A method for treating manure water and related products

Abstract

The present disclosure discloses a method for treating manure water and related products. The method comprises: obtaining a measured value of at least one first parameter of manure water to be treated; calculating an estimated value of a second parameter based on a preset algorithm according to the measured value; setting process parameters of a hydrolysis and enzymatic hydrolysis process according to the measured value, the estimated value and a manure water field application index; and performing hydrolysis and enzymatic hydrolysis treatment on the manure water according to the process parameters, so as to degrade the manure water field application. The method estimates the value of the second parameter according to the actual measured value of the first parameter through the preset algorithm, thereby converting the measurement problem of the second parameter which is relatively complex in measurement method or relatively high in measurement cost into a value estimation problem; the measured value of the first parameter and the estimated value of the second parameter provide comprehensive monitoring data for the process control problem of the hydrolysis and enzymatic hydrolysis process, thereby achieving the balance between monitoring accuracy and monitoring cost in the water quality parameter monitoring problem, and real-time regulation of the hydrolysis and enzymatic hydrolysis process.

Description

Technical Field

[0001] This disclosure generally relates to the field of wastewater treatment technology. More specifically, this disclosure relates to a method for treating sewage and related products. Background Technology

[0002] Livestock farms generate large amounts of manure, including livestock manure and biogas slurry. Livestock manure contains abundant organic matter, nitrogen, phosphorus, and other nutrients, and using it for crop irrigation is an important way to utilize it. However, livestock manure and biogas slurry have always been a key focus and challenge in returning them to the fields.

[0003] This disclosure discloses a crop-livestock integrated process for the resource utilization of manure. This process introduces hydrolysis and enzymatic hydrolysis processes during the treatment of livestock and poultry manure, and then uses the treated manure to irrigate field crops. This is to degrade pollutants in the manure while fully retaining nitrogen, phosphorus, potassium and small molecule organic carbon in the livestock and poultry manure, thus converting the manure into a liquid fertilizer that can be used for field crops.

[0004] The integrated crop-livestock farming process disclosed in this report incorporates hydrolysis and enzymatic hydrolysis into the treatment of livestock manure. However, hydrolysis and enzymatic hydrolysis involve complex process control issues, including monitoring water quality parameters in the manure to be treated and adjusting process parameters based on the monitoring data, particularly the technical challenges of controlling the timing of the transition from hydrolysis to enzymatic hydrolysis. Furthermore, some water quality parameters in hydrolysis and enzymatic hydrolysis processes are difficult to measure accurately. Precise measurement of these parameters often requires sophisticated testing instruments, resulting in high measurement costs.

[0005] In view of this, there is an urgent need to provide a method for treating sewage so as to achieve a balance between monitoring accuracy and monitoring cost in the process of monitoring water quality parameters during sewage treatment. Summary of the Invention

[0006] In order to at least solve one or more technical problems described in the background section above, this disclosure proposes the following technical solutions and several embodiments thereof.

[0007] In a first aspect, this disclosure provides a method for treating manure, comprising: obtaining a measurement value of at least one first parameter of the manure to be treated; calculating an estimated value of a second parameter based on the measurement value using a preset algorithm; setting process parameters for hydrolysis and enzymatic hydrolysis processes based on the measurement value, the estimated value, and the manure return-to-field index; and performing hydrolysis and enzymatic hydrolysis on the manure according to the process parameters, so as to decompose the large molecular organic matter in the manure into small molecular organic matter that is easily absorbed and utilized by plants, while also providing nutrients such as trace elements, amino acids, and humic acid required for crop growth.

[0008] In a second aspect, this disclosure provides a computer-readable storage medium storing program instructions adapted for loading by a processor and executing the method according to the first aspect.

[0009] In a third aspect, this disclosure provides an apparatus for treating sewage, comprising: a processor configured to execute program instructions; and a memory configured to store program instructions that, when loaded and executed by the processor, cause the apparatus to perform the method according to the first aspect.

[0010] The method for treating sewage disclosed in this report first divides water quality parameters into a first parameter and a second parameter based on measurement difficulty or cost. A preset algorithm then estimates the value of the second parameter based on the actual measured value of the first parameter, thus transforming the measurement problem of the second parameter, which is complex or costly, into a numerical estimation problem. The measured values ​​of the first parameter and the estimated values ​​of the second parameter provide comprehensive monitoring data for the process control of hydrolysis and enzymatic hydrolysis, thereby achieving a balance between monitoring accuracy and cost in water quality parameter monitoring and enabling real-time control of the hydrolysis and enzymatic hydrolysis processes. Attached Figure Description

[0011] The above and other objects, features, and advantages of exemplary embodiments of this disclosure will become readily apparent upon reading the following detailed description with reference to the accompanying drawings. In the drawings, several embodiments of this disclosure are illustrated by way of example and not limitation, and like or corresponding reference numerals denote like or corresponding parts, wherein:

[0012] Figure 1 An exemplary schematic diagram of the integrated crop-livestock process in some embodiments of this disclosure is shown.

[0013] Figure 2 An exemplary flowchart of a method for treating sewage according to some embodiments of this disclosure is shown.

[0014] Figure 3 An exemplary schematic diagram of the method for adjusting hydrolysis and enzymatic hydrolysis process parameters in some embodiments of this disclosure is shown.

[0015] Figure 4 A block diagram illustrating the hardware configuration of an apparatus that can implement embodiments of the present invention is shown. Detailed Implementation

[0016] The technical solutions in the embodiments of this disclosure will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this disclosure, not all of them. Based on the embodiments in this disclosure, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this disclosure.

[0017] It should be understood that the terms “comprising” and “including” used in this disclosure and claims indicate the presence of the described features, integrals, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or collections thereof.

[0018] It should also be understood that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the scope of this disclosure. As used in this disclosure and claims, the singular forms “a,” “an,” and “the” are intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term “and / or” as used in this disclosure and claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes such combinations.

