Wharf bank slope erosion and deposition monitoring equipment and identification method

Abstract

The invention relates to the technical field of bank slope erosion and deposition monitoring, and discloses wharf bank slope erosion and deposition monitoring equipment and an identification method. The sonar depth finder is installed at the top of the outer wall of the supporting column and used for detecting the water level depth; the water flow Doppler velocimeter is installed at the bottom of the outer wall of the supporting column and used for detecting the flow speed and the flow direction of water flow; the sensor group is mounted in the middle of the outer wall of the support column and is used for detecting the temperature, turbidity and salinity of the water flow; and the controller is mounted at the inner top of the supporting column and is used for receiving and calculating information of the sensor group, the sonar depth finder and the water flow Doppler velocimeter. By detecting the water depth, the water flow speed, the water flow direction, the water temperature, the turbidity and parameters, the controller receives, preprocesses, calculates and analyzes information, and therefore real-time monitoring of the water area state is achieved, scour and siltation areas are accurately predicted, early warning is given out in time, decision support is provided, and the safety and maintenance efficiency of bank slope facilities are improved.

Description

Technical Field

[0001] The invention relates to the technical field of bank slope erosion and siltation monitoring, and in particular to dock bank slope erosion and siltation monitoring equipment and an identification method. Background Art

[0002] The dock slope scouring and silting monitoring equipment is a device that integrates multiple sensor technologies and is specifically used to monitor scouring and silting phenomena in the water environment. It is especially suitable for the maintenance and protection of water facilities such as docks, ports, and slopes. Its main uses include real-time monitoring of the water environment and monitoring scouring and silting phenomena.

[0003] Most existing monitoring systems rely on a single sensor for data collection, usually a single water depth measurement or water velocity monitoring. This monitoring method is difficult to fully capture the changing environment of the water area. The monitoring of a single parameter cannot fully reflect the state of the water area, resulting in large errors in the prediction of water scouring and siltation. Summary of the invention

[0004] In view of the shortcomings of the prior art, the present invention provides dock bank scouring and silting monitoring equipment and identification method, which solves the problems in the prior art of relying on a single sensor resulting in incomplete monitoring, inability to accurately reflect the state of the water area, and large errors in predicting scouring and silting.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: a dock slope erosion and siltation monitoring device, comprising: The pillar has a base installed at the bottom thereof for supporting the pillar; A sonar depth sounder, which is mounted on the top of the outer wall of the pillar to detect the water depth; A water flow Doppler velocimeter, which is installed at the bottom of the outer wall of the pillar and is used to detect the flow velocity and direction of the water flow; A sensor group, which is installed in the middle of the outer wall of the pillar, is used to detect the temperature, turbidity and salinity of the water flow; The controller is installed at the inner top of the pillar and is used to receive and calculate the information from the sensor group, the sonar depth sounder and the water flow Doppler speed meter.

[0006] Preferably, the sensor group includes: Temperature sensor, used to monitor the temperature of the water body; Turbidity sensor, used to detect the turbidity of water; Salinity sensors are used to monitor the salinity of water bodies.

[0007] Preferably, the top of the outer wall of the pillar is fixedly connected to a cover shell, the interior of the cover shell is slidably connected to a floating plate, and the sonar depth sounder is installed in the middle of the floating plate.

[0008] Preferably, a clamping block is fixedly connected to the outer wall of the floating plate, and a clamping groove is provided on the inner wall of the cover shell, and the clamping block is engaged in the clamping groove.

[0009] Preferably, an extension plate is provided on the outer wall of the base, a slot is provided on the bottom of the side wall of the base, and the extension plate is located inside the slot.

[0010] Preferably, a photovoltaic panel is installed on the top of the pillar, and a battery is installed on the inner top of the pillar for receiving electricity generated by the photovoltaic panel and supplying it to the sensor group, sonar depth sounder, water flow Doppler speed meter and controller.

[0011] Preferably, the controller internally includes: A receiving unit, used for receiving detection data from the sensor group, the sonar depth sounder, and the water flow Doppler velocimeter; A processing unit, used for preprocessing data; A calculation unit is used to analyze and calculate the pre-processed data and generate a hydrological information evaluation result of the monitoring area; Transmission unit, used to transmit the evaluation results to the shore service center.

