Treatment agent, treatment device and treatment method for oily wastewater

Abstract

The invention relates to the technical field of wastewater treatment, and discloses a treating agent for oily wastewater, a treating device and a treating method.The treating agent comprises the following steps that S1, the oily wastewater enters the treating device firstly, S2, the wastewater is lifted to a reaction tank through a pump, S3, the wastewater added with the agent enters an air flotation system, and S4, the wastewater enters the air flotation system. S4, enabling the clear liquid to enter a subsequent sedimentation tank or a filtering system under the control of the digital twinborn model, and judging whether an auxiliary flocculation or filtering step needs to be added or not by the AI system according to a simulation result of the twinborn model in combination with equipment operation parameters and real-time water quality data; s5, part of the wastewater enters an online water quality deep analysis module, and residual indexes are monitored. The self-adaptive AI control system is combined with a decision tree algorithm to analyze historical water quality data and recommend a treatment agent, so that a treatment strategy is automatically adjusted according to real-time water quality change in a wastewater treatment process, and an accurate and efficient wastewater treatment effect is obtained.

Description

Technical Field

[0001] The present invention relates to the technical field of wastewater treatment, and specifically to a treatment agent, treatment device and treatment method for oily wastewater. Background Art

[0002] In the current field of wastewater treatment, the treatment technology for oily wastewater has gradually developed into a comprehensive technology integrating multiple physical, chemical and biological methods. Traditional wastewater treatment systems usually rely on fixed process parameters and treatment agent dosage, and these methods can achieve the treatment purpose to a certain extent.

[0003] However, with the changes in wastewater quality and pollution components, it is often difficult to adapt to different wastewater treatment requirements, thus affecting the treatment effect and efficiency. In addition, traditional treatment methods often require manual operation, which has problems such as response lag and complex operation, resulting in increased risks of resource waste and environmental pollution during the treatment process. Summary of the Invention

[0004] Aiming at the deficiencies of the prior art, the present invention provides a treatment agent, treatment device and treatment method for oily wastewater, which solves the problems that traditional wastewater treatment methods rely on fixed process flows and chemical agent usage amounts, cannot be adjusted in real time according to the specific water quality changes of wastewater, and when the wastewater quality fluctuates, the treatment effect is unstable, resulting in the wastewater not being able to fully meet the discharge standards.

[0005] To achieve the above purposes, the present invention is realized through the following technical solutions:

[0006] A treatment method for oily wastewater includes the following steps:

[0007] S1. First, the oily wastewater enters the interior of the treatment device, and the wastewater is preliminarily filtered by the filtration part, and at the same time, the water quality condition is preliminarily judged through real-time monitoring by sensors;

[0008] S2. Then the wastewater is pumped to the reaction tank. Combining the real-time monitoring data, the adaptive AI control system automatically recommends and adds appropriate treatment agents according to the parameters detected by the waste sensors. The treatment agents are mixed in proportion by the dynamic dosing system and then added to the wastewater in sequence to complete the preliminary reaction;

[0009] S3. Then the wastewater after the addition of the agent enters the air flotation system. In the air flotation tank, high-efficiency microbubbles are released to promote the floating of emulsified oil and flocculated flocs to form scum, which is regularly discharged by an automatic scum scraper, and the clear liquid flows to the subsequent unit;

[0010] S4. The clear liquid enters the subsequent sedimentation tank or filtration system controlled by the digital twin model. The AI system judges whether additional auxiliary flocculation or filtration steps are required according to the simulation results of the twin model combined with the equipment operation parameters and real-time water quality data;

[0011] S5. After the water is discharged, part of the wastewater enters the on-line in-depth water quality analysis module to monitor the residual indicators. The system dynamically predicts the future water quality trend through the AI prediction model, and combines the simulation results of the twin system to provide real-time feedback to the automatic control system, continuously optimizing the subsequent chemical dosing strategy.

[0012] Preferably, in S1, the sensor monitoring includes oil concentration, pH value, and flow rate. The filtration part includes a grille or a coarse sieve. The preliminary filtration is used to remove large particle impurities. The aperture of the grille or coarse sieve is 20 - 30 microns, which is used to intercept oil droplets and solid impurities in the wastewater with a particle size larger than this size. If the grille or coarse sieve uses sand filtration, the filter medium used is quartz sand, with a particle size range of 0.5 - 1.2 mm, and the thickness of the sand filtration layer is 50 cm. The sensor uses a multi-parameter water quality sensor to simultaneously monitor at least 5 indicators such as the turbidity, conductivity, and dissolved oxygen of the wastewater, and collects data every 5 - 10 minutes to preliminarily judge the water quality condition.

[0013] Preferably, in S2, the preliminary reaction includes demulsification and flocculation reactions. The adaptive AI control system uses the decision tree algorithm to analyze no less than 1000 groups of historical water quality data and corresponding treatment effect data in the past 3 years to construct a decision tree model to recommend treatment agents. The dynamic chemical dosing system uses a proportional pump for chemical mixing. According to the recommendation results of the AI system, the treatment agents are mixed in a ratio of 1:3:5 and then added to the wastewater. At the initial stage of adding the treatment agent, the stirring speed of the treatment device is set at 100 revolutions per minute to promote the rapid mixing of the treatment agent and the wastewater, and the stirring time lasts for 15 minutes.

