A method and device for cleaning sewage water with plastic regeneration particles

Abstract

The present application relates to sewage treatment technical field, specifically to a kind of plastic regeneration granule cleaning sewage treatment method and device, method includes: using the bubble volume stability of dissolved air water obtained by ray intensity data, combined with ultrasonic data to determine the flocculation movement disorder of each detection time of target ultrasonic sensor;According to the flocculation response time interval of flocculation detection time that adjacent ultrasonic sensor first detects flocculation, determine the bubble horizontal diffusion obstruction of target ultrasonic sensor;According to flocculation movement disorder and bubble horizontal diffusion obstruction, determine the bubble volume destruction rate of target ultrasonic sensor at each flocculation detection time;Using ultrasonic data to obtain ultrasonic intensity rising obstruction, combined with bubble volume destruction rate to determine the scum layer formation stability of target ultrasonic sensor;Using scum layer formation stability adjusts the bubble diameter in dissolved air water.The sewage treatment effect and sewage purification efficiency are improved by the technical scheme of the present application.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of sewage treatment, in particular to a plastic recycling particle cleaning sewage treatment method and device. BACKGROUND

[0002] When waste plastics are recycled, a large amount of dirt (such as oil stains, sand, labels, etc.) is usually attached. Cutting the recycled waste plastics into particles can significantly increase the surface area, making it easier for dirt to be contacted and removed by water flow or cleaning agents. The sewage generated by cleaning waste plastics cannot be directly discharged into the natural environment because it is itself contaminated. Therefore, the sewage generated by cleaning waste plastics needs to be treated. The prior art usually uses dissolved air water (water containing micro-bubbles) generated by a dissolved air water device to adsorb pollutants in the sewage. Different pollution levels of sewage are generated according to the actual pollution situation, and the dissolved air water device generates bubbles within a corresponding diameter range to produce dissolved air water, thereby treating the sewage.

[0003] When the dissolved air water generated by the dissolved air water device flows out of the device and flows into the dissolved air flotation tank (the area where the sludge layer is formed), the environmental pressure will change sharply (because the dissolved air flotation tank and the dissolved air water have a large difference in horizontal flow rate, and the water body state also has a large difference), which makes the micro-bubbles in the dissolved air water prone to coalescence, breakage, and merging, affecting the generation effect of the sludge layer. Different bubble diameters have different degrees of coalescence, breakage, and merging, and the prior art cannot select a more suitable bubble diameter within a corresponding diameter range for production according to the above situation, resulting in low sewage purification efficiency and unsatisfactory purification effect after cleaning waste plastics. SUMMARY

[0004] In order to solve the technical problem of low sewage purification efficiency and unsatisfactory purification effect after cleaning waste plastics caused by the difficulty in determining the bubble diameter of the required dissolved air water in the existing sewage treatment technology, the purpose of the present application is to provide a plastic recycling particle cleaning sewage treatment method and device, and the technical solution adopted is as follows:

[0005] The present application provides a plastic recycling particle cleaning sewage treatment method, which comprises:

[0006] Obtaining the ray intensity data of the laser diffraction of the dissolved air water in the water channel and the ultrasonic data of the ultrasonic sensor detecting the sludge layer in the dissolved air flotation tank;

[0007] 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 of each detection time of the target ultrasonic sensor;

[0008] According to the flocculent response time interval of the flocculent detection time when the adjacent ultrasonic sensor first detects the flocculent, the bubble horizontal diffusion resistance of the target ultrasonic sensor is determined.

[0009] determine the bubble volume destruction rate of the target ultrasonic sensor at each flocculation detection moment according to the flocculation motion disorder and the bubble horizontal diffusion hindering;

[0010] obtain the ultrasonic intensity rising hindering by using the 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 by using the scum layer formation stability.

[0011] Further, the obtaining the bubble volume stability of the dissolved air water by using the ray intensity data comprises:

[0012] taking the moment corresponding to the target ray intensity greater than the preset intensity threshold in the ray intensity data of the target diffraction angle region in the water channel as a diffraction moment;

[0013] 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.

[0014] Further, the 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 comprises:

[0015] calculating the diffraction direction regularity of the dissolved air water by using the total number of diffraction moments of the diffraction moment and the number of non-diffraction moments between adjacent diffraction moments;

[0016] calculating the diffraction intensity regularity of the dissolved air water by using the target ray intensity corresponding to each of the adjacent diffraction moments;

[0017] calculating the bubble volume stability of the dissolved air water by using the diffraction direction regularity of the dissolved air water and the diffraction intensity regularity of the dissolved air water.

[0018] Further, the obtaining the bubble volume stability of the dissolved air water by using the ray intensity data and determining the flocculation motion disorder of the target ultrasonic sensor at each detection moment in combination with the ultrasonic data comprises:

[0019] determining the straight-line distance of the target ultrasonic sensor from the outlet of the water channel, and determining the standard deviation of the ultrasonic data before each detection moment of the target ultrasonic sensor;

[0020] calculating the flocculation motion disorder of the target ultrasonic sensor at each detection moment by using the bubble volume stability, the straight-line distance and the standard deviation.

[0021] Further, the determining the bubble horizontal diffusion hindering of the target ultrasonic sensor according to the flocculation response time interval of the flocculation detection moment at which the flocculation is first detected by the adjacent ultrasonic sensor comprises:

[0022] determine the flocculation detection time as the time corresponding to the flocculation reflection data;

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

[0024] determine the flocculation detection time as the time corresponding to the flocculation reflection data;

[0025] calculate the bubble level diffusion resistance of the target ultrasonic sensor using the flocculation response time intervals of all reference ultrasonic sensors.

