An estuary water level adaptive flow monitoring method and system

Abstract

The application discloses a kind of estuary water level adaptive flow monitoring method and system, wherein the method comprises: S1, each setting one acoustic signal transceiver point on the two banks of the measured estuary river course;S2, real-time water level safety detection is carried out according to the position of acoustic signal transceiver point;S3, the propagation time of acoustic signal reciprocity transmission between the two acoustic signal transceiver points is obtained based on the cross-correlation method;S4, the real-time cross-sectional area of the measured section is calculated based on the trapezoidal accumulation method and real-time water level information;S5, the real-time average flow velocity of the measured section is calculated based on the propagation time;S6, the real-time flow of the estuary is calculated based on the real-time cross-sectional area of the section and the implementation average flow velocity.The application can realize real-time monitoring of water flow in the tidal area with shallow water depth and large water level change, provide technical support for hydrological monitoring engineering at the junction of sea and land, and help marine environmental supervision.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of estuary water level adaptive flow monitoring, and in particular to an estuary water level adaptive flow monitoring method and system. BACKGROUND

[0002] Under the superimposed influence of human activities and climate change, estuary and nearshore ecosystems are most susceptible to disturbance and exhibit high vulnerability. To understand the material flux and ecosystem evolution at the sea-land interface, real-time online monitoring of estuary flow is particularly critical and is currently a technical bottleneck in the field of nearshore marine environmental protection.

[0003] The international community attaches great importance to direct observation of the environmental and ecological variation rules of long-term climate change, short-term extreme weather and various human activities on land, and establishes Real-time Coastal Observation Network (ReCON) to strengthen real-time observation and forecasting capabilities. The National Oceanic Administration's 2014 National Marine Ecological Environment Monitoring Task emphasizes that in terms of marine environmental supervision and monitoring, the frequency of surveying and monitoring of estuary pollution outlets and estuary rivers should be increased, and online monitoring of key pollution outlets should be attempted. Therefore, it is extremely important to follow the international research frontier, focus on national major needs, strengthen online monitoring technology of hydrological parameters at the sea-land interface, and obtain real-time data at key sections.

[0004] Most of the current flow monitoring systems cannot achieve real-time online observation, such as acoustic Doppler current profilers and temperature-salinity-depth instruments. Such in-situ measurement methods cannot accurately reflect the average flow of long-distance water areas and are easily affected by fishing and shipping. Radar wave flow measurement methods can monitor online, but they can only detect surface flow and are difficult to detect flow in water, and the average flow calculation results at the estuary are not representative. Acoustic means gradually play a significant role in marine research and marine engineering. Sound waves can travel long distances in water, and acoustic means can achieve real-time online large-area measurement. However, in the tidal zone with shallow water depth and large water level changes, the flow field is unevenly distributed and unstable, and the acoustic sensor is easily exposed to air to work, causing equipment damage. This problem brings difficulties to the use of acoustic means for long-term online flow monitoring in estuary areas with large tidal changes and shallow water depth. Therefore, it is necessary to propose a technical method that can overcome the shortcomings of the prior art and achieve real-time online monitoring. SUMMARY

[0005] Therefore, the purpose of the present application is to provide an estuary water level adaptive flow monitoring method and system, which can realize real-time monitoring of water flow in tidal areas with shallow water depth and large water level changes, provide technical support for sea-land interface hydrological monitoring projects, and help marine environmental supervision.

[0006] According to one aspect of the present application, a water level adaptive flow monitoring method for an estuary is provided, comprising:

[0007] S1. Each of the two banks of the river channel to be measured at the estuary is provided with an acoustic signal transceiving point;

[0008] S2. Real-time water level safety detection is performed according to the position of the acoustic signal transceiving point;

[0009] S3. The propagation time of acoustic signal reciprocal transmission between the two acoustic signal transceiving points is obtained based on a cross-correlation method;

[0010] S4. The real-time cross-sectional area of the measurement section is calculated based on a trapezoidal accumulation method and real-time water level information;

[0011] S5. The real-time average flow velocity of the measurement section is calculated based on the propagation time;

[0012] S6. The real-time flow of the estuary is calculated based on the real-time cross-sectional area of the section and the average flow velocity.

