A UAV data monitoring system and method

Abstract

The present application discloses a drone data monitoring system and method, which relates to the field of monitoring and analysis technology, and includes a control module for receiving a connection signal output by a drone; a data acquisition module for real-time acquisition of flight data and environmental data of the drone; a communication module for transmitting the flight data and environmental data of the drone to an integrated management platform; the integrated management platform includes a data receiving unit, a data analysis unit and a data storage unit, the data receiving unit is used to receive the flight data and environmental data of the drone transmitted by the communication module, the data analysis unit is used to analyze the flight data and environmental data of the drone, and the data storage unit is used to store the flight data and environmental data of the drone; an early warning module is used to warn the drone according to the analysis results of the data analysis unit; and a display module is used to display the parameters of the drone. The present application has the effect of reducing the occurrence of certain property losses caused by accidents during the flight operation of the drone.

Description

Technical Field

[0001] The present application relates to the field of monitoring and analysis technology, and in particular to a drone data monitoring system and method. Background Art

[0002] With the rapid development of drone technology, drones are widely used in many fields such as agriculture, surveying and mapping, security inspections, etc. In these applications, real-time monitoring of data collected by drones becomes particularly important to ensure the accuracy of the data and the safe operation of drones.

[0003] In the related technologies, the monitoring of drones is carried out by staff, but when the drones are in flight, it is impossible to detect the drones in real time based on the flight information, which causes some drones with abnormal conditions to have accidents during flight operations, resulting in certain property losses. This improvement needs to be made. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present application provides a drone data monitoring system and method.

[0005] In the first aspect, the present application provides a drone data monitoring system, which adopts the following technical solutions:

[0006] A drone data monitoring system, comprising:

[0007] A control module, used to receive a connection signal output by the drone and connect with the drone signal;

[0008] Data acquisition module, used to collect UAV flight data and environmental data in real time;

[0009] A communication module, connected to the data acquisition module, for transmitting the UAV flight data and environmental data collected by the data acquisition module to the integrated management platform;

[0010] The integrated management platform is connected to the communication module and includes a data receiving unit, a data analysis unit and a data storage unit. The data receiving unit is used to receive the UAV flight data and environmental data transmitted by the communication module. The data analysis unit is used to analyze the UAV flight data and environmental data. The data storage unit is used to store the UAV flight data and environmental data.

[0011] An early warning module, connected to the data analysis unit, is used to issue an early warning to the UAV according to the analysis result of the data analysis unit;

[0012] Display module, used to display the parameters of the drone.

[0013] By adopting the above technical solution, the flight data and environmental data of the UAV are collected in real time through the data acquisition module, and the flight data and environmental data of the UAV are transmitted to the integrated management platform. The integrated management platform analyzes the flight data and environmental data of the UAV and confirms the analysis results, and then issues early warning to the UAV based on the analysis results, thereby effectively reducing the occurrence of certain property losses caused by accidents during UAV flight operations.

[0014] Preferably, the control module includes a signal receiving unit, an identification unit and a connection determination unit;

[0015] The signal receiving unit is used to receive the connection signal output by the drone;

[0016] The identification unit is used to identify the drone information connected to the signal receiving unit, wherein the drone information includes the name of the drone and the serial number corresponding to the drone;

[0017] The connection determination unit is used to determine the drone information.

[0018] Preferably, the data acquisition module includes a speed detection unit, an angular motion detection unit, a GPS unit, an environment detection unit and a camera device;

[0019] The speed detection unit is used to detect the speed data and vibration data of the drone;

[0020] The angular motion detection unit is used to detect the rotation speed and attitude change data of the drone;

[0021] The GPS unit is used to locate the position information of the drone in real time;

[0022] The environment detection unit is used to detect the temperature, humidity and air pressure values ​​corresponding to the environment around the drone;

[0023] The camera device is used to obtain real-time image data corresponding to the surroundings of the drone.

