Plug flow pool gallery sludge total amount monitoring device and calculation method thereof

Abstract

The invention provides a plug flow pool gallery sludge total amount monitoring device and a calculation method thereof, and the device comprises a flow velocity monitoring structure which is used for measuring the flow velocity of different point positions in a plug flow pool gallery and the corresponding measurement position interval; the data transmission unit is connected with the flow velocity monitoring structure and is used for transmitting data measured by the flow velocity monitoring structure to the sludge total amount calculation unit; and the sludge total amount calculation unit is in communication connection with the data transmission unit and is used for receiving the data and calculating the sludge total amount of the plug flow pool gallery AB section according to the data. By applying the technical scheme of the application, the problems of accurately monitoring the sludge amount of the gallery of the plug flow pool and timely early warning and cleaning in the prior art can be effectively solved.

Description

Technical Field

[0001] This invention relates to the field of wastewater treatment technology, and in particular to a device for monitoring the total amount of sludge in a plug flow tank corridor and its calculation method. Background Technology

[0002] In the current field of wastewater treatment technology, plug flow tanks, as an important facility in the wastewater treatment process, are widely used in various wastewater treatment projects. Plug flow tanks generate water flow through a flow generator, causing sediment or sludge in the wastewater to move in a certain direction, thereby achieving the purpose of removing or reducing sediment. However, existing plug flow tank monitoring technologies have significant limitations in monitoring the amount of sludge within the channel.

[0003] Specifically, traditional methods often rely on periodic manual inspections or experience-based estimations to determine the accumulation of silt in the channel. This method is not only time-consuming and labor-intensive, but also inaccurate, making it difficult to monitor the dynamic distribution of silt in the channel in real time. Furthermore, manual monitoring is difficult to conduct continuously, and there is a lack of timely early warning mechanisms for increases in silt volume, which may lead to reduced treatment efficiency of the plug flow tank, or even blockage of the channel, affecting the normal operation of the plug flow tank.

[0004] In the operation and maintenance of modern wastewater treatment plants, accurate monitoring and timely cleaning of sludge in the plug flow tank channel are crucial. This is essential to ensure the treatment efficiency of the plug flow tank and to avoid additional maintenance costs caused by sludge accumulation. However, the market currently lacks a device capable of real-time, continuous, and accurate monitoring of the total amount of sludge in the plug flow tank channel, particularly in terms of the ability to accurately assess and provide early warnings of changes in sludge volume during plug flow tank operation.

[0005] In summary, the existing technologies for monitoring sludge volume in plug flow tanks have the following main problems: 1. Low monitoring accuracy: Relying on manual operation, it is impossible to ensure the consistency and accuracy of monitoring results each time.

[0006] 2. Limited monitoring frequency: Manual monitoring makes it difficult to achieve continuous monitoring, resulting in poor real-time response capability to changes in silt volume.

[0007] 3. Lack of early warning mechanism: Without an effective automatic early warning system, it is difficult to take timely measures when the amount of silt approaches the threshold.

[0008] 4. High maintenance costs: Regular manual inspections are not only time-consuming, but may also increase unnecessary maintenance costs due to missed inspections or misdiagnosis. Summary of the Invention

[0009] One aspect of this application provides a device for monitoring the total amount of silt in a plug flow channel, comprising: a flow velocity monitoring structure for measuring the flow velocity v at different points in the plug flow channel and its corresponding measurement interval dx; a data transmission unit connected to the flow velocity monitoring structure for transmitting the data measured by the flow velocity monitoring structure to a total silt calculation unit; and a total silt calculation unit communicatively connected to the data transmission unit for receiving the data and calculating the total amount of silt in section AB of the plug flow channel based on the data.

[0010] Furthermore, the total sludge calculation unit calculates the energy balance of the water flow based on the power and efficiency parameters of the impeller.

[0011] Furthermore, the total silt calculation unit receives the water flow density ρ and the gravitational acceleration g to calculate the water flow potential energy.

[0012] Furthermore, the total silt calculation unit considers the friction head loss hf and local head loss hj in the total head loss to assess energy loss.