[0012] The dock slope erosion and siltation monitoring and identification method comprises the following steps: Data collection: real-time monitoring of water environment parameters; Data preprocessing: preprocessing water environment parameters, including denoising, filtering, and outlier removal; Simulate water flow conditions based on hydrodynamic models and water environment parameters, analyze the scouring force of water flow on the dock slope and the movement trend of sediments, predict potential scouring or siltation areas, and generate hydrological information assessment results; Data transmission: Transmit hydrological information assessment results to the shore service center; The three-dimensional model is used to simulate and display the water environment parameters and hydrological information assessment results, showing the water flow status and bank slope changes, and highlighting abnormal areas.

[0013] Preferably, the environmental parameters include water temperature, turbidity, salinity, water depth, water flow velocity and flow direction.

[0014] Preferably, in the simulated water flow state, safety thresholds for scour and siltation are set. When the water flow velocity, flow direction, water depth change rate or sediment movement trend exceeds the set threshold, the area is marked as a potential abnormal area and an early warning mechanism is triggered.

[0015] The present invention provides a dock slope erosion and siltation monitoring device and identification method. It has the following beneficial effects: 1. The present invention can detect water depth through a sonar depth sounder, water flow Doppler velocimeter can detect water flow speed and direction, and the sensor group can detect water temperature, turbidity and salinity parameters. The information is then received, pre-processed, calculated and analyzed by a controller, thereby achieving real-time and comprehensive monitoring of the water state, accurately predicting potential scouring and siltation areas, and issuing early warning information in a timely manner, providing scientific decision-making support, and improving the safety and maintenance efficiency of slope facilities.

[0016] 2. The present invention can extend the floor space of the base by removing the extension plate and then inserting the extension plate into the slot. Therefore, after the base is buried in the soil, the stability of the base can be improved, thereby enhancing the bearing capacity of the equipment in the soil layer, avoiding tilting or displacement of the equipment, thereby ensuring the stability and safety of the equipment in long-term use.

[0017] 3. The present invention simulates the water flow state through a hydrodynamic model, predicts potential scouring and siltation areas, and identifies risk areas in advance, thereby providing a scientific basis for slope protection. By providing early warning of the risks of scouring and siltation, managers can take protective measures in a timely manner to avoid or reduce the damage to the slope caused by water flow, thereby ensuring the long-term stability and safety of water facilities. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a schematic diagram of the three-dimensional structure of the present invention; Figure 2 It is a schematic diagram of the structure of an embodiment of the present invention; Figure 3 It is a front cross-sectional view of the base of the present invention; Figure 4 It is a front cross-sectional view of the cover of the present invention; Figure 5 It is a schematic diagram of the structure of the card block part of the present invention.

[0019] Among them, 1. pillar; 2. base; 3. sonar depth sounder; 4. sensor group; 401. temperature sensor; 402. turbidity sensor; 403. salinity sensor; 5. controller; 6. extension plate; 7. slot; 8. cover; 9. floating plate; 10. card block; 11. photovoltaic panel; 12. battery; 13. water flow Doppler velocimeter. DETAILED DESCRIPTION

[0020] The following will be combined with the drawings in the specification of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] In order to better understand the present invention, the above contents are described in detail below in conjunction with specific embodiments.

[0022] Embodiment 1: Please see attached Figure 1-Figure 5 The embodiment of the present invention provides a dock slope scouring and silting monitoring device, including: a pillar 1, at the bottom of which a base 2 is installed for supporting the pillar 1; a sonar depth sounder 3, which is installed at the top of the outer wall of the pillar 1, for detecting the water level depth; a water flow Doppler velocimeter 13, which is installed at the bottom of the outer wall of the pillar 1, for detecting the flow velocity and flow direction of the water flow; a sensor group 4, which is installed in the middle of the outer wall of the pillar 1, for detecting the temperature, turbidity and salinity of the water flow; a controller 5, which is installed at the inner top of the pillar 1, for receiving and calculating information from the sensor group 4, the sonar depth sounder 3 and the water flow Doppler velocimeter 13.

[0023] In this embodiment, the sonar depth sounder 3 is used to detect the water level depth, the water flow Doppler velocimeter 13 is used to detect the flow velocity and direction of the water flow, and the sensor group 4 is used to detect the temperature, turbidity and salinity of the water flow. The information is then received, preprocessed, calculated and analyzed by the controller 5. Therefore, real-time and comprehensive monitoring of the water state can be achieved, potential scouring and siltation areas can be accurately predicted, and early warning information can be issued in a timely manner to provide scientific decision-making support and improve the safety and maintenance efficiency of slope facilities.

