Water conservancy construction sewage treatment device

Abstract

The invention is applicable to the technical field of sewage treatment, and provides a water conservancy construction sewage treatment device which comprises a water guide pipe, a filter screen plate is fixedly connected in the water guide pipe, the water guide pipe is provided with a valve mechanism for controlling the open area of the water guide pipe, the water guide pipe is communicated with a mechanism groove, and a spray head is arranged in the mechanism groove. A driving motor capable of driving a spray head to rotate is arranged outside the mechanism groove, the spray head is obliquely arranged towards the water inlet direction, the spray head can be communicated with a water suction pump and an air suction pump at the same time, and an ultrasonic transducer is arranged on the inner wall, around the filter screen plate, of the water guide pipe. The system further comprises a filtering efficiency regulation and control system. According to the water conservancy construction sewage treatment device disclosed by the embodiment of the invention, through cooperative configuration of the water guide pipe, the filter screen plate, the valve mechanism, the spray head and the ultrasonic transducer, effective filtration and multi-mode cleaning of construction sewage are realized.

Description

Technical Field

[0001] This invention belongs to the field of wastewater treatment technology, and in particular relates to a wastewater treatment device for water conservancy construction. Background Technology

[0002] Construction wastewater generated during water conservancy projects, building construction, and river dredging operations typically contains complex impurities such as high concentrations of silt, suspended solids, and sticky organic particles.

[0003] Current mainstream physical filtration wastewater treatment devices consist of a core structure of a water guide pipe and an internal filter screen. As wastewater flows through, the filter screen intercepts solid impurities to achieve solid-liquid separation. However, this type of device has revealed multiple technical bottlenecks in actual operation.

[0004] Specifically, filter screens are prone to clogging during continuous operation, especially when there are sticky particles in the wastewater. These substances will quickly form a dense layer on the surface of the filter screen and penetrate into the pores, causing the filtration efficiency to decrease sharply over time, the water flow resistance to increase continuously, and eventually the screen may become completely blocked.

[0005] Traditional solutions rely on manual periodic shutdowns for cleaning or simple backwashing. However, manual cleaning not only interrupts the wastewater treatment process and affects the construction progress, but is also labor-intensive and inefficient. Meanwhile, backwashing with fixed parameters has limited effectiveness in removing highly adhesive dirt and cannot completely restore the permeability of the filter.

[0006] Regarding the cleaning mechanism, although some improved devices have introduced hydraulic or pneumatic backwashing functions, the cleaning parameters, such as pressure intensity and spray angle, are all preset fixed values ​​and cannot be dynamically adjusted according to the real-time characteristics of the wastewater. For example, when dealing with high-viscosity wastewater, a fixed cleaning intensity is difficult to effectively remove sticky dirt; while under low turbidity conditions, excessively high cleaning parameters result in a waste of water and energy.

[0007] The aforementioned problems collectively restrict the continuous operation and long-term stability of wastewater treatment equipment, making it difficult to eradicate defects such as low filtration efficiency, high maintenance costs, and excessive energy consumption. Summary of the Invention

[0008] The purpose of this invention is to provide a sewage treatment device for water conservancy construction, which aims to solve the problem that current mainstream physical filtration sewage treatment devices cannot dynamically adjust according to the real-time characteristics of sewage.

[0009] This invention is implemented as follows: a wastewater treatment device for water conservancy construction includes a water guide pipe, in which a filter screen is fixedly connected. The water guide pipe is equipped with a valve mechanism to control the flow area. The water guide pipe is connected to a mechanism groove, in which a nozzle is installed. A drive motor capable of rotating the nozzle is installed outside the mechanism groove. The nozzle is inclined towards the water inlet direction. The nozzle can be simultaneously connected to a water pump and an air pump. The water pump is connected to a filtered clear water tank. The nozzle has water spray holes and air spray holes, and the spray direction of the nozzle is towards the filter surface of the filter screen. An ultrasonic transducer is installed on the inner wall of the water guide pipe surrounding the filter screen. The device also includes a filtration efficiency control system, which comprises:

[0010] Filtration operating condition assessment module: Based on the viscosity, turbidity, and flow rate of the wastewater in the water pipe, a filtration operating condition load index model is constructed, and the operating condition load index is output.

[0011] Cleaning efficiency evaluation module: Based on the backwash water pressure, backwash air pressure, spray angle between the nozzle and the filter plate, and ultrasonic power of the ultrasonic transducer, a real-time cleaning efficiency index model is constructed and the cleaning efficiency index is output.

[0012] Clogging Status Assessment Module: Under the influence of the operating load index, a clogging risk assessment model is constructed based on the pressure difference across the filter screen and the cleaning efficiency index, and the clogging risk index is output.

[0013] Cleaning intensity adjustment module: Based on the current ultrasonic power, operating load index and blockage risk index, a dynamic adjustment model for ultrasonic power is constructed, and the ultrasonic transducer power setting value is output.

[0014] In a further technical solution, the valve mechanism includes: a housing, a motor, and a baffle plate;

[0015] The water guide pipe is connected to a housing, and a motor is fixedly connected to the housing. The output shaft of the motor is threadedly connected to a baffle plate, which is slidably connected within the housing.

[0016] A further technical solution involves sequentially substituting the sewage viscosity, turbidity, and flow rate in the water pipe into a maximum-minimum normalization formula for processing, and then sequentially generating the viscosity index, turbidity index, and flow rate index; in the filtration load index model:

[0017] The viscosity index, turbidity index, and flow rate index are weighted and summed according to the pre-set weighting coefficients of each index. An interactive amplification term consisting of the product of the viscosity index, turbidity index, and flow rate index is introduced to adjust the weighted summation result, and finally the operating load index is calculated and output.