[0019] As used in this specification and claims, the term "if" may be interpreted, depending on the context, as "when," "once," "in response to determination," or "in response to detection." Similarly, the phrase "if determined" or "if [described condition or event] is detected" may be interpreted, depending on the context, as "once determined," "in response to determination," "once [described condition or event] is detected," or "in response to detection of [described condition or event]."

[0020] The specific embodiments disclosed herein will now be described in detail with reference to the accompanying drawings.

[0021] Livestock and poultry farms generate a large amount of manure, including livestock and poultry manure slurry and biogas slurry. Livestock and poultry manure slurry includes the excrement and urine produced by livestock and poultry during the breeding process, as well as a large amount of wastewater mixed in during cleaning pens and washing areas. Livestock and poultry farms typically use the solids in the manure slurry for fertilizer production and the liquids for anaerobic fermentation to produce biogas; biogas slurry is also formed during anaerobic fermentation. Livestock and poultry manure slurry (including manure slurry and biogas slurry) contains a large amount of organic matter, nitrogen, phosphorus, and other nutrients, making its use for irrigating crops an important way to utilize manure. However, livestock and poultry manure slurry and biogas slurry have always been a key focus and challenge in returning them to the fields. First, biogas slurry is difficult to dispose of; as for manure slurry, due to its large molecular weight, high concentration, and high salinity, it easily leads to soil compaction, clogs irrigation pipes, and the large organic molecules compete with crops for oxygen, burning seedlings and causing soil salinization, among other problems. At the same time, treating biogas slurry and manure slurry is difficult and costly. Therefore, manure treatment has become a key bottleneck in the full return of livestock and poultry breeding waste to the fields.

[0022] Currently, there are two implementation paths in the field of pollution control for livestock and poultry farming in rural areas: harmlessness and resource recovery. The mainstream approach to harmlessness is to treat manure to meet industry standards such as "Organic Fertilizer" (NY / T525) and "Standard for Irrigation Water in Farmland" (GB5084). However, this treatment process severely depletes the most valuable nitrogen, phosphorus, and small-molecule organic carbon in the manure. Today, in the context of carbon emission management that emphasizes pollution reduction and carbon reduction, synergistic efficiency improvement, and the resource utilization of circular agriculture, the resource utilization of manure has gradually become mainstream. In particular, after the successive promulgation of the two standards, "Biomass Humic Acid Organic Fertilizer" (HG / T6082-2022) and "Technical Specifications for Preparation and Use of Agricultural and Forestry Biogas Slurry Biodegradable Liquid" (T / CACE 074-2023), a good technical solution has been provided for the utilization of nitrogen, phosphorus, potassium, and small molecule carbon in manure. The "treatment" technology path of manure is gradually transformed into a "modification and transformation" approach that focuses on fully retaining nitrogen, phosphorus, potassium, and small molecule organic carbon, turning manure from waste into treasure and transforming pollutants into valuable solid and liquid fertilizers.

[0023] This disclosure discloses a crop-livestock integrated process for the resource utilization of manure. This process introduces hydrolysis and enzymatic hydrolysis processes during the treatment of livestock and poultry manure, and then uses the treated manure to irrigate field crops. This is to degrade pollutants in the manure while fully retaining nitrogen, phosphorus, potassium and small molecule organic carbon in the livestock and poultry manure, thus converting the manure into a liquid fertilizer that can be used for field crops.

[0024] Figure 1 Exemplary schematic diagrams of integrated crop-livestock farming processes in some embodiments of this disclosure are shown. For example... Figure 1 As shown, the integrated crop-livestock farming technology disclosed in this report selects different manure treatment processes for different farm conditions. For farms with existing anaerobic systems, the approach is to modify the storage pond or add enzymatic hydrolysis units, depending on the size of the farm. If the farm already has an anaerobic system and the anaerobic system has a scale of 200m³, this will be considered. 3 If the water volume exceeds 1 / day, the storage pond should be modified, and then all the water in the storage pond should be returned to the fields; if the aquaculture farm already has an anaerobic treatment system with a scale of 200m³, the water volume should be returned to the fields. 3For farms with a sludge volume below a certain level (e.g., sludge per day), the anaerobic system discharges wastewater into a biogas digester. After treatment, the wastewater is discharged into a storage pond, and the water in the pond is then fully returned to the fields. For farms with existing compliant discharge facilities, the existing anoxic and aerobic units in the wastewater treatment process are modified into hydrolysis and enzymatic hydrolysis units, thus stopping chemical dosing and facilitating full return of the effluent to the fields. In this way, after pretreatment, the wastewater is fed into the anaerobic unit, where it undergoes hydrolysis and enzymatic hydrolysis sequentially. After sedimentation, the supernatant is fully returned to the fields. For newly built farms, the treatment method is selected based on scale and region. If the farm's scale is 100m²... 3 For wastewater exceeding 100m² / day, a storage pond with an aerator can be used to complete the hydrolysis, enzymatic hydrolysis, and sedimentation stages. For these farms, the wastewater is first separated into solid and liquid components, then discharged into a two-stage enzymatic hydrolysis pond. The water stored in the enzymatic hydrolysis pond can be fully returned to the farmland. If the farm's size is 100m²... 3 For farms in the south that do not require overwintering, storage ponds are not necessary. After solid-liquid separation, the manure is hydrolyzed and enzymatically decomposed, and after sedimentation, the treated manure is returned to the fields in its entirety. For farms in the north that require overwintering, manure storage ponds must be constructed. After solid-liquid separation, the manure is hydrolyzed and enzymatically decomposed. If the manure is planned for winter use, it can be directly returned to the fields in its entirety after sedimentation. If it is not planned for winter use, the treated manure can be stored in the storage pond after sedimentation and then returned to the fields in its entirety during the planting season. Crops harvested from the fields can be further used as livestock feed, thus forming a good integrated crop-livestock farming process.