[0024] Please see attached Figure 1 and Figure 2 The sensor group 4 includes: a temperature sensor 401 for detecting the temperature of the water body; a turbidity sensor 402 for detecting the turbidity of the water body; and a salinity sensor 403 for detecting the salinity of the water body.

[0025] In this embodiment: Temperature sensor 401 is used to detect the temperature of water bodies. Water temperature is a key factor affecting the distribution of aquatic populations, dissolved oxygen content, and water flow. Temperature changes directly affect water flow dynamics and water quality. It is an important parameter for evaluating the ecological health of water bodies. Therefore, temperature sensor 401 can help monitor the hot and cold stratification of water bodies, thereby providing support for scour and sedimentation analysis. The model can use YSI ProDSS temperature sensor 401, which has the advantages of high stability and anti-interference. It can work stably under different environmental conditions, ensuring accurate data in changing water conditions, and has a wide range of adaptability. It can simultaneously monitor multiple water quality indicators such as water temperature, dissolved oxygen, and pH value. The turbidity sensor 402 is used to detect the turbidity of the water body. Since turbidity is an indicator of the clarity of the water body, it is affected by suspended matter, silt and biological particles in the water body. High turbidity is usually associated with water flow changes, scouring and siltation. Therefore, by monitoring the turbidity changes, the degree of pollution of the water area or the change of the natural environment can be determined; the Hach 2100Q turbidity meter model can be used. This model is widely used in environmental monitoring and can quickly measure the turbidity of the water body through light scattering technology. It is widely used in water quality detection and pollution control; Salinity sensor 403 is used to detect the salinity of water bodies. Salinity is the concentration of dissolved salt substances in water bodies, which affects the density, buoyancy and survival of biological populations of water bodies. Especially in marine or saltwater environments, changes in salinity have an important impact on the physical properties of water flow and the process of scouring and sedimentation; the specific model that can be used is SEABIRD SBE 37-SM MicroTemperature / Salinity Recorder, which is a more advanced salinity sensor 403 in the field of water quality monitoring. It has the characteristics of high measurement accuracy and can provide stable and reliable data in different water environments. It is especially suitable for seawater monitoring and hydrological research. The device adopts advanced sensing technology, has low power consumption, long-term stability and high sensitivity, is suitable for long-term use and simple maintenance.

[0026] Please see attached Figure 1 , Figure 2 , Figure 4 and Figure 5 The top of the outer wall of the pillar 1 is fixedly connected with a cover 8, and a floating plate 9 is slidably connected inside the cover 8. The sonar depth sounder 3 is installed in the middle of the floating plate 9. The outer wall of the floating plate 9 is fixedly connected with a card block 10, and the inner wall of the cover 8 is provided with a card slot, and the card block 10 is engaged in the card slot.

[0027] In this embodiment, after the device is placed in water, the sonar depth sounder 3 is installed on the floating plate 9. At this time, water can enter the cover shell 8 along the opening at the bottom of the cover shell 8, so that the floating plate 9 floats. By utilizing the buoyancy of the floating plate 9, the sonar depth sounder 3 can be located at the water surface, and then the distance between the water surface and the bottom of the water, that is, the water depth information, can be tested. When the liquid level on the water surface changes, the floating plate 9 will drive the sonar depth sounder 3 and the card block 10 to slide along the card slot, thereby achieving the purpose of real-time monitoring of the water level.

[0028] Please see attached Figure 1 and Figure 2 An extension plate 6 is provided on the outer wall of the base 2 , a slot 7 is provided on the bottom of the side wall of the base 2 , and the extension plate 6 is located inside the slot 7 .

[0029] In this embodiment, the extension plate 6 is taken out, and then the extension plate 6 is inserted into the slot 7, and finally the extension plate 6 is fixed in the slot 7 with bolts, and then the support 1 is connected to the base 2 and installed in water, so that the floor space of the base 2 can be extended, the stability of the base 2 can be improved, and the stability and safety of the device in long-term use can be enhanced.

[0030] Please see attached Figure 1 and Figure 2 A photovoltaic panel 11 is installed on the top of the pillar 1, and a battery 12 is installed on the inner top of the pillar 1, which is used to receive the electricity generated by the photovoltaic panel 11 and supply it to the sensor group 4, the sonar depth sounder 3, the water flow Doppler speed meter 13 and the controller 5.