[0013] The above technical solution, the present application transmits acoustic signals reciprocally through two acoustic signal transceiving points, and the acoustic signal transceiving points return real-time water level information to perform real-time water flow monitoring. At the same time, the safety is judged by means of the acoustic signal transceiving points, and the emission of acoustic signals is controlled, so that the acoustic signal transceiving points stop working in time when the water depth is insufficient, thereby achieving the effect of protecting the acoustic signal transceiving points. The present application can realize high-resolution real-time observation of water flow in most estuary / gulf areas and estuary areas with large water level changes, thereby providing data support for total river inflow monitoring, data basis for total land pollution monitoring, observation truth value for biological and geochemical process research and related model development in the estuary area, and technical support for hydrological monitoring engineering at the junction of land and sea, which has important significance for the development of related disciplines. The present application is an ecological system observation technology with water level adaptation and self-protection functions, and has the advantages of high observation accuracy, large spatial coverage, low cost, high resolution, and long-term real-time observation.

[0014] In some embodiments, S2 is specifically:

[0015] A depth threshold value at which the acoustic signal transceiving point can work safely is set according to the position of the river channel at the estuary;

[0016] The acoustic signal transceiving point obtains the real-time water level and compares it with the depth threshold value, and records the comparison result in real time;

[0017] If the real-time water level is greater than the depth threshold value, the acoustic signal transceiving point starts to transmit and receive acoustic signals, and enters step S3; otherwise, step S2 is repeated.

[0018] In some embodiments, S3 is specifically:

[0019] The acoustic signal transceiving points include point A and point B; the acoustic signal is emitted by point A at the ith moment, and the signal is received by point B, denoted as T AB is the acoustic signal propagation time at the ith moment; the acoustic signal is emitted by point B at the (i+1)th moment, and the signal is received by point B, denoted as T BA is the acoustic signal propagation time at the (i+1)th moment;

[0020] T AB and BA The cross-correlation method is used for calculation.

[0021] In some embodiments, the T AB and BA The cross-correlation method is used for calculation, and the formula is as follows:

[0022]

[0023] wherein x(n) is the received signal, N is the data length of the emitted signal y(n), and m is the offset of the emitted signal along the x-axis direction, and the offset range at least satisfies that the received signal and the emitted signal are separated from each other to coincide and then separated again;

[0024] At the ith moment, the offset m0 xy that makes R + (m) reach the maximum value, the sampling rate f s , and the propagation time T AB is:

[0025]

[0026] At the (i+1)th moment, the offset m0 xy that makes R - (m) reach the maximum value, the sampling rate f s , and the propagation time T BA is:

[0027]

[0028] In some embodiments, the S4 is specifically:

[0029] An initial height h0 from the water surface to the water bottom is obtained; a height h1 of the acoustic signal transceiving point from the water bottom is obtained; a real-time water level h is collected by the acoustic signal transceiving point; a real-time dynamic and water depth difference Δh = h + h1 - h0 is calculated;

[0030] The acoustic signal transceiving points include point A and point B; it is assumed that the end face width of point A and point B is W, and the horizontal position direction is uniformly divided into n equal parts (n→∞), and then there are

[0031] ΔW = W /

[0032] The real-time cross-sectional area is given by the following formula:

[0033]

[0034] wherein H(k) and H(k+1) are two adjacent equal parts of the depth.

[0035] In some embodiments, the S5 is specifically:

[0036] The acoustic signal transceiver points include point A and point B; the horizontal interval of point A and point B is L, the angle between the line connecting the two points and the flow direction of the river into the sea is θ, and the acoustic propagation time between the two points is:

[0037]

[0038]

[0039] wherein L AB and L BA respectively represent the propagation path length of the acoustic signal from point A to point B and from point B to point A, is the average sound speed, and u is the average flow speed;

[0040] Assuming that L AB ≈L BA ≈L, the above two formulas are combined to obtain the real-time average sound speed and average flow speed of the measured section as:

[0041]

[0042]

[0043] wherein, is the average time of acoustic signal propagation between the two points.

[0044] In some embodiments, the real-time flow of the estuary is specifically:

[0045] Q=u·F·sinθ

[0046] wherein u is the average flow speed of the estuary section, F is the real-time cross-sectional area of the estuary section, and θ is the angle between the line connecting the two points and the flow direction of the river into the sea.

