Large-flux sewage treatment method and system based on rational combinatorial design of zooplankton community

Abstract

The invention discloses a large-flux sewage treatment method and system designed by utilizing rational combination of zooplankton communities, and the treatment method comprises the following steps: S1, construction of zooplankton communities: based on ecological niche theoretical analysis, preliminarily determining zooplankton combinations with functional complementation characteristics; s2, community optimization design: determining optimal zooplankton composition and proportion through a rational design model to obtain a target zooplankton community; s3, sewage treatment: selecting and conveying a specific target zooplankter community into a high-flux sewage treatment device according to the sewage type, carrying out collaborative degradation treatment on the sewage in a continuous operation mode, monitoring the treatment effect in real time through an automatic control system during the period, and automatically adjusting the structure and operation parameters of the zooplankter community according to the water quality change. The method has the advantage that the problems of flux bottleneck, insufficient pollutant removal specificity, limited environmental adaptability and the like in traditional sewage treatment are effectively solved.

Description

Technical Field

[0001] This invention relates to the interdisciplinary field of environmental engineering, biotechnology and automation control. Addressing the problems of throughput bottlenecks, insufficient pollutant removal specificity and limited environmental adaptability in traditional wastewater treatment, it discloses a high-throughput wastewater treatment method and system that utilizes the rational combination design of zooplankton communities. Background Technology

[0002] Traditional wastewater treatment technologies mainly encompass three core categories: physical treatment, chemical treatment, and biological treatment. While physical treatment technologies, such as sedimentation and filtration, offer simple processes and ease of implementation, they suffer from significant efficiency bottlenecks in removing dissolved pollutants. Chemical treatment technologies, including chemical oxidation and coagulation sedimentation, while exhibiting high pollutant removal efficiency, generally face problems such as large consumption of chemical reagents and high risks of secondary pollution. Biological treatment technologies, typically represented by activated sludge and biofilm processes, offer significant environmental advantages, but their treatment efficiency is highly susceptible to fluctuations in water quality and exhibits clear technical limitations in removing emerging pollutants.

[0003] In the field of biological treatment technology, the activated sludge process is one of the most widely used technologies, but its inherent technical shortcomings cannot be ignored. The microbial community structure of this process exhibits a significant lack of diversity, making it difficult to effectively cope with complex and changing water quality conditions. Taking the treatment of dyeing and printing wastewater as an example, a single activated sludge microbial community is insufficient to achieve efficient degradation of azo dyes in the wastewater, resulting in the effluent's color index failing to meet standards. Furthermore, the activated sludge system has poor tolerance to fluctuations in water quality and quantity. Under conditions of significantly increased industrial wastewater shock loads, microbial activity is significantly inhibited, leading to the instability of the entire treatment system. For recalcitrant organic matter and emerging pollutants, such as antibiotics and endocrine disruptors, the traditional activated sludge process struggles to achieve ideal treatment results. Simultaneously, this process has a high sludge yield, resulting in high costs for subsequent sludge treatment and disposal. Moreover, the sludge may accumulate heavy metals and pathogenic microorganisms, which, if not properly treated, can easily lead to secondary pollution problems.

[0004] Biofilm methods also face a series of pressing technical challenges. The biofilm growth cycle is relatively long, and system start-up is significantly time-consuming, making rapid response difficult in emergency wastewater treatment scenarios. Furthermore, localized biofilm detachment is common, severely impacting the stability of treatment effectiveness, and detached biofilm fragments significantly increase the operational difficulty of subsequent solid-liquid separation processes. As wastewater pollutant compositions become increasingly complex, the technical shortcomings of biofilm methods in degrading emerging pollutants are becoming increasingly apparent, necessitating technological innovation and process optimization.

[0005] Zooplankton, as a key ecological group in aquatic ecosystems, exhibit unique ecological engineering value in the field of biological wastewater treatment. Compared to traditional microbial treatment systems, the specific pollutant degradation capabilities of zooplankton provide an important supplement to the optimization of biological wastewater treatment technologies. Through efficient filter-feeding mechanisms, they remove pollutants such as suspended particulate matter, algae, and bacteria. Combined with their rapid population growth and environmental adaptability, they can significantly accelerate the biogeochemical cycling of nutrients. Based on metabolically driven nutrient transformation and sedimentation mechanisms, under conditions where the hydraulic retention time exceeds 1.1 days, effective reduction of nutrients such as nitrogen and phosphorus in water bodies can be achieved, which is of great significance for mitigating eutrophication. Existing studies have confirmed the complex ecological interactions between zooplankton and bacterial / algal biofilms, providing a theoretical basis for constructing sustainable ecological wastewater treatment systems. Summary of the Invention

[0006] This invention provides a high-throughput wastewater treatment method and system that utilizes the rational combination design of zooplankton communities, which at least to a certain extent effectively solves the problems of throughput bottleneck, insufficient pollutant removal specificity, and limited environmental adaptability in traditional wastewater treatment.

