Message data communication rate adaptive adjustment method for ecological monitoring

Abstract

The invention relates to the technical field of network data transmission, and provides a message data communication rate adaptive adjustment method for ecological monitoring, which comprises the following steps: acquiring ecological monitoring message data of a ground user receiving end of an unmanned aerial vehicle at different moments; obtaining a preset slice length of the ecological monitoring message data of the unmanned aerial vehicle ground user receiving end, calculating fluctuation characteristics, and calculating a dynamic data change interval length of the ecological monitoring message of the unmanned aerial vehicle ground user receiving end; calculating the dynamic discrete entropy of the ecological monitoring message data of the unmanned aerial vehicle ground user receiving end; and calculating a dynamic expansion coefficient, calculating an adaptive adjustment length and an abnormal congestion index of ecological monitoring message data of a ground user receiving end of the unmanned aerial vehicle, calculating an unmanned aerial vehicle communication rate congestion postponing interval according to the abnormal congestion index, and adjusting the unmanned aerial vehicle communication rate by using the unmanned aerial vehicle communication rate congestion postponing interval. According to the invention, adaptive accurate adjustment of the communication abnormal rate of the ecological monitoring unmanned aerial vehicle is realized.

Description

Technical Field

[0001] This invention relates to the field of network data transmission technology, and more specifically to an adaptive adjustment method for message data communication rate for ecological monitoring. Background Technology

[0002] As the development and utilization of natural resources increase, timely monitoring and management of the natural resource and ecological environment become necessary. However, in the process of natural resource and environmental monitoring, the harsh natural environment and complex terrain make it difficult to obtain ecological monitoring data. Unmanned aerial vehicles (UAVs) are powered aircraft that do not carry human operators. They allow users to reach their destinations and acquire effective data without endangering human safety. UAV payload types mainly include optical remote sensing, lidar remote sensing, microwave remote sensing, and other specialized sensing systems capable of handling complex ecological environments.

[0003] During the process of drone-based ecological monitoring, the natural ecological environment changes are quite complex, and the total amount of drone communication message data is large. In order to obtain drone-based ecological environment monitoring data in a timely manner, it is necessary to dynamically adjust the drone message data communication rate to meet the ecological monitoring communication requirements in complex environments. Summary of the Invention

[0004] This invention provides an adaptive adjustment method for message data communication rate for ecological monitoring, to solve the problem that the traditional LOF algorithm cannot accurately obtain the abnormal status of UAV communication messages during the overall processing of UAV communication messages, resulting in inappropriate message communication transmission rate and data loss. The specific technical solution adopted is as follows: An embodiment of the present invention provides an adaptive adjustment method for message data communication rate in ecological monitoring, the method comprising the following steps: Acquire ecological monitoring message data from the drone ground user receiver at different times; The system obtains the preset slice length of the ecological monitoring message data from the UAV ground user receiver. Based on the preset slice length of the ecological monitoring message data from the UAV ground user receiver at different times, it calculates the fluctuation characteristics. Based on the overall difference and dispersion of the message data at each time, it calculates the length of the dynamic data variation interval of the ecological monitoring message from the UAV ground user receiver. Based on the length of the dynamic data variation interval of the ecological monitoring message from the UAV ground user receiver, it calculates the dynamic discrete entropy of the ecological monitoring message data from the UAV ground user receiver. The dynamic expansion coefficient is calculated based on the fluctuation characteristics and dynamic discrete entropy of the ecological monitoring message data from the UAV ground user receiver. The adaptive adjustment length of the ecological monitoring message data from the UAV ground user receiver is then calculated based on the dynamic expansion coefficient. The abnormal congestion index is calculated based on the adaptive adjustment length of the ecological monitoring message data received by the UAV ground user terminal. The UAV communication rate congestion relief interval is calculated based on the abnormal congestion index, and the UAV communication rate is adjusted using the UAV communication rate congestion relief interval.