[0047] In the above technical solution, the flow monitoring fully utilizes the reciprocity transmission theory, cross-correlation algorithm and trapezoidal accumulation method and other theories and methods, and uses high-frequency acoustic waves for measurement, reduces the acoustic propagation time measurement error, improves the flow measurement resolution, and realizes real-time online monitoring.

[0048] According to another aspect of the present application, there is provided an estuary water level adaptive flow monitoring system based on the above-mentioned estuary water level adaptive flow monitoring method, comprising: two acoustic signal transceiving points, each of which comprises the following units:

[0049] a main control box unit for running flow monitoring software, generating acoustic signal waveforms, and analyzing and processing flow data, water level judgment, and unified coordination control system operation; comprising an industrial computer, a data acquisition card, a water acoustic power amplifier, an amplification filtering module, a communication module, and a GPS module; wherein the industrial computer is electrically connected with the data acquisition card, the communication module, and the GPS module respectively; the data acquisition card is electrically connected with the water acoustic power amplifier, the amplification filtering module, and the GPS module respectively; the

[0050] an acoustic sensor unit for transceiving acoustic signals; comprising a water acoustic transducer and a hydrophone; wherein the hydrophone is electrically connected with the amplification filtering module; the water acoustic transducer is electrically connected with the water acoustic power amplifier;

[0051] a water level detection unit for calculating the real-time cross-sectional area of the monitoring area, calculating the real-time flow, and safety judgment; comprising a water level sensor electrically connected with the industrial computer.

[0052] In the above technical solution, compared with other acoustic flow rate measurement systems, the method of the present application has strong practicability for the environment, uses a water level sensor unit to calculate the real-time cross-sectional area of the section and also to judge the safety of the water level sensor, thereby protecting the integrity of the system in the first time, and is also applicable to tidal river sections with relatively shallow water depth and large water level changes. The flow monitoring fully utilizes the theories and methods such as reciprocal transmission theory of acoustic waves, cross-correlation algorithm, and trapezoidal accumulation method, uses high-frequency acoustic waves for measurement, reduces the measurement error of acoustic propagation time, improves the flow measurement resolution, and realizes real-time online monitoring; the communication module in the main control box unit can transmit the real-time obtained estuary flow rate, flow, water level information, etc. to a remote wireless terminal device for inquiry and recording; the estuary water level adaptive flow monitoring system is convenient to install in practice, has small power consumption, can be remotely controlled, has high humanization degree, is suitable for field work, has high measurement accuracy and equipment safety, and overcomes the shortcomings of existing ADCP measurement technology such as short detection distance and serious environmental influence. The present application can meet the long-term real-time observation needs of water flow in most estuary / gulf regions and river estuary regions, has the advantages of low observation cost, strong expandability, convenient observation, etc., is suitable for investigation of water flow in water areas with large water level changes, provides technical support for hydrological monitoring engineering at the junction of sea and land, and helps marine environmental supervision.

[0053] According to still another aspect of the present application, there is provided an estuary water level adaptive flow monitoring device, comprising at least one processor, and a memory communicatively connected to the processor, wherein the memory stores instructions executable by the at least one processor, and the instructions, when executed by the at least one processor, perform the above-mentioned estuary water level adaptive flow monitoring method.

[0054] According to still another aspect of the present application, there is provided a computer readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the above-mentioned estuary water level adaptive flow monitoring method. BRIEF DESCRIPTION OF DRAWINGS

[0055] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, hereinafter, the drawings needed to be used in the embodiments or prior art description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor.

[0056] Figure 1 is a flowchart of an embodiment of the estuary water level adaptive flow monitoring method of the present application.

[0057] Figure 2 is a structural schematic diagram of an embodiment of the estuary water level adaptive flow monitoring system of the present application.

[0058] Figure 3 is a flowchart of the S2 step in an embodiment of the present application.

[0059] Figure 4 is a schematic diagram of the real-time cross-sectional area calculation in an embodiment of the present application.

[0060] Figure 5 is a water level adaptive flow monitoring effective data time diagram in an embodiment of the present application. DETAILED DESCRIPTION

[0061] The present application will be further described in detail below in conjunction with the drawings and embodiments. It is particularly pointed out that the following embodiments are only used to illustrate the present application, but do not limit the scope of the present application. Similarly, the following embodiments are only some embodiments of the present application, but not all embodiments, and all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0062] The present application provides an estuary water level adaptive flow monitoring method, which can realize two-dimensional flow field and temperature field inversion in the coastal area through sound waves.

