Water level precision measurement method, system and equipment applied to water conservancy project

Abstract

The invention relates to the technical field of water level measurement, in particular to a water level precision measurement method, system and equipment applied to a water conservancy project, and the method comprises the steps: obtaining an electromagnetic wave signal emitted to the water surface by a radar water level gauge in real time, recording the electromagnetic wave signal as an emission signal, and obtaining an echo signal received at each measurement moment; water level data, measured by the radar water level gauge through the received echo signals, at each measurement moment are obtained; calculating a signal fluctuation degree and an energy loss ratio of each measurement moment, determining a first evaluation value, a second evaluation value and a water level fluctuation degree of each measurement moment, and obtaining an interference coefficient of each measurement moment; and correcting the water level data based on the water level data and the disturbed coefficients of each measurement moment and a plurality of measurement moments before the measurement moment to obtain the corrected water level data of each measurement moment. The interference influence of the multipath effect, noise and water surface fluctuation on the echo signal can be reduced, and the precision of the radar water level gauge on the water level measurement result is improved.

Description

Technical Field

[0001] This application relates to the technical field of water level measurement, and specifically to a precise water level measurement method, system and equipment applied to water conservancy projects. Background Art

[0002] In the water level measurement of water conservancy projects, the radar water level gauge has the characteristics of non-contact and being unaffected by interference such as air bubbles and sludge in water. Moreover, the radar water level gauge uses electromagnetic wave signals for water level measurement and has a high precision of millimeter level, and is widely used in the water level measurement of places such as rivers, embankments, and reservoirs.

[0003] In Publication No. CN119245773A, noise interference in the water level signal is suppressed by filtering and outlier detection processing of the water level signal measured by the radar water level gauge. This method performs signal processing on the water level signal formed by the water level measurement result of the radar water level gauge to reduce the noise interference in the water level signal. However, the radar water level gauge measures the water level based on the time delay of the echo signal formed by the reflection of the electromagnetic wave signal it emits when encountering the water surface, ignoring the interference effects of multipath effects, noise, and water surface fluctuations on the water level measurement result in the echo signal received by the radar water level gauge, resulting in a relatively low accuracy of the water level measurement result of the radar water level gauge. Summary of the Invention

[0004] In order to solve the above technical problems, a precise water level measurement method, system and equipment applied to water conservancy projects are provided to solve the existing problems.

[0005] The solution of this application to solve the technical problem is to provide a precise water level measurement method, system and equipment applied to water conservancy projects, including the following steps: In the first aspect, an embodiment of this application provides a precise water level measurement method applied to water conservancy projects. This method includes the following steps: Obtain in real time the electromagnetic wave signal emitted by the radar water level gauge to the water surface, denoted as the transmitted signal, and the echo signal received at each measurement moment, and obtain the water level data at each measurement moment measured by the radar water level gauge through the received echo signal; Analyze the fluctuation of the signal amplitude and the discrete situation of the phase in the echo signal at each measurement moment, and calculate the signal fluctuation degree at each measurement moment; Extract the energy spectra of the transmitted signal and the echo signal corresponding to each measurement moment respectively, calculate the energy loss ratio at each measurement moment through the energy difference between the two energy spectra, and combine the signal fluctuation degree to determine the first evaluation value at each measurement moment; Based on the differences between the echo signals corresponding to each measurement moment before and after denoising, a second evaluation value for each measurement moment is obtained; based on the fluctuation of the water level data at different measurement moments within the neighborhood range of each measurement moment, the water level fluctuation degree of each measurement moment is calculated, and by combining the first evaluation value and the second evaluation value, the interference coefficient of each measurement moment is obtained. Based on the water level data and the interference coefficient at each measurement moment and multiple measurement moments before it, the water level data is corrected to obtain the corrected water level data at each measurement moment.