[0014] Preferably, in S3, the air flotation system adopts the dissolved air flotation method and the aeration flotation method. The pressure of the dissolved air tank in the dissolved air flotation method is maintained at 0.4 MPa, and the reflux ratio of the dissolved air water is 25 - 30%. The aeration flotation method uses a microporous aerator with an aperture of 0.5 mm, and the aeration volume per cubic meter of wastewater per minute is 10 liters. The slag scraping frequency of the automatic slag scraper is automatically adjusted according to the accumulation thickness of the floating slag in the air flotation tank. When the floating slag thickness reaches 5 - 8 cm, the automatic slag scraper starts to perform the slag scraping operation, and the slag scraping speed of the slag scraper is 0.2 - 0.4 m / min.

[0015] Preferably, in S4, the equipment operation parameters include the stirring speed of the reaction tank, the head of the pump, and the pressure parameters of the air flotation system. The twin model is constructed by a modeling method combining multiple regression and neural network. The twin model updates the real-time data every 30 minutes during operation. When the AI system determines that additional treatment agent needs to be added, the dosage of the treatment agent is 5 grams per cubic meter of wastewater, and the additional filtration step uses a filter element with a precision of 5 - 10 microns for filtration.

[0016] Preferably, in S5, the residual indexes include COD, oil content, and pH. The AI prediction model includes LSTM, and the chemical dosing strategy is used to gradually achieve closed-loop control of self-learning, self-regulation, and self-optimization.

[0017] A treatment agent for oily wastewater includes a treatment agent and auxiliary additives. The treatment agent includes moringa extract, ginger extract, phenyl salicylate, polyacrylamide, polyethyleneimine, carboxymethyl chitosan, polyaluminum ferric sulfate, calcium aluminate, diatomite, zeolite, bentonite, straw powder, sodium borate, and ethylenediaminetetra(methylenephosphonic) acid. The auxiliary additives include sodium dodecylbenzenesulfonate, ethylenediaminetetraacetic acid, xanthan gum, polydimethylsiloxane, calcium chloride, and composite oxidant.

[0018] Preferably, the amounts are as follows: moringa extract: 15 - 20 parts, ginger extract: 8 - 12 parts, phenyl salicylate: 0.5 - 1 part, polyacrylamide: 20 - 25 parts, polyethyleneimine: 12 - 15 parts, carboxymethyl chitosan: 5 - 8 parts, polyaluminum ferric sulfate: 25 - 30 parts, calcium aluminate: 6 - 9 parts, diatomite: 20 - 25 parts, zeolite: 3 - 7 parts, bentonite: 4 - 6 parts, straw powder: 30 - 35 parts, sodium borate: 3 - 5 parts, ethylenediaminetetra(methylenephosphonic) acid: 10 - 12 parts. The amounts of the auxiliary additives are: sodium dodecylbenzenesulfonate 1 - 3 parts, ethylenediaminetetraacetic acid 0.5 - 1 part, xanthan gum 0.5 - 1 part, polydimethylsiloxane 0.1 - 0.5 part, calcium chloride 2 - 4 parts, and composite oxidant 0.5 - 1 part.

[0019] A treatment device for oily wastewater includes a pretreatment tank. The left inner wall of the pretreatment tank is fixedly connected with a pressing block. A filter screen is slidably connected to the inner wall of the pretreatment tank. An inclined rod is provided inside the pressing block, and the inner wall of the filter screen is slidably connected inside the inclined rod. A clamping shell is slidably connected to the outer wall of the filter screen, and the outer wall of the clamping shell is fixedly connected to the inner wall of the pretreatment tank. A pressing block is slidably connected to the inner wall of the clamping shell. An inclined rod is fixedly connected to the upper surface of the pressing block, and a control column is slidably connected to the outer wall of the inclined rod. A first insertion rod is fixedly connected to the outer wall of the control column, and the outer wall of the first insertion rod is slidably connected to the inner wall of the clamping shell. A spring is fixedly connected to the upper surface of the pressing block, and the top end of the spring is fixedly connected to the inner top wall of the clamping shell. The outer wall of the first insertion rod is slidably connected to the inner wall of the filter screen.

[0020] The outer wall of the pretreatment tank is fixedly connected with a driving housing, the outer wall of the driving housing is fixedly connected with a motor, the output end of the motor is fixedly connected with a threaded rod, the outer wall of the threaded rod is threadedly connected with a moving block, the outer wall of the moving block is slidably connected to the inner wall of the driving housing, the outer wall of the moving block is fixedly connected with a connecting block, the outer wall of the connecting block is rotatably provided with an electric push rod, the output end of the electric push rod is fixedly connected with a base, the upper surface of the base is fixedly connected with a first connecting rod, the inner wall of the first connecting rod is fixedly connected with a rotating shaft, the outer wall of the rotating shaft is rotatably connected with a second connecting rod, the inner wall of the second connecting rod is rotatably connected with a second insertion rod, the outer wall of the second insertion rod is rotatably connected with a fixing block, the lower surface of the fixing block is fixedly connected to the outer wall of the moving block, and the outer wall of the first connecting rod is rotatably connected to the inner wall of the fixing block.

