A defluorination sludge dispersion and reuse system

Abstract

A defluorination sludge dispersion and reuse system, comprising a fluorine monitoring unit for detecting the fluorine content in the water to be treated, a plurality of colloid mill ultrasonic dispersion units for dispersing the fluorine-containing sludge, and a central processor for predicting the output of the fluorine-containing sludge and allocating the corresponding colloid mill ultrasonic dispersion units. The central processor includes a prediction unit, a dispersion allocation unit, and a data collection unit. The prediction unit uses the density clustering method to respectively predict the time T required for defluorination of the real-time concentration C2 to the target concentration C0 in each sewage treatment unit according to the monitoring data of the fluorine monitoring unit. The dispersion allocation unit determines the activation scheme of the colloid mill ultrasonic dispersion unit according to the working conditions of each colloid mill ultrasonic dispersion unit. The data collection unit sorts and marks the monitoring data of the fluorine monitoring unit to obtain the collected data. The present invention realizes the dispersion and reuse of the fluorine-containing sludge generated when multiple sewage treatment units simultaneously carry out sewage defluorination.

Description

Technical Field

[0001] The present invention relates to the technical field of recycling of fluorine-containing sludge, and more specifically, to a system for dispersedly recycling defluorinated sludge. Background Art

[0002] Defluorinated sludge is a kind of solid residue with high water content and containing fluorides, residual flocculants, etc. generated in the treatment of fluorine-containing wastewater discharged from industrial production. In sewage treatment, the treatment cost of fluorine-containing sludge accounts for a very large proportion, and the subsequent treatment of fluorine-containing sludge is an important part of the operation of sewage treatment plants and environmental governance.

[0003] Defluorinated sludge reduction refers to a technical solution for reducing the original sludge volume. Sludge reduction can, on the one hand, reduce environmental pollution, and on the other hand, solve the cost and problems of sludge treatment in sewage treatment plants. In modern sewage treatment, when the cost of sludge treatment accounts for a quite large proportion, sludge reduction can reduce costs and promote sustainable development.

[0004] For example, in the process of deep defluorination by aluminum salt coagulation method, after the aluminum salt is added to water, the complexation of Al n with F - , the intermediate products of aluminum salt hydrolysis and the subsequently formed amorphous Al(OH) flocs can remove F - in water through ion exchange, adsorption and sweeping of F - . When removing 1 mg / L of fluoride ions, the dosage of aluminum ion flocculant is more than 20 mg / L, indicating that the proportion of aluminum ions consumed by the chemical reaction of aluminum ions and fluoride ions to form aluminum fluoride is 5%, and most of the aluminum-based salts precipitate to form sludge. At the same time, due to the addition of PAM (polyacrylamide, a high-molecular coagulant aid) in the flocculation reaction, the aluminum ions in the sludge cannot be released into the water to react.

[0005] Based on the above reasons, it is not difficult to see that in the recycling of defluorinated sludge, directly recycling the fluorine-containing sludge is not only extremely important for reducing the amount of fluorine-containing sludge, but also reduces the dosage of defluorinating agents. However, in the prior art, the effective aluminum ions in the fluorine-containing sludge cannot be released efficiently and harmlessly.

[0006] Therefore, the problems existing in the prior art need to be further improved and developed. Summary of the Invention

[0007] (1) Object of the Invention: To solve the problems existing in the above prior art, the object of the present invention is to provide a system for dispersedly recycling defluorinated sludge.

[0008] (2) Technical solution: To solve the above technical problems, this technical solution provides a defluorinated sludge dispersion and reuse system for a fluorine-containing sewage treatment system including multiple sewage treatment units, including a fluorine monitoring unit for detecting the fluorine content in the water to be treated, multiple colloid mill ultrasonic dispersion units for dispersing the fluorine-containing sludge, and a central processor for predicting the output of the fluorine-containing sludge and allocating the corresponding colloid mill ultrasonic dispersion units.

[0009] Each colloid mill ultrasonic dispersion unit includes a colloid mill device and an ultrasonic generating device. The colloid mill device grinds and disperses the added fluorine-containing sludge, and the ultrasonic generating device generates ultrasonic waves to ultrasonically disperse the added fluorine-containing sludge.

[0010] The central processor includes a prediction unit, a dispersion allocation unit, and a data collection unit. The prediction unit uses the density clustering method to predict the time T required for each sewage treatment unit to defluorinate the real-time concentration C2 to the target concentration C0 according to the monitoring data of the fluorine monitoring unit. The dispersion allocation unit determines the activation scheme of the colloid mill ultrasonic dispersion unit according to the working conditions of each colloid mill ultrasonic dispersion unit. The data collection unit sorts and marks the monitoring data of the fluorine monitoring unit to obtain the collected data.

[0011] Among them, the prediction unit of the central processor uses the density clustering method to predict the time T required for each sewage treatment unit to defluorinate the real-time concentration C2 to the target concentration C0 according to the monitoring data of the fluorine monitoring unit, including the following steps.