[0005] Preferably, the mathematical expression for calculating the fluctuation characteristics based on the preset slice length of the ecological monitoring reports from the UAV ground user receiver at different times is as follows: In the formula, It indicates at time The maximum value of the ecological monitoring message data of the UAV ground user receiver at the preset slice length at the location. It indicates at time The minimum value of ecological monitoring message data from the drone ground user receiver at the preset slice length at the location. This represents an exponential function with the natural constant as its base. It indicates at time The variance of the ecological monitoring message data from the UAV ground user receiver at the preset slice length at the location. It indicates at time The variance of the first half of the data at the preset slice length at the location. It indicates at time The variance of the data in the second half of the preset slice length at the location. Indicates the time Fluctuation characteristics of ecological monitoring message data from UAV ground user receivers at the location slice length.

[0006] Preferably, the specific calculation method for calculating the length of the dynamic data variation interval of the ecological monitoring message at the UAV ground user receiver based on the overall difference and dispersion of the message data at each time moment is as follows: The product of the data range and the coefficient of variation in the preset slice length of the UAV ground user receiver at each time moment is recorded as the first product. The ratio of the first product to the preset slice length is recorded as the length of the variation interval of the ecological monitoring message data of the UAV ground user receiver at each time moment.

[0007] Preferably, the mathematical expression for calculating the dynamic discrete entropy of the ecological monitoring message data from the UAV ground user receiver based on the length of the dynamic data variation interval of the ecological monitoring message from the UAV ground user receiver is as follows: In the formula, It indicates the first The total number of intervals of ecological monitoring message data from the UAV ground receiver at a given time point, with a preset slice length. It indicates that the numbers Logarithmic function with base 0. It indicates the first Frequency of ecological monitoring message data distribution at the UAV ground user receiver at a given time point It indicates the first The dynamic discrete entropy of the ecological monitoring message data from the UAV ground receiver at a preset slice length at a given time point.

[0008] Preferably, the specific calculation method for the distribution frequency of the ecological monitoring message data at the UAV ground user receiver is as follows: The ratio of the number of data points in the dynamic data variation interval at different times to the preset slice length is recorded as the distribution frequency of ecological monitoring message data at the UAV ground user receiver.

[0009] Preferably, the mathematical expression for calculating the dynamic expansion coefficient based on the fluctuation characteristics of the ecological monitoring message data from the UAV ground user receiver and the dynamic discrete entropy is as follows: In the formula, , They respectively represent the first The moment and the The fluctuation characteristics of the ecological monitoring message data received by the UAV ground user terminal at a given time point. , They respectively represent the first The moment and the The dynamic discrete entropy value of the ecological monitoring message data from the UAV ground user receiver at a given time point. This represents the DTW distance between the UAV ground user receiver data at two different locations with preset slice lengths. It indicates the first The dynamic expansion coefficient of the ecological monitoring message data of the UAV ground user receiver at a preset slice length at a given time point.

[0010] Preferably, the specific calculation method for calculating the adaptive adjustment length of the ecological monitoring message data at the UAV ground user receiver based on the dynamic expansion coefficient is as follows: When the dynamic expansion coefficient is greater than or equal to the adjustment threshold, the dynamic expansion coefficient of the ecological monitoring message data from the UAV ground user receiver at each different time point is compared with the digital... The sum of the two values ​​is recorded as the first sum value. The product of the preset slice length and the first sum value is recorded as the second product. The second product is used as the adaptive adjustment length. When the dynamic expansion coefficient is less than the adjustment threshold, the number will be... The difference between the dynamic expansion coefficient of the ecological monitoring message data received by the UAV ground user at each different time point is recorded as the first difference value. The product of the preset slice length and the first difference value is recorded as the third product. The third product is used as the adaptive adjustment length. The average value of the dynamic expansion coefficient of a preset number of different UAV ground user receiver ecological monitoring message data is recorded as the adjustment threshold.

[0011] Preferably, the calculation expression for the abnormal congestion index based on the adaptive adjustment of the length of the ecological monitoring message data from the UAV ground user receiver is as follows: In the formula, This represents the normalization function. It indicates the first The number of abnormal data points in the LOF algorithm output of the UAV ground user terminal ecological monitoring data packets with adaptively adjusted length at each time point. It indicates the first The adaptive adjustment length of the ecological monitoring message data from the UAV ground user terminal at each time point. This indicates the preset slice length. It indicates the first The abnormal congestion index of ecological monitoring message data at the drone ground user receiver at a given time point.

[0012] Preferably, the method for obtaining the adjustment threshold is as follows: The average value of the dynamic expansion coefficient of a preset number of different UAV ground user receiver ecological monitoring message data is recorded as the adjustment threshold.