[0025] It is understood that the integrated crop-livestock technology disclosed herein can be applied to the treatment of manure in various livestock farms, such as pig farms, cattle farms, or sheep farms, for treating manure and biogas slurry. This technology incorporates an integrated solid-liquid separation, hydrolysis, enzymatic hydrolysis, and sedimentation unit, along with a storage tank. Through hydrolysis and enzymatic hydrolysis of the manure, it achieves full return of the manure to the fields. This process provides continuous effluent, irrigation without burning seedlings, and due to minimal loss of nutrients (nitrogen, phosphorus, potassium) and organic matter, coupled with the presence of abundant beneficial microorganisms, amino acids, humic acid, and other nutrients, its fertilization effect is better than direct fertilizer application. The manure hydrolysis and enzymatic hydrolysis methods used in the integrated crop-livestock technology for field crops form a complete cycle system, a fully interactive system combining soil organic fertilizer and plants, solving common technical challenges in returning manure to the fields. The beneficial effects of this technology include the following four aspects:

[0026] (1) By using hydrolysis and enzymatic hydrolysis to treat livestock manure instead of the previous aerobic aeration method, the organic matter in the water can be retained to the maximum extent, large molecules can be turned into small molecules, and the decomposition of large molecular pollutants can be accelerated by the action of enzyme preparations. While making full use of these resources, the aeration energy consumption is greatly reduced, organic carbon nutrients are retained, environmental pollution is avoided, and the problem of greenhouse gas emissions such as CH4 and CO2 caused by the decomposition of livestock and poultry manure is solved.

[0027] (2) This integrated crop-livestock farming process aims to fully retain nutrients and organic matter to meet planting needs, increase soil organic matter, and improve plant yield and quality. To achieve this, the addition of chemical agents is eliminated, and organic enzyme preparations are used to promote the decomposition of organic matter in water. The use of small-molecule carbon organic liquid fertilizer produced by hydrolysis and enzymatic hydrolysis in cultivated land can improve the physical and chemical properties of the soil, enhance its water and fertilizer retention capacity, and thus improve the growth capacity and stress resistance of crops, thereby increasing crop yield. More importantly, the application of organic fertilizer can largely replace the use of chemical fertilizer. The production of chemical fertilizer requires the consumption of a large amount of CH4 resources. Reducing the use of chemical fertilizer is essentially reducing CO2 emissions, and reducing the use of nitrogen fertilizer can also reduce the emission of N2O and other high-warming-potential gases.

[0028] (3) This process technology can increase the organic matter content in the soil and increase the pH value of the soil by returning the high-carbon organic fertilizer and biogas slurry to the field in full through enzymatic hydrolysis, which is conducive to the dissolution and absorption of various elements in the soil.

[0029] (4) This technology has good economic benefits. This technology can not only save pollution control costs by treating key agricultural pollutants, but also improve the quality and efficiency of agricultural products and increase income in the planting industry. Furthermore, it can form carbon assets through the carbon sink resources generated by the improvement of arable land fertility.

[0030] In some embodiments, the irrigation water quality requirements are determined based on the type of crop planted, mainly considering parameters such as conductivity, salinity, pH value, total nutrients (nitrogen, phosphorus, potassium), and organic matter. Simultaneously, the quality of the influent manure is considered to screen the enzyme preparations entering the hydrolysis and enzymatic hydrolysis tanks, adjusting the formula and dosage to better suit the requirements of manure enzymatic hydrolysis for resource utilization. To achieve the objectives of this disclosure, the relevant technical parameters were determined through the following experimental scheme.

[0031] Under ambient temperatures ranging from 15℃ to 30℃, 15 liters of sewage with a conductivity below 8 mS / cm were collected from four containers. The enzyme dosage was 3%, dissolved oxygen was set at 2 mg / L, and continuous aeration was performed. Parallel experiments were conducted using four different enzyme formulations, and the results are shown in Table 1. Based on Table 1, the following conclusions can be drawn: Enzyme formulation B is more conducive to the rapid reproduction of microorganisms and the formation of small-molecule organic carbon. Enzyme B can reduce odor release and decompose water-soluble macromolecular organic matter (DOC) in sewage into water-soluble small-molecule organic carbon (AOC), thereby converting sewage into an organic carbon nutrient solution that can be used as fertilizer for agricultural planting.

[0032]

[0033]

[0034] Table 1

[0035] It is understandable that crop growth in integrated crop and livestock farming is related to the conductivity of irrigation water; therefore, it is necessary to determine the conductivity range suitable for enzymatic hydrolysis. To determine the conductivity parameters for enzymatic hydrolysis, 15 liters of manure with four different conductivity levels were taken at room temperature (15℃–30℃), and enzyme preparation B was added at a dosage of 3%. Dissolved oxygen was started at 5 mg / L, and continuous aeration was performed in parallel experiments. The results are shown in Table 2. From Table 2, the following conclusions can be drawn: higher conductivity results in lower dissolved oxygen absorption, making it difficult to activate the enzyme preparation. Enzymatic hydrolysis should be performed with a manure conductivity below 8 mS / cm to minimize the impact on enzyme activity, allowing for rapid reaction initiation and optimal results. When organic pollutants begin to decompose, the odor significantly decreases, and the color lightens, indicating that the reaction has started.

[0036]

[0037] Table 2

[0038] Understandably, higher dissolved oxygen levels lead to more complete reactions and more thorough degradation of organic matter. However, providing higher dissolved oxygen requires a large amount of energy, resulting in high operating costs and significant nutrient loss. Therefore, enzymatic hydrolysis processes must provide microorganisms with a minimum amount of oxygen. This process requires a room temperature of 15℃-30℃. Four 15-liter tanks of manure with a conductivity below 8 mS / cm were used. Enzyme preparation B was added at a dosage of 3%, and continuous aeration was performed. Parallel experiments were conducted with initial dissolved oxygen levels of 0.5 mg / L, 2 mg / L, 5 mg / L, and 8 mg / L, and the results are shown in Table 3. Based on Table 3, the following conclusion can be drawn: controlling the initial dissolved oxygen at around 2 mg / L maximizes the retention of organic matter while minimizing energy consumption.