[0006] Preferably, the calculation of the signal fluctuation degree at each measurement moment includes: By constructing a sliding window of a preset size and sliding it over all the signal amplitudes in the echo signal, the dispersion degree of all the signal amplitudes within each sliding window is calculated, denoted as the dispersion degree, and the standard deviation of the dispersion degrees of all the sliding windows is denoted as the amplitude eigenvalue. Extract the phase spectrum of the echo signal corresponding to each measurement moment, and obtain all the peaks and valleys in the phase spectrum. Calculate the mean value between the dispersion degree of the peak values of all the peaks and the dispersion degree of the valley values of all the valleys in the phase spectrum, denoted as the phase eigenvalue. The signal fluctuation degree is the mean value of the amplitude eigenvalue and the phase eigenvalue.

[0007] Preferably, the calculation of the energy loss ratio at each measurement moment includes: Calculate the mean value of all the amplitudes in the energy spectrum of the transmitted signal, denoted as the transmitted energy. Calculate the mean value of all the amplitudes in the energy spectrum of the echo signal corresponding to each measurement moment, denoted as the received energy. Denote the difference between the transmitted energy and the received energy as the lost energy. The energy loss ratio is the ratio of the lost energy to the transmitted energy.

[0008] Preferably, the determination of the first evaluation value at each measurement moment includes: performing a positive mapping on the energy loss ratio, and taking the ratio of the signal fluctuation degree to the result of the positive mapping as the first evaluation value at each measurement moment.

[0009] Preferably, the obtaining of the second evaluation value at each measurement moment includes: Perform denoising processing on the echo signal corresponding to each measurement moment to obtain the denoised echo signal. The second evaluation value is the difference between the echo signal corresponding to each measurement moment and the denoised echo signal.

[0010] Preferably, the water level fluctuation degree is the degree of dispersion of the water level data at each measurement moment and multiple measurement moments in its neighborhood.

[0011] Preferably, the interference coefficient is the normalized result of the product of the first evaluation value, the second evaluation value, and the water level fluctuation degree.

[0012] Preferably, obtaining the corrected water level data for each measurement moment includes: denoting multiple measurement moments before each measurement moment as the historical period; using the interference coefficient as the weight, performing weighted summation on the water level data of all measurement moments within the historical period, and taking it as the corrected water level data for each measurement moment.

[0013] In a second aspect, an embodiment of the present application further provides a water level precision measurement system applied to water conservancy projects. The system includes a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, it implements the steps of the water level precision measurement method applied to water conservancy projects described in any one of the above.

[0014] In a third aspect, an embodiment of the present application further provides a water level precision measurement device applied to water conservancy projects. A computer program is stored in the device, and when the computer program is executed by a processor, it implements the steps of the water level precision measurement method applied to water conservancy projects described in any one of the above.

[0015] The present application has at least the following beneficial effects: This application analyzes the fluctuation and phase change of the echo signal to calculate the signal fluctuation degree at each measurement moment. The beneficial effect is that it preliminarily evaluates the influence of the multipath effect on the echo signal. Furthermore, by analyzing the difference between the energy of the transmitted signal after transmission and the energy of the echo signal when it is received, the energy loss ratio at each measurement moment is calculated. The beneficial effect is that it considers the degree of energy loss caused by the absorption of the signal energy by the water surface, and further evaluates the influence of the multipath effect of obstacles such as the shore, floating objects in the river, and rocks on the echo signal. The first evaluation value at each measurement moment is determined. The beneficial effect is that it comprehensively evaluates the interference effect of the multipath effect on the echo signal at this measurement moment, reflecting the true situation of the water level data calculated by this echo signal. Further, by analyzing the difference between the echo signal before and after denoising, the second evaluation value at each measurement moment is obtained. The beneficial effect is that it considers the noise interference situation of the echo signal and further evaluates the error degree of the water level data at this measurement moment. By analyzing the fluctuation of the water level data at multiple measurement moments within a local range, the water level fluctuation degree at each measurement moment is calculated. The beneficial effect is that it considers the influence of the water surface fluctuation. The interference coefficient at each measurement moment is obtained. The beneficial effect is that by comprehensively evaluating the interference of the multipath effect, noise, and water surface fluctuation, it reflects the error of the water level data calculated by the echo signal at the corresponding measurement moment. Based on the water level data and the interference coefficient at each measurement moment and multiple previous measurement moments, the water level data is corrected to obtain the corrected water level data at each measurement moment. The beneficial effect is that by using the water level data and the interference situation at multiple measurement moments in the historical period to correct the water level at each measurement moment, it can reduce the interference of the multipath effect, noise, and water surface fluctuation on the echo signal, and improve the accuracy of the water level measurement result of the radar water level gauge. Brief Description of the Drawings

[0016] The following further elaborates in detail on the water level precise measurement method applied to water conservancy projects in this application with reference to the accompanying drawings.