[0013] Preferably, the method for calculating the UAV communication rate congestion easing interval based on the abnormal congestion index is as follows: The ratio of the distance between the UAV and the ground user receiver at different times to the theoretical transmission rate of the UAV is recorded as the first ratio. The product of the abnormal congestion index and the first ratio is recorded as the UAV communication rate congestion easing interval.

[0014] The beneficial effects of this invention are as follows: By calculating the changes in ecological monitoring message data from UAV ground user receivers, the fluctuation characteristics of the ecological monitoring message data are obtained, thus characterizing the fluctuation characteristics of the values ​​in the ecological monitoring message data. Simultaneously, the dynamic discrete entropy is calculated using the distribution characteristics of abnormal data in the ecological monitoring message data. Furthermore, a dynamic expansion coefficient is obtained through the fluctuation characteristics and the dynamic discrete entropy value, thereby obtaining the adaptive adjustment length of abnormal data in the UAV ecological monitoring message data. The UAV communication rate is adaptively adjusted based on the abnormal data status within the adaptive adjustment length. Compared to calculating the entire message data, this method first more accurately captures the abnormal message data region, and adaptively adjusts the UAV communication rate while ensuring the accuracy of the calculation and adjustment. Attached Figure Description

[0015] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0016] Figure 1 This is a flowchart illustrating an adaptive adjustment method for message data communication rate for ecological monitoring, provided in one embodiment of the present invention. Figure 2 A schematic diagram illustrating the process of adaptively adjusting the length of communication message data for UAV ecological monitoring. Detailed Implementation

[0017] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0018] Please see Figure 1 The diagram illustrates a flowchart of an adaptive adjustment method for message data communication rate for ecological monitoring, provided by an embodiment of the present invention. The method includes the following steps: Step S001: Obtain ecological monitoring message data from the UAV ground user receiver at different times.

[0019] It should be noted that during the process of drone monitoring of the ecological environment, due to the complexity of the natural environment, various obstacles may occur during the drone's flight, hindering data communication between the drone and the ground user. If the drone's communication channel is affected by the natural environment, causing the drone's ground user receiver to be unable to receive the drone's ecological monitoring message data normally, it is necessary to obtain the ecological monitoring message data from the drone's ground user receiver.

[0020] Time The ecological monitoring message data received by the UAV ground user receiver is recorded as ,in They respectively represent the first The moment, the first The moment and the Ecological monitoring message data from the UAV ground user receiver at a given time point; this message data is normalized.

[0021] Step S002: Obtain the preset slice length of the ecological monitoring message data from the UAV ground user receiver; calculate the fluctuation characteristics based on the preset slice length of the ecological monitoring message data from the UAV ground user receiver at different times; calculate the dynamic data variation interval length of the ecological monitoring message from the UAV ground user receiver based on the overall difference and dispersion of the message data at each time; and calculate the dynamic discrete entropy of the ecological monitoring message data from the UAV ground user receiver based on the dynamic data variation interval length of the ecological monitoring message from the UAV ground user receiver.

[0022] It should be noted that during the process of drone-based ecological monitoring, due to changes in weather conditions and the complex and diverse terrain of the ecological environment, there are significant obstacles in the process of drones receiving data from the ground. At this time, the ecological monitoring data received by the drone ground user may show abnormal changes at a certain local time and location. In order to obtain the changes in the ecological monitoring data received by the drone ground user more accurately, it is necessary to perform dynamic slicing.

[0023] In the formula, It indicates at time The maximum value of the ecological monitoring message data of the UAV ground user receiver at the preset slice length at the location. It indicates at time The minimum value of ecological monitoring message data from the drone ground user receiver at the preset slice length at the location. This represents an exponential function with the natural constant as its base. It indicates at time The variance of the ecological monitoring message data from the UAV ground user receiver at the preset slice length at the location. It indicates at time The variance of the first half of the data at the preset slice length at the location. It indicates at time The variance of the data in the second half of the preset slice length at the location. Indicates the time Fluctuation characteristics of ecological monitoring message data from UAV ground user receivers at the location slice length.

