Kitchen sewage treatment system and method

Abstract

According to the kitchen sewage treatment system and method provided by the invention, the filtered kitchen sewage is introduced into the oil-water dynamic separation bin, and the oil phase aggregation state is dynamically predicted according to the oil drop particle size distribution of the kitchen sewage and the sedimentation characteristics of the kitchen sewage, so that the critical separation point of grease is obtained; performing oil-water separation treatment on the kitchen sewage based on the critical separation point; the kitchen sewage obtained after oil-water separation is introduced into a biological treatment bin; performing self-adaptive adjustment on environmental parameters in the biological treatment process according to the metabolic response curve and the critical separation point of the compound microbial community on the biological membrane carrier in the biological treatment bin; the kitchen sewage is biodegraded according to the adjusted environmental parameters; and disinfecting and sterilizing the biodegraded water body to obtain a clean water body meeting the reuse standard. By adopting the scheme provided by the invention, the kitchen sewage can be purified for multiple times so as to ensure that the treated water quality can meet the reuse standard.

Description

Technical Field

[0001] This application relates to the technical field of sewage treatment, and more specifically, to a kitchen sewage treatment system and method. Background Art

[0002] Kitchen sewage treatment plays an important role in environmental protection; with the acceleration of the urbanization process and the rapid development of the catering industry, the generation of kitchen sewage has increased significantly. Kitchen sewage contains a large amount of grease, food residues, organic matter, detergents, and a certain amount of nutrients such as nitrogen and phosphorus; the direct discharge of untreated kitchen sewage will release harmful substances into natural water bodies, leading to water quality deterioration and ecosystem damage. Moreover, the high concentration of grease in kitchen sewage will cause drainage pipes to clog, and in severe cases, it may lead to the paralysis of the drainage system, resulting in environmental pollution and increased cleaning costs; therefore, how to effectively treat kitchen sewage and reduce its negative impact on the environment has become a key task in modern environmental protection and urban management.

[0003] Existing kitchen sewage treatment systems mainly remove pollutants such as solid substances and grease in sewage through physical means, such as removing suspended solids and solid impurities in water through gravity or separating grease from water through oil-water separation technology; for some pollutants that are difficult to remove by physical methods, they are treated by chemical treatment methods or biological treatment methods, such as adding flocculants to coagulate suspended solids and colloidal substances in water into flocculent particles and then separating them by precipitation, or degrading organic pollutants in water through microbial communities; however, the existing oil-water separation technology has poor treatment effects on low-concentration grease and emulsified oil, resulting in low grease removal efficiency and affecting the subsequent treatment process. Chemical treatment methods (such as chemical oxidation and flocculation precipitation) may require a large amount of chemical agents, which not only increases the treatment cost but may also cause secondary pollution problems. Biological treatment methods (such as activated sludge method and anaerobic treatment method) have poor removal effects on high-concentration organic matter, and there are fluctuations in treatment effects during peak drainage periods, resulting in excessive organic matter concentration in sewage and incomplete removal; therefore, how to purify kitchen sewage multiple times to ensure that the treated water quality can meet the reuse standard has become a difficult problem faced by the industry. Summary of the Invention

[0004] This application provides a kitchen sewage treatment system and method, which can purify kitchen sewage multiple times to ensure that the treated water quality can meet the reuse standard.

[0005] In a first aspect, this application provides an intelligent control method for multi-stage treatment of kitchen sewage, including: Connect the filtered kitchen sewage to an oil-water dynamic separation tank, and extract the sedimentation characteristics of the kitchen sewage in the oil-water dynamic separation tank under multi-phase flow conditions; Dynamically predict the aggregation state of the oil phase in the kitchen wastewater according to the oil droplet size distribution and the sedimentation characteristics of the kitchen wastewater in the oil-water dynamic separation tank, obtain the critical separation point of the grease in the oil-water dynamic separation tank, and perform oil-water separation treatment on the kitchen wastewater based on the critical separation point; Connect the kitchen wastewater after oil-water separation to the biological treatment tank; Determine the metabolic response curve of the composite microbial community on the biofilm carrier in the biological treatment tank, adaptively adjust the environmental parameters during the biological treatment process according to the metabolic response curve and the critical separation point, and then perform biodegradation on the kitchen wastewater in the biological treatment tank according to the adjusted environmental parameters; Disinfect and sterilize the water body after biodegradation to obtain a clean water body meeting the reuse standard.

[0006] In some embodiments, the filtered kitchen wastewater can be obtained by performing primary filtration and secondary filtration on the kitchen wastewater through a self-cleaning screen, wherein the aperture of the self-cleaning screen for primary filtration is 5 mm, and the aperture of the self-cleaning screen for secondary filtration is 1 mm.

[0007] In some embodiments, extracting the sedimentation characteristics of the kitchen wastewater in the oil-water dynamic separation tank under the multiphase flow state specifically includes: Real-time track the movement state of the oil-water particles in the kitchen wastewater in the oil-water dynamic separation tank under the multiphase flow state to obtain the movement trajectories of the oil-water particles; Determine the drift characteristics of the sedimentation of the oil-water particles in the kitchen wastewater according to the movement trajectories; Determine the temporal distribution characteristics of the sedimentation of the oil-water particles in the kitchen wastewater; Based on the drift characteristics and the temporal distribution characteristics, determine the sedimentation characteristics of the kitchen wastewater under the multiphase flow state.

[0008] In some embodiments, dynamically predicting the aggregation state of the oil phase in the kitchen wastewater according to the oil droplet size distribution and the sedimentation characteristics of the kitchen wastewater in the oil-water dynamic separation tank, and obtaining the critical separation point of the grease in the oil-water dynamic separation tank specifically includes: Determine the oil droplet size distribution of the kitchen wastewater in the oil-water dynamic separation tank; Based on the sedimentation characteristics and the oil droplet size distribution, construct a dynamic prediction model for the aggregation state of the oil phase in the kitchen wastewater; Determine the critical separation point of the grease in the oil-water dynamic separation tank through the dynamic prediction model.