[0018] A further technical solution involves sequentially substituting the backwash water pressure, backwash air pressure, and ultrasonic power of the ultrasonic transducer into a maximum-minimum normalization formula for processing, thereby generating backwash water pressure index, backwash air pressure index, and ultrasonic power index. The spray angle index is obtained by subtracting the optimal spray angle from the actual spray angle between the nozzle and the filter screen, taking the absolute value, and then dividing by the spray angle range. In the instant cleaning efficiency index model:

[0019] The mechanical cleaning component is obtained by weighted summation of the compensation values ​​of the backwash water pressure index, the backwash air pressure index, and the jet angle index. The mechanical cleaning component is then combined with the ultrasonic power index through a cleaning mode weighting coefficient to finally calculate and output the cleaning efficiency index.

[0020] A further technical solution involves substituting the pressure difference across the filter screen into a maximum-minimum normalization formula for normalization, and generating a pressure difference index; in the clogging risk assessment model:

[0021] Based on a risk composition weighting coefficient, the direct risk represented by the product of the differential pressure index and the operating load index, and the mitigated risk represented by the value obtained by dividing the differential pressure index by the cleaning efficiency index are weighted and combined to finally calculate and output the blockage risk index.

[0022] A further technical solution involves substituting the current actual power of the ultrasonic transducer into a maximum-minimum normalization formula for processing, and generating a current power index; in the ultrasonic power dynamic adjustment model:

[0023] Based on the operating load index and the blockage risk index, the corresponding gain coefficients are adjusted and then added to the current power index to obtain a basic adjustment amount. This basic adjustment amount is compared with the upper limit value, and the smaller value is taken. Then, it is multiplied by the maximum allowable power of the ultrasonic transducer to finally calculate and output the power setting value of the ultrasonic transducer.

[0024] Further technical solutions also include a system protection and regulation module, which can construct an inlet flow buffer regulation model based on the blockage risk index, the current valve opening of the valve mechanism, and the maximum allowable inlet pressure of the system, and output the target valve opening of the valve mechanism.

[0025] A further technical solution involves substituting the current valve opening and the maximum allowable inlet pressure of the system into the maximum-minimum normalization formula for normalization, and then generating the current valve opening index and the maximum allowable inlet pressure index in sequence; in the inlet flow buffer regulation model:

[0026] Based on an adjustment strategy weighting coefficient, the first strategy term and the second strategy term are weighted and combined; the first strategy term is composed of the compensation value of the current valve opening index and the blockage risk index, and the second strategy term is composed of the reduction coefficient determined by the ratio of the blockage risk index to the maximum inlet pressure index; the weighted combination result is multiplied by the maximum valve opening, and the target valve opening is finally calculated and output.

[0027] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0028] The water conservancy construction wastewater treatment device in this embodiment achieves effective filtration and multi-mode cleaning of construction wastewater through the coordinated configuration of water guide pipes, filter screens, valve mechanisms, nozzles, and ultrasonic transducers. In particular, the filtration efficiency control system can assess the filtration load, cleaning efficiency, and clogging risk in real time, and dynamically adjust the cleaning intensity. This effectively solves the problems of easy clogging of filter screens, low cleaning efficiency, and lack of intelligent control, reduces the frequency of manual maintenance, lowers energy consumption, and ensures the continuous, efficient, and stable operation of water conservancy construction wastewater treatment.

[0029] The ultrasonic power dynamic adjustment model, based on the current power index, combines the operating load index and the clogging risk index, and performs weighted calculations using load response gain coefficients and risk response gain coefficients to output a smooth and adaptive ultrasonic transducer power setpoint. This adjustment mechanism ensures that the ultrasonic cleaning intensity accurately responds to changes in filtration conditions and the degree of clogging risk, avoiding energy waste caused by excessive cleaning intensity and clogging accumulation caused by insufficient cleaning intensity.

[0030] Using the maximum valve opening as a reference, the model outputs the target valve opening, achieving smooth transition and adaptive adjustment, comprehensively responding to real-time operating conditions, and improving system protection. This precise and adaptive flow control can effectively buffer system pressure fluctuations, prevent pressure over-limits and equipment damage, thereby significantly improving the operational reliability and safety of sewage treatment devices in water conservancy construction. Attached Figure Description

[0031] Figure 1 This is a schematic diagram of the structure of the present invention;

[0032] Figure 2 This is a schematic diagram of the internal structure of the water pipe in this invention;

[0033] Figure 3 This is a schematic diagram illustrating the interaction between the filter screen and the nozzle in this invention.

[0034] Figure 4 This is a schematic diagram of the filtration efficiency control system in this invention.

[0035] In the attached diagram: 1. Water guide pipe; 2. Filter screen; 3. Collection tank; 4. Spiral feeder; 5. Mechanism groove; 6. Nozzle; 7. Water pump; 8. Air pump; 9. Valve mechanism; 91. Housing; 92. Motor; 93. Baffle plate. Detailed Implementation

[0036] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0037] The specific implementation of the present invention will be described in detail below with reference to specific embodiments.

