UAV b and the UAV a, the best route for the UAV b to reach the UAV a is planned, and the power consumption B of the UAV a in the position time period of the UAV b to the UAV a is calculated according to the route;

[0031] S103, setting a UAV power threshold D; when the power of the UAV a is greater than the threshold D, the power is sufficient; when the power of the UAV a reaches the threshold D, the power is insufficient;

[0032] Wherein, D>A+B.

[0033] Compared with the prior art, the present application has the beneficial effects that: a networked UAV airport intelligent scheduling system and method are provided, which enables the networked UAV to work continuously and efficiently, avoids the problem that the UAV cannot maintain a working state for a long time due to insufficient power, reduces the operation cost, increases the convenience of the UAV airport, and solves the problem when an emergency occurs, thereby improving the continuity and stability of the whole link. BRIEF DESCRIPTION OF DRAWINGS

[0034] The accompanying drawings are used to provide a further understanding of the present application, and constitute a part of the specification, together with the embodiments of the present application, to explain the present application, and do not constitute a limitation on the present application. In the drawings:

[0035] Fig. 1 is a structural schematic diagram of the networked UAV airport intelligent scheduling system of the present application.

[0036] Fig. 2 is a step schematic diagram of the networked UAV airport intelligent scheduling method of the present application.

[0037] Fig. 3It is a scheduling condition of the present application that the unmanned aerial vehicle appears power shortage when the networked unmanned aerial vehicle goes out for work in the networked unmanned aerial vehicle airport intelligent scheduling method;

[0038] In the formula, a1 represents a unmanned aerial vehicle with power shortage in the topological network; b1 represents a unmanned aerial vehicle as a network communication node of a1 in the topological network; and c1 represents a unmanned aerial vehicle stored in the unmanned aerial vehicle management module. DETAILED DESCRIPTION

[0039] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of the present application.

[0040] Please refer to Figs. 1-3 The present application provides a technical solution: an intelligent scheduling system for a networked unmanned aerial vehicle airport, which comprises a network communication module, a charging management module, an environment monitoring module, a data storage module, an unmanned aerial vehicle management module and an intelligent scheduling module.

[0041] The network communication module is used for receiving and sending unmanned aerial vehicle task execution data; the charging management module is used for monitoring unmanned aerial vehicle charging information and safely charging the unmanned aerial vehicle; the environment monitoring module is used for monitoring the internal and external environment of the unmanned aerial vehicle airport to ensure that the unmanned aerial vehicle can safely perform tasks; the data storage module is used for storing video information collected by the unmanned aerial vehicle; the unmanned aerial vehicle management module is used for storing and controlling the unmanned aerial vehicle; and the intelligent scheduling module is used for analyzing module data information and issuing instructions through intelligent scheduling.

[0042] The intelligent scheduling module and the network communication module are connected to each other; the intelligent scheduling module and the charging management module are connected to each other; the intelligent scheduling module and the environment monitoring module are connected to each other; the intelligent scheduling module and the data storage module are connected to each other; and the monitoring module and the unmanned aerial vehicle management module are connected to each other.

[0043] The charging management module comprises a current and voltage monitoring unit and a power detection unit.

[0044] The current and voltage monitoring unit is used for monitoring current and voltage information when the unmanned aerial vehicle is charging, and sending the monitoring data to the intelligent scheduling module.

[0045] The power detection unit is used for charging the unmanned aerial vehicle and calculating the current power of the unmanned aerial vehicle, and sending the current power information to the intelligent scheduling module.

[0046] The environment monitoring module comprises an external environment monitoring unit and an internal environment monitoring unit;

[0047] The external environment monitoring unit is used for monitoring the external environment of the unmanned aerial vehicle airport, including temperature, wind speed, visibility, air humidity and air density, and sending the monitoring data to the intelligent scheduling module;

[0048] The internal environment monitoring unit is used for monitoring the internal temperature and humidity of the unmanned aerial vehicle airport, and sending the monitoring data to the intelligent scheduling module.