[0031] In this embodiment, the photovoltaic panel 11 can be used to convert sunlight into electrical energy, and the battery 12 can be used to store the electricity, thereby supplying power to the sensor group 4, the water flow Doppler velocimeter 13, the sonar depth sounder 3 and the controller 5 inside the device.

[0032] The controller 5 includes: a receiving unit for receiving detection data from the sensor group 4, the sonar depth sounder 3, and the water flow Doppler velocimeter 13; a processing unit for preprocessing the data; a calculation unit for analyzing and calculating the preprocessed data and generating a hydrological information evaluation result of the monitoring area; and a transmission unit for transmitting the evaluation result to the shore service center.

[0033] Working principle: When in use, first take out the extension plate 6, then insert the extension plate 6 into the slot 7, and finally fix the extension plate 6 in the slot 7 by bolts, and then connect the support 1 to the base 2 and install it in water; The light can then be converted into electricity through the photovoltaic panel 11 and stored in the battery 12, which then powers the sonar depth sounder 3, the sensor group 4, the water flow Doppler velocimeter 13 and the controller 5; The sonar depth sounder 3 is installed on the floating plate 9. After the device enters the water, water can enter the housing 8 along the opening at the bottom of the housing 8 and contact the floating plate 9. The buoyancy of the floating plate 9 can support the sonar depth sounder 3 so that it is at the water surface, and then the distance between the water surface and the bottom of the water, that is, the water depth information, can be tested. When the liquid level of the water surface changes, the floating plate 9 will drive the sonar depth sounder 3 and the card block 10 to slide along the card slot, thereby achieving the purpose of real-time monitoring of the water level. The water flow Doppler velocimeter 13 can be used to detect the flow velocity and flow direction of the water flow. At the same time, the temperature sensor 401 can be used to obtain the temperature of the water body, the turbidity sensor 402 can be used to obtain the turbidity information of the water body, and the salinity sensor 403 can be used to obtain the salinity information of the water body. Subsequently, the receiving unit receives the detection data of the sensor group 4, the sonar depth sounder 3, and the water flow Doppler velocimeter 13, and then the processing unit pre-processes the data. Finally, the calculation unit analyzes and calculates the pre-processed data and generates the hydrological information evaluation results of the monitoring area. At the same time, the transmission unit transmits the evaluation results to the shore service center. At this time, the shore service center can display the evaluation results and detection data in real time, and display the dynamic changes of the water area through a virtual three-dimensional model, intuitively displaying the water flow state, bank slope changes and potential scouring or siltation areas. According to the evaluation results, the system can automatically mark abnormal areas and trigger the early warning mechanism to remind management personnel to take timely countermeasures, thereby effectively preventing possible risks and ensuring the long-term stability and safety of bank slope facilities. At the same time, the accumulation and analysis of historical data can be used to optimize the monitoring model and improve the accuracy of future predictions.

[0034] Embodiment 2: This embodiment provides an identification method based on the above device, including the following steps: Data collection: real-time monitoring of water environment parameters; In this embodiment, data collection is performed through multiple sensors, covering environmental parameters such as water temperature, turbidity, salinity, water depth, and water flow speed and direction. Specifically, the sensor group 4 includes a temperature sensor 401, a turbidity sensor 402, and a salinity sensor 403, which respectively monitor the temperature, turbidity, and salinity of the water body and provide basic information about the water quality. The sonar depth sounder 3 is used to measure the water depth and calculate the depth of the water body through the propagation of sound waves and the reflection of echoes. The water flow Doppler velocimeter 13 uses the principle of the Doppler effect to measure the speed and direction of the water flow; In some embodiments, the sensor can monitor multiple environmental parameters simultaneously and transmit them to the controller 5 in real time for subsequent processing. For example, the water temperature sensor continuously monitors the temperature changes of the water body and promptly reflects the fluctuations of the water environment. The turbidity sensor 402 uses optical principles to emit and receive light beams to detect the scattering or absorption of light by particles in the water body. The calculation of turbidity is based on the influence of suspended particles in the water on light, and the relevant formula is expressed as: ; in, is the turbidity, is the power of light reflected from the water body, is the power of light emitted into the water body. Through this formula, the turbidity changes of the water area can be monitored in real time, and accurate basic data can be provided for subsequent data analysis.