[0026] Further, the determination of the bubble volume destruction rate of the target ultrasonic sensor at each flocculation detection time according to the flocculation motion disorder and the bubble level diffusion resistance comprises:

[0027] multiply the flocculation motion disorder and the bubble level diffusion resistance to calculate the bubble volume destruction rate of the target ultrasonic sensor at each flocculation detection time.

[0028] Further, the calculation of the ultrasonic intensity rise resistance using the ultrasonic data comprises:

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

[0030] determine the mean value of the ultrasonic data between all adjacent flocculation detection times of the target ultrasonic sensor and the number of flocculation times with ultrasonic data difference less than a preset second ultrasonic intensity threshold using the target ultrasonic data sequence of the target ultrasonic sensor at its flocculation detection time;

[0031] calculate the ultrasonic intensity rise resistance of the target ultrasonic sensor using the time difference between adjacent flocculation detection times, the number of flocculation times, and the mean value.

[0032] Further, the calculation of the ultrasonic intensity rise resistance using the ultrasonic data in combination with the bubble volume destruction rate to determine the scum layer formation stability of the target ultrasonic sensor comprises:

[0033] take the reciprocal of the product of the ultrasonic intensity rise resistance and the bubble volume destruction rate as the scum layer formation stability of the target ultrasonic sensor;

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

[0035] Further, the bubble diameter in the dissolved air water is adjusted by using the scum layer formation stability, comprising:

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

[0037] when the number of ultrasonic sensors is greater than a preset number threshold value, calculating an adjusted dissolved air pressure by using the scum layer formation stability and the initial dissolved air pressure, and adjusting the bubble diameter in the dissolved air water by using the adjusted dissolved air pressure.

[0038] The application also provides a plastic regenerated particle cleaning sewage treatment device, which is used to realize the plastic regenerated particle cleaning sewage treatment method as described in any one of the above; the device comprises:

[0039] a sensing data detection module, which is used to obtain the ray intensity data of the laser diffraction of the dissolved air water in the water channel and the ultrasonic data of the ultrasonic sensor detecting the scum layer in the air flotation tank;

[0040] a bubble state analysis module, which is used to obtain the bubble volume stability of the dissolved air water by using the ray intensity data, to determine the flocculent motion turbulence of the target ultrasonic sensor at each detection time by combining the ultrasonic data, to determine the bubble horizontal diffusion hindering property of the target ultrasonic sensor according to the flocculent response time interval of the flocculent detection time when the adjacent ultrasonic sensor first detects the flocculent, and to determine the bubble volume damage rate of the target ultrasonic sensor at each flocculent detection time according to the flocculent motion turbulence and the bubble horizontal diffusion hindering property;

[0041] a dissolved air adjustment control module, which is used to obtain the ultrasonic intensity rising hindering property by using the ultrasonic data, to determine the scum layer formation stability of the target ultrasonic sensor by combining the bubble volume damage rate, and to adjust the bubble diameter in the dissolved air water by using the scum layer formation stability.

[0042] The application has the following beneficial effects:

[0043] The present application analyzes the stable state of the volume shape of the micro-bubbles in the dissolved air water before the dissolved air water contacts with the sewage containing flocculation in the inflow air flotation tank and the sewage in the air flotation tank according to the ray intensity data of the laser diffraction of the dissolved air water in the water channel, obtains the bubble volume stability of the dissolved air water, quantifies the influence relationship of the environment on the bubble diameter in the dissolved air water before the dissolved air water flows into the sewage, and makes a comparative analysis after the dissolved air water enters the sewage; then, the state of the micro-bubbles in the dissolved air water being destroyed by the environment after the micro-bubbles enter the sewage containing a large amount of flocculation is analyzed according to the bubble volume stability, and based on this, the hindrance of the diffusion of the micro-bubbles to the whole air flotation tank is further analyzed, so as to calculate the bubble volume destruction rate of different ultrasonic sensors at different times, to numerically display the bubble diffusion of the dissolved air water flowing into each area of the sewage, and to connect the environment changes of the bubbles before and after the dissolved air water enters the sewage; the situation of the sludge layer formed by the bubbles in the diffusion and adsorption process is analyzed according to the bubble volume destruction rate and the ultrasonic emission interval length, the stability of the sludge layer formed by each ultrasonic sensor is calculated, the adsorption effect of the bubbles is further judged through the effect of the sludge layer formation, and the influence of the change of the bubble diameter is made, so that the pressure of the dissolved air water device generating bubbles is more clear, so as to accurately adjust to a reasonable bubble diameter which is easier to treat the sewage, and to achieve a better sewage treatment effect, and greatly improve the sewage purification efficiency after the waste plastic is cleaned. BRIEF DESCRIPTION OF DRAWINGS

[0044] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, and the advantages thereof, below, a brief introduction will be given to the drawings needed to be used in the embodiments or the prior art description. Obviously, the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor based on these drawings.

[0045] Figure 1 A step flow chart of a plastic regenerated particle cleaning sewage treatment method provided by an embodiment of the present application;

[0046] Figure 2 A detailed flow chart of step S2 in the plastic regenerated particle cleaning sewage treatment method provided by an embodiment of the present application;

[0047] Figure 3 A detailed flow chart of step S22 in the plastic regenerated particle cleaning sewage treatment method provided by an embodiment of the present application;

[0048] Figure 4 A detailed flow chart of step S3 in the plastic regenerated particle cleaning sewage treatment method provided by an embodiment of the present application;

[0049] Figure 5A detailed flow chart of step S5 in the plastic regenerated particle cleaning sewage treatment method provided by an embodiment of the present application is provided.

[0050] Figure 6 A detailed flow chart of step S5 in the plastic regenerated particle cleaning sewage treatment method provided by another embodiment of the present application is provided.

[0051] Figure 7 A structural schematic diagram of a hardware operating environment of the plastic regenerated particle cleaning sewage treatment equipment involved in the embodiment of the present application is provided.

