Special inclined plate flushing management system for defluorination

Abstract

The invention discloses a special inclined plate flushing management system for fluorine removal, particularly relates to the field of fluorine-containing wastewater treatment, is used for solving the problem of accumulation of fine flocs in an inclined plate sedimentation tank, and is used for identifying potential risks in the early stage of accumulation by monitoring water quality fluctuation characteristics in real time and generating a preliminary signal; therefore, water quality degradation caused by the fact that accumulation is not found in time is avoided. And through quantification of the accumulation degree index, cleaning parameters can be dynamically set according to actual conditions, the flow speed, the direction and the duration of cleaning water are accurately adjusted, and resource consumption and equipment abrasion are reduced while fine flocs are effectively removed. The accumulation recognition threshold value is optimized through the water quality recovery rate and fluctuation frequency feedback after cleaning, and the self-adaptability to different accumulation stages is enhanced. The sedimentation effect and the operation stability of the inclined plate sedimentation tank are remarkably improved, the cleaning frequency is reduced, the maintenance cost is reduced, and the service life of equipment is prolonged, so that the overall benefit of fluorine-containing wastewater treatment is greatly improved.

Description

Technical Field

[0001] The invention relates to the field of fluorine-containing wastewater treatment, and more specifically to a special inclined plate flushing management system for fluorine removal. Background Art

[0002] In the field of fluoride wastewater treatment, in order to improve the fluoride removal efficiency, inclined plate sedimentation tanks are widely used as core devices. Through sedimentation, the solid suspended matter and chemical flocs in the fluoride wastewater are precipitated to achieve the effect of purifying the water quality. The inclined plate sedimentation tank has a compact structure, a small footprint, and a high sedimentation efficiency. It is suitable for a variety of fluoride wastewater treatment scenarios, especially in industrial wastewater treatment. However, in the long-term operation of the inclined plate sedimentation tank, the sedimentation efficiency will be affected by factors such as sediment accumulation and flow changes, thereby affecting the overall water treatment effect.

[0003] In the prior art, with the increase in wastewater treatment volume and the extension of sedimentation tank operation time, the fine flocs in the wastewater gradually adhere to and accumulate on the surface of the inclined plate, forming a hidden covering layer, which causes the flow state and sedimentation path of the sedimentation tank to change, affecting the effluent quality. At the same time, these fine flocs are difficult to completely remove by traditional cleaning methods, and the early accumulation process is relatively hidden and difficult to detect in time, and often requires reliance on sensors for monitoring. However, the installation and maintenance costs of sensors are high, and they are easily affected by corrosive wastewater. The lack of an effective sensorless identification method has resulted in the inability to respond to the accumulation of fine flocs in a timely manner, which in turn causes a decrease in sedimentation efficiency and increases the operating cost and maintenance difficulty of the system.

[0004] In order to solve the above problems, a technical solution is now provided. Summary of the invention

[0005] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a special inclined plate flushing management system for fluorine removal, which realizes the intelligent management of fine floc accumulation in the inclined plate sedimentation tank through real-time monitoring, quantitative evaluation, dynamic cleaning setting and effect optimization, and significantly improves the stability and economy of water treatment. The method first identifies the water quality fluctuation characteristics of fluorine-containing wastewater, timely captures the accumulation state and quantifies it as an accumulation degree index, so as to accurately match the accumulation degree during the cleaning process. The flow rate, direction and duration of the cleaning water are dynamically adjusted based on the accumulation situation to make the cleaning more targeted and effectively avoid waste of resources and equipment wear. The effect after cleaning is evaluated by the difference between the water quality recovery rate and the fluctuation frequency, which not only optimizes the threshold setting of accumulation identification, but also makes subsequent monitoring more flexible and adaptive. Overall, this method reduces unnecessary cleaning frequency and maintenance costs while ensuring the stability of the effluent water quality, extends the service life of the equipment, and improves the cost-effectiveness and quality control level of water treatment to solve the problems raised in the above background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] A special inclined plate flushing management system for fluorine removal includes: a data acquisition module, a cumulative evaluation module, a cleaning setting module and an effect optimization module.

[0008] Data acquisition module: obtain the inflow and outflow water quality data of fluorine-containing wastewater, identify the abnormal fluctuation characteristics of water quality, generate preliminary signals of fine floc accumulation, and send the preliminary signals to the accumulation evaluation module.

[0009] Accumulation evaluation module: Based on the preliminary signal, the accumulation degree of fine flocs is calculated and an accumulation degree index is generated, which is then passed to the cleaning setting module.

[0010] Cleaning setting module: according to the accumulation degree index, the cleaning water flow rate, direction and duration are set to generate corresponding cleaning mode parameters. The generated cleaning mode parameters are used to drive the actual cleaning and pass the cleaning operation data to the effect optimization module.

[0011] Effect optimization module: compare the water quality change rate and fluctuation frequency before and after cleaning, and adjust the cumulative recognition threshold.