[0017] Figure 1 It is the flowchart of the steps of the water level precise measurement method applied to water conservancy projects provided by the embodiments of this application; Figure 2 It is the flowchart of the steps of the method for obtaining the interference coefficient provided by the embodiments of this application. Detailed Embodiments

[0018] In order to make the purpose, technical solutions, and advantages of this application clearer, the following further elaborates in detail on the water level precise measurement method, system, and equipment applied to water conservancy projects proposed in this application with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain this application and are not used to limit this application.

[0019] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field to which this application belongs.

[0020] Please refer to Figure 1 , which shows a flowchart of the steps of a water level precise measurement method applied to a water conservancy project provided by an embodiment of this application. The method includes the following steps: Step 1, obtain in real time the electromagnetic wave signal emitted by the radar water level gauge towards the water surface, denoted as the transmitted signal, and the echo signal received at each measurement moment, and obtain the water level data at each measurement moment measured by the radar water level gauge through the received echo signal.

[0021] Install a radar water level gauge on the bank of the river section to be measured in the water conservancy project facilities. Among them, the radar beam emitted by the radar water level gauge can irradiate the water surface in the river section, and the antenna axis of the radar water level gauge is perpendicular to the water surface. The signal transmitting antenna in the radar water level gauge emits an electromagnetic wave signal with a fixed frequency in real time. After the electromagnetic wave signal is reflected by the water surface, the signal receiving antenna in the radar water level gauge receives the reflected echo signal. The water level data is calculated through the time difference between the signal transmission time and the signal reception time, and the propagation speed of the electromagnetic wave.

[0022] It should be noted that the process of calculating the water level through the echo signal is a well-known technology and will not be elaborated here; secondly, the transmission frequency of the signal transmitting antenna is 50 Hz. As other implementation methods, the implementer can set it according to the actual situation.

[0023] Since the radar water level gauge can emit electromagnetic wave signals in real time, after being reflected by the water surface, an echo signal can be received at different measurement moments, and then the water level data at different measurement moments can be calculated. Therefore, obtain the water level data at each measurement moment and its corresponding echo signal, and denote the electromagnetic wave signal emitted by the signal transmitting antenna as the transmitted signal.

[0024] So far, the water level data at each measurement moment, its corresponding echo signal, and the transmitted signal are obtained.

[0025] Step 2, analyze the fluctuation of the signal amplitude and the discreteness of the phase in the echo signal at each measurement moment, and calculate the signal fluctuation degree at each measurement moment; respectively extract the energy spectra of the transmitted signal and the echo signal corresponding to each measurement moment, calculate the energy loss ratio at each measurement moment through the energy difference between the two energy spectra, and combine the signal fluctuation degree to determine the first evaluation value at each measurement moment.

[0026] When the signal receiving antenna in the radar water level gauge receives the echo signal, due to the influence of multipath effects, noise, and water surface fluctuations, there will be deviations in the measurement of water level data. Therefore, it is necessary to analyze the interference of multipath effects and noise in the echo signal, as well as the changes in water level data caused by water surface fluctuations, in order to reduce the interference effects of multipath effects, noise, and water surface fluctuations on water level measurement on the echo signal.

[0027] First of all, since the electromagnetic wave signal emitted by the radar water level gauge will be affected by obstacles such as the shore, floating objects in the river, and rocks during the propagation process, multiple reflections or scatterings will occur. The echo signals formed by these reflections or scatterings will be received by the radar water level gauge along different paths, causing multipath effects in the echo signal received by the radar water level gauge. The signals received from multiple paths will have different amplitudes and phases. If the signals from multiple paths have the same phase, constructive interference will occur, and if they have opposite phases, destructive interference will occur, resulting in drastic changes in the amplitude and phase of the echo signal.