[0013] One aspect of this application provides a method for calculating the total amount of silt in a plug flow channel, comprising the following steps: S1 Fixed-point flow velocity measurement: The flow meter measures the flow velocity at the first measurement point and obtains flow velocity data v1. After the measurement is completed, the calculation module controls the traction motor to start and drag the flow meter to move. After moving a distance of dx, the flow meter reaches the second measurement point and then measures the flow velocity at that point to obtain flow velocity data v2. The traction motor continues to drag the flow meter to the third measurement point, and the flow meter simultaneously completes the flow velocity measurement at the third measurement point and records the data v3. This process is repeated until the flow velocity measurement task for the entire AB segment is completed. S2 Import Calculation Module: Imports the measured series of flow velocity data (v1, v2, v3...v...) x The parameters such as the moving distance dx are entered into the calculation module, and the calculation module performs subsequent result calculations. The calculation module substitutes the data into formula (15) to obtain the total amount of silt. The total amount of silt calculation module uses the integral calculation method in the following formula (15) to estimate the total amount of silt:

[0014] Furthermore, the total silt calculation module models the hydraulic characteristics based on the corridor's length L, water depth H, and width b.

[0015] Furthermore, the total silt calculation module uses the roughness n of the corridor to adjust the flow velocity calculation formula.

[0016] Furthermore, the total silt calculation module incorporates the bending radius rC of the bend in the calculation to assess the head loss at the bend.

[0017] Furthermore, the total silt calculation module adopts a specific calculation method for the hydraulic radius R and optimizes the head loss calculation by correlating it with the friction coefficient λ.

[0018] Furthermore, the total silt calculation module uses the local head loss coefficient ζ to estimate the flow loss in the bend.

[0019] Furthermore, the flow velocity monitoring structure implements a multi-point continuous monitoring strategy.

[0020] Furthermore, the total sludge calculation module uses the integral calculation method in the formula to estimate the total sludge volume.

[0021] Furthermore, the device's workflow includes sequentially performing flow rate monitoring, data transmission, and total sludge calculation.

[0022] Furthermore, the device implements online monitoring, collecting and analyzing data in real time.

[0023] The total sludge monitoring device for the plug flow pool corridor provided in this application effectively improves the accuracy of total sludge monitoring through precise measurement and scientific calculation, reduces the need for manual intervention, and ensures the safety and economy of plug flow pool operation.

[0024] The practical application of this device can significantly improve the operational efficiency of wastewater treatment plants, reduce maintenance costs, and has positive implications for environmental protection and water resource management.

[0025] Real-time monitoring and data analysis can provide early warnings of siltation problems, avoid potential impacts on the function of the plug flow tank, and ensure the continuous stability of the sewage treatment process. Attached Figure Description

[0026] Figure 1 This is a schematic cross-sectional view of the flow tank corridor in one embodiment of the present invention; Figure 2 This is a top view of the flow channel in one embodiment of the present invention; Detailed Implementation To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.

[0027] Therefore, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the invention without inventive effort are within the scope of protection of the invention.

[0028] It should be noted that, unless otherwise specified, the embodiments and features described in this invention can be combined with each other.

[0029] It should be noted that similar labels and letters in the following figures indicate similar items. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.

[0030] In the description of this invention, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, or the orientation or positional relationship commonly used when the product of this invention is in use, or the orientation or positional relationship commonly understood by those skilled in the art. They are only used for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of this invention. In addition, the terms "first," "second," etc., are only used to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0031] In the description of this invention, it should also be noted that, unless otherwise explicitly specified and limited, the terms "set," "install," "connect," and "link" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0032] like Figures 1-2 As shown: This application provides a device for monitoring the total amount of sludge in a plug flow channel, comprising: a flow velocity monitoring structure for measuring the flow velocity at different points in the plug flow channel and the corresponding measurement intervals; a data transmission unit connected to the flow velocity monitoring structure for transmitting the data measured by the flow velocity monitoring structure to a total sludge calculation unit; and a total sludge calculation unit communicatively connected to the data transmission unit for receiving data and calculating the total amount of sludge in section AB of the plug flow channel based on the data.