[0007] The technical solution of this invention to solve the above-mentioned technical problems is as follows: A high-throughput wastewater treatment method designed using the rational combination of zooplankton communities, comprising the following steps:

[0008] S1. Zooplankton community construction: Based on niche theory analysis, the nutrient niche differentiation, spatial niche differentiation and temporal niche differentiation of the target wastewater environment are analyzed, and zooplankton combinations with complementary functional characteristics are preliminarily determined.

[0009] S2. Community Optimization Design: Determine the optimal zooplankton composition and ratio through a rational design model to obtain the target zooplankton community;

[0010] S3. Wastewater Treatment: Based on the type of wastewater, a specific target zooplankton community is selected and transported into a high-flow-rate wastewater treatment device. The wastewater is treated through continuous operation to achieve synergistic degradation. During this process, the treatment effect is monitored in real time by an automatic control system, and the zooplankton community structure and operating parameters are automatically adjusted according to changes in water quality.

[0011] Based on the above technical solution, the present invention can also make the following further specific choices or better choices.

[0012] Specifically, in S1, nutrient niche differentiation refers to designing zooplankton combinations with different nutrient utilization characteristics based on wastewater characteristics; spatial niche differentiation refers to designing zooplankton combinations with different spatial distribution characteristics based on the spatial structure of wastewater treatment devices; and temporal niche differentiation refers to designing zooplankton combinations with different temporal activity characteristics based on the temporal variation patterns of water quality.

[0013] Specifically, during trophic niche differentiation, filter-feeding zooplankton treats suspended particulate matter in wastewater, bacteriophages target and engulf pathogens in wastewater, and algae-eating zooplankton secretes algal inhibitory substances. During spatial niche differentiation, zooplankton with photosynthetic capabilities are placed in the surface layer of the wastewater treatment device, zooplankton with nitrogen and phosphorus absorption as their main function are placed in the middle layer, and zooplankton with strong pollution tolerance are placed in the bottom layer. During temporal niche differentiation, a time-complementary zooplankton community structure is designed based on the diurnal dynamic changes of water quality parameters, activating photosynthetic zooplankton during the day and heterotrophic zooplankton at night.

[0014] Specifically, the rational design models in S2 include a metabolic network model for predicting metabolic interactions among zooplankton, a niche overlap model for calculating niche overlap among zooplankton, and a functional optimization model for determining the optimal community structure through a multi-objective optimization algorithm.

[0015] Specifically, the metabolic network model is a genome-scale metabolic model that integrates metabolic pathway data from multiple zooplankton species to systematically predict the interaction relationships of metabolites among different species; the niche overlap model establishes a niche overlap index calculation system that includes three dimensions: nutrition, space, and time, and sets an overlap index threshold of ≤0.6 to ensure functional complementarity among species; the multi-objective optimization algorithm combines a multi-objective genetic algorithm with a particle optimization algorithm, with the optimization objectives being a pollutant removal rate of ≥95%, a reduction in operating costs of ≥20%, and a community stability fluctuation coefficient of <0.15, and the optimal community configuration scheme is screened through more than 100,000 iterations.

[0016] Specifically, in S3, when the automatic control system monitors the treatment effect, it mainly monitors water quality parameters and zooplankton population status, and predicts water quality change trends based on artificial intelligence algorithms.

[0017] Specifically, the wastewater types and selected target zooplankton communities in S3 are as follows: brewing wastewater, selected as a community with large filter-feeding cladocerans as the core, supplemented by bacteriophages and Bdellovibrio; dairy wastewater, selected as a community structure dominated by fat-decomposing copepods, supplemented by Candida lipolyticis; and domestic wastewater, selected as a multifunctional complex community composed of feeding, bacteriophage, and algae-eating zooplankton.

[0018] This invention also provides a high-throughput wastewater treatment system designed using the rational combination of zooplankton communities, comprising an influent module, a zooplankton culture, separation, selection, and delivery module, a wastewater treatment reaction module, and an automatic monitoring and control module. The influent module pre-treats the wastewater, measures pollutants, and delivers the wastewater to the wastewater treatment reaction module. The zooplankton culture, separation, selection, and delivery module selects corresponding zooplankton from the target zooplankton community determined in the above-mentioned wastewater treatment method, cultivates and separates them, and delivers them to the wastewater treatment reaction module. The automatic monitoring and control module controls the wastewater influent volume, the zooplankton delivery volume, and adjusts the zooplankton community delivered to the wastewater treatment reaction module.

[0019] Based on the above technical solutions, the present invention may also have the following further specific options.

