Sedimentation tank inclined tube surface flushing system and control method applied by same

Abstract

The invention discloses a sedimentation tank inclined pipe surface flushing system and a control method applied by the sedimentation tank inclined pipe surface flushing system, and relates to the technical field of sedimentation tank inclined pipe cleaning. The system comprises a movable cleaning main machine arranged in the top area of a sedimentation tank inclined pipe, the main machine carries an impeller set capable of rotating in two directions, and the impeller set generates dynamic pressure gradient water flow through two-way rotation; the flow speed and direction parameters of the dynamic pressure gradient water flow are adjusted in real time through the intelligent control module, and targeted washing of scale on the surface of the inclined pipe is achieved. The movable cleaning main machine is automatically started when the water level drops to the preset safety height after sludge is discharged from the sedimentation tank, and reciprocating cleaning is achieved through periodical switching of the rotation direction of the impeller set. The mobile cleaning host is provided with an intelligent control module, and the intelligent control module obtains working state information of the mobile cleaning host and adjusts a cleaning strength mode of the mobile cleaning host based on an obtained cleaning strength control instruction; the cleaning effect on the inclined pipe of the sedimentation area of the sedimentation tank is improved, and water resources are saved.

Description

Technical Field

[0001] This application relates to the technical field of inclined tube cleaning in sedimentation tanks, and in particular to a surface flushing system for inclined tubes in sedimentation tanks and a control method for its application. Background Art

[0002] The inclined tube of a sedimentation tank is an efficient water treatment device designed based on the theory of shallow sedimentation. Its core principle is to improve the sedimentation efficiency by shortening the particle sedimentation distance and optimizing the hydraulic conditions. Specifically, the sedimentation area is divided into multiple thin-layer structures (inclined tubes or inclined plates), increasing the effective sedimentation area and shortening the particle sedimentation path. The theory shows that when the length and horizontal flow velocity of the sedimentation tank are fixed, the shallower the tank depth, the easier it is to remove suspended solid particles.

[0003] Currently, with the improvement of environmental protection requirements and the increasing shortage of water resources, how to efficiently and energy-savingly clean sedimentation tanks has become an important research direction. The traditional high-pressure water gun cleaning method not only directly impacts the inclined tubes (or inclined plates), affecting their service life, but also requires manual operation, which is time-consuming and laborious and poses certain risks. In addition, the traditional high-pressure water gun cleaning method usually requires water discharge operations, resulting in waste of water resources. Therefore, there are defects in the poor cleaning effect of the inclined tubes in the sedimentation area of the sedimentation tank, and improvement is urgently needed. Summary of the Invention

[0004] In order to improve the cleaning effect of the inclined tubes in the sedimentation area of the sedimentation tank and save water resources, this application provides a surface flushing system for inclined tubes in sedimentation tanks and a control method for its application.

[0005] In the first aspect, the invention object of this application is achieved by adopting the following technical solutions: A surface flushing system for inclined tubes in a sedimentation tank, including a mobile cleaning host arranged in the top area of the inclined tubes in the sedimentation tank. The host is equipped with an impeller group that can rotate bidirectionally. The impeller group 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 scouring of the scale on the surface of the inclined tubes. The mobile cleaning host automatically starts when the water level in the sedimentation tank drops to a preset safe height after sludge discharge, and realizes reciprocating cleaning through periodic switching of the rotation direction of the impeller group. The mobile cleaning host is provided with an intelligent control module, which acquires the working state information of the mobile cleaning host and adjusts the cleaning intensity mode of the mobile cleaning host based on the acquired cleaning intensity control instruction.

[0006] By adopting the above technical solution, the dynamic pressure gradient water flow generated by the bidirectional rotation of the impeller group (instead of the direct impact of a high-pressure water gun) is used to remove the scale on the surface of the inclined tube in a targeted scouring manner. Without direct contact flushing, it is beneficial to avoid mechanical damage to the inclined tube. Compared with the direct impact of the traditional high-pressure water gun, in this solution, through the control of the water flow pressure gradient distribution, the water flow impact force is concentrated on the scaling area (such as the water flow impact force difference = 2 - 5 MPa), while the force on the surface of the inclined tube ≤ 0.5 MPa, avoiding material fatigue damage; through the intelligent control module, the water flow pressure gradient and direction are adjusted in real time according to the water quality parameters, combined with the reciprocating cleaning mode of the mobile main machine, to form a flushing coverage without dead angles. Compared with the traditional high-pressure water gun that requires water discharge operation, in this solution, through the design of the water purification tank and the guide rail, the flushing wastewater is recycled, and there is no need to empty the sedimentation tank. In actual application, only 2 - 3 cm of water needs to be discharged. The waves generated by the impeller in this application scour and clean the inclined tube. The water waves are very gentle and will not cause damage to the inclined tube, thus achieving the improvement of the cleaning effect of the inclined tube in the sedimentation area of the sedimentation tank and saving water resources.