[0052] Figure 8 A frame structural schematic diagram of the plastic regenerated particle cleaning sewage treatment device involved in the embodiment of the present application is provided. DETAILED DESCRIPTION

[0053] In order to further illustrate the technical means and effects adopted by the present application to achieve the predetermined purposes, the specific embodiments, structures, features and effects of the plastic regenerated particle cleaning sewage treatment method according to the present application are described in detail as follows in combination with the accompanying drawings and preferred embodiments. In the following description, different “one embodiment” or “another embodiment” do not necessarily refer to the same embodiment. In addition, the specific features, structures or characteristics in one or more embodiments can be combined in any suitable form.

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

[0055] The specific scheme of the plastic regenerated particle cleaning sewage treatment method provided by the present application is specifically described below in combination with the accompanying drawings.

[0056] Embodiment one:

[0057] For the plastic regenerated particle cleaning sewage treatment method provided by the present application, please refer to Figure 1 which shows the step flow chart of the plastic regenerated particle cleaning sewage treatment method provided by an embodiment of the present application.

[0058] The method comprises:

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

[0060] In this embodiment, first briefly describe the sewage treatment can contain the following individual processes:

[0061] (1) The sewage flows through the grid and screen, filters the large particle pollutants in the sewage, and then flows the filtered sewage into the air flotation tank.

[0062] (2) The flocculants and coagulants are put into the flotation tank, and a large amount of flocculation is formed after 10 minutes (adjustable) of static state.

[0063] (3) The dissolved air water device (equipment) is started, and the dissolved air water containing a large amount of micro-bubbles is generated by compressing air into the water body. The pressure of the dissolved air water device is adjusted (usually maintained at 0.35 MPa), and the dissolved air water with a bubble diameter of about 30 μm (i.e. in the range of 25-35 μm) is initially controlled.

[0064] (4) A solid-state laser with a wavelength of 532 nm can be installed at the bottom of the water channel connected to the dissolved air water device as a light source, and a multi-angle detector can be installed at the top of the water channel to receive the diffracted light generated by the light source. The computer software connected automatically calculates the ray intensity data of each diffraction angle region, records the ray intensity data at a frequency of 1 time per second, and controls the flow rate of the dissolved air water at a speed of 0.1 m / s or not more than 0.1 m / s, and flows into the flotation tank. The multi-angle detector is distributed with a plurality of different diffraction angle regions for receiving laser.

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

[0066] Step S2, the bubble volume stability of the dissolved air water is obtained by using the ray intensity data, and the flocculation movement disorder of the target ultrasonic sensor at each detection time is determined by combining the ultrasonic data;

[0067] If the dissolved air water generated by the dissolved air water device is directly flowed into the flotation tank, the speed of the dissolved air water flowed into the flotation tank will be too fast and difficult to control, which will greatly damage the structure of the flocculation formed and reduce the ability of the bubbles to absorb the flocculation. Therefore, the water channel is needed to buffer the dissolved air water just output from the dissolved air water device, and to observe the stable state of the bubble diameter in the dissolved air water, and to judge the quality state of the dissolved air water before flowing into the flotation tank.

[0068] Under normal circumstances, the dissolved air water generated by the dissolved air water device contains a large amount of micro-bubbles, and because it is just produced, the bubble volume state is relatively unstable, and the bubbles will be disturbed by external force when flowing with the dissolved air water, which will increase the change of the bubble volume state, and these changes will change the diffraction of the laser rays.

[0069] Specifically, in an embodiment, referring to Figure 2 , the step S2 of obtaining the bubble volume stability of the dissolved air water by using the ray intensity data comprises:

[0070] The step S21 of taking the time corresponding to the target ray intensity greater than the preset intensity threshold value in the ray intensity data of the target diffraction angle region in the water channel as the diffraction time;

[0071] The step S22 of determining the bubble volume stability of the dissolved air water by using the diffraction time and the target ray intensity corresponding to the diffraction time.

[0072] Wherein, referring to Figure 3 , the step S22 specifically comprises:

[0073] The step S221 of calculating the diffraction direction regularity of the dissolved air water by using the total number of diffraction times of the diffraction time and the number of non-diffraction times between adjacent diffraction times;

[0074] The step S222 of calculating the diffraction intensity regularity of the dissolved air water by using the target ray intensity corresponding to each adjacent diffraction time;

[0075] The step S223 of calculating the bubble volume stability of the dissolved air water by using the diffraction direction regularity and the diffraction intensity regularity.

[0076] If the bubble volume state 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 passing 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] Taking any diffraction angle region as a target diffraction angle region, taking the time (the time corresponding to the ray intensity data detected according to a certain sampling frequency) when the ray intensity data of the same target diffraction angle region is greater than 50 (a preset intensity threshold value, which can be adjusted according to the actual situation, and the example of 50 can be a custom scale of the sensor) as the diffraction time of the same target diffraction angle region; and taking the remaining time as a non-diffraction time.

[0078] According to the diffraction time, the diffraction direction regularity A of the target diffraction angle region is calculated:

[0079]

[0080] In the formula, I represents the total number of diffraction times (the total number of diffraction times) of the same target diffraction angle region; a i,i+1 represents the number of non-diffraction times between the i th diffraction time and the i+1 th diffraction time of the same target diffraction angle region; a i+1,i+2represents the number of non-diffraction moments between the i+1th diffraction moment and the i+2th diffraction moment in the same target diffraction angle region. The greater the diffraction direction regularity A value is, the more regular the diffraction change of the laser through the dissolved air water to the same target diffraction angle region of the multi-angle detector is.

[0081] The diffraction regularity average of all target diffraction angle regions is set as the diffraction direction regularity of the dissolved air water.

