A River Acoustic Tomography Signal Control Method Resistant to Channel Fading

Abstract

This invention discloses a river acoustic tomography signal control method to resist channel fading. It controls and adjusts the transmission and reception of acoustic signals in terms of time, sequence, type, and intensity, and performs intelligent evaluation and screening of signal quality to ensure signal stability and improve measurement accuracy. The method includes the following steps: (1) Each acoustic tomography station sends mutually orthogonal acoustic signals and staggers the transmission time of each acoustic tomography station; (2) Measure the length of multiple acoustic measurement lines between multiple acoustic tomography stations on both sides of the river and calculate the acoustic wave propagation time on the corresponding acoustic measurement lines; (3) Each acoustic tomography station takes turns transmitting and receiving acoustic signals according to the control signal; the above acoustic signal transmission and reception process is performed cyclically with three signal transmission power levels: weak, medium, and strong; (4) The receiving end of the acoustic tomography system performs automatic gain control based on the received acoustic signal data; (5) The acoustic signal data is intelligently evaluated and screened.

Description

Technical Field

[0001] This invention belongs to the field of intelligent processing of river flow monitoring data, and particularly relates to a method for controlling river acoustic tomography signals to resist channel fading. Background Technology

[0002] River acoustic tomography is a novel river measurement technique with advantages such as ease of installation and minimal impact from river surface conditions. Acoustic tomography calculates river flow velocity based on the characteristic that sound waves travel faster downstream than upstream. The acoustic tomography system uses omnidirectional acoustic wave transmitting probes. The acoustic signal emitted by one probe can be received by multiple probes, forming a sound measurement line between each pair of probes, ultimately creating a multi-station measurement network. To ensure the stability of the acoustic signal, the acoustic tomography system requires a set of signal control rules.

[0003] Currently, river acoustic tomography systems require high accuracy in acoustic signal recognition, and acoustic signal recognition is related to signal strength. Acoustic signal strength is affected by the underwater acoustic environment of the watershed; water level, water temperature, floating objects, and vessels can all interfere with sound wave propagation. Simultaneously, the acoustic tomography system itself is also subject to factors affecting the acoustic signal; the same acoustic signals transmitted from different stations can interfere with each other, and the signal processing methods at the receiving end can also significantly impact signal recognition. Therefore, researching control methods for acoustic tomography signals to resist channel fading and interference is crucial.

[0004] Existing technology, a water flow detection system based on acoustic tomography (application number CN202410695337.2), involves receiving reflected signals through a data processing unit, preprocessing the reflected signals to obtain a preprocessed signal, evaluating the quality of the preprocessed signal to obtain an evaluation result, dynamically adjusting the acoustic signal processing parameters based on the evaluation result to obtain the final preprocessed signal, extracting clean and noise signals from the preprocessed signal, calculating the variance of the noise signal, traversing all samples of the noise signal, calculating the difference between adjacent samples, and analyzing the final preprocessed signal using the initial acoustic signal processing parameters and acoustic tomography technology to calculate the flow velocity distribution and flow rate. This system and method face significant challenges in extracting clean and noise signals, the system's processing algorithm is complex to train, and its response is slow. Furthermore, it does not adequately consider the influence of the underwater acoustic environment and does not differentiate the processing of signals transmitted from each acoustic tomography station, resulting in significant interference.

[0005] Building upon previous research findings, namely the patent title: "An Intelligent Processing and Evaluation Method for Acoustic Tomography Signal Strength Data" (application number: CN202311391628.4), our research team further investigated the impact of channel fading factors on signal strength, comprehensively improving the acoustic tomography signal control method. Summary of the Invention

[0006] To address the problem that existing systems and river acoustic tomography methods are susceptible to interference from various factors, leading to significant channel fading, this invention proposes a river acoustic tomography signal control method to resist channel fading. This method controls and adjusts the transmission and reception of acoustic signals in multiple dimensions, including time, sequence, type, and intensity, and intelligently evaluates and filters signal quality to ensure signal stability and improve measurement accuracy.

[0007] This invention provides a method for controlling river acoustic tomography signals to resist channel fading, comprising the following steps:

[0008] (1) On both sides of the river, multiple acoustic tomography stations of the acoustic tomography system are configured. Each acoustic tomography station sends mutually orthogonal acoustic wave signals and the time of sending acoustic wave signals of each acoustic tomography station is staggered.

