A control method for a surface washing system of a sedimentation tank inclined pipe and application thereof
By installing a mobile cleaning host and intelligent control module on the surface of the inclined tube in the sedimentation tank, and using dynamic pressure gradient water flow for targeted flushing, the problem of time-consuming, labor-intensive, and water-wasting traditional high-pressure water gun cleaning is solved, achieving a highly efficient and energy-saving inclined tube cleaning effect.
Patent Information
- Application Number
- CN202510809401.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-17
- Publication Date
- 2025-11-11
- Estimated Expiration
- 2045-06-17
AI Technical Summary
Traditional high-pressure water gun cleaning of inclined tubes in sedimentation tanks is time-consuming, labor-intensive, dangerous, and wasteful of water resources, and the cleaning effect is not good.
The mobile cleaning unit is equipped with a bidirectional rotating impeller assembly. The intelligent control module adjusts the dynamic pressure gradient water flow in real time to achieve targeted rinsing. Combined with the design of the clean water tank and guide rail, wastewater is recycled to avoid direct impact damage to the inclined tube. The intelligent control module also dynamically optimizes the rinsing parameters to improve cleaning efficiency.
It achieves thorough rinsing without blind spots, saves water resources, avoids mechanical damage to the inclined tube, improves cleaning effect, reduces energy consumption, and enhances the stability and reliability of the rinsing process.
Smart Images

Figure CN120393502B_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of sedimentation tank inclined tube cleaning technology, and in particular to a sedimentation tank inclined tube surface rinsing system and a control method for its application. Background Technology
[0002] The inclined tube sedimentation tank is a high-efficiency water treatment device designed based on shallow sedimentation theory. Its core principle is to improve sedimentation efficiency by shortening the particle settling distance and optimizing hydraulic conditions. Specifically, the sedimentation zone is divided into multiple thin-layer structures (inclined tubes or plates) to increase the effective sedimentation area and shorten the particle settling path. Theory shows that when the length of the sedimentation tank and the horizontal flow velocity are fixed, the shallower the tank, the easier it is to remove suspended particles.
[0003] Currently, with increasingly stringent environmental protection requirements and growing water scarcity, efficient and energy-saving cleaning of sedimentation tanks has become an important research direction. Traditional high-pressure water jet cleaning methods not only directly impact the inclined tubes (or plates), affecting their lifespan, but also require manual operation, which is time-consuming, labor-intensive, and inherently dangerous. Furthermore, traditional high-pressure water jet cleaning methods typically require draining water, resulting in water waste. Therefore, these methods are less effective at cleaning the inclined tubes in the sedimentation zone of the sedimentation tank, necessitating improvement. Summary of the Invention
[0004] To improve the cleaning effect of inclined tubes in the sedimentation zone of a sedimentation tank and save water resources, this application provides a sedimentation tank inclined tube surface flushing system and a control method for its application.
[0005] Firstly, the objective of this invention is achieved through the following technical solution:
[0006] A surface flushing system for inclined tubes in a sedimentation tank includes a mobile cleaning host installed in the top area of the inclined tubes in the sedimentation tank. The host is equipped with a bidirectional rotating impeller assembly. The impeller assembly generates a dynamic pressure gradient water flow through bidirectional rotation. The flow rate and direction parameters of the dynamic pressure gradient water flow are adjusted in real time by an intelligent control module to achieve targeted flushing of scale on the surface of the inclined tubes.
[0007] The mobile cleaning host automatically starts when the water level drops to a preset safe height after sludge discharge from the sedimentation tank, and achieves reciprocating cleaning by periodically switching the rotation direction of the impeller assembly; the mobile cleaning host is equipped with an intelligent control module, which acquires the working status information of the mobile cleaning host and adjusts the cleaning intensity mode of the mobile cleaning host based on the acquired cleaning intensity control command.
[0008] By adopting the above technical solution, the dynamic pressure gradient water flow generated by the bidirectional rotation of the impeller assembly (non-direct impact from a high-pressure water gun) removes scale from the surface of the inclined tube through targeted flushing. This non-direct contact flushing helps avoid mechanical damage to the inclined tube. Compared to the direct impact of traditional high-pressure water guns, this solution controls the water flow pressure gradient distribution, concentrating the water flow impact force in the scale-covered area (e.g., water flow impact force difference = 2-5 MPa), while the force on the inclined tube surface is ≤0.5 MPa, avoiding material fatigue damage. The intelligent control module adjusts the pressure gradient based on water quality... The parameters adjust the water flow pressure gradient and direction in real time, combined with the reciprocating cleaning mode of the mobile host, to form a thorough cleaning without dead angles. Compared with traditional high-pressure water guns that require water to be drained, this solution achieves the recycling of rinsing wastewater through the design of a clean water tank and guide rail, and there is no need to empty the sedimentation tank. In actual application, only 2-3 cm of water needs to be added. This application uses the waves generated by the impeller to flush and clean the inclined tube. The water waves are very gentle and will not damage the inclined tube, thereby improving the cleaning effect of the inclined tube in the sedimentation area of the sedimentation tank and saving water resources.