[0028] Based on the above analysis, by analyzing the amplitude fluctuation and phase change of the echo signal, the signal fluctuation degree is calculated, specifically as follows: By constructing a sliding window of a preset size, sliding all the signal amplitudes in the echo signal corresponding to each measurement moment, calculating the dispersion degree of all the signal amplitudes in each sliding window, denoted as the dispersion degree, and denoting the standard deviation of the dispersion degrees of all the sliding windows as the amplitude eigenvalue; In this embodiment, the length of the sliding window is 10, and the sliding step is 1. For all the signal amplitudes in the echo signal, sliding gradually from the first signal amplitude to the last signal amplitude. As other implementation manners, the implementer can set it according to the actual situation. Secondly, the dispersion degree is measured by calculating the variance of all the signal amplitudes in each sliding window. As other implementation manners, the implementer can adopt other methods in the prior art, such as the standard deviation, coefficient of variation, etc. This embodiment does not make special limitations on this.

[0029] It should be noted that the greater the dispersion degree, the more drastic the fluctuation of the signal amplitudes in the sliding window; the greater the amplitude eigenvalue, the more drastic the change in the echo signal.

[0030] Extract the phase spectrum of the echo signal corresponding to each measurement moment; In this embodiment, the fast Fourier transform is used to extract the phase spectrum. Among them, the fast Fourier transform is a well-known technology and will not be elaborated here. Among them, the abscissa of the phase spectrum represents the frequency component, and the ordinate represents the phase.

[0031] Obtain all the peaks and valleys in the phase spectrum; In this embodiment, a peak-valley second-order difference recognition algorithm is used to obtain peaks and valleys. Among them, the peak-valley second-order difference recognition algorithm is a well-known technology and will not be elaborated here. As other implementation manners, implementers can adopt other methods of the prior art. For example, the AMPD (Automatic multiscale-based peak detection) algorithm, etc. This embodiment does not make special restrictions on this.

[0032] Calculate the mean value between the dispersion degree of the peak values of all peaks and the dispersion degree of the valley values of all valleys in the phase spectrum, and denote it as the phase feature value; In this embodiment, the dispersion degree is measured by the standard deviation. Therefore, calculate the mean value between the standard deviation of the peak values of all peaks and the standard deviation of the valley values of all valleys in the phase spectrum, and denote it as the phase feature value.

[0033] It should be noted that the larger the phase feature value is, the more drastic the change in the signal phase in the echo signal is.

[0034] Take the mean value of the amplitude feature value and the phase feature value as the signal fluctuation degree at each measurement moment.

[0035] It should be noted that the larger the signal fluctuation degree is, the more drastic the changes in the signal amplitude and phase in the echo signal are, and the more likely it is affected by the multipath effect.

[0036] Secondly, since there will be energy loss during the transmission of electromagnetic waves, the degree of energy loss is generally related to the frequency of its transmission carrier, the transmission distance, and the transmission medium. The transmission frequency of the electromagnetic wave emitted by the radar water level gauge is fixed. When the radar water level gauge measures the water level in the measuring section, its position is also fixed, making the transmitted electromagnetic wave have a relatively fixed propagation path, that is, the transmission distance of the transmitted electromagnetic wave is relatively fixed. And the water surface at the section where the radar water level gauge is located generally has stronger absorption characteristics for electromagnetic waves compared to the shore, floating objects in the river, and obstacles such as rocks. Therefore, the electromagnetic wave energy loss of only receiving the echo signal generated by the water surface reflection is more. When there are echoes formed by the reflection or scattering of the shore, floating objects in the river, and obstacles such as rocks in the received echo signal, the echo signal has less electromagnetic wave energy loss, and the degree of influence by the multipath effect is greater.

[0037] Based on the above analysis, analyze the difference between the energy of the transmitted signal and the energy of the echo signal, and evaluate the situation of energy loss. Specifically: Extract the energy spectrum of the transmitted signal and the energy spectrum of the echo signal corresponding to each measurement moment respectively; In this embodiment, the fast Fourier transform is used to extract the energy spectrum. Among them, the fast Fourier transform is a well-known technology and will not be elaborated here.