[0033] By applying the technical solution of this embodiment, the sludge volume monitoring device for the power flow tank channel can effectively solve the problem of accurately monitoring the sludge volume in the power flow tank channel and providing timely early warning and cleaning in the prior art. Based on the flow velocity monitoring structure, the device measures the flow velocity at different points in the power flow tank channel and the corresponding measurement intervals. This data is then sent to the sludge volume calculation unit through the data transmission unit. After receiving the data from the flow velocity monitoring structure, the sludge volume calculation unit calculates the total sludge volume of the channel AB section according to the hydraulic principles of the power flow tank. Specifically, using parameters such as flow velocity, water depth, channel width, length, and the power and efficiency of the power flow generator, a calculation formula for sludge thickness is derived, and then the volume of sludge is calculated. The principle of this device is to indirectly obtain the sludge accumulation by measuring the change in flow velocity while ensuring that parameters such as flow velocity and water depth remain constant, thus realizing non-contact, real-time monitoring of the sludge volume in the power flow tank channel. Compared to traditional manual inspection or indirect estimation, this solution improves the accuracy and reliability of sludge monitoring, enables timely early warning and cleaning, avoids reduced efficiency and increased maintenance costs in the plugging pool due to sludge accumulation, and ensures the stable operation of the plugging pool system.

[0034] Furthermore, in this embodiment, the total sludge calculation unit calculates the energy balance of the water flow based on the power and efficiency parameters of the impeller.

[0035] In this embodiment, the monitoring device integrates an online flow velocity monitoring module, a data transmission module, and a total sludge calculation module. The monitoring device continuously collects flow velocity data within the flow channel of the propeller pool, combining the channel's geometric parameters with the propeller's power and efficiency parameters to achieve accurate assessment of the total sludge volume. Specifically, the online flow velocity monitoring module measures the flow velocity vx at different points and records the distance dx between each measurement point; subsequently, the data transmission module transmits this information to the total sludge calculation module. According to formula (15), the calculation module analyzes the hydrodynamic characteristics determined by parameters such as propeller efficiency η, power P, net water depth H, channel width b, channel length L, channel roughness n, and bending radius RC, and then calculates the sludge depth H1 at the corresponding point. By integrating the sludge depth data from the entire monitoring interval A to B, the calculation module uses an integral method to accurately calculate the total sludge volume t of that section of the channel. This technical solution not only provides real-time feedback on sludge accumulation but also guides maintenance work, avoiding potential reductions in water treatment efficiency. In other embodiments not shown, the monitoring device may also employ more advanced flow velocity sensing technology and optimized data processing algorithms to further improve monitoring accuracy and response speed.

[0036] Furthermore, in this embodiment, the total sludge calculation unit further receives the water flow density ρ and the gravitational acceleration g to calculate the water flow potential energy.

[0037] In this embodiment, the total sludge calculation unit further receives the water flow density ρ and gravitational acceleration g to calculate the water flow potential energy. The monitoring device monitors the flow velocity vx and measurement position interval dx at different points in the pusher pool channel through an online flow meter, and transmits this information to the calculation unit through a data transmission unit. The calculation unit combines formula (15) and uses the received pusher power P, efficiency η, channel geometric parameters such as width b, length L, net water depth H, and channel roughness n, as well as the water flow density ρ and gravitational acceleration g, to calculate the total sludge t of the AB section of the pusher pool channel. This design ensures that the monitoring device can accurately assess the sludge condition of the channel, thereby providing a scientific basis for the maintenance and management of the pusher pool. In other embodiments not shown, the calculation unit can integrate more complex algorithms to adapt to different pusher pool environments and conditions, further improving the accuracy and reliability of total sludge monitoring.

[0038] Furthermore, in this embodiment, the total sludge calculation unit also considers the friction head loss h_f and the local head loss h_j in the total head loss to assess energy loss.

