Unmanned aerial vehicle operation performance comprehensive detection system based on data analysis

Abstract

The invention discloses an unmanned aerial vehicle operation performance comprehensive detection system based on data analysis, relates to the technical field of unmanned aerial vehicle performance detection, and solves the technical problems that in the prior art, a corresponding curve cannot be constructed in combination with endurance analysis during power testing, and multi-type performance detection cannot be performed through the curve. The system comprises a virtual simulation module and a physical actual measurement module, the virtual simulation module and the physical actual measurement module are used for carrying out data detection analysis on the body performance of the unmanned aerial vehicle, deducing whether linkage of relevance components of the unmanned aerial vehicle is normal or not, and after it is determined that matched linkage is qualified, the physical actual measurement module carries out work stress actual measurement operation on the relevance components; and the dynamic test analysis module and the endurance synchronization analysis module perform data intercommunication comparison analysis when the dynamic test analysis module and the endurance synchronization analysis module operate synchronously, and deduce whether the dynamic performance of the current unmanned aerial vehicle meets the actual demand or not through the dynamic test.

Description

Technical Field

[0001] The present invention relates to the technical field of UAV performance detection, and particularly to a comprehensive detection system for UAV operation performance based on data analysis. Background Technique

[0002] The comprehensive detection system for UAV operation performance is an intelligent system that integrates multi-dimensional technical means to comprehensively evaluate the core indicators of UAVs, such as flight stability, power system, navigation accuracy, and environmental adaptability.

[0003] However, in the prior art, when a UAV is operating, it is unable to combine virtual simulation technology with physical measurement technology, and it is unable to infer the linkage analysis efficiency of each component inside the UAV based on data analysis, resulting in a decrease in the accuracy of subsequent power tests. In addition, during power tests, it is unable to construct corresponding curves in combination with endurance analysis, and it is unable to perform multi-type performance detection through the curves, reducing the comprehensiveness of operation performance detection.

[0004] In view of the above technical defects, a solution is proposed. Summary of the Invention

[0005] The purpose of the present invention is to solve the above-mentioned problems, and to propose a comprehensive detection system for UAV operation performance based on data analysis.

[0006] The purpose of the present invention can be achieved by the following technical solutions:

[0007] A comprehensive detection system for UAV operation performance based on data analysis includes a comprehensive detection platform, and the comprehensive detection platform is communicatively connected to a data aggregation center, and the data aggregation center includes:

[0008] A virtual simulation module and a physical measurement module, the virtual simulation module and the physical measurement module are used to detect and analyze the data of the UAV's airframe performance, infer whether the linkage of the associated components of the UAV is normal, and after determining that the cooperative linkage is qualified, the physical measurement module conducts a supply physical measurement operation on the associated components;

[0009] A power test analysis module and an endurance synchronization analysis module, when the power test analysis module and the endurance synchronization analysis module are running synchronously, they conduct data intercommunication and comparison analysis, and infer whether the dynamic performance of the current UAV meets the actual requirements through the power test.

[0010] As a preferred embodiment of the present invention, the process of the virtual simulation module is as follows:

[0011] According to the real-time detection of the UAV assembly, the UAV is divided into several single components, such as components like power supply, frame, propeller, etc. And according to the cooperation operation process of each component of the UAV, correlation analysis is carried out on each single component, and they are divided into correlated components and uncorrelated components; A virtual simulation environment is constructed, that is, each single component of the UAV is operated alone. When the correlated components are operating, after a single component runs, the corresponding correlated component receives the output of the corresponding component and runs synchronously.

[0012] As a preferred implementation manner of the present invention, when a single component of the UAV in the virtual simulation environment is executing, and the current moment is marked as the starting operation moment. At the starting operation moment, the operation parameters of the correlated components fluctuate, and the operation parameters of the uncorrelated components have no fluctuation. Then it is inferred that the cooperation and linkage of the correlated components of the UAV components are normal, and the uncorrelated components have no cooperation and linkage interference, and the cooperation and linkage of the UAV under the virtual simulation environment meet the actual requirements; At the starting operation moment, if the operation parameters of the correlated components do not fluctuate, or the operation parameters of the uncorrelated components have no fluctuation, then it is inferred that the cooperation and linkage of the correlated components of the UAV components are abnormal, or the uncorrelated components have cooperation and linkage interference, and the cooperation and linkage of the UAV under the virtual simulation environment do not meet the actual requirements, and detection and adjustment are carried out according to the connection relationship of each component of the UAV.