[0009] In some embodiments, determining the metabolic response curve of the composite microbial community on the biofilm carrier in the biological treatment tank specifically includes: Put the biofilm carrier with the surface-attached composite microbial community prepared in advance into the biological treatment tank; Determine all metabolites of the complex microbial community on the biofilm carrier; For each metabolite of the complex microbial community on the biofilm carrier, monitor the concentration change of the metabolite in real time, obtain the concentration change characteristics of the metabolite, and further obtain the concentration change characteristics of each metabolite of the complex microbial community on the biofilm carrier; Determine the metabolic response curve of the complex microbial community according to the concentration change characteristics of all metabolites.

[0010] In some embodiments, the adaptive adjustment of the environmental parameters in the biological treatment process according to the metabolic response curve and the critical separation point specifically includes: Determine the biodegradation characteristics of the complex microbial community according to the metabolic response curve; Determine the pollutant concentration data of the kitchen wastewater in the biological treatment tank according to the critical separation point; Construct an environmental regulation model for biological treatment of kitchen wastewater based on the biodegradation characteristics and the pollutant concentration data; Adjust the environmental parameters in the biological treatment process through the environmental regulation model.

[0011] In some embodiments, ultraviolet irradiation and ozone oxidation are used in combination for disinfection and sterilization.

[0012] In a second aspect, the present application provides a kitchen wastewater treatment system, which includes an intelligent control unit for multi-stage treatment. The intelligent control unit for multi-stage treatment includes: A collection module, configured to connect the filtered kitchen wastewater to an oil-water dynamic separation tank and extract the sedimentation characteristics of the kitchen wastewater in the oil-water dynamic separation tank under the condition of multiphase flow; A processing module, configured to dynamically predict the aggregation state of the oil phase in the kitchen wastewater according to the oil droplet size distribution and the sedimentation characteristics of the kitchen wastewater in the oil-water dynamic separation tank, obtain the critical separation point of the grease in the oil-water dynamic separation tank, and perform oil-water separation treatment on the kitchen wastewater based on the critical separation point; An execution module, configured to connect the kitchen wastewater after oil-water separation to a biological treatment tank; The processing module is configured to determine the metabolic response curve of the complex microbial community on the biofilm carrier in the biological treatment tank, adaptively adjust the environmental parameters in the biological treatment process according to the metabolic response curve and the critical separation point, and then perform biodegradation on the kitchen wastewater in the biological treatment tank according to the adjusted environmental parameters; The execution module is configured to disinfect and sterilize the water body after biodegradation to obtain a clean water body meeting the reuse standard.

[0013] In a third aspect, the present application provides a computer device, which includes a memory and a processor. The memory stores code, and the processor is configured to obtain the code and execute the above-mentioned intelligent control method for multi-stage treatment of kitchen sewage.

[0014] In a fourth aspect, the present application provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, it implements the above-mentioned intelligent control method for multi-stage treatment of kitchen sewage.

[0015] The technical solutions provided by the disclosed embodiments of the present application have the following beneficial effects: In the kitchen sewage treatment system and method provided by the present application, first, the filtered kitchen sewage is connected to the oil-water dynamic separation tank, and the sedimentation characteristics of the kitchen sewage in the oil-water dynamic separation tank under the multi-phase flow state are extracted; the dynamic prediction of the oil-phase aggregation state in the kitchen sewage is carried out according to the oil droplet size distribution and the sedimentation characteristics of the kitchen sewage in the oil-water dynamic separation tank, and the critical separation point of the grease in the oil-water dynamic separation tank is obtained. Based on the critical separation point, the oil-water separation treatment of the kitchen sewage is carried out; the kitchen sewage after oil-water separation is connected to the biological treatment tank; the metabolic response curve of the composite microbial community on the biofilm carrier in the biological treatment tank is determined, and the environmental parameters in the biological treatment process are adaptively adjusted according to the metabolic response curve and the critical separation point. Then, the kitchen sewage in the biological treatment tank is biologically degraded according to the adjusted environmental parameters; the water body after biological degradation is disinfected and sterilized to obtain a clean water body meeting the reuse standard.

[0016] It can be seen that the present application performs oil-water separation treatment on kitchen sewage based on the critical separation point, connects the kitchen sewage after oil-water separation to a biological treatment tank for biodegradation, disinfects and sterilizes the water body after biodegradation, and obtains clean water meeting the reuse standard; First, the determination of the oil droplet size distribution can obtain the continuous change trajectory of the oil droplet size in the kitchen sewage in the oil-water dynamic separation tank over time. This oil droplet size distribution reflects the fluctuation trend of the oil droplet size in the kitchen sewage. Determining the oil droplet size distribution helps to dynamically predict the aggregation state of the oil phase in combination with the sedimentation characteristics of the kitchen sewage under multiphase flow conditions, thereby reflecting the effect of oil-water separation and ensuring the stability of the oil-water separation process; Then, the determination of the critical separation point can obtain the key time point when the oil phase reaches a stable state due to aggregation and sedimentation during the oil-water separation process, causing the oil-water interface to become obvious and the separation effect to reach the optimal level. Determining the critical separation point helps to optimize the oil-water separation process, improve the oil-water separation efficiency, and provide an accurate control basis for subsequent treatment steps (such as biological treatment); Finally, the biodegradation coefficient of the pollutants in the kitchen sewage is determined according to the adjusted environmental parameters. The determination of the biodegradation coefficient can obtain a quantitative index for measuring the degradation rate of the pollutants in the kitchen sewage by the microbial community. Determining the biodegradation coefficient helps to evaluate the removal efficiency of the pollutants in the kitchen sewage, provides a scientific basis for optimizing the disinfection and degradation process, and ensures that the treated water quality meets the reuse standard; In summary, based on the above solution, the kitchen sewage can be purified multiple times to ensure that the treated water quality can meet the reuse standard. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 is an exemplary flowchart of an intelligent control method for multi-stage treatment of kitchen sewage according to some embodiments of the present application; Figure 2 is an exemplary flowchart of determining sedimentation characteristics according to some embodiments of the present application; Figure 3 is an internal structure diagram of an oil-water dynamic separation tank according to some embodiments of the present application; Figure 4 is a schematic structural diagram of an intelligent control unit for multi-stage treatment according to some embodiments of the present application; Figure 5 is an internal structure diagram of a computer device for implementing an intelligent control method for multi-stage treatment of kitchen sewage according to some embodiments of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0018] To better understand the technical solution of the present application, the technical solution of the present application will be described in detail below in conjunction with the specification drawings and specific embodiments.