[0009] (2) Measure the length of multiple acoustic measurement lines between multiple acoustic tomography stations on both sides of the river channel and calculate the sound wave propagation time on the corresponding acoustic measurement lines;

[0010] (3) Each acoustic tomography station takes turns transmitting and receiving acoustic signals according to the control signal; it cycles through the above-mentioned acoustic signal transmission and reception process with three signal transmission power levels: weak, medium, and strong.

[0011] (4) The receiver of the acoustic tomography system performs automatic gain control based on the received acoustic signal data to form a large-cycle control process of transmitting and receiving with a fixed time period, so that the intensity of the received acoustic signal is at a relatively stable level.

[0012] (5) Each acoustic tomography station uploads the received acoustic wave signal to the acoustic tomography system control platform, performs intelligent evaluation and screening of the acoustic wave signal data, filters out unqualified data, reduces the influence of noise in the signal, extracts effective signal feature information, and fuses the calculation results for subsequent flow calculation.

[0013] Furthermore, step (1) specifically includes: by setting each acoustic tomography station to send mutually orthogonal acoustic wave signals and staggering the time when each acoustic tomography station sends acoustic wave signals, mutual interference between different acoustic wave signals is avoided, thereby achieving channel separation and noise reduction.

[0014] Further, step (3) specifically includes: measuring the longest time that each acoustic tomography station can receive at any given time, and determining the time required to send / receive a complete acoustic signal. Starting from the first acoustic tomography station, the first acoustic tomography station switches from the sending state to the receiving state at a first set time, while the second acoustic tomography station switches from the receiving state to the sending state. Subsequent acoustic tomography stations sequentially switch between sending and receiving states to form a complete signal transmission and reception process of the acoustic tomography system, and calculating the duration of a complete signal transmission and reception process of the acoustic tomography system.

[0015] Specifically, the duration of a complete signal transmission and reception process of the acoustic tomography system depends on factors such as the distance of the measurement line, the range of water temperature changes, the equipment mode switching time, and the number of acoustic tomography stations, which affect the sound wave propagation time.

[0016] Furthermore, the acoustic tomography system controls each acoustic tomography station to send acoustic signals with three different transmission powers (weak, medium, and strong) in turn, ensuring that suitable signals can be received in different underwater acoustic environments and improving signal data quality. At the same time, the acoustic tomography system receiver will automatically control the gain according to the received signal strength to ensure the stability of the received acoustic signal data.

[0017] Furthermore, in step (5), the acoustic signal data is intelligently evaluated and screened, which specifically includes the following sub-steps: 1) During the non-signal transmission period, each acoustic tomography station receives river noise background data and calculates the noise intensity level; measurement signals are sent at different acoustic tomography stations in the river channel, and the received acoustic signals are calculated and analyzed from three dimensions of reference quantities to obtain signal quality evaluation.

[0018] 2) Based on the signal quality evaluation, the flow rate results obtained under the acoustic signal data are calculated using the acoustic tomography data processing method, and compared with the flow rate data of the mobile ADCP, and the corresponding errors are calculated.

[0019] 3) Perform a correlation test between the reciprocal of the error and the evaluation values ​​of each signal to obtain the corresponding evaluation index values;

[0020] 4) Calculate the weight of each evaluation index value for its respective score. The weighted average of the individual scores is then used to obtain the final comprehensive score for the acoustic signal. This is used to evaluate the quality of sound wave signal intensity and to perform screening.

[0021] Furthermore, in sub-step 1), the three reference quantities of the acoustic tomography signal refer to the signal-to-noise ratio, pulse shape similarity matching degree, and concentration analysis, which are used to score the acoustic signal respectively.

[0022] The technical advantages of the system and method of this invention are described below by comparing them with existing technologies:

[0023] 1) The intensity of underwater acoustic signals is greatly affected by the underwater acoustic environment of the watershed. Water level, water temperature, bottom sediment, or aquatic plants can all interfere with the propagation of sound waves. Existing acoustic tomography stations are all deployed at fixed distances in the river channel. There is no uniform pattern to the acoustic signals transmitted by different acoustic tomography stations, and the same acoustic signals emitted can interfere with each other, resulting in large channel fading and making it difficult for the receiver to accurately identify and measure the acoustic signals.

[0024] Based on the different distribution and distance of multiple acoustic tomography stations, this invention specifically controls and sets the type, sequence, time, and transmission power of the acoustic wave signals emitted by each acoustic tomography station, and correspondingly sets the time for receiving acoustic wave signals. The quality control of the received signal data is performed, and finally the calculation results are fused to obtain accurate and stable flow measurement results.