[0009] In a preferred embodiment of this application: a water purification tank is provided at the top of the sedimentation tank, and a guide rail is provided along the length of the water purification tank, with the mobile cleaning host movably mounted on the guide rail.
[0010] By adopting the above technical solution, the guide rail design allows the mobile cleaning host to move continuously along the length of the sedimentation tank, thereby improving the cleaning coverage efficiency.
[0011] Secondly, the objective of this invention is achieved through the following technical solution:
[0012] A control method for a surface flushing system of an inclined tube in a sedimentation tank, the method comprising:
[0013] The system acquires real-time water quality parameters of the sedimentation tank, monitoring data of the inclined tube structure, and dynamic pressure gradient flow parameters of the impeller assembly. The intelligent control module then calculates the initial parameters for targeted scouring of the impeller assembly.
[0014] During the operation of the flushing system according to the initial parameters, the water flow scouring velocity and sediment accumulation thickness on the inclined tube surface are collected in real time, and the deviation between the actual flushing effect and the preset flushing standard is calculated.
[0015] The deviation value is dynamically optimized by the flushing parameters to generate the correction control parameters for flushing the inclined tube surface;
[0016] Based on the aforementioned correction control parameters, the dynamic adjustment amount of flushing coverage under the current water quality conditions is calculated, and the bidirectional water flow pressure gradient parameters, rotation direction switching frequency, and flushing coverage range are adjusted synchronously.
[0017] By adopting the above technical solution, the targeted flushing parameters (bidirectional water flow pressure gradient, rotation frequency, and coverage range) of the impeller assembly are dynamically adjusted based on the intelligent control module; based on real-time water quality parameters and scaling monitoring data, the pressure gradient parameter ΔP is dynamically adjusted so that the high-pressure water flow concentrates on impacting the high-scaling area (flushing accuracy ±2cm), avoiding the ineffective flushing of the already cleaned area by the low-pressure water flow, thus achieving precise targeted flushing. Through the linkage between rotation frequency adjustment and coverage range, when the scale thickness gradient is detected to be greater than a certain level (e.g., G>5mm / m), the water flow coverage range is automatically expanded. Through the intelligent adjustment of the bidirectional water flow pressure gradient parameter, the mechanical wear caused by traditional fixed high-pressure impact is avoided.
[0018] In a preferred embodiment of this application, the step of calculating the dynamic adjustment amount of the flushing coverage under the current water quality conditions based on the correction control parameters, and simultaneously adjusting the bidirectional water flow pressure gradient parameters, the rotation direction switching frequency, and the flushing coverage range, specifically includes:
[0019] Based on the correction control parameters, obtain the dynamic pressure gradient water flow pressure difference and the viscous resistance coefficient corresponding to the current scale formation area of the inclined tube;
[0020] Based on the dynamic pressure gradient water flow pressure and the viscous drag coefficient, the targeted scour correction amount that the impeller assembly needs to compensate for is calculated comprehensively.
[0021] The bidirectional water flow pressure gradient parameters of the impeller assembly are adjusted according to the targeted flushing correction amount to control the impact duration of the high-pressure zone during the alternating forward and reverse rotation cycle; the rotation direction switching frequency of the impeller assembly is adjusted based on the impact duration of the high-pressure zone to dynamically match the water flow coverage area with the scale distribution area.
[0022] By adopting the above technical solution, correction control parameters were introduced, and combined with dynamic pressure gradient and viscous resistance analysis, precise compensation for flushing intensity was achieved. By adjusting the impact duration of the high-pressure zone and the frequency of rotation direction switching, the flushing water flow can be more effectively applied to highly polluted areas, significantly improving descaling efficiency, reducing ineffective energy consumption, and enhancing flushing response speed and targeting.
[0023] In a preferred embodiment of this application, the step of adjusting the water flow coverage range by switching the frequency according to the rotation direction further includes:
[0024] Real-time turbidity detection values and scouring uniformity index of each zone on the surface of the inclined tube are obtained;
[0025] Based on the turbidity value and uniformity index, calculate the gradient compensation amount of the impeller assembly deflection angle;
[0026] The wave-shaped water flow diffusion angle of the impeller assembly is adjusted based on the gradient compensation amount to achieve adaptive density distribution of the flushing water curtain.
[0027] By adopting the above technical solution and through the zone detection and adaptive adjustment mechanism, the spatial distribution of the flushing water curtain is intelligently controlled. The water flow diffusion angle is dynamically adjusted according to the degree of pollution and flushing uniformity in different areas, so that the flushing hydraulic resources are optimally allocated, and the problems of uneven or excessive flushing in some areas are solved.
