Defluorination sludge dispersing and recycling system

Abstract

A defluorination sludge dispersing and recycling system comprises a fluorine monitoring unit for detecting the content of fluorine in a water body to be treated, a plurality of colloid milling ultrasonic dispersing units for dispersing fluorine-containing sludge, and a central processor for outputting and predicting the fluorine-containing sludge and distributing the corresponding colloid milling ultrasonic dispersing units, the central processor comprises a prediction unit, a decentralized distribution unit and a data collection unit, and the prediction unit predicts the time T required for removing fluorine from the real-time concentration C2 to the target concentration C0 in each sewage treatment unit by adopting a density clustering method according to the monitoring data of the fluorine monitoring unit; the dispersion and distribution unit determines a starting scheme of the colloid mill ultrasonic dispersion unit according to the working condition of each colloid mill ultrasonic dispersion unit; and the data collection unit arranges and marks the monitoring data of the fluorine monitoring unit to obtain collected data. According to the invention, when a plurality of sewage treatment units carry out sewage fluorine removal at the same time, the produced fluorine-containing sludge is dispersed and recycled.

Description

Technical Field

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

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

[0003] Fluoride removal sludge reduction refers to a technical solution to reduce the original sludge volume. On the one hand, sludge reduction can reduce pollution to the environment, and on the other hand, it can also solve the cost and problem of sludge treatment in sewage treatment plants. In modern sewage treatment, sludge treatment costs account for a considerable proportion, so sludge reduction can reduce costs and promote sustainable development.

[0004] For example, in the deep defluorination process of aluminum salt coagulation, after aluminum salt is added to the water, it can be removed by Al n With F - The complexation, intermediate products of aluminum salt hydrolysis and the subsequent amorphous Al(oH), flocculent - Remove F from water through ion exchange, adsorption and sweeping - When 1mg / L fluoride ions are removed, the dosage of aluminum ion flocculant is above 20mg / L, which means that aluminum ions consumed by aluminum ions and fluoride ions in chemical reaction to generate aluminum fluoride account for 5%, and most of the aluminum salts are precipitated to form sludge. At the same time, due to the addition of PAM (polyacrylamide, polymer coagulant) 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 fluoride-free sludge, directly recycling fluoride-containing sludge is not only extremely important for reducing the amount of fluoride-containing sludge, but also reduces the amount of defluoridation agent. However, in the existing technology, it is not possible to release the effective aluminum ions in the fluoride-containing sludge efficiently and harmlessly.

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

[0007] (I) Purpose of the invention: In order to solve the problems existing in the above-mentioned prior art, the purpose of the present invention is to provide a defluorination sludge dispersion and reuse system.

[0008] (II) Technical solution: In order to solve the above technical problems, the present technical solution provides a fluorine removal sludge dispersion and reuse system, which is used in a fluorine-containing wastewater treatment system including multiple wastewater treatment units, including a fluorine monitoring unit for detecting the fluorine content in the water to be treated, multiple rubber 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 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 includes a prediction unit, a decentralized allocation 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 based on the monitoring data of the fluorine monitoring unit; the decentralized allocation unit determines the activation plan of the rubber mill ultrasonic dispersion unit based on 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.

[0009] 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 .

[0010] Wherein, 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, and 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. 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 adjacent initial concentration intervals.

[0011] The rounded-up value is 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.

[0012] 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 .

[0013] Wherein, 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.

[0014] 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.

[0015] Wherein, 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.

[0016] The dispersion allocation unit of the central processor determines the activation scheme of the rubber mill ultrasonic dispersion unit according to the working condition 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.

[0017] The dispersion allocation unit of the central processor determines the activation scheme of the rubber mill ultrasonic dispersion unit according to the working condition of each rubber mill ultrasonic dispersion unit, and also includes step E2, in which 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 the dispersion task.