[0038] like Figures 1-4 As shown, an embodiment of the present invention provides a wastewater treatment device for water conservancy construction, including a water guide pipe 1, a filter screen plate 2 fixedly connected in the water guide pipe 1, a valve mechanism 9 for controlling the flow area of ​​the water guide pipe 1, a mechanism groove 5 connected to the water guide pipe 1, a nozzle 6 disposed in the mechanism groove 5, a drive motor for rotating the nozzle 6 disposed outside the mechanism groove 5, the nozzle 6 being inclined towards the water inlet direction, the nozzle 6 being simultaneously connected to a water pump 7 and an air pump 8, the water pump 7 being connected to a filtered clear water tank, the nozzle 6 being provided with water spray holes and air spray holes, the spray direction of the nozzle 6 being towards the filter surface of the filter screen plate 2, and an ultrasonic transducer disposed on the inner wall of the water guide pipe 1 surrounding the filter screen plate 2; it also includes a filtration efficiency control system, which includes:

[0039] Filtration operating condition assessment module: Based on the sewage viscosity, sewage turbidity, and sewage flow rate in water pipe 1, a filtration operating condition load index model is constructed, and the operating condition load index is output:

[0040] Cleaning efficiency evaluation module: Based on the backwash water pressure, backwash air pressure in nozzle 6, the spray angle between nozzle 6 and filter plate 2, and the ultrasonic power of ultrasonic transducer, a real-time cleaning efficiency index model is constructed and the cleaning efficiency index is output.

[0041] Clogging Status Assessment Module: Under the influence of the operating load index, a clogging risk assessment model is constructed based on the pressure difference before and after the filter screen 2 and the cleaning efficiency index, and the clogging risk index is output.

[0042] Cleaning intensity adjustment module: Based on the current ultrasonic power, operating load index and blockage risk index, a dynamic adjustment model for ultrasonic power is constructed, and the ultrasonic transducer power setting value is output.

[0043] In this embodiment, the main structure of the device includes a water guide pipe 1 for carrying the flow of sewage and providing a mounting base for other components. A filter screen 2 is fixedly connected in the water guide pipe 1 to separate impurities in the sewage to be treated. A valve mechanism 9 is provided on the water guide pipe 1 to control the flow area of ​​the water guide pipe 1, thereby achieving coarse control of the sewage flow rate.

[0044] The nozzle 6, located in the mechanism slot 5, comprises multiple independent nozzles. The spray angle and direction of the nozzle 6 can be adjusted and set by a drive motor. The nozzle 6 is tilted towards the water inlet direction, allowing the jet stream to flow against the flow of wastewater, thus backwashing the filter screen 2 and enabling the jet stream to directly act on the surface of the filter screen 2 where dirt has accumulated. The nozzle 6 is equipped with water spray holes and air spray holes, used for spraying water and airflow respectively.

[0045] The sprinkler head 6 can be simultaneously connected to a water pump 7 and an air pump 8. The water pump 7 and air pump 8 can be connected to the water inlet and air inlet of the sprinkler head 6 respectively via independent pipes. The water pump 7 can obtain water from an external water source (such as municipal water supply or a water storage tank), and the air pump 8 can draw air from the atmosphere and compress it. The water pump 7 is connected to a filtered clean water tank. This means that the water inlet of the water pump 7 is connected to a tank containing filtered clean water. When backwashing is required, the water pump 7 draws water from the clean water tank and delivers it to the sprinkler head 6.

[0046] An ultrasonic transducer is installed on the inner wall of the water guide pipe 1 surrounding the filter screen 2. The ultrasonic transducer can be installed on the inner wall of the water guide pipe 1, near the filter screen 2, by means of adhesive, embedding, or bolt fixing. The transducer generates ultrasonic waves by converting electrical energy into mechanical vibration.

[0047] This device also includes a filtration efficiency control system. This system is an integrated control unit that can be implemented by a programmable logic controller (PLC) or an industrial computer. It internally operates multiple functional modules for intelligent management of the filtration and cleaning processes.

[0048] The filtration operation condition assessment module receives signals from sensors (such as viscometers, turbidity meters, and flow meters) in the water pipe 1 to acquire wastewater viscosity, turbidity, and flow rate data. This data is input into a preset mathematical model and outputs an operation condition load index.

[0049] The cleaning performance evaluation module receives data from the backwash water pressure sensor, backwash air pressure sensor, angle sensor between the nozzle 6 and the filter plate 2, and power sensor of the ultrasonic transducer from nozzle 6. This data is input into a preset mathematical model and outputs a cleaning performance index.

[0050] The clogging status assessment module receives data from the differential pressure sensors before and after filter plate 2, as well as the operating load index and cleaning efficiency index output by the filtration operating condition assessment module and the cleaning efficiency assessment module. This data is input into a preset mathematical model and outputs a clogging risk index.

[0051] The cleaning intensity adjustment module receives current power data from the ultrasonic transducer, as well as the operating load index and clogging risk index output by the filtration condition assessment module and the clogging status assessment module. This data is input into a preset mathematical model and outputs the ultrasonic transducer power setpoint to guide power adjustment of the ultrasonic transducer.

[0052] In a preferred embodiment of the present invention, the valve mechanism 9 includes: a housing 91, a motor 92, and a baffle plate 93;

[0053] The water guide pipe 1 is connected to a housing 91, and a motor 92 is fixedly connected to the housing 91. The output shaft of the motor 92 is threadedly connected to a baffle plate 93, which is slidably connected within the housing 91. In a preferred embodiment of the invention, a collection trough 3 is also provided on one side of the filter screen 2. The collection trough 3 is connected to the water guide pipe 1, and a spiral pusher 4 is provided in the collection trough 3. The collection trough 3 can connect to an external filter material collection box.