[0013] As a preferred implementation manner of the present invention, the process of the physical measurement module is as follows:

[0014] Set the real-time operation parameter simulation input value range of a single component, and the simulation input value range is within the rated operation parameter range of the corresponding single component. Obtain the output value according to the input value of the single component. For example, the power supply generates electricity when it operates. And after the correlated component receives the output value, obtain the non-intersection span of the actual output range and the rated operation range of the corresponding correlated component;

[0015] If the non-intersection span exceeds the maximum value of the set non-intersection span threshold range, and the actual output range is much lower than the rated operation range, then it is inferred that the operation efficiency does not meet the rated operation performance;

[0016] If the non-intersection span does not exceed the minimum value of the set non-intersection span threshold range, and the actual output range is much higher than the rated operation range, then it is inferred that the operation load does not meet the rated operation performance;

[0017] If the non-intersection span is within the set non-intersection span threshold range, then it is inferred that the operation is satisfied.

[0018] As a preferred implementation manner of the present invention, the process of data intercommunication comparison and analysis is as follows:

[0019] Set the operating space of the drone, and the drone conducts operating tests within the current operating space. The power test analysis module records the power parameters during the drone's operation phase and sets the actual flight speed of the drone as the power manifestation parameter; the endurance synchronization analysis module records the endurance parameters during the drone's operation phase and sets the internal power of the power supply as the endurance manifestation parameter; set the output power of the power supply as the abscissa, and set the power manifestation parameter and the endurance manifestation parameter as the left ordinate and the right ordinate respectively; collect parameters during the drone's operation test phase and substitute them into the coordinate system to construct the power manifestation curve and the endurance manifestation curve; and divide them into two types: hindering operation and assisting operation according to the operating wind force value at each recorded moment.

[0020] As a preferred embodiment of the present invention, when the power manifestation curve is in the two stages of hindering operation and assisting operation, collect the vertical floating span and the horizontal offset span of the power manifestation curve in the corresponding stage. It should be noted that the vertical floating span and the horizontal offset span corresponding to the power manifestation curve can obtain the span values through the ordinate and abscissa of the corresponding coordinate system of the curve respectively; if any of the span values of the vertical floating span and the horizontal offset span corresponding to the power manifestation curve in the corresponding stage exceeds the corresponding set span threshold, it is inferred that the power test of the drone is abnormal, and the relevant components involved in the power supply inside the drone are monitored for operation, and the power of the drone is debugged;

[0021] If none of the span values of the vertical floating span and the horizontal offset span corresponding to the power manifestation curve in the corresponding stage exceeds the corresponding set span threshold, it is inferred that the power test of the drone is normal.

[0022] As a preferred embodiment of the present invention, when the endurance manifestation curve is in the two stages of hindering operation and assisting operation, collect the deviation of the power consumption speed between adjacent stages. At the same time, continuously collect the increasing span of the deviation of the power consumption speed between adjacent stages as they alternate. If the deviation of the power consumption speed between adjacent stages exceeds the deviation threshold of the power consumption speed, or the increasing span of the deviation of the power consumption speed exceeds the deviation increasing span threshold, it is inferred that the endurance analysis of the drone is abnormal, and the internal power loss of the power supply and the operation consumption of the relevant components are monitored and the power consumption is debugged; if the deviation of the power consumption speed between adjacent stages does not exceed the deviation threshold of the power consumption speed, and the increasing span of the deviation of the power consumption speed does not exceed the deviation increasing span threshold, it is inferred that the endurance analysis of the drone is normal.

[0023] Compared with the prior art, the beneficial effects of the present invention are:

[0024] 1. In the present invention, the virtual simulation technology is used to reduce the site and space requirements for the operation experiment of the unmanned aerial vehicle (UAV), and it can also detect the operation performance of each component of the UAV. At the same time, combined with physical measurement, it can be synchronously compared to infer whether the current comprehensive operation performance of the UAV meets the requirements, improve the detection efficiency of the UAV, ensure that the operation performance test of the UAV will not be affected by the failure of its own components, reduce the accuracy of the test, and affect the use efficiency of the UAV.