[0039] A method for calculating the total amount of silt in a plug flow pool channel includes the following steps: S1 Fixed-point flow velocity measurement: The flow meter measures the flow velocity at the first measurement point and obtains flow velocity data v1. After the measurement is completed, the calculation module controls the traction motor to start and drag the flow meter to move. After moving a distance of dx, the flow meter reaches the second measurement point and then measures the flow velocity at that point to obtain flow velocity data v2. The traction motor continues to drag the flow meter to the third measurement point, and the flow meter simultaneously completes the flow velocity measurement at the third measurement point and records the data v3. This process is repeated until the flow velocity measurement task for the entire AB segment is completed. S2 Import Calculation Module: Imports the measured series of flow velocity data (v1, v2, v3...v...) x The parameters such as the moving distance dx are entered into the calculation module, and the calculation module performs subsequent result calculations. The calculation module substitutes the data into formula (15) to obtain the total amount of silt. The total amount of silt calculation module uses the integral calculation method in the following formula (15) to estimate the total amount of silt:

[0040] In this embodiment, the sludge total volume monitoring device for the plug flow tank integrates an online flow velocity monitoring module, a data transmission module, and a sludge total volume calculation module, which work together to assess the sludge accumulation status in the plug flow tank system. The core of the device lies in the application of the following formula:

[0041] The flow velocity v at different points in the corridor is monitored in real time using a flow meter. _xAnd the measurement position interval dx, combined with the known thruster power P, efficiency η, net water depth H, gallery width b, gallery length L, hydraulic radius R C The roughness n of the corridor can be used to calculate the silt thickness H online. The head loss along the friction h_ f With local head loss h_ j The calculations not only reflect the overall picture of water flow energy loss, but also ensure the accuracy of silt thickness measurement. The overall solution enables real-time monitoring and calculation of silt volume, effectively improving the operational efficiency and maintenance management of the plugging pool channel, avoiding the decrease in water flow velocity and energy waste caused by silt accumulation, and providing important data support for the optimization and maintenance of the plugging pool system.

[0042] Furthermore, in this embodiment, the total silt calculation module performs hydraulic characteristic modeling based on the corridor length L, water depth H, and width b.

[0043] In this embodiment, the monitoring device achieves an effective estimation of the total silt volume by accurately modeling the hydraulic characteristics of the flow channel. Specifically, the device first uses an online flow velocity monitoring module to collect flow velocity data and corresponding measurement location information at key points within the channel. Subsequently, a data transmission module ensures that this information is transmitted to the silt volume calculation module in a timely and accurate manner. Based on parameters such as the channel length L, net water depth H, and width b, and combined with formulas 13 and 14, the calculation module scientifically calculates the silt thickness H1 at each measurement point. Then, using the following formula: The total volume of silt in section AB of the channel is obtained by integrating the data. This process considers not only the velocity and energy loss of the water flow but also the geometric characteristics of the channel, such as the influence of the hydraulic radius RC and the channel roughness n, to ensure the accuracy of the calculation results. Ultimately, the device can continuously monitor and update the silt accumulation in the plug flow pool channel in real time, providing strong data support for maintenance and management. In an embodiment not shown, the calculation module can also adjust the calculation model according to additional environmental factors, further improving the accuracy and adaptability of silt total volume monitoring.

[0044] Furthermore, in this embodiment, the total sludge calculation module uses the roughness n of the corridor to adjust the flow velocity calculation formula.