[0024] Preferably, the UAV flight data and environmental data are analyzed, specifically including:

[0025] Within a preset time window, the position information of the drone is located in real time according to the GPS unit, and then the actual position change curve S(t) corresponding to the drone is confirmed;

[0026] Within a preset time window, based on the speed detection unit, a speed data variation curve V(t) and a vibration data variation curve Z(t) of the drone are obtained;

[0027] Then, by calculating the formula The operating condition coefficient α corresponding to the UAV is obtained, where s(t) represents the preset standard position change curve corresponding to the UAV, v(t) represents the preset standard speed data change curve over time, and k represents the environmental impact coefficient;

[0028] Compare the operating condition coefficient α corresponding to the UAV with the preset operating condition threshold interval [α1, α2];

[0029] If α∈(0,α1), it means the drone is normal;

[0030] If α∈[α1,α2], further judgment is required;

[0031] If α∈(α2, +∞), it means that there is an abnormality in the drone.

[0032] Preferably, the further determination process specifically includes:

[0033] In a preset time window, a rotation speed variation curve X(t) of the drone is obtained based on the angular motion detection unit, and a pitch angle value JDi corresponding to the drone within the time Δt is obtained based on the attitude change data;

[0034] By calculating the formula The safety assessment value β corresponding to the drone is obtained, where i represents the total number of seconds corresponding to the Δt time, and i∈(1,j), JDi represents the pitch angle value corresponding to the i-th second, and JD i0 It is represented as the preset standard pitch angle value corresponding to the i-th second, and β1 and β2 are weight coefficients;

[0035] Compare the safety assessment value β corresponding to the drone with the preset safety assessment threshold β′;

[0036] If β<β′, it means that the drone is abnormal, otherwise, it means that the drone is normal.

[0037] Preferably, the drone is warned according to the analysis result of the data analysis unit, specifically including:

[0038] If it is determined that the drone is abnormal, a first alarm signal is output;

[0039] If it is determined that the drone needs further judgment, a second warning signal is output;

[0040] If the drone is determined to be normal, there is no need to output an alarm signal, wherein the alarm level of the first alarm signal is greater than that of the second alarm signal.

[0041] Preferably, the display module includes a battery power display unit, a GPS display unit, and a visual system status display unit;

[0042] The battery power display unit is used to display the remaining power and flight time of the drone battery in real time, and output a battery warning signal when the remaining power of the drone battery is lower than a preset power threshold;

[0043] The GPS display unit is used to display the strength of the GPS signal;

[0044] The visual system status display unit is used to display whether the visual system is working normally.

[0045] In the second aspect, the present application provides a drone data monitoring method, which adopts the following technical solution:

[0046] A method for monitoring drone data includes the following steps:

[0047] Receive a connection signal output by the drone and connect with the drone signal;

[0048] Collect UAV flight data and environmental data in real time;

[0049] Transmitting the UAV flight data and environmental data collected by the data collection module to the integrated management platform;

[0050] The integrated management platform includes a data receiving unit, a data analyzing unit and a data storage unit, wherein the data receiving unit is used to receive the UAV flight data and environmental data transmitted by the communication module, the data analyzing unit is used to analyze the UAV flight data and environmental data, and the data storage unit is used to store the UAV flight data and environmental data;

[0051] Prompt early warning of the drone based on the analysis results of the data analysis unit;

[0052] Display the drone parameters.

[0053] In summary, the present application includes at least one of the following beneficial technical effects:

[0054] 1. The present invention provides a drone data monitoring system, which collects the flight data and environmental data of the drone in real time through a data acquisition module, and transmits the flight data and environmental data of the drone to an integrated management platform, which analyzes the flight data and environmental data of the drone and confirms the analysis results, and then issues an early warning to the drone based on the analysis results, thereby effectively reducing the occurrence of certain property losses caused by accidents during drone flight operations;

[0055] 2. By analyzing the UAV flight data and environmental data, the corresponding operating condition coefficient of the UAV is confirmed, and the corresponding operating condition coefficient of the UAV is compared with the preset operating condition threshold range to further confirm the abnormal situation of the UAV. For those that need further judgment, the corresponding safety assessment value of the UAV is further obtained, and then the abnormal situation of the UAV is further judged based on the safety assessment value, thereby effectively reducing the occurrence of accidents during UAV flight operations that cause certain property losses. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] Figure 1 It is a system schematic diagram of drone data monitoring according to an embodiment of the present application.

[0057] Figure 2 It is a flow chart of the method for drone data monitoring in an embodiment of the present application. DETAILED DESCRIPTION

[0058] The following is combined with Figure 1-2 This application is described in further detail.