[0049] The unmanned aerial vehicle management module contains N unmanned aerial vehicle storage areas, and each storage area stores one unmanned aerial vehicle; the unmanned aerial vehicle management module controls the unmanned aerial vehicle by receiving the instructions from the intelligent scheduling module, and sends the unmanned aerial vehicle storage information to the intelligent scheduling module;

[0050] Wherein, N represents the number of unmanned aerial vehicle storage areas in the unmanned aerial vehicle management module, and the number of N is not less than 4; each unmanned aerial vehicle is equipped with a mobile ad hoc network communication system and a power detection system, the mobile ad hoc network communication system can form any network topology through wireless connection according to its own position information, and the power detection system is used for detecting the remaining power of the unmanned aerial vehicle.

[0051] The intelligent scheduling module is used for analyzing the data information from the network communication module, the charging management module, the environment monitoring module and the unmanned aerial vehicle management module, intelligently scheduling the unmanned aerial vehicles, ensuring the safe operation of the unmanned aerial vehicles, planning the unmanned aerial vehicle operation tasks and routes, and enabling the unmanned aerial vehicles to long-term mutual cooperation to complete the tasks.

[0052] A networking type unmanned aerial vehicle airport intelligent scheduling method, the method comprising the following steps:

[0053] S10, the unmanned aerial vehicle airport receives a networking type surveying task instruction, judges whether to execute the task according to the internal and external environment of the unmanned aerial vehicle airport and the power of the unmanned aerial vehicle, if the task cannot be executed, executes step S20, if the task can be executed, executes step S30;

[0054] S20, refuse to execute;

[0055] S30, the unmanned aerial vehicle management module organizes m unmanned aerial vehicles to go to the target place for surveying according to the best route and network topology structure selected by the intelligent scheduling module, if the power of the unmanned aerial vehicle for surveying is sufficient, executes step S50, if there is insufficient power of the unmanned aerial vehicle during the process of surveying, executes step S40;

[0056] S40, when the unmanned aerial vehicle a is insufficient, through the unmanned aerial vehicle b as a network communication node, the intelligent scheduling module sends information to the intelligent scheduling module, the intelligent scheduling module sends scheduling instruction, let unmanned aerial vehicle c to the work position of unmanned aerial vehicle b instead of unmanned aerial vehicle b work, at the same time, unmanned aerial vehicle b to the position of unmanned aerial vehicle a instead of unmanned aerial vehicle a work, when unmanned aerial vehicle b reaches the position of unmanned aerial vehicle a, completes the task handover, unmanned aerial vehicle a returns to the unmanned aerial vehicle airport for charging, executes step S50;

[0057] S50, complete the task, the intelligent scheduling module sends instruction to make m unmanned aerial vehicle return to the unmanned aerial vehicle airport through the best route;

[0058] Wherein, m represents the number of unmanned aerial vehicles currently performing tasks, and m cannot be less than 2; the unmanned aerial vehicle management module is used for storing and controlling unmanned aerial vehicles, and there is always an unmanned aerial vehicle stored in the unmanned aerial vehicle management module; the intelligent scheduling module is used for analyzing module data information and issuing instructions through intelligent scheduling; a represents an unmanned aerial vehicle at the outermost periphery of the unmanned aerial vehicle topology network; b represents an unmanned aerial vehicle as an intermediate network communication node in the unmanned aerial vehicle topology network; c represents an unmanned aerial vehicle stored in the unmanned aerial vehicle management module; the distance between unmanned aerial vehicle b and unmanned aerial vehicle c should be kept within the normal communication range during movement.

[0059] If there is no emergency, there is always an unmanned aerial vehicle waiting for task instructions in the unmanned aerial vehicle management module;

[0060] Wherein, the emergency includes malfunction and low battery of the unmanned aerial vehicle going out for work.

[0061] When the unmanned aerial vehicle going out for work has an emergency, the intelligent scheduling module can send emergency instructions to the unmanned aerial vehicle management module to let the unmanned aerial vehicle being stored go directly to the fault unmanned aerial vehicle location to replace the work, at the same time, the network topology structure is changed through scheduling to control the unmanned aerial vehicle with the lowest battery to return to the unmanned aerial vehicle airport for charging.

[0062] In step S30, the unmanned aerial vehicle at the periphery of the network topology structure is responsible for surveying tasks, and the unmanned aerial vehicles inside the topology structure only serve as network communication nodes. Since the task amount of the unmanned aerial vehicle at the periphery of the network topology structure is larger, the power consumption is also faster, so when the unmanned aerial vehicle works, the unmanned aerial vehicle at the periphery of the network topology structure always runs out of power faster than the unmanned aerial vehicle inside the topology structure. When the unmanned aerial vehicle at the periphery of the network topology structure runs out of power, the unmanned aerial vehicle inside the topology structure replaces the unmanned aerial vehicle at the periphery of the network topology structure, and at the same time, the unmanned aerial vehicle management module controls the stored unmanned aerial vehicle to replace the unmanned aerial vehicle inside the topology structure.