[0045] In this embodiment, the sludge total amount calculation module uses the roughness n of the corridor to fine-tune the flow velocity calculation formula. This design considers the influence of different corridor surface characteristics on the flow velocity, and by accurately reflecting the actual flow conditions inside the corridor, the calculated sludge thickness is closer to the real state. After inputting the monitored flow velocity data and the corresponding measurement position interval dx into the calculation module, the calculation module processes the data using formula (15). Since the corridor roughness n is directly related to the energy loss in the water flow, incorporating it into the calculation can more accurately assess the head loss and the resulting flow velocity change, and then calculate the amount of sludge at each point. The operation of the entire system is based on real-time flow velocity monitoring and dynamic calculation, which can continuously provide information on the total amount of sludge in the AB section of the corridor, which helps to take timely cleaning measures and maintain the normal operation of the push flow pool. In addition, in other embodiments not described, the calculation module may use more complex data analysis algorithms, such as machine learning models, to further improve the accuracy and reliability of the sludge total amount estimation. By continuously optimizing the calculation model, the device can provide accurate sludge accumulation information under different operating conditions, thereby enhancing the predictability of system maintenance and the convenience of operation. In other embodiments not shown in the figure, the accuracy and coverage of flow velocity measurements can be enhanced by increasing the density of measurement points or introducing additional sensor types, such as sonar probes, further improving the reliability of total sludge calculation. These improvements are not limited to straight corridors but are also applicable to complex corridor structures that are curved or bifurcated, demonstrating the flexibility and adaptability of the calculation module design. In summary, by making reasonable use of the corridor roughness parameters, this device achieves automation and intelligence in sludge monitoring, providing strong support for the operation and management of the plug flow pool.

[0046] Furthermore, in this embodiment, the total sludge calculation module calculates the bending radius r of the bend. C Incorporate this into the calculation to assess head loss at bends.

[0047] In this embodiment, the total sludge calculation module integrates the bending radius r of the bend. _C Parameters are used to accurately assess head loss at bends. This strategy allows the monitoring device to more comprehensively consider the energy consumption of water flow at bends in the jet chute, thereby improving the accuracy of silt thickness H_1 calculations. This is achieved by adjusting the bend radius r_ CThe impact of these factors is incorporated into the calculation model. The monitoring system can not only monitor siltation in straight sections but also effectively assess the additional energy loss caused by changes in the channel geometry, leading to silt accumulation. This design ensures that the total silt calculation reflects actual operating conditions regardless of whether the water flow passes through straight or curved sections, improving monitoring accuracy. Furthermore, in subsequent implementations, the calculation module can be flexibly adjusted to adapt to channel structures with different curvature radii, enhancing the device's applicability and monitoring capabilities. In summary, the technical solution of this embodiment achieves more accurate monitoring of the total silt volume in the plug flow tank channel through precise calculation of head loss, which is of great significance for maintaining the efficient operation of the plug flow tank system.

[0048] Furthermore, in this embodiment, the total silt calculation module adopts a specific calculation method for the hydraulic radius R and correlates it with the friction coefficient λ to optimize the head loss calculation.

[0049] In this embodiment, the total sludge calculation module uses a specific method for calculating the hydraulic radius R: ( ) The head loss calculation is optimized by correlating the friction coefficient λ. By accurately assessing the flow state at various points within the channel, the calculation module can precisely capture the subtle relationship between flow characteristics and channel geometry, thereby achieving refined calculation of head loss. This calculation method not only considers direct physical quantity relationships but also integrates complex factors in fluid mechanics, such as the kinetic energy conversion of the flow and the frictional effect of the channel walls. With real-time monitoring data of flow velocity vx and position interval dx input, the calculation module dynamically adjusts the head loss model to ensure the accuracy of silt thickness estimation. This optimization makes the detection of total silt more scientific and reasonable, helping to promptly detect and address siltation problems in the plug flow pool and maintain the efficient operation of the system. In other embodiments not shown in the figure, the calculation module may also integrate advanced data analysis algorithms to further improve monitoring accuracy and response speed to adapt to silt detection needs under different operating conditions.

[0050] Furthermore, in this embodiment, the total silt calculation module uses the local head loss coefficient ζ to estimate the flow loss in the bend.

