Plastic regenerated particle cleaning sewage treatment method and device

Abstract

The invention relates to the technical field of sewage treatment, in particular to a plastic regeneration particle cleaning sewage treatment method and device.The method comprises the steps that the bubble volume stability of air-dissolved water is obtained through ray intensity data, and the floccule movement disorder of a target ultrasonic sensor at each detection moment is determined in combination with ultrasonic data; according to the flocculent response time interval of the flocculent detection moment when the adjacent ultrasonic sensor detects the floccules for the first time, the bubble horizontal diffusion obstruction of the target ultrasonic sensor is determined; determining the bubble volume damage rate of the target ultrasonic sensor at each flocculent detection moment according to the movement disorder of the floccules and the horizontal diffusion obstruction of the bubbles; the ultrasonic intensity rising obstruction is obtained by utilizing the ultrasonic data, and the scum layer formation stability of the target ultrasonic sensor is determined by combining the bubble volume damage rate; the scum layer is used for forming stability to adjust the diameter of bubbles in the air-dissolved water. According to the technical scheme, the sewage treatment effect and the sewage purification efficiency are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of sewage treatment, and in particular to a method and device for treating sewage from washing recycled plastic particles. Background Art

[0002] When waste plastics are recycled, they are usually attached with a lot of dirt (such as oil stains, mud, labels, etc.). Cutting the recycled waste plastics into particles can significantly increase the surface area, making it easier for water or cleaning agents to contact and remove the dirt. However, the wastewater generated by cleaning waste plastics is polluted itself and cannot be directly discharged into the natural environment. Therefore, the wastewater from cleaning waste plastics needs to be treated. Existing technologies usually use dissolved air water (water containing tiny bubbles) generated by flotation technology to adsorb pollutants in wastewater; and it will produce wastewater with different pollution contents according to the actual pollution situation, and control the dissolved air water device to generate bubbles within the corresponding diameter range to produce dissolved air water, thereby treating the wastewater.

[0003] When the dissolved air water produced by the dissolved air water device flows out of the device and into the flotation tank (the area where the scum layer is formed) through the waterway, the ambient pressure will change dramatically (because the horizontal flow rate of the flotation tank and the dissolved air water is significantly different, and the water state is also quite different). This makes the tiny bubbles in the dissolved air water prone to aggregation, fragmentation, and merger, affecting the subsequent formation of the scum layer. Different bubble diameters have different degrees of aggregation, fragmentation, and merger. The existing technology is unable to select a more suitable bubble diameter within the corresponding diameter range based on the above situation for production, resulting in low wastewater purification efficiency and unsatisfactory purification effect after washing waste plastics. Summary of the Invention

[0004] In order to solve the technical problem that the existing sewage treatment technology is difficult to determine the bubble diameter of the required dissolved air water, resulting in low sewage purification efficiency and unsatisfactory purification effect after washing waste plastics, the purpose of the present invention is to provide a method and device for treating sewage from washing plastic recycled particles. The technical solution adopted is as follows:

[0005] The present invention provides a method for treating wastewater from washing recycled plastic particles, the method comprising:

[0006] Obtaining the intensity data of laser diffraction of dissolved air water in the water channel and the ultrasonic data of the scum layer detected by the ultrasonic sensor in the flotation tank;

[0007] The stability of the bubble volume of dissolved air water is obtained using the ray intensity data, and the turbulence of flocculent motion at each detection moment of the target ultrasonic sensor is determined in combination with the ultrasonic data.

[0008] determining the bubble horizontal diffusion resistance of the target ultrasonic sensor according to the flocculent response time interval at the flocculent detection moment when the adjacent ultrasonic sensor first detects the flocculent;

[0009] According to the disorder of floc movement and the horizontal diffusion resistance of bubbles, the bubble volume destruction rate of the target ultrasonic sensor at each floc detection moment is determined;

[0010] Ultrasonic data is used to obtain the resistance to ultrasonic intensity increase, and the stability of the scum layer formation of the target ultrasonic sensor is determined in combination with the bubble volume destruction rate. The scum layer formation stability is used to adjust the bubble diameter in the dissolved air water.

[0011] Furthermore, the method of obtaining the bubble volume stability of dissolved air water using the radiation intensity data includes:

[0012] The time corresponding to the target ray intensity greater than the preset intensity threshold in the ray intensity data of the target diffraction angle area in the waterway is taken as the diffraction time;

[0013] The volume stability of the bubbles in the dissolved air water is determined by using the diffraction moment and the target ray intensity corresponding to the diffraction moment.

[0014] Furthermore, the method of determining the bubble volume stability of the dissolved air water by using the diffraction moment and the target ray intensity corresponding to the diffraction moment includes:

[0015] The diffraction direction regularity of dissolved air water is calculated using the total number of diffraction moments and the number of undiffracted moments between adjacent diffraction moments.

[0016] The diffraction intensity regularity of dissolved air water is calculated using the target ray intensities corresponding to adjacent diffraction moments.

[0017] The bubble volume stability of the dissolved air water is calculated by utilizing the diffraction direction regularity and the diffraction intensity regularity of the dissolved air water.

[0018] Furthermore, the method of using the ray intensity data to obtain the bubble volume stability of the dissolved air water and combining the ultrasonic data to determine the floc movement disorder at each detection moment of the target ultrasonic sensor includes:

[0019] Determine the straight-line distance between the target ultrasonic sensor and the waterway outlet, and determine the standard deviation of the ultrasonic data of the target ultrasonic sensor before each detection moment;

[0020] The flocculent motion disorder at each detection moment of the target ultrasonic sensor is calculated using the bubble volume stability, the straight-line distance, and the standard deviation.

[0021] Furthermore, the determining of the bubble horizontal diffusion barrier of the target ultrasonic sensor according to the flocculent response time interval at the flocculent detection moment when the adjacent ultrasonic sensor first detects the flocculent includes:

[0022] Determining ultrasonic data greater than a preset first ultrasonic intensity threshold in the ultrasonic data as flocculent reflection data, and determining a time corresponding to the flocculent reflection data as a flocculent detection time;

[0023] determining a preset number of reference ultrasonic sensors adjacent to the target ultrasonic sensor and closer to the waterway outlet than the target ultrasonic sensor;

[0024] Determine the flocculence detection moments of adjacent reference ultrasonic sensors that first detect floccules, and obtain the flocculence response time intervals between the respective flocculence detection moments;

[0025] The bubble horizontal diffusion resistance of the target ultrasonic sensor is calculated using the flocculent response time intervals of all reference ultrasonic sensors.