[0012] In a preferred embodiment, the operation process of the data acquisition module includes the following contents:

[0013] Taking into account the relative changes in turbidity and flow, and based on the instantaneous fluctuations of influent and effluent water, the water quality fluctuation characteristic index WVI is constructed as follows: Turbidity deviation term Used to measure the effect of the accumulation on the inclined plate surface on the turbidity of the outlet water; flow deviation term Used to quantify the deviation of the change of inlet and outlet water flow; ∈1 and ∈2 are small constants; T in (t) and T out (t) represent the turbidity value of the inlet and outlet water at the current moment; Q in (t) and Q out (t) represent the inlet and outlet water flow rates at the current moment respectively.

[0014] Calculate the fluorine concentration deviation factor FD as follows: Among them, ∈3 is a constant; F in (t) and F out (t) represents the fluoride concentration of the inlet and outlet water at the current moment; Used to measure the change in fluoride concentration in inlet and outlet water.

[0015] The water quality fluctuation characteristic index and the fluorine concentration deviation factor are normalized, and then the normalized water quality fluctuation characteristic index and the fluorine concentration deviation factor are combined to form the fine floc accumulation index.

[0016] After obtaining the fine floc accumulation index, the fine floc accumulation index value is compared with the preset accumulation recognition threshold. When the fine floc accumulation index value exceeds the accumulation recognition threshold for a consecutive rated number of times and shows an upward trend, it indicates that the fine flocs on the inclined plate surface have reached the accumulation level that affects the water quality and a preliminary signal is generated.

[0017] In a preferred embodiment, the operation process of the cumulative evaluation module includes the following:

[0018] If a preliminary signal is obtained, a cumulative degree index is established, and a step-by-step calculation is performed based on the dynamic flow difference, effluent turbidity and cumulative signal stability. The processing process includes the following specific steps:

[0019] The flow fluctuation difference ΔQ is used to quantify the degree of this resistance increase, which is defined as the sum of the cumulative deviations of the inlet and outlet water flows during the detection period: ΔQ = ∑ t |Q in (t)-Q out (t)|; where the water flow rate in the current cycle is Q in (t), the water flow rate is Q out (t).

[0020] The accumulation is identified by the turbidity fluctuation difference ΔT, which is used to express the average rate of change of the turbidity of the outflow water relative to the inflow water and is defined as follows: Among them, T in (t) and T out (t) are the turbidity of inlet and outlet water, respectively, and N is the number of time points collected.

[0021] If the preliminary signal generated in the data acquisition module is continuous and stable over multiple cycles, it indicates that the accumulation of fine flocs has reached a certain level, and the cumulative signal stability S sig Used to measure the duration and strength of preliminary signals:

[0022] The accumulation index CTI of fine flocs is obtained by combining the flow fluctuation difference, turbidity fluctuation difference and the normalized index of cumulative signal stability.

[0023] In a preferred embodiment, the operation process of the cleaning setting module includes the following:

[0024] Based on the results of the accumulation degree index, in order to ensure the effective cleaning of fine flocs on the inclined plate surface, the cleaning water flow rate, direction and duration are gradually set to adapt to different accumulation states. This process comprehensively considers the severity of accumulation, uniform distribution of water flow and coverage characteristics of the accumulation area. The specific treatment is as follows:

[0025] Cleaning water flow rate V clean :The water flow rate determines the cleaning intensity. As the accumulation index increases, the water flow rate needs to be increased accordingly to ensure effective flushing.

[0026] The water flow rate setting needs to adapt to the difference in accumulation degree. The water flow rate is increased graded by the accumulation degree index to adapt to the accumulated resistance. The calculation formula is as follows: V base : Basic cleaning flow rate, used to set the minimum water flow force for cleaning; ln(1+CTI): The logarithmic form of the cumulative degree index enhances sensitivity to changes in water flow rate; k1: Adjustment coefficient to prevent the water flow rate from being too high to avoid impact on the equipment.

[0027] In a preferred embodiment, the operation process of the cleaning setting module also includes the following:

[0028] Cleaning direction coefficient D clean : Used to distribute the coverage of the cleaning water flow, adjust the directionality of the water flow according to the degree of accumulation, and ensure uniform coverage of the accumulation area.

[0029] The cleaning direction coefficient is used to dynamically adjust the water flow direction to cope with the distribution characteristics of different accumulation areas. It changes according to the accumulation index value to ensure uniform coverage of the water flow. The calculation is as follows: sin(CTI): The sine form based on the cumulative degree index characterizes the cumulative distribution state. As the cumulative degree index increases, the coverage of the cleaning direction increases; D max : Maximum directional coefficient, used to set the maximum directional coverage of the cleaning water flow.

[0030] In a preferred embodiment, the operation process of the cleaning setting module also includes the following:

[0031] Cleaning time T clean :The cleaning time affects the time period covered by the cleaning effect. Set sufficient cleaning time based on the cumulative severity to completely remove fine flocs.

[0032] The cleaning duration ensures sufficient coverage time by smoothing the accumulation degree index. The formula is as follows: T base : Basic cleaning time; The cumulative degree index is smoothed in the form of a square root to adjust the duration; k2: duration adjustment coefficient.