[0054] In this embodiment, the housing 91 serves to house the moving parts inside the valve and acts as an interface for connecting to the water guide pipe 1; the motor 92 is the driving component of the valve mechanism 9, responsible for providing power to precisely control the position of the baffle 93; the baffle 93 is a component in the valve mechanism 9 that directly acts on the fluid channel, and its position is changed to adjust the flow area of ​​the water guide pipe 1.

[0055] The output shaft of motor 92 drives baffle 93 via a threaded connection, converting the rotational motion of the motor into precise linear displacement of baffle 93. This threaded transmission mechanism not only provides a large thrust, ensuring that baffle 93 can overcome water flow resistance for adjustment, but also has excellent self-locking performance, allowing baffle 93 to remain stable in any position, thereby achieving micron-level precise control of the flow area.

[0056] In a preferred embodiment of the present invention, the sewage viscosity, sewage turbidity, and sewage flow rate in the water guide pipe 1 are sequentially substituted into the maximum-minimum normalization formula for processing, and the viscosity index, turbidity index, and flow rate index are generated sequentially; in the filtration operating condition load index model:

[0057] ;

[0058] in This is the viscosity weighting coefficient. This is the turbidity weighting coefficient. For traffic weighting coefficients, This is the interactive amplification factor. ,and , , as well as All greater than , Viscosity index Turbidity index For traffic index, This is the load index under operating conditions.

[0059] In this embodiment, specifically, the normalization process aims to eliminate the influence of different physical dimensions and numerical ranges on model calculations, transforming the original data to a uniform scale. This ensures the comparability of parameters within the model and prevents parameters with large numerical ranges from excessively dominating the calculation results. For example, the maximum-minimum normalization formula (X - X) can be used. min ) / (X max - X min This is implemented using ), where X is the original data, X min and X max These are the minimum and maximum values ​​of the data within a historical or preset range, respectively. After normalization, viscosity index, turbidity index, and flow rate index will be generated. These indices represent the relative magnitude or intensity of their respective parameters within a preset range, providing standardized input for subsequent load index models.

[0060] Based on this, the filtration load index model is used to comprehensively evaluate the load status of the filter screen under current wastewater treatment conditions. This model uses weighted summaries and partial... This reflects the independent impact of wastewater viscosity, turbidity, and flow rate on the filtration load. Among these, the weighting coefficients... , , To quantify the importance of each parameter, these weighting coefficients can be set based on expert experience or optimized through historical data analysis or machine learning algorithms. Simultaneously, the model innovatively introduces interaction terms. This study aims to capture the synergistic effect among wastewater viscosity, turbidity, and flow rate. For example, when wastewater simultaneously exhibits high viscosity, high turbidity, and high flow rate, the risk of filter clogging does not simply add up but increases exponentially; the interaction term amplifies this synergistic effect. (Interaction amplification coefficient) This coefficient, used to adjust the intensity of the interaction effect, can be calibrated based on actual operating experience, experimental data, or simulation results. Ultimately, the load index... As an output of the model, the higher the value, the greater the load on the filter and the higher the risk of clogging.

[0061] The above technical solution firstly involves substituting the raw data of sewage viscosity, turbidity, and flow rate in water pipe 1—data with different dimensions and numerical ranges—into a maximum-minimum normalization formula for processing, generating corresponding viscosity, turbidity, and flow rate indices. This preprocessing step effectively eliminates dimensional differences and numerical scale inconsistencies among the raw data, ensuring the fairness and accuracy of subsequent model calculations and avoiding the problem of a single parameter excessively influencing the overall evaluation results due to its large numerical range. Secondly, in the filtration load index model, by introducing a weighted sum, different weight coefficients can be assigned to sewage viscosity, turbidity, and flow rate according to the actual situation, thereby accurately reflecting the independent contribution of each parameter to the filtration load. More importantly, this model innovatively introduces an interaction term to capture and amplify the synergistic effect among viscosity, turbidity, and flow rate in a product form. For example, when high viscosity, high turbidity, and high flow rate occur simultaneously, the risk of filter clogging is not simply linearly superimposed but exhibits a significant non-linear increase. The interaction term can accurately quantify the sharp increase in load under such complex conditions. By adjusting the interactive amplification factor, the model can more comprehensively and accurately reflect the actual load borne by the filter screen under actual operating conditions. In summary, this technical solution solves the problem of inaccurate operating load assessment caused by differences in parameter dimensions and the lack of synergistic effects in traditional methods. It provides a more refined and reliable operating load index, providing a solid data foundation for subsequent clogging risk assessment, cleaning intensity adjustment, and system protection, thereby significantly improving the intelligence level and operational stability of sewage treatment devices in water conservancy construction.

[0062] In a preferred embodiment of the present invention, the backwash water pressure, backwash air pressure, and ultrasonic power of the ultrasonic transducer in the nozzle 6 are sequentially substituted into the maximum-minimum normalization formula for processing, and the backwash water pressure index, backwash air pressure index, and ultrasonic power index are generated sequentially; the difference between the actual spray angle between the nozzle 6 and the filter plate 2 and the optimal spray angle is subtracted, the absolute value is taken, and then divided by the spray angle range to obtain the spray angle index; in the instant cleaning efficiency index model:

[0063] ;

[0064] in This is the water pressure weighting coefficient. This is the pressure weighting coefficient. This is the weighting coefficient for the injection angle. , , as well as All greater than , This represents the weighting coefficient for the cleaning mode. , The backwash water pressure index. The recoil pressure index. The spray angle index, This refers to the ultrasonic power index. This represents the cleaning efficiency index.