[0026] Furthermore, the method of determining the bubble volume destruction rate of the target ultrasonic sensor at each floc detection moment based on the floc movement disorder and the horizontal diffusion resistance of the bubbles includes:

[0027] The bubble volume destruction rate of the target ultrasonic sensor at each floc detection moment is calculated by multiplying the floc movement disorder and the bubble horizontal diffusion resistance.

[0028] Furthermore, obtaining the ultrasonic intensity rise resistance using ultrasonic data includes:

[0029] Determining ultrasonic data greater than a preset first ultrasonic intensity threshold in the ultrasonic data as flocculent reflection data, and determining a time corresponding to the flocculent reflection data as a flocculent detection time;

[0030] Using a target ultrasonic data sequence of the target ultrasonic sensor at its flocculence detection moment, determining the mean value of the ultrasonic data between all adjacent flocculence detection moments and the number of flocculence moments at which the difference in ultrasonic data is less than a preset second ultrasonic intensity threshold;

[0031] The ultrasonic intensity rise resistance of the target ultrasonic sensor is calculated by using the time difference between adjacent flocculence detection times, the number of flocculence moments, and the mean value.

[0032] Furthermore, the method of using ultrasonic data to obtain the ultrasonic intensity rise resistance and combining it with the bubble volume destruction rate to determine the scum layer formation stability of the target ultrasonic sensor includes:

[0033] The inverse of the product of the ultrasonic intensity rise resistance and the bubble volume destruction rate is used as the scum layer formation stability of the target ultrasonic sensor;

[0034] The stability of the scum layer formation is positively correlated with the bubble diameter in the adjusted dissolved air water.

[0035] Furthermore, the method of adjusting the bubble diameter in the dissolved air water by utilizing the stability of the scum layer formation includes:

[0036] determining ultrasonic sensors whose scum layer formation stability is less than a preset stability threshold and the corresponding number of ultrasonic sensors;

[0037] When the number of ultrasonic sensors is greater than a preset threshold, the adjusted dissolved air pressure is calculated using the scum layer formation stability and the initial dissolved air pressure, and the bubble diameter in the dissolved air water is adjusted using the adjusted dissolved air pressure.

[0038] The present invention further provides a device for treating wastewater from washing recycled plastic particles, the device being used to implement any of the above methods for treating wastewater from washing recycled plastic particles; the device comprising:

[0039] A sensor data detection module is used to obtain the ray intensity data of the laser diffraction of dissolved air water in the waterway and the ultrasonic data of the scum layer detected by the ultrasonic sensor in the flotation tank;

[0040] The bubble state analysis module is used to use the ray intensity data to obtain the bubble volume stability of the dissolved air water, and combine it with the ultrasonic data to determine the floc motion disorder of the target ultrasonic sensor at each detection moment; based on the floc response time interval between the floc detection moments when the adjacent ultrasonic sensors first detect flocs, the horizontal diffusion resistance of the bubbles of the target ultrasonic sensor is determined; based on the floc motion disorder and the horizontal diffusion resistance of the bubbles, the bubble volume destruction rate of the target ultrasonic sensor at each floc detection moment is determined;

[0041] The dissolved air adjustment control module is used to use ultrasonic data to obtain the resistance to the increase of ultrasonic intensity, and determine the stability of the scum layer formation of the target ultrasonic sensor in combination with the bubble volume destruction rate; and adjust the bubble diameter in the dissolved air water using the scum layer formation stability.

[0042] The present invention has the following beneficial effects:

[0043] The present invention analyzes the stability of the volume morphology of tiny bubbles in the dissolved air water before it flows into the flotation tank and contacts the sewage containing flocs in the flotation tank based on the intensity data of laser diffraction of dissolved air water in the waterway, and obtains the bubble volume stability of the dissolved air water. It quantifies the influence of the environment on the diameter of bubbles in the dissolved air water before the dissolved air water flows into the sewage, so as to make a comparative analysis with the dissolved air water after entering the sewage. Then, based on the bubble volume stability, it analyzes the state of environmental damage to the tiny bubbles in the dissolved air water after they enter the sewage containing a large amount of flocs. Based on this, it further analyzes the obstruction to the diffusion of tiny bubbles to the entire flotation tank, and thus calculates the bubble volume stability of different ultrasonic sensors at different times. The volume destruction rate numerically displays the diffusion of bubbles when dissolved air water flows into various areas of sewage, and connects the environmental changes to which the bubbles are subject before and after the dissolved air water enters the sewage. Based on the bubble volume destruction rate and the ultrasonic emission interval, the situation in which bubbles destroy the water surface to form a scum layer during the diffusion and adsorption process is analyzed, and the scum layer formation stability of each ultrasonic sensor is calculated. The adsorption effect of the bubbles is further judged through the effect of the scum layer formation, as well as the influence of the change in bubble diameter, so that the pressure of the bubbles generated by the dissolved air water device is clearer, so as to accurately adjust to a reasonable bubble diameter that is easier to treat sewage, achieve better sewage treatment effect, and significantly improve the sewage purification efficiency after washing discarded plastics. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the technical solutions and advantages of the embodiments of the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0045] Figure 1 A flowchart of the steps of a method for treating wastewater from washing plastic recycled particles provided by one embodiment of the present invention;

[0046] Figure 2 A detailed flow chart of step S2 in a method for treating wastewater from washing plastic recycled particles provided by one embodiment of the present invention;

[0047] Figure 3 A detailed flow chart of step S22 in a method for treating wastewater from washing plastic recycled particles provided by one embodiment of the present invention;

[0048] Figure 4 A detailed flow chart of step S3 in a method for treating wastewater from washing plastic recycled particles provided by one embodiment of the present invention;

[0049] Figure 5A detailed flow chart of step S5 in a method for treating wastewater from washing plastic recycled particles provided by one embodiment of the present invention;

[0050] Figure 6 A detailed flow chart of step S5 in a method for treating wastewater from washing plastic recycled particles provided by another embodiment of the present invention;

[0051] Figure 7 This is a schematic diagram of the hardware operating environment of a wastewater treatment device for washing recycled plastic particles according to an embodiment of the present invention;

[0052] Figure 8 This is a schematic diagram of the framework structure of a wastewater treatment device for washing plastic recycled particles according to an embodiment of the present invention. DETAILED DESCRIPTION

[0053] To further illustrate the technical means and effectiveness of the present invention to achieve its intended objectives, the following, in conjunction with the accompanying drawings and preferred embodiments, details the specific implementation, structure, features, and effectiveness of a method for treating wastewater from washing recycled plastic particles according to the present invention. In the following description, references to "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.