[0033] In a preferred embodiment, the operation process of the effect optimization module includes the following contents:

[0034] Water quality change rate ΔR W: Refers to the difference in water quality recovery speed before and after cleaning, used to evaluate the impact of cleaning on water quality fluctuations, including the difference in inflow and outflow turbidity and flow changes, and is defined as follows: Where, ΔT pre (t) and ΔT post (t) represents the difference in turbidity in each cycle before and after cleaning; ΔQ pre (t) and ΔQ post (t) is the difference in flow rate before and after cleaning, and n is the number of data points in the observation period;

[0035] Fluctuation frequency difference ΔF B : Used to quantify the change in the frequency of water quality fluctuations before and after cleaning. If the cleaning is effective, the fluctuation frequency should drop significantly. It is defined as follows: ΔF B =F pre -F post ; Among them, F pre and F post is the frequency of water quality fluctuation before and after cleaning; in order to optimize the cumulative recognition threshold, the cumulative recognition optimization coefficient ROC is constructed according to the normalized value of the difference between the water quality change rate and the fluctuation frequency.

[0036] According to the optimization effect of the cumulative recognition optimization coefficient on the recognition threshold, a new cumulative recognition threshold is generated to adapt to the cumulative changes after cleaning. The formula is as follows: The original cumulative recognition threshold RT base is the minimum cumulative recognition standard; the coefficient k3 controls the influence of the cumulative recognition optimization coefficient on the recognition threshold.

[0037] The technical effects and advantages of the special inclined plate flushing management system for defluorination of the present invention are as follows:

[0038] Through the coordinated work of four modules, namely data collection, cumulative evaluation, cleaning parameter setting and cleaning effect optimization, efficient management of fine floc accumulation in the inclined plate sedimentation tank is achieved to ensure the stability and continuity of the water treatment process. First, through real-time monitoring of the inlet and outlet water quality data of fluorine-containing wastewater, abnormal fluctuations in water quality can be identified, and cumulative preliminary signals can be generated in time, thereby improving the sensitive recognition ability of the cumulative state. The cumulative evaluation module quantifies the preliminary signal into an accumulation degree index, so that the accumulation of fine flocs can be accurately quantified and analyzed, which is convenient for the subsequent cleaning plan formulation. Through the cleaning setting module, the flow rate, direction and duration of the cleaning water can be dynamically set according to the accumulation degree, ensuring the pertinence and efficiency of the cleaning operation, and reducing unnecessary water resource consumption and equipment loss. After the cleaning operation is completed, the cleaning effect is verified by the difference in water quality recovery rate and fluctuation frequency, and then the identification threshold is dynamically optimized, providing more accurate parameter control for subsequent cumulative detection. This method improves the adaptive cleaning ability of the sedimentation tank as a whole, reduces maintenance frequency and operating costs, extends the effective use cycle of the equipment, and achieves dual optimization of water treatment cost-effectiveness and treatment quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 The present invention is a schematic flow diagram of a special inclined plate flushing management system for fluorine removal. DETAILED DESCRIPTION

[0040] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0041] Embodiment 1: Figure 1 The invention provides a special inclined plate flushing management system for defluorination, comprising: a data acquisition module, a cumulative evaluation module, a cleaning setting module and an effect optimization module.

[0042] Data acquisition module: obtains the inflow and outflow water quality data of fluoride-containing wastewater, identifies the abnormal fluctuation characteristics of water quality, generates preliminary signals of fine floc accumulation, and sends the preliminary signals to the accumulation evaluation module;

[0043] Accumulation evaluation module: Based on the preliminary signal, the accumulation degree of fine flocs is calculated and an accumulation degree index is generated, which is then passed to the cleaning setting module.

[0044] Cleaning setting module: according to the accumulation degree index, the cleaning water flow rate, direction and duration are set to generate corresponding cleaning mode parameters. The generated cleaning mode parameters are used to drive the actual cleaning and pass the cleaning operation data to the effect optimization module.

[0045] Effect optimization module: compare the water quality change rate and fluctuation frequency before and after cleaning, and adjust the cumulative recognition threshold.

[0046] In the treatment of fluoride-containing wastewater, the accumulation of fine flocs on the inclined plate surface is a factor that is often overlooked but has a significant impact. Once the accumulation reaches the identification value, it will lead to a decrease in sedimentation efficiency, deterioration of effluent water quality, and increase the cleaning frequency and operating costs of the system. By evaluating the water quality fluctuation characteristics in real time, combined with the analysis of key parameters such as turbidity, flow rate and fluoride concentration, early identification of fine floc accumulation can be achieved, thereby effectively triggering the corresponding treatment response. This analysis can not only monitor the accumulation of fine flocs without relying on sensors, but also provide a scientific basis for judgment for subsequent cleaning strategies, optimizing the overall operating efficiency of the sedimentation tank.

[0047] The operation process of the data acquisition module includes the following:

[0048] In the inclined plate sedimentation tank, the gradual accumulation of fine flocs often causes slight abnormal fluctuations in the inflow and outflow water quality parameters. This fluctuation is not obvious in the early stage of accumulation, but it will affect the turbidity, flow rate and fluoride content of the inflow and outflow water, thus showing a cumulative effect. Therefore, capturing the slight fluctuations in water quality parameters and quantifying them as an index value is particularly critical for timely identification of the early accumulation of fine flocs.