[0019] Refer to Figure 1, This figure is an exemplary flowchart of an intelligent control method for multi-stage treatment of kitchen sewage according to some embodiments of the present application. The intelligent control method 100 for multi-stage treatment of kitchen sewage mainly includes the following steps: In step 101, the filtered kitchen sewage is connected to the oil-water dynamic separation tank, and the sedimentation characteristics of the kitchen sewage in the oil-water dynamic separation tank under the multi-phase flow state are extracted.

[0020] It should be noted that in the present application, the filtered kitchen sewage refers to the sewage after removing large particle impurities and suspended substances, which can be obtained by controlling the self-cleaning screen to perform primary filtration and secondary filtration on the kitchen sewage. Among them, the aperture of the self-cleaning screen for primary filtration can be 5 mm, and the aperture of the self-cleaning screen for secondary filtration can be 1 mm. Filtering the kitchen sewage can effectively reduce the impurity interference in the oil-water dynamic separation tank, improve the oil-water separation efficiency, and provide a purer water quality basis for the subsequent biological treatment process.

[0021] In some embodiments, refer to Figure 2 , This figure is an exemplary flowchart of determining sedimentation characteristics according to some embodiments of the present application. In the present application, the sedimentation characteristics of the kitchen sewage in the oil-water dynamic separation tank under the multi-phase flow state can be achieved by the following steps: In step 1011, the movement state of the oil-water particles in the kitchen sewage in the oil-water dynamic separation tank under the multi-phase flow state is tracked in real time to obtain the movement trajectory of the oil-water particles; In step 1012, the drift characteristics of the sedimentation of the oil-water particles in the kitchen sewage are determined according to the movement trajectory; In step 1013, the time sequence distribution characteristics of the sedimentation of the oil-water particles in the kitchen sewage are determined; In step 1014, based on the drift characteristics and the time sequence distribution characteristics, the sedimentation characteristics of the kitchen sewage under the multi-phase flow state are determined.

[0022] In specific implementation, to track in real time the movement state of oil-water particles in kitchen wastewater in the oil-water dynamic separation tank under multiphase flow conditions, the movement trajectory of the oil-water particles can be obtained in the following way: First, add tracer particles (such as fluorescent oil droplets) treated by fluorescent staining to the kitchen wastewater to make the oil-water particles easy to identify under multiphase flow conditions. Then, use a high-frame-rate industrial camera to capture the movement images of the oil-water particles within a preset time period (such as six hours) to obtain the movement image data of the tracer particles. Next, use the existing particle tracking velocimetry algorithm to extract the time-series data showing the position changes of the tracer particles in different time frames from the movement image data, and use this time-series data as the movement trajectory of the oil-water particles; where the movement trajectory refers to the spatial position sequence of the oil-water particles changing with time in the oil-water dynamic separation tank, and this movement trajectory can accurately reflect the particle sedimentation dynamics and provide key data support for real-time monitoring and optimizing the oil-water separation efficiency.

[0023] In specific implementation, to determine the drift characteristics of the sedimentation of oil-water particles in kitchen wastewater based on the movement trajectory can be achieved in the following way: The drift components of the oil-water particles under the action of turbulence and shear can be extracted from the movement trajectory of the oil-water particles through existing hydrodynamic motion analysis algorithms (such as the Euler-Lagrange two-phase flow simulation algorithm and the multi-scale fluctuation analysis algorithm), and the drift velocity gradient at each moment can be output. Then, the time-series vector composed of all the drift velocity gradients is used as the drift characteristics of the sedimentation of the oil-water particles in the kitchen wastewater; where the drift characteristics are the characteristic vectors describing the change in the movement velocity gradient of the oil-water particles due to fluid disturbance in a multiphase flow environment. This drift characteristic helps to accurately predict the sedimentation path and dynamic separation trend of the oil-water particles, achieve adaptive control, and thus optimize the oil-water separation process and improve the separation efficiency.

[0024] In specific implementation, to determine the time-series distribution characteristics of the sedimentation of oil-water particles in kitchen wastewater can be achieved in the following way: First, the key time nodes (such as the initial suspension moment, the sedimentation acceleration period, and the steady-state sedimentation period) of the sedimentation process can be identified from the movement trajectory of the oil-water particles using an existing trend prediction model (such as the autoregressive integrated moving average model), and the time trend of the sedimentation time of the oil-water particles can be predicted, and the probability distribution curve of the sedimentation time of the oil-water particles is output. Then, this probability distribution curve is used as the time-series distribution characteristics of the sedimentation of the oil-water particles in the kitchen wastewater; where the time-series distribution characteristics are the characteristics describing the time change law of the oil-water particles during the sedimentation process. This time-series distribution characteristic helps to analyze the different stages and time nodes of the sedimentation of the oil-water particles, thereby predicting the timing of oil-water separation and achieving adaptive control, and improving the separation efficiency and accuracy.