[0039]

[0040]

[0041] Table 3

[0042] Under ambient temperatures ranging from 15℃ to 30℃, 15 liters of manure from four buckets with a conductivity below 8 mS / cm were collected. Enzyme preparation B was added at a dosage of 3%, and dissolved oxygen was started at 2 mg / L. Parallel experiments were conducted using continuous aeration and different on-off combinations. The experimental results are shown in Table 4. Based on Table 4, the following conclusion can be drawn: continuous aeration is beneficial for retaining nitrogen and preventing the loss of nutrients (nitrogen, phosphorus, potassium) and organic matter, and has the best effect.

[0043]

[0044] Table 4

[0045] Under ambient temperatures ranging from 15℃ to 30℃, four buckets containing 15 liters of sewage with a conductivity below 8 mS / cm were tested. Dissolved oxygen was started at 2 mg / L, and continuous aeration was performed. Enzyme formulation B was added at dosages of 0.10%, 0.5%, 1%, and 2% respectively in parallel experiments. The results are shown in Table 5. Based on Table 5, the following conclusion can be drawn: using enzyme formulation B with a dosage of 1% is the most economical.

[0046]

[0047]

[0048] Table 5

[0049] The packing material acts as a carrier for the colloidal active substances in which enzyme preparations and fecal water are combined. It can effectively prevent the loss of active substances, provide an environment for the growth and life of microorganisms, and allow the enzyme preparations to continuously multiply in the water for the enzymatic hydrolysis of fecal water.

[0050] Under ambient temperatures ranging from 15℃ to 30℃, 15 liters of sewage with a conductivity below 8 mS / cm were collected from four containers. Dissolved oxygen was started at 2 mg / L, and continuous aeration was performed. Enzyme preparation formula B was added at a dosage of 1%. Parallel experiments were conducted using four different packing materials, and the results are shown in Table 6. Based on Table 6, the following conclusions can be drawn: Using packing material B results in shorter setup time, better adhesion of active substances, and superior enzyme propagation compared to other packing materials or no packing material.

[0051]

[0052] Table 6

[0053] Simulating anaerobic reaction conditions, a mixer and packing material were added to the reaction device, along with anaerobic bacteria. Continuous stirring resulted in a lighter color and a conductivity reduction to below 6 mS / cm after 15 days. For enzymatic hydrolysis pretreatment of manure, ordinary stirring with specialized packing material and enzyme preparations can be used instead of an anaerobic biogas digester. This pretreatment process reduces investment and avoids nutrient loss, providing more nutrients (nitrogen, phosphorus, potassium) and organic matter for integrated crop and livestock farming.

[0054] Based on the above experimental design, the optimal technical parameters for the enzymatic hydrolysis of manure water for field crop crop crop-livestock integration were determined to be: room temperature 15℃-30℃, conductivity 8ms / cm, dissolved oxygen 2mg / L at startup, continuous aeration, addition of enzyme preparation B at a dosage of 1%, and use of packing material B.

[0055] The integrated crop-livestock farming process disclosed in this report incorporates hydrolysis and enzymatic hydrolysis into the treatment of livestock manure. However, hydrolysis and enzymatic hydrolysis involve complex process control issues, including monitoring water quality parameters in the manure to be treated and adjusting process parameters based on the monitoring data. In hydrolysis and enzymatic hydrolysis processes, some water quality parameters are difficult to measure accurately. Precise measurement of these parameters often requires sophisticated testing instruments, leading to high measurement costs. Therefore, this report discloses a method for treating manure to achieve a balance between monitoring accuracy and cost during the monitoring of water quality parameters in the manure treatment process.

[0056] Figure 2 Exemplary flowcharts of methods for treating manure wastewater according to some embodiments of this disclosure are shown. It should be noted that the manure wastewater disclosed in this disclosure can be any type of livestock manure or biogas slurry obtained from the anaerobic fermentation of manure wastewater, including but not limited to pig manure, cow manure, sheep manure, and related biogas slurries. Figure 2 As shown, in some embodiments, the method for treating sewage disclosed herein includes: step 201, obtaining a measurement value of at least one first parameter of the sewage to be treated; step 202, calculating an estimated value of a second parameter based on the measurement value using a preset algorithm; step 203, setting process parameters for hydrolysis and enzymatic hydrolysis processes based on the measurement value, the estimated value, and the sewage return-to-field index; and step 204, performing hydrolysis and enzymatic hydrolysis treatment on the sewage according to the process parameters to facilitate the degradation of the sewage.

[0057] Regarding step 201, it is understood that for the hydrolysis and enzymatic hydrolysis steps in the sewage treatment process, the water quality parameters can be divided into first parameters and second parameters according to the measurement difficulty or measurement cost. The first parameter is easy to obtain with a lower measurement cost or a simpler measurement method, while the measurement method for the second parameter is more complex or the measurement cost is higher.

[0058] For step 202, it is understood that a preset algorithm is used to estimate the value of the second parameter based on the actual measured value of the first parameter, thereby transforming the measurement problem of the second parameter into a numerical estimation problem. By selecting a high-performance estimation algorithm, a reliable estimate of the second parameter can be obtained. The measured value of the first parameter and the estimated value of the second parameter provide comprehensive monitoring data for the process control of hydrolysis and enzymatic hydrolysis processes.