[0007] In a preferred example of this application: a water purification tank is provided at the top of the sedimentation tank, a guide rail is arranged along the length direction of the water purification tank, and the mobile cleaning main machine is movably arranged on the guide rail.

[0008] By adopting the above technical solution, the guide rail design enables the mobile cleaning main machine to continuously move along the length direction of the sedimentation tank, improving the cleaning coverage efficiency.

[0009] In the second aspect, the invention object of this application is achieved by adopting the following technical solution: A control method applied to a flushing system for the surface of inclined tubes in a sedimentation tank, the method includes: Obtain the real-time water quality parameters of the sedimentation tank, the inclined tube structure monitoring data, and the dynamic pressure gradient water flow parameters of the impeller group, and calculate the initial parameters of the targeted scouring of the impeller group through the intelligent control module; During the operation of the flushing system according to the initial parameters, the water flow scouring speed and the sediment accumulation thickness on the surface of the inclined tube are collected in real time, and the deviation value between the actual scouring effect and the preset scouring standard is calculated; Perform dynamic optimization processing on the deviation value to generate the deviation correction control parameters for the flushing of the inclined tube surface; According to the deviation correction control parameters, calculate the dynamic adjustment amount of the flushing coverage under the current water quality conditions, and synchronously adjust the bidirectional water flow pressure gradient parameters, the rotation direction switching frequency, and the flushing coverage range.

[0010] By adopting the above technical solution, the targeted scouring parameters (bidirectional water flow pressure gradient, rotation frequency, coverage range) of the impeller group are dynamically adjusted based on the intelligent control module; based on the real-time water quality parameters and scale formation monitoring data, the pressure gradient parameter ΔP is dynamically adjusted to make the high-pressure water flow concentrate on scouring the high-scale area (scouring accuracy ±2 cm), avoiding the ineffective scouring of the low-pressure water flow on the already cleaned area, achieving precise targeted scouring. Through the linkage of rotation frequency adjustment and coverage range, when the detected scale thickness gradient is greater than a certain degree (such as G > 5 mm / m), the water flow coverage range is automatically expanded. Through the intelligent adjustment of the bidirectional water flow pressure gradient parameter, mechanical wear caused by traditional fixed high-pressure impact is avoided.

[0011] In a preferred example of the present application: calculating the dynamic adjustment amount of the flushing coverage under the current water quality conditions according to the deviation correction control parameter, and synchronously adjusting the bidirectional water flow pressure gradient parameter, the rotation direction switching frequency and the flushing coverage range, specifically including: According to the deviation correction control parameter, obtaining the dynamic pressure gradient water flow pressure difference in the current inclined tube scale formation area and the viscous resistance coefficient corresponding to the sediment accumulation thickness; Based on the dynamic pressure gradient water flow pressure and the viscous resistance coefficient, comprehensively calculating the targeted scouring correction amount to be compensated by the impeller group; Adjusting the bidirectional water flow pressure gradient parameter of the impeller group according to the targeted scouring correction amount, and controlling the impact duration of the high-pressure area within the positive and negative rotation alternating cycle; adjusting the rotation direction switching frequency of the impeller group based on the impact duration of the high-pressure area, so that the water flow coverage range dynamically matches the scale distribution area.

[0012] By adopting the above technical solution, the deviation correction control parameter is introduced, and through the combination of dynamic pressure gradient and viscous resistance analysis, precise compensation for the flushing intensity is achieved; by adjusting the impact duration of the high-pressure area and the rotation direction switching frequency, the flushing water flow can act more effectively on the highly polluted area, significantly improving the descaling efficiency, reducing the ineffective energy consumption, and enhancing the flushing response speed and pertinence.

[0013] In a preferred example of the present application: the adjusting the water flow coverage range according to the rotation direction switching frequency further includes: Obtaining the real-time turbidity detection values and scouring uniformity indexes of each partition on the inclined tube surface; Calculating the gradient compensation amount of the deflection angle of the impeller group according to the turbidity value and the uniformity index; Based on the gradient compensation amount, adjusting the waveform water flow diffusion angle of the impeller group to achieve the adaptive distribution of the density of the flushing water curtain.

[0014] By adopting the above technical solution, through the partition detection and adaptive adjustment mechanism, the intelligent control of the spatial distribution of the flushing water curtain is realized. The water flow diffusion angle is dynamically adjusted according to the pollution degree and scouring uniformity of different regions, so that the flushing hydraulic resources are optimally allocated, and the problems of uneven local flushing or excessive flushing are solved.

[0015] In a preferred example of the present application: the waveform water flow diffusion angle θ is optimized and controlled by the formula (1), and the formula (1) is as follows: θ = k × arctan(v / α) (1) Wherein, θ represents the waveform water flow diffusion angle, k is the diffusion coefficient (the value range is 1.2 - 1.8), v is the linear velocity of the impeller group rotation, and α is the deflection angle of the impeller group; According to the deflection angle α of the impeller group and the corresponding inclined tube section spacing, the flushing timing parameters of adjacent sections are adjusted.