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

[0083] According to the diffraction direction regularity of the dissolved air water The diffraction intensity regularity of the dissolved air water The bubble volume stability of the dissolved air water is calculated

[0084] At this point, the bubble volume stability of the dissolved air water is obtained through the above implementation process.

[0085] Based on the above various embodiments, in an embodiment, the step S2 comprises:

[0086] The straight line distance of the target ultrasonic sensor from the waterway outlet is determined, and the standard deviation of the ultrasonic data before each detection moment of the target ultrasonic sensor is determined;

[0087] The flocculent motion disorder of the target ultrasonic sensor at each detection moment is calculated by 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 partial motion state, and because the sewage containing flocculants in the air flotation tank is in a relatively static state, there is a relatively obvious environmental change between the dissolved air water and the sewage. Therefore, when the dissolved air water enters the air flotation tank from the waterway, the water environment of the micro-bubbles in the dissolved air water changes significantly, combined with the water flow impact of the dissolved air water on the sewage, the environmental pressure on the micro-bubbles in the dissolved air water changes dramatically, thereby the micro-bubbles in the dissolved air water may change, reducing the ability of the micro-bubbles to adsorb flocculants, interfering with the formation of the subsequent scum layer, and delaying the efficiency of sewage treatment.

[0089] The ultrasonic sensors installed in the air floatation tank are not at the same distance from the water channel, and from the moment the dissolved air water flows into the sewage, the micro-bubbles in the dissolved air water have begun to adsorb the flocculation in some areas of the sewage, and at the same time, other areas of the sewage begin to diffuse micro-bubbles. Therefore, for the ultrasonic sensor closer to the water channel, the ultrasonic data related to the phenomenon of bubble adsorbing flocculation is more easily disturbed by the change of micro-bubbles.

[0090] The ultrasonic sensors are sorted in order from near to far from the outlet of the water channel, and the sequence of the ultrasonic sensors is obtained.

[0091] The straight-line distance L of each ultrasonic sensor from the outlet of the water channel is counted.

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

[0093] For any detection time of the ultrasonic sensor and any ultrasonic sensor as a target ultrasonic sensor, if the target ultrasonic sensor is closer to the outlet of the dissolved air water (that is, the outlet of the water channel), the ultrasonic data detected before the current time is more chaotic, indicating that the target ultrasonic sensor is in a region where the contact between the dissolved air water and the sewage has obvious adsorption activity, and the movement track of the bubble adsorbing flocculation at the position of the target ultrasonic sensor at the current time is more chaotic. Calculate the flocculation motion disorder of the target ultrasonic sensor at each detection time:

[0094]

[0095] In the formula, D represents the flocculation motion disorder of the target ultrasonic sensor at each detection time; δ represents the standard deviation of the ultrasonic data of the target ultrasonic sensor before each detection time; and C represents the stability of the bubble volume of the dissolved air water.

[0096] Step S3, according to the flocculation response time interval of the flocculation detection time when the adjacent ultrasonic sensor first detects the flocculation, the bubble horizontal diffusion resistance of the target ultrasonic sensor is determined.

[0097] When the dissolved air water is injected into the air flotation tank, the micro-bubbles in the dissolved air water are continuously diffused to the far sewage with the water flow, and the whole is the phenomenon of far diffusion. Because the micro-bubbles in the dissolved air water begin to adsorb the flocculation in the sewage when the dissolved air water is injected into the air flotation tank, the bubbles adsorbed with flocculation show the phenomenon of floating to the water surface (the bubbles adsorbed with flocculation are relatively heavy, and the water flow kinetic energy brought by the dissolved air water (it is actually small and continuously lost) is not enough to push the bubbles adsorbed with flocculation to move horizontally obviously). As can be known from the above, when the flocculation floats upward, it will hinder a certain amount of bubbles from diffusing far away, and when the flocculation floats upward, it will affect the signal expression of the ultrasonic sensor. Therefore, the relationship between the bubbles and the environmental changes can be reflected by analyzing the ultrasonic data of the ultrasonic sensor.

[0098] Specifically, in an embodiment, referring to Figure 4 , the step S3 comprises:

[0099] Step S31, determining the ultrasonic data greater than the preset first ultrasonic intensity threshold value in the ultrasonic data as flocculation reflection data, and determining the time corresponding to the flocculation reflection data as the flocculation detection time;

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

[0101] Step S33, determining the flocculation detection time when each adjacent reference ultrasonic sensor first detects flocculation, and obtaining the flocculation response time interval between each flocculation detection time;

[0102] Step S34, calculating the bubble horizontal diffusion hindering property of the target ultrasonic sensor by using the flocculation response time intervals of all reference ultrasonic sensors.

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

[0104] As the distance of the ultrasonic sensor from the outlet of the water channel increases, the kinetic energy of the dissolved air water supporting the micro-bubbles to diffuse far away will be weaker (but not 0), and under ideal conditions, the corresponding ultrasonic sensor will detect flocculation relatively slowly:

[0105] In the ultrasonic sensor sequence mentioned above according to the distance from the outlet of the water channel, the time interval between the first flocculation detection time of each pair of adjacent ultrasonic sensors is counted and set as the flocculation response time interval t.

[0106] According to the flocculation response time interval t, the bubble level diffusion hindering property E of the arbitrary j1th ultrasonic sensor (here as the target ultrasonic sensor) is calculated j1 :

[0107]

[0108] In the formula, J j1 represents the actual number of ultrasonic sensors before the j1th ultrasonic sensor (“ultrasonic sensors before” refers to ultrasonic sensors closer to the outlet of the waterway); t j1,j+1,j represents the flocculation 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 represents the flocculation response time interval between the j+2th reference ultrasonic sensor and the j+1th reference ultrasonic sensor before the j1th ultrasonic sensor; ∏ represents a multiplication symbol, and when the subscript is less than the superscript, the case can be ignored or calculated as 1. The greater the value of the bubble level diffusion hindering property E j1 of the j1th ultrasonic sensor, the greater the hindering of the propagation of the bubbles of the air entrainment water into the sewage to the j1th ultrasonic sensor.