[0025] 2. In the present invention, during synchronous operation, data intercommunication and comparison analysis are carried out. Through dynamic testing, it is inferred whether the current dynamic performance of the UAV meets the actual requirements, and it can also be synchronously analyzed in combination with the actual endurance to infer whether there are fluctuations in the real-time operation performance of the UAV under different flight states, so as to improve the comprehensive detection efficiency of the UAV, more comprehensively detect the operation performance of the UAV, and conduct targeted rectification and maintenance on the operation performance defects or abnormal fluctuations in real time. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] For the convenience of those skilled in the art to understand, the present invention will be further described below with reference to the accompanying drawings.

[0027] Figure 1 is the principle block diagram of Embodiment 1 of the present invention;

[0028] Figure 2 is the principle block diagram of Embodiment 2 of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0029] In order to enable those skilled in the art to better understand the solution of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0030] The mention of "embodiment" in this article means that the specific features, structures or characteristics described in connection with the embodiment may be included in at least one embodiment of the present invention. The phrase appears in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. Those skilled in the art will explicitly and implicitly understand that the embodiments described herein can be combined with other embodiments.

[0031] Embodiment 1

[0032] Please refer to Figure 1As shown, a comprehensive detection system for UAV operation performance based on data analysis includes a comprehensive detection platform, wherein the comprehensive detection platform is communicatively connected to a data aggregation center and performs UAV performance detection through the data collected by the data aggregation center;

[0033] The data aggregation center includes a virtual simulation module and a physical measurement module. The virtual simulation module and the physical measurement module are used to perform data detection and analysis on the performance of the drone. The virtual simulation technology reduces the site and space requirements for drone operation experiments. It can also detect the performance of various drone components. At the same time, combined with physical measurements, it can be compared synchronously to infer whether the current drone's comprehensive performance meets the requirements, thereby improving the efficiency of drone detection and ensuring that the drone's performance test will not be affected by the failure of its own components, which will reduce the accuracy of the test and affect the efficiency of the drone.

[0034] Based on the real-time detection of the drone assembly, the drone is divided into several single components, such as power supply, frame, propeller and other components, and the correlation analysis of each single component is carried out according to the coordinated operation process of each component of the drone. That is, when the current single component is running, the real-time operating parameters increase, and the real-time operating parameters of another single component also increase. In this case, the current single component is marked as a correlated component, otherwise it is marked as a non-correlated component. The correlated components are represented by the power supply and the propeller. When the power supply is supplied and the real-time supply energy increases, the rotation speed of the propeller is generated and continuously increased;

[0035] Constructing a virtual simulation environment, that is, running each single component of the UAV individually. When the dependent components are running, the corresponding dependent components receive the output of the corresponding components and run synchronously. However, the UAV components do not cooperate with each other, that is, no flight test is performed.

[0036] When a single component of a drone is executed in a virtual simulation environment, the current moment is marked as the starting running moment. If the operating parameters of the associated components fluctuate at the starting running moment, and the operating parameters of the non-associated components do not fluctuate, it is inferred that the coordination and linkage of the associated components of the drone are normal, and there is no coordination and linkage interference between the non-associated components. The coordination and linkage of the drone in the virtual simulation environment meets actual needs.

[0037] If the operating parameters of the associated components do not fluctuate at the start of operation, or the operating parameters of the non-associated components do not fluctuate, it is inferred that the coordination and linkage of the associated components of the drone are abnormal, or there is coordination and linkage interference between the non-associated components, and the coordination and linkage of the drone in the virtual simulation environment does not meet the actual requirements, and detection and adjustment are performed based on the connection relationship between the various components of the drone;

[0038] After confirming that the coordination and linkage are qualified, the physical measurement module will conduct a supply test operation on the related components. At this time, the virtual simulation environment will be released, and the various components of the drone will operate in coordination with each other.

[0039] A range of simulated input values for real-time operating parameters of a single component is set, and the range of simulated input values is within the rated operating parameter range of the corresponding single component. An output value is obtained based on the input value of the single component, such as the amount of electricity generated by the operation of the power supply. After the associated component receives the output value, a non-intersection span between the actual output range and the rated operating range of the corresponding associated component is obtained. If the range non-intersection span exceeds the maximum value of the set non-intersection span threshold range, and the actual output range is far below the rated operating range, it is inferred that the operating efficiency of the associated component does not meet the rated operating performance when driven by the operation of the single component. If the range non-intersection span does not exceed the minimum value of the set non-intersection span threshold range, and the actual output range is far above the rated operating range, it is inferred that the operating load of the associated component does not meet the rated operating performance when driven by the operation of the single component.