[0025] This invention controls multiple acoustic tomography stations to send mutually orthogonal signals. Since the cross-correlation of mutually orthogonal signals is zero, different signals will only be identified as background noise during signal identification, without reducing the ability to identify normal signals. Therefore, the mutual interference between signals is reduced to a minimum, and misidentification will not occur, thereby achieving channel separation and noise reduction.

[0026] 2) Considering the influence of different river water levels, water temperatures, bottom sediment, and ship navigation on the water surface, the penetration and transmission effects of sound waves with different power levels are different. The method of this invention controls the acoustic tomography station to transmit signals at three levels of power: weak, medium, and strong. The system cyclically executes the signal transmission and reception process of the entire acoustic tomography station. Finally, all data are integrated for quality evaluation and screening, which greatly reduces external interference noise.

[0027] This invention utilizes automatic gain control at the receiving end based on the received acoustic signal data, ultimately forming a complete large-cycle transmit and receive loop. Changes in transmit power and the automatic gain value of the data are both intelligently and dynamically controlled. The system employs an AGC circuit, which, based on the received acoustic signal strength, automatically amplifies different voltage signals before transmitting them to the MCU for acquisition, ensuring that the received acoustic signal strength remains at a more stable level, achieving a stability 4-7% higher than existing methods.

[0028] 3) The method of this invention intelligently evaluates and filters acoustic signal data, overcoming the shortcomings of existing methods that rely solely on single-method evaluation of sound information intensity. By integrating the advantages of multiple basic evaluation methods and simultaneously verifying the correlation between the reciprocals of various evaluation calculation errors and each signal quality evaluation index, the differences in evaluation values ​​at different magnitudes are integrated, achieving uniformity among the evaluation indicators. Finally, a weighted average of the evaluation index values ​​is calculated, significantly reducing errors and improving the accuracy and scientific rigor of the evaluation. Experiments have shown that the measurement accuracy is 6-9% higher than existing technologies. Attached Figure Description

[0029] Figure 1 This is a schematic diagram of the layout of multiple acoustic tomography stations according to the present invention.

[0030] Figure 2 This is a schematic diagram illustrating the sequence of acoustic signal transmission and reception by multiple acoustic tomography stations according to the present invention.

[0031] Figure 3 This is a circuit diagram illustrating how the system of the present invention controls different transmission powers.

[0032] Figure 4 This is a schematic diagram of the waveform results of transmitting acoustic signals with three power levels and automatically controlling the received signal strength according to the present invention.

[0033] Figure 5 This is a schematic diagram illustrating the process of filtering signal data according to the present invention. Detailed Implementation

[0034] The technical solutions in the embodiments of the invention will now be clearly and completely described with reference to the accompanying drawings.

[0035] This invention provides a river acoustic tomography signal control method to resist channel fading. It controls and adjusts the time, sequence, type, and power of the acoustic signals emitted by each acoustic tomography station according to the distribution and distance of the acoustic tomography stations, and sets the time for receiving acoustic signals accordingly. The received signal data is subjected to quality control, and the calculation results are fused and analyzed to obtain accurate and stable flow measurement results.

[0036] Embodiment 1 of this invention provides a river acoustic tomography signal control method to resist channel fading. It is applicable to acoustic tomography site measurements at multiple acoustic stations in an acoustic tomography system, without limiting the number of acoustic tomography sites. The following example uses four acoustic tomography sites, with the tomography site layout as follows: Figure 1 The stations are numbered A, B, C, and D from upstream to downstream. The arrows indicate the direction of the river. The following describes how to control the signal transmission, reception, and processing at this station.

[0037] The method of the present invention includes step (1) configuring multiple acoustic tomography stations of an acoustic tomography system on both sides of the river channel. Each acoustic tomography station sends mutually orthogonal acoustic wave signals, and the time of each acoustic tomography station sending acoustic wave signals is staggered. For example, configuring 4 acoustic tomography stations to send 4 mutually orthogonal acoustic wave signals. Since the cross-correlation of mutually orthogonal signals is 0, during signal identification, different signals will only be identified as background noise, and will not reduce the recognition ability of normal signals. Therefore, the signals will not interfere with each other and cause misidentification, thereby achieving channel separation and noise reduction.