[0025] It should be noted that in this application, the sedimentation characteristic is a characteristic that describes the velocity change and time change of the sedimentation of oil-water particles in a multiphase flow state. This sedimentation characteristic helps to achieve precise control of the oil-water separation process, thereby improving the separation efficiency and ensuring the long-term stable operation of the sewage treatment system. Specifically, when implemented, the sedimentation characteristic of kitchen sewage in a multiphase flow state can be determined based on the drift characteristic and the time sequence distribution characteristic in the following manner, that is: an existing feature fusion algorithm (such as the principal component analysis method) can be used to perform feature fusion and dimensionality reduction processing on the drift characteristic and the time sequence distribution characteristic, and a multi-dimensional comprehensive feature is output, and then this multi-dimensional comprehensive feature is used as the sedimentation characteristic of kitchen sewage in a multiphase flow state.

[0026] It should be noted that the oil-water dynamic separation tank is a device for separating the oil and water components in kitchen sewage. By adjusting the flow rate and residence time of the sewage entering, the oil and water in the kitchen sewage can be stratified faster and the oil-water interface can be kept stable, thereby improving the oil-water separation efficiency and ensuring the smooth progress of the subsequent treatment process. In this application, the oil-water dynamic separation tank is designed with a "upper water outlet and lower oil outlet" structure. Refer to Figure 3 , this figure is the internal structure diagram of the oil-water dynamic separation tank shown in some embodiments of this application. In this application, the kitchen sewage passes through the primary filter tank 1 in the primary filter tank slot 10 and the secondary filter tank 2 below, and then enters the oil-water dynamic separation tank 5 from the sewage inlet 9. At the initial stage of the device operation, the kitchen sewage mixed with waste oil gradually accumulates in the tank body. When the liquid level rises to the water outlet 4, the lower layer of water body is continuously discharged from the water outlet 4 through the pressure balance pipe 3, and the upper layer of oil body is discharged from the oil phase outlet 7. Since the content of waste oil in the water body is relatively small, at this time, the two-phase interface is located in the upper part of the tank body (close to the height of the water outlet 4), and is far from the lower end of the pressure balance pipe where the sewage enters. Therefore, the discharged water body will not entrain grease. Compared with traditional devices, on the one hand, this design retains the advantage of continuous discharge of the water body, ensuring that the normal sewage discharge is not affected during the use of the device. On the other hand, by swapping the positions of the two-phase discharge ports, the problems of incomplete phase separation and easy entrainment of the two phases existing in traditional devices are completely solved. In addition, the state of the kitchen sewage can be observed through the observation window 8, and the device is equipped with a primary filter tank handle 6 for facilitating the cleaning of the filter residue in the primary filter tank.

[0027] In step 102, based on the oil droplet size distribution and the sedimentation characteristic of the kitchen sewage in the oil-water dynamic separation tank, the dynamic aggregation state of the oil phase in the kitchen sewage is predicted to obtain the critical separation point of the grease in the oil-water dynamic separation tank, and the kitchen sewage is subjected to oil-water separation treatment based on the critical separation point.

[0028] In some embodiments, the dynamic prediction of the oil phase aggregation state in the kitchen wastewater according to the oil droplet size distribution and the sedimentation characteristics in the oil-water dynamic separation tank, and obtaining the critical separation point of the grease in the oil-water dynamic separation tank can be achieved by the following steps: Determine the oil droplet size distribution of the kitchen wastewater in the oil-water dynamic separation tank; Construct a dynamic prediction model for the oil phase aggregation state in the kitchen wastewater based on the sedimentation characteristics and the oil droplet size distribution; Determine the critical separation point of the grease in the oil-water dynamic separation tank through the dynamic prediction model.

[0029] In specific implementation, the determination of the oil droplet size distribution of the kitchen wastewater in the oil-water dynamic separation tank can be achieved in the following manner, that is: First, the oil-water mixed flow images of the kitchen wastewater can be collected at preset intervals (such as one minute) by a high-resolution high-speed camera system installed in the oil-water dynamic separation tank. Then, all the oil-water mixed flow images collected within a preset time period (such as six hours) are processed using existing image processing methods (such as edge detection or morphological analysis) to identify the size of each oil droplet. Next, the sequence formed by arranging the sizes of each oil droplet in chronological order is used as the size time series corresponding to each oil droplet. Finally, the set formed by the size time series of all oil droplets is used as the oil droplet size distribution of the kitchen wastewater in the oil-water dynamic separation tank; wherein, the oil droplet size distribution refers to the continuous change trajectory of the oil droplet size in the kitchen wastewater over time, and this oil droplet size distribution reflects the fluctuation trend of the oil droplet size in the kitchen wastewater, which helps to predict the key turning points in the oil-water separation process, thereby optimizing the separation efficiency and improving the treatment effect.

[0030] In specific implementation, constructing a dynamic prediction model for the oil phase aggregation state in the kitchen wastewater based on the sedimentation characteristics and the oil droplet size distribution can be achieved in the following manner, that is: An existing trend prediction model (such as a long short-term memory network model) can be loaded, and the sedimentation characteristics and the oil droplet size distribution are used as the training data of the trend prediction model to train the trend prediction model, obtaining a dynamic prediction model for the oil phase aggregation state in the kitchen wastewater; wherein, the dynamic prediction model is a time series prediction model based on a long short-term memory network. After being trained, this dynamic prediction model can analyze the dynamic relationship between the oil droplet size distribution and the sedimentation characteristics of the oil-water particles through the change data of the oil droplet size in the oil-water dynamic separation tank, and predict the change trend of the oil-water interface, thereby determining the critical separation point of the grease in the oil-water dynamic separation tank, and thus realizing an efficient oil-water separation process.