[0059] Example 1

[0060] The embodiment of the present application discloses a drone data monitoring system.

[0061] Reference Figure 1 , a drone data monitoring system, comprising:

[0062] A control module, used to receive a connection signal output by the drone and connect with the drone signal;

[0063] Data acquisition module, used to collect UAV flight data and environmental data in real time;

[0064] A communication module, connected to the data acquisition module, for transmitting the UAV flight data and environmental data collected by the data acquisition module to the integrated management platform;

[0065] The integrated management platform is connected to the communication module and includes a data receiving unit, a data analysis unit and a data storage unit. The data receiving unit is used to receive the UAV flight data and environmental data transmitted by the communication module. The data analysis unit is used to analyze the UAV flight data and environmental data. The data storage unit is used to store the UAV flight data and environmental data.

[0066] An early warning module, connected to the data analysis unit, is used to issue an early warning to the UAV according to the analysis result of the data analysis unit;

[0067] Display module, used to display the parameters of the drone.

[0068] Through the above technical solution, the flight data and environmental data of the UAV are collected in real time through the data acquisition module, and the flight data and environmental data of the UAV are transmitted to the integrated management platform. The integrated management platform analyzes the flight data and environmental data of the UAV and confirms the analysis results, and then issues early warning to the UAV based on the analysis results, thereby effectively reducing the occurrence of certain property losses caused by accidents during UAV flight operations.

[0069] It should be noted that the control module includes a signal receiving unit, an identification unit and a connection determination unit;

[0070] The signal receiving unit is used to receive the connection signal output by the drone;

[0071] The identification unit is used to identify the drone information connected to the signal receiving unit, wherein the drone information includes the name of the drone and the serial number corresponding to the drone;

[0072] The connection determination unit is used to determine the drone information.

[0073] Specifically, when the control module receives the connection signal output by the drone, it further determines the drone name and the serial number corresponding to the drone. If the drone name and the serial number corresponding to the drone are consistent, it means that the drone is connected successfully and the next step can be performed.

[0074] Further, the data acquisition module includes a speed detection unit, an angular motion detection unit, a GPS unit, an environment detection unit and a camera device;

[0075] The speed detection unit is used to detect the speed data and vibration data of the drone;

[0076] The angular motion detection unit is used to detect the rotation speed and attitude change data of the drone;

[0077] The GPS unit is used to locate the position information of the drone in real time;

[0078] The environment detection unit is used to detect the temperature, humidity and air pressure values ​​corresponding to the environment around the drone;

[0079] The camera device is used to obtain real-time image data corresponding to the surroundings of the drone.

[0080] Specifically, the camera device can collect real-time image data corresponding to the surroundings of the drone, wherein the photo mode, photo format, video size and format can be set.

[0081] It should be noted that the analysis of drone flight data and environmental data includes:

[0082] Within a preset time window, the position information of the drone is located in real time according to the GPS unit, and then the actual position change curve S(t) corresponding to the drone is confirmed;

[0083] Within a preset time window, based on the speed detection unit, a speed data variation curve V(t) and a vibration data variation curve Z(t) of the drone are obtained;

[0084] Then, by calculating the formula The operating condition coefficient α corresponding to the UAV is obtained, where s(t) represents the preset standard position change curve corresponding to the UAV, v(t) represents the preset standard speed data change curve over time, and k represents the environmental impact coefficient;

[0085] Compare the operating condition coefficient α corresponding to the UAV with the preset operating condition threshold interval [α1, α2];

[0086] If α∈(0,α1), it means the drone is normal;

[0087] If α∈[α1,α2], further judgment is required;

[0088] If α∈(α2, +∞), it means that there is an abnormality in the drone.

[0089] Through the above technical solution, when the actual position change of the drone is greatly different from the preset flight trajectory, and the greater the vibration change of the drone during flight, the worse the operating condition of the drone is. Therefore, within the preset time window, the position information of the drone is located in real time according to the GPS unit, and then the actual position change curve S(t) corresponding to the drone is confirmed; within the preset time window, the speed data change curve V(t) of the drone and the vibration data change curve Z(t) of the drone are obtained based on the speed detection unit, and according to the calculation formula The operating status coefficient corresponding to the UAV is obtained, and then the operating status coefficient α corresponding to the UAV is compared with the preset operating status threshold interval [α1, α2]. If α∈(0, α1), it means that the UAV is in good operating condition, indicating that the UAV is normal. When α∈(α2, +∞), it means that the UAV is abnormal. When α∈[α1, α2], it means that the UAV may be abnormal and needs further judgment. Through such operations, the flight status of the UAV during the flight can be clearly understood, so as to effectively monitor the UAV, thereby effectively reducing the occurrence of accidents during the flight operation of the UAV and causing certain property losses.