[0020] Specifically, the inlet module includes a bar screen sedimentation tank and a sewage pump. The bar screen sedimentation tank is connected to the sewage treatment reaction module through a pipe equipped with the sewage pump.

[0021] Specifically, the zooplankton culture, separation, and delivery module includes multiple sets of parallel culture reactors, each set of culture reactors is connected to a zooplankton separation and enrichment device, the zooplankton separation and enrichment device is connected to the wastewater treatment reaction module through a delivery pipeline equipped with a delivery pump, and the automatic monitoring and control module includes a water quality sensor, a zooplankton image in-situ acquisition and automatic recognition device, and a PLC controller.

[0022] Compared with the prior art, the beneficial effects of the present invention are:

[0023] This invention provides a high-throughput wastewater treatment method utilizing the rational design of zooplankton communities. Based on niche theory, it is the first to systematically apply niche and rational design theories to zooplankton community construction, achieving precise regulation. It proposes a functionally complementary design method to overcome the limitations of single species. By analyzing the niche differentiation mechanisms across nutritional, spatial, and temporal dimensions, the functional roles and resource utilization patterns of zooplankton are quantified. A three-dimensional design framework, including metabolic networks, niche overlap, and functional optimization models, is constructed. This framework enables filter-feeding zooplankton to efficiently retain suspended particulate matter and bacteriophages to target and degrade microbial pollutants, forming a functionally synergistic community structure. This expands the pollutant removal spectrum and overcomes the problems of insufficient pollutant removal specificity and limited environmental adaptability in traditional biological treatment technologies.

[0024] The wastewater treatment system provided by this invention adopts a modular design, integrating core units such as an influent module (using membrane filtration and grit removal technology to intercept large particulate impurities and regulate water quality), a zooplankton culture, separation, selection, and transport module (maintaining the proliferation of dominant communities through temperature and dissolved oxygen control, and achieving zooplankton separation and transport), a wastewater treatment reaction module (setting up anaerobic, anoxic, and aerobic zones to achieve graded treatment of pollutants), and an automatic monitoring and control module (based on PLC to optimize operating parameters in real time, and constructing closed-loop control through online water quality monitoring and data feedback). It is suitable for treating complex wastewater from industries such as brewing, dairy products, domestic sewage, and food processing, and can achieve continuous and efficient operation. Third-party testing shows that the chemical oxygen demand (COD) and antibiotic removal rates of this technology system are consistently between 85% and 95%, and the perfluorinated compound removal rate is between 60% and 75%. Energy consumption is reduced by 30% to 40% compared to the traditional activated sludge process, and the effluent quality meets the Class A standard of GB 18918-2002 "Discharge Standard of Pollutants for Municipal Wastewater Treatment Plants," providing an innovative, efficient, and energy-saving solution for large-scale wastewater treatment. Attached Figure Description

[0025] Figure 1 A schematic diagram of the zooplankton community construction process based on niche theory in the high-throughput wastewater treatment method provided by the present invention;

[0026] Figure 2 A schematic diagram of a high-throughput wastewater treatment system designed using the rational combination of zooplankton communities, provided by the present invention.

[0027] Figure 3 A schematic diagram illustrating the composition and mechanism of zooplankton community specifically designed for brewing wastewater treatment.

[0028] Figure 4 A schematic diagram illustrating the composition and mechanism of zooplankton community specifically for dairy wastewater treatment.

[0029] Figure 5 A schematic diagram illustrating the composition and mechanism of action of zooplankton communities specifically designed for domestic sewage treatment.

[0030] Figure 6 A schematic diagram illustrating the composition and mechanism of zooplankton communities specifically designed for food wastewater treatment.

[0031] The attached diagram lists the components represented by each number as follows:

[0032] 1. Water inlet module; 2. Zooplankton culture, separation, selection, and delivery module; 3. Wastewater treatment reaction module; 4. Automatic monitoring and control module. Detailed Implementation

[0033] The technical solutions provided by the present invention will be clearly and completely described below with reference to the accompanying drawings and specific embodiments. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0034] In the description of this invention, if terms such as "upper," "lower," "left," "right," "top," "bottom," "inner," and "outer" are used to indicate the orientation or positional relationship, the orientation or positional relationship indicated is based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention.

[0035] like Figure 1 As shown, this invention provides a high-throughput wastewater treatment method designed using the rational assemblage of zooplankton communities, comprising the following steps:

[0036] S1. Zooplankton community construction: Based on niche theory analysis, the nutrient niche differentiation, spatial niche differentiation and temporal niche differentiation of the target wastewater environment are analyzed, and zooplankton combinations with complementary functional characteristics are preliminarily determined.