[0063] In step S40, the method for judging whether the power of unmanned aerial vehicle a is sufficient is as follows:

[0064] S101, according to the position of the unmanned aerial vehicle a survey task place and the unmanned aerial vehicle airport, the best route of the unmanned aerial vehicle a returning to the unmanned aerial vehicle airport is planned, and the required power A of the unmanned aerial vehicle a returning to the unmanned aerial vehicle airport is calculated according to the route and the current power consumption speed;

[0065] S102, according to the position information of the unmanned aerial vehicle b and the unmanned aerial vehicle a, the best route of the unmanned aerial vehicle b to the unmanned aerial vehicle a is planned, and the power consumption B of the unmanned aerial vehicle a in the position time period of the unmanned aerial vehicle b to the unmanned aerial vehicle a is calculated according to the route;

[0066] S103, setting the unmanned aerial vehicle power threshold D; when the power of the unmanned aerial vehicle a is greater than the threshold D, the power is sufficient; when the power of the unmanned aerial vehicle a reaches the threshold D, the power is insufficient;

[0067] Wherein, D > A + B.

[0068] In this embodiment:

[0069] Please refer to Fig. 3 , which shows a kind of topological network structure when networked unmanned aerial vehicle goes out to work;

[0070] When the power of the unmanned aerial vehicle a1 is insufficient when performing task, the information of insufficient power is sent to the nearest unmanned aerial vehicle b1, and the unmanned aerial vehicle b1 as network communication node sends the information to the intelligent scheduling module through network information module;

[0071] After the intelligent scheduling module receives the information, instruction is sent to the unmanned aerial vehicle management module, controls the unmanned aerial vehicle c1 to go to the task place of the unmanned aerial vehicle b1 to replace the task of network communication node, at the same time, the intelligent scheduling module sends instruction to the unmanned aerial vehicle b1 through network communication module, and the unmanned aerial vehicle b1 goes to the task place of the unmanned aerial vehicle a1 to replace the remaining survey task;

[0072] When the unmanned aerial vehicle b1 reaches the work place of the unmanned aerial vehicle a1, the unmanned aerial vehicle a1 returns to the unmanned aerial vehicle airport to charge.

[0073] It should be noted that, in this paper, relationship terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between the entities or operations. Moreover, the terms "include", "contain" or any other variant thereof are intended to cover non-exclusive inclusion, so that the process, method, article or equipment including a series of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to such process, method, article or equipment.

[0074] Finally, it should be noted that the above only describes the preferred embodiments of the present application and is not intended to limit the present application. Although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art will appreciate that the technical solutions described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalent ones. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A networked drone airport intelligent dispatching method, characterized by: The method comprises the following steps: S10: The drone airport receives the networked survey mission instruction and determines whether to execute the mission based on the internal and external environment of the drone airport and the drone power. If the mission cannot be executed, step S20 is executed. If the mission can be executed, step S30 is executed. S20. Refuse to execute; S30: The drone management module organizes m drones to go to the target location for surveying based on the optimal route and network topology selected by the intelligent scheduling module. If the drones for the survey have sufficient power, step S50 is executed. If any drone has insufficient power during the survey, step S40 is executed. Where m represents the number of drones currently performing a mission, and m cannot be less than 2. The drone management module is used to store and control drones, and there are always drones stored in the drone management module. The intelligent scheduling module is used to analyze module data information and issue instructions through intelligent scheduling. S40, when drone a is low on battery, drone b is used as a network communication node to send a low-battery message to the intelligent scheduling module. The intelligent scheduling module sends a scheduling instruction to have drone c go to drone b's operating location to replace drone b's work. At the same time, drone b goes to drone a's location to replace drone a's work. When drone b arrives at drone a's location and completes the task handover, drone a returns to the drone airport for charging, and step S50 is executed. Where a represents the outermost drone in the drone topology network; b represents a drone that serves as an intermediate network communication node in the drone topology network; and c represents a drone stored in the drone management module. The distance between drones b and c should remain within the normal communication range during movement. In step S40, the method steps for determining whether the battery of drone a is sufficient are as follows: Based on the location of the survey mission of drone a and the location of the drone airport, the optimal route for drone a to return to the drone airport is planned, and the power A required to return to the drone airport is calculated based on the route and the current power consumption rate; Based on the location information of drone b and drone a, the optimal route from drone b to drone a is planned, and the power consumption B of drone a during the time period from drone b to drone a is calculated based on the route; Set the drone power threshold D; when the drone a's power is greater than the threshold D, the drone has sufficient power; when the drone a's power reaches the threshold D, the drone has insufficient power. Among them, D>A+B; S50: After the operation is completed, the intelligent scheduling module sends a command to let the m drones return to the drone airport via the optimal route.