[0090] Further, the process of further judgment includes:

[0091] In a preset time window, a rotation speed variation curve X(t) of the drone is obtained based on the angular motion detection unit, and a pitch angle value JDi corresponding to the drone within the time Δt is obtained based on the attitude change data;

[0092] By calculating the formula The safety assessment value β corresponding to the drone is obtained, where i represents the total number of seconds corresponding to the Δt time, and i∈(1,j), JDi represents the pitch angle value corresponding to the i-th second, and JD i0 It is represented as the preset standard pitch angle value corresponding to the i-th second, and β1 and β2 are weight coefficients;

[0093] Compare the safety assessment value β corresponding to the drone with the preset safety assessment threshold β′;

[0094] If β<β′, it means that the drone is abnormal, otherwise, it means that the drone is normal.

[0095] Through the above technical solution, when α∈[α1,α2], it means that the drone may be abnormal. If further judgment is required, the rotation speed of the drone over time curve X(t) is obtained based on the angular motion detection unit within the preset time window, and the pitch angle value JDi corresponding to the drone within the Δt time is obtained based on the attitude change data; then, the calculation formula is used to calculate The safety assessment value β corresponding to the UAV is obtained, and the safety assessment value β corresponding to the UAV is confirmed by the relationship between the UAV wing rotation speed and the flight speed and the change of the pitch angle, wherein the relationship between the UAV wing rotation speed and the flight speed is preset through machine learning, and then the safety assessment value β corresponding to the UAV is compared with the preset safety assessment threshold β′; if β<β′, it means that the UAV is abnormal, otherwise, it means that the UAV is normal. Through such operations, it is confirmed whether the UAV itself is abnormal, and the potential abnormality of the UAV equipment is judged, thereby effectively reducing the occurrence of accidents during UAV flight operations that cause certain property losses.

[0096] It should be noted that the early warning of the drone based on the analysis results of the data analysis unit includes:

[0097] If it is determined that the drone is abnormal, a first alarm signal is output;

[0098] If it is determined that the drone needs further judgment, a second warning signal is output;

[0099] If the drone is determined to be normal, there is no need to output an alarm signal, wherein the alarm level of the first alarm signal is greater than that of the second alarm signal.

[0100] Further, the display module includes a battery power display unit, a GPS display unit, and a visual system status display unit;

[0101] The battery power display unit is used to display the remaining power and flight time of the drone battery in real time, and output a battery warning signal when the remaining power of the drone battery is lower than a preset power threshold;

[0102] Specifically, different color intervals are displayed on the battery power progress bar, and different color intervals represent different power states. When the power is lower than the preset power threshold, the battery icon turns red, reminding the drone to land as soon as possible and replace the battery.

[0103] The GPS display unit is used to display the strength of the GPS signal;

[0104] The visual system status display unit is used to display whether the visual system is working normally.

[0105] Specifically, in the visual system status display unit, when the icon is displayed in green, it means that the visual system in the current direction is effective. If the icon is displayed in red, it means that the visual system is unavailable. At this time, the drone has no obstacle avoidance function and needs to fly with caution.

[0106] It also includes a remote control link signal quality display unit, which is used to display the quality of the remote control signal between the control module and the drone. The control module icon flashes during the flight, indicating that the system detects that the remote control signal is interfered with.

[0107] Example 2

[0108] The embodiment of the present application also discloses a drone data monitoring method.

[0109] Reference Figure 2 , a drone data monitoring method, comprising the following steps:

[0110] Receive a connection signal output by the drone and connect with the drone signal;

[0111] Collect UAV flight data and environmental data in real time;

[0112] Transmitting the UAV flight data and environmental data collected by the data collection module to the integrated management platform;

[0113] The integrated management platform includes a data receiving unit, a data analyzing unit and a data storage unit, wherein the data receiving unit is used to receive the UAV flight data and environmental data transmitted by the communication module, the data analyzing unit is used to analyze the UAV flight data and environmental data, and the data storage unit is used to store the UAV flight data and environmental data;

[0114] Prompt early warning of the drone based on the analysis results of the data analysis unit;

[0115] Display the drone parameters.