[0016] By adopting the above technical solution, a mathematical model is established to dynamically calculate and optimize the control of the waveform water flow diffusion angle, so that the flushing water curtain can automatically adjust the coverage form according to the impeller operation state, realizing a more accurate spatial matching; at the same time, the flushing timing parameters are adjusted in combination with the inclined tube section spacing and the deflection angle, improving the spatial adaptability and time coordination of the flushing process, and effectively avoiding the flushing blind area problem caused by uneven water flow distribution or timing misalignment.

[0017] In a preferred example of the present application: the adjusting the flushing timing parameters includes: Establish a diffusion model of the sediment on the inclined tube surface to predict the risk of secondary deposition under different flushing timings; Optimize the flushing sequence and interval time of the sections based on the risk prediction results to reduce the flushing energy consumption.

[0018] By adopting the above technical solution, a sediment diffusion model is introduced to simulate and predict the possible secondary deposition phenomenon during the flushing process, so as to guide the selection of the optimal flushing sequence and time interval. Through the intelligent optimization of the flushing timing, not only the risk of secondary pollution is effectively reduced, but also the goal of energy saving and consumption reduction is achieved.

[0019] In a preferred example of the present application: after comprehensively calculating the target scouring correction amount that the impeller group needs to compensate according to the dynamic pressure gradient water flow pressure and the viscous resistance coefficient, it further includes: The target scouring correction amount includes the impact duration compensation value in the high-pressure area and the waveform water flow diffusion angle compensation value; Perform multi-dimensional verification on the target scouring correction amount, construct a dynamic pressure field model of the scale distribution on the inclined tube surface, and calculate the mutation analysis results of the current scaling area. The mutation analysis results include the scale thickness gradient and the scouring efficiency decay rate; According to the fouling thickness gradient and the erosion efficiency decay rate, the rotation direction switching frequency of the impeller group, the bidirectional water flow pressure gradient parameter, and the waveform water flow diffusion angle are adjusted in a hierarchical deviation correction manner to generate multi-level deviation correction regression parameters.

[0020] By adopting the above technical solution, a multi-dimensional verification mechanism and a dynamic pressure field modeling method are introduced, realizing the precise identification and hierarchical response of flushing deviation. Through the analysis of the fouling thickness gradient and the erosion efficiency decay rate, the complex fouling situation is transformed into quantifiable and controllable physical parameters, and based on this, a hierarchical deviation correction control strategy is implemented, significantly improving the targeted treatment ability of the system for local high-pollution areas and enhancing the stability and reliability of the flushing process.

[0021] In a preferred example of the present application: The control method further includes: Obtain the three-dimensional CT scan imaging data of each partition on the surface of the inclined tube, and construct a three-dimensional fouling distribution model; Mark quantitative structure mutation points in the three-dimensional fouling distribution model, and calculate the local erosion efficiency decay rate of the quantitative structure mutation points; According to the local erosion efficiency decay rate, divide the priority levels of the flushing areas, and preferentially adjust the high-pressure impact duration compensation value for high-priority areas, and use the waveform water flow diffusion angle compensation adjustment for low-priority areas.

[0022] By adopting the above technical solution, a high-precision three-dimensional CT scanning technology is introduced, a digital model of the inclined tube fouling distribution is established, and the visualization and quantitative analysis of the spatial distribution characteristics of fouling are realized. On this basis, by identifying the structure mutation points and evaluating their local erosion efficiency decay rate, a scientific and reasonable flushing area priority division mechanism is formed, and different compensation strategies are adopted for different priority areas, which not only ensures the efficient cleaning of key areas but also takes into account the overall energy efficiency balance.

[0023] In the third aspect, the invention object of the present application is achieved by adopting the following technical solution: A computer program product includes a computer program / instructions, and when the computer program / instructions are executed by a processor, the steps of the control method for a flushing system applied to the surface of an inclined tube in a sedimentation tank as described above are realized.

[0024] In summary, the present application includes at least one of the following beneficial technical effects: 1. Combining with the reciprocating cleaning mode of the mobile host to form a dead - angle - free coverage flushing. Compared with the traditional high - pressure water gun that requires water discharge for operation, this solution realizes the recycling of flushing wastewater through the design of the water purification tank and the guide rail, and there is no need to empty the sedimentation tank. In actual application, only 2 - 3 cm of water needs to be discharged. Through the waves generated by the impeller, the inclined tubes are scoured and cleaned. The water waves are very gentle and will not damage the inclined tubes, thus achieving the improvement of the cleaning effect of the inclined tubes in the sedimentation area of the sedimentation tank and saving water resources; 2. Introducing high - precision three - dimensional CT scanning technology, a digital model of the scale formation distribution on the inclined tubes is established, realizing the visualization and quantitative analysis of the spatial distribution characteristics of scale formation. On this basis, by identifying the structural mutation points and evaluating the attenuation rate of the local scouring efficiency, a scientific and reasonable priority division mechanism for flushing areas is formed, and different compensation strategies are adopted for different priority areas. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 is a schematic structural diagram of a surface flushing system for inclined tubes in a sedimentation tank in an embodiment of the present application; Figure 2 is a flowchart of a control method applied to a surface flushing system for inclined tubes in a sedimentation tank in an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0026] The present application will be further described in detail below with reference to the accompanying drawings.