[0065] In this embodiment, after normalization, backwash water pressure indices are generated. recoil pressure index and ultrasonic power index These indices are all dimensionless values, representing the relative strength of each parameter's contribution to cleaning efficiency.

[0066] Furthermore, in order to quantify the impact of the spray angle on the cleaning effect, this application generates a spray angle index by calculating the degree to which the actual spray angle between the nozzle 6 and the filter plate 2 deviates from the optimal spray angle. The specific method involves subtracting the preset optimal spray angle from the actual spray angle, taking the absolute value, and then dividing it by the spray angle range. The optimal spray angle can be determined through experimental testing, fluid dynamics simulation, or empirical data to achieve the best flushing effect. The spray angle range defines the physical limitations or effective working range of the adjustable spray angle. For example, the actual spray angle can be measured in real time using an angle sensor installed in the nozzle 6 or mechanism slot 5, while the optimal spray angle and spray angle range can be preset in the control system and adjusted according to the type of filter screen 2, the characteristics of the contaminants, etc. In this way, the spray angle index... It can accurately reflect the optimization space of the spray angle. The smaller the value, the closer the actual angle is to the optimal angle, and the greater the contribution to cleaning.

[0067] Based on this, this application constructs an instant cleaning efficiency index model. This model is a comprehensive mathematical model used to evaluate the overall efficiency of the current cleaning operation in real time. The model quantifies and weights the influence of multiple cleaning parameters, outputting a single cleaning efficiency index. This provides a direct visual representation of the cleaning effect. Among them, This is a weighting coefficient for the cleaning mode, used to balance the relative importance of water / air rinsing and ultrasonic cleaning in the overall performance evaluation. For example, when... A larger value indicates that water / air flushing is dominant in the assessment; when... When the value is smaller, ultrasonic cleaning has a higher weight. This is the water pressure weighting coefficient. This is the pressure weighting coefficient. These are the spray angle weighting coefficients, used to adjust the relative importance of different cleaning parameters in the water / air flushing section. These weighting coefficients can be optimized using experimental data, expert experience, or machine learning algorithms to adapt to different wastewater characteristics and filter screen types. The model can be implemented in the device's central controller or embedded system, acquiring real-time measurements of each cleaning parameter, normalizing them, and then substituting them into the model formula to calculate the instantaneous cleaning efficiency index. .

[0068] Through the above technical solution, this application achieves accurate, objective, and dynamic evaluation of cleaning efficiency. By accurately calculating the spray angle index between the nozzle 6 and the filter plate 2, the impact of angle deviation on the cleaning effect is quantified, enabling the model to accurately reflect the optimization space of the spray angle. In the real-time cleaning efficiency index model, a weighted sum formula is used to combine the backwash water pressure index, backwash air pressure index, spray angle index, and ultrasonic power index, and the cleaning mode weighting coefficient is applied. By dynamically adjusting the contributions of water / air cleaning and ultrasonic cleaning, a comprehensive dynamic evaluation of cleaning efficiency is achieved. This allows the system to move away from fixed or experience-based cleaning parameters and instead make intelligent decisions based on real-time data. This supports more precise adjustments to cleaning strategies, effectively reduces energy waste, improves filtration continuity, and ultimately ensures the stable and efficient operation of the wastewater treatment plant in water conservancy construction.

[0069] In a preferred embodiment of the present invention, the pressure difference across the filter plate 2 is substituted into the maximum-minimum normalization formula for normalization processing, and a pressure difference index is generated; in the clogging risk assessment model:

[0070] ;

[0071] in The risk constitutes a weighting coefficient. , It is a very small positive number. This refers to the operating load index. The cleaning efficiency index, The differential pressure index, It is a very small positive number. This is a congestion risk index.

[0072] In this embodiment, the clogging risk assessment model aims to comprehensively consider multiple factors to accurately predict the clogging risk index of the filter screen 2. The core of the model lies in its ability to organically combine changes in operating load, cleaning efficiency, and actual pressure difference through a weighted summation. These are weighting coefficients for risk, ranging from 0 to 1, used to dynamically adjust the relative importance of the two main components in the model. Part One Reflects the load index under current operating conditions Below, from the actual pressure difference index The congestion trend reflected in the operating load index. The higher the pressure differential index, the better. The larger the value, the higher the risk index of congestion. The greater this part's contribution, the better. Part Two This focuses on the current cleaning efficiency index. Under the influence of pressure difference index The changes in cleaning efficiency. At lower levels, even with a pressure differential index A low cleaning efficiency index may also indicate a potential risk of clogging, as the cleaning may not be sufficient to effectively alleviate the blockage. Conversely, a high cleaning efficiency index... At higher levels, the differential pressure index The increase in [the value] directly points to the worsening of congestion. Introducing a very small positive number... This is to avoid the cleaning efficiency index A mathematical error occurs when the denominator is zero, ensuring the numerical stability of the model. Optimization can be achieved through expert experience or machine learning algorithms, by adjusting... Based on actual operating experience or optimization goals, the focus can be on the direct impact of load and differential pressure, or on the mitigation effect of cleaning efficiency on differential pressure, thus making the blockage risk assessment more flexible and accurate.