[0037] S2. Community Optimization Design: Determine the optimal zooplankton composition and ratio through a rational design model to obtain the target zooplankton community;

[0038] S3. Wastewater Treatment: Based on the type of wastewater, a specific target zooplankton community is selected and transported into a high-flow-rate wastewater treatment device. The wastewater is treated through continuous operation to achieve synergistic degradation. During this process, the treatment effect is monitored in real time by an automatic control system, and the zooplankton community structure and operating parameters are automatically adjusted according to changes in water quality.

[0039] It should be noted that in S1, nutrient niche differentiation refers to designing zooplankton combinations with different nutrient utilization characteristics based on the characteristics of wastewater; spatial niche differentiation refers to designing zooplankton combinations with different spatial distribution characteristics based on the spatial structure of the wastewater treatment device; and temporal niche differentiation refers to designing zooplankton combinations with different temporal activity characteristics based on the temporal variation patterns of water quality.

[0040] Among these, nutrient niches are considered: based on the nutrient composition characteristics of wastewater, an optimized combination design of functional zooplankton is implemented. Filter-feeding zooplankton form a highly efficient filter-feeding network through specialized appendage structures, achieving rapid interception of suspended particulate matter in wastewater; bacteriophage zooplankton, with their specific recognition mechanisms, target and engulf pathogens, effectively reducing the risk of biofouling; and algae-eating zooplankton precisely regulate algal biomass by secreting algal inhibitory substances. Taking eutrophic wastewater as an example, by simultaneously introducing Daphnia magna and Cyclops, the former removes organic particulate matter through efficient filter feeding, while the latter specifically eliminates intestinal flora, forming a graded removal system for pollutants.

[0041] Spatial niche: Based on the structural characteristics of the wastewater treatment plant, a stratified distribution strategy for zooplankton is implemented. Photosynthetic zooplankton (such as *Euglena*) are placed on the surface layer to autotrophically metabolize and release dissolved oxygen through photosynthesis; zooplankton primarily responsible for nitrogen and phosphorus absorption (such as *Brachionus*) are arranged in the middle layer to enhance nutrient removal efficiency; and species with strong pollution tolerance (such as *Tubifex*) are selected at the bottom layer to adapt to the high-concentration organic matter environment. This vertical niche differentiation strategy can improve space utilization efficiency by more than 30%, forming a highly efficient three-dimensional purification system.

[0042] Temporal niche: Based on the diurnal dynamics of water quality parameters, a temporally complementary zooplankton community structure is designed. During the day, photosynthetic zooplankton (such as green algae symbionts) are activated to fix carbon and replenish dissolved oxygen through photosynthesis; at night, heterotrophic zooplankton (such as fairy shrimp Brandinecta) are activated to utilize the organic matter accumulated during the day for secondary metabolism, thereby significantly improving the 24-hour continuous purification efficiency of the wastewater treatment system.

[0043] In addition, the rational design models in S2 include a metabolic network model for predicting metabolic interactions among zooplankton, a niche overlap model for calculating the degree of niche overlap among zooplankton, and a functional optimization model for determining the optimal community structure through a multi-objective optimization algorithm.

[0044] This invention constructs a multi-dimensional mathematical model to provide theoretical support for zooplankton community optimization. Metabolic network model: Based on the genome-scale metabolic model (GSMM), it integrates metabolic pathway data from over 120 zooplankton species to systematically predict the interaction relationships of metabolites among different species. For example, model simulation results show that fatty acid metabolites from fairy shrimp can serve as a carbon source for rotifers; a synergistic metabolic community designed based on this can improve carbon conversion efficiency by 18%. Niche overlap model: A niche overlap index (NOI) calculation system encompassing nutrient, spatial, and temporal dimensions is established, setting the NOI threshold to ≤0.6 to ensure functional complementarity among species. Optimizing species ratios through Monte Carlo simulation can improve community stability by 40%. Functional optimization model: An optimization strategy combining multi-objective genetic algorithm (MOGA) and particle swarm optimization (PSO) is employed, with pollutant removal rate (≥95%), operating cost (reduction of 20%), and community stability (fluctuation coefficient <0.15) as optimization objectives. The optimal community configuration scheme is screened through 100,000 iterations.

[0045] Meanwhile, S3 mainly monitors water quality parameters and zooplankton population status when the automatic control system monitors the treatment effect, and predicts water quality change trends based on artificial intelligence algorithms.

[0046] Specifically, the wastewater types and selected target zooplankton communities in S3 are as follows:

[0047] Brewing wastewater: A community structure is constructed with large filter-feeding cladocerans (such as Daphnia pulex) as the core, combined with bacterophages Bdellovibrio. The cladocerans rapidly remove residual particulate matter from fermentation, while the bacterophages specifically lyse the brewing yeast, increasing the chemical oxygen demand (COD) removal rate to 92%.

