Kitchen wastewater purification and recycling method and system

Abstract

The application provides a kitchen sewage purification circulation method and system, collects sewage removal data of stable water quality indexes when the sewage to be treated flows through a biological membrane reactor, determines the aeration supplement amount required for the micro-pore aeration auxiliary oxygen supply in the biological reaction process of the sewage to be treated in the aerobic zone through the sewage removal data and the real-time monitored dissolved oxygen concentration in the aerobic zone; predicts the settlement response trend of the biological reaction flocculation process in the constant sewage adsorption rate according to the grease content fluctuation characteristics, matches the dissolution mechanism according to the settlement response trend, and obtains the dissolution separation strategy of the biological dissolution process under the sewage settlement load; generates the purification efficiency indexes of the step-by-step biological treatment process according to the aeration supplement amount and the dissolution separation strategy, carries out the circulation regulation and control of the kitchen sewage treatment through the purification efficiency indexes, and stores the treated qualified water into a regenerated and reused water tank. The scheme of the application can realize the accurate regulation and control of the kitchen sewage purification circulation.

Description

Technical Field

[0001] This application relates to the field of wastewater treatment technology, and more specifically, to a method and system for purifying and circulating kitchen wastewater. Background Technology

[0002] In kitchen wastewater purification and recycling methods, wastewater treatment plays a crucial role in achieving the harmless treatment and resource reuse of wastewater. Staged biological treatment, as a key process in wastewater treatment, integrates core steps such as aeration control and dissolution separation to efficiently remove grease, suspended solids, and organic pollutants from kitchen wastewater. By regulating the treatment process through purification efficiency indicators, not only can the final effluent quality be consistently met, but the synergistic optimization of operating energy consumption and treatment costs can also be achieved. This provides important technical support for improving the intelligence level of kitchen wastewater treatment systems, increasing water resource utilization, and reducing the environmental impact of wastewater discharge.

[0003] In existing technologies, the purification and recycling of kitchen wastewater still faces significant technical obstacles. In traditional processes, wastewater treated in grease traps is directly pumped into biofilm reactors. Aeration and oxygen supply are often controlled by fixed parameters, failing to dynamically adjust based on real-time data on wastewater removal and dissolved oxygen concentration in the aerobic zone. This results in a severe disconnect between dissolved oxygen supply and actual degradation requirements in the aerobic biological reaction process, leading to significant fluctuations in biological treatment efficiency. Although some technologies attempt to optimize the solid-liquid separation process, existing technologies lack effective analytical methods to address the dynamic fluctuations in grease content in kitchen wastewater, making it difficult to adapt the dissolution and separation effect to different waste settling loads. Furthermore, the assessment of the entire process operation lacks quantitative purification efficiency indicators that integrate aeration replenishment and dissolution and separation strategies. This results in poor effluent quality stability, high operating energy consumption, and difficulty in improving water resource recycling rates. Therefore, achieving precise control of kitchen wastewater purification and recycling has become a major challenge for the industry. Summary of the Invention

[0004] This application provides a method and system for purifying and circulating kitchen wastewater, which can achieve precise control of the purification and circulation of kitchen wastewater.

[0005] In a first aspect, this application provides a method for purifying and recycling kitchen wastewater, comprising the following steps: Kitchen wastewater is treated by gravity separation in a grease trap to obtain wastewater with reduced suspended solids and grease content. At the same time, the wastewater is pumped into a biofilm reactor equipped with biological packing material. Collect the pollutant removal data of the wastewater to be treated as it flows through the biofilm reactor to stabilize water quality indicators. Determine the amount of aeration supplement required for microporous aeration to assist oxygen supply during the biological reaction process of the wastewater to be treated in the aerobic zone by combining the pollutant removal data with the dissolved oxygen concentration monitored in real time in the aerobic zone. The oil content fluctuation characteristics of kitchen wastewater are determined, and the sedimentation response trend of the bio-reaction flocculation process under a constant pollutant adsorption rate is predicted based on the oil content fluctuation characteristics. The sedimentation response trend is matched with the dissolution mechanism to obtain the dissolution and separation strategy of the bio-dissolution process under pollutant sedimentation load. Based on the aeration supplementation amount and the dissolution and separation strategy, a purification efficiency index for the step-by-step biological treatment process is generated. The purification efficiency index is then used to regulate the kitchen wastewater treatment process, and the treated clean water that meets the standards is stored in a reclaimed water tank.

[0006] Preferably, the collection of pollutant removal data for stable water quality indicators of the wastewater to be treated as it flows through the biofilm reactor specifically includes: Construct a multi-parameter online water quality monitoring module integrated into the biofilm reactor; The online water quality monitoring module continuously collects pollutant index data of the wastewater to be treated as it flows through the biofilm reactor. The pollutant removal rate is calculated based on the collected pollutant index data, and the correlation between the pollutant removal rate and stable water quality indicators is determined. The operating conditions of the biofilm reactor are dynamically adjusted based on the pollutant removal correlation, and pollutant removal data of stable water quality indicators when flowing through the biofilm reactor are output.

[0007] Preferably, the aeration supplement required for microporous aeration to assist oxygen supply during the biological reaction process of the wastewater to be treated in the aerobic zone, determined by the waste removal data and the dissolved oxygen concentration monitored in real time in the aerobic zone, specifically includes: The dissolved oxygen concentration threshold required to maintain the target removal efficiency is determined based on the organic pollutant removal rate in the aforementioned waste removal data and the real-time dissolved oxygen concentration in the aerobic zone. The dissolved oxygen deficit in the aerobic zone biological reaction process is determined by the real-time dissolved oxygen concentration and the dissolved oxygen concentration threshold. The required aeration supplement amount for microporous aeration-assisted oxygen supply is determined based on the dissolved oxygen deficit and the aeration efficiency characteristics during the biological reaction process.

[0008] Preferably, the dissolution mechanism is matched to the sedimentation response trend to obtain the dissolution and separation strategy of the biological dissolution process under the sewage sedimentation load, specifically including: Based on the sedimentation response trend, the corresponding biological dissolution kinetic model in the dissolution mechanism library is matched, and the theoretical dissolution efficiency under the current sewage sedimentation load is calculated. Based on a multi-objective optimization algorithm, the theoretical dissolution efficiency and the operating cost of the bioreactor are synergistically optimized to generate biodissolution and separation conditions under a specific sedimentation load. Determine the dissolution and separation strategy for the biodissolution process under sludge settling load by considering all biodissolution and separation conditions.

[0009] Preferably, the purification efficiency index of the staged biological treatment process generated based on the aeration supplementation amount and the dissolution and separation strategy specifically includes: Based on the energy consumption factor associated with the aeration replenishment amount and the separation efficiency factor associated with the dissolution and separation strategy, a purification weight coefficient for evaluating purification efficiency is determined. Based on the purification weight coefficient, a multi-objective calculation model for purification efficiency is constructed, which integrates aeration energy consumption, pollutant removal rate, and sludge reduction rate. The multi-objective calculation model for purification efficiency is used to simulate the operating parameters of the step-by-step biological treatment process and output purification efficiency indicators.

