13791 results about "Wastewater" patented technology

The invention discloses a digital twinning-based wastewater and dirty salt treatment process optimization method and system, and relates to the technical field of intelligent wastewater and dirty salt treatment. The method comprises the steps that a digital twinborn model synchronously mapped with a processing system is established, and the digital twinborn model integrates the technological parameter incidence relation of an evaporation section, a crystallization section and a filtering section; collecting component data and flow data of the polluted salt wastewater corresponding to each process section in real time; correcting model characteristic parameters of each process section in the digital twin model based on the component data and the flow data collected in real time; according to the corrected digital twin model and the optimization target, generating a process optimization strategy corresponding to each process section; and monitoring the component data of the treated discharge water, reuse water, industrial salt and solid waste in real time, and if the data does not reach the standard, triggering model parameter correction, optimization strategy iteration or cross-section collaborative logic recalculation. According to the invention, intelligent cooperation of wastewater and dirty salt treatment is realized.

The invention discloses a water and dust circulation cleaning head and a cleaning tool. The water and dust circulation cleaning head comprises a cleaning head shell assembly, a cleaning roller and an extrusion roller. The cleaning head shell assembly comprises a cleaning head shell body provided with two side walls, one side wall is fixedly connected with a hinge base, the hinge base is hinged to one end of a driving motor, and the output end of the other end of the driving motor is connected with the other side wall in a clamped mode. The cleaning roller sleeves the driving motor, and the output end of the cleaning roller is coupled to drive the cleaning roller to rotate to scrub a to-be-cleaned surface; the cleaning head shell body is provided with a water guide tip which abuts against the cleaning roller in the saturated state in the axial direction of the whole cleaning roller and guides sewage. The extrusion roller is rotatably clamped between the two side walls, clear water can be sprayed out from a clear water outlet formed in one side wall to directly wash the surface of the cleaning roller, an anti-overflow plate upwards extends from the cleaning head shell body away from the extrusion roller relative to the water guide tip part, and a water tank space is defined by the water guide tip part, the anti-overflow plate, the extrusion roller and the cleaning roller.

The present invention relates to the technical field of the control of wastewater treatment devices. Disclosed is an intelligent control method for wastewater treatment devices at a dry bulk cargo terminal, which is used for solving the problem of poor control of wastewater treatment devices at a terminal. The method comprises the following steps: installing a plurality of types of sensors at key locations of a dry bulk cargo terminal, and using edge computing nodes to perform real-time data collection and preprocessing; on the basis of historical features and temporal features, using a machine learning model to perform wastewater type classification, thereby realizing efficient dynamic adjustment of operating parameters of wastewater treatment devices; then, by means of weighted voting and confidence evaluation, integrating a plurality of classification results to ensure an optimal treatment effect; and analyzing actual wastewater treatment conditions to continuously optimize device control, thereby preventing faults, extending the service life of devices, and improving the wastewater treatment effect.

An ML-assisted framework is disclosed that can guide the design of fit-for-purpose separation membranes for resource recovery and clean water production from wastewaters. Approaches and methodologies for executing the work include the integrated components: 1) ML-assisted new polymer screening; 2) development of an interpretable ML model for membrane properties prediction; 3) mechanistic constitutive model; 4) development of a statistical ML model with a combination of proper regularization for membrane performance prediction; 5) separation membrane fabrication and evaluation.

The invention relates to the technical field of water quality prediction, and discloses an industrial sewage water quality real-time prediction and early warning method and system. According to the method, the depth features of the internal treatment process state of each water quality treatment unit are extracted, so that the problem that the prediction precision of a prediction model is limited due to the fact that the internal deep features cannot be excavated in a traditional method is solved; a migration rule and a response relation of pollutants between every two adjacent water quality treatment units are analyzed through real-time water quality parameters, so that a water quality flow association graph with the water quality treatment units as nodes, pollutant migration paths as edges and cross-unit association strength as edge weights is constructed; the driving effect of the water quality change of the upstream water quality treatment unit on the treatment effect of the downstream water quality treatment unit is quantified, the accurate quantification of the cross-unit dynamic linkage effect is realized, and the problem that the linkage effect is caused by neglecting the transfer and conversion of pollutants among the water quality treatment units in the prior art is solved. Therefore, the water quality prediction accuracy is improved.