[0031] It should be noted that in this application, the critical separation point refers to the key time point during the oil-water separation process when the oil phase reaches a stable state due to aggregation and sedimentation, resulting in an obvious oil-water interface and the best separation effect. This critical separation point helps to optimize the oil-water separation process, improve the oil-water separation efficiency, and ensure that the treated water quality meets the reuse standard. Specifically, when implemented, the critical separation point of the oil in the oil-water dynamic separation tank can be determined by the dynamic prediction model in the following way: first, obtain the particle size time series of each oil droplet in the kitchen wastewater in the oil-water dynamic separation tank within the current time period (such as one hour) from the oil droplet size distribution, then use the particle size time series of all oil droplets as the input of the dynamic prediction model, execute the dynamic prediction model, and use the critical change point of the oil-water decomposition in the output of the dynamic prediction model as the critical separation point of the oil in the oil-water dynamic separation tank.

[0032] Specifically, when implemented, the oil-water separation treatment of the kitchen wastewater based on the critical separation point can be achieved in the following way: when the critical separation point is reached, open the upper valve of the oil discharge port in the oil-water dynamic separation tank to concentrate and discharge the oil in the kitchen wastewater into the oil collection container, and keep the valve closed at non-critical separation points to allow the kitchen wastewater in the oil-water dynamic separation tank to fully settle.

[0033] In step 103, the kitchen wastewater after oil-water separation is connected to the biological treatment tank.

[0034] It should be noted that in this application, the biological treatment tank is a device for degrading organic pollutants through microorganisms, which can effectively remove harmful substances in water, improve water quality, and ensure that the water body meets the reuse standard during subsequent treatment. The biological treatment tank adjusts environmental parameters by analyzing the metabolic responses of the microbial community, thereby improving the degradation efficiency of pollutants and ultimately achieving water purification and resource recovery.

[0035] In step 104, determine the metabolic response curve of the composite microbial community on the biofilm carrier in the biological treatment tank, adaptively adjust the environmental parameters during the biological treatment process according to the metabolic response curve and the critical separation point, and then perform biological degradation on the kitchen wastewater in the biological treatment tank according to the adjusted environmental parameters.

[0036] In some embodiments, the metabolic response curve of the composite microbial community on the biofilm carrier in the biological treatment tank can be determined by the following steps: Put the biofilm carrier with the pre-prepared composite microbial community attached to the surface into the biological treatment tank; Determine all the metabolites of the composite microbial community on the biofilm carrier; For each metabolite of the composite microbial community on the biofilm carrier, the concentration change of the metabolite is monitored in real time to obtain the concentration change characteristics of the metabolite, and then the concentration change characteristics of each metabolite of the composite microbial community on the biofilm carrier are obtained; Determine the metabolic response curve of the composite microbial community according to the concentration change characteristics of all metabolites.

[0037] It should be noted that the biofilm carrier refers to the solid material used to provide the attachment and growth surface for microorganisms in the biological membrane method of sewage treatment. This biofilm carrier can promote the colonization of microorganisms, secrete extracellular polymers and form a stable biofilm, thereby improving the degradation efficiency of organic pollutants in wastewater. In this application, a biofilm carrier with a high specific surface area and a good pore structure (such as modified ceramic fillers or bioactive polymer matrices) needs to be selected to promote the attachment and growth of microorganisms, and the pre-prepared composite microbial community is inoculated on the surface of the biofilm carrier and a rich nutrient source is provided to promote the reproduction of microorganisms and the formation of biofilms.

[0038] Specifically, to determine all metabolites of the composite microbial community on the biofilm carrier, the following method can be used: samples of the liquid in the biological treatment tank can be taken at preset time intervals (such as one hour), and existing chromatographic analysis techniques (such as liquid chromatography analysis techniques) can be used to determine the types of metabolites of the composite microbial community in the biological treatment tank, thereby obtaining all metabolites of the composite microbial community on the biofilm carrier; among them, the metabolites refer to various chemical substances produced by microorganisms during their life activities, including: organic acids, amino acids, short-chain fatty acids, alcohols, gases (such as carbon dioxide, nitrogen), etc.

[0039] Specifically, to monitor the concentration change of metabolites in real time and obtain the concentration change characteristics of metabolites, the following method can be used: samples of the liquid in the biological treatment tank can be taken at preset time intervals (such as one hour), and existing chromatographic analysis techniques (such as liquid chromatography analysis techniques) can be used to determine the concentration of metabolites in the biological treatment tank, and the sequence composed of all concentrations in chronological order is used as the concentration change characteristics of metabolites; among them, the concentration change characteristics refer to the dynamic change law of metabolite concentration over time during the metabolic process of the microbial community during the biological treatment of kitchen wastewater. This concentration change characteristic helps to analyze the metabolic dynamics of the microbial community and provides a scientific basis for optimizing the sewage treatment process.

[0040] It should be noted that in this application, the metabolic response curve is a graph that describes the relationship between the metabolic activities of a microbial community and time under different environmental conditions. This metabolic response curve helps analyze the metabolic characteristics of the microbial community and provides a scientific basis for optimizing the sewage treatment process. Specifically, when implemented, the metabolic response curve of the composite microbial community can be determined according to the concentration change characteristics of all metabolites in the following way, that is: existing mathematical modeling methods (such as the Monod equation) can be used to fit the concentration change characteristics of all metabolites to obtain the metabolic response curve of the composite microbial community.

[0041] In some embodiments, the adaptive adjustment of environmental parameters in the biological treatment process according to the metabolic response curve and the critical separation point can be implemented by the following steps: Determine the biodegradation characteristics of the composite microbial community according to the metabolic response curve; Determine the pollutant concentration data of kitchen wastewater in the biological treatment tank according to the critical separation point; Construct an environmental regulation model for biological treatment of kitchen wastewater based on the biodegradation characteristics and the pollutant concentration data; Adjust the environmental parameters in the biological treatment process through the environmental regulation model.