[0051] In this embodiment, the total sludge calculation module uses the local head loss coefficient ζ to estimate the flow loss in the bend section. This design allows the monitoring device to more accurately assess the head loss at various monitoring points in the pusher pool channel, especially in the bends. By carefully considering the local head loss, the device can comprehensively reflect the distribution characteristics of energy consumption in the channel, thereby improving the accuracy of sludge thickness and total sludge calculation. This approach not only considers the friction loss along the straight sections but also covers the additional energy loss caused by the change in direction at bends, ensuring the reliability of the monitoring results. By integrating the flow velocity vx at different points and its corresponding measurement interval dx obtained by the online flow velocity monitoring module, and combining it with the formula in the calculation module, real-time monitoring and calculation of the total sludge t in section AB of the pusher pool channel are achieved. This method of accurately calculating sludge volume helps to take timely dredging measures and maintain the normal operation and high efficiency of the pusher pool system. In practical applications, the calculation module can be integrated into the control system to dynamically adjust the power or working cycle of the pusher, optimize energy consumption and dredging strategies. Of course, in other embodiments not shown in the figure, the local head loss coefficient ζ can also be calculated using other formulas related to the geometry and fluid properties of the channel to suit the needs of plug pools of different sizes and shapes.

[0052] Furthermore, in this embodiment, the flow velocity monitoring structure implements a multi-point continuous monitoring strategy.

[0053] In this embodiment, the flow velocity monitoring structure implements a multi-point continuous monitoring strategy. This strategy achieves real-time and continuous monitoring of the water flow velocity v_x within the channel by deploying a series of flow meters in section AB of the plugging pool. The flow meters not only record the flow velocity value at specific points but also the distance between that point and the starting point A of the monitoring range, i.e., the measurement interval dx. The monitoring data is then transmitted to the sludge total volume calculation module via the data transmission module. The calculation module substitutes the continuously measured flow velocity values ​​and position intervals into the data, performs integration, and calculates the total sludge volume t6 of section AB of the channel. The implementation of the multi-point continuous monitoring strategy ensures the accuracy and real-time nature of the sludge total volume calculation, providing a scientific basis for the maintenance and management of the plugging pool and sludge removal. Through this strategy, the monitoring device can effectively identify the trend and location of sludge accumulation, provide timely warnings of excessive sludge, and avoid reduced water flow efficiency and decreased plugging pool performance due to untimely sludge removal. In other embodiments not shown, the flow velocity monitoring structure can be further optimized, for example, by increasing the density of flow meters or using flow meters with higher precision, to improve the resolution and accuracy of the monitoring data. Furthermore, the data transmission module and computing module can also be upgraded to support larger data processing volumes and faster computing speeds. These improvements will further enhance the efficiency and accuracy of total sludge monitoring.

[0054] Furthermore, in this embodiment, the total sludge calculation module uses the integral calculation method in the formula to estimate the total sludge volume.

[0055] In this embodiment, the sludge total volume monitoring device for the plugging pool corridor adopts a functional system integrating online flow velocity monitoring, data transmission, and sludge total volume calculation. The device continuously collects the flow velocity (vx) and corresponding measurement interval (dx) at different points within the plugging pool corridor through the online flow velocity monitoring module. This data is then transmitted in real-time to the sludge total volume calculation module via the data transmission module. Based on the integral calculation method in the formula, and combined with the transmitted flow velocity and position interval information, the sludge total volume calculation module dynamically estimates the sludge thickness in section AB of the corridor, thereby achieving accurate monitoring of the total sludge volume.15 This technical solution effectively reflects the sludge accumulation status of the plugging pool corridor, providing crucial data support for the operation, management, and maintenance of the plugging pool. Through continuous monitoring and real-time integral calculation, the device can respond promptly to changes in sludge accumulation, significantly contributing to the prevention of sludge blockage and optimization of plugging pool operating efficiency. In other embodiments, the device can also optimize the data acquisition density and calculation algorithm according to the specific structure and operating parameters of the plugging pool to further improve the accuracy and efficiency of monitoring.

[0056] Furthermore, in this embodiment, the workflow of the device includes sequentially performing flow rate monitoring, data transmission, and total sludge calculation.