[0028] In a preferred embodiment of this application, the waveform water flow diffusion angle θ is optimized and controlled by formula (1), which is shown below:
[0029] θ=k×arctan(v / α) (1)
[0030] Where θ represents the diffusion angle of the wave-shaped water flow, k is the diffusion coefficient (range 1.2-1.8), v is the linear velocity of the impeller assembly, and α is the deflection angle of the impeller assembly;
[0031] The flushing timing parameters of adjacent pipe sections are adjusted according to the impeller deflection angle α and the corresponding spacing between inclined pipe sections.
[0032] By adopting the above technical solutions, a mathematical model is established to dynamically calculate and optimize the diffusion angle of the waveform water flow, enabling the flushing water curtain to automatically adjust its coverage shape according to the impeller's operating status, achieving more precise spatial matching. At the same time, by combining the spacing of the inclined pipe sections and the deflection angle to adjust the flushing timing parameters, the spatial adaptability and temporal coordination of the flushing process are improved, effectively avoiding the problem of flushing blind spots caused by uneven water flow distribution or timing misalignment.
[0033] In a preferred embodiment of this application, the adjustment of the flushing timing parameters includes:
[0034] A sediment diffusion model for inclined tube surfaces was established to predict the risk of secondary deposition under different flushing sequences;
[0035] Optimize the flushing sequence and interval based on risk prediction results to reduce flushing energy consumption.
[0036] By adopting the above technical solution, a sediment diffusion model is introduced to simulate and predict secondary sedimentation phenomena that may be triggered during the flushing process, thereby guiding the selection of the optimal flushing sequence and time interval. Through intelligent optimization of the flushing sequence, not only is the risk of secondary pollution effectively reduced, but also the goal of energy conservation and consumption reduction is achieved.
[0037] In a preferred embodiment, this application further includes, after calculating the targeted scour correction amount to be compensated for by the impeller assembly based on the dynamic pressure gradient water flow pressure and the viscous drag coefficient:
[0038] The targeted scouring correction includes the high-pressure zone impact duration compensation value and the waveform water flow diffusion angle compensation value;
[0039] The targeted scouring correction amount is verified in multiple dimensions, a dynamic pressure field model of the scale distribution on the inclined tube surface is constructed, and the mutation analysis results of the current scale area are calculated. The mutation analysis results include the scale thickness gradient and the scouring efficiency decay rate.
[0040] Based on the scale thickness gradient and the scouring efficiency attenuation rate, the rotation direction switching frequency of the impeller assembly, the bidirectional water flow pressure gradient parameters, and the waveform water flow diffusion angle are adjusted in a hierarchical manner to generate multi-level correction regression parameters.
[0041] By adopting the above technical solutions and introducing a multi-dimensional verification mechanism and dynamic pressure field modeling method, the system achieves precise identification and graded response to flushing deviations. Through the analysis of scale thickness gradient and flushing efficiency decay rate, the complex scaling situation is transformed into quantifiable and controllable physical parameters. Based on this, a hierarchical correction control strategy is implemented, which significantly improves the system's ability to treat local high-pollution areas and enhances the stability and reliability of the flushing process.
[0042] In a preferred embodiment of this application, the control method further includes:
[0043] Obtain three-dimensional CT scan imaging data of each zone on the surface of the inclined tube, and construct a three-dimensional model of scale distribution;
[0044] In the three-dimensional model of scale distribution, mark quantitative structural abrupt change points and calculate the local scouring efficiency attenuation rate of the quantitative structural abrupt change points;
[0045] The flushing zones are prioritized based on the local flushing efficiency attenuation rate. High-priority zones are adjusted with priority adjustment of high-pressure impact duration compensation value, while low-priority zones are adjusted with waveform water flow diffusion angle compensation.
[0046] By adopting the above technical solution and introducing high-precision three-dimensional CT scanning technology, a digital model of scale distribution in inclined tubes was established, enabling visualization and quantitative analysis of the spatial distribution characteristics of scale. Based on this, by identifying structural abrupt change points and evaluating their local flushing efficiency attenuation rate, a scientifically sound priority division mechanism for flushing areas was formed. Differentiated compensation strategies were adopted for different priority areas, ensuring both efficient cleaning of key areas and overall energy efficiency balance.
[0047] Thirdly, the objective of this invention is achieved through the following technical solution:
[0048] A computer program product includes a computer program / instructions that, when executed by a processor, implement the steps of a control method as described above for a sedimentation tank inclined tube surface rinsing system.