[0038] Calculate the mean value of all amplitudes in the energy spectrum of the transmitted signal, denoted as the transmitted energy; Calculate the mean value of all amplitudes in the energy spectrum of the echo signal corresponding to each measurement moment, denoted as the received energy; Denote the difference between the transmitted energy and the received energy as the loss energy; Denote the ratio of the loss energy to the transmitted energy as the energy loss ratio; It should be noted that the larger the energy loss ratio, the greater the loss of the electromagnetic wave signal energy emitted by the radar water level gauge during its propagation process, and the relatively more reflected echoes from the water surface are received in the echo signal, and the influence of the multipath effect is relatively small.

[0039] Furthermore, based on the signal fluctuation degree and the energy loss ratio, calculate the first evaluation value, specifically: Perform a positive mapping on the energy loss ratio, and use the ratio of the signal fluctuation degree to the result of the positive mapping as the first evaluation value at each measurement moment; In this embodiment, the specific process of the positive mapping is: perform a positive mapping through an exponential function. Assume that the energy loss ratio is denoted as , then use the result of as the result of the positive mapping, where is the exponential function with the natural constant as the base.

[0040] It should be noted that the smaller the first evaluation value, the smaller the influence of the multipath effect on the echo signal corresponding to this measurement moment, and the closer the water level data calculated through the echo signal corresponding to this measurement moment is to the true value.

[0041] Thus, the first evaluation value at each measurement moment is obtained.

[0042] Step 3, based on the difference situation of the echo signal corresponding to each measurement moment before and after denoising, obtain the second evaluation value at each measurement moment.

[0043] Furthermore, since the water level measurement by the radar water level gauge will be affected by certain noise, resulting in a certain degree of noise being introduced into the echo signal, leading to errors in the water level measurement results. Therefore, analyze the difference situation of the echo signal before and after denoising, and calculate the second evaluation value to reflect the influence of the noise on the echo signal, specifically: Perform denoising processing on the echo signal corresponding to each measurement moment to obtain the denoised echo signal; In this embodiment, a wavelet denoising algorithm is used for denoising. Among them, the wavelet denoising algorithm is a well-known technology and will not be elaborated here. As other implementation manners, implementers can adopt other methods of the prior art. For example, a mean filtering algorithm, a Gaussian filtering algorithm, etc. This embodiment does not make special restrictions on this.

[0044] Calculate the difference between the echo signal corresponding to each measurement moment and the denoised echo signal as the second evaluation value for each measurement moment; In this embodiment, by calculating the reciprocal of the cosine similarity between the echo signal corresponding to each measurement moment and the denoised echo signal as the second evaluation value for each measurement moment. Among them, the calculation of the cosine similarity is a well-known technology and will not be elaborated here. As other implementation manners, implementers can adopt other methods of the prior art. For example, DTW distance, etc. This embodiment does not make special restrictions on this.

[0045] It should be noted that when calculating the reciprocal of the cosine similarity, to avoid the denominator being 0, a preset value greater than 0 is added to the denominator. The value range of the preset value greater than 0 is , in this embodiment, the preset value greater than 0 is taken as 0.01. As other implementation manners, implementers can set it according to the actual situation by themselves.

[0046] It should be noted that the larger the second evaluation value, the greater the degree of influence of the noise on the echo signal, and the greater the error in the water level data at this measurement moment.

[0047] Thus, the second evaluation value for each measurement moment is obtained.

[0048] Step 4: Based on the fluctuation conditions of the water level data at different measurement moments within the neighborhood range of each measurement moment, calculate the water level fluctuation degree of each measurement moment, and combine the first evaluation value and the second evaluation value to obtain the interference coefficient of each measurement moment; based on the water level data and the interference coefficient of each measurement moment and multiple measurement moments before it, correct the water level data to obtain the corrected water level data for each measurement moment.