[0048] Dairy wastewater: The design incorporates a community structure dominated by fat-decomposing copepods (such as Harpacticoida). These zooplankton have lipase activity three times higher than common species. Combined with Candidalipolytica, a synergistic degradation system is formed, achieving a fat removal efficiency of up to 98%.

[0049] Domestic wastewater: A multifunctional complex community composed of zooplankton such as filter feeders (e.g., Brachiopoda foldis), bacteriophages (e.g., Lionotus), and algaecides (e.g., Synchaeta stylata) is constructed. Through a three-stage treatment mechanism, COD, ammonia nitrogen, and total phosphorus are removed simultaneously and efficiently, and the effluent quality meets the Class A standard.

[0050] Food wastewater: Develop adaptive zooplankton community systems that integrate zooplankton species that can dynamically adjust their abundance based on water quality changes. For example, when protein levels in wastewater increase, the system automatically promotes the proliferation of Arcella, a scale insect with high protease activity, thereby achieving a dynamic balance in pollutant removal efficiency.

[0051] like Figure 2 As shown, this invention also provides a high-throughput wastewater treatment system designed using the rational combination of zooplankton communities. The system includes an influent module 1, a zooplankton culture, separation, selection, and delivery module 2, a wastewater treatment reaction module 3, and an automatic monitoring and control module 4. The influent module pre-treats the wastewater, measures pollutants, and delivers the wastewater to the wastewater treatment reaction module. The zooplankton culture, separation, selection, and delivery module selects and separates corresponding zooplankton from the target zooplankton community determined in the aforementioned wastewater treatment method and delivers them to the wastewater treatment reaction module. The automatic monitoring and control module controls the wastewater influent flow rate, the zooplankton delivery rate, and adjusts the zooplankton community delivered to the wastewater treatment reaction module. The influent module includes a grit chamber and a wastewater pump. The grit chamber is connected to the wastewater treatment reaction module via a pipeline equipped with the wastewater pump. The zooplankton culture, separation, and delivery module includes multiple sets of parallel culture reactors. Each set of culture reactors is connected to a zooplankton separation and enrichment device. The zooplankton separation and enrichment device is connected to the wastewater treatment reaction module via a delivery pipeline equipped with a delivery pump. The automatic monitoring and control module includes a water quality sensor, a zooplankton image in-situ acquisition and automatic recognition device, and a PLC controller.

[0052] The influent module employs a three-stage gradient pretreatment architecture. A coarse screen (10-20mm gap) intercepts large floating debris, followed by a fine screen (3-5mm gap) to remove fibrous impurities. The grit chamber is equipped with a cyclone separator for efficient sand-water separation, and the final equalization tank provides an 8-12 hour buffer capacity. The system integrates a multi-parameter online sensor array, including a COD sensor (detection range 0-1000mg / L, accuracy ±2%), an ammonia nitrogen electrode (0-50mg / L, ±1%), a total phosphorus analyzer (0-10mg / L, ±3%), and a pH probe (range 0-14, ±0.05). Real-time data is transmitted to the central control system via the Modbus protocol.

[0053] Zooplankton culture, separation, and transport module: The core unit, with its modular design, consists of at least six parallel culture reactors, each with an effective volume of 50 m³. The internal structure employs a biomimetic multi-layered, three-dimensional coral reef structure, with each layer spaced 50 cm apart and equipped with biological carriers of varying porosities, providing dedicated habitats for zooplankton in different ecological niches, such as rotifers, cladocerans, and copepods. The reactors are made of high-transmittance polycarbonate and are equipped with adjustable-spectrum LED supplemental lighting (400-700 nm, light intensity 0-1000 μmol / m² / s) at the top. The accompanying electromagnetic induction separation device, through gradient magnetic field strength adjustment, enables precise sorting of zooplankton of different particle sizes, achieving a separation efficiency of over 92%.

[0054] Wastewater treatment reaction module: The innovative composite fluidized bed treatment unit comprises four functional zones: ① The primary treatment zone is equipped with a mechanical flocculation mixer (adjustable speed 0-150 rpm) and inclined tube sedimentation components, achieving an SS removal rate of ≥85%; ② The biological treatment zone adopts three-dimensional ecological curtain technology, with attached biomass reaching 8000-12000 mg / L, constructing a zooplankton-microorganism synergistic treatment community; ③ The advanced treatment zone integrates magnetic coagulation sedimentation and activated carbon adsorption modules, increasing the total phosphorus removal rate to 98%; ④ The clarification zone is equipped with a high-density sedimentation device, with a surface loading rate of 8 m³ / (m²・h), and an effluent turbidity ≤5 NTU.