[0049] In summary, this application includes at least one of the following beneficial technical effects:
[0050] 1. Combining the reciprocating cleaning mode of the mobile host, a thorough cleaning coverage is achieved. Compared with traditional high-pressure water guns that require water to be drained, this solution achieves wastewater recycling through the design of a clean water tank and guide rails, and there is no need to empty the sedimentation tank. In actual application, only 2-3 cm of water needs to be added. This application uses the waves generated by the impeller to flush and clean the inclined tube. The water waves are very gentle and will not damage the inclined tube, thereby improving the cleaning effect of the inclined tube in the sedimentation area of the sedimentation tank and saving water resources.
[0051] 2. High-precision 3D CT scanning technology was introduced to establish a digital model of scale distribution in inclined tubes, enabling visualization and quantitative analysis of the spatial distribution characteristics of scale. Based on this, by identifying structural abrupt change points and evaluating their local flushing efficiency attenuation rate, a scientific and reasonable flushing zone priority division mechanism was formed, and differentiated compensation strategies were adopted for different priority zones. Attached Figure Description
[0052] Figure 1 This is a schematic diagram of the structure of a sedimentation tank inclined tube surface rinsing system according to an embodiment of this application;
[0053] Figure 2 This is a flowchart of a control method applied to a surface rinsing system for inclined tubes in a sedimentation tank, according to one embodiment of this application. Detailed Implementation
[0054] The present application will be further described in detail below with reference to the accompanying drawings.
[0055] In one embodiment, such as Figure 1 As shown, this application discloses a surface flushing system for inclined tubes in a sedimentation tank. The system includes a mobile cleaning host installed at the top of the inclined tubes in the sedimentation tank. The host is equipped with a bidirectional rotating impeller assembly. The bidirectional rotating impeller is driven by a variable frequency motor (power 5-10kW), and the blade tilt angle is adjustable (30°-60°). During forward rotation, a high-pressure zone is generated (pressure Ppositive = 3-5MPa), and during reverse rotation, a low-pressure zone is formed (pressure Preverse = 0.5-1MPa). The impeller assembly generates a dynamic pressure gradient water flow through bidirectional rotation. The flow velocity and direction parameters of the dynamic pressure gradient water flow are adjusted in real time by an intelligent control module to achieve targeted flushing of scale on the inclined tube surface. Specifically, the pressure gradient is adjusted by a frequency converter to regulate the impeller speed (n = 1000-3000rpm), controlling the pressure difference ΔP between the high-pressure and low-pressure zones to be 2-4MPa. A clean water tank is installed at the top of the sedimentation tank, and a guide rail is installed along the length of the clean water tank. The mobile cleaning host is moved along the guide rail.
[0056] The mobile cleaning unit automatically starts when the water level drops to a preset safe height after sludge discharge from the sedimentation tank, and achieves reciprocating cleaning by periodically switching the rotation direction of the impeller assembly. The mobile cleaning unit is equipped with an intelligent control module, which acquires the working status information of the mobile cleaning unit and adjusts the cleaning intensity mode of the mobile cleaning unit based on the acquired cleaning intensity control command. When the scale thickness on the inclined tube surface is detected to be ≥1mm, the intelligent control module sends a command to the impeller assembly to rotate forward to impact the scaled area (impact duration such as 5 to 10 seconds), and then rotates in the reverse direction to peel off the loose deposits.
[0057] The cleaning intensity mode is divided into low intensity mode and high intensity mode. The low intensity mode is set at impeller speed n = 1000 rpm and ΔP = 2 MPa, which is suitable for light scaling (scale thickness δ < 1 mm on the inclined tube surface). The high intensity mode is set at n = 3000 rpm and ΔP = 4 MPa, which is suitable for heavy scaling (scale thickness δ > 3 mm on the inclined tube surface). The intelligent control module receives remote commands (such as "high pressure flushing" or "energy saving mode") via the Internet of Things, or automatically switches modes based on scaling monitoring data.
[0058] In one embodiment, such as Figure 2 As shown, a data processing method for an intelligent government service platform is provided. This method, applied to the aforementioned intelligent government service platform, specifically includes the following steps:
[0059] S1: Acquire real-time water quality parameters of the sedimentation tank, monitoring data of the inclined tube structure, and dynamic pressure gradient flow parameters of the impeller assembly. Calculate the initial parameters for targeted scouring of the impeller assembly through the intelligent control module.
[0060] In this embodiment, real-time water quality parameters are collected using water quality sensors (such as turbidity meters, pH meters, and conductivity meters) to measure data such as turbidity (NTU), pH value, and suspended solids concentration (mg / L) in the sedimentation tank water. For example, a turbidity sensor is installed at the inlet of the water purification tank to monitor changes in turbidity of the flushing wastewater in real time. The inclined tube structure monitoring data utilizes an ultrasonic thickness gauge or laser scanner to detect the scale thickness (δ) on the inclined tube surface, and a tilt angle sensor to monitor the inclined tube tilt angle (θ). For example, an ultrasonic thickness gauge scans the inclined tube surface with an accuracy of 0.1 mm to generate a thermal map of scale distribution. The impeller assembly dynamic parameters are collected via a frequency converter to measure impeller speed (n, in rpm), rotation direction (forward / reverse), and water pressure sensor data (pressure Ppositive in the high-pressure zone, pressure Preverse in the low-pressure zone).