[0021] The present invention provides a treatment agent, a treatment device and a treatment method for oily wastewater. It has the following

[0022] Beneficial effects:

[0023] 1. Through the adaptive AI control system combined with the decision tree algorithm, the present invention analyzes historical water quality data and recommends treatment agents, realizing the automatic adjustment of treatment strategies according to real-time water quality changes during the wastewater treatment process, and obtaining accurate and efficient wastewater treatment effects.

[0024] 2. By combining dissolved air flotation and aeration flotation methods, and combining microbubble technology and an automatic slag scraper, the present invention realizes the efficient separation and floating of emulsified oil and flocs in wastewater, obtaining the effects of automatic removal of floating slag and water quality purification.

[0025] 3. Through the digital twin model combined with multiple regression and neural network technologies, the present invention real-time simulates the wastewater treatment process, realizes the automatic optimization of treatment parameters and dosing strategies according to real-time data in the wastewater treatment equipment, and obtains the effects of precise control and continuous optimization.

[0026] 4. Through the AI prediction model combined with real-time monitoring and residual index analysis, the present invention realizes self-learning, self-regulation and self-optimization closed-loop control during the wastewater treatment process, and obtains stable, efficient and environmentally friendly effects during the wastewater treatment process. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 is a method flow chart of a treatment method for oily wastewater of the present invention;

[0028] Figure 2 is a partial schematic view of the pretreatment tank of a treatment device for oily wastewater of the present invention;

[0029] Figure 3 is a partial schematic view of the filter screen of a treatment device for oily wastewater of the present invention;

[0030] Figure 4 This is a partial schematic diagram of the jam of a treatment device for oily wastewater according to the present invention;

[0031] Figure 5 This is a partial schematic diagram of the drive housing of a treatment device for oily wastewater according to the present invention;

[0032] Figure 6 This is a partial schematic diagram of the first connecting rod of a treatment device for oily wastewater according to the present invention.

[0033] Among them, 1. Pretreatment tank; 2. Filter screen; 3. Pressing block; 4. Inclined rod; 5. Control column; 6. Spring; 7. First plug rod; 8. Jam; 9. Drive housing; 10. Motor; 11. Moving block; 12. Connecting block; 13. Electric push rod; 14. Base; 15. First connecting rod; 16. Rotating shaft; 17. Second connecting rod; 18. Fixed block; 19. Second plug rod. Specific embodiments

[0034] Next, the technical solutions of the present invention will be clearly and completely described in conjunction with the accompanying drawings of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0035] Please refer to the attached Figure 1 , an embodiment of the present invention provides a method for treating oily wastewater, including the following steps:

[0036] S1. First, the oily wastewater enters the interior of the treatment device, and the wastewater is preliminarily filtered through the filtration part. At the same time, the water quality condition is preliminarily judged through real-time monitoring by the sensor;

[0037] S2. Then the wastewater is pumped to the reaction tank. Combining the real-time monitoring data, the adaptive AI control system automatically recommends and adds appropriate treatment agents according to the parameters detected by the waste sensor. The treatment agents are mixed in proportion through the dynamic dosing system and then added to the wastewater in sequence to complete the preliminary reaction;

[0038] S3. Then the wastewater after the addition of the agent enters the air flotation system. In the air flotation tank, microbubbles are efficiently released to promote the floating of emulsified oil and flocculated flocs to form scum, which is regularly discharged by the automatic scum scraper, and the clear liquid flows to the subsequent unit;

[0039] S4. The clear liquid enters the subsequent sedimentation tank or filtration system controlled by the digital twin model. The AI system judges whether additional auxiliary flocculation or filtration steps are required according to the simulation results of the twin model combined with the equipment operation parameters and real-time water quality data;

[0040] S5. After the water is discharged, part of the wastewater enters the on-line in-depth water quality analysis module to monitor the residual indicators. The system dynamically predicts the future water quality trend through the AI prediction model, and combines the simulation results of the twin system to provide real-time feedback to the automatic control system, continuously optimizing the subsequent chemical dosing strategy.

[0041] In S1, the sensor monitoring includes oil concentration, pH value, and flow rate. The filtration part includes a grille or a coarse screen. The preliminary filtration is used to remove large particle impurities. The aperture of the grille or coarse screen is 20 - 30 microns, which is used to intercept oil droplets and solid impurities in the wastewater with a particle size larger than this size. If sand filtration is used for the grille or coarse screen, the filter material used is quartz sand, with a particle size range of 0.5 - 1.2 mm, and the thickness of the sand filtration layer is 50 cm. The sensor uses a multi-parameter water quality sensor to simultaneously monitor at least 5 indicators such as the turbidity, conductivity, and dissolved oxygen of the wastewater, and data is collected every 5 - 10 minutes to preliminarily judge the water quality status.