[0027] In one embodiment, as Figure 1 shown, the present application discloses a surface flushing system for inclined tubes in a sedimentation tank. The system includes a mobile cleaning host arranged in the top area of the inclined tubes in the sedimentation tank. The host is equipped with a bidirectional - rotating impeller group. The bidirectional - rotating impeller is driven by a variable - frequency motor (power 5 - 10 kW), and the blade inclination angle is adjustable (30° - 60°). When rotating forward, a high - pressure area is generated (pressure P_pos = 3 - 5 MPa), and when rotating backward, a low - pressure area is formed (pressure P_neg = 0.5 - 1 MPa); the impeller group 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 the intelligent control module to achieve targeted scouring of the scale on the surface of the inclined tubes; specifically, the pressure - gradient adjustment is achieved by adjusting the impeller speed (n = 1000 - 3000 rpm) through a frequency converter, and controlling the pressure difference ΔP between the high - pressure area and the low - pressure area to be 2 - 4 MPa. A water purification tank is arranged at the top of the sedimentation tank. The water purification tank is provided with a guide rail along the length direction, and the mobile cleaning host is movably arranged on the guide rail.

[0028] The mobile cleaning host automatically starts when the water level in the sedimentation tank drops to the preset safe height after sludge discharge, and realizes reciprocating cleaning through the periodic switching of the rotation direction of the impeller group; the mobile cleaning host is provided with an intelligent control module, which acquires the working state information of the mobile cleaning host and adjusts the cleaning intensity mode of the mobile cleaning host based on the acquired cleaning intensity control instruction; when it is detected that the scaling thickness on the inclined tube surface ≥ 1 mm, the intelligent control module sends an instruction to the impeller group to rotate forward to impact the scaling area (the impact duration is 5 to 10 seconds), and then rotate backward to peel off the loose sediment.

[0029] The intensity grading of the cleaning intensity mode includes a low-intensity mode and a high-intensity mode. Among them, the low-intensity mode is when the impeller speed n = 1000 rpm and ΔP = 2 MPa, which is applicable to mild scaling (the scaling thickness δ on the inclined tube surface < 1 mm); the high-intensity mode is n = 3000 rpm and ΔP = 4 MPa, which is applicable to severe scaling (the scaling thickness δ on the inclined tube surface > 3 mm); the intelligent control module receives remote instructions (such as "high-pressure flushing" or "energy-saving mode") through the Internet of Things, or automatically switches the mode according to the scaling monitoring data.

[0030] In one embodiment, as Figure 2 shown, a data processing method applied to an intelligent government service platform is provided. This data processing method applied to an intelligent government service platform is applied to the above-mentioned intelligent government service platform, and specifically includes the following steps: S1: Obtain the real-time water quality parameters of the sedimentation tank, the inclined tube structure monitoring data, and the dynamic pressure gradient water flow parameters of the impeller group, and calculate the initial parameters of the targeted scouring of the impeller group through the intelligent control module.

[0031] In this embodiment, the real-time water quality parameters collect data such as the turbidity (NTU), pH value, and suspended solid concentration (mg / L) of the sedimentation tank water through water quality sensors (such as turbidimeters, pH meters, conductivity meters). For example, a turbidity sensor is installed at the entrance of the water purification tank to monitor the turbidity change of the flushing wastewater in real time. The inclined tube structure monitoring data uses an ultrasonic thickness gauge or a laser scanner to detect the scaling thickness (δ) on the inclined tube surface, and monitors the inclined tube inclination angle (θ inclined tube) through an inclination sensor; for example, the ultrasonic thickness gauge scans the inclined tube surface with an accuracy of 0.1 mm to generate a scaling distribution heat map. The dynamic parameters of the impeller group are collected by a frequency converter for the impeller speed (n, unit rpm), rotation direction (forward / backward rotation), and water flow pressure sensor data (high-pressure area pressure P positive, low-pressure area pressure P negative).

[0032] Example: Pressure sensors are installed on both sides of the impeller group to feedback the pressure difference ΔP = P positive - P negative in real time Specifically, calculate the initial parameters of the targeted scouring based on the following formula: where tc τ is the impact duration of the high-pressure area (seconds); δ is the fouling thickness on the surface of the inclined tube; v is the water flow velocity; ΔP is the pressure difference; D is the impeller diameter; η is the fouling erosion efficiency (calibrated through experiments); f is the impeller rotation frequency (Hz); L is the flushing coverage width (meters); ω is the impeller angular deflection velocity (rad / s).