[0035] In another embodiment, the water flow Doppler velocimeter 13 measures the speed and direction of the water flow through high-frequency sound waves. The speed and direction of the water flow are calculated based on the Doppler effect. When the water flow speed changes, the frequency of the reflected wave will shift, thereby calculating the speed of the water flow. The calculation formula of the Doppler effect is: ; in, is the Doppler shift, is the water flow velocity, is the speed of sound waves in water, is the frequency of the transmitted signal. Through this frequency shift value, the water flow velocity can be accurately calculated, thereby obtaining the flow direction and flow velocity of the water flow.

[0036] At the same time, the sonar depth sounder 3 calculates the water depth through the propagation time of the sound wave. The time difference between the sound wave being emitted and the echo being received is directly related to the water depth. The formula is: ; in, For water depth, is the speed of sound waves in water, This method can provide high-precision water depth measurement in various water environments.

[0037] Generally, the data from all these sensors will be received by the control system and processed synchronously. The data acquisition process of each sensor is periodic, which can not only evaluate the current state of the water area in real time, but also provide timely and effective data support for subsequent scour and siltation prediction, anomaly detection and other functions.

[0038] As an option, the frequency of data collection can be dynamically adjusted according to the changing conditions of the water area. For example, in a strong tidal area, the system can automatically adjust the time interval for data collection according to the tidal cycle to obtain more water flow change data. Through this intelligent adjustment, the system can adapt to the environmental conditions of different waters and conduct more accurate monitoring.

[0039] In one possible implementation, data collection also supports wireless transmission, which facilitates remote real-time monitoring. Wireless communication technology can transmit data in areas far from the shore, ensuring efficient real-time data collection in inaccessible waters, meeting a wide range of application needs.

[0040] Therefore, by collecting key parameters of the water environment, reliable basic data can be provided for subsequent analysis, calculation, prediction and decision-making.

[0041] Data preprocessing: preprocess water environment parameters, including denoising, filtering, and outlier removal; In this embodiment, in order to ensure the accuracy and validity of the data, all the raw data collected from the sensor group 4, the sonar depth sounder 3 and the water flow Doppler velocimeter 13 need to be preprocessed. Data preprocessing is used to remove noise, filter, and remove abnormal values, so as to ensure the quality of the data transmitted to the subsequent data and avoid the influence of erroneous calculation results on the prediction analysis of scour and sedimentation.

[0042] In this embodiment, the data preprocessing step includes denoising, filtering, and outlier removal. First, the data collected by the sensor may be affected by changes in the external environment, resulting in noise in some data. De-noising technology improves the accuracy of the data by filtering out these noises. For example, a water temperature sensor may be affected by thermal noise when the water temperature changes dramatically. De-noising can reduce these interferences through algorithms such as Kalman filtering to obtain more stable data.

[0043] In some embodiments, the Kalman filter algorithm may be used in the denoising process. Kalman filtering is a recursive filtering algorithm based on a state space model that calculates the optimal estimate by weighting the observed values. Specifically, Kalman filtering is processed according to the following formula: ; in, Indicates The estimated state value at time Indicates The estimated state value at time is the Kalman gain, For the The observed value at time, is the observation matrix. By comparing the data collected each time with the historical state, Kalman filtering can effectively reduce the random noise in the measurement and improve the data quality.

[0044] Specifically, filtering is the process of removing high-frequency noise by smoothing the signal frequency. Filtering technology is often used to remove frequency fluctuations in sensor data caused by external environmental noise. Common filtering methods include low-pass filtering, high-pass filtering, and band-pass filtering. For example, in the application of sonar depth sounders 3, low-frequency noise may cause unstable water depth data. Therefore, a low-pass filter can be used to smooth the measurement data to ensure stable output of water depth data.

[0045] As an option, the outlier removal process will filter the sensor data according to a preset threshold. When some of the collected data values ​​are significantly deviated from the normal range (such as the water flow velocity is much higher or lower than the preset threshold), these data will be removed or replaced. For example, the water flow Doppler velocimeter 13 may collect abnormal water flow data due to sensor errors under extreme weather conditions. The preset outlier removal algorithm can remove these unrealistic outliers by comparing with historical data.

[0046] In one possible implementation, the algorithm for outlier removal is based on statistical methods, such as outlier detection based on mean and standard deviation. By calculating the mean and standard deviation of parameters such as water temperature and turbidity over a period of time and setting a reasonable threshold, any measurement value outside this range can be regarded as an outlier and removed. This method is particularly effective when processing long-term monitoring data, and can effectively reduce data errors caused by factors such as sensor failure and changes in the external environment.