[0042] Specifically, when implemented, the biodegradation characteristics of the composite microbial community can be determined according to the metabolic response curve in the following way, that is: existing microbial degradation analysis techniques (such as metabolomics techniques) can be used to analyze the degradation ability parameters of the composite microbial community under different environmental conditions through the metabolic response curve, and the set composed of all degradation ability parameters with environmental condition labels is used as the biodegradation characteristics of the composite microbial community; among them, the biodegradation characteristics are characteristic vectors that describe the degradation ability of the microbial community to pollutants under specific environmental conditions. This biodegradation characteristic helps improve the removal efficiency of pollutants in kitchen wastewater by adaptively adjusting environmental parameters and ensures that the effluent quality meets the reuse standard.

[0043] In specific implementation, the determination of the pollutant concentration data of kitchen wastewater in the biological treatment tank according to the critical separation point can be achieved in the following manner, that is: within a preset time period (such as one hour) after the critical separation point, samples of the liquid in the biological treatment tank can be taken at preset time intervals (such as one minute), and the concentrations of all pollutants in the biological treatment tank can be measured using existing chromatographic analysis techniques (such as liquid chromatography analysis techniques). The average value of the concentrations of all pollutants is used as the pollutant concentration of the kitchen wastewater in the biological treatment tank, and the time series of all pollutant concentrations arranged in chronological order is used as the pollutant concentration data of the kitchen wastewater in the biological treatment tank; among them, the pollutant concentration data is a data set describing the change in the mass of pollutants contained in kitchen wastewater over time during the biological treatment process. This pollutant concentration data helps to evaluate the efficiency of the biological treatment process, thereby optimizing environmental parameters and ensuring that the sewage treatment achieves the expected degradation effect.

[0044] In specific implementation, the construction of an environmental regulation model for biological treatment of kitchen wastewater based on the biological degradation characteristics and the pollutant concentration data can be achieved in the following manner, that is: an existing deep learning model (such as a recurrent neural network model) can be loaded, and the biological degradation characteristics and the pollutant concentration data are used as the training data of the deep learning model to train the deep learning model, and the trained deep learning model is used as the environmental regulation model for biological treatment of kitchen wastewater; among them, the environmental regulation model is a learning model that dynamically adjusts environmental parameters by analyzing the influence of changes in environmental parameters during sewage treatment on the microbial degradation ability and pollutant concentration to optimize microbial metabolic activities and pollutant degradation efficiency. This environmental regulation model ensures that the complex microbial community works under optimal conditions by precisely regulating environmental parameters (such as dissolved oxygen concentration, pH value, and temperature) during the biological treatment process, thereby increasing the biological degradation coefficient of pollutants in kitchen wastewater and ensuring that the effluent quality meets the reuse standard.

[0045] In specific implementation, the adjustment of environmental parameters during the biological treatment process by the environmental regulation model can be achieved in the following manner, that is: first, the numerical values of environmental parameters at the current moment are collected through real-time monitoring sensors (such as dissolved oxygen sensors, pH value sensors, and temperature sensors) installed in the biological treatment tank, and all the numerical values of environmental parameters are input into the environmental regulation model. The environmental regulation model compares the current numerical values of environmental parameters with the calculated optimal numerical values of environmental parameters. If a deviation is detected, an adjustment instruction is automatically generated and output to each actuator (such as a variable frequency aeration device, an automatic dosing pump, and an automatic temperature control device) to adjust the environmental parameters, so that the environment in the biological treatment tank always remains in the best state, thereby optimizing the biological degradation efficiency.

[0046] In some embodiments, the biodegradation of kitchen wastewater in the biological treatment tank according to the adjusted environmental parameters can be achieved by the following steps: Determine the biodegradation coefficient of pollutants in the kitchen wastewater according to the adjusted environmental parameters; Determine the standard degradation coefficient for the biological treatment of the kitchen wastewater; Biodegrade the kitchen wastewater in the biological treatment tank according to the standard degradation coefficient and the biodegradation coefficient.

[0047] Specifically, when implemented, determining the biodegradation coefficient of pollutants in the kitchen wastewater according to the adjusted environmental parameters can be achieved in the following manner: First, the kitchen wastewater can be biodegraded under the adjusted environmental parameters in the biological treatment tank. Then, obtain the pollutant concentration and the measurement time of the kitchen wastewater in the biological treatment tank measured for the first time from the pollutant concentration data, and use this pollutant concentration as the unprocessed pollutant concentration and this measurement time as the unprocessed measurement time. Next, during the biological treatment process, use existing chromatographic analysis techniques (such as liquid chromatography analysis techniques) to measure the concentration of all pollutants in the kitchen wastewater in the biological treatment tank at the current moment, and use the average value of the concentrations of all pollutants as the treated pollutant concentration of the kitchen wastewater in the current biological treatment tank. At the same time, record the measurement time as the treated measurement time. Finally, divide the difference between the natural logarithm of the treated pollutant concentration and the natural logarithm of the unprocessed pollutant concentration by the difference between the treated measurement time and the unprocessed measurement time. The obtained value is used as the biodegradation coefficient of the pollutants in the kitchen wastewater after biological treatment, thereby obtaining the biodegradation coefficient of the pollutants in the kitchen wastewater. Among them, the biodegradation coefficient is a quantitative index for measuring the degradation rate of pollutants in the kitchen wastewater by the microbial community. The larger the value of the biodegradation coefficient, the higher the degradation efficiency of the composite microbial community. The smaller the value of the biodegradation coefficient, the lower the degradation efficiency of the composite microbial community. The biodegradation coefficient helps to evaluate the removal efficiency of pollutants in the kitchen wastewater, provides a scientific basis for optimizing the disinfection and degradation process, and ensures that the effluent quality meets the reuse standard.