[0054] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0055] The specific scheme of the method for treating wastewater from washing plastic recycled particles provided by the present invention is described in detail below with reference to the accompanying drawings.

[0056] Example 1:

[0057] For the wastewater treatment method for washing recycled plastic particles provided by the present invention, please refer to Figure 1 , which shows a flow chart of the steps of a method for treating wastewater from cleaning plastic recycled particles provided by one embodiment of the present invention.

[0058] The method comprises:

[0059] Step S1, obtaining the ray intensity data of the laser diffraction of the dissolved air water in the water channel and the ultrasonic data of the scum layer detected by the ultrasonic sensor in the flotation tank;

[0060] In this embodiment, the sewage treatment process may include the following processes:

[0061] (1) The sewage flows through the grid and screen to filter out large particles of pollutants in the sewage, and then the filtered sewage flows into the flotation tank.

[0062] (2) Add flocculant and coagulant aid into the flotation tank and let it stand for 10 minutes (adjustable) to form a large amount of flocs.

[0063] (3) Start the dissolved air water device (equipment) and generate dissolved air water containing a large number of tiny bubbles by compressing air into the water body. Adjust the pressure of the dissolved air water device (usually maintained at 0.35 MPa) and initially control the generated bubble diameter to be around 30 μm (i.e., in the range of 25-35 μm).

[0064] (4) A 532nm (laser wavelength) solid-state laser can be installed at the bottom of the water channel connecting the dissolved air water device and the flotation tank as a light source. A multi-angle detector is then installed on the top of the water channel to receive the diffracted light generated by the light source. The connected computer software automatically calculates the ray intensity data for each diffraction angle area, records the ray intensity data at a frequency of 1 time per second, and controls the flow rate of the dissolved air water into the flotation tank at a speed of 0.1m / s or no more than 0.1m / s. The multi-angle detector is distributed with multiple diffraction angle areas for receiving laser light.

[0065] (5) After the dissolved air water flows into the flotation tank, it stays there for 15 minutes to separate the slag from the water. Five (adjustable) ultrasonic sensors are installed at equal intervals on the wall of the flotation tank 5 cm below the water surface. Ultrasonic waves are emitted at a frequency of 10 times per second toward the water surface. Each time an ultrasonic wave is emitted, ultrasonic data is output at a frequency of 0.5 seconds per time until the end of the residence time. The ultrasonic sensor is mainly used to detect the formation of a slag layer on the water surface or in the water.

[0066] Step S2, using the ray intensity data to obtain the bubble volume stability of the dissolved air water, and combining it with the ultrasonic data to determine the flocculent motion disorder at each detection moment of the target ultrasonic sensor;

[0067] If the dissolved air water produced by the dissolved air water device is directly fed into the flotation tank, the rate of flow will be too fast and difficult to control, significantly disrupting the already formed floc structure and reducing the ability of the bubbles to absorb the flocs. Therefore, it is necessary to use a water channel to buffer the dissolved air water just discharged from the dissolved air water device. At the same time, the stability of the bubble diameter in the dissolved air water is observed to determine the quality of the dissolved air water before it enters the flotation tank.

[0068] Under normal circumstances, the dissolved air water produced by the dissolved air water device will contain a large number of tiny bubbles, and because it is newly produced, the bubble volume state is relatively unstable. In addition, when the bubbles flow with the dissolved air water, they will be disturbed by certain external forces, which will increase the change in the bubble volume state. These changes will change the diffraction of the laser beam.

[0069] Specifically, in one embodiment, please refer to Figure 2 The step S2, using the ray intensity data to obtain the bubble volume stability of the dissolved air water, includes:

[0070] Step S21, taking the time corresponding to the target ray intensity greater than a preset intensity threshold in the ray intensity data of the target diffraction angle area in the waterway as the diffraction time;

[0071] Step S22 , determining the volume stability of the bubbles in the dissolved air water by using the diffraction moment and the target ray intensity corresponding to the diffraction moment.

[0072] Please refer to Figure 3 The step S22 specifically includes:

[0073] Step S221, calculating the diffraction direction regularity of dissolved air water using the total number of diffraction moments and the number of undiffracted moments between adjacent diffraction moments;

[0074] Step S222, using the target ray intensities corresponding to adjacent diffraction moments, calculate the diffraction intensity regularity of the dissolved air water;

[0075] Step S223 : Calculate the bubble volume stability of the dissolved air water using the diffraction direction regularity and the diffraction intensity regularity.

[0076] If the volume state of the bubbles in the dissolved air water flowing through the water channel is more stable, it means that the change of the diffraction direction of the laser through the dissolved air water to the multi-angle detector is more regular, and the intensity of the diffracted light is also more regular.

[0077] Any diffraction angle area is taken as the target diffraction angle area, and the moment when the ray intensity data of the same target diffraction angle area is greater than 50 (a preset intensity threshold, which can be adjusted according to actual conditions, and 50 in the example can be a custom scale of the sensor) (the moment when the corresponding ray intensity data is obtained according to a certain sampling frequency) is set as the diffraction moment of the same target diffraction angle area; the remaining moments are set as undiffraction moments.

[0078] According to the diffraction moment, calculate the diffraction direction regularity A of the target diffraction angle area:

[0079]

[0080] Where I represents the total number of diffraction moments in the same target diffraction angle area (the total number of diffraction moments); a i,i+1 represents the number of undiffracted moments between the i-th diffraction moment and the i+1-th diffraction moment in the same target diffraction angle area; a i+1,i+2This value represents the number of undiffracted moments between the i+1th and i+2th diffraction moments in the same target diffraction angle region. A larger diffraction direction regularity A value indicates a more regular diffraction variation of the laser light through dissolved air and water toward the same target diffraction angle region of the multi-angle detector.

[0081] The average diffraction regularity of all target diffraction angle areas Set to the diffraction direction regularity of dissolved air water.

[0082] Similarly, referring to the calculation method of the diffraction direction regularity mentioned above, the diffraction moment is replaced by the ray intensity data (target ray intensity) at the diffraction moment, and the ray intensity difference between the target ray intensities at adjacent diffraction moments is calculated to obtain the diffraction intensity regularity B in the target diffraction angle area, and then the average value is taken to obtain the diffraction intensity regularity of dissolved air water.