[0049] Secondly, if the water surface in the river section where the radar water level gauge is located fluctuates, it will cause certain fluctuations in the water level data at different measurement moments. Moreover, the greater the degree of fluctuation of the water level data within a local range, the more inaccurate the water level measurement result and the greater the error. Therefore, by analyzing the fluctuation conditions of the water level data at multiple measurement moments within a local range, calculate the water level fluctuation degree, specifically: Calculate the degree of dispersion of the water level data at each measurement moment and multiple measurement moments within its neighborhood, which is denoted as the water level fluctuation degree; In this embodiment, the degree of dispersion is measured by calculating the standard deviation of the water level data at each measurement time and 10 measurement times in its neighborhood. As other implementation manners, the implementer can adopt other methods in the prior art, such as variance, coefficient of variation, etc. This embodiment does not make special limitations on this.

[0050] It should be noted that for the convenience of understanding, it is assumed that for measurement times, taking measurement times as an example, the 10 measurement times in its neighborhood are respectively , taking measurement times as an example, the 10 measurement times in its neighborhood are respectively .

[0051] It should be noted that the greater the degree of water level fluctuation, it indicates that there are violent fluctuations in the water level data in a local period, and it reflects that the water level measurement result is more affected by the water surface fluctuation.

[0052] Further, based on the first evaluation value, the second evaluation value, and the degree of water level fluctuation, a disturbance coefficient is calculated. Specifically: The normalized result of the product of the first evaluation value, the second evaluation value, and the degree of water level fluctuation among the three is used as the disturbance coefficient at each measurement time; In this embodiment, the sigmoid function is used for normalization processing. Among them, the sigmoid function is a well-known technology and will not be elaborated here. As other implementation manners, the implementer can adopt other methods in the prior art, such as the softmax function, the tanh function, etc. This embodiment does not make special limitations on this.

[0053] It should be noted that the greater the disturbance coefficient, it indicates that the echo signal is more affected by noise, multipath effect, and water surface fluctuation, and the error of the water level data calculated by the echo signal at the corresponding measurement time is greater, and its water level data is less real and the accuracy is lower. Among them, the step flow chart of the method for obtaining the disturbance coefficient provided in the embodiment of this application is as Figure 2 shown.

[0054] Further, the water level data is corrected by the disturbance coefficient at each measurement time. Specifically: Denote multiple measurement times before each measurement time as the historical period; In this embodiment, the duration of the historical period is 1 min. As other implementation manners, the implementer can set it according to the actual situation.

[0055] Using the interference coefficient as the weight, perform a weighted sum of the water level data at all measurement times within the historical period, and use it as the corrected water level data at each measurement time; complete the water level measurement of the water conservancy project.

[0056] The embodiment of the present application also provides a water level precision measurement system applied to a water conservancy project, including a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, it implements the steps of any one of the above-described water level precision measurement methods applied to a water conservancy project.

[0057] Based on the same inventive concept as the above method, the embodiment of the present application also provides a water level precision measurement device applied to a water conservancy project. A computer program is stored in the device, and when the computer program is executed by a processor, it implements the steps of any one of the above-described water level precision measurement methods applied to a water conservancy project.

[0058] It should be understood that although Figure 1 the steps in the flowchart are shown in sequence according to the indication of the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless there is a clear description in this article, the execution of these steps has no strict order limit, and these steps can be executed in other orders. Moreover, Figure 1 at least a part of the steps in

[0059] may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be executed alternately or in turn with at least a part of other steps or sub-steps or stages of other steps.

[0060] The technical features of the above embodiments can be combined arbitrarily. For the sake of concise description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope recorded in this specification.

[0060] The above-described embodiments only represent several implementation manners of the present application. Their descriptions are relatively specific and detailed, but they should not be construed as a limitation to the present application. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present application, several modifications and improvements can still be made. Therefore, any simple modification, equivalent change, and modification made to the above embodiments according to the technical essence of the present application without departing from the content of the technical solution of the present application all belong to the protection scope of the technical solution of the present application.