[0073] Through the above technical solution, the model dynamically balances the impact of the current operating load on the blockage trend and the mitigating effect of cleaning efficiency on pressure difference changes by using risk composition weighting coefficients. Specifically, when the operating load... At higher pressure levels, even with minimal changes in the differential pressure index, the model can identify potential blockage risks; and when cleaning efficiency... At lower pressures, the model amplifies the contribution of the differential pressure index to the clogging risk index, thus more sensitively capturing the exacerbation of clogging caused by insufficient cleaning. This multi-factor dynamic interaction assessment mechanism enables the clogging risk index to more comprehensively and accurately reflect the actual clogging status and development trend of filter screen 2, providing a reliable decision-making basis for subsequent cleaning intensity adjustment and system protection adjustment. This effectively avoids sudden clogging of filter screen 2, ensures the continuous and efficient operation of the sewage treatment device for water conservancy construction, and reduces maintenance frequency and operating costs.

[0074] In a preferred embodiment of the present invention, the current actual power of the ultrasonic transducer is substituted into the maximum-minimum normalization formula for processing, and a current power index is generated; in the ultrasonic power dynamic adjustment model:

[0075] ;

[0076] in This is the load response gain coefficient. This is the risk response gain coefficient. , All greater than , This represents the maximum permissible power of the ultrasonic transducer. The current power index, This refers to the operating load index. To block the risk index, This is the power setting value for the ultrasonic transducer.

[0077] In this embodiment, to obtain the actual operating power of the ultrasonic transducer at a certain moment and convert it into a standardized, dimensionless exponent for unified calculation and comparison in the model, the current actual power of the ultrasonic transducer can be substituted into the maximum-minimum normalization formula for processing, and the current power exponent can be generated. For example, a power sensor or current / voltage sensor can be integrated into the ultrasonic transducer to monitor its output power in real time. The analog signal collected by the sensor is converted by an A / D converter, read by the controller, and substituted into the maximum-minimum normalization formula for calculation.

[0078] Based on this, the ultrasonic power dynamic adjustment model is a mathematical expression used to dynamically calculate and output the target power value that the ultrasonic transducer should be set according to multiple input parameters. Its core function is to achieve intelligent and adaptive adjustment of the ultrasonic cleaning intensity to cope with changes in filtration conditions and the risk of clogging, thereby optimizing the cleaning effect and saving energy. This model can be directly programmed into the device's central controller. The controller periodically acquires various input indices, substitutes them into the formula for calculation, and then outputs the calculated value. The value is converted into an actual power control signal and sent to the drive circuit of the ultrasonic transducer to adjust its output power.

[0079] This dynamic ultrasonic power adjustment model combines the current power index, operating load index, and congestion risk index, using load response gain coefficients and risk response gain coefficients to balance the ultrasonic power demand of each factor. The "min(1, ...)" function ensures that the calculated adjustment factor does not exceed 1, thus limiting the ultrasonic transducer power setpoint to the maximum allowable power of the ultrasonic transducer. Within this range. To further improve the accuracy and robustness of the adjustment, it can be determined through experiments or simulations at system startup or based on operational experience. and The initial value is set, and during system operation, it is adjusted using an adaptive algorithm based on the actual cleaning effect and energy consumption. and Perform online optimization and adjustments.

[0080] This application introduces the current actual power of the ultrasonic transducer as the input to the adjustment model and normalizes it into a current power index. This allows the adjustment of ultrasonic power to start from the real-time operating status of the equipment, avoiding power abrupt changes or discontinuities caused by not considering the current power during the adjustment process. By limiting the set value within the maximum allowable power of the ultrasonic transducer, the safe and stable operation of the equipment is further guaranteed. Therefore, this solution achieves refined and intelligent control of ultrasonic cleaning, significantly improves the stability and continuity of cleaning efficiency, effectively extends the service life of the filter plate 2, and reduces overall operating energy consumption.

[0081] As a preferred embodiment of the present invention, it also includes a system protection and adjustment module, which can construct an inlet flow buffer adjustment model based on the blockage risk index, the current valve opening of the valve mechanism 9, and the maximum allowable inlet pressure of the system, and output the target valve opening of the valve mechanism 9.

[0082] In this embodiment, the clogging risk index is a comprehensive indicator that quantifies the degree of clogging of the filter screen 2 and its potential hazards. This index is calculated by the clogging status assessment module based on the pressure difference before and after the filter screen 2 and the cleaning efficiency index, and can reflect the clogging status of the filter screen 2 in real time. The higher the value, the greater the risk of clogging of the filter screen 2, requiring intervention measures. This index serves as a key input parameter for the system protection and adjustment module and is an important basis for triggering the system protection mechanism.

[0083] The current valve opening degree of the valve mechanism 9 refers to the actual degree of opening of the valve mechanism 9, which controls the flow area of ​​the water guide pipe 1, at a certain moment. This opening degree can be obtained in real time by a position sensor (e.g., a rotary encoder, linear displacement sensor, or potentiometer) installed on the valve mechanism 9. It directly reflects the current flow rate of sewage entering the water guide pipe 1 and is an important basis for the system protection and regulation module to assess the current load status. By obtaining the current opening degree, the system can achieve smooth flow regulation and avoid system shocks caused by sudden changes in opening degree.

[0084] The maximum allowable inlet pressure of the system refers to the highest inlet pressure that the sewage treatment device for hydraulic construction can withstand under normal or safe operating conditions. This parameter is usually a fixed value preset according to the equipment's design specifications, material strength, and operational safety requirements. Alternatively, it can be monitored in real time by a pressure sensor and compared with this threshold. Its function is to provide a safety upper limit for the system's protection and regulation modules, ensuring that when adjusting the flow rate, the internal pressure of the system does not exceed the limits that the equipment can withstand, thereby protecting the equipment from damage.