[0012] Step A1, the prediction unit determines the time T required for different initial fluorine concentrations C1 to defluorinate to the target concentration C0 according to the collected data to obtain a sample data set.

[0013] Step B1, the prediction unit divides the initial fluorine concentration C1 into multiple initial concentration intervals by the aggregation method according to the time T required for different initial fluorine concentrations C1 to defluorinate to the target concentration C0.

[0014] Step C1, the prediction unit selects the initial concentration interval to which the current real-time concentration C2 belongs to obtain the current initial concentration interval.

[0015] Step D1, the prediction unit uses the density clustering method to determine the time T corresponding to the current initial concentration interval. 目标 .

[0016] Among them, in step B1, the initial fluorine concentration C1 is divided into multiple initial concentration intervals by the aggregation method, and the specific implementation process is as follows.

[0017] Set the aggregation value G.

[0018] Starting from the time T required for the target concentration C0, the time T required to defluorinate to the target concentration C0 is incremented successively by the rounding value G;

[0019] After the time T required to defluorinate to the target concentration C0 is incremented successively by the rounding value G, multiple new times T are obtained. Each initial fluorine concentration C1 corresponding to each new time T in the sample dataset is the endpoint value of the initial concentration interval, thereby obtaining multiple adjacent initial concentration intervals in sequence.

[0020] Among them, the rounding value is the maximum difference in the time T required to defluorinate the same initial fluorine concentration C1 to the target concentration C0 in the sample dataset.

[0021] Among them, in the step D1, the prediction unit uses the density clustering method to determine the time T corresponding to the current initial concentration interval 目标 , and the specific implementation process is as follows.

[0022] Step D101, the prediction unit selects all sample data corresponding to the current initial concentration interval in the sample dataset, and the sample data corresponding to the current initial concentration interval forms the target sample dataset;

[0023] Step D102, the prediction unit marks the sample data in the target sample dataset in the concentration-temperature coordinate respectively to obtain the sample coordinates;

[0024] Step D103, the prediction unit selects the core samples according to all the times T in the target sample dataset and sets a constant E as the clustering radius;

[0025] Step D104, the prediction unit takes the core samples in the sample coordinates as the starting point, uses E as the clustering radius, and clusters the coordinate points in the sample coordinates. The clustered coordinate points in the sample coordinates form the clustering coordinate set;

[0026] Step D105, the prediction unit selects the maximum time T and the minimum time T required for the initial fluorine concentration C1 to defluorinate to the target concentration C0 in the clustering coordinate set max corresponding coordinate points as the target clustering coordinate points; then, according to the time T required for the initial fluorine concentration C1 corresponding to the target clustering coordinate points to defluorinate to the target concentration C0, calculate the time T corresponding to the current initial concentration interval min . 目标 .

[0027] Among them, the step D102 also includes constructing the concentration-temperature coordinate. The specific construction process is that the prediction unit establishes a plane rectangular coordinate system and determines the meanings of the X-axis and Y-axis in the plane rectangular coordinate system.

[0028] Among them, in step D103, selecting the core sample specifically means sorting all sample data in the target sample dataset according to time T, and selecting the median sample data as the core sample.

[0029] Among them, in step D104, it specifically includes

[0030] In the sample coordinates, select the coordinate points within the range with the core sample as the starting point and a constant E as the radius. The coordinate points within this range are used as the clustering coordinate points. This process is the clustering.

[0031] Cluster each clustering coordinate respectively, that is, take each clustering coordinate point as the center of a circle, and select the coordinate points within the range with E as the radius. The coordinate points within this range are also used as the clustering coordinate points.

[0032] After performing multi-level clustering on the clustering coordinate points, all the obtained clustering coordinate points are the coordinate points in the sample coordinates that are clustered, and they form the clustering coordinate set.

[0033] Among them, the dispersion allocation unit of the central processor determines the enabling scheme of the colloid mill ultrasonic dispersion unit according to the working conditions of each colloid mill ultrasonic dispersion unit, including the following steps

[0034] Step A2, the dispersion allocation unit of the central processor selects the target sewage treatment unit according to the time T required for the initial fluorine concentration C1 corresponding to the current initial concentration range of each sewage treatment unit to be defluorinated to the target concentration C0 目标 , and determines the time for the target sewage treatment unit to discharge fluorine-containing sludge.

[0035] Step B2, the dispersion allocation unit selects, among multiple colloid mill ultrasonic dispersion units, the colloid mill ultrasonic dispersion units that are in a non-working state within the first time threshold after the time when the target sewage treatment unit discharges fluorine-containing sludge.

[0036] Step C2, the dispersion allocation unit selects the colloid mill ultrasonic dispersion unit corresponding to the target sewage treatment unit according to the distance between the target sewage treatment unit and each non-working colloid mill ultrasonic dispersion unit, and obtains the target colloid mill ultrasonic dispersion unit.