[0083] According to the regularity of the diffraction direction of dissolved air and water Regularity of diffraction intensity of dissolved air water Calculating Bubble Volume Stability of Dissolved Air Water

[0084] So far, the bubble volume stability of dissolved air water is obtained through the above implementation process.

[0085] Based on the above embodiments, in one embodiment, step S2 includes:

[0086] Determine the straight-line distance between the target ultrasonic sensor and the waterway outlet, and determine the standard deviation of the ultrasonic data of the target ultrasonic sensor before each detection moment;

[0087] The flocculent motion disorder at each detection moment of the target ultrasonic sensor is calculated using the bubble volume stability, the straight-line distance, and the standard deviation.

[0088] In this embodiment, the dissolved air water is in a relatively obvious state of partial motion, while the sewage containing flocs in the flotation tank is in a relatively static state, resulting in a relatively obvious environmental change between the dissolved air water and the sewage. Therefore, when the dissolved air water enters the flotation tank from the waterway, the water environment in which the tiny bubbles in the dissolved air water are located changes significantly. In addition, the impact of the dissolved air water on the sewage flow causes the environmental pressure to which the tiny bubbles in the dissolved air water are subjected to a sharp change, which may cause the tiny bubbles in the dissolved air water to change, reduce the ability of the tiny bubbles to adsorb flocs, interfere with the formation of the subsequent scum layer, and delay the efficiency of sewage treatment.

[0089] The ultrasonic sensors installed in the flotation tanks are located at varying distances from the waterway. From the moment the dissolved air water flows into the sewage, tiny bubbles within it begin to absorb flocculent matter in some areas of the sewage, while simultaneously spreading to other areas. Therefore, for ultrasonic sensors closer to the waterway, the ultrasonic data related to bubble absorption of flocculent matter is more susceptible to interference from these tiny bubbles.

[0090] The ultrasonic sensors are sorted in descending order of distance from the waterway outlet to obtain an ultrasonic sensor sequence.

[0091] Count the straight-line distance L between each ultrasonic sensor and the waterway outlet.

[0092] A sequence constructed by the ultrasonic data collected by each ultrasonic sensor is set as the ultrasonic data sequence of each ultrasonic sensor.

[0093] For any detection moment (of an ultrasonic sensor) and any ultrasonic sensor (serving as a target ultrasonic sensor), the closer the target ultrasonic sensor is to the dissolved air water outlet (that is, the waterway outlet), the more chaotic the ultrasonic data detected before the current moment is. This indicates that the target ultrasonic sensor is closer to the area where dissolved air water and sewage are in contact and adsorption occurs significantly. This reflects that the motion trajectory of flocs produced by bubbles adsorbing flocs at the current position of the target ultrasonic sensor is more chaotic. The floc motion disorder of the target ultrasonic sensor at each detection moment is calculated as follows:

[0094]

[0095] Where D represents the floc motion disorder of the target ultrasonic sensor at each detection moment; δ represents the standard deviation of the ultrasonic data of the target ultrasonic sensor before each detection moment; and C represents the bubble volume stability of the dissolved air water.

[0096] Step S3, determining the bubble horizontal diffusion barrier of the target ultrasonic sensor according to the flocculent response time interval at the flocculent detection moment when the adjacent ultrasonic sensor first detects the flocculent;

[0097] When dissolved air water is injected into the flotation tank, the tiny bubbles within it, pushed by the water flow, continuously diffuse toward the distant sewage, resulting in an overall long-range diffusion phenomenon. Furthermore, as the dissolved air water is injected into the flotation tank, the tiny bubbles within the water begin to absorb flocs in the sewage, causing these floc-attached bubbles to float toward the water surface. (Floc-attached bubbles are heavier, and the kinetic energy of the dissolved air water (which is inherently small and constantly dissipating) is insufficient to propel the floc-attached bubbles to significant horizontal movement.) In summary, when flocs float upward, they hinder the diffusion of a certain amount of bubbles. Furthermore, when flocs float upward, they affect the signal expression of the ultrasonic sensor. Therefore, analyzing the ultrasonic sensor's ultrasonic data can reveal the relationship between bubbles and environmental changes.

[0098] Specifically, in one embodiment, please refer to Figure 4 , said step S3 comprises:

[0099] Step S31, determining the ultrasonic data with an intensity greater than a preset first ultrasonic intensity threshold as flocculent reflection data, and determining the time corresponding to the flocculent reflection data as the flocculent detection time;

[0100] Step S32, determining a preset number of reference ultrasonic sensors that are adjacent to the target ultrasonic sensor and closer to the waterway outlet than the target ultrasonic sensor;

[0101] Step S33, determining the flocculence detection moments at which adjacent reference ultrasonic sensors first detect floccules, and obtaining the flocculence response time intervals between the respective flocculence detection moments;

[0102] Step S34 : using the flocculent response time intervals of all reference ultrasonic sensors, calculate the bubble horizontal diffusion barrier of the target ultrasonic sensor.

[0103] In this embodiment, among all the ultrasonic data of each ultrasonic sensor, the ultrasonic data with an ultrasonic data value greater than 40 (a first ultrasonic intensity threshold value is preset and can be adjusted according to actual conditions, where 40 can be a custom scale of the sensor) is set as the flocculent reflection data of each ultrasonic sensor (meaning that floccules are detected), and the corresponding time is set as the flocculent detection time of each ultrasonic sensor.

[0104] As the distance between the ultrasonic sensor and the waterway outlet increases, the kinetic energy of dissolved air in the water supporting the diffusion of tiny bubbles to distant locations will become weaker (but will not be zero). Ideally, the ultrasonic sensor will detect flocs relatively slowly:

[0105] In the aforementioned sequence of ultrasonic sensors arranged according to the distance from the waterway outlet, the time interval between the first flocculence detection moments of each pair of adjacent ultrasonic sensors is counted and set as the flocculence response time interval t.