[0059] Regarding step 203, it is understood that livestock manure can include both sewage and biogas slurry. Because the organic matter in manure has a large molecular weight, high concentration, and high salinity, it not only easily leads to soil compaction in arable land and blocks irrigation pipes, but also causes competition for oxygen with crops, scorching seedlings and contributing to soil salinization and other problems. Therefore, livestock manure must meet the established standards for returning it to the fields before it can be utilized as a resource. To ensure that the treated manure meets the standards for returning it to the fields, the process parameters for hydrolysis and enzymatic hydrolysis need to be set based on water quality monitoring data and the standards for returning it to the fields.

[0060] Regarding step 204, it is understood that after enzymatic and hydrolytic treatment of the manure water according to the set process parameters, the manure water can be degraded, which helps to make the various water quality parameters of the manure water meet the standards for returning to the field.

[0061] It is understood that the method for treating sewage disclosed in this paper first divides water quality parameters into a first parameter and a second parameter based on the difficulty or cost of measurement. A preset algorithm is then used to estimate the value of the second parameter based on the actual measured value of the first parameter. This transforms the measurement problem of the second parameter, which is relatively complex or costly, into a numerical estimation problem. The measured values ​​of the first parameter and the estimated values ​​of the second parameter provide comprehensive monitoring data for the process control of hydrolysis and enzymatic hydrolysis processes, thus achieving a balance between monitoring accuracy and monitoring cost in water quality parameter monitoring.

[0062] In some embodiments, process parameters are initialized based on the manure return-to-field index and the water quality of the raw manure. It is understood that, in order to ensure the treated manure meets the return-to-field index, the manure treatment process needs to first initialize relevant process parameters, monitor water quality parameters in real time after the treatment process starts, and control the process parameters in the hydrolysis and enzymatic hydrolysis processes based on the water quality monitoring data and the return-to-field index.

[0063] In some embodiments, the first parameter includes: pH, conductivity, dissolved oxygen, turbidity, temperature or redox potential; the second parameter includes: chemical oxygen demand, ammonia nitrogen content, total phosphorus or total nitrogen.

[0064] Understandably, the measurement methods for primary parameters such as pH, conductivity, dissolved oxygen, turbidity, temperature, or redox potential are relatively simple and inexpensive; while the measurement methods for secondary parameters such as chemical oxygen demand, ammonia nitrogen content, total phosphorus, or total nitrogen are more complex and costly.

[0065] Understandably, this disclosed embodiment leverages the large-scale accumulation of six common and inexpensive speed monitoring parameters and core parameters, employs neural network algorithms, and adheres to the development concept of "one algorithm per plant" to conduct large-scale learning on the subsequent enzymatic hydrolysis stations of each farm. This enables it to instantly provide semi-quantitative or even nearly equal simulated values ​​to the core parameters, thereby guiding operation and management.

[0066] In some embodiments, the method for treating sewage disclosed herein further includes: predicting future water quality parameters based on a preset prediction algorithm and historical water quality parameter data.

[0067] It is understood that water quality parameters include a first parameter and a second parameter; historical data of the first parameter's measurement values ​​and historical data of the second parameter's estimated values ​​constitute time series data, which can be used to predict future data using prediction algorithms. In some embodiments, the prediction algorithm includes a Long Short-Term Memory (LSTM) model or a Gated Recurrent Unit (GRU) model. LSTM / GRU are two variants of Recurrent Neural Networks (RNNs), which can learn long-term dependencies in time series data, thereby predicting future data based on historical data.

[0068] It is understandable that the method for treating sewage disclosed in this disclosure, through learning from historical data, can predict the daily characteristics and seasonal trends of the enzymatic hydrolysis station based on the original inflow conditions after a period of time, and take precautions against various possible shock loads and water quality changes, and specifically address upstream sewage discharge fluctuations, thereby achieving optimal control of the overall enzymatic hydrolysis process system.

[0069] In some embodiments, calculating an estimated value of the second parameter based on the measured value using a preset algorithm includes: establishing a mapping relationship between the first parameter and the second parameter; and calculating an estimated value of the second parameter based on the measured value using the mapping relationship.

[0070] Understandably, neural network algorithms, especially multilayer perceptrons (MLPs) or LSTMs in deep learning, are well-suited for handling sequential data and complex nonlinear relationships. In the embodiments disclosed herein, the neural network algorithm can learn a complex mapping relationship between a first parameter and a second parameter, thereby obtaining an estimate of the second parameter based on the measurement of the first parameter.

[0071] Support Vector Machines (SVMs) are supervised learning models used for classification and regression analysis. In regression analysis, SVMs can be used to predict continuous values. The advantage of SVMs lies in their ability to handle nonlinear problems in high-dimensional spaces through kernel tricks, meaning that even with high-dimensional input data, SVMs can find effective classification or regression boundaries. In some embodiments, the SVM algorithm is used to establish a mapping relationship between first and second parameters, thereby building a predictive model from first to second parameters.

[0072] In some embodiments, establishing a mapping relationship between the first parameter and the second parameter includes: selecting a prediction parameter from multiple first parameters based on the degree of influence of multiple first parameters on the prediction of the second parameter; and establishing a mapping relationship between the prediction parameter and the second parameter.

[0073] Random Forest is an ensemble learning algorithm that improves prediction accuracy and prevents overfitting by constructing multiple decision trees and combining their predictions. Random Forest can handle a large number of features without requiring feature scaling, which is very useful when dealing with different types and ranges of water quality parameters. In some embodiments, the Random Forest algorithm is used to calculate the influence of multiple first parameters on the prediction of a second parameter. Then, the first parameter with the greatest influence is selected from the multiple first parameters as the prediction parameter. A mapping relationship is then established between the prediction parameter and the second parameter to accurately predict the second parameter, thereby optimizing the data acquisition and processing flow in sewage treatment processes.