[0037] Step D2, the dispersion allocation unit determines the enabling scheme of the colloid mill ultrasonic dispersion unit according to the time when the target sewage treatment unit discharges fluorine-containing sludge and the time when the target colloid mill ultrasonic dispersion unit is in a non-working state.

[0038] Among them, the decentralized distribution unit of the central processor determines the enabling scheme of the colloid mill ultrasonic dispersion unit according to the working conditions of each colloid mill ultrasonic dispersion unit, and further includes step E2, where the dispersion distribution unit calculates the fluorine-containing sludge generation amount D of the target sewage treatment unit and the time required for the target colloid mill ultrasonic dispersion unit to complete this dispersion task.

[0039] (III) Beneficial effects: The present invention provides a defluorinated sludge dispersion and recycling system, which realizes the dispersion and recycling of fluorine-containing sludge generated when multiple sewage treatment units simultaneously remove fluorine from sewage. Moreover, it improves the utilization rate of the colloid mill ultrasonic dispersion unit and reduces the transportation distance of the fluorine-containing sludge to be dispersed. Description of the Drawings

[0040] Figure 1 It is a schematic diagram of the steps for the prediction unit in a defluorinated sludge dispersion and recycling system of the present invention to predict the time T required for the real-time concentration C2 in each sewage treatment unit to be defluorinated to the target concentration C0.

[0041] Figure 2 It is a schematic diagram of the steps for the prediction unit in a defluorinated sludge dispersion and recycling system of the present invention to determine the time T corresponding to the current initial concentration range by using the density clustering method. 目标 of the steps. Detailed Embodiments

[0042] The following further describes the present invention in detail with reference to preferred embodiments. More details are set forth in the following description to facilitate a full understanding of the present invention. However, the present invention is obviously capable of being implemented in many other ways different from this description. Those skilled in the art can make similar generalizations and deductions according to the actual application situation without departing from the connotation of the present invention. Therefore, the protection scope of the present invention should not be limited by the content of this specific embodiment.

[0043] The drawings are schematic diagrams of the embodiments of the present invention. It should be noted that these drawings are only examples and are not drawn under the condition of equal proportions, and should not be used to limit the actual scope of protection required by the present invention.

[0044] A defluorinated sludge dispersion and recycling system is used for a fluorine-containing sewage treatment system including multiple sewage treatment units. Among them, in the fluorine sewage treatment system, multiple sewage treatment units respectively treat the fluorine-containing sewage to increase the treatment capacity of the fluorine-containing sewage.

[0045] A defluorinated sludge dispersion and recycling system includes a fluorine monitoring unit for detecting the fluorine content in the water to be treated, multiple colloid mill ultrasonic dispersion units for dispersing the fluorine-containing sludge, and a central processor for predicting the output of the fluorine-containing sludge and allocating the corresponding colloid mill ultrasonic dispersion units.

[0046] The fluorine monitoring unit and the colloid mill ultrasonic dispersion unit are respectively connected to the central processor. The central processor receives the monitoring data of the fluorine monitoring unit, including the initial concentration of fluorine content in the sewage to be treated and the real-time concentration of fluorine content in the sewage. The central processor sends a dispersion command to the colloid mill ultrasonic dispersion unit. The dispersion command includes the colloid mill ultrasonic dispersion unit corresponding to the current sewage treatment unit to be started, the time for the current sewage treatment unit to discharge fluorine-containing sludge, and the start / stop of the colloid mill, start / stop of ultrasonic dispersion, ultrasonic dispersion frequency, etc. of the corresponding colloid mill ultrasonic dispersion unit.

[0047] The fluorine monitoring unit includes a first fluorine monitoring unit and a second fluorine monitoring unit. The first fluorine monitoring unit is arranged at the inlet of the fluorine-containing sewage in the fluorine sewage treatment system and is used for monitoring the initial concentration of fluorine content in the sewage to be treated to obtain the initial fluorine concentration C1. The second fluorine monitoring unit is arranged in each sewage treatment unit in the fluorine sewage treatment system and is used for monitoring the real-time concentration of fluorine content in the sewage undergoing defluorination. The number of the second fluorine monitoring units in each sewage treatment unit is N, and N is a positive integer greater than or equal to 2. The second fluorine monitoring units in each sewage treatment unit are evenly distributed in the sewage treatment unit. The central processor takes the average value of the monitoring data of the N second fluorine monitoring units in the same sewage treatment unit at the same moment as the real-time concentration C2 at this moment.

[0048] In the fluorine sewage treatment system, each sewage treatment unit is respectively provided with a sludge discharge device. The discharge port of the sludge discharge device is connected to the colloid mill ultrasonic dispersion unit. The discharge ports of the sludge discharge devices of each sewage treatment unit are respectively connected to each colloid mill ultrasonic dispersion unit. The fluorine-containing sludge discharged from each sewage treatment unit is input into the corresponding colloid mill ultrasonic dispersion unit according to the dispersion command of the central processor. After the colloid mill ultrasonic dispersion unit disperses the input fluorine-containing sludge, it is added as a recycled defluorination agent to the designated sewage treatment unit.