[0038] Step (2) Measure the length of multiple acoustic measurement lines between multiple acoustic tomography stations on both sides of the river channel and calculate the sound wave propagation time on the corresponding acoustic measurement lines.

[0039] Measure the length d of the four acoustic measurement lines AB, AD, BC, and CD. AB d AD d BC d CD The sound wave propagation time t on the four sound measurement lines is estimated using the speed of sound v and the distance formula d = vt. AB t AD t BC t CD Assuming the length of the acoustic survey lines is within 6 kilometers and the propagation time does not exceed 4 seconds.

[0040] Step (3) Each acoustic tomography station takes turns transmitting and receiving acoustic signals according to the control signal; the above-mentioned acoustic signal transmission and reception process is carried out in a loop with three signal transmission power levels: weak, medium, and strong.

[0041] Assume that each acoustic tomography station can receive acoustic data of length t seconds at a time, while sending / receiving a complete acoustic signal takes t0 seconds. Starting from acoustic tomography station A, an acoustic signal is sent, and acoustic tomography stations B and D respectively... and Reception begins at 2 seconds. At 4 seconds, acoustic tomography station A switches from transmitting to receiving, while acoustic tomography station B switches from receiving to transmitting.

[0042] See Figure 2 Five seconds after acoustic tomography station A sends a signal, acoustic tomography station B begins transmitting an acoustic signal. Acoustic tomography stations A and C calculate the reception time according to the formula and receive the signal transmitted by acoustic tomography station B. At the 9th second, acoustic tomography stations B and C switch their transmit / receive states. Starting at the 10th second, acoustic tomography station C transmits an acoustic signal, and acoustic tomography stations B and D receive the signal. At the 14th second, acoustic tomography stations C and D switch their transmit / receive states. Starting at the 15th second, acoustic tomography station D transmits an acoustic signal, and acoustic tomography stations A and C receive the signal. At the 19th second, acoustic tomography stations D and A switch their transmit / receive states. The above is a complete signal transmission and reception process of the acoustic tomography system, taking a total of 20 seconds.

[0043] Each acoustic tomography station takes turns sending acoustic signals at three different transmission power levels: weak, medium, and strong. This process of signal transmission and reception is repeated cyclically to ensure that suitable signals are received under various underwater acoustic environments, thus improving signal data quality. The receiving end performs automatic gain control based on the received acoustic signal data, ultimately forming a large-scale acoustic signal transmission and reception cycle with a period of one minute.

[0044] Specifically, the duration of a complete signal transmission and reception process for the acoustic tomography system depends on factors such as the measurement line distance, water temperature variation range, equipment mode switching time, and the number of acoustic tomography stations, all of which affect the sound wave propagation time. The duration can be adjusted adaptively. Stations with longer measurement line distances require more time intervals. Changes in water temperature and level will affect the magnitude of changes in sound wave propagation time, and switching between probe transmission and reception modes also requires some time.

[0045] In step (4), the receiver of the acoustic tomography system performs automatic gain control based on the received acoustic signal data, forming a large-cycle control process of transmitting and receiving with a fixed time period, so that the intensity of the received acoustic signal is at a relatively stable level.

[0046] The changes in transmission power and the automatic gain control (AGA) of the data are both implemented by the acoustic tomography system. This can be achieved through hardware circuitry; see [link to relevant documentation]. Figure 3 By controlling the combination of relays 1 and 2, different turns ratios of transformer T3 are controlled, thereby achieving three different transmission power levels: weak, medium, and strong. The system uses an AGC circuit, which automatically gains voltage signals based on the received acoustic signal strength and transmits them to the MCU for acquisition, ensuring that the received acoustic signal strength remains at a relatively stable level.

[0047] Step (5) Each acoustic tomography station uploads the received acoustic wave signal to the acoustic tomography system control platform, performs intelligent evaluation and screening of the acoustic wave signal data, filters out unqualified data, reduces the influence of noise in the signal, extracts effective signal feature information, and fuses the calculation results for subsequent flow calculation.

[0048] Specifically, the process includes the following sub-steps: 1) During non-signal transmission periods, each acoustic tomography station receives background river noise data and calculates the noise intensity level; measurement signals are transmitted from different acoustic tomography stations along the river, and the received acoustic signals are analyzed from three reference dimensions to obtain a signal quality evaluation. The three reference dimensions of the acoustic tomography signal refer to the signal-to-noise ratio, pulse shape similarity matching degree, and concentration analysis, which are used to score the acoustic signals respectively.