[0010] Preferably, the bioreactor process in the aerobic zone is a metabolic process in which aerobic microorganisms attached to the biological packing material utilize dissolved oxygen to degrade organic pollutants in the wastewater to be treated within the aerobic zone of the biofilm reactor.

[0011] Preferably, microporous aeration-assisted oxygen supply is a method of supplying oxygen by releasing tiny bubbles into the aerobic zone of the biofilm reactor through a microporous aerator to supplement the dissolved oxygen required for biological reactions and ensure the efficiency of waste degradation.

[0012] Secondly, this application provides a kitchen wastewater purification and recycling system, comprising: The collection module is used to treat kitchen wastewater by gravity separation in a grease trap to obtain wastewater with reduced suspended solids and oil content. At the same time, the wastewater is pumped into a biofilm reactor equipped with biological packing material. The processing module is used to collect the pollutant removal data of the wastewater to be treated as it flows through the biofilm reactor to stabilize water quality indicators. The pollutant removal data and the dissolved oxygen concentration monitored in real time in the aerobic zone are used to determine the amount of aeration supplement required when the wastewater to be treated is subjected to microporous aeration to assist oxygen supply during the biological reaction process in the aerobic zone. The processing module is also used to determine the oil content fluctuation characteristics of kitchen wastewater, predict the sedimentation response trend of the bio-reaction flocculation process under a constant pollutant adsorption rate based on the oil content fluctuation characteristics, and perform dissolution mechanism matching on the sedimentation response trend to obtain the dissolution and separation strategy of the bio-dissolution process under pollutant sedimentation load. The execution module is used to generate a purification efficiency index for the step-by-step biological treatment process based on the aeration supplementation amount and the dissolution and separation strategy, and then use the purification efficiency index to cyclically regulate the kitchen wastewater treatment, and store the treated qualified clean water into the reclaimed water tank.

[0013] Thirdly, this application provides a computer device including a memory and a processor, the memory storing code, and the processor being configured to acquire the code and execute the above-described kitchen wastewater purification and circulation method.

[0014] Fourthly, this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described kitchen wastewater purification and circulation method.

[0015] The technical solutions provided by the embodiments disclosed in this application have the following beneficial effects: In this embodiment, kitchen wastewater is first treated by gravity separation in an oil separator to obtain wastewater with reduced suspended solids and grease content. Simultaneously, the wastewater is pumped into a biofilm reactor equipped with biological packing material. Next, data on the removal of pollutants as the wastewater flows through the biofilm reactor are collected to stabilize water quality indicators. The aeration amount required for microporous aeration-assisted oxygen supply during the aerobic biological reaction process is determined by comparing the pollutant removal data with the dissolved oxygen concentration monitored in real-time within the aerobic zone. Then, the grease content fluctuation characteristics of the kitchen wastewater are determined. Based on these characteristics, the sedimentation response trend of the biological flocculation process at a constant pollutant adsorption rate is predicted. The sedimentation response trend is then matched with a dissolution mechanism to obtain a dissolution and separation strategy under pollutant sedimentation load. Finally, a purification efficiency index for the step-by-step biological treatment process is generated based on the aeration amount and the dissolution and separation strategy. This purification efficiency index is then used to regulate the kitchen wastewater treatment process, and the treated, compliant water is stored in a reclaimed water tank.

[0016] Therefore, this application demonstrates that the kitchen wastewater purification and circulation method, which combines oil-water pretreatment, precise aeration control, targeted dissolution and separation strategies, and closed-loop circulation control driven by quantitative indicators, achieves precise control and quantitative closed-loop operation of the kitchen wastewater purification and circulation. Firstly, kitchen wastewater undergoes gravity oil-water separation in an oil separator before being pumped into a biofilm reactor equipped with biological packing material. This allows the system to pre-reduce the suspended solids and oil content in the wastewater through gravity oil-water separation, thereby providing a stable influent water quality foundation for the subsequent biochemical degradation process in the biofilm reactor and avoiding high concentrations of suspended solids. Oils and grease can clog or inhibit the activity of microorganisms in the biological packing material, ensuring the efficient operation of the biological treatment unit. Secondly, by collecting data on the removal of pollutants as the wastewater flows through the biofilm reactor, stabilizing water quality indicators, and using this data in conjunction with the real-time dissolved oxygen concentration in the aerobic zone, the aeration dosage is determined. This allows for dynamic and precise aeration control of the aerobic zone's biological reaction process based on real-time monitoring data, avoiding inefficient biodegradation due to insufficient aeration or energy waste caused by excessive aeration, effectively improving the treatment efficiency and energy saving of the biofilm reactor. Then, the kitchen wastewater... Based on the fluctuation characteristics of grease content in kitchen wastewater, the sedimentation response trend is predicted according to these fluctuation characteristics. A dissolution separation strategy is obtained by matching the dissolution response trend with the dissolution mechanism. When the grease content in kitchen wastewater dynamically fluctuates with the dining period, a complete quantitative link is constructed from grease fluctuation characteristics to sedimentation response trend and then to dissolution separation strategy. This generates targeted dissolution separation strategies adapted to different sedimentation loads, thus avoiding instability in separation effect due to grease content fluctuations and significantly improving the separation efficiency of pollutants and the adaptability of the treatment process. Finally, based on the aeration supplementation amount and the dissolution separation strategy, a purification efficiency index for the step-by-step biological treatment process is generated. This purification efficiency index is then used to regulate the kitchen wastewater treatment cycle, and the treated compliant water is stored in a reclaimed water tank, ensuring stable compliance of the final effluent quality. Simultaneously, the resource reuse of kitchen wastewater is realized, further significantly improving the intelligence level and operational stability of the entire treatment system. This achieves the technical objective of precise aeration regulation, targeted dissolution separation, and quantitative index-driven closed-loop operation in the kitchen wastewater purification cycle. In summary, the proposed solution can achieve precise regulation of the kitchen wastewater purification cycle. Attached Figure Description

[0017] Figure 1 This is an exemplary flowchart of a kitchen wastewater purification and recycling method according to some embodiments of this application; Figure 2 This is a flowchart illustrating the working application of gravity oil separation treatment according to some embodiments of this application; Figure 3 This is a flowchart illustrating the process of determining the settlement response trend according to some embodiments of this application; Figure 4 This is a schematic diagram of the structure of a kitchen wastewater purification and circulation system according to some embodiments of this application; Figure 5 This is a schematic diagram of the structure of a computer device for implementing a kitchen wastewater purification and recycling method according to some embodiments of this application. Detailed Implementation

[0018] To better understand the technical solution of this application, the technical solution of this application will be described in detail below with reference to the accompanying drawings and specific embodiments.

[0019] refer to Figure 1 The figure is an exemplary flowchart of a kitchen wastewater purification and recycling method according to some embodiments of this application. The kitchen wastewater purification and recycling method 100 mainly includes the following steps: In step 101, the kitchen wastewater is subjected to gravity oil separation in an oil separator to obtain wastewater with reduced suspended solids and oil content. At the same time, the wastewater is pumped into a biofilm reactor equipped with biological packing material.