[0049] Each of the colloid mill ultrasonic dispersion units includes a colloid mill device and an ultrasonic generating device. The colloid mill device grinds and disperses the added fluorine-containing sludge, and the ultrasonic generating device generates ultrasonic waves to ultrasonically disperse the added fluorine-containing sludge. The ultrasonic generating device can ultrasonically vibrate the fluorine-containing sludge during the colloid mill process to accelerate the dispersion of the fluorine-containing sludge, or can ultrasonically vibrate it after the colloid mill dispersion to further disperse the fluorine-containing sludge that has undergone colloid mill dispersion. The colloid mill device includes a cooling structure for reducing the temperature during the operation of the colloid mill ultrasonic dispersion unit.

[0050] The central processor includes a prediction unit, a decentralized allocation unit, and a data collection unit. The prediction unit uses the density clustering method to predict the time T required for each sewage treatment unit to defluorinate the real-time concentration C2 to the target concentration C0 according to the monitoring data of the fluorine monitoring unit. The decentralized allocation unit determines the activation scheme of the colloid mill ultrasonic dispersion unit according to the working conditions of each colloid mill ultrasonic dispersion unit. The data collection unit sorts and labels the monitoring data of the fluorine monitoring unit to obtain the collected data. The collected data includes the fluorine content concentration monitored by the fluorine monitoring unit, the corresponding fluorine monitoring unit, and the monitoring time, etc.

[0051] It should be noted that in the fluorine sewage treatment system, the fluorine concentration of the fluorine-containing sewage to be treated is generally greater than 10mg / L - 30mg / L, and the minimum fluorine concentration, that is, the value of the target concentration C0, depends on the applicable discharge standard:

[0052] When the discharge standard is the first-class standard, in the fluorine sewage treatment system, the fluorine concentration of the fluorine-containing sewage to be treated is greater than 10mg / L, that is, the target concentration C0 = 10mg / L;

[0053] When the discharge standard is the second-class standard, in the fluorine sewage treatment system, the fluorine concentration of the fluorine-containing sewage to be treated is greater than 20mg / L, that is, the target concentration C0 = 20mg / L;

[0054] When the discharge standard is the third-class standard, in the fluorine sewage treatment system, the fluorine concentration of the fluorine-containing sewage to be treated is greater than 30mg / L, that is, the target concentration C0 = 30mg / L.

[0055] The prediction unit of the central processor includes an initial sample data set, and the initial sample data set includes different initial fluorine concentrations C1 and the time T required for the unit fluorine-containing sewage with different initial fluorine concentrations C1 (that is, the time required to defluorinate the initial fluorine concentration C1 to the target concentration C0). The initial sample data set is obtained based on experiments and / or calculations to meet the credibility of the samples.

[0056] The time T required for the real-time concentration C2 to defluorinate to the target concentration C0 can also be abbreviated as time T in the following content.

[0057] As Figure 1 shown, the prediction unit of the central processor uses the density clustering method to predict the time T required for each sewage treatment unit to defluorinate the real-time concentration C2 to the target concentration C0 according to the monitoring data of the fluorine monitoring unit, including the following steps,

[0058] Step A1, the prediction unit determines the time T required for different initial fluorine concentrations C1 to defluorinate to the target concentration C0 according to the collected data to obtain the sample data set;

[0059] Step B1: The prediction unit divides the initial fluorine concentration C1 into multiple initial concentration intervals by the rounding method according to the time T required for defluorination from different initial fluorine concentrations C1 to the target concentration C0.

[0060] Step C1: The prediction unit selects the initial concentration interval to which the current real-time concentration C2 belongs to obtain the current initial concentration interval.

[0061] Step D1: The prediction unit uses the density clustering method to determine the time T corresponding to the current initial concentration interval. 目标 。

[0062] In the said Step A1, the prediction unit calculates the time T required for defluorination from different initial fluorine concentrations C1 to the target concentration C0 according to the fluorine content concentration and monitoring time in the collected data.

[0063] When the sample data set cannot meet the sample requirements, the initial sample data set and the sample data set obtained by the prediction unit are combined into the current sample data set to meet the sample requirements. The sample data set includes different sample data, and the sample data at least includes the initial fluorine concentration C1 and the time T required for defluorination from the initial fluorine concentration C1 to the target concentration C0, and the time T required for defluorination from each initial fluorine concentration C1 to the target concentration C0 is associated with the matching initial concentration C1.

[0064] The real-time concentration at the previous moment detected by the second fluorine monitoring unit can also be used as the initial concentration C1, which refers to all moments when the real-time concentration detected by the second fluorine monitoring unit is greater than the target concentration C0, so as to increase the number of sample data in the sample data set.