[0047] Generally, all processing steps in the data preprocessing phase are completed in a short time, and these steps are performed in parallel with data collection to ensure the real-time and high efficiency of the system. After denoising, filtering and outlier removal, the preprocessed data will be immediately transmitted to the computing unit for subsequent analysis. Through this series of data cleaning and optimization processing, subsequent analysis processes such as scour and siltation prediction and anomaly detection can be based on accurate data to avoid erroneous prediction results due to data quality issues.

[0048] Therefore, preprocessing can effectively improve the accuracy and reliability of monitoring data, providing a solid foundation for subsequent hydrodynamic simulation, scour and sedimentation prediction, 3D model display, etc. At the same time, preprocessed data can reduce the impact of errors caused by external interference, ensuring the long-term stable operation and accurate analysis of the entire monitoring system.

[0049] Simulate water flow conditions based on hydrodynamic models and water environment parameters, analyze the scouring force of water flow on the dock slope and the movement trend of sediments, predict potential scouring or siltation areas, and generate hydrological information assessment results; In this embodiment, by combining the hydrodynamic model with the water environment parameters, the water flow state is simulated and the scouring force of the water flow on the bank slope and the movement trend of the sediment are analyzed. It is used to predict the potential scouring or silting areas in the water area and provide scientific basis and decision support for the design and maintenance of dock facilities.

[0050] Specifically, based on the calculation of the hydrodynamic model and the input of water environment parameters, it is possible to simulate the water flow state, evaluate the scouring force of the water flow on the dock slope, and predict the movement trend of sediments. Specifically, the hydrodynamic model uses parameters such as water flow velocity, flow direction, viscosity, sediment particle size and water depth to calculate the interaction between the water flow and the slope and generate the water flow force field. These models can describe the behavior of water flow, such as flow velocity, shear stress and its impact on the slope structure.

[0051] As an option, the interaction between the flow and the bank slope can be modeled using the Navier-Stokes equations. This equation is widely used to describe the motion of incompressible fluids. In this approach, the Navier-Stokes equations can be expressed as: ; in, is the fluid velocity field, in m / s, is the rate of change of fluid velocity field with time, is the fluid density in kg / m 3 ; is the pressure of the fluid, in Pa; g is the acceleration due to gravity, in m / s 2 ; is the kinematic viscosity coefficient of the fluid, in m 2 / s; is the Laplace operator of the velocity field, describing the diffusion effect of the fluid; It is the rate of change of the fluid velocity field and is used in fluid mechanics to analyze the shear, rotation and expansion effects of the fluid; It is the source of the pressure gradient force, which determines how the fluid moves under the pressure in fluid dynamics.

[0052] In practice, this equation is used to solve the velocity field and flow state of the water flow, and then calculate the shear stress of the water flow on the bank slope and estimate the scouring force of the water flow. Through these calculations, the influence of the water flow on the bank slope can be obtained, and basic data can be provided for predicting the scouring and siltation areas.

[0053] Specifically, the scouring force of water flow on the dock slope can be estimated by the following formula: ; in, Used to characterize the scouring intensity of water flow on the dock slope, the unit is N / m 2 ; It is a dimensionless empirical coefficient, which is affected by factors such as topography, water viscosity, and sediment characteristics, and can be determined based on experimental data or engineering experience; is the water flow velocity, in m / s, indicating the magnitude of the water flow velocity acting on the pier slope; It is the water depth or characteristic length in meters, which is used to characterize the depth of the water body near the wharf or the characteristic scale of the slope.

[0054] This formula shows that the scouring capacity of the dock slope increases with the square of the water flow velocity and is also affected by the water depth. This formula is applicable to ports and dock environments with strong hydrodynamics.

[0055] In another embodiment, the movement trend of sediment is predicted by analyzing the speed and direction of water flow. The movement of sediment is not only affected by the water flow speed, but also by factors such as the size and shape of particles in the water body and the viscosity of the water. According to the sediment settling model in physics, the sediment settling rate It can be expressed by the following formula: ; in, is the sedimentation rate (or net scouring rate), in m / s, which indicates the sedimentation or net scouring speed of sediment or suspended particles in the dock slope area; The sediment settling velocity, in m / s, is used to describe the sediment settling velocity of sediment particles in still water. Its size is related to the particle size, density and water viscosity. It is a dimensionless empirical coefficient and can be determined by experiment or theoretical calculation; It is the water flow velocity in m / s, which is used to characterize the sediment transport characteristics under the action of water flow.