[0020] It should be noted that the wastewater to be treated in this application refers to kitchen wastewater that has been treated by gravity separation in an oil separator, resulting in a reduction in suspended solids and grease content, and is then used for degradation treatment in a biofilm reactor; the biofilm reactor equipped with biological packing material in this application refers to a treatment device that carries biological packing material inside to provide an attachment carrier for microorganisms and is used to degrade pollutants in the wastewater to be treated.

[0021] In practice, kitchen wastewater undergoes gravity separation in an grease trap to obtain wastewater with reduced suspended solids and grease content. Simultaneously, this wastewater is pumped into a biofilm reactor equipped with biological packing material. This can be achieved as follows: Kitchen wastewater flows by gravity into a horizontal flow grease trap through a dedicated pipeline. A flow straightener is installed at the inlet end of the trap to ensure even water flow. The wastewater remains in the trap for 30-60 minutes, utilizing the density difference between grease and water to achieve gravity separation. Grease floats on the surface and is scraped to a collection tank every 2 hours by an electric scraper. Suspended solids settle to the bottom of the trap and are discharged once daily through a sludge discharge pipe at the bottom, resulting in wastewater with reduced suspended solids and grease content. Subsequently, a self-priming wastewater pump transports this wastewater to the biofilm reactor, which is filled with 60-70% combined elastic packing material. The wastewater enters from the bottom of the reactor and flows upwards along the packing layer, ensuring full contact with the biological packing material. Further details are omitted here.

[0022] In some embodiments, reference Figure 2As shown in the figure, this is a flowchart illustrating the working process of gravity oil separation treatment in some embodiments of this application. The figure shows the working process of gravity oil separation treatment for kitchen wastewater. After entering the device through the inlet, the kitchen wastewater first flows into the bar screen filtration zone, where larger residues are intercepted and discharged from the slag outlet. Then, the wastewater enters the gravity oil separation zone, where floating oil floats on the liquid surface due to density difference and is discharged from the oil outlet. The water layer after oil separation enters the clear water zone, and the purified wastewater flows out from the purified water outlet. The sediment in the clear water zone is discharged through the sewage outlet, thus completing the gravity oil separation pretreatment of kitchen wastewater.

[0023] In step 102, the data on the removal of pollutants from the wastewater to be treated as it flows through the biofilm reactor to stabilize water quality indicators are collected. The amount of aeration required for microporous aeration to assist oxygen supply during the biological reaction process of the wastewater to be treated in the aerobic zone is determined by combining the pollutant removal data with the dissolved oxygen concentration monitored in real time in the aerobic zone.

[0024] In some embodiments, collecting data on the removal of pollutants from stable water quality indicators of the wastewater as it flows through the biofilm reactor can be achieved using the following steps: Construct a multi-parameter online water quality monitoring module integrated into the biofilm reactor; The online water quality monitoring module continuously collects pollutant index data of the wastewater to be treated as it flows through the biofilm reactor. The pollutant removal rate is calculated based on the collected pollutant index data, and the correlation between the pollutant removal rate and stable water quality indicators is determined. The operating conditions of the biofilm reactor are dynamically adjusted based on the pollutant removal correlation, and pollutant removal data of stable water quality indicators when flowing through the biofilm reactor are output.

[0025] In specific implementation, the multi-parameter online water quality monitoring module integrated into the biofilm reactor can be constructed in the following way: COD, BOD, ammonia nitrogen, and suspended solids are selected as core indicators, and corresponding online COD analyzers using the potassium dichromate method, online BOD analyzers using the microbial electrode method, ammonia nitrogen ion electrode sensors, and suspended solids turbidity sensors are used. These sensors are installed in the reactor inlet and outlet pipes, respectively, and connected to the module host in the control cabinet via an RS485 interface. Hardware integration and power-on debugging are then completed, thus completing the construction of the multi-parameter online water quality monitoring module. The continuous collection of pollutant index data of the wastewater flowing through the biofilm reactor by the online water quality monitoring module can be achieved in the following way: The module host is equipped with a 5-minute interval monitoring system. The system collects data once, triggering sensor synchronization: the inlet sensor collects the initial value of the indicator before the wastewater enters the reactor, and the outlet sensor collects the final value after the wastewater has passed through the reactor; the data is stored in the host SQLite database. If a certain indicator fluctuates by more than ±20%, the host triggers the sensor to retry the data collection, thus obtaining the pollutant indicator data; the pollutant removal rate is calculated based on the collected pollutant indicator data, and the correlation between the pollutant removal rate and stable water quality indicators can be determined in the following way: the removal rate is calculated according to the formula "Pollutant Removal Rate = (Influent Indicator Value - Effluent Indicator Value) / Influent Indicator Value × 100%"; a stable threshold is set, for example, COD fluctuation ≤ ±5%, and the average removal rate within this threshold is statistically analyzed to establish a "Stable Water Quality Range - Average Removal Rate" correlation table (e.g., COD). (100-110 mg / L corresponds to a removal rate of 85%), and this correlation table is used as the correlation quantity for waste removal. The operating conditions of the biofilm reactor are dynamically adjusted based on this correlation quantity, and the waste removal data for stable water quality indicators flowing through the biofilm reactor can be output in the following way: Compare the real-time removal rate with the average correlation quantity. If the real-time COD removal rate (80%) is lower than 85% of the correlation quantity for waste removal, then adjust the wastewater retention time in the reactor from 2 hours to 2.5 hours, or reduce the water flow velocity in the packing layer from 0.5 m / h to 0.4 m / h. Continue monitoring until the removal rate returns to the average range, and then output the waste removal data under the current stable water quality. Through the above method, the waste removal data for stable water quality indicators of the wastewater flowing through the biofilm reactor can be obtained.

[0026] It should be noted that the multi-parameter online water quality monitoring module in this application refers to a set of devices integrated into the biofilm reactor to collect real-time data on pollutant indicators of the wastewater to be treated; the pollutant indicator data in this application refers to parameter data reflecting the pollutant content of the wastewater to be treated; the pollutant removal rate in this application refers to the proportion of the difference between the influent and effluent values ​​of the corresponding pollutant indicators when the wastewater to be treated flows through the biofilm reactor to the influent value; the stable water quality index in this application refers to the state in which the fluctuation of pollutant indicators is within a preset small range when the wastewater flows through the reactor; the operating conditions of the biofilm reactor in this application refer to the set of key operating parameters affecting its pollutant degradation efficiency, specifically including the adjustable operating parameters such as the residence time of wastewater in the reactor and the flow velocity of water flowing through the packing layer; the pollutant removal correlation quantity in this application refers to the data on the correspondence between the stable water quality index range and the corresponding average pollutant removal rate; the pollutant removal data in this application refers to the data set consisting of the pollutant influent index, effluent index, and removal rate when the wastewater to be treated flows through the reactor under stable water quality index conditions.