[0055] Automatic Monitoring and Control Module: The control component is based on a PLC+AI dual-core control architecture, with a built-in adaptive fuzzy control algorithm. It can dynamically adjust the zooplankton feeding ratio (adjustment accuracy ±5%), hydraulic retention time (1-8h continuously adjustable), and aeration intensity (DO control range 2-6mg / L) according to the influent water quality. A dedicated IoT management platform has been developed, supporting remote operation via mobile APP (Android / iOS dual-platform) and PC client, and has functions such as fault early warning, energy consumption analysis, and automatic generation of operation reports. The monitoring feedback component deploys a distributed fiber optic sensor network to monitor 12 core parameters in real time, including COD, ammonia nitrogen, TP, DO, temperature, and turbidity. Simultaneously, machine vision recognition technology (recognition accuracy ±10μm) is used to monitor zooplankton population dynamics. Data is transmitted to the cloud data center via a 5G network. After processing by a big data analysis model, optimized instructions containing 12 control variables are generated, realizing a closed-loop control from monitoring to analysis to decision-making to execution, with a response time of ≤10 minutes.

[0056] Using the methods and apparatus provided by the present invention, the present invention treats brewing wastewater, dairy wastewater, domestic sewage and food wastewater in the following embodiments, and determines specific zooplankton community combinations and device parameters and operating parameters in the treatment system in the treatment methods respectively.

[0057] Example 1: Wastewater Treatment in Brewing Industry

[0058] Brewing wastewater is typically characterized by high concentrations of organic matter. In this embodiment, the influent water quality of brewing wastewater is as follows: COD 20,000-50,000 mg / L, BOD 10,000-25,000 mg / L, SS 5,000-10,000 mg / L, pH 4.5-5.5.

[0059] Composition and mechanism of action of zooplankton communities specifically for brewing wastewater treatment Figure 3 As shown.

[0060] Selected zooplankton communities: Zooplankton communities: 40% large filter-feeding cladocerans (such as large water fleas) to remove large particulate organic matter and suspended matter; 25% bacteriophage rotifers to degrade dissolved organic matter and bacteria; 20% algae-eating zooplankton (such as certain copepods) to control algal growth; 15% symbiotic bacteria (Pseudomonas, Bacillus, etc.) to synergistically degrade recalcitrant organic matter.

[0061] System structure: includes a 200 m³ influent equalization tank, a 150 m³ primary treatment zone, a 300 m³ biological treatment zone, a 100 m³ advanced treatment zone, and a 100 m³ clarification zone.

[0062] The optimal operating parameters were determined through optimization of the management design model: hydraulic retention time, 24-36 hours; temperature control, 25-30℃; pH adjustment, 6.5-7.5 (with the addition of alkaline substances); dissolved oxygen, 2-4 mg / L; zooplankton concentration, 1000-1500 ind. / L.

[0063] Treatment effect evaluation:

[0064]

[0065] Example 2: Dairy Wastewater Treatment

[0066] Dairy wastewater is typically characterized by high protein and high fat content. In this embodiment, the influent water quality of dairy wastewater is as follows: COD 3,000-6,000 mg / L, BOD 2,000-3,500 mg / L, SS 800-1,200 mg / L, ammonia nitrogen 200-300 mg / L, total phosphorus 40-70 mg / L, and pH 6.8-7.5.

[0067] Composition and mechanism of action of zooplankton communities specifically for dairy wastewater treatment Figure 4 As shown.

[0068] Selected zooplankton community: Zooplankton community: 35% fat-decomposing copepods, decompose fat; 30% protein-degrading zooplankton, degrade protein; 20% conventional filter-feeding zooplankton, remove suspended matter; 15% symbiotic bacteria (lactic acid bacteria, yeast, etc.), synergistic fermentation.

[0069] System structure: includes a 50 m³ oil separator, a 100 m³ equalization tank, a 200 m³ biological treatment zone, a 100 m³ deep treatment zone, and a 50 m³ clarification zone.

[0070] The optimal operating parameters were determined through optimization of the management design model: hydraulic retention time, 18-24 hours; temperature control, 28-32℃; pH adjustment, 7.0-7.5 (with the addition of alkaline substances); dissolved oxygen, 2.5-4.5 mg / L; zooplankton concentration, 800-1200 ind. / L.

[0071] Treatment effect evaluation:

[0072]

[0073] Example 3: Domestic Sewage Treatment

[0074] Domestic sewage contains a large amount of suspended particulate matter and has a complex composition of nutrients. In this embodiment, the influent water quality of domestic sewage is as follows: COD 300-500 mg / L, BOD 150-250 mg / L, SS 200-300 mg / L, ammonia nitrogen 25-40 mg / L, total phosphorus 5-10 mg / L, and pH 6.5-7.5.

[0075] Composition and mechanism of action of zooplankton communities specifically for domestic sewage treatment Figure 5 As shown.