[0049] The accumulation of fine flocs is mainly reflected in the turbidity and flow deviation of the inlet and outlet water. Therefore, the water quality fluctuation characteristic index WVI is constructed based on the instantaneous fluctuation of the inlet and outlet water by comprehensively considering the relative changes of turbidity and flow as follows: Turbidity deviation term It is used to measure the effect of accumulation on the inclined plate surface on the effluent turbidity. As fine flocs accumulate on the inclined plate, the effluent turbidity will gradually increase, increasing the deviation value. Flow Deviation Term Used to quantify the deviation of the change of inlet and outlet water flow. The accumulation of inclined plates leads to increased flow resistance, which in turn affects the stability of the flow. ∈1 and ∈2 are small constants to ensure the stability of the denominator and prevent extreme situations. T in (t) and T out (t represents the turbidity value of the inlet and outlet water at the current moment. Q in (t) and Q out (t) represent the inlet and outlet water flow rates at the current moment respectively.

[0050] The potential accumulation trend of fine flocs on the inclined plate can be preliminarily determined by the dynamic fluctuation of the water quality fluctuation characteristic index value.

[0051] The core of the inclined plate sedimentation tank design is to effectively remove fluoride from wastewater, so fluoride concentration is a key parameter. When fine flocs accumulate on the surface of the inclined plate, fluorine-containing particles may remain in the effluent, which is manifested as an increase in the fluoride concentration of the effluent. Simply using the water quality fluctuation characteristic index cannot accurately reflect the accumulation of fluoride content changes, so the fluoride concentration deviation factor FD is calculated as a supplement. The calculation is as follows: Among them, ∈3 is a constant to ensure the stability of the denominator and avoid numerical distortion. in (t) and F out (t) represent the fluorine concentration of the inlet and outlet water at the current moment. It is used to measure the change in the fluoride concentration of inlet and outlet water, and can effectively identify abnormal fluoride content in outlet water caused by accumulation. The introduction of the ln function enhances the sensitivity to subtle changes in fluoride concentration and helps to identify accumulation trends earlier.

[0052] The water quality fluctuation characteristic index and the fluorine concentration deviation factor are normalized, and then the normalized water quality fluctuation characteristic index and the fluorine concentration deviation factor are combined to form the fine floc accumulation index CPA, which is used to generate a preliminary signal of fine floc accumulation. The formula is as follows: WVI norm ×FD norm Used to characterize the synergistic effect of water quality fluctuations and fluoride concentration deviations. This product amplifies the cumulative effect when both are abnormal at the same time, and more accurately reflects the accumulation trend of fine flocs. | WVI norm -FD norm | is used to capture the difference between the two, indicating that the accumulated characteristics may be different at different stages of accumulation. The difference term provides a balancing effect to prevent a single parameter from dominating the results.

[0053] The constant term 1 and the sum of the two terms are added to the denominator to prevent the fine floc accumulation index from fluctuating too much at a lower accumulation state, thus maintaining the stability of the results.

[0054] The fine floc accumulation index is used to characterize the accumulation of fine flocs on the inclined plate surface and its potential impact on the effluent quality. The larger the index, the more significant the accumulation of fine flocs on the inclined plate surface, and the water quality fluctuation and fluorine concentration deviation are both abnormal, which may lead to a decrease in water effluent efficiency; conversely, the smaller the index, the lower the accumulation of fine flocs, the flow condition and sedimentation effect on the inclined plate surface remain good, and the water quality is relatively stable.

[0055] After obtaining the fine floc accumulation index, in order to extract the preliminary signal, it is necessary to compare the fine floc accumulation index value with the preset accumulation identification threshold, and further analyze it in combination with the dynamic change trend of the fine floc accumulation index. When the fine floc accumulation index value exceeds the accumulation identification threshold for a continuous rated number of times and shows an upward trend, it indicates that the fine flocs have accumulated to a level that affects the water quality on the inclined plate surface, and a preliminary signal is generated to prompt the start of subsequent cleaning or deep analysis steps.

[0056] Through the dynamic analysis of the inlet and outlet water quality data by the data acquisition module, the water quality fluctuation characteristic index and fluorine concentration deviation factor were established and the fine floc accumulation index was formed, which realized the early identification and dynamic tracking of the accumulation of fine flocs, and avoided the decrease in sedimentation efficiency and fluctuation of effluent water quality caused by the hidden accumulation of fine flocs. It can then accurately locate the accumulation risk and prevent the imbalance of system operation caused by excessive accumulation, thereby effectively extending the cleaning cycle of the sedimentation tank and reducing the cleaning frequency and cost while maintaining stable water quality. By predicting the accumulation trend early, adaptive adjustments can be made without relying on complex sensing equipment, which significantly improves the stability and economy of the fluoride-containing wastewater treatment process.