The invention relates to the technical field of sewage treatment control, in particular to a sewage treatment control system based on data analysis. The system comprises a data acquisition module, a water quality prediction module, a dynamic adjustment module and an energy-saving feedback module. The data acquisition module acquires water quality historical data, environmental factor data and sewage flow data, the water quality prediction module is used for establishing a long-short term memory network model for predicting the water quality change trend, and the dynamic adjustment module is used for analyzing the relationship between water quality indexes and equipment operation parameters by using a Pearson's correlation coefficient analysis method. An energy-saving feedback module is adopted; a genetic algorithm is adopted to find an optimal operation combination among the devices; feedback adjustment is performed on the aeration rate, the water pump flow rate and the stirring speed parameters of the dynamic adjustment module, so that when the water quality changes, the operation parameters of the devices are adjusted in time, and the sewage treatment effect is ensured; and energy consumption is reduced.

The invention relates to the technical field of sewage treatment, in particular to a sewage treatment control process based on dynamic regulation and control of aeration and carbon source addition, which comprises the following steps: acquiring microbial metabolism heat change data in real time; biochemical treatment: monitoring the dielectric constant of a water body and the Reynolds number of sewage flow in real time, and constructing a multi-parameter coupling regulation and control model and dynamically regulating and controlling the aeration rate in combination with microbial metabolism heat change data obtained in the pretreatment step; accurately adding the carbon source according to a calculation result of the carbon source demand prediction model; sewage subjected to biochemical treatment is subjected to ultrafiltration through a nanofiber membrane and then subjected to combined disinfection treatment through ultraviolet rays and ozone, treatment parameters are regulated and controlled in real time according to the membrane flux attenuation trend in the treatment process, and dynamic and accurate control over sewage treatment is achieved. According to the method, the problem of energy consumption waste caused by excessive aeration or low degradation efficiency caused by insufficient aeration in a traditional process is solved, and accurate matching of dissolved oxygen supply and microbial requirements is realized.

The invention relates to a water treatment system for removing PFOA (perfluorooctanoic acid) in soil washing wastewater through electrooxidation coupled hydrogen peroxide reduction and application, CF / FeCo-N-C with high H2O2RR activity is prepared as a cathode to replace the traditional HER cathode reaction, the cathode potential is improved, the cathode polarization is reduced, and the input voltage and energy consumption of the system are reduced. Besides, the water treatment system is used for electrooxidative degradation of actual PFOA-containing soil washing wastewater, and compared with the prior art, the water treatment system has the advantages that the theoretical value of cathode potential can be increased from 0V vs.RHE of HER to 1.78 V vs.RHE, the ultra-low thermodynamic equilibrium potential of 1.02 V is achieved, deep treatment of the PFOA-containing soil washing wastewater is achieved, energy consumption is remarkably reduced, and the method is suitable for industrial production. New theoretical insight and practical significance are provided for sustainable treatment of PFOA-containing soil washing wastewater, and a new technical mode is provided for a post-treatment stage in soil remediation.

The invention discloses a low-carbon flexible coal-fired unit power control system and method, and relates to the technical field of power systems, and the system comprises a cascade waste heat recovery module, a boiler deep regulation and control module, a thermal coordination module, an environmental protection and emission reduction module, an intelligent operation scheduling module and an energy efficiency monitoring module. The gradient waste heat recovery module carries out gradient recovery on flue gas heat energy according to temperature zone grades; the boiler depth regulation and control module is used for regulating combustion air supply and heat absorption paths to realize low-load stable combustion; the thermal coordination module dynamically distributes thermal loads between the multiple heat sources and the thermal units; the environmental protection and emission reduction module jointly controls desulfurization, denitration and wastewater resourceful treatment; the intelligent operation scheduling module generates a load regulation and control instruction and coordinates multi-module response; the energy efficiency monitoring module collects and analyzes energy consumption and emission indexes and assists strategy optimization. The energy efficiency utilization and emission control capability of the unit under the deep peak regulation condition is improved, and flexible, efficient and low-carbon operation is achieved.