[0109] In addition, when the bubble level diffusion hindering property E j1 of the j1th ultrasonic sensor is greater than 1, if the number of ultrasonic sensors before is not satisfied with the preset condition, the actual number is used as the reference, and the calculation is performed according to the above calculation process.

[0110] According to the above formula and the implementation process, it needs to be explained that the preset number corresponding to the above formula is 3, that is, the three reference ultrasonic sensors adjacent to the target ultrasonic sensor are taken, and of course the preset number here can be adjusted, but generally speaking, the bubble level diffusion hindering property of the target ultrasonic sensor can be calculated and reflected by the three reference ultrasonic sensors adjacent to the target ultrasonic sensor and closer to the outlet of the waterway than the target ultrasonic sensor, which can achieve the calculation purpose.

[0111] Step S4, according to the flocculation movement disorder and the bubble level diffusion hindering property, the bubble volume destruction rate of the target ultrasonic sensor at each flocculation detection moment is determined;

[0112] Specifically, the step S4 comprises:

[0113] The flocculation movement disorder and the bubble level diffusion hindering property are multiplied to calculate the bubble volume destruction rate of the target ultrasonic sensor at each flocculation detection moment.

[0114] For any one of the flocculation detection moment of any one ultrasonic sensor, if the movement track of the bubble adsorbing flocculation generated at the position of the target ultrasonic sensor at the current flocculation detection moment is more chaotic, the farther propagation of the bubbles of the dissolved air water into the sewage is more hindered, indicating that the target ultrasonic sensor has a greater bubble volume destruction probability at the current flocculation detection moment; according to the flocculation movement disorder D and the bubble horizontal diffusion hindering E, the bubble volume destruction rate F of each ultrasonic sensor at each flocculation detection moment corresponding to the ultrasonic sensor is calculated. Each ultrasonic sensor corresponds to multiple flocculation detection moments.

[0115] At this point, the bubble volume destruction rate of each ultrasonic sensor at each flocculation detection moment of the ultrasonic sensor is obtained through the above implementation process.

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

[0117] In this embodiment, under normal circumstances, with the continuous adsorption of bubbles to flocculation, the flocculation will rise to the water surface and continuously accumulate to form a scum layer, so that the ultrasonic waves emitted by the ultrasonic sensor at a fixed interval are bounced back faster, and with the continuous increase of the thickness of the scum layer, the intensity is also increasing; but if the damage to the micro-bubbles in the dissolved air water is more serious, then the thickness of the scum layer may be repeatedly damaged and cannot be stably and continuously accumulated.

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

[0119] Step S51, determining the ultrasonic data greater than the preset first ultrasonic intensity threshold value in the ultrasonic data as the flocculation reflection data, and determining the time corresponding to the flocculation reflection data as the flocculation detection moment;

[0120] Step S52, using the target ultrasonic data sequence of the target ultrasonic sensor at its flocculation detection moment to determine the mean value of the ultrasonic data between all adjacent flocculation detection moments and the number of flocculation moments with the ultrasonic data difference less than the preset second ultrasonic intensity threshold value;

[0121] Step S53, using the time difference between adjacent flocculation detection moments, the number of flocculation moments and the mean value to calculate the ultrasonic intensity rising hindering of the target ultrasonic sensor.

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

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

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

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

[0126] According to the mean value The number N of flocculation moments, the ultrasonic intensity rising resistance H of the target ultrasonic sensor is calculated:

[0127]

[0128] In the formula, M n,n+1 represents the number of moments between the nth flocculation detection moment and the n+1th flocculation detection moment, that is, the time difference. represents the mean value of the ultrasonic data between the nth flocculation detection moment and the n+1th flocculation detection moment.

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

[0130] In an embodiment, the step S5 uses ultrasonic data to obtain the ultrasonic intensity rising resistance, and combines the bubble volume destruction rate to determine the scum layer formation stability of the target ultrasonic sensor, including:

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

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

[0133]

[0134] The smaller the scum layer formation stability K value, the more easily the formed scum layer structure (thickness) in the target ultrasonic sensor detection area is destroyed by subsequent bubble activity and flocculation after the formation of the scum layer, and the destruction source is more inclined to the unstable bubble volume caused by the improper bubble diameter.

[0135] At this point, 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 using the scum layer formation stability comprises:

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

[0138] Step S502, in the case where the number of ultrasonic sensors is greater than the preset number threshold, calculate the adjusted dissolved air pressure by using the scum layer formation stability and the initial dissolved air pressure, and adjust the bubble diameter in the dissolved air water by the adjusted dissolved air pressure.

[0139] In this embodiment, under normal circumstances, the smaller the bubble diameter generated by the dissolved air water device, the better the effect of adsorbing flocculation, but at the same time, it will consume more energy; and the smaller the scum layer formation stability calculated above, to a certain extent, indicates that the bubble adsorption effect is worse, which reflects that the bubble needs to be adjusted to a smaller diameter.

[0140] On the other hand, the actual requirement of the scum layer formation is to form a large range in the flotation tank, so if only individual areas (i.e. a single ultrasonic sensor) have unstable scum layer formation, it will not greatly affect the overall sludge-water separation phenomenon of the sewage:

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

[0142] Then according to P1, the dissolved air water device produces new dissolved air water and injects it into the flotation tank; every time the thickness of the scum layer is detected to reach 5cm (i.e. the time interval between the single emission of ultrasonic wave by the ultrasonic sensor and the reception of ultrasonic information is less than 0.01s (which can be adjusted according to actual conditions)), the scum layer is scraped out of the flotation tank by starting the scum scraper.