[0061] Example: Pressure sensors are installed on both sides of the impeller assembly to provide real-time feedback of the pressure difference ΔP = Ppositive - Pnegative.
[0062] Specifically, the initial parameters for targeted scouring are calculated based on the following formula:
[0063] Where t c δ is the impact duration in the high-pressure zone (seconds); δ is the scale thickness on the inclined tube surface; v is the water flow velocity; ΔP is the pressure difference; D is the impeller diameter; η is the scale erosion efficiency (calibrated experimentally); f is the impeller rotation frequency (Hz); L is the flushing coverage width (meters); ω is the impeller deflection angular velocity (rad / s).
[0064] S2: During the operation of the flushing system according to the initial parameters, the water flow scouring velocity and sediment accumulation thickness on the inclined tube surface are collected in real time, and the deviation between the actual flushing effect and the preset flushing standard is calculated.
[0065] In this embodiment, the surface water scouring velocity is measured using particle image velocimetry (PIV) to determine the velocity distribution of the water flow on the inclined tube surface, thus obtaining the average scouring velocity v. The sediment accumulation thickness is monitored in real time using a gamma-ray attenuation method or a capacitive sensor to detect changes in sediment thickness Δδ on the inclined tube surface; the gamma-ray sensor is mounted on a mobile host and scans the inclined tube surface as it moves along the guide rail.
[0066] Specifically, the preset flushing standard can be determined by setting the target flushing efficiency ηtarget = 95%, that is, the remaining thickness after scale removal is ≤0.5mm. The actual flushing efficiency ηactual = 1 - (Δδ / δinitial) deviation value = ηtarget - ηactual.
[0067] S3: Dynamically optimize the flushing parameters for the deviation value to generate the correction control parameters for flushing the inclined tube surface.
[0068] In this embodiment, if ΔE is consistently < -10%, it is determined as "insufficient flushing"; if ΔE is > +10%, it is determined as "excessive flushing". The source of the deviation is analyzed by combining water quality parameters (such as a sudden increase in turbidity) and structural data (such as abnormal inclination angle of inclined tubes).
[0069] Specifically, a PID control model is adopted, and the proportional-integral-derivative (PID) algorithm is used to calculate the correction parameters: Among them, K p K i and ∫ΔEdt+K d These are the proportional, integral, and differential coefficients, respectively, calibrated experimentally. Dynamic optimization can employ a multi-objective optimization approach, minimizing energy consumption while ensuring scouring efficiency, such as the objective function: min∑P×t.
[0070] S4: Based on the correction control parameters, calculate the dynamic adjustment amount of flushing coverage under the current water quality conditions, and simultaneously adjust the bidirectional water flow pressure gradient parameters, rotation direction switching frequency, and flushing coverage range.
[0071] In this embodiment, step S4 includes:
[0072] S41: Based on the correction control parameters, obtain the dynamic pressure gradient, water flow pressure difference, and viscous resistance coefficient corresponding to the sediment accumulation thickness in the current inclined tube scaling area.
[0073] In this embodiment, the dynamic pressure gradient water flow pressure difference ΔP refers to the pressure difference between the high-pressure zone and the low-pressure zone generated by the forward and reverse rotation of the impeller assembly; the viscous drag coefficient (μ) refers to the viscous resistance characteristics of the deposits to the water flow, which is related to the scaling components (such as calcium carbonate and organic matter). The μ values of different scaling components (e.g., μ = 0.02 Pa·s for calcium carbonate, μ = 0.005 Pa·s for organic matter) are calibrated using a rheometer or empirical formula.
[0074] Specifically, Among them, F 结垢 The resistance (N) of the scale layer to water flow is calculated using the scale thickness δ and the viscous resistance coefficient μ. 结垢 =μ×v×A 冲击面 A 冲击面 The effective impact area (m²) when the impeller assembly rotates in the forward direction. 2 ).
[0075] S42: Based on the dynamic pressure gradient, water flow pressure, and viscous resistance coefficient, calculate the targeted scour correction amount that the impeller assembly needs to compensate for.
[0076] In this embodiment, the targeted scour correction amount includes the high-pressure zone impact duration compensation value Δt. c And the compensation value Δθ for the wave-shaped water flow diffusion angle. Wherein, Where k1 is the compensation coefficient, which can take a value of 1.5; t c,阈值 The preset high-pressure impact reference duration (e.g., 5 seconds). Where k2 is the diffusion angle adjustment coefficient (e.g., 0.01 rad / NTU), and L1 is the spacing between inclined pipe sections. Targeted scouring correction amount.