[0116] The above contents are merely examples and explanations of the concept of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

[0117] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0118] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A drone data monitoring system, characterized in that: include: A control module, used to receive a connection signal output by the drone and connect with the drone signal; Data acquisition module, used to collect UAV flight data and environmental data in real time; The data acquisition module includes a speed detection unit, an angular motion detection unit, a GPS unit, an environment detection unit and a camera device; The speed detection unit is used to detect the speed data and vibration data of the drone; The angular motion detection unit is used to detect the rotation speed and attitude change data of the drone; The GPS unit is used to locate the position information of the drone in real time; The environment detection unit is used to detect the temperature, humidity and air pressure values ​​corresponding to the environment around the drone; The camera device is used to obtain real-time image data corresponding to the surroundings of the drone; A communication module, connected to the data acquisition module, for transmitting the UAV flight data and environmental data collected by the data acquisition module to the integrated management platform; The integrated management platform is connected to the communication module and includes a data receiving unit, a data analysis unit and a data storage unit. The data receiving unit is used to receive the UAV flight data and environmental data transmitted by the communication module. The data analysis unit is used to analyze the UAV flight data and environmental data. The data storage unit is used to store the UAV flight data and environmental data. Analyze the UAV flight data and environmental data, including: Within the preset time window, the GPS unit locates the position information of the drone in real time, and then confirms the actual position change curve corresponding to the drone. ; Within the preset time window, the speed data of the drone is obtained based on the speed detection unit. , and the curve of vibration data changing with time ; Then, by calculating the formula , and the corresponding operating condition coefficient of the UAV is obtained ,in, It is represented by the preset standard position change curve corresponding to the UAV. It is represented by the preset standard speed data changing with time curve. It is expressed as the environmental impact coefficient; The operating condition coefficient corresponding to the UAV The preset operating threshold interval Make a comparison; like When the UAV is normal; like When , further judgment is required; like If the UAV is abnormal, An early warning module, connected to the data analysis unit, is used to issue an early warning to the UAV according to the analysis result of the data analysis unit; Display module, used to display the parameters of the drone.

2. The drone data monitoring system according to claim 1, characterized in that: The control module includes a signal receiving unit, an identification unit and a connection determination unit; The signal receiving unit is used to receive the connection signal output by the drone; The identification unit is used to identify the drone information connected to the signal receiving unit, wherein the drone information includes the name of the drone and the serial number corresponding to the drone; The connection determination unit is used to determine the drone information.

3. The drone data monitoring system according to claim 2, characterized in that: The drone is warned based on the analysis results of the data analysis unit, including: If it is determined that the drone is abnormal, a first alarm signal is output; If it is determined that the drone needs further judgment, a second warning signal is output; If the drone is determined to be normal, there is no need to output an alarm signal, wherein the alarm level of the first alarm signal is greater than that of the second alarm signal.

4. The drone data monitoring system according to claim 3, characterized in that: The display module includes a battery power display unit, a GPS display unit, and a visual system status display unit; The battery power display unit is used to display the remaining power and flight time of the drone battery in real time, and output a battery warning signal when the remaining power of the drone battery is lower than a preset power threshold; The GPS display unit is used to display the strength of the GPS signal; The visual system status display unit is used to display whether the visual system is working normally.

5. A drone data monitoring method, applied to a drone data monitoring system according to any one of claims 1 to 4, characterized in that: The following steps are involved: Receive a connection signal output by the drone and connect with the drone signal; Collect UAV flight data and environmental data in real time; Transmitting the UAV flight data and environmental data collected by the data collection module to the integrated management platform; The integrated management platform includes a data receiving unit, a data analyzing unit and a data storage unit, wherein the data receiving unit is used to receive the UAV flight data and environmental data transmitted by the communication module, the data analyzing unit is used to analyze the UAV flight data and environmental data, and the data storage unit is used to store the UAV flight data and environmental data; Prompt early warning of the drone based on the analysis results of the data analysis unit; Display the drone parameters.

Images