[0056] This formula shows that the deposition rate increases with the flow rate. The formula is applicable to the prediction of deposition or scouring under different hydrodynamic conditions.

[0057] In general, all these calculation results will be adjusted according to the dynamic environmental changes of the actual water area to ensure that the model can reflect the interaction between water flow and bank slope in real time. By combining the calculation results of the hydrodynamic model with real-time monitoring data, the system can dynamically update the prediction results and identify potential scour and siltation areas in a timely manner.

[0058] As an option, based on the simulation results, the system can also display the predicted scour and siltation areas in a 3D virtual model, visually displaying the water flow state and bank slope changes to help managers accurately determine the scour risk areas. The dynamic update of the 3D model can provide accurate predictions for future changes in the water environment, thereby providing support for bank slope maintenance and facility construction.

[0059] In summary, by combining the simulation analysis of hydrodynamic models and water environment parameters, it is possible to accurately predict the scouring force of water on the slope and the movement trend of sediments, timely identify potential scouring or siltation areas, and provide a scientific basis for slope protection and water area management, thereby improving the safety and maintenance efficiency of equipment and ensuring the long-term stable operation of the dock slope.

[0060] Data transmission: Transmit hydrological information assessment results to the shore service center; The three-dimensional model is used to simulate and display the water environment parameters and hydrological information assessment results, showing the water flow status and bank slope changes, and highlighting abnormal areas.

[0061] In this embodiment, in order to ensure that the water monitoring system can provide real-time feedback and response, the system can transmit the real-time evaluated hydrological information to the shore service center through an efficient data transmission mechanism, and further use the three-dimensional model to simulate and display the environmental changes of the water area. Not only can the water flow state and the changes in the bank slope be displayed in real time, but also abnormal areas can be marked in time, providing accurate and clear decision support for managers.

[0062] Specifically, data transmission is responsible for transmitting the hydrological information assessment results generated by hydrodynamic model calculations and environmental parameter analysis to the onshore service center in real time. Specifically, the assessment results include key information such as water flow velocity, flow direction, scouring force, sediment movement trend, and potential scouring and siltation areas. Data transmission uses wireless communication technology or wired network to ensure the stability and real-time performance of data transmission.

[0063] In some embodiments, the transmission method can be flexibly selected according to the location and environmental conditions of the water area. For example, in areas close to the shore, wireless communication (such as Wi-Fi, 4G / 5G, etc.) can be used, while in areas far from the shore or in deep water, data transmission can be carried out through satellite communication or dedicated radio communication links. This design can ensure that the system can work stably in various environments, ensure that data is not lost, and provide comprehensive information to the shore service center under real-time monitoring.

[0064] Specifically, the data received by the shore service center will be displayed in real time, and the water environment parameters and hydrological information assessment results will be simulated and displayed using a three-dimensional model. These displays include water flow conditions, bank slope changes, potential scouring and siltation areas, etc. All of these contents will be presented to managers visually. Through the three-dimensional visualization model, managers can intuitively observe the changes in water flow conditions and bank slopes, and quickly identify possible scouring and siltation areas.

[0065] In one possible implementation, the markers of abnormal areas are highlighted by color changes or shape changes. For example, when the water flow velocity exceeds the set threshold, or the water depth changes abnormally, the system will automatically highlight these abnormal areas to remind managers to pay attention and take corresponding preventive measures. The system can use different colors or marker shapes to distinguish the severity of potential risks according to different warning levels, helping managers to respond quickly.

[0066] At the same time, the display of the 3D model will be dynamically updated based on a combination of real-time data and historical data, which can ensure that managers have a comprehensive understanding of changes in the water area. For example, as the water flow and water quality change, the model will update the speed, direction, temperature, salinity and other environmental parameters of the water flow in real time to form a dynamic water environment model. Through this real-time update, the system can provide managers with accurate monitoring data and predict future trends, helping to prevent and respond to possible water flow risks.

[0067] As an option, the system can also combine meteorological data and hydrological forecast data to predict future changes in water flow and bank slopes, which can further enhance early warning capabilities and take protective measures in advance. When abnormal water flow or climate change occurs, the system can automatically push forecast information and display possible risk areas in the future through a three-dimensional model to help managers make more reasonable decisions.