[0077] S43: Adjust the bidirectional water flow pressure gradient parameters of the impeller group according to the targeted flushing correction amount to control the impact duration of the high-pressure zone during the alternating forward and reverse rotation cycle; adjust the rotation direction switching frequency of the impeller group based on the impact duration of the high-pressure zone to dynamically match the water flow coverage area with the scale distribution area.
[0078] In this embodiment, the pressure in the high-pressure zone (Ppositive) is typically 3-5 MPa (achieved by adjusting the impeller speed via a frequency converter). The pressure in the low-pressure zone (Preverse) is typically 0.5-1 MPa (pressure drops due to the release of water flow energy during reverse rotation); the switching frequency f is inversely proportional to the period T. The diffusion angle is adjusted by changing the impeller deflection angle α based on Δθ: α = α0 + Δθ, where α0 is the initial deflection angle (e.g., 30°).
[0079] Specifically, the diffusion angle θ of the waveform water flow is optimized and controlled by formula (1), which is shown below:
[0080] θ=k×arctan(v / α) (1)
[0081] Where θ represents the diffusion angle of the wave-shaped water flow, k is the diffusion coefficient (range 1.2-1.8), v is the linear velocity of the impeller assembly, and α is the deflection angle of the impeller assembly.
[0082] After calculating the diffusion angle θ according to formula (1), adjust the impeller forward and reverse rotation switching cycle:
[0083] N represents the percentage of high-pressure zones in each cycle (e.g., if θ = 60°, N = 1 / 6).
[0084] Based on turbidity value T i With uniformity index U i Calculate the deflection angle α:
[0085] The flushing width L is related to the diffusion angle θ and the impeller speed v:
[0086] S400: Adjust the flushing timing parameters of adjacent pipe sections according to the impeller deflection angle α and the corresponding spacing of inclined pipe sections.
[0087] In this embodiment, adjusting the rinsing timing parameters includes:
[0088] S4001: Establish a sediment diffusion model on the surface of the inclined tube to predict the risk of secondary deposition under different flushing sequences.
[0089] Specifically, the sediment diffusion model on the inclined tube surface is based on a one-dimensional convection-diffusion equation to predict the risk of secondary deposition: Where C is the suspended solids concentration; D is the diffusion coefficient; v is the water flow velocity, calculated from the impeller rotational linear velocity and the inclined tube angle (v=ω×R×sinθ1, where ω is the angular velocity, R is the impeller radius, and θ1 is the inclined tube angle); it is calculated through experimental calibration (such as dye tracer method) or empirical formula (such as D=0.1×v^0.8).
[0090] Specifically, in the risk prediction calculation, the scale thickness distribution before flushing is first set as C(x, 0) = C0 (obtained by an ultrasonic thickness gauge); the flushing boundary condition is: assuming that the deposit concentration drops to a critical value C at the end of the flushing. 临界 (e.g. C) 临界=10mg / L). The convection-diffusion equation is solved using the finite difference method or the finite element method to obtain the sediment concentration distribution C(x,t) at different time points. For example, if the inclined tube spacing L = 4m and the flushing interval t 间隔 =10 minutes, the initial concentration C of the downstream pipe section was calculated. 下游 (0) = 50 mg / L, then the probability of secondary deposition risk P 风险 =75%.
[0091] S4002: Optimize the flushing sequence and interval based on risk prediction results to reduce flushing energy consumption.
[0092] Specifically, set risk thresholds:
[0093] High risk (P) 风险 >80%): Requires priority rinsing;
[0094] Medium risk (30%) <P 风险 ≤80%): Rinse in the usual order;
[0095] Low risk (P) 风险 ≤30%): Extend the rinsing interval.
[0096] For example, the concentration C downstream of pipe segment A. 下游 (0) = 80 mg / L → High risk, prioritize flushing;
[0097] downstream concentration C of pipe section B 下游 (0) = 20 mg / L → Low risk, interval extended to 20 minutes.
[0098] In this embodiment, the optimization strategy is formulated with minimizing total energy consumption as the objective function:
[0099] The objective function is: Among them, P i The flushing power (kW) of the i-th pipe segment; t i E represents the actual rinsing time. 等待 The standby power consumption of the equipment (kW) is set as follows: the remaining scale thickness after flushing is ≤0.5mm; the flushing overlap rate of adjacent pipe sections is ≥15%.
[0100] In one embodiment, after step S42, a control method for a sedimentation tank inclined tube surface rinsing system further includes:
[0101] S421: Targeted scouring correction includes compensation values for the impact duration in the high-pressure zone and for the waveform flow diffusion angle.