The invention discloses a karst underground river system multi-source pollution comprehensive quantitative traceability method, which comprises the following steps: S1, multi-dimensional sample collection and new pollutant screening: carrying out multi-period sampling on a water body, measuring conventional water quality indexes and nitrogen and oxygen isotopes, screening new pollutants, and carrying out targeted quantification on characteristic new pollutants; s2, principal component analysis dimension reduction and pollution factor identification: carrying out principal component analysis on conventional indexes and new pollutant data, extracting principal components of which the cumulative contribution rate exceeds 85%, identifying composite pollution factors, and eliminating secondary interference factors; s3, nitrogen and oxygen isotope auxiliary verification and denitrification elimination: eliminating denitrification interference by utilizing the ratio of delta 15N-NO3 <-> to delta 18O-NO3 <-> in combination with underground water burial depth and runoff velocity, and distinguishing the nitrate source as a chemical fertilizer, soil nitrogen or sewage and wastewater; and S4, PMF model optimization and pollution source quantification: inputting the conventional indexes and the new pollutant concentration matrix into a PMF model, and analyzing the contribution rate of each pollution source.

The invention discloses a method for denitrifying wastewater by using a low-temperature-resistant heterotrophic nitrification and aerobic denitrification bacterium, and relates to a method for denitrifying wastewater by using a biological bacterium, the bacterium is Pseudomonas putida, is named as Pseudomonas umsongensis BK17, belongs to Pseudomonas, and is preserved in the China Center for Type Culture Collection (CCTCC), the preservation number is CCTCC M 20242924, and the preservation date is December 27, 2024. The strain is a heterotrophic nitrification-aerobic denitrification bacterium, can efficiently remove inorganic nitrogen pollution in a water body, still has good denitrification performance under low-temperature stress, and is high in low-temperature tolerance. The strain can efficiently treat nitrogen-containing wastewater under the condition of 10 DEG C, and the removal efficiency can reach 99% or above. The method has great potential in the application of inorganic nitrogen pollution treatment of domestic sewage and other water bodies in cold regions in China.

The invention relates to the technical field of solid waste treatment, in particular to an intelligent waste sorting method based on multi-sensor fusion. Carrying out multi-level fusion decision making: carrying out sewage reflection suppression on the visible light image; carrying out matching identification and rejecting a liquid pollution area based on a near infrared spectrum; fusing the visible light texture, the spectral feature and the electromagnetic signal to generate a space grid feature vector; identifying the material category through a cascade classifier, and dynamically adjusting the weight of each sensor in the decision according to the environmental parameters; self-adaptive sorting execution: triggering a corresponding sorting execution mechanism according to an identification result; based on the transmission belt speed, the execution mechanism response delay and the material physical attribute, the action advance compensation amount is calculated; the action time of an execution mechanism is adaptively prolonged for the stacked materials according to the stacking hierarchy; and online feedback optimization. Through dynamic compensation and time sequence adjustment, the time sequence consistency of multi-sensor data is ensured, and the influence of band speed fluctuation is overcome.

The invention discloses a sewage discharge control method based on artificial intelligence, and belongs to the technical field of sewage treatment, and the method specifically comprises the steps: collecting the sewage flow of each subarea and the operation data of a corresponding treatment plant, constructing a time series prediction model, and outputting the sewage load deduction value of each subarea in the future; historical data of a treatment plant are called, a cost-load curve is constructed, and a cost gradient abrupt change inflection point is identified as a load critical value; the treatment plant with the load deduction value exceeding the critical value is determined as a positive treatment plant, and the treatment plant with the load deduction value lower than the critical value and the unit cost lower than the regional reference value is determined as a negative treatment plant; constructing an optimization model aiming at minimizing the scheduling loss, and generating a cross-region conveying path and a scheduling instruction set; scheduling the treatment plants corresponding to all the urban partitions according to the scheduling control instruction set; according to the method, the scheduling instruction is generated by constructing the scheduling loss minimization optimization model, dynamic cross-regional optimization scheduling of the urban sewage is realized, and the economical efficiency and the operation efficiency of a sewage treatment system are improved.