[0065] In the said Step B1, the initial fluorine concentration C1 is divided into multiple initial concentration intervals by the rounding method. The specific implementation process is as follows.

[0066] Set the rounding value G. The rounding value can be the maximum difference in the time T required for defluorination from the same initial fluorine concentration C1 to the target concentration C0 in the sample data set. It can be input or modified through the input unit of the central processor, or the rounding value with the most input times can be selected as the current rounding value according to the input records of the input unit, or the median of the rounding values input in the input records of the input unit can be selected. There is no specific limitation here.

[0067] Starting from the time T required for the target concentration C0, the time T required for defluorination to the target concentration C0 is incremented by the rounding value G in turn.

[0068] After the time T required to defluorinate to the target concentration C0 is incremented by the aggregation value G in sequence to obtain multiple new times T, each new time T corresponds to each initial fluorine concentration C1 in the sample dataset as the endpoint value of the initial concentration interval, thereby obtaining multiple adjacent initial concentration intervals in sequence. When each new time T corresponds to each initial fluorine concentration C1 in the sample dataset, if the time T corresponds to multiple initial fluorine concentrations C1, then select the initial concentration C1 with the most occurrences corresponding to the time T as the initial fluorine concentration C1 corresponding to the time T.

[0069] For example, when defluorinating the initial concentration C1 to the target concentration C0, the time T required to defluorinate it to the target concentration C0 is t1. When starting with the time T required for the target concentration C0, t1 = 0. Increase t1 by the aggregation value G to obtain the times T corresponding to the endpoint values of the first initial concentration interval and the second initial concentration interval, that is, t1 + G (0 + G). The initial fluorine concentration C1 corresponding to t1 + G is the endpoint value of the first initial concentration interval and the second initial concentration interval. Specifically, the initial concentration intervals are (C0, the initial fluorine concentration C1 corresponding to t1 + G], (the initial fluorine concentration C1 corresponding to t1 + G, the initial fluorine concentration C1 corresponding to t1 + 2*G], (the initial fluorine concentration C1 corresponding to t1 + 2*G, the initial fluorine concentration C1 corresponding to t1 + 3*G]... (the initial fluorine concentration C1 corresponding to t1 + (n - 1)*G, the initial fluorine concentration C1 corresponding to t1 + n*G]. The initial fluorine concentration C1 corresponding to t1 + n*G is greater than or equal to the maximum value of the fluorine concentration in the water to be treated.

[0070] In the step C1, the prediction unit selects the initial concentration interval including the current real-time concentration C2 as the previous initial concentration interval among multiple initial concentration intervals.

[0071] As Figure 2 shown, in the step D1, the prediction unit uses the density clustering method to determine the time T corresponding to the current initial concentration interval. The specific implementation process is as follows.

[0072] Step D101, the prediction unit selects all sample data corresponding to the current initial concentration interval in the sample dataset according to the current initial concentration interval, and all sample data corresponding to the current initial concentration interval form the target sample dataset.

[0073] Step D102, the prediction unit marks the sample data in the target sample dataset on the concentration-temperature coordinate respectively to obtain the sample coordinates. The sample coordinates include the concentration-temperature coordinate and the coordinate points of the sample data in the target sample dataset on the concentration-temperature coordinate.

[0074] Step D102 further includes constructing a concentration-temperature coordinate. The specific construction process is as follows: The prediction unit establishes a rectangular coordinate system and determines the meanings of the X-axis and Y-axis in the rectangular coordinate system. For example, the X-axis represents the current real-time concentration C2, and the value range of the X-axis is the current initial concentration interval; the Y-axis represents the time T required to defluorinate the initial fluorine concentration C1 to the target concentration C0.

[0075] Step D103: The prediction unit selects core samples according to all the times T in the target sample dataset and sets a constant E as the clustering radius.

[0076] In step D103, when selecting core samples, specifically, all the sample data in the target sample dataset can be sorted according to the time T, either from large to small or from small to large, and no specific limitation is made here. Among the target sample dataset sorted according to the time T, the median sample data is selected, and the median sample data is the selected core sample. The median sample data refers to the sample data in the middle position in the target sample dataset sorted according to the time T.

[0077] The prediction unit can set the specific value of the constant E according to the value input by the input unit.

[0078] Step D104: The prediction unit takes the core sample in the sample coordinates as the starting point and uses E as the clustering radius to cluster the coordinate points in the sample coordinates. The coordinate points in the sample coordinates that can be clustered form a clustering coordinate set.

[0079] In step D104, clustering the coordinate points in the sample coordinates specifically includes:

[0080] In the sample coordinates, select the coordinate points within the range with the core sample as the starting point and the constant E as the radius. The coordinate points within this range are used as clustering coordinate points, and this process is clustering.

[0081] Cluster each clustering coordinate separately. Specifically, take each clustering coordinate point as the center of the circle and select the coordinate points within the range with E as the radius. The coordinate points within this range are also used as clustering coordinate points.