[0042] Specifically, before the wastewater enters the treatment system, it is first monitored in real time by multiple sensors. The monitoring content includes but is not limited to key parameters such as the oil concentration, pH value, and flow rate of the wastewater. Specifically, the sensor is used to monitor the oil concentration in the wastewater, which can be detected by optical method or electrochemical method to ensure the accuracy and stability of the monitoring. At the same time, the monitoring of the pH value ensures the chemical stability of the wastewater during the treatment process, avoiding adverse effects caused by pH value fluctuations on subsequent treatment. The flow rate monitoring is used to track the inflow of wastewater in real time, ensuring that each treatment link can be adjusted according to the flow rate to ensure the treatment efficiency. All data collection is completed by a multi-parameter water quality sensor, which can simultaneously monitor at least 5 water quality parameters, including turbidity, conductivity, dissolved oxygen, temperature, etc., to comprehensively evaluate the water quality of the wastewater. The sensor collects data every 5 to 10 minutes and transmits the monitoring results to the system control module in real time, which is used to evaluate the water quality of the wastewater and provide a decision-making basis for subsequent treatment. After the data is fed back to the system, the operation parameters of the relevant treatment units are automatically adjusted to ensure that the water quality meets the treatment requirements.

[0043] In S2, the preliminary reaction includes demulsification and flocculation reactions. The adaptive AI control system uses the decision tree algorithm to analyze no less than 1000 groups of historical water quality data and corresponding treatment effect data in the past 3 years to construct a decision tree model to recommend treatment agents. The dynamic chemical dosing system uses a proportional pump for chemical mixing. According to the recommendation results of the AI system, the treatment agents are mixed in a ratio of 1:3:5 and then added to the wastewater. During the initial stage of adding the treatment agent in the treatment device, the stirring speed is set at 100 revolutions per minute to promote the rapid mixing of the treatment agent and the wastewater, and the stirring time lasts for 15 minutes.

[0044] Specifically, the first process for the oily wastewater to enter the system is the preliminary filtration section. The function of preliminary filtration is to remove large particulate impurities in the wastewater, such as suspended solids, coarse oil droplets, etc. To achieve this goal, a grille or coarse sieve is used to filter the wastewater. The aperture of the grille or coarse sieve is set to 20 to 30 microns, which can effectively intercept oil droplets and solid impurities with a particle size larger than this size, preventing them from entering the subsequent treatment units and ensuring the high efficiency of subsequent treatment. If sand filtration is adopted, quartz sand is selected as the filter medium, and its particle size range is set to 0.5 to 1.2 mm. This particle size can effectively intercept impurities in the wastewater larger than this particle size. The thickness of the sand filtration layer is set to 50 cm to ensure a long filtration contact time, enhance the contact effect between the wastewater and the sand filter medium, and further remove impurities in the water.

[0045] In S3, the air flotation system adopts the dissolved air flotation method and the aeration flotation method. The pressure of the dissolved air tank in the dissolved air flotation method is maintained at 0.4 MPa, and the reflux ratio of the dissolved air water is 25 - 30%. The aeration flotation method uses a microporous aerator with an aperture of 0.5 mm. The aeration volume per cubic meter of wastewater per minute is 10 L. The scraping frequency of the automatic slag scraper is automatically adjusted according to the accumulation thickness of the floating slag in the air flotation tank. When the floating slag thickness reaches 5 - 8 cm, the automatic slag scraper starts to perform the slag scraping operation, and the scraping speed of the slag scraper is 0.2 - 0.4 m / min.

[0046] Specifically, the wastewater after preliminary filtration enters the subsequent treatment units for oil-water separation and deep purification treatment. According to the real-time data feedback of the wastewater, through an automatic adjustment system, the most suitable flocculant and demulsifier are selected and added to the wastewater through an automatic dosing system. These agents promote the aggregation and sedimentation of oil droplets through demulsification and flocculation effects, thereby effectively removing the oil content and suspended solids in the wastewater. After the flocculation reaction, the wastewater passes through the air flotation tank and sedimentation tank to further separate the oil slag and solid impurities. Through precise on-line water quality monitoring, the system can adjust the dosing amount and type of the agents in real time to ensure the optimization of the oil-water separation effect.

[0047] In S4, the equipment operation parameters include the stirring speed of the reaction tank, the head of the pump, and the pressure parameters of the air flotation system. The twin model is constructed by a modeling method combining multiple regression and neural network. The real-time data is updated every 30 minutes when the twin model runs. When the AI system determines that a treatment agent needs to be added, the dosing amount of the treatment agent is 5 g per cubic meter of wastewater. The additional filtration step uses a filter element with a precision of 5 - 10 microns for filtration.