An apparatus for wastewater filtration having a barrel, a basket and a screw on a shaft rotating therein for pushing solid in a distinct output. A removable cartridge comprises a cover for the barrel, the cartridge comprising a pre-sealed shaft connector which releasably connects to at least the upper shaft portion or the lower shaft portion to form the shaft. The screw comprises a brush on an outer rim thereof, the brush having radially outwardly oriented bristles that scrape an inner surface of the basket. The screw comprises a winged wiper at a bottom thereof for sweeping a bottom surface of the barrel, and the solid-material output is provided at the bottom surface of the barrel and is shaped as a rectangular opening which is offset from a central axis of the screw. Solid removal efficiency and maintenance are thereby improved.

The invention belongs to the technical field of wastewater denitrification treatment, and particularly relates to an anaerobic ammonia oxidation reaction-based integrated partitioned denitrification method which comprises the following steps: S1, removing high-concentration organic matters and suspended matters in wastewater through coagulating sedimentation or chemical oxidation pretreatment to avoid inhibition on subsequent Anammox; s2, partitioning the integrated reactor, and setting a short-cut nitrification region and an Anammox reaction region; s3, enabling the effluent part of the Anammox reaction zone to flow back to the short-cut nitrification zone, supplementing nitrite and balancing the carbon nitrogen ratio; the Anammox granular sludge flows back to the reaction zone through the settling zone, and the biomass concentration and the reaction efficiency are maintained; s4, a secondary sedimentation tank or a built-in sedimentation zone is arranged to achieve mud-water separation, residual sludge is discharged, and it is guaranteed that effluent reaches the standard, and it is guaranteed that the denitrification efficiency is stable by dynamically adjusting dissolved oxygen of the short-cut nitrification zone and the pH value of the Anammox reaction zone.

The invention belongs to the technical field of tungsten smelting, and particularly discloses a method for recycling tungsten from tungsten smelting soda boiling slag through reselection, tungsten in the slag is recycled through a physical mineral separation method, a large number of acid-base reagents are not introduced, acid-base wastewater is not generated, and high-energy-consumption roasting or high-temperature acid-base leaching is not needed. The process is simple, large-scale treatment can be achieved, reagent consumption is low, energy consumption is low, closed-loop circulation of mineral separation water can be achieved, no wastewater is discharged, the process is environmentally friendly and free of pollution risks, meanwhile, indexes of the soda boiling residues subjected to innocent treatment can reach industrial solid waste, hazardous waste is converted into common solid waste, and the economic benefit is high. The environment-friendly treatment cost is low.

The invention relates to the technical field of textile dyeing sewage treatment, in particular to textile dyeing sewage treatment equipment. Comprising a purification box and a pretreatment box, and the interior of the pretreatment box communicates with the interior of the purification box; a sewage collecting box is fixedly connected to the purifying box, an auxiliary box is fixedly connected to the purifying box, an incomplete gear is driven by a first motor to rotate in the anticlockwise direction, so that a first conveying roller and a second conveying roller rotate synchronously, synchronous movement of a filter screen conveying belt is achieved, the filter screen conveying belt moves uninterruptedly while filtering is conducted, and the filtering efficiency is improved. The filter screen conveying belt entering the cleaning box is deeply cleaned through the wadding scraping mechanism and the deep cleaning mechanism, the filtering effect of the filter screen conveying belt is effectively improved, the filtering effect of sewage is improved through secondary filtering, the device enables sewage to be filtered more thoroughly, meanwhile, self-cleaning of the filter screen conveying belt can be conducted, and the service life of the filter screen conveying belt is prolonged. Manual replacement and manual cleaning are not needed, and the workload of workers is effectively reduced.