[0074] In some embodiments, the process parameters of the hydrolysis and enzymatic hydrolysis processes are set according to the measured values, estimated values, and manure return to the field index, including: determining the standard values ​​of the first parameter and the second parameter according to the manure return to the field index to obtain the first standard value and the second standard value; and setting the process parameters of the hydrolysis and enzymatic hydrolysis processes according to the difference between the first standard value and the measured value and the difference between the second standard value and the estimated value.

[0075] Understandably, the manure return-to-field index sets standard values ​​for various water quality parameters (including the first and second parameters). To ensure that the treated manure meets the return-to-field index, it is necessary to monitor water quality parameters in real time during the manure treatment process and control the hydrolysis and enzymatic hydrolysis process parameters based on the water quality parameter monitoring data and the return-to-field index. In some embodiments, the process parameters of the hydrolysis and enzymatic hydrolysis processes are adjusted based on the absolute value of the difference between the measured value of the first parameter and the corresponding first standard value, so that the measured value of the first parameter approaches the first standard value. In some embodiments, the process parameters of the hydrolysis and enzymatic hydrolysis processes are adjusted based on the absolute value of the difference between the estimated value of the second parameter and the corresponding second standard value, so that the estimated value of the second parameter approaches the second standard value.

[0076] In some embodiments, the process parameters include hydrolysis process parameters and enzymatic hydrolysis process parameters; the hydrolysis process parameters include: the amount of hydrolyzing bacterial agent added, the speed of the mixer, the concentration of dissolved oxygen during hydrolysis, or the residence time of the hydrolyzing bacterial agent; the enzymatic hydrolysis process parameters include: the amount of enzymatic bacterial agent added, the aeration rate, the concentration of dissolved oxygen during enzymatic hydrolysis, or the residence time of the enzymatic bacterial agent.

[0077] Figure 3 This illustration shows an exemplary schematic diagram of the method for adjusting hydrolysis and enzymatic hydrolysis process parameters in some embodiments of this disclosure. First, the crop type can be selected based on manure irrigation conditions and crop growth conditions. In some embodiments, the manure irrigation conditions required for normal crop growth are determined based on crop growth conditions. If the manure provided by the integrated crop-livestock process does not meet the manure irrigation conditions required for normal crop growth, other crops need to be substituted. The considered crop growth conditions include: climate conditions, number of days in the growing season, soil pH, light intensity, and temperature. Based on the crop growth conditions, the corresponding manure irrigation conditions can be determined, including: the amount of irrigation water required to produce 100 kg of grain and the maximum irrigation interval. In some embodiments, based on data such as irrigation and fertilization during the planting process, combined with local soil and climate conditions, crop growth conditions are continuously optimized through data analysis to guide the integrated crop-livestock process.

[0078] continue Figure 3For raw wastewater obtained from livestock farms, it is tested to obtain a first parameter value of the raw water quality. Then, based on the mapping relationship between the first parameter and the second parameter, a second parameter of the raw water quality is estimated. In some embodiments, the first parameter is a water quality parameter with low measurement cost, including pH, conductivity, salinity, color, and water content; wherein the values ​​of pH, conductivity, salinity, color, and water content are controlled to be: 7.7, 7.8 ms / cm, 4.3 ppt, black, and ≥95%, respectively. In some embodiments, the second parameter is a water quality parameter with high measurement costs, including COD, ammonia nitrogen, SS, total organic matter content, nitrogen content, phosphorus content, potassium content, and water-soluble small molecule organic matter content; wherein the values ​​of COD, ammonia nitrogen, SS, total organic matter content, nitrogen content, phosphorus content, potassium content, and water-soluble small molecule organic matter content are controlled to be: 12000 mg / L, 1200 mg / L, 13600 mg / L, 10 g / L, 1.4, 0.2, 1.9, and 1.6 g / L, respectively. In some embodiments, based on the water quality data of all projects on the cloud platform, the corresponding relationships of each water quality are analyzed to infer the range of high-cost water quality data, and the rationality of the data is continuously verified to form empirical formulas to guide the operation of general projects.

[0079] continue Figure 3 The pretreatment steps for raw water include solid-liquid separation, pH adjustment, and dilution. In some embodiments, dilution conditions are controlled by: linking the tap water metering inlet device and the sewage inlet device, and adding a dilution ratio; if COD ≥ 15000 mg / L or conductivity ≥ 15 mS / cm, the dilution ratio is 1:3; if 10000 ≤ COD ≤ 15000 mg / L or 12 ≤ conductivity ≤ 15 mS / cm, the dilution ratio is 1:2; if 10000 ≤ COD ≤ 16000 mg / L or 10 ≤ conductivity ≤ 12 mS / cm, the dilution ratio is 1:1. In some embodiments, the selection conditions for the solid-liquid separation equipment are controlled by: opening the solid-liquid separation device and its corresponding valve, and ensuring SS ≥ 10000 mg / L. In some embodiments, the selection conditions for the pH adjustment device are controlled by: automatically starting the pH dosing device and calculating the dosage according to the water quality parameters; adding acid when pH ≥ 8 and adding alkali when pH ≤ 6. In some embodiments, if COD ≤ 6000 mg / L or conductivity ≤ 6 mS / cm, and SS ≤ 5000 mg / L, hydrolysis and enzymatic hydrolysis can be performed directly without pretreatment. The pretreatment unit valve is closed, and the hydrolysis and enzymatic hydrolysis valve is opened. In some embodiments, the project is operated according to preset conditions. During operation, if the set parameters cannot guarantee the water quality standards and nutrient requirements for integrated crop-aquaculture, the raw water reaction conditions need to be adjusted, and the process technical parameters need to be continuously adjusted.