[0048] Specifically, when implemented, determining the standard degradation coefficient for the biological treatment of the kitchen wastewater can be achieved in the following manner: The standard degradation coefficient for the biological treatment of the kitchen wastewater can be preset according to the historical data of kitchen wastewater treatment. In this application, the standard degradation coefficient is preset to 0.8. In other embodiments, the standard degradation coefficient can be preset to other values according to other historical data, which is not specifically limited here.

[0049] In specific implementation, the biodegradation of kitchen wastewater in the biological treatment tank according to the standard degradation coefficient and the biodegradation coefficient can be achieved in the following manner, that is: during the biological treatment process, the biodegradation coefficient of pollutants in the kitchen wastewater can be monitored in real time. When the biodegradation coefficient is lower than the standard degradation coefficient, the environmental parameters of the biological treatment tank (such as dissolved oxygen concentration, temperature, and pH value) can be adaptively adjusted through the environmental regulation model to enhance the degradation ability of the microbial community in the biological treatment tank, thereby increasing the biodegradation coefficient of pollutants in the kitchen wastewater until the biodegradation coefficient is higher than the standard degradation coefficient, and then discharging the biologically degraded kitchen wastewater from the biological treatment tank.

[0050] In step 105, the biologically degraded water body is disinfected and sterilized to obtain a clean water body meeting the reuse standard.

[0051] In specific implementation, the disinfection and sterilization of the biologically degraded water body can be achieved in the following manner, that is: ultraviolet irradiation and ozone oxidation can be used in combination to disinfect and sterilize the biologically degraded water body. Ozone disinfection removes organic matter and microorganisms in the water through strong oxidation, and ultraviolet disinfection further destroys the DNA of organic matter and microorganisms in the water, ensuring that organic matter and microorganisms lose their reproductive ability. And during the whole process, the water quality parameters are monitored in real time through existing on-line water quality monitoring equipment, and the ozone dosage and disinfection time are automatically adjusted to ensure that the disinfection effect meets the water body reuse standard, which can be used for agricultural irrigation, industrial cooling or landscape water use.

[0052] In addition, on the other hand of the present application, in some embodiments, the present application provides a kitchen wastewater treatment system, which includes an intelligent control unit for multi-stage treatment. Refer to Figure 4 , this figure is a schematic structural diagram of the intelligent control unit for multi-stage treatment shown in some embodiments of the present application. The intelligent control unit 400 for multi-stage treatment includes: a collection module 401, a processing module 402, and an execution module 403, which are described as follows: Collection module 401. In the present application, the collection module 401 is mainly used to connect the filtered kitchen wastewater to the oil-water dynamic separation tank and extract the sedimentation characteristics of the kitchen wastewater in the oil-water dynamic separation tank under the condition of multiphase flow. Processing module 402. In the present application, the processing module 402 is mainly used to dynamically predict the aggregation state of the oil phase in the kitchen wastewater according to the oil droplet size distribution and the sedimentation characteristics of the kitchen wastewater in the oil-water dynamic separation tank, obtain the critical separation point of the grease in the oil-water dynamic separation tank, and perform oil-water separation treatment on the kitchen wastewater based on the critical separation point. Execution module 403. In the present application, the execution module 403 is mainly used to connect the kitchen wastewater after oil-water separation to the biological treatment tank. It should be noted that the processing module 402 in the present application is further configured to determine the metabolic response curve of the composite microbial community on the biofilm carrier in the biological treatment tank, adaptively adjust the environmental parameters during the biological treatment process according to the metabolic response curve and the critical separation point, and then biologically degrade the kitchen sewage in the biological treatment tank according to the adjusted environmental parameters; It should be noted that the execution module 403 in the present application is further configured to disinfect and sterilize the water body after biological degradation to obtain clean water meeting the reuse standard.

[0053] Each module of the intelligent control unit for multi-stage treatment in the above kitchen sewage treatment system can be implemented in whole or in part by software, hardware, and their combination. The above-mentioned modules can be embedded in the processor of the computer device in the form of hardware or be independent of it, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above-mentioned modules.

[0054] In addition, in one embodiment, the present application provides a computer device, which can be a server, and its internal structure diagram can be as Figure 5 shown. The computer device includes a processor, a memory, and a network interface connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store data for the intelligent control method for multi-stage treatment of kitchen sewage. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, it realizes an intelligent control method for multi-stage treatment of kitchen sewage.

[0055] Those skilled in the art can understand that Figure 5 the structure shown in

[0056] is only a block diagram of some structures related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine some components, or have different component arrangements.

[0057] In one embodiment, a computer-readable storage medium is provided, storing a computer program which, when executed by a processor, implements the steps in the above-described embodiment of the intelligent control method for multi-stage treatment of kitchen sewage.

[0058] In one embodiment, a computer program product or a computer program is provided. The computer program product or the computer program includes computer instructions which are stored in a computer-readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, causing the computer device to execute the steps in the above-described embodiment of the intelligent control method for multi-stage treatment of kitchen sewage.

[0059] Those of ordinary skill in the art can understand that all or part of the processes in the above-described embodiment methods can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it may include the processes of the above-described method embodiments. Among them, any reference to a memory, storage, database, or other medium used in the various embodiments provided in this application may include at least one of non-volatile and volatile memories. Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory, or optical memory, etc. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc.

[0060] The technical features of the above embodiments can be combined arbitrarily. For the sake of concise description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope described in this specification.