The invention discloses an automatic dosing control method and device for removing hardness of industrial high-salinity wastewater. Comprising the following steps: collecting raw water quality parameters before medicament feeding, effluent water quality parameters after medicament feeding and medicament feeding amount as historical operation data; performing data cleaning and data standardization processing on the historical operation data to obtain a standard data set; training and testing the supervised learning model by adopting a standard data set to obtain an effluent quality prediction model; on the basis of the effluent quality prediction model, taking the raw water quality parameter and the medicament dosage as input quantities to obtain an effluent quality parameter prediction value; and based on the raw water quality parameter, the current agent dosage and the effluent quality parameter predicted value, dynamically adjusting the agent dosage by adopting a reinforcement learning model. According to the invention, full-automatic control from water quality monitoring to medicament adding is realized, manual intervention is not needed, the dosage can be automatically adjusted according to real-time water quality data, and the treatment efficiency and precision are remarkably improved.

The invention relates to the technical field of sewage treatment and automatic control thereof, in particular to an automatic monitoring system and method for sewage treatment of a vibrating membrane bioreactor. The method comprises the following steps: monitoring key indexes in real time, and carrying out standardization processing and interpolation on sensor data to ensure the accuracy of the data; an information code generation and verification mechanism is adopted to ensure data integrity and security; a physical model and a deep learning model are combined to predict sewage treatment efficiency, and space-time relevance is analyzed through a space-time convolutional network; operating parameters of the system are optimized through a deep reinforcement learning algorithm, and the frequency, the amplitude, the aeration power and the medicament dosage of a vibrating membrane are adjusted to achieve an optimal treatment effect; through real-time adjustment of the vibrating membrane and the aeration equipment, the sewage treatment efficiency is improved; the real-time treatment state is displayed, the sewage removal rate is monitored, and an alarm mechanism is triggered under the abnormal condition. According to the method, the data security and the system optimization are considered while the processing effect is ensured.

The invention discloses an intelligent continuous pretreatment process for herbicide pesticide wastewater, relates to the technical field of pesticide wastewater pretreatment, and aims to solve the problem of poor removal effect of pesticide residues in wastewater. According to the method, Fenton oxidation, photocatalysis and other processes are accurately selected for different pollutants such as chlorinated organic compounds and triazines, the degradation pertinence is greatly improved, the pollutant removal rate is remarkably increased, all links are seamlessly connected, a pretreatment-deep purification closed loop is formed, the adaptability to complex pesticide wastewater is improved by 40% compared with a single process, and the method is suitable for industrial production. By combining the design of sludge combined treatment, gravity flow sludge discharge and the like, the energy consumption and the operation and maintenance cost are remarkably saved, a multi-stage monitoring and parameter dynamic adjustment mechanism is adopted, the reaction conditions can be timely corrected, the blind feeding of chemicals is reduced, the treatment effect is ensured, the waste of consumables is reduced, and the economic benefit is increased. Compared with the traditional process, the medicament consumption is reduced by more than 30%.

The invention provides a process for recovering various valuable elements such as lead, zinc, silver and potassium from soot of a steel mill. The process comprises the following steps of water leaching, fluorine removal, high-temperature concentration, primary cooling crystallization, secondary cooling crystallization, secondary leaching, ammonia leaching and ammonia distillation. According to the recovery process, potassium in the soot of the steel mill is recovered in the form of potassium chloride, zinc is recovered in the form of zinc sulfate, silver is recovered in the form of silver chloride, only auxiliary materials such as sulfuric acid, ammonia water and calcium chloride which are low in price are used in the whole recovery process, the cost is low, no waste water or waste residues are generated in the whole process, the direct recovery rate of lead and zinc is 95% or above, and the production cost is low. The direct recovery rate of silver is 98% or above, and the method has practical application value.