[0049] 2) Based on the signal quality evaluation, the flow rate results obtained under the acoustic signal data are calculated using the acoustic tomography data processing method, and compared with the flow rate data of the mobile ADCP, and the corresponding errors are calculated.

[0050] When calculating the signal-to-noise ratio (SNR) of an analytical signal, the received acoustic tomography signal is analyzed using the SNR formula. Calculate the signal-to-noise ratio (SNR) of the signal, where P represents the average power of the signal, which can also be represented by the symbol S; N represents the average power of the noise. The SNR algorithm can evaluate the strength of the signal relative to the noise. The higher the SNR, the better the signal strength.

[0051] When pulse shape similarity matching analysis, also known as template matching filtering analysis, is used, the pure signal data is taken as a template. A template matching filtering algorithm is applied to the pure signal data itself to obtain the matching degree. Since it's a matching between the data itself, a theoretically ideal matching value will be obtained. The larger the template matching filtering result value, the more similar the template and the matched object are at that point. When the received sound signal is the same as the transmitted measurement signal, the most ideal signal data will be obtained.

[0052] The template matching filter result of the received acoustic tomography signal is then subjected to template matching filter operation again with the pure signal data matching result to obtain the matching result of the data, which represents the reception status of the acoustic tomography signal.

[0053] Then, using the ideal matching value as a template, template matching filtering is performed on the actual matching result to obtain the matching degree between the two. If the matching result value is higher, the acoustic tomography signal reception is closer to the ideal situation and the signal strength is better.

[0054] When calculating the concentration of a signal, the contour curve of the matched-filter result is fitted with a normal distribution curve to obtain the normal distribution curve fitting result. This acoustic tomography signal processing can quickly locate areas of strong signal concentration, improve the contrast with background noise signals, and thus increase the success rate of accurate signal analysis.

[0055] 3) The reciprocal of the error is correlated with the evaluation values ​​of each signal to obtain the corresponding evaluation index values. Since the evaluation values ​​obtained by the three sub-evaluation methods have significant differences in magnitude, the study found that in actual calculations, it is necessary to remove the magnitude differences between the scores before data fusion to minimize errors.

[0056] 4) Calculate the weight of each evaluation index value for its respective score. The weighted average of the individual scores is then used to obtain the final comprehensive score for the acoustic signal. This is used to evaluate the quality of sound wave signal intensity and to perform screening.

[0057] For details of step (5) above, please refer to the research results previously published by our R&D team, namely the patent title "An Intelligent Processing and Evaluation Method for Acoustic Tomography Signal Intensity Data", which will not be repeated here.

[0058] This invention's method ensures the stability and reliability of subsequent calculations by filtering out substandard data. Simultaneously, because acoustic tomography uses oversampling to collect data, the number of data samples is much larger than the number of output results. Therefore, the acoustic tomography system control platform can obtain a representative data point from a set of filtered data by averaging it for subsequent flow rate calculations. This processing can further reduce the influence of noise in the signal, extract signal feature information, and thus improve the accuracy of the calculation results.

[0059] The method of this invention brings many technical advantages. By setting each sound station to send mutually orthogonal sound wave signals and staggering the time of each sound station to send sound wave signals, mutual interference between different signals is avoided, thereby achieving channel separation and noise reduction.

[0060] Because the propagation of sound waves is greatly affected by the underwater acoustic environment, factors such as water level, water temperature, and sediment content all influence the intensity of the sound wave signal. Insufficient signal strength leads to indistinguishability, while excessive strength results in severe reverberation interference. Therefore, the method of this invention alternately transmits sound wave signals at three different transmission power levels to ensure appropriate signal reception under various underwater acoustic environments, thereby improving signal data quality. The receiving end automatically controls the gain based on the received signal strength to ensure stable received signal data, unaffected by the underwater acoustic environment.

[0061] See Figure 4 The test waveform diagram shows the results of transmitting sound wave signals at three different power levels and automatically controlling the received signal strength. The checkmarks in the diagram indicate the selected transmit power. It can be seen that the received signal waveforms are stable regardless of the transmitted sound wave signals at the three power levels.

[0062] This invention uses evaluation indicators for acoustic tomography signals to perform quality control on the collected acoustic signal data, filters out affected data, and calculates representative data through mathematical statistical methods, which greatly reduces the impact of noise on the signal and improves the accuracy and stability of the results.