[0048] Specifically, after preliminary treatment and oil-water separation, the wastewater enters the advanced water quality purification unit. At this stage, composite flocculants, filtration materials, etc. are used to further remove trace pollutants in the water, especially effectively remove difficult-to-remove oil stains and heavy metal ions. According to the specific water quality data of the wastewater, the system automatically switches different purification methods, such as activated carbon adsorption, nanofiltration membrane filtration, etc., to ensure that the water quality meets the discharge standards.

[0049] In S5, the residual indicators include COD, oil content, pH, the AI prediction model includes LSTM, and the dosing strategy is used to gradually achieve self-learning, self-regulation, and self-optimization closed-loop control.

[0050] Specifically, during the entire wastewater treatment process, all operations are managed by an integrated automated control system. Through Internet of Things technology, the system can obtain and analyze data from various sensors in real time, and automatically adjust the working states of each treatment unit, including key parameters such as chemical dosing amount, reaction tank temperature, and air flotation tank bubble generation amount. The control system is optimized using intelligent algorithms, can predict the treatment trend of the wastewater based on real-time data, and adjust the process flow in advance to ensure the stability and efficiency of wastewater treatment. In addition, the system also has a remote monitoring function, can perform remote diagnosis and control through the cloud platform, and ensure that the equipment can operate efficiently under any circumstances.

[0051] A treatment agent for oily wastewater, including a treatment agent and auxiliary additives. The treatment agent includes moringa extract, ginger extract, phenyl salicylate, polyacrylamide, polyethyleneimine, carboxymethyl chitosan, polyaluminum ferric sulfate, calcium aluminate, diatomite, zeolite, bentonite, straw powder, sodium borate, ethylenediaminetetra(methylenephosphonic acid), and the auxiliary additives include sodium dodecylbenzenesulfonate, ethylenediaminetetraacetic acid, xanthan gum, polydimethylsiloxane, calcium chloride, and composite oxidant.

[0052] The usage amount of the treatment agent is: moringa extract: 15 - 20 parts, ginger extract: 8 - 12 parts, phenyl salicylate: 0.5 - 1 part, polyacrylamide: 20 - 25 parts, polyethyleneimine: 12 - 15 parts, carboxymethyl chitosan: 5 - 8 parts, polyaluminum ferric sulfate: 25 - 30 parts, calcium aluminate: 6 - 9 parts, diatomite: 20 - 25 parts, zeolite: 3 - 7 parts, bentonite: 4 - 6 parts, straw powder: 30 - 35 parts, sodium borate: 3 - 5 parts, ethylenediaminetetra(methylenephosphonic acid): 10 - 12 parts, and the usage amount of the auxiliary additives is: sodium dodecylbenzenesulfonate 1 - 3 parts, ethylenediaminetetraacetic acid 0.5 - 1 part, xanthan gum 0.5 - 1 part, polydimethylsiloxane 0.1 - 0.5 part, calcium chloride 2 - 4 parts, and composite oxidant 0.5 - 1 part.

[0053] Specifically, Moringa oleifera has a natural demulsification function, which can effectively break the oil-water emulsion layer and promote the aggregation and separation of oil droplets. The natural antioxidant components it is rich in can also improve the stability of the treatment agent and reduce the degradation loss during the treatment process;

[0054] Ginger extract can not only enhance the oil-water separation effect but also has certain antibacterial properties, which can inhibit the growth of microorganisms during the treatment process and reduce secondary pollution;

[0055] Phenyl salicylate can enhance the stability of the treatment agent and improve the oil-water separation effect. Its antioxidant property can effectively prevent the re-emulsification of oil substances in the wastewater and ensure the effectiveness of the flocculation reaction;

[0056] As a kind of high molecular flocculant, polyacrylamide has excellent flocculation performance, which can aggregate oil droplets and suspended solids in water to form larger flocs and promote sedimentation;

[0057] Polyethyleneimine is a high molecular compound with good hydrophilicity. It can further enhance the aggregation of oil droplets and suspended matter through electrostatic interaction and improve the overall flocculation effect at the same time;

[0058] Carboxymethyl chitosan is a natural polymer with excellent water solubility and flocculation effect. It can play a synergistic role in wastewater treatment and further enhance the oil-water separation effect;

[0059] Polymeric ferric sulfate-aluminum is a commonly used inorganic flocculant, which can effectively reduce oil, suspended solids and heavy metal ions in water. Its strong flocculation effect can significantly improve water quality;

[0060] Calcium aluminate can increase the reaction rate of the coagulation reaction and further promote the rapid sedimentation of oil droplets and solid particles in the wastewater;

[0061] Diatomite is a natural porous material with good adsorption property. It can effectively adsorb oil substances, heavy metals and other pollutants in the wastewater and play a further purification role;

[0062] Zeolite has strong adsorption performance and can remove some dissolved oil and organic pollutants in the wastewater, improving the overall oil-water separation effect through physical adsorption;

[0063] Bentonite can improve the sedimentation effect of suspended matter in the wastewater, strengthen the removal of pollutants through adsorption and flocculation, and enhance the water purification effect;

[0064] Straw powder is a cheap and biodegradable natural material. Its porous structure has good adsorption performance, which can enhance the adsorption and removal effect of oil droplets in the wastewater and reduce costs at the same time;