[0033] S2: During the operation of the flushing system according to the initial parameters, the water flow scouring velocity and the sediment accumulation thickness on the surface of the inclined tube are collected in real time, and the deviation value between the actual scouring effect and the preset scouring standard is calculated.

[0034] In this embodiment, the surface water flow scouring velocity measures the velocity distribution of the water flow on the surface of the inclined tube through particle image velocimetry (PIV) technology to obtain the average velocity v_scouring. The sediment accumulation thickness uses the γ-ray attenuation method or a capacitive sensor to monitor the change in the sediment thickness Δδ on the surface of the inclined tube in real time; the γ-ray sensor is installed on the mobile host and scans the surface of the inclined tube when moving along the guide rail.

[0035] Specifically, the preset scouring standard can be determined by setting the target scouring efficiency η_target = 95%, that is, the remaining thickness after fouling removal ≤ 0.5 mm. The actual scouring efficiency η_actual = 1 - (Δδ / δ_initial), and the deviation value = η_target - η_actual.

[0036] S3: Perform dynamic optimization processing on the deviation value to generate deviation correction control parameters for flushing the surface of the inclined tube.

[0037] In this embodiment, if ΔE continuously < -10%, it is determined as "insufficient scouring"; if ΔE > +10%, it is determined as "excessive scouring", and combined with water quality parameters (such as a sudden increase in turbidity) and structural data (such as an abnormal inclination angle of the inclined tube), the source of the deviation is analyzed.

[0038] Specifically, a PID control model is adopted, and the proportional-integral-derivative (PID) algorithm is used to calculate the deviation correction parameters: where K p , K i and ∫ΔEdt + K d are the proportional, integral, and derivative coefficients respectively, calibrated through experiments. The dynamic optimization processing can adopt a multi-objective optimization method to minimize energy consumption while ensuring the scouring efficiency, such as the objective function: min∑P×t.

[0039] S4: According to the deviation correction control parameters, calculate the dynamic adjustment amount of the flushing coverage under the current water quality conditions, and synchronously adjust the bidirectional water flow pressure gradient parameters, the rotation direction switching frequency, and the flushing coverage range.

[0040] In this embodiment, step S4 includes: S41: Obtain the dynamic pressure gradient water flow pressure difference in the current inclined tube scaling area and the viscous resistance coefficient corresponding to the sediment accumulation thickness according to the rectification control parameters.

[0041] In this embodiment, the dynamic pressure gradient water flow pressure difference ΔP refers to the pressure difference between the high-pressure area and the low-pressure area generated by the forward and reverse rotation of the impeller group; the viscous resistance coefficient (μ) refers to the viscous resistance characteristics of the sediment to the water flow, which is related to the scaling components (such as calcium carbonate, organic matter). Calibrate the μ values of different scaling components (such as μ = 0.02 Pa·s for calcium carbonate and μ = 0.005 Pa·s for organic matter) through a rheometer or an empirical formula.

[0042] Specifically, where F 结垢 is the resistance of the scaling layer to the water flow (N), which is calculated by the scaling thickness δ and the viscous resistance coefficient μ (F 结垢 = μ × v × A 冲击面 ); A 冲击面 is the effective impact area (m 2 ) when the impeller group rotates forward.

[0043] S42: Based on the dynamic pressure gradient water flow pressure and the viscous resistance coefficient, comprehensively calculate the targeted scouring correction amount that the impeller group needs to compensate.

[0044] In this embodiment, the targeted scouring correction amount includes the high-pressure area impact duration compensation value Δt c and the waveform water flow diffusion angle compensation value Δθ. Among them, where k1 is the compensation coefficient, and the value can be 1.5; t c,阈值 is the preset high-pressure impact reference duration (such as 5 seconds). where k2 is the diffusion angle adjustment coefficient (such as 0.01 rad / NTU), and L1 is the inclined tube section spacing. The targeted scouring correction amount

[0045] S43: Adjust the two-way water flow pressure gradient parameters of the impeller group according to the targeted scouring correction amount to control the high-pressure area impact duration within the positive and negative rotation alternating cycle; adjust the rotation direction switching frequency of the impeller group based on the high-pressure area impact duration to make the water flow coverage area dynamically match the scaling distribution area.

[0046] In this embodiment, the high-pressure area pressure (P_pos) is usually 3 - 5 MPa (achieved by adjusting the impeller speed through a frequency converter). The low-pressure area pressure (P_neg) is usually 0.5 - 1 MPa (the 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 to adjust the impeller deflection angle α according to Δθ: α = α0 + Δθ, where α0 is the initial deflection angle (such as 30°).

[0047] Specifically, the waveform water flow diffusion angle θ is optimized and controlled by formula (1) as follows: θ = k × arctan(v / α) (1) Where θ represents the waveform water flow diffusion angle, k is the diffusion coefficient (with a value range of 1.2 - 1.8), v is the linear velocity of the impeller group rotation, and α is the deflection angle of the impeller group. After calculating the diffusion angle θ according to formula (1), adjust the forward and reverse rotation switching period of the impeller: N is the proportion of the high-pressure area in each period (e.g., when θ = 60°, N = 1 / 6).