[0102] S422: Perform multi-dimensional verification of the targeted scouring correction amount, construct a dynamic pressure field model of the scale distribution on the inclined tube surface, calculate the mutation analysis results of the current scale area, and the mutation analysis results include the scale thickness gradient and the scouring efficiency decay rate.
[0103] In this embodiment, the scale thickness distribution δ(x, y) (obtained via 3D CT scanning); the dynamic pressure gradient water flow pressure difference ΔP(x, y); and the viscous drag coefficient μ(x, y) are obtained. Structural thickness gradient. This represents the change in scale thickness per unit distance (mm / m). Local scouring efficiency attenuation rate. Where α C The erosion resistance coefficient of the material (e.g., 0.05 mm- 1 ).
[0104] Specifically, different scaling gradients (G = 2-10 mm / m) were simulated in the laboratory, and the actual flushing efficiency η was measured; the model prediction value was compared with the experimental value, and the error rate was controlled to be ≤ ±8%.
[0105] S423: Based on the scale thickness gradient and the scouring efficiency attenuation rate, the impeller assembly's rotation direction switching frequency, bidirectional water flow pressure gradient parameters, and waveform water flow diffusion angle are adjusted in a hierarchical manner to generate multi-level correction regression parameters.
[0106] In this embodiment, the criteria for determining a high-risk area are: if G > 5 mm / m or β < 0.8, it is determined to be a high-risk area, and the high-pressure impact duration (Δt) is adjusted first. c If G≤2mm / m, adjust the diffusion angle (Δθ) first.
[0107] Specifically, the multi-level correction regression parameters include the first-level adjustment of high-pressure impact parameters, the second-level adjustment of diffusion angle, and the third-level coordinated adjustment of rotation frequency. A preset structural gradient threshold, such as 5 mm / m, is established, and adjustment formulas corresponding to the high-pressure impact parameters are set. These formulas are used to adjust the high-pressure impact parameters. Similarly, adjustment formulas for the diffusion angle parameters are set based on different scaling gradients.
[0108] For example, the formula for adjusting the high-pressure impact parameter is set as follows: G 阈值 The preset scaling gradient threshold is used. The diffusion angle adjustment formula is: The adjustment formula for coordinated rotation frequency regulation is: Multi-level parameter combination refers to generating parameters that include Δt c , Δθ, f ’ The set of corrective regression parameters.
[0109] In one embodiment, a control method for a sedimentation tank inclined tube surface rinsing system includes:
[0110] S10: Obtain three-dimensional CT scan imaging data of each zone on the surface of the inclined tube and construct a three-dimensional model of scale distribution.
[0111] In this embodiment, a nanometer-resolution device (such as the GE Phoenix v|tome|xs) is used, with a scanning accuracy of ≤0.1mm. 3 The scanning range covers the entire length of the inclined tube, obtaining three-dimensional CT scan imaging data.
[0112] Specifically, Geomagic Studio software was used for noise reduction, hole filling, and surface reconstruction to generate a three-dimensional model of the scale distribution on the inclined tube surface.
[0113] S20: Mark quantitative structural abrupt change points in the three-dimensional model of scale distribution, and calculate the local scouring efficiency attenuation rate of quantitative structural abrupt change points.
[0114] In this embodiment, the quantitative structural mutation point is marked as a region with gradient G > 5 mm / m in the three-dimensional model as a mutation point (e.g., highlighted in red).
[0115] Specifically, the rate of decrease in local scouring efficiency Where α C The erosion resistance coefficient of the material (e.g., 0.05 mm- 1 ).
[0116] S30: The priority of flushing areas is divided according to the local flushing efficiency attenuation rate. High priority areas are adjusted with priority adjustment of high pressure impact duration compensation value, while low priority areas are adjusted with waveform water flow diffusion angle compensation.
[0117] In this embodiment, high priority is local scouring efficiency attenuation rate β < 0.6 (scouring efficiency attenuation > 40%); low priority is β ≥ 0.6.
[0118] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.
[0119] In one embodiment, particularly according to embodiments of the invention, the processes described above with reference to the flowchart can be implemented as a computer software program. For example, embodiments of the invention include a computer program product comprising a computer program / instructions that, when executed by a processor, implement the steps of a control method applied to a sedimentation tank inclined tube surface rinsing system as described. In such embodiments, the computer program can be downloaded and installed from a network via a communication module, and / or installed from a removable medium. When the computer program is executed by a central processing unit (CPU), it performs the various functions defined in this invention.
[0120] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is used as an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.
[0121] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.