[0065] Sodium borate can improve the stability during the flocculation process, ensure the sedimentation rate of flocs in water, and improve the overall treatment efficiency;

[0066] Ethylenediaminetetramethylenephosphonic acid can effectively capture metal ions in wastewater, prevent the interference of metal ions on the flocculation reaction, and improve the comprehensive effect of water purification at the same time;

[0067] The push rod auxiliary agent sodium dodecylbenzenesulfonate is a surfactant that can further demulsify the oil droplets in wastewater, promote the oil-water separation process, and improve the removal rate of oil substances;

[0068] As a chelating agent, ethylenediaminetetraacetic acid can capture metal ions in water, prevent metal ions from reacting adversely with the components in the treatment agent, and ensure the stability of the water treatment effect;

[0069] Xanthan gum, as a natural thickener, can enhance the fluidity of the treatment agent, make it evenly distributed in water, extend the contact time between the agent and pollutants, and improve the effect of the flocculation reaction;

[0070] Polydimethylsiloxane, as an antifoaming agent, can effectively inhibit the foam generated during the oil-water separation process, and avoid equipment blockage or incomplete reaction caused by excessive foam;

[0071] Calcium chloride, as a precipitant, can promote the rapid sedimentation of flocs, thereby improving the efficiency of oil-water separation;

[0072] The composite oxidant can effectively degrade organic pollutants in wastewater, especially refractory oil substances. While improving the wastewater treatment effect, it reduces the dosage of the agent, lowers the treatment cost, and can achieve the best oil-water separation effect at different treatment stages. Each component in the treatment agent can play a synergistic role, and through multiple mechanisms such as physical adsorption, chemical flocculation, and biodegradation, it can effectively remove oil droplets, suspended solids, and other pollutants in wastewater. The addition of auxiliary agents further enhances the stability, fluidity, and defoaming ability of the treatment agent, making the wastewater treatment process more efficient and stable. Through this combination, excellent wastewater treatment effects can be achieved with a lower dosage of the agent, while having good economy and environmental protection.

[0073] Please refer to the appendix Figure 2 - Appendix Figure 4, An oil-containing wastewater treatment device includes a pretreatment tank 1. A pressing block 3 is fixedly connected to the left inner wall of the pretreatment tank 1. A filter screen 2 is slidably connected to the inner wall of the pretreatment tank 1. An inclined rod 4 is provided inside the pressing block 3. The inner wall of the filter screen 2 is slidably connected inside the inclined rod 4. A clamping shell 8 is slidably connected to the outer wall of the filter screen 2. The outer wall of the clamping shell 8 is fixedly connected to the inner wall of the pretreatment tank 1. The inner wall of the clamping shell 8 is slidably connected to the pressing block 3. The upper surface of the pressing block 3 is fixedly connected to the inclined rod 4. A control column 5 is slidably connected to the outer wall of the inclined rod 4. A first insertion rod 7 is fixedly connected to the outer wall of the control column 5. The outer wall of the first insertion rod 7 is slidably connected inside the clamping shell 8. The upper surface of the pressing block 3 is fixedly connected to a spring 6. The top end of the spring 6 is fixedly connected to the inner top wall of the clamping shell 8. The outer wall of the first insertion rod 7 is slidably connected to the inner wall of the filter screen 2.

[0074] Specifically, when the pressing block 3 is pressed to compress the electric spring 6, the control column 5 and the first insertion rod 7 are retracted through the inclined rod 4, so that the filter screen 2 can be quickly installed and disassembled during use. When the filter screen 2 slides into the inner wall of the pretreatment tank 1 during use, it plays a limiting effect during the installation process. When the filter screen 2 slides into the inclined rod 4 provided in the pressing block 3, it plays an auxiliary supporting effect on the filter screen 2 during use, thus improving the stability of the filter screen while playing a supporting effect on the filter screen during use.

[0075] Please refer to the attached Figure 5 - attached Figure 6 , The outer wall of the pretreatment tank 1 is fixedly connected to a driving shell 9. The outer wall of the driving shell 9 is fixedly connected to a motor 10. The output end of the motor 10 is fixedly connected to a threaded rod. A moving block 11 is threadedly connected to the outer wall of the threaded rod. The outer wall of the moving block 11 is slidably connected to the inner wall of the driving shell 9. A connecting block 12 is fixedly connected to the outer wall of the moving block 11. An electric push rod 13 is rotatably provided on the outer wall of the connecting block 12. The output end of the electric push rod 13 is fixedly connected to a base 14. A first connecting rod 15 is fixedly connected to the upper surface of the base 14. A rotating shaft 16 is fixedly connected to the inner wall of the first connecting rod 15. A second connecting rod 17 is rotatably connected to the outer wall of the rotating shaft 16. A second insertion rod 19 is rotatably connected to the inner wall of the second connecting rod 17. The outer wall of the second insertion rod 19 is rotatably connected to a fixing block 18. The lower surface of the fixing block 18 is fixedly connected to the outer wall of the moving block 11. The outer wall of the first connecting rod 15 is rotatably connected to the inner wall of the fixing block 18.