[0024] The above formula can be used to calculate the first [item] in the ecological monitoring message data from the UAV ground user receiver. The magnitude of the slice fluctuation characteristics at each time point, where time point... Preset slice length at the location experience points In specific applications, implementers can configure the settings according to specific circumstances. In the ecological monitoring data of the UAV ground user receiver with a preset slice length, significant fluctuations can occur due to environmental factors. In this case, the greater the difference between the maximum and minimum values ​​of the ecological monitoring data within the preset slice length, the more important it is to divide the preset slice length into two equal parts. If the variance variation between the two parts is greater, the calculated time will be affected. The larger the value of the fluctuation characteristics of the slice at time, the higher the value indicates at time. The higher the probability of anomalies in the ecological monitoring data messages from the drone ground user receiving terminal.

[0025] It should be noted that at different times, the data received by the UAV ground user may be abnormal due to interference from the natural ecological environment. The fluctuation characteristics can reflect the numerical change of the ecological monitoring report data of the UAV ground receiver in a good way, but further calculation is still needed to obtain the data distribution in the ecological monitoring report data of the UAV ground receiver.

[0026] Specifically, in order to statistically characterize the status of ecological monitoring data messages from UAV ground user receivers in different preset slice lengths, the length of the dynamic data variation interval of ecological monitoring messages from UAV ground user receivers is first calculated.

[0027] In the formula, It indicates at time The maximum value of the ecological monitoring message data of the UAV ground user receiver at the preset slice length at the location. It indicates at time The minimum value of ecological monitoring message data from the drone ground user receiver at the preset slice length at the location. This indicates the preset slice length. It indicates at time Standard deviation of ecological monitoring message data from the UAV ground user receiver at the location. It indicates at time The average value of ecological monitoring message data from the UAV ground user receiver at the location. It indicates at time The length of the dynamic data variation range of the ecological monitoring message from the UAV ground user receiver at the preset slice length at the location.

[0028] The above formula can be used to calculate the length of the dynamic variation interval of the ecological monitoring message data at different times. Since the changes in data at the UAV ground user receiver can vary significantly at different times, if the time... The large range of ecological monitoring data from UAV ground user receivers within the preset slice length at a given location, coupled with a relatively high coefficient of variation, indicates a highly dispersed distribution of ecological monitoring data within the preset slice length at the corresponding time point. Consequently, the range of dynamic data variation in the ecological monitoring data at that time point will also be relatively large. This allows for a better reflection of the changes in the ecological monitoring data from the UAV ground user receivers.

[0029] By utilizing the dynamic variation interval length of the ecological monitoring message data from the UAV ground user receiver at different times, the preset slice length can be divided into multiple different numerical intervals. The length of each interval is the dynamic data variation interval length. Within each different interval, the numerical distribution of the ecological monitoring message data from the UAV ground user receiver can be statistically analyzed.

[0030] In the above formula, It indicates that in the first At time 1, the ecological monitoring report data from the drone ground user receiver is... The number of data points in a dynamically changing interval of length. This indicates the preset slice length. It indicates the first The total number of intervals of ecological monitoring message data from the UAV ground user receiver at a given time point, representing a preset slice length. It indicates that the numbers Logarithmic function with base 0. It indicates the first Frequency of ecological monitoring message data distribution at the UAV ground user receiver at a given time point It indicates the first The dynamic discrete entropy of the ecological monitoring message data from the UAV ground user receiver at a preset slice length at a given time point.

[0031] If time The distribution of ecological monitoring data from the UAV ground receiver varies significantly within the preset slice length. The data is relatively discrete across different intervals, resulting in a relatively low frequency of distribution across these intervals. Consequently, the calculated frequency of the ecological monitoring data from the UAV ground receiver within these intervals is also relatively low. The dynamic discrete entropy value of the ecological monitoring message data from the UAV ground user receiver at time point 1 will be relatively small; conversely, when the value of the dynamic discrete entropy value of the ecological monitoring message data from the UAV ground user receiver at time point 2 will be relatively small. When the numerical distribution of ecological monitoring message data from the UAV ground user receiver is relatively concentrated at a given time point, the calculated dynamic discrete entropy value will be relatively large.

[0032] Step S003: Calculate the dynamic expansion coefficient based on the fluctuation characteristics and dynamic discrete entropy of the ecological monitoring message data from the UAV ground user receiver, and calculate the adaptive adjustment length of the ecological monitoring message data from the UAV ground user receiver based on the dynamic expansion coefficient.