[0057] In the process of gradual accumulation of fine flocs, it is difficult to quantify the specific impact of accumulation on the effluent effect by simply relying on the initial signal, especially in the early stage of accumulation and when the accumulation state fluctuates. By further calculating the accumulation degree index, multi-dimensional parameters such as water flow smoothness, effluent turbidity changes and the persistence of the initial signal can be comprehensively quantified, providing a reliable basis for whether to start cleaning later, so that it can be automatically controlled under a more accurate accumulation state and improve the stability of the sedimentation process.

[0058] The operation process of the cumulative assessment module includes the following:

[0059] If a preliminary signal is obtained, a step-by-step calculation is performed by establishing an accumulation index based on key parameters such as dynamic flow difference, effluent turbidity and accumulation signal stability. The processing process includes the following specific steps:

[0060] The gradual accumulation of fine flocs on the inclined plate will affect the channel stability of the water flow, resulting in differences in the inlet and outlet water flow. As the accumulation increases, the flow fluctuation difference will increase significantly. Therefore, the flow fluctuation difference ΔQ can be used to quantify the degree of this resistance increase, which is defined as the sum of the cumulative deviations of the inlet and outlet water flow during the detection period: ΔQ = ∑ t |Q in (t)-Q out (t)|; The greater the flow fluctuation, the more significant the accumulation of fine flocs on the inclined plate, and the patency of the flow channel is affected to a greater extent. Among them, the inlet flow rate of the current cycle is Q in(t), the water flow rate is Q out (t).

[0061] The accumulation of fine flocs on the surface of the inclined plate will increase the turbidity deviation of the effluent, so the accumulation can be identified by the turbidity fluctuation difference ΔT. The turbidity fluctuation difference is used to express the average rate of change of the effluent turbidity relative to the influent, and is defined as follows: Among them, T in (t) and T out (t is the turbidity of the inlet and outlet water, respectively, and N is the number of time points collected. The higher turbidity fluctuation difference indicates that the accumulation of fine flocs has affected the sedimentation effect of the sedimentation tank.

[0062] The preliminary signal generated in the data acquisition module, if it is continuous and stable over multiple cycles, indicates that the accumulation of fine flocs has reached a certain level. Accumulation signal stability S sig Used to measure the duration and strength of preliminary signals: The higher the signal stability, the more significant the accumulation state is, which has an enhancing effect on the results of the accumulation degree index.

[0063] The flow fluctuation difference, turbidity fluctuation difference and the normalized index of cumulative signal stability are combined to obtain the accumulation index CTI of fine flocs, and a nonlinear combination method is used to reflect various factors in the accumulation process. The calculation formula of the accumulation index is as follows: The product term of flow and turbidity fluctuation: ΔQ norm ×ΔT norm It reflects the nonlinear coupling effect of flow and turbidity in the accumulation process. When both fluctuate at the same time, the cumulative effect is significantly amplified. Signal stability term: Added as an additive term to the calculation, it indicates the effect of the initial signal's persistence and stability on the degree of accumulation. If the signal is stable and strong, the accumulation effect will be more significant. Balancing term in the denominator: ΔQ in the denominator norm -ΔT norm It is used to control the balance of the accumulation process to prevent a single parameter from dominating the accumulation index value. The unstable fluctuation of the accumulation degree index is further suppressed, making the calculation results more stable and reasonable.

[0064] The accumulation index is used to quantify the accumulation of fine flocs on the inclined plate surface and its impact on water flow and effluent quality. The larger the accumulation index value, the more serious the accumulation of fine flocs on the inclined plate surface, the greater the fluctuation of effluent turbidity and flow rate difference, indicating that the accumulation has significantly affected the sedimentation effect of the sedimentation tank, which may lead to a decline in water quality; on the contrary, the smaller the accumulation index value, the less fine flocs accumulate on the inclined plate surface, the better the water flow and sedimentation effect, and the more stable the effluent quality.

[0065] The accumulation degree index is further calculated through the accumulation evaluation module, providing the ability to accurately quantify and dynamically track the accumulation state of fine flocs, and accurately grasp the accumulation process of fine flocs in the inclined plate sedimentation tank during operation. Through the comprehensive analysis of multi-dimensional parameters, the accumulation degree index not only improves the recognition accuracy of the early accumulation state, but also enhances the adaptability and responsiveness under different accumulation scenarios, ensuring the continuous stability of water quality. During operation, through the dynamic update of the accumulation degree index, the fluctuation of sedimentation efficiency caused by uneven accumulation can be significantly reduced, so that the overall operating efficiency can be maintained at a high level under low maintenance costs, the cleaning cycle of the equipment can be extended and the frequency of unnecessary cleaning operations can be reduced, and the cost-effectiveness of the entire water treatment process can be optimized.

[0066] In the treatment of fluorine-containing wastewater, the accumulation of fine flocs on the surface of the inclined plate will gradually reduce the sedimentation efficiency of the sedimentation tank, thereby affecting the effluent quality. The specific degree of accumulation can be obtained through the accumulation degree index, providing data support for the setting of the cleaning water flow rate, cleaning direction and cleaning time. According to the actual accumulation situation, the cleaning mode parameters are dynamically generated to match the cleaning intensity with the accumulation state, ensuring the efficient operation of the sedimentation tank under different accumulation conditions.