Claims
1. A control method for a surface flushing system of an inclined tube in a sedimentation tank, characterized in that, The sedimentation tank inclined tube surface flushing system includes a mobile cleaning host set in the top area of the sedimentation tank inclined tube. The host is equipped with a bidirectional rotating impeller assembly. The impeller assembly generates a dynamic pressure gradient water flow through bidirectional rotation. The flow rate and direction parameters of the dynamic pressure gradient water flow are adjusted in real time by an intelligent control module to achieve targeted flushing of scale on the inclined tube surface. The mobile cleaning host automatically starts when the water level drops to a preset safe height after the sedimentation tank is sludge discharged, and achieves reciprocating cleaning by periodically switching the rotation direction of the impeller assembly; the mobile cleaning host is equipped with an intelligent control module, which acquires the working status information of the mobile cleaning host and adjusts the cleaning intensity mode of the mobile cleaning host based on the acquired cleaning intensity control command. The methods include: The system acquires real-time water quality parameters of the sedimentation tank, monitoring data of the inclined tube structure, and dynamic pressure gradient flow parameters of the impeller assembly. The intelligent control module then calculates the initial parameters for targeted scouring of the impeller assembly. During the operation of the flushing system according to the initial parameters, the water flow scouring velocity and sediment accumulation thickness on the inclined tube surface are collected in real time, and the deviation between the actual flushing effect and the preset flushing standard is calculated. The deviation value is dynamically optimized by the flushing parameters to generate the correction control parameters for flushing the inclined tube surface; Based on the aforementioned correction control parameters, calculate the dynamic adjustment amount of the flushing coverage under the current water quality conditions, and simultaneously adjust the bidirectional water flow pressure gradient parameters, rotation direction switching frequency, and flushing coverage range; specifically including: Based on the correction control parameters, obtain the dynamic pressure gradient water flow pressure difference and the viscous resistance coefficient corresponding to the current scale formation area of the inclined tube; Based on the dynamic pressure gradient water flow pressure and the viscous drag coefficient, the targeted scour correction amount that the impeller assembly needs to compensate for is calculated comprehensively. The bidirectional water flow pressure gradient parameters of the impeller assembly are adjusted according to the targeted flushing correction amount to control the impact duration of the high-pressure zone during the alternating forward and reverse rotation cycle; the rotation direction switching frequency of the impeller assembly is adjusted based on the impact duration of the high-pressure zone to dynamically match the water flow coverage area with the scale distribution area.
2. The control method for a surface flushing system of an inclined tube in a sedimentation tank according to claim 1, characterized in that, The step of calculating the dynamic adjustment amount of flushing coverage under the current water quality conditions based on the correction control parameters, and simultaneously adjusting the bidirectional water flow pressure gradient parameters, rotation direction switching frequency, and flushing coverage range includes: Real-time turbidity detection values and scouring uniformity index of each zone on the surface of the inclined tube are obtained; Based on the turbidity detection value and the scouring uniformity index, the gradient compensation amount of the impeller assembly deflection angle is calculated; The wave-shaped water flow diffusion angle of the impeller assembly is adjusted based on the gradient compensation amount to achieve adaptive density distribution of the flushing water curtain.
3. The control method for a surface flushing system of an inclined tube in a sedimentation tank according to claim 1, characterized in that, After comprehensively calculating the targeted scour correction amount that the impeller assembly needs to compensate for based on the dynamic pressure gradient water flow pressure and the viscous drag coefficient, the following steps are also included: The targeted scouring correction includes the high-pressure zone impact duration compensation value and the waveform water flow diffusion angle compensation value; The targeted scouring correction amount is verified in multiple dimensions, a dynamic pressure field model of the scale distribution on the inclined tube surface is constructed, and the mutation analysis results of the current scale area are calculated. The mutation analysis results include the scale thickness gradient and the scouring efficiency decay rate. Based on the scale thickness gradient and the scouring efficiency attenuation rate, the rotation direction switching frequency of the impeller assembly, the bidirectional water flow pressure gradient parameters, and the waveform water flow diffusion angle are adjusted in a hierarchical manner to generate multi-level correction regression parameters.
4. The control method for a surface flushing system of an inclined tube in a sedimentation tank according to claim 3, characterized in that, The control method further includes: Obtain three-dimensional CT scan imaging data of each zone on the surface of the inclined tube, and construct a three-dimensional model of scale distribution; In the three-dimensional model of scale distribution, mark quantitative structural abrupt change points and calculate the local scouring efficiency attenuation rate of the quantitative structural abrupt change points; The flushing zones are prioritized based on the local flushing efficiency attenuation rate. High-priority zones are adjusted with priority adjustment of the high-pressure zone impact duration compensation value, while low-priority zones are adjusted with waveform water flow diffusion angle compensation.
5. A computer program product, comprising a computer program / instructions, characterized in that, When executed by a processor, the computer program / instruction implements the steps of a control method for a sedimentation tank inclined tube surface rinsing system as described in any one of claims 1 to 4.
Citation Information
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