Claims

1. A precise water level measurement method applied to water conservancy projects, characterized in that, The method includes the following steps: Obtain in real time the electromagnetic wave signal transmitted by the radar water level gauge to the water surface, denoted as the transmitted signal, and the echo signal received at each measurement moment, and obtain the water level data at each measurement moment measured by the radar water level gauge through the received echo signal; Analyze the fluctuation of the signal amplitude and the discrete situation of the phase in the echo signal at each measurement moment, and calculate the signal fluctuation degree at each measurement moment; Extract the energy spectra of the transmitted signal and the echo signal corresponding to each measurement moment respectively, calculate the energy loss ratio at each measurement moment through the difference in energy between the two energy spectra, and combine the signal fluctuation degree to determine the first evaluation value at each measurement moment; Based on the difference between the echo signal corresponding to each measurement moment before and after denoising, obtain the second evaluation value at each measurement moment; based on the fluctuation of the water level data at different measurement moments within the neighborhood range of each measurement moment, calculate the water level fluctuation degree at each measurement moment, and combine the first evaluation value and the second evaluation value to obtain the interference coefficient at each measurement moment; Based on the water level data and the interference coefficient at each measurement moment and multiple measurement moments before it, correct the water level data to obtain the corrected water level data at each measurement moment.

2. The water level precise measurement method applied to water conservancy projects according to claim 1, characterized in that, The calculation of the signal fluctuation degree at each measurement moment includes: By constructing a sliding window with a preset size, slide all the signal amplitudes in the echo signal, calculate the degree of dispersion of all the signal amplitudes within each sliding window, denoted as the dispersion degree, and denote the standard deviation of the dispersion degrees of all the sliding windows as the amplitude eigenvalue; Extract the phase spectrum of the echo signal corresponding to each measurement moment, and obtain all the peaks and valleys in the phase spectrum; Calculate the mean value between the degree of dispersion of the peak values of all the peaks and the degree of dispersion of the valley values of all the valleys in the phase spectrum, denoted as the phase eigenvalue; The signal fluctuation degree is the mean value of the amplitude eigenvalue and the phase eigenvalue.

3. The water level precise measurement method applied to water conservancy projects as described in claim 1, characterized in that, The calculation of the energy loss ratio at each measurement moment includes: Calculate the mean value of all the amplitudes in the energy spectrum of the transmitted signal, denoted as the transmitted energy; Calculate the mean value of all the amplitudes in the energy spectrum of the echo signal corresponding to each measurement moment, denoted as the received energy; Denote the difference between the transmitted energy and the received energy as the loss energy; The energy loss ratio is the ratio of the loss energy to the transmitted energy.

4. The water level precise measurement method applied to water conservancy projects according to claim 1, characterized in that, The determination of the first evaluation value at each measurement moment includes: performing a positive mapping on the energy loss ratio, and taking the ratio of the signal fluctuation degree to the result of the positive mapping as the first evaluation value at each measurement moment.

5. The water level precise measurement method applied to water conservancy projects according to claim 1, characterized in that, The obtaining of the second evaluation value at each measurement moment includes: Perform denoising processing on the echo signal corresponding to each measurement moment to obtain the denoised echo signal; The second evaluation value is the difference between the echo signal corresponding to each measurement moment and the denoised echo signal.

6. The water level precise measurement method applied to water conservancy projects according to claim 1, characterized in that, The water level fluctuation degree is the degree of dispersion of the water level data at each measurement moment and multiple measurement moments within its neighborhood.

7. The water level precise measurement method applied to water conservancy projects as described in claim 1, characterized in that, The interference coefficient is the normalized result of the product of the first evaluation value, the second evaluation value, and the water level fluctuation degree.

8. The water level precise measurement method applied to water conservancy projects according to claim 1, characterized in that Obtaining the corrected water level data at each measurement moment includes: denoting multiple measurement moments before each measurement moment as the historical period; taking the interference coefficient as the weight, and performing weighted summation on the water level data of all measurement moments within the historical period as the corrected water level data at each measurement moment.

9. A precise water level measurement system applied to water conservancy projects, characterized in that, The system includes a memory, a processor, and a computer program stored in the memory and running on the processor, wherein when the processor executes the computer program, it implements the steps of the water level precise measurement method applied to water conservancy projects as described in any one of claims 1-8.

10. A water level precision measurement device applied to water conservancy projects, wherein a computer program is stored in the device, characterized in that, When the computer program is executed by the processor, it implements the steps of the water level precise measurement method applied to water conservancy projects as described in any one of claims 1-8.

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