[0027] Preferably, in some embodiments, determining the required aeration supplement for microporous aeration-assisted oxygen supply during the biological reaction process of the wastewater to be treated in the aerobic zone by using the waste removal data and the dissolved oxygen concentration monitored in real time in the aerobic zone can be achieved through the following steps: The dissolved oxygen concentration threshold required to maintain the target removal efficiency is determined based on the organic pollutant removal rate in the aforementioned waste removal data and the real-time dissolved oxygen concentration in the aerobic zone. The dissolved oxygen deficit in the aerobic zone biological reaction process is determined by the real-time dissolved oxygen concentration and the dissolved oxygen concentration threshold. The required aeration supplement amount for microporous aeration-assisted oxygen supply is determined based on the dissolved oxygen deficit and the aeration efficiency characteristics during the biological reaction process.

[0028] It should be noted that the biological reaction process in the aerobic zone of this application refers to the metabolic process in which aerobic microorganisms attached to the biological packing material in the aerobic zone of the biofilm reactor utilize dissolved oxygen to degrade organic pollutants in the wastewater to be treated; the microporous aeration-assisted oxygen supply in this application refers to the oxygen supply method of releasing microbubbles into the aerobic zone of the biofilm reactor through microporous aerators to supplement the dissolved oxygen required for the biological reaction and ensure the efficiency of pollutant degradation.

[0029] In specific implementation, the dissolved oxygen concentration threshold required to maintain the target removal efficiency can be determined based on the organic pollutant removal rate and the real-time dissolved oxygen concentration in the aerobic zone from the pollutant removal data in the following manner: Select the organic pollutant removal rate and the corresponding real-time dissolved oxygen concentration data for 72 consecutive hours from the pollutant removal data as samples, use a univariate quadratic regression model for fitting, and use the target organic pollutant removal efficiency preset in this application as the input value, and substitute it into the fitting model to obtain the initial dissolved oxygen concentration threshold. Subsequently, a 48-hour verification experiment was conducted in the aerobic zone of the biofilm reactor. The initial threshold concentration was maintained, and the removal rate was monitored to ensure it remained stable and met the target. The initial threshold was fine-tuned by ±0.1 mg / L, and the dissolved oxygen concentration threshold for maintaining the target removal efficiency was finally determined. The dissolved oxygen deficit in the aerobic zone bioreactor process can be achieved by setting the following rules for calculating the dissolved oxygen deficit: when the real-time dissolved oxygen concentration is less than the dissolved oxygen concentration threshold, the dissolved oxygen deficit is equal to the dissolved oxygen concentration threshold minus the real-time dissolved oxygen concentration; when the real-time dissolved oxygen concentration is greater than or equal to the dissolved oxygen concentration threshold, the dissolved oxygen deficit is 0. An oxygen consumption correction coefficient for the aerobic zone biological packing material is introduced. This coefficient is determined experimentally by measuring the baseline oxygen consumption rate of the microorganisms attached to the biological packing material. The calculated baseline deficit is multiplied by the correction coefficient to obtain the final dissolved oxygen deficit. Based on the dissolved oxygen deficit and the aeration efficiency characteristics during the biological reaction process when microporous aeration is used to assist oxygen supply, the required aeration supplement for microporous aeration can be determined as follows: the aeration efficiency characteristics of the microporous aerator are measured by combining clean water experiments and actual wastewater experiments. The standard oxygen transfer efficiency is measured in the clean water experiment, and the correction coefficient for oxygen transfer efficiency in wastewater is measured in the actual wastewater experiment. The product of the two is the actual aeration efficiency. A calculation model for the aeration supplement is established: the aeration supplement equals the dissolved oxygen deficit divided by the actual aeration efficiency. This will not be elaborated here. Using the above method, the required aeration supplement for microporous aeration assists oxygen supply can be obtained.

[0030] It should be noted that, in this application, the organic pollutant removal rate refers to the proportion of organic pollutants removed from the wastewater after treatment in the aerobic zone of the biofilm reactor; the real-time dissolved oxygen concentration refers to the actual dissolved oxygen content in the water body continuously and in real-time obtained by online monitoring equipment within the aerobic zone of the biofilm reactor; the target removal efficiency refers to the pre-set organic pollutant removal proportion that the aerobic zone of the biofilm reactor must stably achieve when treating the wastewater; the dissolved oxygen concentration threshold refers to the minimum dissolved oxygen concentration that supports the target organic pollutant removal efficiency of the aerobic zone of the biofilm reactor; the dissolved oxygen deficit refers to the difference between the real-time dissolved oxygen concentration and the dissolved oxygen concentration threshold in the aerobic zone of the biofilm reactor; the aeration efficiency characteristic refers to the amount of dissolved oxygen that can be transferred to the wastewater to be treated per unit aeration volume; and the aeration supplementation amount refers to the additional aeration volume required by the microporous aeration auxiliary oxygen supply system to compensate for the dissolved oxygen deficit in the aerobic zone of the biofilm reactor.

[0031] Furthermore, it should be noted that reliable waste removal data is ensured through multi-parameter online monitoring and dynamic reactor control; the dissolved oxygen concentration threshold and deficit are accurately determined, and the aeration supplement is calculated based on the measured aeration efficiency. This avoids both insufficient aeration leading to inefficient biological reactions and excessive aeration causing energy waste, ensuring stable and efficient reactions in the aerobic zone. This provides crucial support for the cyclical control of the kitchen wastewater treatment system, improving overall operational efficiency and stability.

[0032] In step 103, the oil content fluctuation characteristics of kitchen wastewater are determined, and the sedimentation response trend of the bio-reactive flocculation process under a constant pollutant adsorption rate is predicted based on the oil content fluctuation characteristics. The sedimentation response trend is then matched with a dissolution mechanism to obtain the dissolution and separation strategy of the bio-dissolution process under pollutant sedimentation load.

[0033] It should be noted that the kitchen wastewater in this application contains a large amount of animal and vegetable oils, food scraps, vegetable leaves and fruit peels and other suspended solids, as well as a variety of organic pollutants such as proteins, starches, sugars and fats. It is also accompanied by a certain amount of nutrients such as ammonia nitrogen and phosphates, as well as a small amount of detergent residues, inorganic salts and trace heavy metal ions. Its water quality is characterized by high oil content, high concentration of suspended solids, rich variety of organic pollutants and significant fluctuations in concentration with the time of meal.

[0034] In practice, the characteristics of oil content fluctuation in kitchen wastewater can be determined as follows: a fixed monitoring point is set up at the outlet of the main kitchen wastewater collection pipe, and an infrared photometric online oil monitoring instrument is used for continuous monitoring. The monitoring period is no less than 7 days to cover the complete dining pattern. The monitoring frequency is to collect real-time oil concentration data every 15 minutes. After all the collected data is recorded, it is statistically analyzed to calculate the maximum, minimum, average and coefficient of variation of the concentration. At the same time, the occurrence time and fluctuation period length of the concentration peak and trough are determined, and the characteristics of oil content fluctuation in kitchen wastewater are finally determined. This will not be elaborated here.