[0106] According to the flocculent response time interval t, calculate the bubble horizontal diffusion barrier E of any j1th ultrasonic sensor (here as the target ultrasonic sensor) j1 :

[0107]

[0108] Where, J j1 represents the actual number of ultrasonic sensors before the j1th ultrasonic sensor (“previous ultrasonic sensors” refer to ultrasonic sensors closer to the waterway outlet); t j1,j+1,j represents the flocculent response time interval between the j+1th reference ultrasonic sensor and the jth reference ultrasonic sensor before the j1th ultrasonic sensor; t j1,j+2,j+1 It represents the flocculent response time interval between the j+2th reference ultrasonic sensor and the j+1th reference ultrasonic sensor before the j1th ultrasonic sensor; ∏ represents the cumulative multiplication symbol. If the superscript is smaller than the subscript, it can be ignored or calculated as 1. Its bubble horizontal diffusion barrier E j1 The larger the value, the greater the obstruction faced by the bubbles of aerosol-dissolved water entering the sewage in propagating toward the j1th ultrasonic sensor.

[0109] In addition, the bubble horizontal diffusion barrier E of the j1th ultrasonic sensor is j1 If the number of ultrasonic sensors previously existing does not meet the preset conditions, the actual number shall prevail and the calculation can be performed referring to the above calculation process.

[0110] According to the above formula and implementation process, it should be noted that the preset number corresponding to the above formula is 3, that is, 3 reference ultrasonic sensors adjacent to the target ultrasonic sensor are taken. Of course, the preset number here can be adjusted, but generally speaking, the calculation purpose can be achieved by calculating and reflecting the horizontal diffusion resistance of bubbles of the target ultrasonic sensor through 3 reference ultrasonic sensors adjacent to the target ultrasonic sensor and closer to the waterway outlet than the target ultrasonic sensor.

[0111] Step S4, determining the bubble volume destruction rate of the target ultrasonic sensor at each floc detection moment according to the floc movement disorder and the horizontal diffusion resistance of the bubbles;

[0112] Specifically, the step S4 includes:

[0113] The bubble volume destruction rate of the target ultrasonic sensor at each floc detection moment is calculated by multiplying the floc movement disorder and the bubble horizontal diffusion resistance.

[0114] For any floc detection moment of any ultrasonic sensor, the more chaotic the motion trajectory of bubbles adsorbed on flocs at the target ultrasonic sensor's location at that moment, the greater the obstruction to the distant propagation of bubbles of dissolved water entering the sewage. This indicates a higher probability of bubble volume destruction at the target ultrasonic sensor at that moment. Based on the floc motion disorder D and the horizontal diffusion resistance E of bubbles, the bubble volume destruction rate F = E × D for each ultrasonic sensor at each corresponding floc detection moment is calculated. Each ultrasonic sensor corresponds to multiple floc detection moments.

[0115] So far, the bubble volume destruction rate of each ultrasonic sensor at each flocculent detection moment is obtained through the above implementation process.

[0116] Step S5, using the ultrasonic data to obtain the ultrasonic intensity rise resistance, and combining it with the bubble volume destruction rate to determine the scum layer formation stability of the target ultrasonic sensor; and using the scum layer formation stability to adjust the bubble diameter in the dissolved air water.

[0117] In this embodiment, under normal circumstances, as bubbles continue to absorb flocs, the flocs will rise to the water surface and accumulate to form a scum layer, causing the ultrasonic waves emitted by the ultrasonic sensor at fixed intervals to be bounced back more quickly. As the thickness of the scum layer continues to increase, the intensity also continues to increase. However, if the tiny bubbles in the aerosolized water are severely damaged, the thickness of the scum layer may be repeatedly destroyed and cannot be accumulated stably and continuously.

[0118] Specifically, in one embodiment, please refer to Figure 5 , the step S5 comprises:

[0119] Step S51, determining the ultrasonic data with an intensity greater than a preset first ultrasonic intensity threshold in the ultrasonic data as flocculent reflection data, and determining the time corresponding to the flocculent reflection data as the flocculent detection time;

[0120] Step S52: using the target ultrasonic data sequence of the target ultrasonic sensor at its flocculence detection moment, determining the mean value of the ultrasonic data between all adjacent flocculence detection moments and the number of flocculence moments at which the difference in ultrasonic data is less than a preset second ultrasonic intensity threshold;

[0121] Step S53 : calculating the ultrasonic intensity rise resistance of the target ultrasonic sensor by using the time difference between adjacent flocculence detection times, the number of flocculence times, and the mean value.

[0122] Based on the above embodiments, in this embodiment, an ultrasonic data sequence is constructed based on the ultrasonic data of each ultrasonic sensor at multiple flocculent detection moments. The target ultrasonic sensor corresponds to the target ultrasonic data sequence.

[0123] Under any ultrasonic sensor (target ultrasonic sensor):

[0124] The number N of flocculent moments at which the difference value of ultrasonic data between all adjacent flocculent detection moments is less than 20 (a second ultrasonic intensity threshold is preset and can be adjusted according to actual conditions, where 20 can be a custom scale of the sensor) is counted.

[0125] Calculate the mean of ultrasonic data at all adjacent flocculent detection moments

[0126] According to the mean The number of flocculent moments N is used to calculate the ultrasonic intensity rise resistance H of the target ultrasonic sensor:

[0127]

[0128] Where M n,n+1 It represents the number of time intervals between the nth flocculence detection time and the n+1th flocculence detection time, that is, the time difference. represents the mean value of the ultrasonic data between the nth flocculence detection moment and the n+1th flocculence detection moment.

[0129] The greater the ultrasonic intensity rising resistance H value is, the more likely it is that after the flocs in the target ultrasonic sensor detection area form a scum layer, the structure (thickness) of the formed scum layer is more easily destroyed by subsequent bubble activity and flocs.

[0130] In one embodiment, step S5, using ultrasonic data to obtain ultrasonic intensity rise resistance and combining it with bubble volume destruction rate to determine the scum layer formation stability of the target ultrasonic sensor, includes:

[0131] The inverse of the product of the ultrasonic intensity rise resistance and the bubble volume destruction rate is used as the scum layer formation stability of the target ultrasonic sensor; wherein the scum layer formation stability is positively correlated with the bubble diameter in the adjusted dissolved air water.

[0132] According to the bubble volume destruction rate F and the ultrasonic intensity rise resistance H, the scum layer formation stability K of the target ultrasonic sensor is calculated:

[0133]

[0134] The smaller the K value of the scum layer formation stability, the more likely it is that after the flocs in the target ultrasonic sensor detection area form a scum layer, the structure (thickness) of the formed scum layer is more easily destroyed by subsequent bubble activity and flocs, and the source of destruction is more likely to be the unstable bubble volume caused by the inappropriate diameter of the bubble itself.

[0135] Thus, the scum layer formation stability of each ultrasonic sensor is obtained.