[0063] Please refer toFigure 1 , Figure 1 This is a flowchart illustrating an embodiment of the adaptive flow monitoring method for estuary water level according to the present invention. It should be noted that if substantially the same result is obtained, the method of the present invention is not necessarily identical. Figure 1 The illustrated process sequence is limited. For example... Figure 1 As shown, the method includes the following steps:

[0064] S1. Deploy the Haikou water level adaptive flow monitoring system on both banks of the river channel to be tested at the estuary.

[0065] In this embodiment, the estuary water level adaptive flow monitoring system includes two acoustic signal transceiver points, one on each bank of the river channel to be monitored. Each acoustic signal transceiver point includes a main control box unit, an acoustic sensor unit, and a water level monitoring unit. Figure 2 .

[0066] The main control box unit is equipped with an industrial computer, a data acquisition card, an underwater acoustic power amplifier, an amplification and filtering module, a communication module, and a GPS module.

[0067] The industrial computer serves as the software and system control center, running flow monitoring software, generating acoustic signal waveforms, analyzing and processing flow data, determining water level, and coordinating the operation of the control system. The data acquisition card converts the digital acoustic signals generated by the industrial computer into analog acoustic signals and acquires the received acoustic signals. The underwater acoustic power amplifier amplifies the acoustic signals to be emitted, increasing the sound source level. The amplification and filtering module amplifies and filters the small, noisy signals received by the acoustic sensor unit. The GPS module provides time synchronization and positioning, generating a 1PPS pulse signal for time synchronization. The communication module provides a network, enabling unattended operation and real-time online monitoring of flow data.

[0068] The acoustic sensor unit includes an underwater acoustic transducer and a hydrophone. The underwater acoustic transducer is used to transmit amplified acoustic signals; the hydrophone is used to receive acoustic signals in the water.

[0069] The water level monitoring unit consists of a water level sensor that transmits water level information in real time. It is deployed at the same depth as the acoustic sensor and is used to calculate the real-time cross-sectional area of ​​the monitoring area, thereby calculating the real-time flow rate. In addition, it is also used by the system to determine the safety of the acoustic sensor, so as to achieve water level self-adaptation.

[0070] S2. Acoustic sensor safety assessment, i.e., water level adaptive process, flowchart reference. Figure 3 .

[0071] S2.1 Set the safe working depth threshold value in advance according to the location of the field water acoustic sensor unit;

[0072] S2.2 Read the real-time water level information according to the data returned by the deployed water level monitoring unit;

[0073] S2.3 Compare the real-time water level information with the safe working depth threshold value set in advance, and record the comparison result in real time;

[0074] S2.4 If the real-time water level in step S2.3 is greater than the set depth threshold value, the power amplifier unit receives the "safe" instruction, the underwater acoustic transducer emits an acoustic signal, and enters step S3. If the real-time water level in step S2.3 is less than the set depth threshold value, the power amplifier unit receives the "unsafe" instruction, the underwater acoustic transducer cannot emit an acoustic signal, and then the cycle step S2 until the real-time water level is greater than the set depth threshold value after the survey site rises, and then enters step S3.

[0075] S3, based on the cross-correlation algorithm to obtain the propagation time of the reciprocal transmission of the acoustic signal between the two acoustic signal transmission and reception points.

[0076] Two acoustic signal transmission and reception points are denoted as A point and B point. At the same time, A point starts to emit the acoustic signal modulated by the spread spectrum technology, and B point starts to receive the acoustic signal, denoted as T AB , which is the acoustic signal propagation time at this time. At the next time, B point starts to emit the acoustic signal, and A point starts to receive the acoustic signal, denoted as T BA , which is the acoustic signal propagation time at this time.

[0077] T AB and BA The calculation method of and is calculated by the cross-correlation algorithm:

[0078]

[0079] In the above formula, x(n) is the received signal, N is the data length of the transmitted signal y(n), and m is the offset of the transmitted signal along the x-axis direction. The offset range at least satisfies that the received signal and the transmitted signal are separated from each other to the coincidence and then separated again.