[0061] The above-described embodiments merely represent several implementation manners of this application. The description is relatively specific and detailed, but it should not be construed as a limitation on the scope of the invention patent. It should be noted that for those of ordinary skill in the art, without departing from the concept of this application, several modifications and improvements can still be made, and these all belong to the protection scope of this application. Therefore, the protection scope of the patent of this application should be subject to the appended claims.

Claims

1. An intelligent control method for multi-stage treatment of kitchen sewage, used in a kitchen sewage treatment system to perform multi-stage treatment of kitchen sewage, characterized in that: The method comprises the following steps: The filtered kitchen sewage is connected to the oil-water dynamic separation tank, and the sedimentation characteristics of the kitchen sewage in the oil-water dynamic separation tank under the multiphase flow dynamics are extracted; Dynamically predict the state of oil phase aggregation in the kitchen sewage according to the oil droplet size distribution and the sedimentation characteristics of the kitchen sewage in the oil-water dynamic separation chamber, obtain the critical separation point of the oil in the oil-water dynamic separation chamber, and perform oil-water separation treatment on the kitchen sewage based on the critical separation point; Connect the kitchen sewage after oil-water separation to the biological treatment tank; Determine the metabolic response curve of the composite microbial community on the biofilm carrier in the biological treatment chamber, adaptively adjust the environmental parameters in the biological treatment process according to the metabolic response curve and the critical separation point, and then biodegrade the kitchen sewage in the biological treatment chamber according to the adjusted environmental parameters; The water body after biodegradation is disinfected and sterilized to obtain clean water body that meets the reuse standards.

2. The method according to claim 1, characterized in that The filtered kitchen sewage can be obtained by controlling the self-cleaning screen to perform primary filtration and secondary filtration on the kitchen sewage, wherein the aperture of the self-cleaning screen for primary filtration is 5 mm, and the aperture of the self-cleaning screen for secondary filtration is 1 mm.

3. The method according to claim 1, characterized in that The sedimentation characteristics of kitchen sewage in the oil-water dynamic separation chamber under multiphase flow dynamics specifically include: Real-time tracking of the motion state of oil and water particles in kitchen sewage in the oil-water dynamic separation chamber under multiphase flow dynamics to obtain the motion trajectory of oil and water particles; Determining drift characteristics of oil-water particle settling in kitchen sewage based on the motion trajectory; Determine the temporal distribution characteristics of oil-water particle settling in kitchen wastewater; The sedimentation characteristics of kitchen sewage under multiphase flow dynamics are determined based on the drift characteristics and the time series distribution characteristics.

4. The method according to claim 1, characterized in that According to the oil droplet size distribution and the sedimentation characteristics of the kitchen sewage in the oil-water dynamic separation chamber, the aggregation state of the oil phase in the kitchen sewage is dynamically predicted, and the critical separation point of the oil in the oil-water dynamic separation chamber is obtained, which specifically includes: Determine the oil droplet size distribution of kitchen wastewater in the oil-water dynamic separation chamber; Constructing a dynamic prediction model of the oil phase aggregation state in kitchen sewage based on the sedimentation characteristics and the oil droplet size distribution; The critical separation point of oil and fat in the oil-water dynamic separation bin is determined by the dynamic prediction model.

5. The method according to claim 1, characterized in that Determining the metabolic response curve of the composite microbial community on the biofilm carrier in the biological treatment chamber specifically includes: Putting the pre-prepared biofilm carrier with a composite microbial community attached to the surface into the biological treatment chamber; Determine all metabolites of the complex microbial community on the biofilm carrier; For each metabolite of the composite microbial community on the biofilm carrier, the concentration change of the metabolite is monitored in real time to obtain the concentration change characteristics of the metabolite, and then the concentration change characteristics of each metabolite of the composite microbial community on the biofilm carrier are obtained; The metabolic response curve of the composite microbial community was determined based on the concentration change characteristics of all metabolites.

6. The method according to claim 1, characterized in that Adaptively adjusting the environmental parameters in the biological treatment process according to the metabolic response curve and the critical separation point specifically includes: determining the biodegradation characteristics of the composite microbial community based on the metabolic response curve; Determining pollutant concentration data of kitchen sewage in the biological treatment chamber according to the critical separation point; Constructing an environmental control model for biological treatment of kitchen sewage based on the biodegradation characteristics and the pollutant concentration data; The environmental parameters in the biological treatment process are adjusted by the environmental regulation model.

7. The method according to claim 1, characterized in that Ultraviolet irradiation and ozone oxidation are used in synergy to disinfect and sterilize.

8. A kitchen sewage treatment system, the system includes an intelligent control unit with multi-stage treatment, characterized in that: The intelligent control unit for multi-stage processing comprises: A collection module is used to connect the filtered kitchen sewage to the oil-water dynamic separation chamber and extract the sedimentation characteristics of the kitchen sewage in the oil-water dynamic separation chamber under the multiphase flow dynamics; A processing module, for dynamically predicting the aggregation state of the oil phase in the kitchen sewage according to the oil droplet size distribution and the sedimentation characteristics of the kitchen sewage in the oil-water dynamic separation bin, obtaining the critical separation point of the grease in the oil-water dynamic separation bin, and performing oil-water separation processing on the kitchen sewage based on the critical separation point; An execution module is used to connect the kitchen sewage after oil-water separation to the biological treatment tank; The processing module is used to determine the metabolic response curve of the composite microbial community on the biofilm carrier in the biological treatment chamber, adaptively adjust the environmental parameters in the biological treatment process according to the metabolic response curve and the critical separation point, and then biodegrade the kitchen sewage in the biological treatment chamber according to the adjusted environmental parameters; The execution module is used to disinfect and sterilize the water body after biodegradation to obtain clean water body that meets the reuse standard.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the intelligent control method for multi-stage treatment of kitchen sewage as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the intelligent control method for multi-stage treatment of kitchen sewage as described in any one of claims 1 to 7 are implemented.

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