[0136] Please refer to Figure 6 In another embodiment, the step S5 of adjusting the bubble diameter in the dissolved air water by utilizing the stability of the scum layer formation includes:

[0137] Step S501, determining the ultrasonic sensors whose scum layer formation stability is less than a preset stability threshold and the corresponding number of ultrasonic sensors;

[0138] Step S502 , when the number of ultrasonic sensors is greater than a preset number threshold, the adjusted dissolved air pressure is calculated using the scum layer formation stability and the initial dissolved air pressure, and the bubble diameter in the dissolved air water is adjusted according to the adjusted dissolved air pressure.

[0139] In this embodiment, under normal circumstances, the smaller the diameter of the bubbles generated by the dissolved air water device, the better the floc adsorption effect, but at the same time it also consumes more energy; and the smaller the stability of the scum layer formation calculated above, to a certain extent, it shows that the bubble adsorption effect is worse, reflecting that the bubbles need to be adjusted to a smaller diameter.

[0140] On the other hand, the actual requirement for the formation of the scum layer is that it is formed over a large area of ​​the flotation tank. Therefore, if the scum layer is unstable in only a certain area (i.e., a single ultrasonic sensor), it will generally not affect the overall scum-water separation of the sewage to a large extent:

[0141] If there are two or more (preset number threshold, which can be determined and adjusted according to actual conditions) ultrasonic sensors whose scum layer formation stability is less than 0.4 (preset stability threshold, which can be adjusted according to actual conditions), then it is necessary to adjust the applied pressure of the dissolved air water device, and the specific adjustment value is P1=P×(1+K); where P represents the original pressure of the dissolved air water device, that is, the initial dissolved air pressure; and P1 represents the dissolved air pressure of the dissolved air water device after adjustment.

[0142] Then, according to P1, the dissolved air water device produces new dissolved air water and injects it into the flotation tank. Whenever the thickness of the scum layer reaches 5 cm (that is, the time interval between the ultrasonic sensor transmitting an ultrasonic wave and receiving the ultrasonic information is less than 0.01 second (this preset value can be adjusted according to actual conditions)), the scraper is started to scrape the scum layer out of the flotation tank.

[0143] It should also be noted that if the adjusted dissolved air water pressure exceeds the conventional prescribed pressure range (0.35MPa-0.5Mpa), then for safety reasons the dissolved air water must be pressurized while maintaining the maximum pressure range boundary.

[0144] The present invention analyzes the stability of the volume morphology of tiny bubbles in the dissolved air water before it flows into the flotation tank and contacts the sewage containing flocs in the flotation tank based on the intensity data of laser diffraction of dissolved air water in the waterway, and obtains the bubble volume stability of the dissolved air water. It quantifies the influence of the environment on the diameter of bubbles in the dissolved air water before the dissolved air water flows into the sewage, so as to make a comparative analysis with the dissolved air water after entering the sewage. Then, based on the bubble volume stability, it analyzes the state of environmental damage to the tiny bubbles in the dissolved air water after they enter the sewage containing a large amount of flocs. Based on this, it further analyzes the obstruction to the diffusion of tiny bubbles to the entire flotation tank, and thus calculates the bubble volume stability of different ultrasonic sensors at different times. The volume destruction rate numerically displays the diffusion of bubbles when dissolved air water flows into various areas of sewage, and connects the environmental changes to which the bubbles are subject before and after the dissolved air water enters the sewage. Based on the bubble volume destruction rate and the ultrasonic emission interval, the situation in which bubbles destroy the water surface to form a scum layer during the diffusion and adsorption process is analyzed, and the scum layer formation stability of each ultrasonic sensor is calculated. The adsorption effect of the bubbles is further judged through the effect of the scum layer formation, as well as the influence of the change in bubble diameter, so that the pressure of the bubbles generated by the dissolved air water device is clearer, so as to accurately adjust to a reasonable bubble diameter that is easier to treat sewage, achieve better sewage treatment effect, and significantly improve the sewage purification efficiency after washing discarded plastics.

[0145] Example 2:

[0146] The present invention also provides a wastewater treatment device for washing recycled plastic particles. The wastewater treatment device can be a dissolved air water production device, a computer, a programmable logic controller, or other analysis and control device, or a combination of multiple devices.

[0147] like Figure 7 As shown, Figure 7 It is a structural diagram of the hardware operating environment of the plastic recycled particle cleaning wastewater treatment equipment involved in the embodiment of the present invention.

[0148] like Figure 7As shown, the plastic recycled particle cleaning wastewater treatment equipment may include: a processor 1001, such as a CPU, a network interface 1004, a user interface 1003, a memory 1005, and a communication bus 1002. Among them, the communication bus 1002 is used to realize the connection and communication between these components. The user interface 1003 may include a display (Display), an input unit such as a control panel, and the optional user interface 1003 may also include a standard wired interface and a wireless interface. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a WIFI interface). The memory 1005 may be a high-speed RAM memory or a stable memory (non-volatile memory), such as a disk memory. The memory 1005 may optionally be a storage device independent of the aforementioned processor 1001. The memory 1005 as a computer storage medium may include a plastic recycled particle cleaning wastewater treatment program.

[0149] Those skilled in the art will understand that Figure 7 The hardware structure shown in the figure does not constitute a limitation of the device, and may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently.

[0150] Continue to refer to Figure 7 , Figure 7 The memory 1005 as a computer-readable storage medium may include an operating device, a user interface module, a network communication module, and a plastic recycled particle cleaning wastewater treatment program.

[0151] exist Figure 7 In the embodiment, the network communication module is mainly used to connect to the server and can communicate data with the server; and the processor 1001 can call the plastic recycled particle cleaning wastewater treatment program stored in the memory 1005 and execute the steps in the above embodiments.

[0152] The hardware structure of the above-mentioned plastic recycled particle cleaning wastewater treatment equipment is used to implement various embodiments of the plastic recycled particle cleaning wastewater treatment method of the present invention.

[0153] In addition, the present invention also provides a wastewater treatment device for washing plastic recycled particles, please refer to Figure 8 , the plastic recycled particle cleaning wastewater treatment device includes:

[0154] The sensor data detection module A10 is used to obtain the ray intensity data of the laser diffraction of the dissolved air water in the waterway and the ultrasonic data of the scum layer detected by the ultrasonic sensor in the flotation tank;

[0155] The bubble state analysis module A20 is used to use the ray intensity data to obtain the bubble volume stability of the dissolved air water, and combine it with the ultrasonic data to determine the floc motion disorder of the target ultrasonic sensor at each detection moment; determine the horizontal diffusion resistance of the bubbles of the target ultrasonic sensor based on the floc response time interval between the floc detection moments when the adjacent ultrasonic sensors first detect flocs; and determine the bubble volume destruction rate of the target ultrasonic sensor at each floc detection moment based on the floc motion disorder and the bubble horizontal diffusion resistance.