[0143] In addition, it should be noted that if the adjusted dissolved air water pressure exceeds the conventional specified pressure range (0.35MPa-0.5Mpa), then in order to be safe, the maximum pressure range boundary needs to be maintained for the dissolved air water pressurization.

[0144] This invention analyzes the stability of the microbubble volume and morphology within dissolved air water (DAS) before it comes into contact with wastewater containing flocculent matter in the dissolved air flotation tank, based on the intensity data of laser diffraction in the waterway. This yields the bubble volume stability of the DAS, quantifying the influence of the environment on the bubble diameter within the DAS before it flows into the wastewater, allowing for subsequent comparative analysis with analysis after the DAS has entered the wastewater. Then, based on the bubble volume stability, the invention analyzes the environmental disruption of the microbubbles after they enter wastewater containing a large amount of flocculent matter. Furthermore, it analyzes the obstacles encountered by the microbubbles in diffusing throughout the dissolved air flotation tank, thereby calculating the bubble volume stability under different ultrasonic sensors at different times. The volumetric destruction rate numerically represents the diffusion of bubbles in different areas of the wastewater as dissolved air water flows into it, connecting the environmental changes experienced by bubbles before and after the dissolved air water enters the wastewater. Based on the bubble volumetric destruction rate and the ultrasonic emission interval, the analysis examines how bubbles disrupt the scum layer already formed on the water surface during diffusion and adsorption. The stability of the scum layer formation for each ultrasonic sensor is calculated. Furthermore, the adsorption effect of bubbles is judged by the effect of scum layer formation, as well as the influence of changes in bubble diameter. This makes the pressure of bubbles generated by the dissolved air water device clearer, allowing for precise adjustment to a reasonable bubble diameter that is easier to treat wastewater, achieving better wastewater treatment results and significantly improving the wastewater purification efficiency after washing waste plastics.

[0145] Example 2:

[0146] This invention also proposes a wastewater treatment device for washing recycled plastic pellets. The wastewater treatment device can be a dissolved air water production unit, a computer, a programmable logic controller (PLC), or a combination of multiple such units for analysis and control.

[0147] like Figure 7 As shown, Figure 7 This is a schematic diagram of the hardware operating environment of the wastewater treatment equipment for cleaning recycled plastic pellets involved in the embodiments of the present invention.

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

[0149] Those skilled in the art can understand that, Figure 7 The hardware structure shown in the foregoing embodiments does not constitute a limitation on the equipment, and can include more or fewer components than those shown, or combine certain components, or different component arrangements.

[0150] Continuing to refer to Figure 7 , Figure 7 The memory 1005 as a computer readable storage medium in the foregoing embodiments can include an operation device, a user interface module, a network communication module, and a plastic recycled particle cleaning sewage treatment program.

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

[0152] The hardware structure of the plastic recycled particle cleaning sewage treatment equipment described above is used to realize the various embodiments of the plastic recycled particle cleaning sewage treatment method of the present application.

[0153] In addition, the present application also provides a plastic recycled particle cleaning sewage treatment device, please refer to Figure 8 , the plastic recycled particle cleaning sewage treatment device comprises:

[0154] The sensing data detection module A10 is used to acquire the ray intensity data of the laser diffraction of the dissolved air water in the water channel and the ultrasonic data of the ultrasonic sensor detecting the scum layer in the air flotation tank;

[0155] The bubble state analysis module A20 is configured to obtain a bubble volume stability of the dissolved air water by using the ray intensity data, determine a floc movement turbulence of the target ultrasonic sensor at each detection time based on the ultrasonic data, determine a bubble horizontal diffusion hindering of the target ultrasonic sensor based on a floc detection time interval of a floc response of adjacent ultrasonic sensors at a first time of detecting the floc, and determine a bubble volume damage rate of the target ultrasonic sensor at each floc detection time based on the floc movement turbulence and the bubble horizontal diffusion hindering.

[0156] The dissolved air adjustment control module A30 is configured to obtain an ultrasonic intensity rising hindering by using the ultrasonic data, determine a scum layer formation stability of the target ultrasonic sensor based on the bubble volume damage rate, and adjust a bubble diameter in the dissolved air water based on the scum layer formation stability.

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

[0158] determine a diffraction time as a time corresponding to a target ray intensity greater than a preset intensity threshold in ray intensity data of a target diffraction angle region in the water channel;

[0159] obtain a bubble volume stability of the dissolved air water by using the diffraction time and the target ray intensity corresponding to the diffraction time.

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

[0161] obtain a diffraction direction regularity of the dissolved air water by using a total number of diffraction times of the diffraction time and a number of non-diffraction times between adjacent diffraction times;

[0162] obtain a diffraction intensity regularity of the dissolved air water by using the target ray intensity corresponding to each of the adjacent diffraction times;

[0163] obtain the bubble volume stability of the dissolved air water by using the diffraction direction regularity and the diffraction intensity regularity.

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

[0165] determine a straight line distance of the target ultrasonic sensor from an outlet of the water channel, and determine a standard deviation of the ultrasonic data before each detection time of the target ultrasonic sensor;

[0166] obtain the floc movement turbulence of the target ultrasonic sensor at each detection time by using the bubble volume stability, the straight line distance, and the standard deviation.

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

[0168] determine the flocculation reflection data as the ultrasound data greater than the preset first ultrasound intensity threshold in the ultrasound data, and determine the flocculation detection time as the time corresponding to the flocculation reflection data;

[0169] determine 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 flocculation detection time of each adjacent reference ultrasonic sensor when the flocculation is first detected, and obtain the flocculation response time interval between the flocculation detection times of each adjacent reference ultrasonic sensor;

[0171] calculate the bubble level diffusion resistance of the target ultrasonic sensor using the flocculation response time intervals of all reference ultrasonic sensors.