[0048] According to the turbidity value T i and the uniformity index U i calculate the deflection angle α:

[0049] The flushing width L is related to the diffusion angle θ and the impeller rotation speed v:

[0050] S400: Adjust the flushing timing parameters of adjacent pipe segments according to the deflection angle α of the impeller group and the corresponding inclined tube pipe segment spacing.

[0051] In this embodiment, adjusting the flushing timing parameters includes: S4001: Establish a diffusion model of the sediment on the inclined tube surface to predict the risk of secondary sedimentation under different flushing timings.

[0052] Specifically, the diffusion model of the sediment on the inclined tube surface predicts the risk of secondary sedimentation based on the one-dimensional convection-diffusion equation: Where C is the suspended solid concentration; D is the diffusion coefficient; v is the water flow velocity, which is calculated from the linear velocity of the impeller rotation and the inclined tube inclination angle (v = ω × R × sinθ1, where ω is the angular velocity, R is the impeller radius, and θ1 is the inclined tube inclination angle); it is calibrated through experiments (such as the dye tracer method) or calculated by an empirical formula (such as D = 0.1 × v^0.8).

[0053] Specifically, during the risk prediction calculation, first set the fouling thickness distribution before flushing C(x, 0) = C0 (obtained by an ultrasonic thickness gauge); flushing boundary condition: assume that the sediment concentration drops to the critical value C 临界 (such as C 临界 = 10 mg / L). Use the finite difference method or the finite element method to solve the convection-diffusion equation to obtain the sediment concentration distribution C(x, t) at different time points. For example, if the inclined tube spacing L = 4 m and the flushing interval time t 间隔 = 10 minutes, calculate the initial concentration C 下游 (0) = 50 mg / L of the downstream pipe segment, then the probability P of the secondary sedimentation risk风险 = 75%.

[0054] S4002: Optimize the flushing sequence and interval time of pipe sections based on the risk prediction results to reduce the flushing energy consumption.

[0055] Specifically, set a risk threshold: High risk (P 风险 > 80%): Need to be flushed first; Medium risk (30% <P 风险 ≤ 80%): Flush in the normal order; Low risk (P 风险 ≤ 30%): Extend the flushing interval.

[0056] Exemplarily, the concentration C 下游 at the downstream of pipe section A (0) = 80 mg / L → High risk, flush first; The concentration C 下游 at the downstream of pipe section B (0) = 20 mg / L → Low risk, extend the interval to 20 minutes.

[0057] In this embodiment, the optimization strategy is formulated with minimizing the total energy consumption as the objective function: The objective function is: where, P i is the flushing power (kW) of the i-th pipe section; t i is the actual flushing duration; E 等待 is the standby energy consumption of the equipment (kW); where, the constraint conditions are set as: the remaining scale thickness after flushing ≤ 0.5 mm; the overlapping rate of flushing of adjacent pipe sections ≥ 15%.

[0058] In one embodiment, after step S42, a control method applied to a surface flushing system of inclined tubes in a sedimentation tank further includes: S42'1: The targeted scouring correction amount includes the impact duration compensation value in the high-pressure area and the waveform water flow diffusion angle compensation value.

[0059] S42'2: Conduct multi-dimensional verification on the targeted scouring correction amount, construct a dynamic pressure field model of the scale distribution on the surface of the inclined tubes, calculate the mutation analysis results of the current scaling area, and the mutation analysis results include the scale thickness gradient and the scouring efficiency decay rate.

[0060] In this embodiment, obtain the scale thickness distribution δ(x, y) (obtained by three-dimensional CT scanning); the dynamic pressure gradient water pressure difference ΔP(x, y); the viscous resistance coefficient μ(x, y). The scale thickness gradient represents the change in scale thickness per unit distance (mm / m). The local scouring efficiency decay rate where α C is the material erosion resistance coefficient (such as 0.05 mm -1 )。

[0061] Specifically, different scaling gradients (G = 2 - 10 mm / m) are simulated in the laboratory, and the actual scouring efficiency η is measured; the model prediction value is compared with the experimental value, and the error rate is controlled ≤ ±8%.

[0062] S423: According to the scaling thickness gradient and the attenuation rate of the scouring efficiency, hierarchical deviation correction adjustment is performed on the rotation direction switching frequency, the two-way water flow pressure gradient parameter, and the waveform water flow diffusion angle of the impeller group to generate hierarchical deviation correction regression parameters.

[0063] In this embodiment, the high-risk area determination condition is: if G > 5 mm / m or β < 0.8, it is determined as a high-risk area, and the high-pressure impact duration (Δt c ) is preferentially adjusted; if G ≤ 2 mm / m, the diffusion angle (Δθ) is preferentially adjusted.