The invention discloses Pseudomonas sp. W50 and an application of the Pseudomonas sp. W50 in degradation of xanthate by combining the Pseudomonas sp. W50 with Cynanchum otophyllum. The Pseudomonas sp. W50 is preserved in Guangdong Microbial Culture Collection Center on July 31, 2024, and the preservation number of the Pseudomonas sp. W50 is GDMCC NO.64924. The Pseudomonas sp. W50 is preserved in the Guangdong Microbial Culture Collection Center on July 31, 2024. The degradation rate of 100mg / L BuX in 9h reaches up to 99%, and the strain also has various growth promoting characteristics of dissolving phosphorus, dissolving potassium, secreting IAA and GA and degrading cellulose. The BuX-polluted wastewater remediation agent can be used for remediation of BuX-polluted wastewater, can play a synergistic interaction role when being combined with pinkflower clover herb, has a more remarkable remediation effect, provides a new method for treatment of BuX pollution and promotion of healthy growth of aquatic plants in mining areas, and has a wide application prospect.

The invention discloses a high-salinity wastewater evaporative crystallization device and an operation method thereof, and relates to the technical field of wastewater evaporation. Comprising a treatment main body and a material distribution assembly for discharging pretreated salt crystals in batches; the heating assembly is used for heating the high-salt crystals in the pipeline; the shunting assembly is used for evaporating a high-viscosity concentrated solution in the salt crystal; the guide assembly is used for preventing the high-salt crystals from being adhered in the pipeline; the circulating assembly is used for recycling the air heated by the pipeline, and reheating and reusing the air; the evaporation assembly is used for evaporating most of water in the wastewater; and the stirring assembly is used for stirring the heated wastewater. High-salt crystals on the surface of the screen are stirred through a plurality of material stirring plates arranged on the inner wall of the rotating shaft ring, so that mutual adhesion of high-salt crystal clusters is avoided, and the problem that in the using process of a traditional high-salt wastewater evaporative crystallization device, due to mutual accumulation of the high-salt crystals after high-salt wastewater is evaporated, the high-salt crystals are easily separated from the screen is further solved. Therefore, the high-viscosity concentrated solution inside is difficult to effectively strip.

The invention relates to the technical field of sewage treatment supervision, and discloses a sewage plant supervision system based on digital twinning. The system comprises an operation mirror image generation module which collects data in real time and generates a digital twin mirror image of the sewage treatment facility; the virtual equipment state library construction module is used for extracting key equipment parameters based on the digital twin mirror image and dynamically updating a virtual equipment state library; the strategy optimization module is used for analyzing a sewage flow state and a pollutant migration path and generating a virtual operation strategy optimization parameter set; the abnormal response engine module is used for monitoring abnormal fluctuation of key nodes and generating an abnormal response intervention data set; and the efficiency improvement module is used for optimizing virtual processing path regulation and control parameters and generating a pollutant removal efficiency improvement scheme. According to the system, dynamic monitoring, intelligent optimization and quick response of the whole sewage treatment process are achieved through the digital twinning technology, supervision accuracy and timeliness are improved, and the system adapts to complex and changeable operation conditions.

An advanced defluoridation agent and a method for removing fluoride ion in fluorine-containing wastewater are provided. The advanced defluoridation agent includes 40-70wt% of polyaluminum sulfate, 0.3-30wt% of hydroxyapatite and deionized water supplemented to 100wt%. Using the advanced defluoridation agent of the present disclosure to treat fluoride-containing wastewater can achieve increased defluorination efficiency, reduced electrical conductivity, and reduced sludge content, and a better defluorination effect. The concentration of fluoride ions is lower than 15ppm after using the advanced defluoridation agent of the present disclosure.

An advanced defluoridation agent and a method for removing fluoride ions in fluorine-containing wastewater are provided. The advanced defluoridation agent includes 40-70 wt % of polyaluminum sulfate, 0.3-30 wt % of hydroxyapatite and deionized water supplemented to 100 wt %. Using the advanced defluoridation agent of the present disclosure to treat fluoride-containing wastewater can achieve increased defluorination efficiency, reduced electrical conductivity, and reduced sludge content, and a better defluorination effect. The concentration of fluoride ions is lower than 15 ppm after using the advanced defluoridation agent of the present disclosure.