[0040] In this application, "far below" means that the current range is 0.7 times lower than another range; "far above" means that the current range is 1.5 times higher than another range;

[0041] If the range non-intersection span is within the set non-intersection span threshold range, it is inferred that the operation of the associated components is satisfied when driven by the operation of a single component; the operating parameter ranges of each single component are sent to the data aggregation center for recording and storage, and the operating parameters are compared when the UAV is continuously running, which is used for the floating detection standard of the UAV's operating performance;

[0042] After confirming that the drone's body performance test is qualified, the drone's dynamic performance test is carried out;

[0043] like Figure 1 As shown, the data aggregation center also includes a power test analysis module and a flight endurance synchronization analysis module, and the power test analysis module and the flight endurance synchronization analysis module are communicatively connected, that is, data intercommunication comparison and analysis are performed during synchronous operation. The power test can be used to infer whether the dynamic performance of the current UAV meets the actual requirements. It can also be combined with the actual flight endurance synchronization analysis to infer whether the real-time operating performance of the UAV under different flight states fluctuates, so as to improve the comprehensive detection efficiency of the UAV, more comprehensively detect the operating performance of the UAV, and carry out targeted rectification and maintenance of operating performance defects or abnormal fluctuations in real time.

[0044] Set the operating space of the drone, and the drone conducts operating tests within the current operating space. The power test analysis module records the power parameters during the drone's operation phase and sets the actual flight speed of the drone as the power manifestation parameter; the endurance synchronization analysis module records the endurance parameters during the drone's operation phase and sets the internal power of the power supply as the endurance manifestation parameter; set the output power of the power supply as the abscissa, and set the power manifestation parameter and the endurance manifestation parameter as the left ordinate and the right ordinate respectively;

[0045] Collect parameters during the drone's operating test phase and substitute them into the coordinate system to construct the power manifestation curve and the endurance manifestation curve; and divide them into two types: hindering operation and assisting operation according to the operating wind force value at each recorded moment;

[0046] When the power manifestation curve is in the two stages of hindering operation and assisting operation, collect the vertical floating span and the horizontal offset span of the power manifestation curve in the corresponding stage. It should be noted that the vertical floating span and the horizontal offset span corresponding to the power manifestation curve can obtain the span values through the ordinate and abscissa of the curve corresponding coordinate system respectively; if any of the span values of the vertical floating span and the horizontal offset span corresponding to the power manifestation curve in the corresponding stage exceeds the corresponding set span threshold, it is inferred that the power test of the drone is abnormal, and monitor the operation of the related components involved in the power supply in the drone and debug the power of the drone;

[0047] If any of the span values of the vertical floating span and the horizontal offset span corresponding to the power manifestation curve in the corresponding stage does not exceed the corresponding set span threshold, it is inferred that the power test of the drone is normal;

[0048] When the endurance manifestation curve is in the two stages of hindering operation and assisting operation, collect the deviation of the power consumption speed of the corresponding battery between adjacent stages. At the same time, continuously collect the increasing span of the deviation of the power consumption speed of the corresponding battery with the continuous alternation of adjacent stages. If the deviation of the power consumption speed of the corresponding battery between adjacent stages exceeds the deviation threshold of the power consumption speed, or the increasing span of the deviation of the power consumption speed exceeds the deviation increasing span threshold, it is inferred that the endurance analysis of the drone is abnormal, and monitor the internal power loss of the power supply and the operation consumption of the related components and debug the power consumption;

[0049] If the deviation of the power consumption speed of the corresponding battery between adjacent stages does not exceed the deviation threshold of the power consumption speed, and the increasing span of the deviation of the power consumption speed does not exceed the deviation increasing span threshold, it is inferred that the endurance analysis of the drone is normal;