[0063] The process of screening signal data through testing and experimentation is described in [link to relevant documentation]. Figure 5 The checkmarks in the diagram indicate the selected signal waveform, and the final processed signal waveform is more accurate and stable.

Claims

1. A method for controlling river acoustic tomography signals to resist channel fading, characterized in that, Including the following steps: (1) On both sides of the river, multiple acoustic tomography stations of the acoustic tomography system are configured. Each acoustic tomography station sends mutually orthogonal acoustic wave signals and the time of sending acoustic wave signals of each acoustic tomography station is staggered. (2) Measure the length of multiple acoustic measurement lines between multiple acoustic tomography stations on both sides of the river channel and calculate the sound wave propagation time on the corresponding acoustic measurement lines; (3) Each acoustic tomography station takes turns transmitting and receiving acoustic signals according to the control signal; it cycles through the above-mentioned acoustic signal transmission and reception process with three signal transmission power levels: weak, medium, and strong. The longest possible duration of acoustic wave data that each acoustic tomography station can receive at any given time is measured. The time required to send / receive a complete acoustic wave signal is determined starting from the first acoustic tomography station. At a predetermined time, the first acoustic tomography station switches from the sending state to the receiving state, and the second acoustic tomography station switches from the receiving state to the sending state. Subsequent acoustic tomography stations sequentially switch between sending and receiving states, forming a complete signal transmission and reception process of the acoustic tomography system. The duration of a complete signal transmission and reception process of the acoustic tomography system is then calculated. (4) The receiver of the acoustic tomography system performs automatic gain control based on the received acoustic signal data to form a large-cycle control process of transmitting and receiving with a fixed time period, so that the intensity of the received acoustic signal is at a relatively stable level. (5) Each acoustic tomography station uploads the received acoustic wave signal to the acoustic tomography system control platform, performs intelligent evaluation and screening of the acoustic wave signal data, filters out unqualified data, reduces the influence of noise in the signal, extracts effective signal feature information, and fuses the calculation results for subsequent flow calculation.

2. The method for controlling river acoustic tomography signals against channel fading according to claim 1, characterized in that, Step (1) specifically includes: by setting each acoustic tomography station to send mutually orthogonal acoustic wave signals and staggering the time when each acoustic tomography station sends acoustic wave signals, the mutual interference between different acoustic wave signals is avoided, thereby achieving channel separation and noise reduction.

3. The method for controlling river acoustic tomography signals against channel fading according to claim 2, characterized in that, The duration of a complete signal transmission and reception process of the acoustic tomography system depends on factors such as the distance of the measurement line, the range of water temperature changes, the equipment mode switching time, and the number of acoustic tomography stations, which affect the sound wave propagation time.

4. The method for controlling river acoustic tomography signals against channel fading according to claim 1, characterized in that, The acoustic tomography system controls each acoustic tomography station to send acoustic signals with three different transmission powers (weak, medium, and strong) in turn, ensuring that suitable signals can be received in different underwater acoustic environments and improving signal data quality. The acoustic tomography system receiver automatically controls the gain according to the received signal strength to ensure the stability of the received acoustic signal data.

5. The method for controlling river acoustic tomography signals against channel fading according to claim 1, characterized in that, In step (5), the acoustic signal data is intelligently evaluated and filtered, which specifically includes the following sub-steps: 1) During non-signal transmission periods, each acoustic tomography station receives background noise data of the river and calculates the noise intensity level; measurement signals are transmitted at different acoustic tomography stations in the river channel, and the received acoustic signals are calculated and analyzed from three dimensions of reference quantities to obtain signal quality evaluation. 2) Based on the signal quality evaluation, the flow rate results obtained under the acoustic signal data are calculated using the acoustic tomography data processing method, and compared with the flow rate data of the mobile ADCP, and the corresponding errors are calculated. 3) Perform a correlation test between the reciprocal of the error and the evaluation values ​​of each signal to obtain the corresponding evaluation index values; 4) Calculate the weight of each score result according to the evaluation index value, and perform a weighted average of each score result to obtain the comprehensive score of the sound wave signal. Use this score to evaluate the quality of the sound wave signal intensity and perform screening.

6. The intelligent processing and evaluation method for acoustic tomography signal intensity data according to claim 5, characterized in that, In sub-step 1), the three reference quantities of the acoustic tomography signal refer to the signal-to-noise ratio, pulse shape similarity matching degree, and concentration analysis, which are used to score the acoustic signal respectively.

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