[0018] (III) Beneficial effects: The present invention provides a defluorination sludge dispersion and reuse system, which realizes the dispersion and reuse of fluorine-containing sludge produced when multiple sewage treatment units simultaneously carry out sewage defluorination, and improves the utilization rate of the rubber mill ultrasonic dispersion unit and reduces the transportation distance of the fluorine-containing sludge to be dispersed. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1It is a schematic diagram of the steps of predicting the time T required for defluorination from the real-time concentration C2 to the target concentration C0 in each sewage treatment unit in a defluorination sludge dispersed reuse system of the present invention; Figure 2 The prediction unit in the defluorination sludge dispersion reuse system of the present invention uses density clustering method to determine the time T corresponding to the current initial concentration interval 目标 Schematic diagram of the steps. DETAILED DESCRIPTION

[0020] The present invention is further described in detail below in conjunction with preferred embodiments. More details are elaborated in the following description to facilitate a full understanding of the present invention. However, the present invention can obviously be implemented in a variety of other ways different from the description. Those skilled in the art can make similar generalizations and deductions based on actual application situations without violating 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.

[0021] The accompanying drawings are schematic diagrams of embodiments of the present invention. It should be noted that the drawings are only examples and are not drawn to scale, and should not be used to limit the actual protection scope of the present invention.

[0022] A defluorination sludge dispersion and recycling system is used for a fluorine-containing sewage treatment system including a plurality of sewage treatment units. In the fluorine-containing sewage treatment system, the plurality of sewage treatment units treat the fluorine-containing sewage respectively, thereby increasing the treatment capacity of the fluorine-containing sewage.

[0023] A fluorine removal sludge dispersion and reuse system includes a fluorine monitoring unit for detecting the fluorine content in a water body to be treated, a plurality of rubber 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 rubber mill ultrasonic dispersion units.

[0024] The fluorine monitoring unit and the rubber mill ultrasonic dispersion unit are connected to the central processor respectively. The central processor receives the monitoring data of the fluorine monitoring unit, including the initial concentration of fluorine content in the wastewater to be treated and the real-time concentration of fluorine content in the wastewater. The central processor sends a dispersion command to the rubber mill ultrasonic dispersion unit, and the dispersion command includes the rubber mill ultrasonic dispersion unit corresponding to the current sewage treatment unit, the time when the current sewage treatment unit discharges fluorine-containing sludge, and the rubber mill start / stop, ultrasonic dispersion start / stop, ultrasonic dispersion frequency, etc. of the corresponding rubber mill ultrasonic dispersion unit.

[0025] 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 water inlet of the fluorine-containing sewage of the fluorine sewage treatment system, and is used to monitor the initial concentration of the 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 to monitor the real-time concentration of the fluorine content in the sewage undergoing defluorination. The number of 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 averages the monitoring data of the N second fluorine monitoring units in the same sewage treatment unit at the same time, and uses it as the real-time concentration C2 at that time.

[0026] In the fluorine wastewater treatment system, each wastewater treatment unit is provided with a sludge discharge device, and the discharge port of the sludge discharge device is connected to the rubber mill ultrasonic dispersion unit. The discharge port of the sludge discharge device of each wastewater treatment unit is connected to each rubber mill ultrasonic dispersion unit. The fluorine-containing sludge discharged from each wastewater treatment unit is input into the corresponding rubber mill ultrasonic dispersion unit according to the dispersion command of the central processor. After the rubber mill ultrasonic dispersion unit disperses the input fluorine-containing sludge, it is added to the designated wastewater treatment unit as a reuse defluorination agent.

[0027] Each of the rubber mill ultrasonic dispersion units includes a rubber mill device and an ultrasonic generator. 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 ultrasonic generator can perform ultrasonic vibration on the fluorine-containing sludge during the rubber milling process to accelerate the dispersion of the fluorine-containing sludge, and can also perform ultrasonic vibration on the fluorine-containing sludge after the rubber milling dispersion is completed to further disperse the fluorine-containing sludge dispersed by the rubber milling. The rubber mill device includes a cooling structure for reducing the temperature of the rubber mill ultrasonic dispersion unit during operation.