[0080] When A point emits and B point receives the acoustic signal, the time of signal emission is taken as 0. According to the property of the cross-correlation function, if the cross-correlation function R xy (m) reaches the maximum value at the offset m0 + , then the propagation time at this time is:

[0081]

[0082] In the formula, f sFor the sampling rate, similarly, the propagation time of the sound signal when B point transmits and A point receives is:

[0083]

[0084] In this embodiment, the system uses a spread spectrum signal with a center frequency of 60 kHz for flow monitoring, and the sampling rate f s The time resolution is as high as 0.83μs, and the reliability of the signal arrival time is relatively high by judging the maximum correlation peak.

[0085] S4. Based on the trapezoidal accumulation method and the real-time water level information returned by the water level monitoring unit, the real-time cross-sectional area of the measured section is calculated, and the reference Figure 4 .

[0086] S4.1 Before the operation of the water level adaptive flow monitoring system, a topographic survey of the measured section is conducted, and the survey results and the water surface distance from the bottom height h0 at the time of surveying are recorded.

[0087] S4.2 Combined with the real-time water level h measured by the water level sensor and the water level sensor placement position distance from the bottom height h1, the real-time dynamic water depth difference with the water depth at the time of topographic surveying is calculated. The real-time dynamic water depth changes with time, so this difference also changes with time. Since the water level information measured by the water level sensor is the height difference between the water level sensor and the water surface, the real-time dynamic water depth difference with the water depth at the time of topographic surveying is Δh = h + h1 - h0.

[0088] S4.3 Real-time cross-sectional area calculation based on trapezoidal accumulation method. Let the measured section width be W, which is evenly divided into n equal parts (n→∞) in the horizontal position direction, then

[0089] ΔW = W / n

[0090] The topographic survey time is generally when the high tidal depth is deep enough, so the water acoustic sensor and the water level sensor are generally placed below the water surface at the time of topographic surveying, and the system does not work when the water surface is below the water acoustic sensor and the water level sensor. Therefore, the measured section cross-sectional area change part is a rectangle with a long fixed and a time-varying width. Therefore, when the system is working effectively, the real-time cross-sectional area of the section is given by the following formula:

[0091]

[0092] Where H(k) and H(k+1) are the adjacent two depths at the time of topographic surveying.

[0093] S5. Based on the reciprocal transmission theory of acoustic waves and the reciprocal transmission of the acoustic signals, the real-time average sound speed and average flow rate of the measured section are calculated.

[0094] The horizontal interval of point A and point B is L, the angle between the line connecting the two points and the flow direction of the river into the sea is θ, and the sound propagation time between the two points is:

[0095]

[0096]

[0097] wherein L AB and L BA respectively refer to the propagation path length of the sound signal from point A to point B and from point B to point A, is the average sound speed, and u is the average flow speed in the measurement area. Generally, there is

[0098] L AB ≈L BA ≈L. By combining the above two equations, the real-time average sound speed and the average flow speed of the measurement section are obtained as:

[0099]

[0100]

[0101] wherein, is the average time of sound signal propagation between the two points.

[0102] S6, the real-time flow of the river into the sea is calculated by the real-time average flow speed and the real-time cross-sectional area of the section. The real-time flow on the section is the product of the average flow speed and the real-time cross-sectional area, so the real-time flow of the river into the sea is:

[0103] Q=u·F·sinθ

[0104] The implementation location of the embodiment is in Xiamen, which has the tidal characteristics of semi-diurnal tide. As shown in Figure 5 , it is the effective time diagram of the water level adaptive flow monitoring of the embodiment. The black part is the time when the water depth is sufficient for the underwater acoustic transducer to normally emit sound signals and generate effective data, which is consistent with the tidal characteristics of Xiamen Port. When the water depth is lower than the preset depth threshold, the underwater acoustic transducer stops emitting signals, so there is no effective data in the corresponding time period in the diagram, thus realizing the expected function.

[0105] The above only describes some embodiments of the present application, and does not limit the protection scope of the present application. Any equivalent device or equivalent process transformation using the content of the specification and drawings, or direct or indirect application in other related technical fields, is also included in the patent protection scope of the present application.