[0080] continue Figure 3After pretreatment, the wastewater undergoes hydrolysis. In some embodiments, hydrolysis parameters include: bacterial agent dosage, mixer speed, dissolved oxygen concentration, and bacterial agent residence time. In some embodiments, the bacterial agent dosage, mixer speed, dissolved oxygen concentration, and bacterial agent residence time are controlled to be 1%, 60 rpm, ≤0.2 mg / L, and 10 days, respectively. In some embodiments, the bacterial agent dosage is controlled by: automatically adjusting the dosage of the metering device according to the water quality; if the conductivity is between 8 and 10, the bacterial agent dosage is 1%; if the conductivity is between 6 and 8, the bacterial agent dosage is 0.8%; if the conductivity is between 4 and 6, the bacterial agent dosage is 0.5%. In some embodiments, the residence time in the hydrolysis tank is controlled by: automatically draining the wastewater at a set time; if the conductivity is between 8 and 10, the hydrolysis tank residence time is 10 days; if the conductivity is between 6 and 8, the hydrolysis tank residence time is 8 days; if the conductivity is between 4 and 6, the hydrolysis tank residence time is 6 days. In some embodiments, if COD ≤ 4000 mg / L or conductivity ≤ 4 ms / cm and SS ≤ 3000 mg / L, enzymatic hydrolysis can be performed directly without pretreatment and hydrolysis. The valve entering the hydrolysis tank will automatically close, and the valve entering the enzymatic hydrolysis tank will open.

[0081] continue Figure 3After hydrolysis, the wastewater undergoes enzymatic hydrolysis. In some embodiments, the parameters of the enzymatic hydrolysis process include: bacterial agent dosage, aeration rate, dissolved oxygen concentration, and bacterial agent residence time. In some embodiments, the bacterial agent dosage, aeration rate, dissolved oxygen concentration, and bacterial agent residence time are controlled to be 1%, 1 VVM, 2 mg / L, and 10 days, respectively. In some embodiments, the dosage of the enzymatic hydrolysis bacterial agent is controlled by automatically adjusting the metering and dosing device according to the water quality: if the conductivity is between 8 and 10, 1% of the bacterial agent is added; if the conductivity is between 6 and 8, 0.8% of the bacterial agent is added; if the conductivity is between 4 and 6, 0.5% of the bacterial agent is added. In some embodiments, the residence time of the enzymatic hydrolysate is controlled by the following methods: automatic drainage at a set time; automatic drainage every 10 days if the conductivity is between 8 and 10; automatic drainage every 8 days if the conductivity is between 6 and 8; automatic drainage every 6 days if the conductivity is between 4 and 6; and automatic drainage every 4 days if the conductivity is between 2 and 4. In some embodiments, if COD ≤ 2000 mg / L or conductivity ≤ 2 mS / cm and SS ≤ 1000 mg / L, no pretreatment, hydrolysis, or enzymatic hydrolysis is required. The wastewater is disinfected and then directly used for irrigation or storage. The inlet valve is directly connected to the enzymatic hydrolysate drain valve, and the disinfection device is used directly for irrigation or to enter the storage tank. In some embodiments, temperature, humidity, agent dosage, and residence time are recorded during operation. The platform data is analyzed and integrated to determine the optimal aeration rate and dissolved oxygen range in the water, and to optimize the agent dosage and residence time, meeting water quality requirements while making operation more economical and reliable, reducing project investment and operating costs.

[0082] continue Figure 3 After enzymatic hydrolysis, precipitation occurs. In some embodiments, the parameters of the precipitation step include surface loading, residence time, and sludge discharge cycle. In some embodiments, the values ​​of surface loading, residence time, and sludge discharge cycle are controlled to be: 0.5m 3 / m 2 The time intervals are 2 days and 10 days. In some embodiments, the retention time and sludge discharge cycle are determined by a small-scale test using a graduated cylinder. In some embodiments, parameters related to the sedimentation effect are compiled based on the properties of the raw water and operational data, and the retention time, drainage, and sludge discharge cycle are adjusted by monitoring the water quality in the sedimentation tank.

[0083] continue Figure 3After sedimentation, the wastewater is stored for up to 90 days. In some embodiments, the storage tank volume is calculated using the following formula: Storage tank volume = longest irrigation interval * daily treatment volume. After storage, the wastewater can be used to irrigate crops. In some embodiments, irrigation parameters include: irrigation method, pH value, conductivity, salinity, color, COD, ammonia nitrogen, SS, total organic matter, N, P, K, and water-soluble small molecule organic matter content. In some embodiments, flood irrigation is used, and the values ​​of pH value, conductivity, salinity, color, COD, ammonia nitrogen, SS, total organic matter, N, P, K, and water-soluble small molecule organic matter content are controlled as follows: 7.9, 4.2 ms / cm, 2.4 ppt, dark brown, 2500 mg / l, 200 mg / l, 2000 mg / l, 6 g / l, 0.5, 0.2, 0.9, and 4 g / l. In some embodiments, basic data serves as the project initiation condition and initial operation setting. The project operates according to the conditions set by the cloud platform, and the working status of the equipment is controlled based on the detected and estimated data to achieve rapid and accurate process control. At the same time, all project planting and operation data on the cloud platform are updated in real time, guiding the entire system to optimize operation and become more intelligent and precise.

[0084] Furthermore, this disclosure discloses a computer-readable storage medium storing program instructions adapted for loading by a processor and executing the method for treating sewage according to the embodiments described above.

[0085] Furthermore, the present invention discloses an apparatus for treating sewage, comprising: a processor configured to execute program instructions; and a memory configured to store program instructions, which, when loaded and executed by the processor, cause the apparatus to perform the sewage treatment method described in the preceding embodiments of the present invention.

[0086] Figure 4 A block diagram illustrating the hardware configuration of the apparatus 400 that can implement embodiments of the present invention is shown. Figure 4 As shown, the device 400 may include a processor 401 and a memory 402. The processor is configured to execute program instructions, and the memory is configured to store program instructions that, when loaded and executed by the processor, cause the device to perform the method for treating sewage according to any of the above embodiments. Figure 4 In the apparatus 400, only the components relevant to this embodiment are shown. Therefore, it will be apparent to those skilled in the art that the apparatus 400 may also include components related to... Figure 4The common components shown are different. The specific functions implemented by the memory 402 and processor 401 of the device 400 provided in the embodiments of this specification can be explained in comparison with the foregoing embodiments in this specification, and can achieve the technical effects of the foregoing embodiments, so they will not be repeated here.