[0156] The dissolved air adjustment control module A30 is used to obtain the ultrasonic intensity rise resistance using ultrasonic data, and determine the scum layer formation stability of the target ultrasonic sensor in combination with the bubble volume destruction rate; and adjust the bubble diameter in the dissolved air water using the scum layer formation stability.

[0157] Furthermore, the bubble state analysis module A20 is further configured to:

[0158] The time corresponding to the target ray intensity greater than the preset intensity threshold in the ray intensity data of the target diffraction angle area in the waterway is taken as the diffraction time;

[0159] The volume stability of the bubbles in the dissolved air water is determined by using the diffraction moment and the target ray intensity corresponding to the diffraction moment.

[0160] Furthermore, the bubble state analysis module A20 is further configured to:

[0161] The diffraction direction regularity of dissolved air water is calculated using the total number of diffraction moments and the number of undiffracted moments between adjacent diffraction moments.

[0162] The diffraction intensity regularity of dissolved air water is calculated using the target ray intensities corresponding to adjacent diffraction moments.

[0163] The bubble volume stability of the dissolved air water is calculated using the diffraction direction regularity and the diffraction intensity regularity.

[0164] Furthermore, the bubble state analysis module A20 is further configured to:

[0165] Determine the straight-line distance between the target ultrasonic sensor and the waterway outlet, and determine the standard deviation of the ultrasonic data of the target ultrasonic sensor before each detection moment;

[0166] The flocculent motion disorder at each detection moment of the target ultrasonic sensor is calculated using the bubble volume stability, the straight-line distance, and the standard deviation.

[0167] Furthermore, the bubble state analysis module A20 is further configured to:

[0168] Determining ultrasonic data greater than a preset first ultrasonic intensity threshold in the ultrasonic data as flocculent reflection data, and determining a time corresponding to the flocculent reflection data as a flocculent detection time;

[0169] determining a preset number of reference ultrasonic sensors adjacent to the target ultrasonic sensor and closer to the waterway outlet than the target ultrasonic sensor;

[0170] Determine the flocculence detection moments of adjacent reference ultrasonic sensors that first detect floccules, and obtain the flocculence response time intervals between the respective flocculence detection moments;

[0171] The bubble horizontal diffusion resistance of the target ultrasonic sensor is calculated using the flocculent response time intervals of all reference ultrasonic sensors.

[0172] Furthermore, the bubble state analysis module A20 is further configured to:

[0173] The bubble volume destruction rate of the target ultrasonic sensor at each floc detection moment is calculated by multiplying the floc movement disorder and the bubble horizontal diffusion resistance.

[0174] Furthermore, the dissolved gas adjustment control module A30 is further configured to:

[0175] Determining ultrasonic data greater than a preset first ultrasonic intensity threshold in the ultrasonic data as flocculent reflection data, and determining a time corresponding to the flocculent reflection data as a flocculent detection time;

[0176] Using a target ultrasonic data sequence of the target ultrasonic sensor at its flocculence detection moment, determining the mean value of the ultrasonic data between all adjacent flocculence detection moments and the number of flocculence moments at which the difference in ultrasonic data is less than a preset second ultrasonic intensity threshold;

[0177] The ultrasonic intensity rise resistance of the target ultrasonic sensor is calculated by using the time difference between adjacent flocculence detection times, the number of flocculence moments, and the mean value.

[0178] Furthermore, the dissolved gas adjustment control module A30 is further configured to:

[0179] The inverse of the product of the ultrasonic intensity rise resistance and the bubble volume destruction rate is used as the scum layer formation stability of the target ultrasonic sensor;

[0180] The stability of the scum layer formation is positively correlated with the bubble diameter in the adjusted dissolved air water.

[0181] Furthermore, the dissolved gas adjustment control module A30 is further configured to:

[0182] determining ultrasonic sensors whose scum layer formation stability is less than a preset stability threshold and the corresponding number of ultrasonic sensors;

[0183] When the number of ultrasonic sensors is greater than a preset threshold, the adjusted dissolved air pressure is calculated using the scum layer formation stability and the initial dissolved air pressure, and the bubble diameter in the dissolved air water is adjusted using the adjusted dissolved air pressure.

[0184] The specific implementation of the wastewater treatment device for washing recycled plastic particles of the present invention is basically the same as the embodiments of the wastewater treatment method for washing recycled plastic particles described above, and will not be described in detail here.

[0185] The present invention also provides a computer-readable storage medium having a program for treating wastewater from washing recycled plastic particles stored thereon, wherein when the program is executed by a processor, the steps of the method for treating wastewater from washing recycled plastic particles are implemented.

[0186] Among them, the method implemented when the plastic recycled particle cleaning wastewater treatment program is executed can refer to the various embodiments of the plastic recycled particle cleaning wastewater treatment method of the present invention, and will not be repeated here.

[0187] It should be noted that the order in which the embodiments of the present invention are described above is for illustrative purposes only and does not necessarily represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or sequential order shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0188] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on the differences from other embodiments.

[0189] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, apparatus, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0190] The above description is only a preferred embodiment of the present invention and does not limit the scope of protection of the present invention. All equivalent structural / method transformations made by using the contents of the present invention description and drawings under the inventive concept of the present invention, or direct / indirect application in other related technical fields are included in the scope of protection of the present invention.

Claims

1. A method for treating wastewater from washing recycled plastic particles, characterized in that: The method comprises: Obtaining the intensity data of laser diffraction of dissolved air water in the water channel and the ultrasonic data of the scum layer detected by the ultrasonic sensor in the flotation tank; The stability of the bubble volume of dissolved air water is obtained using the ray intensity data, and the turbulence of flocculent motion at each detection moment of the target ultrasonic sensor is determined in combination with the ultrasonic data. determining the bubble horizontal diffusion resistance of the target ultrasonic sensor according to the flocculent response time interval at the flocculent detection moment when the adjacent ultrasonic sensor first detects the flocculent; According to the disorder of floc movement and the horizontal diffusion resistance of bubbles, the bubble volume destruction rate of the target ultrasonic sensor at each floc detection moment is determined; Ultrasonic data is used to obtain the resistance to ultrasonic intensity increase, and the stability of the scum layer formation of the target ultrasonic sensor is determined in combination with the bubble volume destruction rate. The scum layer formation stability is used to adjust the bubble diameter in the dissolved air water.