[0028] The central processor includes 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 to the target concentration C0 in each sewage treatment unit based on the monitoring data of the fluorine monitoring unit. The distribution unit determines the activation plan of the rubber mill ultrasonic dispersion unit based on 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 collected data includes the fluorine content concentration monitored by the fluorine monitoring unit, the corresponding fluorine monitoring unit, and the monitoring time, etc.

[0029] It should be noted that in the fluorine wastewater treatment system, the fluorine concentration of the treated fluorine-containing wastewater is generally greater than 10 mg / L-30 mg / L, and its minimum fluorine concentration, that is, the value of the target concentration C0, depends on the applicable emission standard: When the discharge standard is the primary standard, in the fluorine wastewater treatment system, the fluorine concentration of the treated fluorine-containing wastewater is greater than 10 mg / L, that is, the target concentration C0 = 10 mg / L; When the discharge standard is the secondary standard, in the fluorine wastewater treatment system, the fluorine concentration of the treated fluorine-containing wastewater is greater than 20 mg / L, that is, the target concentration C0 = 20 mg / L; When the discharge standard is the third-level standard, in the fluorine wastewater treatment system, the fluorine concentration of the treated fluorine-containing wastewater is greater than 30 mg / L, that is, the target concentration C0=30 mg / L.

[0030] The prediction unit of the central processor includes an initial sample data set, which includes different initial fluorine concentrations C1, and the time T required for unit fluorine-containing wastewater with different initial fluorine concentrations C1 (i.e., the time required to remove fluorine from 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 sample.

[0031] The time T required for the real-time concentration C2 to be defluorinated to the target concentration C0 may also be referred to as time T in the following content.

[0032] like Figure 1 As shown, 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 .

[0033] In the step A1, the prediction unit calculates the time T required to remove fluorine from different initial fluorine concentrations C1 to the target concentration C0 according to the fluorine content concentration and monitoring time in the collected data.

[0034] When the sample data set cannot meet the sample requirement, the initial sample data set is combined with the sample data set obtained by the prediction unit as the current sample data set to meet the sample requirement. The sample data set includes different sample data, and the sample data includes at least the initial fluorine concentration C1 and the time T required for the initial fluorine concentration C1 to be defluorinated to the target concentration C0, and the time T required for each initial fluorine concentration C1 to be defluorinated to the target concentration C0 is associated with its matching initial concentration C1.

[0035] The real-time concentration detected by the second fluorine monitoring unit at the previous moment 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, thereby increasing the number of sample data in the sample data set.

[0036] 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: A rounding value G is set. The rounding value may be the maximum difference in time T required for defluorination to target concentration C0 at the same initial fluorine concentration C1 in the sample data set. The rounding value may be input or modified through the input unit of the central processor. The rounding value inputted the most times may be selected as the current rounding value based on the input record of the input unit. The median of the rounding values ​​inputted in the input record of the input unit may also be selected. No specific limitation is made here.

[0037] 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 by the value G in sequence.

[0038] 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 adjacent initial concentration intervals in sequence. When each new time T corresponds to each initial fluorine concentration C1 in the sample data set, when the time T corresponds to multiple initial fluorine concentrations C1, the initial concentration C1 corresponding to the time T with the most occurrences is selected as the initial fluorine concentration C1 corresponding to the time T.

[0039] For example, when the initial concentration C1 is defluorinated to the target concentration C0, the time T required to defluorinate to the target concentration C0 is t1. When the time T required for the target concentration C0 is taken as the starting point, t1=0. Increase t1 by the round-up value G to obtain the time 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, initial fluorine concentration C1 corresponding to t1+G], (initial fluorine concentration C1 corresponding to t1+G, initial fluorine concentration C1 corresponding to t1+2*G], (initial fluorine concentration C1 corresponding to t1+2*G, initial fluorine concentration C1 corresponding to t1+3*G]... (initial fluorine concentration C1 corresponding to t1+(n-1)*G, 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 fluorine concentration in the water body to be treated.

[0040] In the step C1, the prediction unit selects an initial concentration interval including the current real-time concentration C2 from among a plurality of initial concentration intervals as a pre-initial concentration interval.