[0085] The influent flow buffering and regulation model is a core algorithm or logic that comprehensively considers multiple input parameters, including the clogging risk index, the current valve opening of valve mechanism 9, and the maximum allowable influent pressure of the system. This model aims to calculate an optimal target valve opening to effectively reduce clogging risk and prevent system pressure from exceeding limits while ensuring processing efficiency. This model can be implemented in various ways, such as using adaptive PID control to dynamically adjust control parameters based on system response; or using a machine learning-based predictive model to learn the best regulation strategy from historical data. Its purpose is to achieve intelligent and stable regulation of the influent flow to buffer system load.

[0086] The target opening degree of the output valve mechanism 9 refers to the instruction issued to the valve mechanism 9 by the influent flow buffer regulation model after calculation, indicating the specific opening value it should be adjusted to. This output value is sent to the actuator of the valve mechanism 9 via a control signal, driving the baffle plate 93 to move to the designated position. By precisely controlling the opening degree of the valve mechanism 9, refined management of the sewage flow entering the water guide pipe 1 can be achieved, thereby achieving the purpose of buffering system load, reducing the risk of blockage, and protecting equipment.

[0087] In a preferred embodiment of the present invention, the current valve opening degree of the valve mechanism 9 and the maximum allowable inlet water pressure of the system are sequentially substituted into the maximum-minimum value normalization formula for normalization processing, and the current valve opening degree index and the maximum allowable inlet water pressure index of the system are generated sequentially; in the inlet flow buffer regulation model:

[0088] ;

[0089] in To adjust the strategy weight coefficients, , This represents the current valve opening index. To block the risk index, The maximum allowable inlet water pressure index of the system. It is a very small positive number. This represents the maximum valve opening. This represents the target valve opening.

[0090] In this embodiment, the influent flow buffer regulation model aims to provide an intelligent and adaptive control strategy to address the risk of filter 2 clogging, thereby protecting the stable operation of the system. This model can be implemented in a controller via software programming, such as a program running on a PLC, DCS, or industrial PC, acquiring sensor data in real time, performing calculations, and outputting control commands.

[0091] In the model, To adjust the strategy weight coefficient, this coefficient is used to balance the relative importance of the two different adjustment strategies in the model. When When the value is large, the model tends to maintain the current valve opening and make fine adjustments when the risk is low; when When the value is small, the model tends to make more aggressive protective adjustments based on the system's maximum inlet pressure when the risk is high. This weighting coefficient can be preset to a fixed value, such as 0.5, based on system design experience, or it can be dynamically adjusted according to the system's operating status and external conditions to adapt to different operating requirements.

[0092] The current valve opening index is a normalized value of the current valve opening of valve mechanism 9, reflecting the current flow control status of the valve. This index can be obtained by real-time detection of the valve opening by position sensors (such as potentiometers and encoders) on valve mechanism 9, and inputting the detected signals to the controller for normalization. The clogging risk index, output by the clogging status assessment module, quantifies the degree of clogging and potential risk of filter 2. The maximum allowable inlet pressure index is a normalized value of the maximum allowable inlet pressure of the system. It represents the upper limit of the pressure that the system can withstand and is usually a preset engineering parameter. The extremely small positive number is set to prevent the denominator from being zero. Its purpose is to prevent the denominator from being zero in the model calculation, thereby ensuring the numerical stability of the mathematical model. The maximum valve opening is the maximum physical opening that valve mechanism 9 can achieve, and it serves as the benchmark for calculating the target opening. The target valve opening is the ideal opening value that the valve mechanism 9 should be adjusted to, calculated by the model. The controller sends this value as a command to the actuator of the valve mechanism 9 to achieve precise flow regulation.

[0093] The above technical solution normalizes the current valve opening of valve mechanism 9 and the maximum allowable inlet pressure of the system, eliminating the dimensional differences between different parameters and standardizing the input values ​​to a uniform range. This facilitates fair comparison and combination of models and avoids adjustment deviations caused by inconsistent units. The generated current valve opening index and maximum allowable inlet pressure index represent the normalized values, simplifying the model calculation process and improving operability and versatility. The inlet flow buffer regulation model uses a formula combining the current valve opening index, the blockage risk index, and the maximum allowable inlet pressure index of the system, adjusting the strategy weight coefficients accordingly. Two dynamic equilibrium adjustment strategies: the first one The preference is to maintain the current opening level when risk is low, but to moderately reduce the opening level considering risk factors; (Second item) When the risk is high, pressure limiting should be prioritized, and the opening should be aggressively reduced to buffer the system load. (Non-zero minimum value) To prevent the denominator from reaching zero and ensure numerical stability, the maximum valve opening is used as a reference. The model outputs the target valve opening, achieving smooth transition and adaptive adjustment, comprehensively responding to real-time operating conditions, and improving system protection. This precise and adaptive flow control effectively buffers system pressure fluctuations, preventing pressure over-limits and equipment damage, thereby significantly improving the operational reliability and safety of wastewater treatment devices in water conservancy construction.

