Scheduling method and system for unmanned aerial vehicle, and unmanned aerial vehicle

1. A method of scheduling an unmnanned aerial vehicle (UAV), comprising the following steps of:

receiving identity characteristic data sent by the UAV;

obtaining a task data table matching the UAV according to the identity characteristic data;

generating a task instruction according to the task data table;

sending the task instruction to the UAV;

transmitting current time flight status date transmitted by the UAV, wherein the current flight status data comprises hardware status data, real-time location data, real-time motion data, real-time attitude data, sensor data, and self-test data;

receiving and storing the current flight status data sent by the UAV;

performing real-time monitoring to the UAV according to the current flight status data;

comparing the current flight status data to a preset data range;

sending an early warning to the UAV when detecting the current flight status data is abnormal;

adjusting operating parameters by the UAV when the current flight status data is abnormal and below a threshold value; and

transmitting adjustment instructions to the UAV when the current flight status data is abnormal and above the threshold value.

2. The method of scheduling the UAV of claim 1 , wherein sending the early warning to the UAV when detecting the current flight status data is abnormal specifically comprises the following steps of:

generating a preset route according to the task data table matching the UAV;

calculating a distance between the UAV and the preset route according to the real-time location data of the UAV; and

sending the early warning to the UAV when the distance is greater than a preset threshold.

3. The method of scheduling the UAV of claim 2 , wherein sending the early warning to the UAV when detecting that the current flight status data is abnormal further comprises the following steps of:

obtaining a preset sensitive area;

determining whether the real-time location of the UAV is within or approaching the sensitive area; and

sending a sensitive area early warning to the UAV if the real-time location of the UAV is within or approaching the sensitive area.

4. The method of scheduling the UAV of claim 3 , wherein sending the early warning to the UAV when detecting the current flight status data is abnormal further comprises the following steps of:

determining that the UAV is in an abnormal take-off status and sending a rejection take-off instruction to the UAV; or else

generating the task instruction according to the task data table matching the UAV and sending the task instruction to the UAV;

wherein the abnormal take-off status comprises one or more of the following: the UAV being in a non-execution task status determined according to the task data table; the UAV being not in a take-off area calculated and determined according to current location data of the UAV; the UAV being in the sensitive area calculated and determined according to the current location data of the UAV; and the self-test data of the UAV being abnormal.

5. The method of scheduling the UAV of claim 1 , wherein the identity characteristic data comprises an identity ID and a current Internet Protocol (IP) address of the UAV, the method further comprises the following steps of:

obtaining a last IP address of the UAV in a preset communication address table according to the identity ID of the UAV, wherein the communication address table records an association relationship between the identity ID and the IP address;

determining that the current IP address is the same as the last IP address and continuing to receive the current IP address sent by the UAV; or else

updating the communication address table.

6. The method of scheduling the UAV of claim 1 , wherein the method further comprises the following steps of:

receiving a control instruction for the UAV sent by a terminal;

determining the identity characteristic data of the UAV according to the control instruction; and

sending the control instruction to the UAV corresponding to the determined identity characteristic data of the UAV.

7. An unmanned aerial vehicle (UAV), comprising:

a flight control module storing an identity ID of the UAV;

a communication module in communication with the flight control module obtaining and storing a current IP address; and

a data collecting module in communication with the flight control module;

wherein the communication module sends the identity ID and the current IP address to a server and receives a task instruction sent by the server and matching the identity ID, wherein the task instruction is generated by the server according to a preset task data table;

wherein the flight control module receives the task instruction transmitted by the communication module and performs a task corresponding to the task instruction;

wherein the data collecting module obtains current flight status data, sends the current flight status data to the server via the communication module, thus enabling the server to perform real-time monitoring to the current flight status, wherein the current flight status data comprises hardware status data, real-time location data, real-time motion data, real-time attitude data, sensor data, and self-test data; the data collecting module comparing the current flight status data to a preset data range and adjusting operating parameters when the current flight status data is abnormal and below a threshold value;

wherein the server transmits adjustment instructions to the UAV when the current flight status data is abnormal and above the threshold value.

8. The UAV of claim 7 , wherein the data collecting module detects the hardware status data, the real-time location data, the real-time motion data, the real-time attitude data, and the sensor data are within a preset normal value range and generates the self-test data according to the detecting result;

the data collecting module prompts the flight status is abnormal when having determined the hardware status data, the real-time location data, the real-time motion data, the real-time attitude data, and the sensor data are not within the preset normal value range.

9. The UAV of claim 8 , wherein the flight control module performs a take-off operation and receives the task instruction sent by the server in real time, and performs the task corresponding to the task instruction when determining, the UAV is in a normal take-off status;

wherein the flight control module receives a rejection take-off instruction sent by the server via the communication module and prompts a user according to the rejection take-off instruction when determining the UAV is in an abnormal take-off status.