[0035] It should be noted that the oil content fluctuation characteristics in this application refer to the set of patterns in the change of oil concentration in kitchen wastewater over time.

[0036] In some embodiments, reference Figure 3 As shown in the figure, this is a flowchart illustrating the determination of sedimentation response trends in some embodiments of this application. In this embodiment, the prediction of the sedimentation response trend of the bioreactive flocculation process at a constant pollutant adsorption rate based on the oil content fluctuation characteristics can be achieved using the following steps: In step 1031, the flocculation distribution index associated with bioflocculation characteristics in kitchen wastewater is determined based on the oil content fluctuation characteristics. In step 1032, the structural stability and density variation trend of the bioflocs under the current constant pollutant adsorption rate are predicted based on the flocculation distribution index. In step 1033, the sedimentation response trend of the bioreactive flocculation process at a constant pollutant adsorption rate is determined by the degree of structural stability and the density change trend.

[0037] It should be noted that the bioflocculation characteristics in this application refer to the inherent properties of bioflocculation formed by pollutants in kitchen wastewater during the bioreaction flocculation process; the flocculation distribution index in this application refers to a parameter that quantitatively reflects the influence of the distribution state of oil in wastewater on the bioflocculation characteristics; the constant pollutant adsorption rate in this application refers to the stable adsorption rate of pollutants in wastewater by the biological packing material in the biofilm reactor; the structural stability in this application refers to the ability of bioflocculation to resist external disturbances and maintain its structural integrity; the density change trend in this application refers to the variation law of bioflocculation density with oil content fluctuation and adsorption process; and the sedimentation response trend in this application refers to the variation law of bioflocculation sedimentation rate and sedimentation efficiency with oil content fluctuation during the bioreaction flocculation process.

[0038] In specific implementation, firstly, determining the flocculation distribution index associated with bioflocculation characteristics in kitchen wastewater based on the oil content fluctuation characteristics can be achieved in the following way: selecting the concentration peak, fluctuation period, and time period distribution ratio in the oil content fluctuation characteristics as core input variables, using a multiple linear weighted calculation model, determining the weighting coefficients of each variable through laboratory simulation experiments, and substituting the real-time monitored fluctuation characteristic data into the model to calculate the initial flocculation distribution index. Subsequently, three groups of actual kitchen wastewater samples with different fluctuation characteristics are selected, their actual flocculation characteristics are measured, the initial index is corrected, and finally the flocculation distribution index accurately associated with bioflocculation characteristics is determined. Secondly, predicting the structural stability and density change trend of bioflocculation under the current constant pollutant adsorption rate based on the flocculation distribution index can be achieved in the following way: constructing a support vector machine prediction model, using the flocculation distribution index as the model input variable, and the structural stability and density change trend of bioflocculation as the model output variables. Ten wastewater samples with different flocculation distribution indices were selected. Under simulated constant pollutant adsorption rate conditions in the laboratory, the structural stability and density changes of the flocs corresponding to each sample were measured and used as training samples to train the model. Then, the sedimentation response trend of the bioreactive flocculation process at a constant pollutant adsorption rate was determined by the structural stability and density change trends. This can be achieved by constructing a correlation model between structural stability, density change trends, and sedimentation response trends, and selecting sedimentation velocity and sedimentation efficiency as evaluation indicators of the sedimentation response trend. The predicted structural stability and density change trend data were substituted into the correlation model to calculate the corresponding changes in sedimentation velocity and sedimentation efficiency. These changes in sedimentation velocity and sedimentation efficiency were then used as the sedimentation response trend.

[0039] It should be noted that by transforming the qualitative characteristics of oil content fluctuations into quantitative flocculation distribution indices, a precise correlation between oil fluctuations and bioflocculation characteristics is established, avoiding the ambiguity of qualitative analysis. Furthermore, under constant pollutant adsorption rates, the structural stability and density change trends of bioflocculations are accurately predicted. Finally, by integrating the core characteristics of flocs to determine sedimentation response trends, a complete quantitative link from oil fluctuations to sedimentation patterns is constructed, significantly improving the reliability and accuracy of sedimentation response trend prediction and effectively ensuring the efficiency and stability of pollutant separation processes in kitchen wastewater treatment.

[0040] In some embodiments, the dissolution mechanism matching of the sedimentation response trend to obtain the dissolution and separation strategy of the biological dissolution process under the sewage sedimentation load can be achieved by the following steps: Based on the sedimentation response trend, the corresponding biological dissolution kinetic model in the dissolution mechanism library is matched, and the theoretical dissolution efficiency under the current sewage sedimentation load is calculated. Based on a multi-objective optimization algorithm, the theoretical dissolution efficiency and the operating cost of the bioreactor are synergistically optimized to generate biodissolution and separation conditions under a specific sedimentation load. Determine the dissolution and separation strategy for the biodissolution process under sludge settling load by considering all biodissolution and separation conditions.

[0041] It should be noted that the dissolution mechanism library in this application is a database storing the biological dissolution mechanisms and corresponding kinetic models corresponding to different sedimentation characteristics; the biological dissolution kinetic model in this application is a mathematical model describing the relationship between the pollutant degradation rate and sedimentation load and reaction conditions during the biological dissolution process; the pollutant sedimentation load in this application is the total amount of pollutants participating in the biological reaction flocculation process and requiring separation by sedimentation in a unit volume of wastewater to be treated; the theoretical dissolution efficiency in this application is the pollutant dissolution removal ratio calculated by the biological dissolution kinetic model; the biological dissolution separation conditions in this application refer to the balance of reagent dosage, reaction time, and stirring intensity; and the dissolution separation strategy in this application refers to the operational plan formed by integrating biological dissolution separation conditions under different pollutant sedimentation loads.