[0050] Embodiment 2

[0051] Based on the previous embodiment, when both the power test analysis and endurance synchronization analysis of the UAV are normal, synchronize the collected data during the UAV operation test phase. According to the power manifestation curve, collect the UAV during the power increase phase, and based on the power increase phase, obtain the span of the increase in the power consumption rate corresponding to the endurance manifestation curve. At the same time, when the power increase phase ends and returns to the set power, in the current phase, obtain the corresponding numerical deviation of the power consumption rate according to the endurance manifestation curve from the power consumption rate during the power increase phase; if the span of the increase in the power consumption rate continues to increase, it is inferred that the power supply of the current UAV is mismatched, and the power manifestation parameters, corresponding power, and power parameters are sent to the data aggregation center together. The data aggregation center re-sets the range of the UAV power manifestation parameters; if the corresponding numerical deviation of the power consumption rate does not decrease compared to before the power increase phase, it is inferred that the endurance performance of the UAV is mismatched, and the endurance manifestation parameters and the corresponding power floating phase are sent to the data aggregation center together. After receiving, the data aggregation center performs hardware adjustment and replacement on the UAV and debugs the endurance performance;

[0052] Embodiment III

[0053] Please refer to Figure 2 As shown, the data aggregation center further includes a flight process monitoring unit. The flight process monitoring is used to monitor the UAV flight in real time to infer whether there are any operation deviations during the current UAV operation process, so as to perform execution detection on the UAV flight trajectory and ensure the execution detection efficiency of the UAV;

[0054] Continuously monitor the flight process of the UAV, set a starting point and an ending point according to the flight route. After determining the starting point and the ending point, set the preset trajectory of the current flight according to the flight route, collect the points where the preset trajectory and the actual trajectory deviate during the UAV flight process, and mark them as deviation points. Record the moment when the deviation points generate deviations, and collect the external interference factors at the deviation points corresponding to the deviation moments, such as air flow fluctuations or obstacle hindrances; if there are external interference factors, collect the corresponding interval distance between the deviation points and the starting point of restoring the preset trajectory. If the corresponding interval distance exceeds the interval distance threshold, it is inferred that the flight perception performance of the UAV does not meet the current flight environment, and the dynamic perception performance of the UAV is adjusted, such as increasing the number of radars or expanding the radar detection range; if there are no external interference factors, it is inferred that the flight memory performance of the UAV is abnormal, and the linkage of each single component of the UAV is re-detected and maintained.

[0055] When the present invention is in use, there are a virtual simulation module and a physical measurement module. The virtual simulation module and the physical measurement module are used to detect and analyze data on the airframe performance of the drone, infer whether the linkage of the related components of the drone is normal. After determining that the coordinated linkage is qualified, the physical measurement module conducts an industrial measurement operation on the related components; there are also a power test analysis module and an endurance synchronization analysis module. When the power test analysis module and the endurance synchronization analysis module operate synchronously, they conduct data intercommunication and comparison analysis, and infer whether the dynamic performance of the current drone meets the actual requirements through the power test.

[0056] The preferred embodiments of the present invention disclosed above are only used to help illustrate the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only the specific implementation manners. Obviously, many modifications and changes can be made according to the content of this specification. These embodiments are selected and specifically described in this specification to better explain the principle and practical application of the present invention, so that those skilled in the relevant technical field can well understand and utilize the present invention. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. An integrated detection system for the operating performance of drones based on data analysis, characterized in that It includes a comprehensive detection platform, and the comprehensive detection platform is communicatively connected to a data aggregation center, where the data aggregation center includes: A virtual simulation module and a physical measurement module. The virtual simulation module and the physical measurement module are used to detect and analyze data on the airframe performance of the drone, infer whether the linkage of the associated components of the drone is normal. After determining that the cooperative linkage is qualified, the physical measurement module conducts a supply and actual operation on the associated components; A power test analysis module and an endurance synchronization analysis module. When the power test analysis module and the endurance synchronization analysis module operate synchronously, they conduct data intercommunication and comparison analysis to infer whether the dynamic performance of the current drone meets the actual requirements through the power test.

2. The comprehensive detection system for the operating performance of an unmanned aerial vehicle based on data analysis according to claim 1, wherein, The process of the virtual simulation module is as follows: Based on the real-time detection of the drone assembly, the drone is divided into several single components, and the associated analysis is carried out on each single component according to the cooperation operation process of each component of the drone, and they are divided into associated components and non-associated components; a virtual simulation environment is constructed, that is, each single component of the drone is operated individually. When the associated components operate, after a single component operates, the corresponding associated component receives the output of the corresponding component and operates synchronously.