[0064] Specifically, the hierarchical deviation correction regression parameters include the high-pressure impact parameter adjustment at the first level, the diffusion angle adjustment at the second level, and the rotation frequency cooperative adjustment at the third level; a preset structure gradient threshold, such as 5 mm / m, is set, and an adjustment formula corresponding to the high-pressure impact parameters is set, and the high-pressure impact parameters are adjusted based on the adjustment formula. Similarly, an adjustment formula for the diffusion angle parameter adjustment is set based on different scaling gradients: Exemplarily, the high-pressure impact parameter adjustment formula is set as: G 阈值 is the preset scaling gradient threshold. The diffusion angle adjustment formula is: The adjustment formula for the rotation frequency cooperative adjustment is: The hierarchical parameter combination refers to generating a deviation correction regression parameter set including Δt c , Δθ, f ’ .

[0065] In one embodiment, a control method applied to a surface flushing system of inclined tubes in a sedimentation tank includes: S10: Obtain the three-dimensional CT scan imaging data of each partition on the surface of the inclined tube and construct a three-dimensional model of the scaling distribution.

[0066] In this embodiment, a nano-resolution device (such as GE Phoenix v|tome|x s) is used, and the scanning accuracy ≤ 0.1 mm 3 , and the scanning range covers the entire length of the inclined tube to obtain the three-dimensional CT scan imaging data.

[0067] Specifically, Geomagic Studio software is used for denoising, hole filling, and surface reconstruction to generate a three-dimensional model of the scaling distribution on the surface of the inclined tube.

[0068] S20: Mark the quantitative structure mutation points in the three-dimensional model of the fouling distribution, and calculate the decay rate of the local scouring efficiency at the quantitative structure mutation points.

[0069] In this embodiment, the marking of the quantitative structure mutation points is to mark the area with a gradient G > 5 mm / m in the three-dimensional model as the mutation point (such as highlighted in red).

[0070] Specifically, the decay rate of the local scouring efficiency where α C is the material erosion resistance coefficient (such as 0.05 mm- 1 ).

[0071] S30: Divide the priority of the flushing area according to the decay rate of the local scouring efficiency, and preferentially adjust the high-pressure impact duration compensation value for the high-priority area, and use the waveform water flow diffusion angle compensation adjustment for the low-priority area.

[0072] In this embodiment, the high priority is that the decay rate of the local scouring efficiency β < 0.6 (the scouring efficiency decay > 40%); the low priority is β ≥ 0.6.

[0073] It should be understood that the sequence numbers of the steps in the above embodiments do not mean 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 to the implementation process of the embodiments of the present application.

[0074] In one embodiment, particularly, according to the embodiments of the present invention, the processes described above with reference to the flowchart can be implemented as computer software programs. For example, the embodiments of the present invention include a computer program product, including a computer program / instructions, which when executed by a processor implement the steps of the control method applied to a surface flushing system of inclined tubes in a sedimentation tank as described above. In such an embodiment, the computer program can be downloaded and installed from the network through a communication module, and / or installed from a removable medium. When the computer program is executed by a central processing unit (CPU), it executes various functions defined in the present invention.

[0075] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the above division of each functional unit and module is used as an example. In actual applications, the above functions can be allocated to different functional units and modules according to needs, that is, the internal structure of the device is divided into different functional units or modules to complete all or part of the functions described above.

[0076] The above-described embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements on some of the features; and these modifications or replacements 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 the present application, and should all be included in the protection scope of the present application.

Claims

1. A surface flushing system for inclined tubes in a sedimentation tank, characterized in that, It includes a mobile cleaning host disposed in the top area of the inclined tubes of the sedimentation tank. The host is equipped with an impeller group that can rotate bidirectionally. The impeller group 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 scouring of the scale on the surface of the inclined tubes. The mobile cleaning host is automatically started when the water level in the sedimentation tank drops to a preset safe height after sludge discharge, and reciprocating cleaning is achieved through periodic switching of the rotation direction of the impeller group. The mobile cleaning host is provided with an intelligent control module, which obtains the working state information of the mobile cleaning host and adjusts the cleaning intensity mode of the mobile cleaning host based on the obtained cleaning intensity control instructions.

2. The inclined tube surface flushing system for a sedimentation tank according to claim 1, characterized in that A water purification tank is arranged at the top of the sedimentation tank. The water purification tank is provided with a guide rail along the length direction, and the mobile cleaning host is movably arranged on the guide rail.