[0068] Therefore, in summary, through efficient data transmission and 3D model display functions, the hydrological information assessment results can be transmitted to the onshore service center in real time, and the water flow status, bank slope changes and potential risk areas can be intuitively displayed through 3D visualization. By highlighting abnormal areas and dynamically updating data, managers can respond to changes in the water environment in a timely manner to ensure the safety and stability of bank slope facilities. At the same time, the system can also use historical data combined with future predictions to provide support for long-term water management and decision-making.

[0069] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. The dock slope erosion and siltation monitoring equipment is characterized by: include: A support (1) having a base (2) installed at the bottom thereof for supporting the support (1); A sonar depth sounder (3) mounted on the top of the outer wall of the support (1) for detecting the water level depth; A water flow Doppler velocimeter (13), which is installed at the bottom of the outer wall of the support (1) and is used to detect the flow velocity and flow direction of the water flow; A sensor group (4) mounted on the middle of the outer wall of the support (1) for detecting the temperature, turbidity and salinity of the water flow; A controller (5) mounted on the inner top of the support (1) and used to receive and calculate information from the sensor group (4), the sonar depth sounder (3) and the water flow Doppler velocity meter (13); The controller (5) internally comprises: A receiving unit, used for receiving detection data from the sensor group (4), the sonar depth sounder (3), and the water flow Doppler velocity meter (13); A processing unit, used for preprocessing data; A calculation unit is used to analyze and calculate the pre-processed data and generate a hydrological information evaluation result of the monitoring area; Transmission unit, used to transmit the evaluation results to the shore service center.

2. The dock slope erosion and siltation monitoring device according to claim 1 is characterized in that: The sensor group (4) comprises: A temperature sensor (401) for monitoring the temperature of the water body; A turbidity sensor (402) for detecting the turbidity of a water body; The salinity sensor (403) is used to detect the salinity of the water body.

3. The dock slope erosion and siltation monitoring device according to claim 1 is characterized in that: The top of the outer wall of the support (1) is fixedly connected to a cover shell (8), the interior of the cover shell (8) is slidably connected to a floating plate (9), and the sonar depth sounder (3) is mounted in the middle of the floating plate (9).

4. The dock slope erosion and siltation monitoring device according to claim 3 is characterized in that: A clamping block (10) is fixedly connected to the outer wall of the floating plate (9), and a clamping groove is provided on the inner wall of the cover shell (8), and the clamping block (10) is clamped in the clamping groove.

5. The dock slope erosion and siltation monitoring device according to claim 1 is characterized in that: An extension plate (6) is provided on the outer wall of the base (2), a slot (7) is provided at the bottom of the side wall of the base (2), and the extension plate (6) is located inside the slot (7).

6. The dock slope erosion and siltation monitoring device according to claim 2 is characterized in that: A photovoltaic panel (11) is installed on the top of the pillar (1), and a storage battery (12) is installed on the inner top of the pillar (1) for receiving electricity generated by the photovoltaic panel (11) and supplying it to the sensor group (4), the sonar depth sounder (3), the water flow Doppler velocimeter (13) and the controller (5).

7. A dock slope scouring and silting monitoring and identification method, based on the dock slope scouring and silting monitoring device according to any one of claims 1 to 6, characterized in that: The following steps are involved: Data collection: real-time monitoring of water environment parameters; Data preprocessing: preprocessing water environment parameters, including denoising, filtering, and outlier removal; Simulate water flow conditions based on hydrodynamic models and water environment parameters, analyze the scouring force of water flow on the dock slope and the movement trend of sediments, predict potential scouring or siltation areas, and generate hydrological information assessment results; Data transmission: Transmit hydrological information assessment results to the shore service center; The three-dimensional model is used to simulate and display the water environment parameters and hydrological information assessment results, showing the water flow status and bank slope changes, and highlighting abnormal areas.

8. The dock slope erosion and siltation monitoring and identification method according to claim 7 is characterized in that: The environmental parameters include water temperature, turbidity, salinity, water depth, water flow velocity and flow direction.

9. The dock slope scouring and silting monitoring and identification method according to claim 7 is characterized in that: In the simulated water flow state, safety thresholds for scour and siltation are set. When the water flow velocity, flow direction, water depth change rate or sediment movement trend exceeds the set threshold, the area is marked as a potential abnormal area and an early warning mechanism is triggered.

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