[0042] In practice, firstly, based on the sedimentation response trend, the corresponding bio-dissolution kinetic model in the dissolution mechanism library is matched, and the theoretical dissolution efficiency under the current sewage sedimentation load is calculated. This can be achieved in the following way: a dissolution mechanism library is pre-constructed, and the models in the library cover types suitable for different sedimentation response trends, such as gravity sedimentation, flocculation dissolution, and air flotation dissolution. Each model is associated with characteristic parameter ranges such as sedimentation velocity and sedimentation efficiency. The similarity between the determined core indicators of the sedimentation response trend (settling velocity and efficiency variation range) and the characteristic parameter ranges of the models in the library is calculated to match the optimal bio-dissolution kinetic model. Substitute the current sedimentation load data (amount of sediment to be settled per unit volume of wastewater) into the model and calculate the theoretical dissolution efficiency using the formula: "Theoretical dissolution efficiency = (initial sediment amount - model-predicted remaining sediment amount) / initial sediment amount × 100%". Then, based on a multi-objective optimization algorithm, the theoretical dissolution efficiency and the bioreactor operating cost are synergistically optimized. The bioreactor separation conditions under a specific sedimentation load can be achieved in the following way: Select a non-dominated sorting genetic algorithm as the multi-objective optimization algorithm, set the optimization objectives as "maximizing theoretical dissolution efficiency" and "minimizing bioreactor operating cost", and use the dosage of reagents, reaction time, and stirring intensity as decision variables, setting the range of variable values ​​(based on the feasible interval determined by laboratory tests). Input the theoretical dissolution efficiency data and the cost accounting model (cost = reagent unit price × dosage + energy consumption unit price × operating time + equipment wear and tear allocation), and search for the Pareto optimal solution through algorithm iteration. Based on actual engineering needs (such as prioritizing cost control or efficiency improvement), the optimal solution is selected, corresponding to the biodissolution separation conditions under specific settling loads. Finally, the dissolution separation strategy for the biodissolution process under waste settling loads is determined through all biodissolution separation conditions. This can be achieved in the following way: collect all biodissolution separation conditions corresponding to different waste settling loads, divide them into three intervals (low, medium, and high) according to the settling load, and analyze the common characteristics and key difference parameters of the separation conditions within each interval. Construct a strategy framework, clarifying the core operations corresponding to each interval: including the type and precise dosage of reagents, the reaction time control range, stirring or aeration intensity parameters, and the selection of separation methods (gravity settling / air flotation, etc.). Select typical settling load values ​​for each interval to conduct pilot-scale experiments, execute the operations according to the framework, and monitor the dissolution effect and cost. Fine-tune the parameters based on the experimental results to ensure that the pollutant removal rate meets the standard and the cost is optimal after the strategy is implemented in each interval, thus obtaining the dissolution separation strategy for the biodissolution process under waste settling loads.

[0043] It should be noted that this application's solution provides a reliable foundation for predicting sedimentation response trends by accurately determining the fluctuation characteristics of grease content in kitchen wastewater. Furthermore, it constructs a complete quantitative link from grease content fluctuation characteristics to sedimentation response trends in the bioreactor flocculation process, significantly improving the accuracy and reliability of sedimentation response trend prediction. Then, through dissolution mechanism matching and multi-objective optimization, it generates biodissolution separation conditions adapted to different pollutant sedimentation loads, ultimately integrating them into a systematic dissolution separation strategy. This effectively achieves synergistic optimization between pollutant separation performance and bioreactor operating costs, ensuring that the biodissolution process can accurately adapt to dynamic changes in pollutant sedimentation loads, and significantly improving the adaptability of the pollutant separation stage in the kitchen wastewater treatment system.

[0044] In step 104, a purification efficiency index for the step-by-step biological treatment process is generated based on the aeration supplementation amount and the dissolution and separation strategy. The purification efficiency index is then used to regulate the kitchen wastewater treatment process in a cyclical manner, and the treated clean water that meets the standards is stored in a reclaimed water tank.

[0045] In some embodiments, generating purification efficiency indicators for a staged biological treatment process based on the aeration supplementation rate and the dissolution separation strategy can be achieved through the following steps: Based on the energy consumption factor associated with the aeration replenishment amount and the separation efficiency factor associated with the dissolution and separation strategy, a purification weight coefficient for evaluating purification efficiency is determined. Based on the purification weight coefficient, a multi-objective calculation model for purification efficiency is constructed, which integrates aeration energy consumption, pollutant removal rate, and sludge reduction rate. The multi-objective calculation model for purification efficiency is used to simulate the operating parameters of the step-by-step biological treatment process and output purification efficiency indicators.

[0046] It should be noted that, in this application, the energy consumption factor refers to a quantitative parameter reflecting the energy consumption intensity of the aeration process; the separation efficiency factor refers to a parameter that quantifies the treatment effect of the separation stage on purification efficiency; the purification weight coefficient refers to a coefficient that balances the importance of the energy consumption factor and the separation efficiency factor in the purification efficiency assessment; the sludge reduction rate refers to the proportion of sludge reduction during the biological treatment process; the multi-objective calculation model for purification efficiency in this application is a quantitative assessment model that integrates energy consumption, treatment effect, and environmental benefits; and the purification efficiency index refers to a parameter that comprehensively evaluates the overall operational performance of the step-by-step biological treatment process.

[0047] In specific implementation, firstly, based on the energy consumption factor associated with the aeration replenishment amount and the separation efficiency factor associated with the dissolution separation strategy, the purification weight coefficients used to evaluate purification efficiency can be determined in the following way: The energy consumption factor is calculated by experimentally measuring the unit energy consumption corresponding to different aeration replenishment amounts; the separation efficiency factor is calculated based on the pollutant removal rate data of the dissolution separation strategy. The weight coefficients are determined using the analytic hierarchy process (AHP): a hierarchical structure of "target layer (purification efficiency) - criterion layer (energy consumption, efficiency) - scheme layer (specific parameters)" is constructed. Water treatment experts score the importance of the criterion layer, constructing a judgment matrix. The rationality is verified through matrix consistency testing (CR < 0.1), and finally, the purification weight coefficients corresponding to the energy consumption factor and the separation efficiency factor are calculated. Then, based on the purification weight coefficients, a multi-objective calculation model for purification efficiency integrating aeration energy consumption, pollutant removal rate, and sludge reduction rate can be constructed in the following way: a weighted summation model can be used to construct the multi-objective calculation model, with the model expression being: Purification efficiency index = (Aeration energy consumption × Energy consumption weight coefficient) + (Pollutant removal rate × Efficiency weight coefficient) + (Sludge reduction rate × Reduction weight coefficient). Wherein, the energy consumption weight coefficient is the purification weight coefficient corresponding to the energy consumption factor, the efficiency weight coefficient is the purification weight coefficient corresponding to the separation efficiency factor, and the sludge reduction rate weight coefficient is determined through statistical analysis of engineering practice data. Finally, the operating parameters of the step-by-step biological treatment process are simulated using the multi-objective calculation model for purification efficiency, and the output purification efficiency index can be achieved in the following way: collect the full-process operating parameters of the step-by-step biological treatment process, including the residence time in the oil separator, the aeration replenishment amount in the biofilm reactor, and the dosage of reagents for the dissolution separation strategy, and organize the parameter sequence according to the process order of "pretreatment - biofilm reaction - dissolution separation". The parameter sequence is substituted into the multi-objective calculation model of purification efficiency, and the sub-item efficiency values ​​of each treatment stage are calculated in turn. The results are then superimposed to obtain the purification efficiency index.

[0048] In some embodiments, the cyclical regulation of kitchen wastewater treatment based on the purification efficiency index, and the storage of treated, compliant clean water in a reclaimed water tank, can be achieved through the following steps: The real-time control parameters of the biofilm reactor are dynamically compensated based on the purification efficiency index to generate a compensated set of process control parameters. The physical filtration, biochemical degradation and solid-liquid separation processes in the kitchen wastewater treatment process are coordinated to generate a water quality state prediction map under the coordinated operation of each process. Based on the compensated process control parameter set, the water quality status prediction map is coordinated and regulated to drive the actuator to ensure that the final effluent water quality meets the standards and is then transported to the reclaimed water tank.