[0057] In this embodiment, the workflow of the sludge total volume monitoring device in the plug flow basin corridor includes three steps: online flow velocity monitoring, data transmission, and sludge total volume calculation. First, the online flow velocity monitoring module monitors the flow velocity at multiple points in the plug flow basin corridor in real time, obtaining the flow velocity vx at each point and the measurement interval dx1. Then, the data transmission module promptly transmits the collected data to the sludge total volume calculation module. The calculation module uses the following formula:

[0058] Using the received flow velocity and position interval information, combined with parameters such as the flow turbine power P, flow turbine efficiency η, net water depth H, channel width b, channel length L, water flow density ρ, gravitational acceleration g, and channel roughness n, the silt thickness H1 is calculated. Then, through integration, the total silt volume t1 of channel AB is obtained. The entire workflow is closely interconnected, enabling accurate assessment of siltation in the flow turbine channel, providing strong data support for maintenance and management, effectively improving monitoring efficiency and accuracy, and reducing the frequency and cost of manual monitoring. In an embodiment not shown in the figure, the monitoring device can also integrate an automatic cleaning function to prevent sensor clogging and ensure long-term stable operation. Furthermore, the device can connect to a remote monitoring center via a wireless network to achieve real-time data transmission and analysis, enhancing the system's intelligence level.

[0059] Furthermore, in this embodiment, the device implements online monitoring, collecting and analyzing data in real time.

[0060] In this embodiment, the sludge total volume monitoring device for the plug flow basin corridor integrates online monitoring and data analysis. The device continuously collects the flow velocity (vx) and measurement interval (dx) at various points within the corridor through an online flow velocity monitoring module, and transmits this data in real-time to the sludge total volume calculation module with the support of a data transmission module. The calculation module uses the received flow velocity and interval information to perform real-time analysis and calculation to determine the total sludge volume (t) of section AB of the corridor. This integrated online monitoring solution not only provides real-time data acquisition capabilities but also enables dynamic sludge total volume assessment, avoiding the inaccuracies and time-consuming nature of traditional manual measurements. Through continuous monitoring and rapid calculation, the device can promptly reflect the sludge accumulation status of the corridor, providing a scientific basis for the maintenance and management of the plug flow basin and significantly improving the system's operational efficiency and safety. Of course, in other embodiments not detailed in detail, the device's functionality and performance can be further improved by optimizing sensor accuracy or enhancing data processing algorithms to adapt to more complex and variable on-site environments, achieving more refined and intelligent sludge monitoring.

[0061] During the operation of the sludge total volume monitoring device in the plug flow tank channel, the online flow velocity monitoring module first measures the flow velocity vx in real time at different points in the plug flow tank channel, and simultaneously records the measurement position interval dx at the corresponding points. This data is then transmitted in real time to the sludge total volume calculation module via the data transmission unit. After receiving the flow velocity and position interval information from the monitoring module, the calculation module, based on the hydraulic principles of the plug flow tank, and combining parameters such as the power P, efficiency η, net water depth H, channel width b, channel length L, water flow density ρ, gravitational acceleration g, channel roughness n, and the bending radius r_C at specific points, substitutes these parameters into the formula (…). The total silt volume t in section AB of the corridor is calculated by integral calculation. This series of steps is closely linked, forming a continuous monitoring and calculation process that ensures the real-time and accuracy of silt volume monitoring. Through online monitoring and real-time data analysis, the device can promptly reflect changes in the siltation state within the corridor, providing a scientific basis for maintenance and management decisions in the plugging pool. After completing one monitoring cycle, the above process is repeated to continuously monitor silt accumulation and ensure the stable operation of the plugging pool system.

[0062] Formula 15 ( The conversion process is as follows: like Figure 1 The diagram shown is a cross-sectional view of a channel in a plug flow pool. The flow rate is Q, H is the water depth, H1 is the mud thickness, v is the flow velocity at H, and v1 is the flow velocity at H1. Given the water depth H and the flow velocity v, the mud thickness H1 can be obtained.

[0063]

[0064]

[0065] Where v can be calculated; In a power flow tank system, the output energy of the power flow generator is equal to the energy lost by the water flow in the tank. Therefore, the power of the power flow generator is equal to the increase in potential energy of the water flow.