3. A control method applied to a surface flushing system of inclined tubes in a sedimentation tank, characterized in that, The method includes: Obtaining the real-time water quality parameters of the sedimentation tank, the inclined tube structure monitoring data, and the dynamic pressure gradient water flow parameters of the impeller group, and calculating the initial targeted scouring parameters of the impeller group through an intelligent control module. During the operation of the flushing system according to the initial parameters, the water flow scouring speed and the sediment accumulation thickness on the surface of the inclined tubes are collected in real time, and the deviation value between the actual scouring effect and the preset scouring standard is calculated. Performing dynamic optimization processing on the deviation value to generate deviation correction control parameters for flushing the surface of the inclined tubes. According to the deviation correction control parameters, calculating the dynamic adjustment amount of the flushing coverage under the current water quality conditions, and synchronously adjusting the bidirectional water flow pressure gradient parameters, the rotation direction switching frequency, and the flushing coverage range.

4. A control method applied to a surface flushing system for inclined tubes in a sedimentation tank according to claim 3, characterized in that, The calculating the dynamic adjustment amount of the flushing coverage under the current water quality conditions according to the deviation correction control parameters and synchronously adjusting the bidirectional water flow pressure gradient parameters, the rotation direction switching frequency, and the flushing coverage range specifically includes: According to the deviation correction control parameters, obtaining the dynamic pressure gradient water flow pressure difference in the current scale formation area of the inclined tubes and the viscous resistance coefficient corresponding to the sediment accumulation thickness. Based on the dynamic pressure gradient water flow pressure and the viscous resistance coefficient, comprehensively calculating the targeted scouring correction amount to be compensated by the impeller group. Adjusting the bidirectional water flow pressure gradient parameters of the impeller group according to the targeted scouring correction amount, and controlling the impact duration of the high-pressure area within the positive and negative rotation alternating cycle; adjusting the rotation direction switching frequency of the impeller group based on the impact duration of the high-pressure area to make the water flow coverage range dynamically match the scale distribution area.

5. A control method applied to a surface flushing system of inclined tubes in a sedimentation tank according to claim 4, characterized in that, The adjusting the water flow coverage range according to the rotation direction switching frequency further includes: Obtaining the real-time turbidity detection values and scouring uniformity indexes of each partition on the surface of the inclined tubes. According to the turbidity values and the uniformity indexes, calculating the gradient compensation amount of the deflection angle of the impeller group; adjusting the waveform water flow diffusion angle of the impeller group based on the gradient compensation amount to achieve adaptive distribution of the density of the flushing water curtain.

6. The control method applied to a surface flushing system of inclined tubes in a sedimentation tank according to claim 5, characterized in that, The waveform water flow diffusion angle θ is optimized and controlled by formula (1), and formula (1) is as follows: θ = k × arctan(v / α) (1) Where, θ represents the waveform water flow diffusion angle, k is the diffusion coefficient (the value range is 1.2 - 1.8), v is the rotational linear velocity of the impeller group, and α is the deflection angle of the impeller group. Adjust the flushing timing parameters of adjacent pipe sections according to the deflection angle α of the impeller group and the corresponding spacing of the inclined pipe sections.

7. A control method applied to a surface flushing system of inclined tubes in a sedimentation tank according to claim 6, characterized in that, The adjustment of the flushing timing parameters includes: Establish a diffusion model of the sediment on the inclined pipe surface to predict the risk of secondary deposition under different flushing timings; Optimize the flushing sequence and interval time of the pipe sections based on the risk prediction results to reduce the flushing energy consumption.

8. A control method applied to a surface flushing system of inclined tubes in a sedimentation tank according to claim 4, characterized in that, After comprehensively calculating the targeted scouring correction amount to be compensated by the impeller group according to the dynamic pressure gradient water flow pressure and the viscous resistance coefficient, it further includes: The targeted scouring correction amount includes the impact duration compensation value in the high-pressure area and the waveform water flow diffusion angle compensation value; Conduct multi-dimensional verification on the targeted scouring correction amount, construct a dynamic pressure field model of the fouling distribution on the inclined pipe surface, and calculate the mutation analysis results of the current fouling area. The mutation analysis results include the fouling thickness gradient and the scouring efficiency decay rate; According to the fouling thickness gradient and the scouring efficiency decay rate, perform hierarchical deviation correction adjustments on the rotation direction switching frequency of the impeller group, the bidirectional water flow pressure gradient parameter, and the waveform water flow diffusion angle, and generate hierarchical deviation correction regression parameters.

9. A control method applied to a surface flushing system of inclined tubes in a sedimentation tank according to claim 8, characterized in that, The control method further includes: Obtain the three-dimensional CT scan imaging data of each partition on the inclined pipe surface and construct a three-dimensional fouling distribution model; Mark the quantitative structure mutation points in the three-dimensional fouling distribution model and calculate the local scouring efficiency decay rate of the quantitative structure mutation points; Divide the priority of the flushing area according to the local scouring efficiency decay rate, and preferentially adjust the high-pressure impact duration compensation value for the high-priority area, and use the waveform water flow diffusion angle compensation adjustment for the low-priority area.

10. A computer program product, comprising a computer program / instructions, characterized in that, When the computer program / instructions are executed by a processor, the steps of a control method applied to a flushing system for the surface of inclined pipes in a sedimentation tank as described in any one of claims 3 to 9 are implemented.

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