[0172] Further, the bubble state analysis module A20 is further used for:

[0173] multiply the flocculation motion disorder and the bubble level diffusion resistance to calculate the bubble volume destruction rate of the target ultrasonic sensor at each flocculation detection time.

[0174] Further, the dissolved gas adjustment control module A30 is further used for:

[0175] determine the flocculation reflection data as the ultrasound data greater than the preset first ultrasound intensity threshold in the ultrasound data, and determine the flocculation detection time as the time corresponding to the flocculation reflection data;

[0176] determine the mean value of the ultrasound data between all adjacent flocculation detection times of the target ultrasonic sensor at the flocculation detection time and the number of flocculation times when the ultrasound data difference is less than the preset second ultrasound intensity threshold using the target ultrasonic data sequence of the target ultrasonic sensor at the flocculation detection time;

[0177] calculate the ultrasound intensity rise resistance of the target ultrasonic sensor using the time difference between the adjacent flocculation detection times, the number of flocculation times, and the mean value.

[0178] Further, the dissolved gas adjustment control module A30 is further used for:

[0179] the reciprocal of the product of the ultrasound intensity rise resistance and the bubble volume destruction rate as the scum layer formation stability of the target ultrasonic sensor;

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

[0181] Further, the dissolved gas adjustment control module A30 is further used for:

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

[0183] In the case where the number of ultrasonic sensors is greater than the preset number threshold, the adjusted dissolved gas pressure is calculated by using the scum layer formation stability and the initial dissolved gas pressure, and the bubble diameter in the dissolved gas water is adjusted by the adjusted dissolved gas pressure.

[0184] The specific implementation of the plastic regenerated particle cleaning sewage treatment device is basically the same as that of the above-mentioned plastic regenerated particle cleaning sewage treatment method, and will not be repeated here.

[0185] In addition, the application also provides a computer readable storage medium. The computer readable storage medium of the application stores a plastic regenerated particle cleaning sewage treatment program. When the plastic regenerated particle cleaning sewage treatment program is executed by the processor, the steps of the plastic regenerated particle cleaning sewage treatment method as described above are realized.

[0186] The method realized when the plastic regenerated particle cleaning sewage treatment program is executed can refer to each embodiment of the plastic regenerated particle cleaning sewage treatment method of the application, which will not be repeated here.

[0187] It should be noted that the above-mentioned sequence of the embodiments of the application is only for description, and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are possible or can be advantageous.

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

[0189] Those skilled in the art should understand that the embodiments of the application can be provided as a method, device, or computer program product. Therefore, the application can be in the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the application can be in the form of a computer program product implemented on one or more computer usable storage media containing computer usable program code (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.).

[0190] The above-mentioned is only the preferred embodiment of the application, and does not limit the protection scope of the application. Any equivalent structure / method transformation made according to the application concept, or direct / indirect application in other related technical fields is included in the protection scope of the application.

Claims

1. A plastic regeneration particle cleaning sewage treatment method characterized by, The method comprises: Obtaining ray intensity data of laser diffraction of dissolved air water in a water channel and ultrasonic data of a floating sludge layer detected by an ultrasonic sensor in an air flotation tank; 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 turbulence of the target ultrasonic sensor at each detection time of the flocculent; According to the flocculent response time interval between the flocculent detection time when the flocculent is first detected by the adjacent ultrasonic sensors, the bubble horizontal diffusion resistance of the target ultrasonic sensor is determined; According to the flocculent motion turbulence and the bubble horizontal diffusion resistance, the bubble volume destruction rate of the target ultrasonic sensor at each flocculent detection time is determined; Using the ultrasonic data to obtain the ultrasonic intensity rising resistance, and combining the bubble volume destruction rate to determine the floating sludge layer formation stability of the target ultrasonic sensor; and using the floating sludge layer formation stability to adjust the bubble diameter in the dissolved air water; The method for obtaining the bubble horizontal diffusion resistance of the target ultrasonic sensor comprises: determining the ultrasonic data greater than a preset first ultrasonic intensity threshold value in the ultrasonic data as flocculent reflection data, and determining the time corresponding to the flocculent reflection data as the flocculent detection time; determining a preset number of reference ultrasonic sensors adjacent to the target ultrasonic sensor and closer to the outlet of the water channel than the target ultrasonic sensor; determining the flocculent detection time when the flocculent is first detected by each of the adjacent reference ultrasonic sensors, and obtaining the flocculent response time interval between each flocculent detection time; and using the flocculent response time intervals of all the reference ultrasonic sensors to calculate the bubble horizontal diffusion resistance of the target ultrasonic sensor; The method for obtaining the ultrasonic intensity rising resistance comprises: determining the ultrasonic data greater than a preset first ultrasonic intensity threshold value in the ultrasonic data as flocculent reflection data, and determining the time corresponding to the flocculent reflection data as the flocculent detection time; using the target ultrasonic data sequence of the target ultrasonic sensor at its flocculent detection time to determine the mean value of the ultrasonic data between all adjacent flocculent detection times and the number of flocculent times with a difference in ultrasonic data less than a preset second ultrasonic intensity threshold value; and using the time difference between adjacent flocculent detection times, the number of flocculent times, and the mean value to calculate the ultrasonic intensity rising resistance of the target ultrasonic sensor; The method for adjusting the bubble diameter in the dissolved air water using the floating sludge layer formation stability comprises: determining the ultrasonic sensors with a floating sludge layer formation stability less than a preset stability threshold value and the corresponding number of ultrasonic sensors; and in the case that the number of ultrasonic sensors is greater than a preset number threshold value, using the floating sludge layer formation stability and the initial dissolved air pressure to calculate an adjusted dissolved air pressure, and adjusting the bubble diameter in the dissolved air water by the adjusted dissolved air pressure.