[0049] It should be noted that the process control parameter set in this application refers to the set of all real-time control parameters after dynamic compensation; the water quality status prediction chart in this application refers to a visual chart showing the change pattern of water quality indicators at each node from influent to effluent under multi-process coordinated operation.

[0050] In specific implementation, firstly, the real-time control parameters of the biofilm reactor are dynamically compensated according to the purification efficiency index. The resulting compensated set of process control parameters can be achieved as follows: The aeration rate, wastewater retention time, and water flow velocity in the packing layer of the biofilm reactor are selected as core real-time control parameters, and the optimal threshold range for the purification efficiency index is pre-set. The actual purification efficiency index corresponding to the current real-time control parameters is collected, and the deviation from the optimal threshold is calculated. An incremental linear compensation model is used, and the deviation value is substituted into the model to determine the compensation amount for each parameter. After compensating and correcting the original real-time control parameters, the results are integrated to form the compensated set of process control parameters. Secondly, the physical filtration, biochemical degradation, and solid-liquid separation processes in the kitchen wastewater treatment flow are coordinated to generate a water quality state prediction diagram under coordinated operation. This can be achieved as follows: The filter interception efficiency of physical filtration, the pollutant removal rate of biochemical degradation, and the sludge settling ratio of solid-liquid separation are selected as core state parameters for each process. A state coupling correlation matrix for the three processes is constructed, and the coordination weight of each process in the entire process is determined using the analytic hierarchy process (AHP). Real-time state parameters of each process are collected and substituted into the correlation matrix for coordination and correction, resulting in a coordinated set of state parameters. A grey system prediction model is used, with the coordinated parameter set as input, to generate a water quality state prediction map of the changes in water quality indicators at each node. Based on the compensated process control parameter set, the water quality state prediction map is coordinated and regulated to drive the actuators to ensure the final effluent water quality consistently meets standards and is then transported to the reclaimed water tank. This can be achieved by precisely matching the compensated process control parameter set with the water quality state prediction map to determine the key control nodes for the three processes: physical filtration, biochemical degradation, and solid-liquid separation. Specific control commands are generated for each control node and sent to the corresponding actuators to drive them to perform operations such as adjusting the bar screen cleaning frequency, controlling aeration replenishment, starting and stopping the sludge discharge pump, and adjusting the opening of the effluent regulating valve. The final effluent water quality indicators are monitored in real time. If a deviation from the standard is observed, secondary regulation is immediately performed based on the prediction map and parameter set to ensure the effluent consistently meets standards. Afterward, the effluent is transported to the reclaimed water tank for storage via the effluent transfer pump.

[0051] It should be noted that this application's solution generates a purification efficiency index that integrates aeration energy consumption, pollutant removal rate, and sludge reduction rate through aeration supplementation and dissolution separation strategies. This provides a quantitative decision-making basis for the cyclical control of kitchen wastewater treatment. Furthermore, based on this index, a complete closed-loop control system is constructed to achieve dynamic compensation of biofilm reactor control parameters and coordinated control of multiple treatment processes throughout the entire process, including physical filtration, biochemical degradation, and solid-liquid separation. This effectively and dynamically optimizes the operational status of the step-by-step biological treatment, ensuring stable compliance of the final effluent quality while achieving optimal synergy between aeration energy consumption, operating costs, and treatment efficiency. Finally, the compliant clean water is stored in a reclaimed water tank, realizing the resource reuse of kitchen wastewater, significantly improving water resource utilization, and enhancing the overall operational stability of kitchen wastewater treatment.

[0052] On the other hand, in some embodiments, this application provides a kitchen wastewater purification and recycling system, referencing Figure 4 The figure is a schematic diagram of a kitchen wastewater purification and circulation system according to some embodiments of this application. The kitchen wastewater purification and circulation system 400 includes: a collection module 401, a processing module 402, and an execution module 403, which are described below: The collection module 401 is used to treat kitchen wastewater by gravity separation in an oil separator to obtain wastewater with reduced suspended solids and oil content, and to pump the wastewater into a biofilm reactor equipped with biological packing material. Processing module 402 is used to collect the pollutant removal data of the wastewater to be treated as it flows through the biofilm reactor to stabilize water quality indicators, and to determine the amount of aeration supplement required when the wastewater to be treated is subjected to microporous aeration to assist oxygen supply during the biological reaction process in the aerobic zone by using the pollutant removal data and the dissolved oxygen concentration monitored in real time in the aerobic zone. In this application, the processing module 402 is also used to determine the oil content fluctuation characteristics of kitchen wastewater, predict the sedimentation response trend of the bio-reaction flocculation process under a constant pollutant adsorption rate based on the oil content fluctuation characteristics, and perform dissolution mechanism matching on the sedimentation response trend to obtain the dissolution and separation strategy of the bio-dissolution process under pollutant sedimentation load. The execution module 403 is used to generate a purification efficiency index for the step-by-step biological treatment process based on the aeration supplementation amount and the dissolution and separation strategy, and then use the purification efficiency index to cyclically regulate the kitchen wastewater treatment, and store the treated qualified clean water into the reclaimed water tank.

[0053] In addition, this application also provides a computer device, the computer device including a memory and a processor, the memory storing code, and the processor being configured to acquire the code and execute the above-described kitchen wastewater purification and circulation method.

[0054] In some embodiments, reference Figure 5 The figure is a schematic diagram of the structure of a computer device for implementing a kitchen wastewater purification and recycling method according to some embodiments of this application. The kitchen wastewater purification and recycling method in the above embodiments can... Figure 5 The computer device shown is used to implement this, and the computer device 500 includes at least one processor 501, a communication bus 502, a memory 503, and at least one communication interface 504.

[0055] Processor 501 can be a general-purpose central processing unit (CPU) or an application-specific integrated circuit (ASIC).

[0056] The communication bus 502 can be used to transmit information between the aforementioned components.

[0057] Memory 503 may be a read-only memory (ROM) or other type of static storage device capable of storing static information and instructions, random access memory (RAM) or other type of dynamic storage device capable of storing information and instructions, or electrically erasable programmable read-only memory (EEPROM), compact disc read-only memory (CDROM) or other optical disc storage, optical disc storage (including compressed optical discs, laser discs, optical discs, digital versatile optical discs, Blu-ray discs, etc.), magnetic disks or other magnetic storage devices, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer, but not limited thereto. Memory 503 may exist independently and be connected to processor 501 via communication bus 502. Memory 503 may also be integrated with processor 501.

[0058] The memory 503 stores program code for executing the solution of this application, and its execution is controlled by the processor 501. The processor 501 executes the program code stored in the memory 503. The program code may include one or more software modules. In the above embodiment, the kitchen wastewater purification and circulation method can be implemented by the processor 501 and one or more software modules in the program code in the memory 503.

[0059] Communication interface 504 uses any transceiver-like device to communicate with other devices or communication networks, such as Ethernet, radio access network (RAN), wireless local area networks (WLAN), etc.