The present invention relates to the technical field of wastewater filtration, and specifically to a wastewater filtration treatment device, comprising a filter box, wherein a liquid inlet pipe is provided at the top of the filter box, a liquid outlet pipe is provided at the bottom of the filter box, and a base is fixedly connected to the bottom of the filter box, a plurality of filter screens are fixedly connected in the filter box, a cleaning plate is provided on the top of the filter screen, a horizontal push mechanism for pushing the plurality of cleaning plates to move is installed in the filter box, a plurality of cleaning holes matched with the cleaning plates are opened on the inner wall of the filter box, a plurality of fixed boxes are fixedly connected on the outer wall of the filter box, and the number of fixed boxes, cleaning holes and cleaning plates is consistent, a movable seat is slidably provided in the fixed box, and the end of the movable seat is located in the corresponding cleaning hole, and a debris outlet hole is opened on the bottom inner wall of the fixed box; it is convenient to clean the impurities located on the top of the filter screen and reduce the influence of the impurities on the wastewater filtration treatment, so as to facilitate the later use.

The utility model belongs to the field of chemical raw material recovery, and discloses a continuous resourceful treatment system for photovoltaic fluorine-containing wastewater. The system comprises a first-stage fluorine removal unit, a second-stage fluorine removal unit and a silicon removal unit. According to the utility model, the fluorine element is subjected to resource recovery in the form of high-purity calcium fluoride with the purity of more than 95%, meanwhile, the consumption of a fresh sodium hydroxide solution is avoided, the purpose of treating waste with waste is realized, and the residual fluorine quantity in the effluent of the system is reduced to be less than 5mg / L.

The invention relates to a kitchen waste oil recovery treatment method, which comprises: S1, carrying out multi-field synergistic pretreatment: sequentially carrying out ultrasonic wave and high-frequency pulse electric field treatment on waste oil to break an emulsion layer, adding magnetic nanoparticles to adsorb polar impurities, and carrying out magnetic field separation to obtain high-purity oil; s2, supercritical catalytic reaction: under the CO2 supercritical condition, using a core-shell structure composite catalyst to synchronously perform transesterification reaction and glycerol dehydration reaction; s3, dynamic membrane separation: separating biodiesel and glycerol in real time through an intelligent membrane assembly; s4, gradient utilization of energy: recovering reaction waste heat to drive membrane distillation to concentrate wastewater, and using tail gas CO2 for carbonation reaction to generate calcium carbonate. Through four core technologies of multi-field collaborative pretreatment, low-temperature supercritical catalysis, dynamic membrane separation and energy gradient utilization, triple limitations on efficiency, cost and environmental protection in the prior art are remarkably broken through.

The invention discloses tea juice treatment equipment, and relates to the technical field of tea juice treatment. The device comprises a separation net provided with a through hole, a cutter head and a dial wheel plate crushing assembly which are coaxially arranged up and down, an adjustable magnetic coupling driving part composed of an electromagnet and a planetary gear, a bidirectional flow centrifugal separation chamber, a filter element fine filtration cavity and a non-stop screw deslagging mechanism. Flushing wastewater is actively pre-crushed and then tangentially guided to a centrifugal cavity, and solid and liquid are rapidly separated under the synergistic effect of centrifugal force and suction pressure difference; a liquid phase is subjected to center suction, refined filtration, clarification and discharge, and a solid phase settles along the inner wall and is automatically conveyed to the outside for sealed collection. According to the system, the rotating speed is adjusted in a closed-loop mode through online particle monitoring, load self-adaption and low-energy-consumption operation are achieved, filter screen blockage, shutdown cleaning and peculiar smell diffusion are avoided, and the system is suitable for on-site up-to-standard treatment of tea residue sewage in the peak period of a catering store.