[0041] like Figure 2 As shown, in step D1, the prediction unit uses density clustering method to determine the time T corresponding to the current initial concentration interval. The specific implementation process is: In 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.

[0042] In step D102, the prediction unit marks the sample data in the target sample data set in the concentration-temperature coordinates to obtain sample coordinates. The sample coordinates include the concentration-temperature coordinates and the coordinate points of the sample data in the target sample data set in the concentration-temperature coordinates.

[0043] 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. 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 range; the Y-axis represents the time T required to remove fluorine from the initial fluorine concentration C1 to the target concentration C0.

[0044] In step D103, the prediction unit selects core samples according to all the times T in the target sample data set, and sets a constant E as a clustering radius.

[0045] The core sample is selected in step D103, specifically, all sample data in the target sample data set are sorted according to time T, either from large to small or from small to large, and no specific limitation is made here. In the target sample data set sorted according to 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 data set sorted according to time T.

[0046] The prediction unit may set a specific value of the constant E according to the value input by the input unit.

[0047] In step D104, the prediction unit clusters the coordinate points in the sample coordinates using the core sample in the sample coordinates as the starting point and E as the clustering radius. The coordinate points in the sample coordinates that can be clustered form a clustering coordinate set.

[0048] In step D104, clustering the coordinate points in the sample coordinates specifically includes: 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 range are used as clustering coordinate points. This process is called clustering.

[0049] Each clustering coordinate is clustered separately. Specifically, each clustering coordinate point is used as the center of a circle, and coordinate points within a radius range with E as the radius are selected. The coordinate points within the radius are also used as clustering coordinate points.

[0050] After multi-level clustering of the cluster coordinate points, all the cluster coordinate points obtained are the coordinate points in the sample coordinates that can be clustered, which constitute the cluster coordinate set.

[0051] Multi-level clustering of cluster coordinate points means that new cluster coordinate points obtained after clustering the obtained cluster coordinate points are clustered in turn until no new cluster coordinate points appear.

[0052] 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 to remove fluorine from the initial fluorine concentration C1 corresponding to the target cluster coordinate point to the target concentration C0, the time T corresponding to the current initial concentration interval is calculated. 目标 , that is, calculate the time T required to remove fluorine from the initial fluorine concentration C1 corresponding to the current initial concentration range to the target concentration C0 目标 .

[0053] In step D105, the time T corresponding to the current initial concentration interval 目标, can be T max and T min The average value of .

[0054] A defluorination sludge dispersion and reuse system also includes a flow monitoring unit arranged at the fluorine-containing sewage inlet 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.

[0055] The central processor's dispersion distribution unit stores key data, including the maximum dispersion rate of each rubber mill ultrasonic dispersion unit, that is, the amount of fluorine-containing sludge that can be dispersed by the rubber mill ultrasonic dispersion unit per unit time, and the distance between each sewage treatment unit and each rubber mill ultrasonic dispersion unit.

[0056] 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 a target sewage treatment unit, and determine the time for the target sewage treatment unit to discharge fluorine-containing sludge. The target sewage treatment unit is the sewage treatment unit that needs to discharge fluorine-containing sludge first.

[0057] In the step A2, the decentralized distribution unit of the central processor may specifically include 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 , according to the time T corresponding to each sewage treatment unit 目标 The distributed allocation unit selects the minimum time T 目标 The corresponding sewage treatment unit, at this time, is the sewage treatment unit that needs to discharge fluorine-containing sludge first.

[0058] Step B2, the dispersing and allocating unit selects a non-operating rubber mill ultrasonic dispersing unit from among the multiple rubber mill ultrasonic dispersing units, which is within a first time threshold after the time when the target sewage treatment unit discharges the fluorine-containing sludge. The first time threshold is a preset value.

[0059] 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, to obtain the target rubber mill ultrasonic dispersing unit. The rubber mill ultrasonic dispersing unit corresponding to the target sewage treatment unit selected by the dispersing and allocating unit is the rubber mill ultrasonic dispersing unit in a non-working state that has the shortest distance to the target sewage treatment unit.