[0060] In a specific implementation, as one example, a computer device may include multiple processors, each of which may be a single-core (single CPU) processor or a multi-core (multi CPU) processor. Here, a processor may refer to one or more devices, circuits, and / or processing cores used to process data (e.g., computer program instructions).

[0061] The aforementioned computer device can be a general-purpose computer device or a special-purpose computer device. In specific implementations, the computer device can be a desktop computer, a portable computer, a network server, a handheld digital assistant (PDA), a mobile phone, a tablet computer, a wireless terminal device, a communication device, or an embedded device. This application does not limit the type of computer device.

[0062] In addition, this application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described kitchen wastewater purification and circulation method.

[0063] Although preferred embodiments of this application have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of this application.

[0064] Obviously, those skilled in the art can make various modifications and variations to this application without departing from the spirit and scope of this application. Therefore, if such modifications and variations fall within the scope of the claims of this application and their equivalents, this application also intends to include such modifications and variations.

Claims

1. A method for purifying and recycling kitchen wastewater, characterized in that, Includes the following steps: Kitchen wastewater is treated by gravity separation in a grease trap to obtain wastewater with reduced suspended solids and grease content. At the same time, the wastewater is pumped into a biofilm reactor equipped with biological packing material. Collect the pollutant removal data of the wastewater to be treated as it flows through the biofilm reactor to stabilize water quality indicators. Determine the amount of aeration supplement required for microporous aeration to assist oxygen supply during the biological reaction process of the wastewater to be treated in the aerobic zone by combining the pollutant removal data with the dissolved oxygen concentration monitored in real time in the aerobic zone. The oil content fluctuation characteristics of kitchen wastewater are determined, and the sedimentation response trend of the bio-reaction flocculation process under a constant pollutant adsorption rate is predicted based on the oil content fluctuation characteristics. The sedimentation response trend is matched with the dissolution mechanism to obtain the dissolution and separation strategy of the bio-dissolution process under pollutant sedimentation load. Based on the aeration supplementation amount and the dissolution and separation strategy, a purification efficiency index for the step-by-step biological treatment process is generated. The purification efficiency index is then used to regulate the kitchen wastewater treatment process, and the treated clean water that meets the standards is stored in a reclaimed water tank.

2. The method as described in claim 1, characterized in that, The specific data collected on the removal of pollutants from the wastewater as it flows through the biofilm reactor to stabilize water quality indicators include: Construct a multi-parameter online water quality monitoring module integrated into the biofilm reactor; The online water quality monitoring module continuously collects pollutant index data of the wastewater to be treated as it flows through the biofilm reactor. The pollutant removal rate is calculated based on the collected pollutant index data, and the correlation between the pollutant removal rate and stable water quality indicators is determined. The operating conditions of the biofilm reactor are dynamically adjusted based on the pollutant removal correlation, and pollutant removal data of stable water quality indicators when flowing through the biofilm reactor are output.

3. The method as described in claim 1, characterized in that, The aeration supplement required for microporous aeration to assist oxygen supply during the biological reaction process of the wastewater to be treated in the aerobic zone is determined by using the aforementioned waste removal data and the dissolved oxygen concentration monitored in real time within the aerobic zone. Specifically, this includes: The dissolved oxygen concentration threshold required to maintain the target removal efficiency is determined based on the organic pollutant removal rate in the aforementioned waste removal data and the real-time dissolved oxygen concentration in the aerobic zone. The dissolved oxygen deficit in the aerobic zone biological reaction process is determined by the real-time dissolved oxygen concentration and the dissolved oxygen concentration threshold. The required aeration supplement amount for microporous aeration-assisted oxygen supply is determined based on the dissolved oxygen deficit and the aeration efficiency characteristics during the biological reaction process.

4. The method as described in claim 1, characterized in that, By matching the dissolution mechanism to the sedimentation response trend, the specific dissolution and separation strategies of the biological dissolution process under the sedimentation load are obtained, including: Based on the sedimentation response trend, the corresponding biological dissolution kinetic model in the dissolution mechanism library is matched, and the theoretical dissolution efficiency under the current sewage sedimentation load is calculated. Based on a multi-objective optimization algorithm, the theoretical dissolution efficiency and the operating cost of the bioreactor are synergistically optimized to generate biodissolution and separation conditions under a specific sedimentation load. Determine the dissolution and separation strategy for the biodissolution process under sludge settling load by considering all biodissolution and separation conditions.

5. The method as described in claim 1, characterized in that, The purification efficiency indicators for the step-by-step biological treatment process, generated based on the aeration supplementation rate and the dissolution and separation strategy, specifically include: Based on the energy consumption factor associated with the aeration replenishment amount and the separation efficiency factor associated with the dissolution and separation strategy, a purification weight coefficient for evaluating purification efficiency is determined. Based on the purification weight coefficient, a multi-objective calculation model for purification efficiency is constructed, which integrates aeration energy consumption, pollutant removal rate, and sludge reduction rate. The multi-objective calculation model for purification efficiency is used to simulate the operating parameters of the step-by-step biological treatment process and output purification efficiency indicators.

6. The method as described in claim 1, characterized in that, The bioreactor process in the aerobic zone is the metabolic process in which aerobic microorganisms attached to the biological packing material in the biofilm reactor utilize dissolved oxygen to degrade organic pollutants in the wastewater to be treated.

7. The method as described in claim 1, characterized in that, Microporous aeration-assisted oxygen supply is a method of supplying oxygen by releasing tiny bubbles into the aerobic zone of a biofilm reactor through a microporous aerator to supplement the dissolved oxygen required for biological reactions and ensure the oxygen supply for waste degradation efficiency.

8. A kitchen wastewater purification and recycling system, characterized in that, include: The collection module is used to treat kitchen wastewater by gravity separation in a grease trap to obtain wastewater with reduced suspended solids and oil content. At the same time, the wastewater is pumped into a biofilm reactor equipped with biological packing material. The processing module is used to collect the pollutant removal data of the wastewater to be treated as it flows through the biofilm reactor to stabilize water quality indicators. The pollutant removal data and the dissolved oxygen concentration monitored in real time in the aerobic zone are used to determine the amount of aeration supplement required when the wastewater to be treated is subjected to microporous aeration to assist oxygen supply during the biological reaction process in the aerobic zone. The processing module is also used to determine the oil content fluctuation characteristics of kitchen wastewater, predict the sedimentation response trend of the bio-reaction flocculation process under a constant pollutant adsorption rate based on the oil content fluctuation characteristics, and perform dissolution mechanism matching on the sedimentation response trend to obtain the dissolution and separation strategy of the bio-dissolution process under pollutant sedimentation load. The execution module is used to generate a purification efficiency index for the step-by-step biological treatment process based on the aeration supplementation amount and the dissolution and separation strategy, and then use the purification efficiency index to cyclically regulate the kitchen wastewater treatment, and store the treated qualified clean water into the reclaimed water tank.

9. A computer device comprising a memory and a processor, the memory storing code, characterized in that, The processor is configured to acquire the code and execute the kitchen wastewater purification and circulation method as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the kitchen wastewater purification and recycling method as described in any one of claims 1 to 7.

Images