Claims

1. An adaptive water level flow monitoring method for an estuary, characterized by, Comprise: S1, each of the two banks of the river channel to be measured is provided with an acoustic signal transceiving point; S2, real-time water level safety detection is performed according to the position of the acoustic signal transceiving point; S3, the propagation time of the acoustic signal transceiving reciprocity between the two acoustic signal transceiving points is obtained based on the cross-correlation method; S4, the real-time cross-sectional area of the measured section is calculated based on the trapezoidal accumulation method and the real-time water level information; S5, the real-time average flow velocity of the measured section is calculated based on the propagation time; S6, the real-time flow of the estuary is calculated based on the real-time cross-sectional area of the section and the real-time average flow velocity; The S2 is specific: The depth threshold value that can work safely is set according to the position of the estuary; The real-time water level is obtained by the acoustic signal transceiving point, and compared with the depth threshold value, and the real-time comparison result is recorded; If the real-time water level is greater than the depth threshold value, the acoustic signal transceiving point starts to transceive acoustic signals, and enters step S3; Otherwise, step S2 is repeated; The S4 is specific: Obtaining initial height h0 from water surface to water bottom; obtaining height h1 of acoustic signal transceiver point from water bottom; collecting real-time water level h by acoustic signal transceiver point; calculating real-time dynamic and water depth difference ; The sound signal transceiving points include point A and point B; assuming that the end face width of point A and point B is W, the horizontal position direction is evenly divided into n equal parts ), and thus The real-time cross-sectional area of the section is given by the following formula: wherein and is the depth of the adjacent two equal parts; The S5 is specific: The sound signal transceiving points include point A and point B; the horizontal interval of point A and point B is L, the included angle between the line connecting the two points and the flow direction of the river flowing into the sea is , and the sound propagation time between the two points is: wherein, and respectively refer to the propagation path length of the acoustic signal propagating from point A to point B and from point B to point A, is the average sound speed, and u is the average flow speed; Assume , and the above two equations, the average sound speed and average flow rate of the measured section in real time are obtained as wherein is the average time of sound signal propagation between two points; The real-time flow of the estuary is specific: Wherein, u is the average flow velocity of the estuary section, F is the real-time cross-sectional area of the estuary section, is the angle between the line connecting the two points and the flow direction of the estuary.

2. The estuary water level adaptive flow monitoring method of claim 1, wherein, The S3 is specific: The sound signal transceiving points include point A and point B; the sound signal is emitted by point A at the i th moment, and the signal is received by point B, denoted as is the sound signal propagation time at the i th moment; the sound signal is emitted by point B at the i+1 th moment, and the signal is received by point B, denoted as is the sound signal propagation time at the i+1 th moment; and Calculated using cross-correlation method.

3. The self-adapting flow monitoring method for an estuary water level according to claim 2, wherein, The and The cross-correlation method is calculated using the following formula: wherein, is a received signal, is a transmitted signal is a data length, m is an offset of the transmitted signal along the x-axis direction, the offset at least satisfies such that the received signal and the transmitted signal are separated from each other to coincide and then separated again. At the i-th moment, the time delay is made to be The offset amount that takes the maximum value , the sampling rate The propagation time is: At the (i+1)th moment, the propagation time is the offset that takes the maximum value , the sampling rate , then the propagation time is: 。 4. An estuary water level adaptive flow monitoring system based on the estuary water level adaptive flow monitoring method of any one of claims 1-3, characterized in that, Comprise: 2 acoustic signal transceiving points, each of which comprises the following units: A main control box unit for running the flow monitoring software, generating acoustic signal waveforms, and analyzing and processing flow data, water level judgment, and unified coordination control system operation; including an industrial computer, a data acquisition card, a water acoustic power amplifier, an amplification filtering module, a communication module, and a GPS module; wherein the industrial computer is electrically connected with the data acquisition card, the communication module, and the GPS module respectively; the data acquisition card is electrically connected with the water acoustic power amplifier, the amplification filtering module, and the GPS module respectively; the An acoustic sensor unit for transceiving acoustic signals; including a water acoustic transducer and a hydrophone; wherein the hydrophone is electrically connected with the amplification filtering module; the water acoustic transducer is electrically connected with the water acoustic power amplifier; A water level detection unit for calculating the real-time cross-sectional area of the monitoring area, calculating the real-time flow, and safety judgment; including a water level sensor, which is electrically connected with the industrial computer.

5. An adaptive estuary level flow monitoring device, characterized by, Comprise: At least one processor, and a memory communicatively connected to the processor, wherein The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to perform the estuary water level adaptive flow monitoring method of any one of claims 1 to 3.

6. A computer readable storage medium storing a computer program, characterized in that, The computer program is executed by the processor to implement the estuary water level adaptive flow monitoring method of any one of claims 1 to 3.

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