2. The plastic regranulate washing sewage treatment method according to claim 1, characterized in that, The method for obtaining the bubble volume stability of the dissolved air water using the ray intensity data comprises: Determining the time corresponding to the target ray intensity greater than a preset intensity threshold value in the ray intensity data of the target diffraction angle region in the water channel as the diffraction time; Using the diffraction time and the target ray intensity corresponding to the diffraction time to determine the bubble volume stability of the dissolved air water.

3. The plastic regranulate washing sewage treatment method according to claim 2, characterized in that, The method for determining the bubble volume stability of the dissolved air water using the diffraction time and the target ray intensity corresponding to the diffraction time comprises: The diffraction direction regularity of the dissolved air water is calculated by using the total number of diffraction moments and the number of non-diffraction moments between adjacent diffraction moments in the diffraction moments; The diffraction intensity regularity of the dissolved air water is calculated by using the target ray intensity corresponding to each adjacent diffraction moment; The bubble volume stability of the dissolved air water is calculated by using the diffraction direction regularity of the dissolved air water and the diffraction intensity regularity of the dissolved air water.

4. The plastic regranulate washing sewage treatment method according to claim 1, characterized in that, The bubble volume stability of the dissolved air water is obtained by using the ray intensity data, and the flocculent motion disorder of the target ultrasonic sensor at each detection moment is determined by combining the ultrasonic data, which comprises: The straight-line distance of the target ultrasonic sensor from the outlet of the water channel is determined, and the standard deviation of the ultrasonic data before each detection moment of the target ultrasonic sensor is determined; The flocculent motion disorder of the target ultrasonic sensor at each detection moment is calculated by using the bubble volume stability, the straight-line distance, and the standard deviation.

5. The plastic regranulate washing sewage treatment method according to claim 1, characterized in that, The bubble volume destruction rate of the target ultrasonic sensor at each flocculent detection moment is determined according to the flocculent motion disorder and the bubble horizontal diffusion hindering, which comprises: The bubble volume destruction rate of the target ultrasonic sensor at each flocculent detection moment is calculated by multiplying the flocculent motion disorder and the bubble horizontal diffusion hindering.

6. The plastic regranulate washing sewage treatment method according to claim 1, characterized in that, The ultrasonic intensity rising hindering is obtained by using the ultrasonic data, and the scum layer formation stability of the target ultrasonic sensor is determined by combining the bubble volume destruction rate, which comprises: The reciprocal of the product of the ultrasonic intensity rising hindering and the bubble volume destruction rate is taken as the scum layer formation stability of the target ultrasonic sensor; The scum layer formation stability is positively correlated with the bubble diameter in the adjusted dissolved air water.

7. A plastic regranulate cleaning sewage treatment device, characterized by The device is used to implement the plastic regenerative particle cleaning sewage treatment method according to any one of claims 1-6; the device comprises: A sensing data detection module is configured to acquire ray intensity data of laser diffraction of dissolved air water in a water channel and ultrasonic data of a scum layer detected by an ultrasonic sensor in a flotation tank; A bubble state analysis module is configured to obtain the bubble volume stability of the dissolved air water by using the ray intensity data, determine the flocculent motion disorder of the target ultrasonic sensor at each detection moment by combining the ultrasonic data, determine the bubble horizontal diffusion hindering of the target ultrasonic sensor according to the flocculent response time interval of the flocculent detection moment at which the flocculent is first detected by the adjacent ultrasonic sensor, and determine the bubble volume destruction rate of the target ultrasonic sensor at each flocculent detection moment according to the flocculent motion disorder and the bubble horizontal diffusion hindering. The bubble level diffusion resistance obtaining method of the target ultrasonic sensor is as follows: determining ultrasonic data greater than a preset first ultrasonic intensity threshold in 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; determining flocculent detection times at which the adjacent reference ultrasonic sensors first detect flocculent, to obtain flocculent response time intervals between the respective flocculent detection times; and calculating the bubble level diffusion resistance of the target ultrasonic sensor by using the flocculent response time intervals of all the reference ultrasonic sensors. The dissolved air adjustment control module is configured to obtain an ultrasonic intensity rise resistance by using the ultrasonic data, and determine a scum layer formation stability of the target ultrasonic sensor in combination with the bubble volume destruction rate; and adjust a bubble diameter in the dissolved air water by using the scum layer formation stability. The ultrasonic intensity rise resistance obtaining method is as follows: determining ultrasonic data greater than a preset first ultrasonic intensity threshold in ultrasonic data as flocculent reflection data, and determining a time corresponding to the flocculent reflection data as a flocculent detection time; determining a mean value of ultrasonic data between all adjacent flocculent detection times of the target ultrasonic sensor at the flocculent detection time of the target ultrasonic sensor, and a number of flocculent times at which ultrasonic data differences are less than a preset second ultrasonic intensity threshold; and calculating the ultrasonic intensity rise resistance of the target ultrasonic sensor by using a time difference between the adjacent flocculent detection times, the number of flocculent times, and the mean value. The method for adjusting the bubble diameter in the dissolved air water by using the scum layer formation stability is as follows: determining an ultrasonic sensor with a scum layer formation stability less than a preset stability threshold and a corresponding number of ultrasonic sensors; and in a case where the number of ultrasonic sensors is greater than a preset number threshold, calculating an adjusted dissolved air pressure by using the scum layer formation stability and an initial dissolved air pressure, and adjusting the bubble diameter in the dissolved air water by using the adjusted dissolved air pressure.

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