[0076] Specifically, it rises through the electric push rod 13, the electric base 14, and the first connecting rod 15. During the rising process, the electric push rod 13 can be finely adjusted by rotating on the connecting block 12. Thus, during use, the electric first connecting rod 15 drives the rotating shaft 16 to drive the second connecting rod 17 to press down. During use, the first connecting rod 15 is limited by the fixing block 18, further ensuring the stability of the device during use. When the first connecting rod 15 drives the second connecting rod 17 and the second insertion rod 19 to press down, the second insertion rod 19 is used to insert into the cleaning rod, and the floating foam or oil residue on the surface can be removed. During use, due to the different angles at which the first connecting rod 15 drives the second insertion rod 19 to press down upward, it can achieve the effect of cleaning the air explosion tank during the automatic cleaning process. By continuing to press down, the cleaning rod can be driven to send the cleaning plate above the filter screen 2, thereby achieving the effect of cleaning the large impurities filtered on the upper surface of the filter screen 2. During use, when the motor 10 drives the threaded rod to drive the moving block 11 to slide inside the drive housing 9, it achieves the effect of automatic cleaning.

[0077] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A treatment method for oily wastewater, characterized in that, It includes the following steps: S1. First, the oily wastewater enters the interior of the treatment device. The wastewater is preliminarily filtered by the filtration part, and at the same time, it is monitored in real time by sensors to preliminarily judge the water quality status; S2. Then the wastewater is pumped to the reaction tank. Combining the real-time monitoring data, the adaptive AI control system automatically recommends and adds appropriate treatment agents according to the parameters detected by the waste sensors. The treatment agents are mixed in proportion by the dynamic dosing system and then added to the wastewater in sequence to complete the preliminary reaction; S3. Then the wastewater after the addition of the agent enters the air flotation system. In the air flotation tank, microbubbles are efficiently released to promote the floating of emulsified oil and flocculated flocs to form scum, which is regularly discharged by an automatic scum scraper, and the clear liquid flows to the subsequent unit; S4. The clear liquid enters the subsequent sedimentation tank or filtration system controlled by the digital twin model. The AI system judges whether additional auxiliary flocculation or filtration steps are required according to the simulation results of the twin model combined with the equipment operation parameters and real-time water quality data; S5. After the water outlet, part of the wastewater enters the on-line in-depth water quality analysis module to monitor the residual indicators. The system dynamically predicts the future water quality trend through the AI prediction model, and combines the simulation results of the twin system to feedback to the automatic control system in real time to continuously optimize the subsequent dosing strategy.

2. The treatment method for oily wastewater according to claim 1, wherein: In S1, the sensor monitoring includes oil content, pH value, and flow rate. The filtration part includes a grille or a coarse screen. The preliminary filtration is used to remove large particle impurities. The aperture of the grille or coarse screen is 20-30 microns, which is used to intercept oil droplets and solid impurities in the wastewater with a particle size larger than this size. If the grille or coarse screen uses sand filtration, the filter material used is quartz sand, and its particle size range is 0.5-1.2 mm, and the thickness of the sand filtration layer is 50 cm. The sensor uses a multi-parameter water quality sensor to simultaneously monitor at least 5 indicators such as the turbidity, conductivity, and dissolved oxygen of the wastewater, and collects data every 5-10 minutes to preliminarily judge the water quality status.

3. A treatment method for oily wastewater according to claim 1, characterized in that: In S2, the preliminary reaction includes demulsification and flocculation reactions. The adaptive AI control system uses the decision tree algorithm to analyze no less than 1000 groups of historical water quality data and corresponding treatment effect data in the past 3 years to construct a decision tree model to recommend treatment agents. The dynamic dosing system uses a proportional pump for agent mixing. According to the recommendation results of the AI system, the treatment agents are mixed in a ratio of 1:3:5 and then added to the wastewater. The stirring speed of the treatment device is set to 100 revolutions per minute at the initial stage of the addition of the treatment agent to promote the rapid mixing of the treatment agent and the wastewater, and the stirring time lasts for 15 minutes.

4. A treatment method for oily wastewater according to claim 1, characterized in that: In S3, the air flotation system adopts the dissolved air flotation method and the aeration flotation method. The pressure of the dissolved air tank in the dissolved air flotation method is maintained at 0.4 MPa, and the reflux ratio of the dissolved air water is 25 - 30%. The aeration flotation method uses a microporous aerator with a pore diameter of 0.5 mm, and the aeration volume per cubic meter of wastewater per minute is 10 L. The slag scraping frequency of the automatic slag scraper is automatically adjusted according to the accumulation thickness of the floating slag in the air flotation tank. When the floating slag thickness reaches 5 - 8 cm, the automatic slag scraper starts to perform slag scraping operation, and the slag scraping speed of the slag scraper is 0.2 - 0.4 m / min.