[0094] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A wastewater treatment device for water conservancy construction, comprising a water guide pipe (1), characterized in that, A filter screen plate (2) is fixedly connected in the water guide pipe (1). The water guide pipe (1) is equipped with a valve mechanism (9) to control the flow area of ​​the water guide pipe (1). The water guide pipe (1) is connected to a mechanism groove (5). A nozzle (6) is provided in the mechanism groove (5). A drive motor that can drive the nozzle (6) to rotate is provided outside the mechanism groove (5). The nozzle (6) is inclined towards the water inlet direction. The nozzle (6) can be connected to a water pump (7) and an air pump (8) at the same time. The water pump (7) is connected to the filtered clear water pool. The nozzle (6) is equipped with a water spray hole and an air spray hole. The spray direction of the nozzle (6) is towards the filter surface of the filter screen plate (2). An ultrasonic transducer is provided on the inner wall of the water guide pipe (1) around the filter screen plate (2). It also includes a filtration efficiency control system, which comprises: Filtration operating condition assessment module: Based on the sewage viscosity, sewage turbidity and sewage flow rate in the water guide pipe (1), a filtration operating condition load index model is constructed, and the operating condition load index is output: Cleaning efficiency evaluation module: Based on the backwash water pressure, backwash air pressure, spray angle between the nozzle (6) and the filter plate (2) and the ultrasonic power of the ultrasonic transducer, an instant cleaning efficiency index model is constructed and the cleaning efficiency index is output. Blockage status assessment module: Under the influence of the working load index, a blockage risk assessment model is constructed based on the pressure difference before and after the filter screen (2) and the cleaning efficiency index, and the blockage risk index is output; Cleaning intensity adjustment module: Based on the current ultrasonic power, operating load index and blockage risk index, a dynamic adjustment model for ultrasonic power is constructed, and the ultrasonic transducer power setting value is output.

2. The wastewater treatment device for water conservancy construction according to claim 1, characterized in that, The valve mechanism (9) includes: a housing (91), a motor (92), and a baffle plate (93); The water pipe (1) is connected to the housing (91), the housing (91) is fixedly connected to the motor (92), the output shaft of the motor (92) is threadedly connected to the baffle plate (93), and the baffle plate (93) is slidably connected in the housing (91).

3. The wastewater treatment device for water conservancy construction according to claim 1, characterized in that, The sewage viscosity, sewage turbidity, and sewage flow rate in the water pipe (1) are successively substituted into the maximum-minimum normalization formula for processing, and the viscosity index, turbidity index, and flow rate index are generated sequentially; in the filtration operating condition load index model: The viscosity index, turbidity index, and flow rate index are weighted and summed according to the pre-set weighting coefficients of each index. An interactive amplification term consisting of the product of the viscosity index, turbidity index, and flow rate index is introduced to adjust the weighted summation result, and finally the operating load index is calculated and output.

4. The wastewater treatment device for water conservancy construction according to claim 1, characterized in that, The backwash water pressure, backwash air pressure, and ultrasonic power of the ultrasonic transducer in the nozzle (6) are successively substituted into the maximum-minimum normalization formula for processing, and the backwash water pressure index, backwash air pressure index, and ultrasonic power index are generated in sequence; the difference between the actual spray angle between the nozzle (6) and the filter plate (2) and the optimal spray angle is subtracted, and the absolute value is divided by the spray angle range to obtain the spray angle index; in the instant cleaning efficiency index model: The mechanical cleaning component is obtained by weighted summation of the compensation values ​​of the backwash water pressure index, the backwash air pressure index, and the jet angle index. The mechanical cleaning component is then combined with the ultrasonic power index through a cleaning mode weighting coefficient to finally calculate and output the cleaning efficiency index.

5. The wastewater treatment device for water conservancy construction according to claim 1, characterized in that, The pressure difference across the filter screen (2) is substituted into the maximum-minimum normalization formula for normalization, and a pressure difference index is generated; in the blockage risk assessment model: Based on a risk composition weighting coefficient, the direct risk represented by the product of the differential pressure index and the operating load index, and the mitigated risk represented by the value obtained by dividing the differential pressure index by the cleaning efficiency index are weighted and combined to finally calculate and output the blockage risk index.

6. The wastewater treatment device for water conservancy construction according to claim 1, characterized in that, The current actual power of the ultrasonic transducer is substituted into the maximum-minimum normalization formula for processing, and the current power index is generated; in the ultrasonic power dynamic adjustment model: Based on the operating load index and the blockage risk index, the corresponding gain coefficients are adjusted and then added to the current power index to obtain a basic adjustment amount. This basic adjustment amount is compared with the upper limit value, and the smaller value is taken. Then, it is multiplied by the maximum allowable power of the ultrasonic transducer to finally calculate and output the power setting value of the ultrasonic transducer.

7. The wastewater treatment device for water conservancy construction according to claim 1, characterized in that, It also includes a system protection and regulation module, which can construct an inlet flow buffer regulation model based on the blockage risk index, the current valve opening of the valve mechanism (9), and the maximum allowable inlet pressure of the system, and output the target valve opening of the valve mechanism (9).

8. The wastewater treatment device for water conservancy construction according to claim 7, characterized in that, The current valve opening degree of the valve mechanism (9) and the maximum allowable inlet pressure of the system are substituted into the maximum-minimum normalization formula for normalization, and the current valve opening degree index and the maximum allowable inlet pressure index of the system are generated in sequence; in the inlet flow buffer regulation model: Based on an adjustment strategy weighting coefficient, the first strategy term and the second strategy term are weighted and combined; the first strategy term is composed of the compensation value of the current valve opening index and the blockage risk index, and the second strategy term is composed of the reduction coefficient determined by the ratio of the blockage risk index to the maximum inlet pressure index; the weighted combination result is multiplied by the maximum valve opening, and the target valve opening is finally calculated and output.

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