[0067] The operation process of the cleaning setting module includes the following:

[0068] Based on the results of the accumulation degree index, in order to ensure the effective cleaning of fine flocs on the inclined plate surface, the cleaning water flow rate, direction and duration are gradually set to adapt to different accumulation states. This process comprehensively considers the severity of accumulation, uniform distribution of water flow and coverage characteristics of the accumulation area. The specific treatment is as follows:

[0069] Cleaning water flow rate V clean :The water flow rate determines the cleaning intensity. As the accumulation index increases, the water flow rate needs to be increased accordingly to ensure effective flushing.

[0070] Cleaning direction coefficient D clean : Used to distribute the coverage of the cleaning water flow, adjust the directionality of the water flow according to the degree of accumulation, and ensure uniform coverage of the accumulation area.

[0071] Cleaning time T clean :The cleaning time affects the time period covered by the cleaning effect. Sufficient cleaning time needs to be set according to the cumulative severity to completely remove fine flocs.

[0072] The water flow rate setting needs to adapt to the difference in accumulation degree. The water flow rate is increased graded by the accumulation degree index to adapt to the accumulated resistance. The calculation formula is as follows: V base: Basic cleaning flow rate, used to set the minimum water flow force for cleaning. ln(1+CTI): The logarithmic form of the accumulation index increases the sensitivity to changes in water flow rate. As the accumulation intensifies, the water flow rate increases more significantly, ensuring effective flushing of high accumulation areas. k1: Adjustment coefficient to prevent the water flow rate from being too high to avoid impact on the equipment.

[0073] The cleaning direction coefficient is used to dynamically adjust the water flow direction to cope with the distribution characteristics of different accumulation areas. This parameter changes according to the accumulation index value to ensure uniform coverage of the water flow. The calculation is as follows: sin(CTI): The sine form based on the cumulative degree index characterizes the cumulative distribution state. As the cumulative degree index increases, the coverage of the cleaning direction increases. max : Maximum directional coefficient, used to set the maximum directional coverage of the cleaning water flow.

[0074] The cleaning duration ensures sufficient coverage time by smoothly mapping the accumulation degree index to avoid excessive cleaning and unnecessary resource consumption. The formula is as follows: T base : Basic cleaning time, providing the minimum time to ensure the cleaning effect under low accumulation conditions. The square root form of the accumulation degree index smoothly adjusts the duration to make the cleaning duration compatible with the accumulation degree. k2: Duration adjustment coefficient, which controls the cleaning time not to be too long when the accumulation degree index value is high, ensuring the rational use of cleaning resources.

[0075] The cleaning water flow rate, cleaning direction coefficient and cleaning time are used as the cleaning mode parameter set for specific cleaning operations. Each parameter is dynamically adjusted according to the accumulation degree index to achieve the cleaning intensity and coverage that is suitable for the accumulation state of fine flocs, ensuring the recovery of the sedimentation effect.

[0076] Through the dynamic adjustment of the accumulation index results and cleaning parameters by the cleaning setting module, the cleaning process can adapt to the accumulation changes of fine flocs, achieve accurate cleaning, and prevent excessive or insufficient cleaning operations. By dynamically setting the flow rate, direction and duration of the cleaning water, it can not only effectively remove the accumulated flocs and ensure the fluidity and sedimentation effect of the sedimentation tank, but also reduce unnecessary water resource consumption and equipment maintenance frequency. This treatment process ensures the stability, continuity and efficiency of fluorine-containing wastewater treatment by matching the cleaning intensity and accumulation level step by step, further extending the operation cycle of the sedimentation tank and optimizing the overall cost-effectiveness of the wastewater treatment process.

[0077] After the cleaning operation, the cleaning effect is evaluated by comparing the water quality change rate and fluctuation frequency before and after cleaning, and the parameters for fine floc accumulation identification are optimized accordingly, making subsequent accumulation monitoring more accurate and adaptive. The effect optimization module comprehensively analyzes the water quality fluctuation data before and after cleaning, adjusts the accumulation identification threshold, and ensures the timeliness of subsequent cleaning and maintenance.

[0078] The operation process of the effect optimization module includes the following:

[0079] Water quality change rate ΔR W : Refers to the difference in water quality recovery speed before and after cleaning, used to evaluate the impact of cleaning on water quality fluctuations, including the difference in inflow and outflow turbidity and flow changes, and is defined as follows: Where, ΔT pre (t) and ΔT post (t) represents the difference in turbidity in each cycle before and after cleaning; ΔQ pre (t) and ΔQ post (t) is the difference in flow rate before and after cleaning, and n is the number of data points in the observation period. A larger rate of change in water quality indicates a significant cleaning effect.

[0080] Fluctuation frequency difference ΔF B : Used to quantify the change in the frequency of water quality fluctuations before and after cleaning. If the cleaning is effective, the fluctuation frequency should drop significantly. The definition is as follows: ΔF B =F pre -F post Among them, F pre and F post is the frequency of water quality fluctuation before and after cleaning. The larger difference in fluctuation frequency indicates that cleaning has a positive effect on suppressing fluctuations.