[0033] It should be noted that for ecological monitoring data packets from UAV ground user receivers at different times, if the data at a certain moment is affected by the natural environment, causing the values ​​to become abnormal, the calculated slice fluctuation characteristic values ​​of the data from the UAV ground user receiver within a preset slice length will also be relatively large. However, when the UAV ground user receiver experiences reception obstacles leading to congestion during data reception, the data from the UAV ground user receiver within the preset slice length may not show significant changes at a specific moment. Therefore, further analysis is needed by combining the changes in UAV ground user receiver data at adjacent preset slice lengths.

[0034] In the above formula, , They respectively represent the first The moment and the The fluctuation characteristics of the ecological monitoring message data received by the UAV ground user terminal at a given time point. , They respectively represent the first The moment and the The dynamic discrete entropy value of the ecological monitoring message data from the UAV ground user receiver at a given time point. This represents the DTW distance between the UAV ground user receiver data at two different locations with preset slice lengths. It indicates the first The dynamic expansion coefficient of the ecological monitoring message data of the UAV ground user receiver at a preset slice length at a given time point.

[0035] The dynamic expansion coefficient of the UAV ground user receiver's ecological monitoring report data at different times can be calculated using the above formula. The smaller the difference in fluctuation characteristics and dynamic discrete entropy values ​​at different preset slice lengths in the calculated UAV ground user receiver's ecological monitoring report data at different times, and the smaller the DTW distance between two different data sequences, the more similar the numerical magnitude and distribution of the UAV ground user receiver's ecological monitoring report data at two different preset slice lengths are. In this case, the calculated... The dynamic expansion coefficient of the monitoring message data from the UAV ground user receiver at any given time should be relatively large.

[0036] It should be noted that if the ecological monitoring data from the UAV ground user receiver is significantly affected by the natural environment, resulting in large errors, a fixed-length ecological monitoring data message from the UAV ground user receiver cannot accurately reflect the changes in the ecological monitoring data. Therefore, if... Figure 2 As shown, in order to obtain the changes in the ecological monitoring message data of the UAV ground user receiver, it is necessary to calculate the dynamic expansion coefficient of the ecological monitoring message data of the UAV ground user receiver.

[0037] In the above formula, This indicates the preset slice length. It indicates the first The dynamic expansion coefficient of the ecological monitoring message data from the UAV ground user receiver at a given time. It indicates the first The adjustment threshold for the ecological monitoring message data from the drone ground user receiver at a given time. It indicates the first The adaptive adjustment length of the ecological monitoring message data from the UAV ground user receiver at each moment.

[0038] For the The ecological monitoring message data from the UAV ground user receiver at each moment is first based on the first... Centering on the ecological monitoring data from the UAV ground user receiver at a preset slice length at a given time point, five consecutive ecological monitoring data points of different preset slice lengths are acquired. The average value of the dynamic expansion coefficient of these five consecutive ecological monitoring data points of different preset slice lengths is calculated, and this average value is denoted as the _th_ ... The adjustment threshold for the ecological monitoring message data from the UAV ground user receiver at each moment. If the... The dynamic expansion coefficient of the UAV ground user receiver's ecological monitoring message data at the preset slice length at time point is greater than the average of the dynamic expansion coefficients of multiple different adjacent slices, indicating that at the corresponding time point ... At a certain time point, the ecological monitoring data from the UAV ground user receiver is severely affected by environmental interference. In order to obtain the complete state of the ecological monitoring data fragment from the UAV ground user receiver, it is necessary to expand the preset slice length to an adaptively adjustable length; conversely, the preset slice length should be adaptively shrunk.

[0039] Step S004: Calculate the abnormal congestion index based on the adaptive adjustment length of the ecological monitoring message data from the UAV ground user receiver, calculate the UAV communication rate congestion easing interval based on the abnormal congestion index, and adjust the UAV communication rate using the UAV communication rate congestion easing interval.

[0040] For the ecological monitoring data obtained from the UAV ground user receiver at different times, an adaptively adjusted length for the corresponding UAV ground user receiver ecological monitoring data can be obtained. The UAV ground user receiver ecological monitoring data packets with adaptively adjusted lengths at each different time point are used as input to the LOF (Local Outlier Factor) algorithm to obtain abnormal data in the UAV ground user receiver ecological monitoring data packets at each different time point. The specific calculation process of the LOF algorithm is a well-known technique and will not be elaborated here.