3. The comprehensive detection system for the operating performance of an unmanned aerial vehicle based on data analysis according to claim 2, characterized in that, When a single component of the drone in the virtual simulation environment executes, and the current moment is marked as the starting operation moment. If the operation parameters of the associated components fluctuate at the starting operation moment, and the operation parameters of the non-associated components do not fluctuate, it is inferred that the cooperative linkage of the associated components of the drone is normal, and there is no cooperative linkage interference from the non-associated components, and the cooperative linkage of the drone under the virtual simulation environment meets the actual requirements; if the operation parameters of the associated components do not fluctuate at the starting operation moment, or the operation parameters of the non-associated components fluctuate, it is inferred that the cooperative linkage of the associated components of the drone is abnormal, or there is cooperative linkage interference from the non-associated components, and the cooperative linkage of the drone under the virtual simulation environment does not meet the actual requirements, and the detection and adjustment are carried out according to the connection relationship of each component of the drone.

4. The integrated detection system for the operating performance of an unmanned aerial vehicle based on data analysis according to claim 3, wherein The process of the physical measurement module is as follows: Set the real-time operation parameter simulation input value range of a single component, and the simulation input value range is within the rated operation parameter range of the corresponding single component. Obtain the output value according to the input value of the single component, such as the power generation when the power supply operates. After the associated component receives the output value, obtain the non-intersection span between the actual output range and the rated operation range of the corresponding associated component; If the non-intersection span exceeds the maximum value of the set non-intersection span threshold range, and the actual output range is much lower than the rated operation range, it is inferred that the operation efficiency does not meet the rated operation performance; If the non-intersection span does not exceed the minimum value of the set non-intersection span threshold range, and the actual output range is much higher than the rated operation range, it is inferred that the operation load does not meet the rated operation performance; If the non-intersection span is within the set non-intersection span threshold range, it is inferred that the operation is satisfied.

5. The integrated detection system for the operating performance of an unmanned aerial vehicle based on data analysis according to claim 1, wherein, The process of data intercommunication and comparison analysis is as follows: Set the operation space of the drone, and the drone conducts operation tests in the current operation space. The power test analysis module records the power parameters during the operation stage of the drone, and sets the actual flight speed of the drone as the power performance parameter; The endurance synchronization analysis module records the endurance parameters during the operation of the drone, and sets the internal power of the power supply as the endurance manifestation parameter; sets the output power of the power supply as the abscissa, and sets the power manifestation parameter and the endurance manifestation parameter as the left ordinate and the right ordinate respectively; collects parameters during the operation test stage of the drone, and substitutes them into the coordinate system to construct the power manifestation curve and the endurance manifestation curve; and divides them into two types: obstructed operation and assisted operation according to the operating wind force value at each recorded moment.

6. The comprehensive detection system for the operating performance of an unmanned aerial vehicle based on data analysis according to claim 5, characterized in that, When the power manifestation curve is in the two stages of obstructed operation and assisted operation, collect the up and down floating span of the power manifestation curve and the corresponding horizontal offset span of the power manifestation curve within the corresponding stage; if any span value of the up and down floating span of the power manifestation curve and the corresponding horizontal offset span of the power manifestation curve within the corresponding stage exceeds the corresponding set span threshold, it is inferred that the power test of the drone is abnormal, and monitor the operation of the related components involved in the power supply in the drone, and debug the power of the drone; If any span value of the up and down floating span of the power manifestation curve and the corresponding horizontal offset span of the power manifestation curve within the corresponding stage does not exceed the corresponding set span threshold, it is inferred that the power test of the drone is normal.

7. An integrated detection system for the operating performance of an unmanned aerial vehicle based on data analysis according to claim 6, characterized in that, When the endurance manifestation curve is in the two stages of obstructed operation and assisted operation, collect the deviation of the power consumption speed between adjacent stages. At the same time, continuously collect the increasing span of the deviation of the power consumption speed between adjacent stages as they alternate. If the deviation of the power consumption speed between adjacent stages exceeds the deviation threshold of the power consumption speed, or the increasing span of the deviation of the power consumption speed exceeds the deviation increasing span threshold, it is inferred that the endurance analysis of the drone is abnormal, and monitor the internal power loss of the power supply and the operation consumption of the related components and debug the power consumption; if the deviation of the power consumption speed between adjacent stages does not exceed the deviation threshold of the power consumption speed, and the increasing span of the deviation of the power consumption speed does not exceed the deviation increasing span threshold, it is inferred that the endurance analysis of the drone is normal.

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