[0081] In order to optimize the cumulative recognition threshold, the cumulative recognition optimization coefficient ROC is constructed according to the normalized value of the water quality change rate and fluctuation frequency difference, and the cleaning effect is fed back into the cumulative threshold adjustment. The calculation formula of the cumulative recognition threshold is as follows: Product term: The product of reflects the combined effect of water quality recovery speed and fluctuation frequency. If both are positive, it means that cleaning has a significant effect in accelerating water quality recovery and suppressing fluctuations, thereby amplifying the cumulative identification optimization coefficient value. Balance item: The fluctuation of the cumulative identification optimization coefficient is controlled when the difference between water quality recovery and fluctuation frequency is large, to prevent the fluctuation of a single parameter from causing the cumulative identification optimization coefficient value to be too large or too small, so as to achieve the stability of the cumulative identification optimization coefficient.

[0082] According to the optimization effect of the cumulative recognition optimization coefficient on the recognition threshold, a new cumulative recognition threshold is generated to adapt to the cumulative changes after cleaning. The formula is as follows: The original cumulative recognition threshold RT base is the minimum cumulative recognition standard. Smoothing adjustment term Ensure the adaptive adjustment of the cumulative recognition optimization coefficient to the cumulative recognition threshold, ensure that the cumulative recognition threshold changes with the cleaning effect and maintains adaptability. Coefficient k3 controls the influence of the cumulative recognition optimization coefficient on the recognition threshold, ensure that the recognition threshold is adjusted moderately, and avoid excessive fluctuations in recognition sensitivity.

[0083] Through the precise evaluation of the cleaning effect and the optimization adjustment of the identification threshold by the effect optimization module, the judgment of the accumulation state and the cleaning conditions form a closed-loop feedback, ensuring the adequacy of the cleaning operation and the stability of water quality recovery. Through the joint analysis of the water quality change rate and the fluctuation frequency, the identification threshold after cleaning can not only better adapt to the current operating state, but also can be effectively adjusted at different accumulation stages, thereby improving the continuous treatment efficiency of the inclined plate sedimentation tank. This process overall enhances the reliability and stability of wastewater treatment, reduces the frequency and resource input of cleaning operations, and extends the effective operation cycle of the equipment, thereby optimizing the overall treatment cost and efficiency.

[0084] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0085] The above description is only by way of illustration of certain exemplary embodiments of the present invention. It is undoubted that those skilled in the art can modify the described embodiments in various ways without departing from the spirit and scope of the present invention. Therefore, the above drawings and descriptions are illustrative in nature and should not be construed as limiting the scope of protection of the claims of the present invention.

[0086] It should be noted that, in this article, if there are relational terms such as first and second, etc., they are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "including a..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0087] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A special inclined plate flushing management system for defluorination, characterized in that: include: Data collection module, cumulative evaluation module, cleaning setting module and effect optimization module; Data acquisition module: obtains the inflow and outflow water quality data of fluoride-containing wastewater, identifies the abnormal fluctuation characteristics of water quality, generates preliminary signals of fine floc accumulation, and sends the preliminary signals to the accumulation evaluation module; Accumulation evaluation module: Based on the preliminary signal, the accumulation degree of fine flocs is calculated and an accumulation degree index is generated, which is then transmitted to the cleaning setting module; Cleaning setting module: according to the accumulation degree index, the cleaning water flow rate, direction and duration are set, and the corresponding cleaning mode parameters are generated. The generated cleaning mode parameters are used to drive the actual cleaning, and the cleaning operation data is passed to the effect optimization module; Effect optimization module: compare the water quality change rate and fluctuation frequency before and after cleaning, and adjust the cumulative recognition threshold.

2. A special inclined plate flushing management system for defluorination according to claim 1, characterized in that: The operation process of the data acquisition module includes the following: Taking into account the relative changes in turbidity and flow, and based on the instantaneous fluctuations of influent and effluent water, the water quality fluctuation characteristic index WVI is constructed as follows: Turbidity deviation term Used to measure the effect of the accumulation on the inclined plate surface on the turbidity of the outlet water; flow deviation term Used to quantify the deviation of the change of inlet and outlet water flow; ∈1 and ∈2 are small constants; T in (t) and T out (t) represent the turbidity value of the inlet and outlet water at the current moment; Q in (t) and Q out (t) respectively represent the inlet and outlet water flow at the current moment; Calculate the fluorine concentration deviation factor FD as follows: Among them, ∈3 is a constant; F in (t) and F out (t) represents the fluoride concentration of the inlet and outlet water at the current moment; Used to measure the change in fluoride concentration of inlet and outlet water; The water quality fluctuation characteristic index and the fluorine concentration deviation factor are normalized, and then the normalized water quality fluctuation characteristic index and the fluorine concentration deviation factor are combined to form the fine floc accumulation index; After obtaining the fine floc accumulation index, the fine floc accumulation index value is compared with the preset accumulation recognition threshold. When the fine floc accumulation index value exceeds the accumulation recognition threshold for a consecutive rated number of times and shows an upward trend, it indicates that the fine flocs on the inclined plate surface have reached the accumulation level that affects the water quality and a preliminary signal is generated.