[0041] In the above formula, This represents the normalization function. It indicates the first The number of abnormal data points in the ecological monitoring data packets of the UAV ground user receiver with adaptively adjusted length at each time point, as output by the LOF algorithm. It indicates the first The adaptive adjustment length of the ecological monitoring message data at the UAV ground user receiver at each time point. This indicates the preset slice length. It indicates the first The abnormal congestion index of ecological monitoring message data at the drone ground user receiver at a given time point.

[0042] For the ecological monitoring data from the UAV ground user receiver at different times, the corresponding abnormal congestion index of the ecological monitoring data can be calculated. If the number of abnormal data points in the ecological monitoring data from the UAV ground user receiver at the corresponding time is greater, and the adaptive adjustment length is also longer, then the calculated index of the [number of abnormal data points] will be higher. The higher the value of the abnormal congestion index of the ecological monitoring message data at the drone ground user receiver at a given time point, the better.

[0043] In the above formula, It indicates the first The magnitude of the abnormal congestion index of the ecological monitoring message data at the drone ground user receiver at a given time point. It indicates the first The distance between the drone and the ground user receiver at a given time. This indicates the theoretical transmission rate of the drone. It indicates the first The drone communication rate congestion slowdown interval at each moment.

[0044] If the current time When the ground-based drone receiver experiences severe data anomalies in the ecological monitoring reports, it's necessary to pause data transmission and extend the congestion buffer interval to prevent the drone's data from being received. The more severe the congestion at the ground-based drone receiver, the larger the congestion buffer interval will be. By adjusting the congestion buffer interval at different times during the drone's ecological monitoring communication process, the communication rate can be adaptively adjusted to ensure the correct and complete reception of the ecological monitoring data.

[0045] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. A method for adaptive adjustment of message data communication rate for ecological monitoring, characterized in that, The method includes the following steps: Acquire ecological monitoring message data from the drone ground user receiver at different times; The system obtains the preset slice length of the ecological monitoring message data from the UAV ground user receiver. Based on the preset slice length of the ecological monitoring message data from the UAV ground user receiver at different times, it calculates the fluctuation characteristics. Based on the overall difference and dispersion of the message data at each time, it calculates the length of the dynamic data variation interval of the ecological monitoring message from the UAV ground user receiver. Based on the length of the dynamic data variation interval of the ecological monitoring message from the UAV ground user receiver, it calculates the dynamic discrete entropy of the ecological monitoring message data from the UAV ground user receiver. The dynamic expansion coefficient is calculated based on the fluctuation characteristics and dynamic discrete entropy of the ecological monitoring message data from the UAV ground user receiver. The adaptive adjustment length of the ecological monitoring message data from the UAV ground user receiver is then calculated based on the dynamic expansion coefficient. The abnormal congestion index is calculated based on the adaptive adjustment length of the ecological monitoring message data received by the UAV ground user terminal. The UAV communication rate congestion relief interval is calculated based on the abnormal congestion index, and the UAV communication rate is adjusted using the UAV communication rate congestion relief interval.

2. The adaptive adjustment method for message data communication rate for ecological monitoring according to claim 1, characterized in that, The mathematical expression for calculating the fluctuation characteristics based on the preset slice length of the ecological monitoring reports from the UAV ground user receiver at different times is as follows: In the formula, It indicates at time The maximum value of the ecological monitoring message data of the UAV ground user receiver at the preset slice length at the location. It indicates at time The minimum value of ecological monitoring message data from the drone ground user receiver at the preset slice length at the location. This represents an exponential function with the natural constant as its base. It indicates at time The variance of the ecological monitoring message data from the UAV ground user receiver at the preset slice length at the location. It indicates at time The variance of the first half of the data at the preset slice length at the location. It indicates at time The variance of the data in the second half of the preset slice length at the location. Indicates the time Fluctuation characteristics of ecological monitoring message data from UAV ground user receivers at the location slice length.