[0082] After multi-level clustering of the clustering coordinate points, all the obtained clustering coordinate points are the coordinate points in the sample coordinates that can be clustered, and they form a clustering coordinate set.

[0083] Performing multi-level clustering on the clustering coordinate points means that the new clustering coordinate points obtained after clustering the obtained clustering coordinate points are also clustered in turn until no new clustering coordinate points appear.

[0084] Step D105: The prediction unit selects, from the clustering coordinate set, the coordinate points corresponding to the maximum time T and the minimum time T required for defluorination of the initial fluorine concentration C1 to the target concentration C0, as the target clustering coordinate points. Then, according to the time T required for defluorination of the initial fluorine concentration C1 corresponding to the target clustering coordinate points to the target concentration C0, the time T corresponding to the current initial concentration range is calculated, that is, the time T required for defluorination of the initial fluorine concentration C1 corresponding to the current initial concentration range to the target concentration C0 is calculated. max and the minimum time T min corresponding coordinate points, as the target clustering coordinate points. Then, according to the time T required for defluorination of the initial fluorine concentration C1 corresponding to the target clustering coordinate points to the target concentration C0, the time T corresponding to the current initial concentration range is calculated 目标 , that is, the time T required for defluorination of the initial fluorine concentration C1 corresponding to the current initial concentration range to the target concentration C0 is calculated 目标 .

[0085] In the step D105, the time T corresponding to the current initial concentration range 目标 can be the average value of T max and T min .

[0086] A defluorinated sludge decentralized reuse system further includes a flow monitoring unit provided at the inlet of the fluorine-containing sewage of the sewage treatment unit, and the flow monitoring unit is used to monitor the amount of fluorine-containing sewage entering the sewage treatment unit during a defluorination treatment period.

[0087] The decentralized distribution unit of the central processor stores key data, and the key data includes the maximum dispersion rate of each colloid mill ultrasonic dispersion unit, that is, the amount of fluorine-containing sludge that the colloid mill ultrasonic dispersion unit can disperse per unit time. The key data includes the distance between each sewage treatment unit and each colloid mill ultrasonic dispersion unit.

[0088] The decentralized distribution unit of the central processor determines the activation scheme of the colloid mill ultrasonic dispersion unit according to the working conditions of each colloid mill ultrasonic dispersion unit, including the following steps

[0089] Step A2: The decentralized distribution unit of the central processor selects the target sewage treatment unit according to the time T required for defluorination of the initial fluorine concentration C1 corresponding to the current initial concentration range of each sewage treatment unit to the target concentration C0, and determines the time for the target sewage treatment unit to discharge the fluorine-containing sludge. The target sewage treatment unit is the sewage treatment unit that needs to discharge the fluorine-containing sludge first. 目标 In the step A2, specifically, the decentralized distribution unit of the central processor can arrange, according to the time T required for defluorination of the initial fluorine concentration C1 corresponding to the current initial concentration range of each sewage treatment unit to the target concentration C0, in ascending order of the corresponding time T of each sewage treatment unit. The distribution unit selects the minimum time T

[0090] In the step A2, specifically, the decentralized distribution unit of the central processor can arrange, according to the time T required for defluorination of the initial fluorine concentration C1 corresponding to the current initial concentration range of each sewage treatment unit to the target concentration C0, in ascending order of the corresponding time T of each sewage treatment unit. The distribution unit selects the minimum time T 目标 corresponding to each sewage treatment unit. The distribution unit selects the minimum time T 目标 corresponding to each sewage treatment unit. The distribution unit selects the minimum time T 目标The corresponding sewage treatment unit, and at this time, this sewage treatment unit is the sewage treatment unit that needs to discharge fluorine-containing sludge first.

[0091] Step B2, the dispersion distribution unit selects, among multiple colloid mill ultrasonic dispersion units, the colloid mill ultrasonic dispersion units that are in a non-working state from the time when the target sewage treatment unit discharges fluorine-containing sludge to the time delayed by the first time threshold. The first time threshold is a preset value.

[0092] Step C2, the dispersion distribution unit selects the colloid mill ultrasonic dispersion unit corresponding to the target sewage treatment unit according to the distance between the target sewage treatment unit and each non-working colloid mill ultrasonic dispersion unit, to obtain the target colloid mill ultrasonic dispersion unit. The colloid mill ultrasonic dispersion unit corresponding to the target sewage treatment unit selected by the dispersion distribution unit is the non-working colloid mill ultrasonic dispersion unit with the shortest distance from the target sewage treatment unit.

[0093] Step D2, the dispersion distribution unit determines the enabling scheme of the colloid mill ultrasonic dispersion unit according to the time when the target sewage treatment unit discharges fluorine-containing sludge and the time when the target colloid mill ultrasonic dispersion unit is in a non-working state (i.e., the time when the target colloid mill ultrasonic dispersion unit completes the dispersion task of the fluorine-containing sludge discharged from the previous target sewage treatment unit). The enabling scheme includes the actual discharge time of the fluorine-containing sludge of the target sewage treatment unit and the enabling time of the target colloid mill ultrasonic dispersion unit corresponding to the target sewage treatment unit.