[0076] Selected zooplankton communities: 45% filter-feeding zooplankton to remove suspended particles and organic matter; 30% bacteriophage zooplankton to degrade bacteria and small molecules; 15% algae-eating zooplankton to remove nitrogen and phosphorus; and 10% zooplankton with special functions to enrich heavy metals.

[0077] System structure: The A² / O process is combined with zooplankton treatment, including a 200m³ anaerobic tank, a 300m³ anoxic tank, an 800m³ aerobic tank, a 200m³ secondary sedimentation tank, and a 300m³ zooplankton deep treatment tank.

[0078] The optimal operating parameters were determined through optimization of the management design model: hydraulic retention time, 8-10 hours for the A² / O section and 4-6 hours for the zooplankton section; temperature, 15-30℃; pH, 6.5-7.5; dissolved oxygen, <0.2 mg / L for anaerobic conditions, 0.2-0.5 mg / L for anoxic conditions, and 2-4 mg / L for aerobic conditions; zooplankton concentration, 600-1000 ind. / L.

[0079] Treatment effect evaluation:

[0080]

[0081] Advanced treatment of domestic sewage can meet the following standards:

[0082] Turbidity: Color: <15 degrees; Total bacterial count: <100 CFU / mL; Escherichia coli: Not detected.

[0083] Example 4: Food Wastewater Treatment

[0084] Food wastewater is characterized by significant seasonal fluctuations and complex, variable water quality. In this embodiment, the influent water quality is as follows: during the off-season, the wastewater flow rate is approximately 500 m³ / d, with COD fluctuating between 1500-2500 mg / L, mainly originating from auxiliary stages of food processing, and the pollutant composition is relatively simple; during the peak season, the wastewater flow rate surges to 1500 m³ / d, and the COD concentration climbs to 2000-3500 mg / L, containing a large amount of organic matter remaining from food processing, significantly increasing the difficulty of treatment; the wastewater pH ranges from 4.5 to 7.5, exhibiting weakly acidic to neutral characteristics, and the suspended solids (SS) content is between 500-1500 mg / L.

[0085] Composition and mechanism of action of zooplankton communities specifically for food wastewater treatment Figure 6 As shown.

[0086] The selected zooplankton community consists of a basic community (40% filter-feeding zooplankton and 30% bacteriophage zooplankton), adjusted seasonally: in summer, fructic acid-degrading zooplankton (20%) and organic acid-degrading bacteria (10%) are added; in winter, protein-degrading zooplankton (25%) and lipid-degrading bacteria (5%) are added, and an emergency zooplankton strain bank is established. For the adaptive regulation mechanism, flow rate regulation is achieved by configuring variable frequency pumps (automatically adjusting within the range of 30%-150%), activating the emergency treatment tank when the design peak value is exceeded; water quality regulation relies on an online monitoring system to monitor indicators such as COD, pH, and SS in real time, and automatically adjusts process parameters and zooplankton population structure through a PLC control system; seasonal regulation involves analyzing historical operating data to adjust the zooplankton community structure and stockpile specialized strains before seasonal transitions.

[0087] System structure: equalization tank (initial volume 300 m³, variable volume design, expandable to a maximum of 500 m³, used to regulate influent water quality and quantity, and balance water quality fluctuations); main treatment tank (volume 800 m³, expandable to 1200 m³, responsible for most pollutant degradation); advanced treatment tank (volume 200 m³, for further purification of wastewater after main treatment); emergency treatment tank (volume 200 m³, activated when influent water quality and quantity fluctuate abnormally).

[0088] Processing effect:

[0089] During the off-season, when the wastewater flow rate is 500 m³ / d, the COD removal rate can reach 93.5%, and the flow rate compliance rate is 100%. During the peak season, when the flow rate is 1500 m³ / d, the COD removal rate remains at 91.2%, and the flow rate compliance rate is 95%. Under a wide water quality range of pH 4.5-7.5, the system operates stably, and the fluctuation of pollutant removal rate is controlled within 5%.

[0090] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A high-throughput wastewater treatment method utilizing the rational assemblage design of zooplankton communities, characterized in that, Includes the following steps: S1. Zooplankton community construction: Based on niche theory, the nutrient niche differentiation, spatial niche differentiation and temporal niche differentiation of the target wastewater environment are analyzed, and zooplankton combinations with complementary functional characteristics are preliminarily determined. S2. Community Optimization Design: Determine the optimal zooplankton composition and ratio through a rational design model to obtain the target zooplankton community; S3. Wastewater Treatment: Based on the type of wastewater, a specific target zooplankton community is selected and transported into a high-flow-rate wastewater treatment device. The wastewater is treated through continuous operation to achieve synergistic degradation. During this process, the treatment effect is monitored in real time by an automatic control system, and the zooplankton community structure and operating parameters are automatically adjusted according to changes in water quality.