2. The method for treating wastewater from washing recycled plastic particles according to claim 1, wherein: The method of obtaining the bubble volume stability of dissolved air water by using the radiation intensity data includes: The time corresponding to the target ray intensity greater than the preset intensity threshold in the ray intensity data of the target diffraction angle area in the waterway is taken as the diffraction time; The volume stability of the bubbles in the dissolved air water is determined by using the diffraction moment and the target ray intensity corresponding to the diffraction moment.

3. The method for treating wastewater from washing recycled plastic particles according to claim 2, wherein: The method of determining the bubble volume stability of dissolved air water by using the diffraction moment and the target ray intensity corresponding to the diffraction moment includes: The diffraction direction regularity of dissolved air water is calculated using the total number of diffraction moments and the number of undiffracted moments between adjacent diffraction moments. The diffraction intensity regularity of dissolved air water is calculated using the target ray intensities corresponding to adjacent diffraction moments. The bubble volume stability of the dissolved air water is calculated by utilizing the diffraction direction regularity and the diffraction intensity regularity of the dissolved air water.

4. The method for treating wastewater from washing recycled plastic particles according to claim 1, wherein: The method of using the ray intensity data to obtain the bubble volume stability of the dissolved air water and combining the ultrasonic data to determine the flocculent motion disorder at each detection moment of the target ultrasonic sensor includes: Determine the straight-line distance between the target ultrasonic sensor and the waterway outlet, and determine the standard deviation of the ultrasonic data of the target ultrasonic sensor before each detection moment; The flocculent motion disorder at each detection moment of the target ultrasonic sensor is calculated using the bubble volume stability, the straight-line distance, and the standard deviation.

5. The method for treating wastewater from washing recycled plastic particles according to claim 1, wherein: The step of determining the bubble horizontal diffusion barrier of the target ultrasonic sensor based on the flocculent response time interval at the flocculent detection moment when the adjacent ultrasonic sensor first detects the flocculent includes: Determining ultrasonic data greater than a preset first ultrasonic intensity threshold in the ultrasonic data as flocculent reflection data, and determining a time corresponding to the flocculent reflection data as a flocculent detection time; determining a preset number of reference ultrasonic sensors adjacent to the target ultrasonic sensor and closer to the waterway outlet than the target ultrasonic sensor; Determine the flocculence detection moments of adjacent reference ultrasonic sensors that first detect floccules, and obtain the flocculence response time intervals between the respective flocculence detection moments; The bubble horizontal diffusion resistance of the target ultrasonic sensor is calculated using the flocculent response time intervals of all reference ultrasonic sensors.

6. The method for treating wastewater from washing recycled plastic particles according to claim 1, wherein: The method of determining the bubble volume destruction rate of the target ultrasonic sensor at each floc detection moment based on the floc movement disorder and the horizontal diffusion resistance of the bubbles includes: The bubble volume destruction rate of the target ultrasonic sensor at each floc detection moment is calculated by multiplying the floc movement disorder and the bubble horizontal diffusion resistance.

7. The method for treating wastewater from washing recycled plastic particles according to claim 1, wherein: The method of obtaining the ultrasonic intensity increase resistance using ultrasonic data includes: Determining ultrasonic data greater than a preset first ultrasonic intensity threshold in the ultrasonic data as flocculent reflection data, and determining a time corresponding to the flocculent reflection data as a flocculent detection time; Using a target ultrasonic data sequence of the target ultrasonic sensor at its flocculence detection moment, determining the mean value of the ultrasonic data between all adjacent flocculence detection moments and the number of flocculence moments at which the difference in ultrasonic data is less than a preset second ultrasonic intensity threshold; The ultrasonic intensity rise resistance of the target ultrasonic sensor is calculated by using the time difference between adjacent flocculence detection times, the number of flocculence times, and the mean value.

8. The method for treating wastewater from washing recycled plastic particles according to claim 1, wherein: The method of using ultrasonic data to obtain the ultrasonic intensity rise resistance and combining it with the bubble volume destruction rate to determine the scum layer formation stability of the target ultrasonic sensor includes: The inverse of the product of the ultrasonic intensity rise resistance and the bubble volume destruction rate is used as the scum layer formation stability of the target ultrasonic sensor; The stability of the scum layer formation is positively correlated with the bubble diameter in the adjusted dissolved air water.

9. The method for treating wastewater from washing recycled plastic particles according to claim 1, wherein: The method of adjusting the bubble diameter in the dissolved air water by utilizing the stability of the scum layer formation comprises: determining ultrasonic sensors whose scum layer formation stability is less than a preset stability threshold and the corresponding number of ultrasonic sensors; When the number of ultrasonic sensors is greater than a preset threshold, the adjusted dissolved air pressure is calculated using the scum layer formation stability and the initial dissolved air pressure, and the bubble diameter in the dissolved air water is adjusted using the adjusted dissolved air pressure.

10. A wastewater treatment device for cleaning recycled plastic particles, characterized in that: The device is used to implement the method for treating wastewater from washing recycled plastic particles according to any one of claims 1 to 9; the device comprises: A sensor data detection module is used to obtain the ray intensity data of the laser diffraction of dissolved air water in the waterway and the ultrasonic data of the scum layer detected by the ultrasonic sensor in the flotation tank; The bubble state analysis module is used to use the ray intensity data to obtain the bubble volume stability of the dissolved air water, and combine it with the ultrasonic data to determine the floc motion disorder of the target ultrasonic sensor at each detection moment; based on the floc response time interval between the floc detection moments when the adjacent ultrasonic sensors first detect flocs, the horizontal diffusion resistance of the bubbles of the target ultrasonic sensor is determined; based on the floc motion disorder and the horizontal diffusion resistance of the bubbles, the bubble volume destruction rate of the target ultrasonic sensor at each floc detection moment is determined; The dissolved air adjustment control module is used to use ultrasonic data to obtain the resistance to the increase of ultrasonic intensity, and determine the stability of the scum layer formation of the target ultrasonic sensor in combination with the bubble volume destruction rate; and adjust the bubble diameter in the dissolved air water using the scum layer formation stability.

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