[0094] When determining the enabling scheme, the dispersion distribution unit selects the later time among the time when the target sewage treatment unit discharges fluorine-containing sludge and the time when the target colloid mill ultrasonic dispersion unit is in a non-working state as the actual discharge time of the fluorine-containing sludge and the enabling time of the target colloid mill ultrasonic dispersion unit corresponding to the target sewage treatment unit.

[0095] Step E2, the dispersion distribution unit calculates the fluorine-containing sludge generation amount D of the target sewage treatment unit and the time for the target colloid mill ultrasonic dispersion unit to complete this dispersion task.

[0096] In the step E2, according to the initial fluorine concentration C1 monitored by the first fluorine monitoring unit of the target sewage treatment unit, the fluorine-containing sewage volume monitored by the flow monitoring unit of the target sewage treatment unit, and the target concentration C0, the fluorine-containing sludge generation amount D of the target sewage treatment unit is calculated. According to the fluorine-containing sludge generation amount D of the target sewage treatment unit, the enabling time of the target colloid mill ultrasonic dispersion unit corresponding to the target sewage treatment unit, and the maximum dispersion rate of each colloid mill ultrasonic dispersion unit, the time for the target colloid mill ultrasonic dispersion unit to complete this dispersion task is determined.

[0097] The central processor generates the dispersion command according to the enabling scheme of the colloid mill ultrasonic dispersion unit, and the sewage treatment unit discharges the fluorine-containing sludge according to the dispersion command. The colloid mill ultrasonic dispersion unit is started according to the dispersion command.

[0098] A fluorine-containing sludge dispersion and reuse system realizes the dispersion and reuse of fluorine-containing sludge generated when multiple sewage treatment units simultaneously remove fluorine from sewage. Moreover, by predicting the time required for each sewage treatment unit to remove fluorine from the real-time concentration to the target concentration, selecting the target colloid mill ultrasonic dispersion unit, and determining the enabling scheme, the sludge discharged from the sewage treatment unit is dispersed. This not only maximally improves the utilization rate of the colloid mill ultrasonic dispersion unit, but also reduces the conveying distance of the fluorine-containing sludge to be dispersed, and to a certain extent avoids the blockage of the dispersion and reuse system.

[0099] The above content is an illustration of the preferred embodiments of the present invention, which can help those skilled in the art to more fully understand the technical solutions of the present invention. However, these embodiments are merely examples and cannot be considered that the specific implementation manners of the present invention are limited to the descriptions of these embodiments. For those of ordinary skill in the technical field to which the present invention belongs, without departing from the concept of the present invention, several simple deductions and transformations can be made, which should all be regarded as belonging to the protection scope of the present invention.