3. A special inclined plate flushing management system for defluorination according to claim 2, characterized in that: The operation process of the cumulative assessment module includes the following: If a preliminary signal is obtained, a cumulative degree index is established, and a step-by-step calculation is performed based on the dynamic flow difference, effluent turbidity and cumulative signal stability. The processing process includes the following specific steps: The flow fluctuation difference ΔQ is used to quantify the degree of this resistance increase, which is defined as the sum of the cumulative deviations of the inlet and outlet water flows during the detection period: ΔQ = ∑ t |Q in (t)-Q out (t)|; where the water flow rate in the current cycle is Q in (t), the water flow rate is Q out (t); Cumulative conditions are identified by the turbidity fluctuation difference ΔT, which is used to represent the average rate of change of the turbidity of the outflow water relative to the inflow water and is defined as follows: Among them, T in (t) and T out (t) are the turbidity of inlet and outlet water, respectively, and N is the number of time points collected; If the preliminary signal generated in the data acquisition module is continuous and stable over multiple cycles, it indicates that the accumulation of fine flocs has reached a certain level, and the cumulative signal stability S sig Used to measure the duration and strength of preliminary signals: The accumulation index CTI of fine flocs is obtained by combining the flow fluctuation difference, turbidity fluctuation difference and the normalized index of cumulative signal stability.

4. A special inclined plate flushing management system for defluorination according to claim 3, characterized in that: The operation process of the cleaning setting module includes the following: Based on the results of the accumulation degree index, in order to ensure the effective cleaning of fine flocs on the inclined plate surface, the cleaning water flow rate, direction and duration are gradually set to adapt to different accumulation states. This process comprehensively considers the severity of accumulation, uniform distribution of water flow and coverage characteristics of the accumulation area. The specific treatment is as follows: Cleaning water flow rate V clean :The water flow rate determines the cleaning intensity. As the accumulation index increases, the water flow rate needs to be increased accordingly to ensure effective flushing; The water flow rate setting needs to adapt to the difference in accumulation degree. The water flow rate is increased by the accumulation degree index to adapt to the accumulated resistance. The calculation formula is as follows: V base : Basic cleaning flow rate, used to set the minimum water flow force for cleaning; ln(1+CTI): The logarithmic form of the cumulative degree index enhances sensitivity to changes in water flow rate; k1: Adjustment coefficient to prevent the water flow rate from being too high to avoid impact on the equipment.

5. A special inclined plate flushing management system for defluorination according to claim 4, characterized in that: The operation process of the cleaning setting module also includes the following: Cleaning direction coefficient D clean : Used to distribute the coverage of the cleaning water flow, adjust the directionality of the water flow according to the degree of accumulation, and ensure uniform coverage of the accumulation area; The cleaning direction coefficient is used to dynamically adjust the water flow direction to cope with the distribution characteristics of different accumulation areas. It changes according to the accumulation index value to ensure uniform coverage of the water flow. The calculation is as follows: sin(CTI): The sine form based on the cumulative degree index characterizes the cumulative distribution state. As the cumulative degree index increases, the coverage of the cleaning direction increases; D max : Maximum directional coefficient, used to set the maximum directional coverage of the cleaning water flow.

6. A special inclined plate flushing management system for defluorination according to claim 5, characterized in that: The operation process of the cleaning setting module also includes the following: Cleaning time T clean : The cleaning time affects the time period covered by the cleaning effect. According to the cumulative severity, sufficient cleaning time is set to completely remove fine flocs; The cleaning duration ensures sufficient coverage time by smoothing the accumulation degree index. The formula is as follows: T base : Basic cleaning time; The cumulative degree index is smoothed in the form of a square root to adjust the duration; k2: duration adjustment coefficient.

7. A special inclined plate flushing management system for defluorination according to claim 6, characterized in that: The operation process of the effect optimization module includes the following: Water quality change rate ΔR W : Refers to the difference in water quality recovery speed before and after cleaning, used to evaluate the impact of cleaning on water quality fluctuations, including the difference in inflow and outflow turbidity and flow changes, and is defined as follows: Where, ΔT pre (t) and ΔT post (t) represents the difference in turbidity in each cycle before and after cleaning; ΔQ pre (t) and ΔQ post (t) is the difference in flow rate before and after cleaning, and n is the number of data points in the observation period; Fluctuation frequency difference ΔF B : Used to quantify the change in the frequency of water quality fluctuations before and after cleaning. If the cleaning is effective, the fluctuation frequency should drop significantly. It is defined as follows: ΔF B =F pre -F post Among them, F pre and F post is the frequency of water quality fluctuation before and after cleaning; in order to optimize the cumulative recognition threshold, the cumulative recognition optimization coefficient ROC is constructed according to the normalized value of the difference between the water quality change rate and the fluctuation frequency; According to the optimization effect of the cumulative recognition optimization coefficient on the recognition threshold, a new cumulative recognition threshold is generated to adapt to the cumulative changes after cleaning. The formula is as follows: The original cumulative recognition threshold RT base is the minimum cumulative recognition standard; the coefficient k3 controls the influence of the cumulative recognition optimization coefficient on the recognition threshold.

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