5. A treatment method for oily wastewater according to claim 1, characterized in that: In S4, the equipment operation parameters include the stirring speed of the reaction tank, the head of the pump, and the pressure parameters of the air flotation system. The twin model is constructed by a modeling method that combines multiple regression and neural network. The real-time data of the twin model is updated every 30 minutes during operation. When the AI system determines that a treatment agent needs to be added, the dosage of the treatment agent is 5 g per cubic meter of wastewater. The additional filtration step uses a filter element with a precision of 5 - 10 μm for filtration.

6. The treatment method for oily wastewater according to claim 1, characterized in that: In S5, the residual indicators include COD, oil content, and pH. The AI prediction model includes LSTM. The dosing strategy is used to gradually achieve self-learning, self-adjusting, and self-optimizing closed-loop control.

7. A treatment agent for oily wastewater, which is applied to a treatment method for oily wastewater according to any one of claims 1-6, characterized in that: It includes a treatment agent and auxiliary additives. The treatment agent includes moringa extract, ginger extract, phenyl salicylate, polyacrylamide, polyethyleneimine, carboxymethyl chitosan, polyaluminum ferric sulfate, calcium aluminate, diatomite, zeolite, bentonite, straw powder, sodium borate, and ethylenediaminetetra(methylenephosphonic acid). The auxiliary additives include sodium dodecylbenzenesulfonate, ethylenediaminetetraacetic acid, xanthan gum, polydimethylsiloxane, calcium chloride, and composite oxidant.

8. The treating agent for oily wastewater according to claim 7, wherein: The usage amounts of the treatment agent are as follows: moringa extract: 15 - 20 parts, ginger extract: 8 - 12 parts, phenyl salicylate: 0.5 - 1 part, polyacrylamide: 20 - 25 parts, polyethyleneimine: 12 - 15 parts, carboxymethyl chitosan: 5 - 8 parts, polyaluminum ferric sulfate: 25 - 30 parts, calcium aluminate: 6 - 9 parts, diatomite: 20 - 25 parts, zeolite: 3 - 7 parts, bentonite: 4 - 6 parts, straw powder: 30 - 35 parts, sodium borate: 3 - 5 parts, and ethylenediaminetetra(methylenephosphonic acid): 10 - 12 parts. The usage amounts of the auxiliary additives are as follows: sodium dodecylbenzenesulfonate 1 - 3 parts, ethylenediaminetetraacetic acid 0.5 - 1 part, xanthan gum 0.5 - 1 part, polydimethylsiloxane 0.1 - 0.5 part, calcium chloride 2 - 4 parts, and composite oxidant 0.5 - 1 part.

9. A treatment device for oily wastewater, which is applied to a treatment method for oily wastewater according to any one of claims 1-6, includes a pretreatment tank (1), and is characterized in that: On the left inner wall of the pretreatment tank (1), a pressing block (3) is fixedly connected. A filter screen (2) is slidably connected to the inner wall of the pretreatment tank (1). An inclined rod (4) is arranged inside the pressing block (3). The inner wall of the filter screen (2) is slidably connected inside the inclined rod (4). The outer wall of the filter screen (2) is slidably connected to a clamping shell (8). The outer wall of the clamping shell (8) is fixedly connected to the inner wall of the pretreatment tank (1). The inner wall of the clamping shell (8) is slidably connected to the pressing block (3). An inclined rod (4) is fixedly connected to the upper surface of the pressing block (3). A control column (5) is slidably connected to the outer wall of the inclined rod (4). A first inserting rod (7) is fixedly connected to the outer wall of the control column (5). The outer wall of the first inserting rod (7) is slidably connected to the inner wall of the clamping shell (8). A spring (6) is fixedly connected to the upper surface of the pressing block (3). The top end of the spring (6) is fixedly connected to the inner top wall of the clamping shell (8). The outer wall of the first inserting rod (7) is slidably connected to the inner wall of the filter screen (2).

10. The treatment device for oily wastewater according to claim 9, wherein: A driving shell (9) is fixedly connected to the outer wall of the pretreatment tank (1). A motor (10) is fixedly connected to the outer wall of the driving shell (9). A threaded rod is fixedly connected to the output end of the motor (10). A moving block (11) is threadedly connected to the outer wall of the threaded rod. The outer wall of the moving block (11) is slidably connected to the inner wall of the driving shell (9). A connecting block (12) is fixedly connected to the outer wall of the moving block (11). An electric push rod (13) is rotatably arranged on the outer wall of the connecting block (12). The output end of the electric push rod (13) is fixedly connected to a base (14). A first connecting rod (15) is fixedly connected to the upper surface of the base (14). A rotating shaft (16) is fixedly connected to the inner wall of the first connecting rod (15). A second connecting rod (17) is rotatably connected to the outer wall of the rotating shaft (16). A second inserting rod (19) is rotatably connected to the inner wall of the second connecting rod (17). The outer wall of the second inserting rod (19) is rotatably connected to a fixing block (18). The lower surface of the fixing block (18) is fixedly connected to the outer wall of the moving block (11). The outer wall of the first connecting rod (15) is rotatably connected to the inner wall of the fixing block (18).

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