[0066] in

[0067] η is the flow turbine efficiency, P is the flow turbine power (W), ρ is the water flow density (kg / m³), and g is the acceleration due to gravity (m / s²). 2 Q is the flow rate (m³ / s), b is the corridor width (m), v is the water velocity (m / s), and h is the total head loss (m). As shown in the figure, the green segment is selected for analysis. The total head loss consists of the friction head loss along the straight section and the local head loss in the curved section, i.e.:

[0068] h f The head loss along the friction (m), h j For the local head loss (m), then:

[0069] The formula for calculating the head loss along the straight section is as follows:

[0070] in

[0071]

[0072]

[0073]

[0074] λ is the friction factor, R is the hydraulic radius, A is the cross-sectional area of ​​the flow, and X is the wetted perimeter. The local head loss in the bend is

[0075] Where: ζ is obtained using an empirical formula.

[0076] r Chydraulic radius of the bend P is the power of the flow turbine, η is the efficiency of the flow turbine, h is the head loss of the channel, H is the net water depth, b is the width of the channel, L is the length of the channel, v is the velocity, Q is the flow rate, I is the hydraulic gradient, and n is the roughness of the channel. From the above formulas, we can obtain...

[0077] therefore,

[0078] The total amount of silt in section AB of the corridor can be obtained by conducting continuous monitoring at multiple points.

Claims

1. A device for monitoring the total amount of silt in a flow channel, characterized in that: The system includes a flow velocity monitoring structure for measuring the flow velocity v at different points within the flow channel and its corresponding measurement interval dx; a data transmission unit connected to the flow velocity monitoring structure for transmitting the data measured by the flow velocity monitoring structure to a total sludge calculation unit; and a total sludge calculation unit communicatively connected to the data transmission unit for receiving the data and calculating the total sludge volume of section AB of the flow channel based on the data.

2. The device for monitoring the total amount of sludge in a flow channel as described in claim 1, characterized in that... The total silt calculation unit calculates the energy balance of the water flow based on the power and efficiency parameters of the flow generator. The total silt calculation unit further receives the water flow density ρ and the gravitational acceleration g to calculate the water flow potential energy. The total silt calculation unit also considers the friction head loss h in the total head loss. f and local head loss h j To assess energy loss.

3. A method for calculating the total amount of silt in a plug flow pool corridor, characterized in that, Includes the following steps: S1 Fixed-point flow velocity measurement: The flow meter measures the flow velocity at the first measurement point and obtains flow velocity data v1. After the measurement is completed, the calculation module controls the traction motor to start and drag the flow meter to move. After moving a distance of dx, the flow meter reaches the second measurement point and then measures the flow velocity at that point to obtain flow velocity data v2. The traction motor continues to drag the flow meter to the third measurement point, and the flow meter simultaneously completes the flow velocity measurement at the third measurement point and records the data v3. This process is repeated until the flow velocity measurement task for the entire AB segment is completed. S2 Import Calculation Module: Imports the measured series of flow velocity data (v1, v2, v3...v...) x The parameters such as the moving distance dx are entered into the calculation module, and the calculation module performs subsequent result calculations. The calculation module substitutes the data into formula (15) to obtain the total amount of silt. The total amount of silt calculation module uses the integral calculation method in the following formula (15) to estimate the total amount of silt: 。 4. The method for calculating the total amount of silt in a flow channel as described in claim 3, characterized in that: The total silt calculation module models the hydraulic characteristics based on the corridor's length L, water depth H, and width b.

5. The method for calculating the total amount of silt in a flow channel as described in claim 3, characterized in that: The total silt calculation module uses the roughness n of the corridor to adjust the flow velocity calculation formula, and the total silt calculation module also considers the bending radius r of the bend. C Incorporate this into the calculation to assess head loss at bends.

6. The method for calculating the total amount of silt in a flow channel as described in claim 3, characterized in that: The total silt calculation module uses a specific method to calculate the hydraulic radius R and correlates it with the friction coefficient λ to optimize the head loss calculation.

7. The method for calculating the total amount of silt in a flow channel as described in claim 3, characterized in that: The total silt calculation module uses the local head loss coefficient ζ to estimate the flow loss in the bend.

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