2. The networked drone airport intelligent scheduling method according to claim 1 is characterized by: If there is no emergency, there are always drones in the drone management module waiting for mission instructions; Among them, emergencies include malfunctions and low battery of drones during outdoor operations.

3. The networked drone airport intelligent dispatching method according to claim 2 is characterized by: When an emergency occurs to a drone operating outside, the intelligent scheduling module can send an emergency command to the drone management module to allow the stored drone to go directly to the location of the faulty drone to replace the operation. At the same time, the network topology is changed through scheduling to control the drone with the lowest power to return to the drone airport for charging.

4. The networked drone airport intelligent dispatching method according to claim 3 is characterized by: In step S30, the peripheral drones in the network topology are responsible for the survey task, and the drones within the topology only serve as network communication nodes.

5. A networked drone airport intelligent dispatching system, applied to the networked drone airport intelligent dispatching method according to any one of claims 1 to 4, characterized in that: The system includes a network communication module, a charging management module, an environmental monitoring module, a data storage module, a drone management module, and an intelligent scheduling module; The network communication module is used to receive and send drone mission execution data; the charging management module is used to monitor drone charging information and safely charge the drone; the environmental monitoring module is used to monitor the internal and external environmental conditions of the drone airport to ensure that the drone can safely perform its mission; the data storage module is used to store video information collected by the drone; the drone management module is used to store and control the drone; and the intelligent scheduling module is used to analyze module data information and issue instructions through intelligent scheduling; The intelligent scheduling module is interconnected with the network communication module; the intelligent scheduling module is interconnected with the charging management module; the intelligent scheduling module is interconnected with the environmental monitoring module; the intelligent scheduling module is interconnected with the data storage module; and the monitoring module is interconnected with the drone management module.

6. The networked drone airport intelligent dispatching system according to claim 5 is characterized by: The charging management module includes a current and voltage monitoring unit and a power detection unit; The current and voltage monitoring unit is used to monitor the current and voltage information of the drone during charging, and send the monitoring data to the intelligent scheduling module; The power detection unit is used to charge the drone, calculate the current power of the drone, and send the current power information to the intelligent scheduling module.

7. The networked drone airport intelligent dispatching system according to claim 5, characterized in that: The environmental monitoring module includes an external environmental monitoring unit and an internal environmental monitoring unit; The external environment monitoring unit is used to monitor the external environment of the drone airport, including temperature, wind speed, visibility, air humidity and air density, and send the monitoring data to the intelligent scheduling module; The internal environment monitoring unit is used to monitor the temperature and humidity inside the drone airport and send the monitoring data to the intelligent scheduling module.

8. The networked drone airport intelligent dispatching system according to claim 5, characterized in that: The drone management module contains N drone storage areas, each of which stores a drone. The drone management module controls the drone by receiving instructions from the intelligent scheduling module and sends the drone storage status to the intelligent scheduling module. Where N represents the number of drone storage areas in the drone management module, and the number of N is not less than 4; each drone is equipped with a mobile ad hoc network communication system and a power detection system. The mobile ad hoc network communication system can form any network topology through wireless connection based on its own location information, and the power detection system is used to detect the remaining power of the drone itself.

9. The networked drone airport intelligent dispatching system according to claim 5, characterized in that: The intelligent scheduling module is used to analyze the data information sent by the network communication module, charging management module, environmental monitoring module and drone management module, perform intelligent scheduling of drones, ensure the safe operation of drones, plan drone operation tasks and routes, and enable drones to collaborate with each other for a long time to complete tasks.

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