3. The adaptive adjustment method for message data communication rate for ecological monitoring according to claim 2, characterized in that, The specific calculation method for calculating the length of the dynamic data variation interval of the ecological monitoring message from the UAV ground user receiver based on the overall difference and dispersion of the message data at each time moment is as follows: The product of the data range and the coefficient of variation in the preset slice length of the UAV ground user receiver at each time moment is recorded as the first product. The ratio of the first product to the preset slice length is recorded as the length of the variation interval of the ecological monitoring message data of the UAV ground user receiver at each time moment.

4. The adaptive adjustment method for message data communication rate for ecological monitoring according to claim 3, characterized in that, The mathematical expression for calculating the dynamic discrete entropy of the ecological monitoring message data from the UAV ground user receiver based on the length of the dynamic data variation interval of the ecological monitoring message from the UAV ground user receiver is as follows: In the formula, It indicates the first The total number of intervals of ecological monitoring message data from the UAV ground receiver at a given time point, with a preset slice length. It indicates that the numbers Logarithmic function with base 0. It indicates the first Frequency of ecological monitoring message data distribution at the UAV ground user receiver at a given time point It indicates the first Dynamic discrete entropy of ecological monitoring message data from UAV ground receivers at a preset slice length at a given time point; The ratio of the number of data points in the dynamic data variation interval at different times to the preset slice length is recorded as the distribution frequency of ecological monitoring message data at the UAV ground user receiver.

5. The adaptive adjustment method for message data communication rate for ecological monitoring according to claim 4, characterized in that, The mathematical expression for calculating the dynamic expansion coefficient based on the fluctuation characteristics and dynamic discrete entropy of the ecological monitoring message data received by the UAV ground user terminal is as follows: In the formula, , They respectively represent the first The moment and the The fluctuation characteristics of the ecological monitoring message data received by the UAV ground user terminal at a given time point. , They respectively represent the first The moment and the The dynamic discrete entropy value of the ecological monitoring message data from the UAV ground user receiver at a given time point. This represents the DTW distance between the UAV ground user receiver data at two different locations with preset slice lengths. It indicates the first The dynamic expansion coefficient of the ecological monitoring message data of the UAV ground user receiver at a preset slice length at a given time point.

6. The adaptive adjustment method for message data communication rate for ecological monitoring according to claim 5, characterized in that, The specific calculation method for the adaptive adjustment length of the ecological monitoring message data at the UAV ground user receiver based on the dynamic expansion coefficient is as follows: When the dynamic expansion coefficient is greater than or equal to the adjustment threshold, the dynamic expansion coefficient of the ecological monitoring message data from the UAV ground user receiver at each different time point is compared with the digital... The sum of the two values ​​is recorded as the first sum value. The product of the preset slice length and the first sum value is recorded as the second product. The second product is used as the adaptive adjustment length. When the dynamic expansion coefficient is less than the adjustment threshold, the number will be... The difference between the dynamic expansion coefficient of the ecological monitoring message data received by the UAV ground user at each different time point is recorded as the first difference value. The product of the preset slice length and the first difference value is recorded as the third product. The third product is used as the adaptive adjustment length. The average value of the dynamic expansion coefficient of a preset number of different UAV ground user receiver ecological monitoring message data is recorded as the adjustment threshold.

7. The adaptive adjustment method for message data communication rate for ecological monitoring according to claim 5, characterized in that, The formula for calculating the abnormal congestion index based on the adaptive length adjustment of the ecological monitoring message data from the UAV ground user receiver is as follows: In the formula, This represents the normalization function. It indicates the first The number of abnormal data points in the LOF algorithm output of the UAV ground user terminal ecological monitoring data packets with adaptively adjusted length at each time point. It indicates the first The adaptive adjustment length of the ecological monitoring message data from the UAV ground user terminal at each time point. This indicates the preset slice length. It indicates the first The abnormal congestion index of ecological monitoring message data at the drone ground user receiver at a given time point.

8. The adaptive adjustment method for message data communication rate for ecological monitoring according to claim 7, characterized in that, The method for calculating the congestion easing interval of UAV communication rate based on the abnormal congestion index is as follows: The ratio of the distance between the UAV and the ground user receiver at different times to the theoretical transmission rate of the UAV is recorded as the first ratio. The product of the abnormal congestion index and the first ratio is recorded as the UAV communication rate congestion easing interval.

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