2. The high-throughput wastewater treatment method based on the rational combination design of zooplankton communities according to claim 1, characterized in that, In S1, nutrient niche differentiation refers to designing zooplankton combinations with different nutrient utilization characteristics based on wastewater characteristics; spatial niche differentiation refers to designing zooplankton combinations with different spatial distribution characteristics based on the spatial structure of wastewater treatment devices; and temporal niche differentiation refers to designing zooplankton combinations with different temporal activity characteristics based on the temporal variation patterns of water quality.

3. The high-throughput wastewater treatment method based on the rational combination design of zooplankton communities according to claim 2, characterized in that, During trophic niche differentiation, filter-feeding zooplankton treats suspended particulate matter in wastewater, bacteriophages target and engulf pathogens in wastewater, and algae-eating zooplankton secretes algal inhibitory substances. During spatial niche differentiation, zooplankton with photosynthetic capabilities are placed in the surface layer of the wastewater treatment device, zooplankton with nitrogen and phosphorus absorption as their main function are placed in the middle layer, and zooplankton with strong pollution tolerance are placed in the bottom layer. During temporal niche differentiation, a time-complementary zooplankton community structure is designed based on the diurnal dynamic changes of water quality parameters, activating photosynthetic zooplankton during the day and heterotrophic zooplankton at night.

4. The high-throughput wastewater treatment method based on the rational combination design of zooplankton communities according to claim 1, characterized in that, The rational design models in S2 include a metabolic network model for predicting metabolic interactions among zooplankton, a niche overlap model for calculating niche overlap among zooplankton, and a functional optimization model for determining the optimal community structure through a multi-objective optimization algorithm.

5. A high-throughput wastewater treatment method based on the rational combination design of zooplankton communities according to claim 4, characterized in that, The metabolic network model is a genome-scale metabolic model that integrates metabolic pathway data from multiple zooplankton species to systematically predict the interaction relationships of metabolites among different species. The niche overlap model establishes a niche overlap index calculation system that includes three dimensions: nutrition, space, and time. The overlap index threshold is set to ≤0.6 to ensure functional complementarity among species. The multi-objective optimization algorithm combines a multi-objective genetic algorithm with a particle optimization algorithm. The optimization objectives are a pollutant removal rate of ≥95%, a reduction in operating costs of ≥20%, and a community stability fluctuation coefficient of <0.

15. The optimal community configuration scheme is screened through more than 100,000 iterations.

6. The high-throughput wastewater treatment method based on the rational combination design of zooplankton communities according to claim 1, characterized in that, In S3, when the automatic control system monitors the treatment effect, it mainly monitors water quality parameters and zooplankton population status, and predicts water quality change trends based on artificial intelligence algorithms.

7. The high-throughput wastewater treatment method based on the rational combination design of zooplankton communities according to claim 1, characterized in that, The wastewater types and selected target zooplankton communities in S3 are as follows: Brewing wastewater, selected as a community with large filter-feeding cladocerans as the core, supplemented by bacteriophages and Bdellovibrio; Dairy wastewater, selected as a community structure dominated by fat-decomposing copepods, supplemented by Candida lipolyticis; Domestic wastewater, selected as a multifunctional complex community composed of feeding, bacteriophage and algae-eating zooplankton.

8. A high-throughput wastewater treatment system designed using the rational combination of zooplankton communities, characterized in that, The system includes an influent module, a zooplankton culture, separation, selection, and delivery module, a wastewater treatment reaction module, and an automatic monitoring and control module. The influent module pre-treats the wastewater, measures pollutants, and delivers the wastewater to the wastewater treatment reaction module. The zooplankton culture, separation, selection, and delivery module selects corresponding zooplankton from the target zooplankton community determined in any one of claims 1 to 7, cultivates and separates them, and delivers them to the wastewater treatment reaction module. The automatic monitoring and control module controls the wastewater influent volume, the zooplankton delivery volume, and adjusts the zooplankton community delivered to the wastewater treatment reaction module.

9. A high-throughput wastewater treatment method based on the rational combination design of zooplankton communities according to claim 8, characterized in that, The water inlet module includes a bar screen sedimentation tank and a sewage pump. The bar screen sedimentation tank is connected to the sewage treatment reaction module through a pipe equipped with the sewage pump.

10. A high-throughput wastewater treatment method based on the rational combination design of zooplankton communities according to claim 8, characterized in that, The zooplankton culture, separation, and delivery module includes multiple sets of parallel culture reactors. Each set of culture reactors is connected to a zooplankton separation and enrichment device. The zooplankton separation and enrichment device is connected to the wastewater treatment reaction module via a delivery pipeline equipped with a delivery pump. The automatic monitoring and control module includes a water quality sensor, a zooplankton image in-situ acquisition and automatic recognition device, and a PLC controller.

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