[0060] 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 (i.e., the time when the target rubber mill ultrasonic dispersing unit completes the task of dispersing the fluorine-containing sludge discharged by the previous target sewage treatment unit). The activation scheme includes the actual discharge time of the fluorine-containing sludge of the target sewage treatment unit and the activation time of the target rubber mill ultrasonic dispersing unit corresponding to the target sewage treatment unit.

[0061] When determining the activation plan, the dispersed distribution unit selects the later time between the time when the target sewage treatment unit discharges the fluorine-containing sludge and the time when the target rubber mill ultrasonic dispersion unit is in a non-working state as the actual discharge time of the fluorine-containing sludge and the activation time of the target sewage treatment unit corresponding to the target rubber mill ultrasonic dispersion unit.

[0062] Step E2, 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 rubber mill ultrasonic dispersion unit to complete the dispersion task.

[0063] In step E2, the fluorine-containing sludge generation amount D of the target sewage treatment unit is calculated according to the initial fluorine concentration C1 monitored by the first fluorine monitoring unit of the target sewage treatment unit, the amount of fluorine-containing sewage monitored by the flow monitoring unit of the target sewage treatment unit, and the target concentration C0. The time for the target rubber mill ultrasonic dispersing unit to complete the dispersion task is determined according to the fluorine-containing sludge generation amount D of the target sewage treatment unit, the activation time of the target rubber mill ultrasonic dispersing unit corresponding to the target sewage treatment unit, and the maximum dispersion rate of each rubber mill ultrasonic dispersing unit.

[0064] The central processor generates the dispersion command according to the activation scheme of the rubber mill ultrasonic dispersion unit, and the sewage treatment unit discharges the fluorine-containing sludge according to the dispersion command. The rubber mill ultrasonic dispersion unit is started according to the dispersion command.

[0065] A defluorination sludge dispersion and reuse system realizes the dispersion and reuse of fluorine-containing sludge generated when multiple sewage treatment units simultaneously perform sewage defluorination. In addition, by predicting the time required for defluorination from the real-time concentration to the target concentration in each sewage treatment unit, the target rubber mill ultrasonic dispersion unit is selected, and after determining the activation plan, the sludge discharged from the sewage treatment unit is dispersed, which not only maximizes the utilization rate of the rubber mill ultrasonic dispersion unit, but also reduces the transportation distance of the fluorine-containing sludge to be dispersed, and avoids the blockage of the dispersion and reuse system to a certain extent.

[0066] The above content is an explanation of the preferred embodiments of the present invention, which can help those skilled in the art to more fully understand the technical solution of the present invention. However, these embodiments are merely illustrative, and it cannot be determined that the specific implementation methods of the present invention are limited to the description of these embodiments. For ordinary technicians 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 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 includes a prediction unit, a decentralized allocation 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 based on the monitoring data of the fluorine monitoring unit; the decentralized allocation unit determines the activation plan of the rubber mill ultrasonic dispersion unit based on 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.

2. According to claim 1, a defluorination sludge dispersion and reuse system is characterized in that: 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 .

3. According to claim 2, a defluorination sludge dispersion and reuse system is characterized in that: 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. 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 adjacent initial concentration intervals.

4. A defluorination sludge dispersion and reuse system according to claim 3, characterized in that: The rounded-up value is the maximum difference in the time T required for defluorination to the target concentration C0 at the same initial fluorine concentration C1 in the sample data set.

5. According to claim 2, a defluorination sludge dispersion and reuse system is characterized in that: 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 .

6. A defluorination sludge dispersion and reuse system according to claim 5, 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.

7. A defluorination sludge dispersion and reuse system according to claim 5, characterized in that: The core sample is selected in step D103, specifically, all sample data in the target sample data set are sorted according to time T, and the median sample data is selected as the core sample.

8. A defluorination sludge dispersion and reuse system according to claim 5, 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.

9. The defluorination sludge dispersion and reuse system according to claim 1, characterized in that: 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.

10. A defluorination sludge dispersion and reuse system according to claim 9, 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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