[0087] Device 400 can correspond to a computing device with various processing functions. For example, device 400 can be implemented as various types of devices, such as personal computers (PCs), server devices, mobile devices, etc.

[0088] Processor 401 can control the operation of device 400. For example, processor 401 can be implemented by a central processing unit (CPU), graphics processing unit (GPU), application processor (AP), intelligence processing unit (IPU), etc., provided in device 400. However, the present invention is not limited thereto. In this embodiment, processor 401 can be implemented in any suitable manner. For example, processor 401 can take the form of, for example, a microprocessor or processor and a computer-readable medium storing computer-readable program code (e.g., software or firmware) executable by the (micro)processor, logic gates, switches, application-specific integrated circuits (ASICs), programmable logic controllers, and embedded microcontrollers, etc.

[0089] The memory 402 can be used to store various data and instructions processed in the storage device 400. For example, the memory 402 can store processed data and data to be processed in the device 400. The memory 402 can store data that has been processed or is to be processed by the processor 401, such as the measurement value of the first parameter obtained for the sewage to be treated. In addition, the memory 402 can store applications, drivers, etc. to be driven by the device 400. For example, the memory 402 can store various programs related to a method for treating sewage that will be executed by the processor 401. The memory 402 can be DRAM, but the present invention is not limited thereto. The memory 402 can include at least one of volatile memory or non-volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), flash memory, phase-change RAM (PRAM), magnetic RAM (MRAM), resistive RAM (RRAM), ferroelectric RAM (FRAM), etc. Volatile memory may include dynamic RAM (DRAM), static RAM (SRAM), synchronous DRAM (SDRAM), PRAM, MRAM, RRAM, ferroelectric RAM (FeRAM), etc. In some embodiments, memory 402 may include at least one of hard disk drive (HDD), solid-state drive (SSD), high-density flash memory (CF), secure digital card (SD), micro-secure digital card (Micro-SD), mini-secure digital card (Mini-SD), extreme digital card (xD), cache, or memory stick.

[0090] In summary, the specific functions implemented by the computer-readable storage medium and the apparatus for treating sewage provided in the embodiments of this specification can be explained in comparison with the foregoing embodiments in this specification, and can achieve the technical effects of the foregoing embodiments. Therefore, they will not be repeated here.

[0091] While numerous embodiments of this disclosure have been shown and described herein, it will be apparent to those skilled in the art that such embodiments are provided by way of example only. Many modifications, alterations, and alternatives will occur to those skilled in the art without departing from the spirit and intent of this disclosure. It should be understood that various alternatives to the embodiments of this disclosure described herein may be employed in the practice of this disclosure. The appended claims are intended to define the scope of this disclosure and therefore cover equivalents or alternatives within the scope of these claims.

Claims

1. A method for treating sewage, comprising: Obtain a measurement value of at least one first parameter of the sewage to be treated; The second parameter is estimated based on the measured value using a preset algorithm. The process parameters for hydrolysis and enzymatic hydrolysis are set based on the measured values, the estimated values, and the manure return index. The sewage is subjected to hydrolysis and enzymatic hydrolysis according to the process parameters to facilitate its degradation.

2. The method according to claim 1, further comprising: The process parameters are initialized based on the manure return to the field index and the water quality of the raw manure water.

3. The method according to claim 1, wherein, The first parameter includes: pH, conductivity, dissolved oxygen, turbidity, temperature or redox potential; the second parameter includes: chemical oxygen demand, ammonia nitrogen content, total phosphorus or total nitrogen.

4. The method according to claim 1, further comprising: Based on a preset prediction algorithm and historical water quality parameter data, predict future water quality parameter data.

5. The method according to claim 1, wherein, Calculating an estimated value for the second parameter based on the measured value using a preset algorithm includes: Establish a mapping relationship between the first parameter and the second parameter; The estimated value of the second parameter is calculated based on the measured value according to the mapping relationship.

6. The method according to claim 5, wherein, Establishing the mapping relationship from the first parameter to the second parameter includes: Based on the degree of influence of multiple first parameters on the prediction of the second parameter, the prediction parameter is obtained by filtering from the multiple first parameters; Establish a mapping relationship between the prediction parameters and the second parameter.

7. The method according to claim 1, wherein, The process parameters for hydrolysis and enzymatic hydrolysis are set based on the measured values, the estimated values, and the manure return index, including: The standard values ​​of the first parameter and the second parameter are determined based on the manure return index to obtain the first standard value and the second standard value; The process parameters for hydrolysis and enzymatic hydrolysis are set based on the difference between the first standard value and the measured value, and the difference between the second standard value and the estimated value.

8. The method according to claim 1, wherein, The process parameters include hydrolysis process parameters and enzymatic hydrolysis process parameters; The hydrolysis process parameters include: the amount of hydrolysis bacteria added, the speed of the mixer, the concentration of dissolved oxygen in the hydrolysis unit, or the residence time of the hydrolysis unit; the enzymatic hydrolysis process parameters include: the amount of enzymatic bacteria added, the aeration rate, the concentration of dissolved oxygen in the enzymatic hydrolysis unit, or the residence time of the enzymatic hydrolysis unit.

9. A computer-readable storage medium storing program instructions adapted to be loaded by a processor and executed according to any one of claims 1-8.

10. An apparatus for treating sewage, comprising: A processor, configured to execute program instructions; as well as A memory configured to store the program instructions, which, when loaded and executed by the processor, cause the apparatus to perform the method according to any one of claims 1-8.

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