Claims

1. A defluorination sludge dispersion and reuse system, used in a fluorine-containing sewage treatment system including multiple sewage treatment units, characterized in that: It includes a fluorine monitoring unit for detecting the fluorine content in the water to be treated, a plurality of rubber mill ultrasonic dispersion units for dispersing fluorine-containing sludge, and a central processor for predicting the output of fluorine-containing sludge and allocating the corresponding rubber mill ultrasonic dispersion units. Each rubber mill ultrasonic dispersion unit comprises a rubber mill device and an ultrasonic generator, wherein the rubber mill device performs rubber milling dispersion on the added fluorine-containing sludge, and the ultrasonic generator generates ultrasonic waves to ultrasonically disperse the added fluorine-containing sludge; The central processor comprises a prediction unit, a distribution unit and a data collection unit. The prediction unit uses a density clustering method to predict the time T required for defluorination from the real-time concentration C2 in each sewage treatment unit to the target concentration C0 according to the monitoring data of the fluorine monitoring unit; the distribution unit determines the activation scheme of the rubber mill ultrasonic dispersion unit according to the working conditions of each rubber mill ultrasonic dispersion unit; the data collection unit organizes and marks the monitoring data of the fluorine monitoring unit to obtain collected data; The prediction unit of the central processor uses density clustering method to predict the time T required for defluorination from the real-time concentration C2 to the target concentration C0 in each sewage treatment unit according to the monitoring data of the fluorine monitoring unit, including the following steps: Step A1, the prediction unit determines the time T required for defluorination from different initial fluorine concentrations C1 to the target concentration C0 based on the collected data, and obtains a sample data set; Step B1, the prediction unit divides the initial fluorine concentration C1 into multiple initial concentration intervals using a rounding-up method according to the time T required for defluorination from different initial fluorine concentrations C1 to the target concentration C0; Step C1, the prediction unit selects the initial concentration interval to which the current real-time concentration C2 belongs, and obtains the current initial concentration interval; Step D1: The prediction unit uses density clustering method to determine the time T corresponding to the current initial concentration interval 目标 ; In the step B1, the initial fluorine concentration C1 is divided into a plurality of initial concentration intervals by using the approach of rounding up. The specific implementation process is as follows: Set the gather value G; Taking the time T required for the target concentration C0 as the starting point, the time T required for defluorination to the target concentration C0 is increased gradually to the value G; After the time T required for fluorine removal to the target concentration C0 is increased by the value G in sequence, multiple new times T are obtained, and each initial fluorine concentration C1 corresponding to each new time T in the sample data set is the endpoint value of the initial concentration interval, thereby obtaining multiple consecutive initial concentration intervals; The rounded-up value is the maximum difference in the time T required for the same initial fluorine concentration C1 to be defluorinated to the target concentration C0 in the sample data set; In step D1, the prediction unit uses density clustering method to determine the time T corresponding to the current initial concentration interval. 目标 The specific implementation process is: Step D101, the prediction unit selects all sample data corresponding to the current initial concentration interval in the sample data set according to the current initial concentration interval, and all sample data corresponding to the current initial concentration interval constitute a target sample data set; Step D102, the prediction unit marks the sample data in the target sample data set in the concentration-temperature coordinates to obtain the sample coordinates; Step D103, the prediction unit selects core samples according to all the time T in the target sample data set, and sets a constant E as the clustering radius; Step D104, the prediction unit uses the core sample in the sample coordinates as the starting point and E as the clustering radius to cluster the coordinate points in the sample coordinates, and the clustered coordinate points in the sample coordinates form a clustering coordinate set; Step D105: The prediction unit selects the maximum time T required to remove fluorine from the initial fluorine concentration C1 to the target concentration C0 in the cluster coordinate set. max and minimum time T min The corresponding coordinate point is used as the target cluster coordinate point; then, according to the time T required for the initial fluorine concentration C1 corresponding to the target cluster coordinate point to remove fluorine to the target concentration C0, the time T corresponding to the current initial concentration interval is calculated. 目标 ; The step D103 of selecting a core sample specifically involves sorting all sample data in the target sample data set according to time T, and selecting the median sample data as the core sample; The dispersion allocation unit of the central processor determines the activation scheme of the rubber mill ultrasonic dispersion unit according to the working conditions of each rubber mill ultrasonic dispersion unit, including the following steps: Step A2: the decentralized distribution unit of the central processor calculates the time T required for defluorination to the target concentration C0 according to the initial fluorine concentration C1 corresponding to the current initial concentration interval of each sewage treatment unit. 目标 , select the target sewage treatment unit and determine the time for the target sewage treatment unit to discharge fluoride-containing sludge; Step B2, the dispersing and allocating unit selects, from among the multiple rubber mill ultrasonic dispersing units, a rubber mill ultrasonic dispersing unit that is in a non-working state and is within a first time threshold after the time when the target sewage treatment unit discharges the fluorine-containing sludge; Step C2, the dispersing and allocating unit selects the rubber mill ultrasonic dispersing unit corresponding to the target sewage treatment unit according to the distance between the target sewage treatment unit and each rubber mill ultrasonic dispersing unit in a non-working state, so as to obtain the target rubber mill ultrasonic dispersing unit; Step D2, the dispersing and allocating unit determines the activation scheme of the rubber mill ultrasonic dispersing unit according to the time when the target sewage treatment unit discharges the fluorine-containing sludge and the time when the target rubber mill ultrasonic dispersing unit is in a non-working state.

2. According to claim 1, a defluorination sludge dispersion and reuse system is characterized in that: The step D102 also includes constructing a concentration-temperature coordinate. The specific construction process is that the prediction unit establishes a plane rectangular coordinate system and determines the meaning of the X axis and the Y axis in the plane rectangular coordinate system.

3. According to claim 1, a defluorination sludge dispersion and reuse system is characterized in that: In the step D104, specifically including: In the sample coordinates, the core sample is selected as the starting point, and the constant E is used as the coordinate point within the radius. The coordinate points within the radius are used as clustering coordinate points. This process is called clustering. Cluster each cluster coordinate separately, that is, take each cluster coordinate point as the center of the circle, select E as the coordinate point within the radius, and the coordinate points within the radius are also used as cluster coordinate points; After multi-level clustering of the cluster coordinate points, all the cluster coordinate points obtained are the clustered coordinate points in the sample coordinates, which constitute the cluster coordinate set.

4. According to claim 1, a defluorination sludge dispersion and reuse system is characterized in that: The dispersion allocation unit of the central processor determines the activation plan of the rubber mill ultrasonic dispersion unit according to the working conditions of each rubber mill ultrasonic dispersion unit, and also includes step E2, the dispersion allocation unit calculates the fluorine-containing sludge generation amount D of the target sewage treatment unit and the time for the target rubber mill ultrasonic dispersion unit to complete this dispersion task.

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