An intelligent wastewater treatment system

Abstract

The present invention belongs to the technical field of wastewater treatment, and relates to an intelligent wastewater treatment system. The system purifies wastewater step by step through a multi-stage treatment module, and uses a water quality detection and sorting module to detect water quality parameters in real time, combining correlation calculation with a characteristic vector matching algorithm to accurately identify pollution types; through an intelligent buffer storage module, wastewater that does not meet the standards is partitioned and stored according to pollution type, and an electric partition is linked based on a dynamic capacity adjustment formula to achieve adaptive adjustment of chamber capacity; a wastewater reflux judgment module compares the re-inspected pollution type with the initial type, and dynamically matches the reflux path of the treatment unit corresponding to the pollution type. The present invention solves the problems in traditional processes caused by rough pollution type identification, mixed storage in buffer chambers that easily triggers secondary reactions, and the inability to cope with dynamic changes in pollution types. Through wastewater reflux re-inspection and dynamic partition storage, accurate determination of pollution types is achieved, improving determination accuracy and processing efficiency.

Description

Technical Field

[0001] The present invention belongs to the technical field of wastewater treatment technology and relates to an intelligent wastewater treatment system. Background Art

[0002] The textile industry generates a large amount of wastewater during production. This wastewater contains a variety of pollutants, such as dyes, additives, and fiber impurities. If discharged without effective treatment, it can cause serious pollution to the natural environment, including water bodies and soil, disrupting the ecological balance and affecting the growth of plants and animals, as well as human health. Therefore, the proper treatment of textile wastewater has become a key component of the sustainable development of the textile industry. With increasingly stringent environmental protection requirements, the development of efficient, energy-saving, and environmentally friendly textile wastewater treatment systems is of great practical significance.

[0003] Numerous patents exist for wastewater treatment. For example, Chinese Patent Publication No. CN104058515A describes an acidic wastewater treatment system and method. The system comprises a sequentially connected acidic wastewater regulating tank, a lift pump, a primary neutralization tank, an oxidation tank, a secondary neutralization tank, a flocculation tank, a first inclined plate thickener, a second primary neutralization tank, a second oxidation tank, a second secondary neutralization tank, a flocculation tank, a second inclined plate thickener, a mechanical accelerated clarifier, and a clear water tank. This system reduces acidic wastewater treatment costs, comprehensively utilizes waste, and achieves optimal automation and water resource recycling.

[0004] Chinese patent publication number CN118771512A discloses a desulfurization wastewater treatment system control method and a desulfurization wastewater treatment system, which obtains the desulfurization wastewater inlet flow rate and the desulfurization wastewater reflux port flow rate, and determines the desulfurization wastewater flow rate based on the desulfurization wastewater inlet flow rate and the desulfurization wastewater reflux port flow rate; obtains the desulfurization wastewater inlet concentration and the desulfurization wastewater reflux port concentration, and determines the desulfurization wastewater initial concentration based on the desulfurization wastewater inlet concentration and the desulfurization wastewater reflux port concentration; obtains the desulfurization wastewater treatment target concentration and the raw steam pressure; determines the raw steam consumption based on the desulfurization wastewater flow rate, the desulfurization wastewater initial concentration, the desulfurization wastewater treatment target concentration, and the raw steam pressure; generates a raw steam valve control instruction based on the raw steam consumption, controls the raw steam valve action through the raw steam valve control instruction, and adjusts the raw steam input to be the same as the raw steam consumption.

[0005] However, existing technologies still have certain limitations, specifically: 1) The buffer tanks in existing technologies are mostly single-cavity, which cannot classify and store substandard wastewater according to pollution type, and the chamber capacity is fixed. When the real-time wastewater flow fluctuates, the buffer chamber capacity is easily underutilized, resulting in treatment process interruption or resource waste, affecting the stability and economy of the system operation.

[0006] 2) Existing technologies are crude in identifying pollution types, and backflow treatment is not targeted enough. Traditional water quality testing only determines whether the standards are met, and does not construct a pollution type feature vector based on the combination of parameters that exceed the standards. It is impossible to accurately identify the specific pollution type. This makes it impossible to select the corresponding treatment unit for a specific pollution type during backflow treatment, and the entire process can only be repeated, resulting in low treatment efficiency and increased consumption of chemicals and energy.

[0007] 3) The existing technology's fixed return path is unable to cope with dynamic changes in contamination types. It also lacks periodic retesting of the static wastewater in the buffer chamber, and the dynamic adjustment of the return path based on the retest results. If the contamination type of the wastewater changes during storage, the fixed return path will be unable to effectively handle the new contamination type, resulting in repeated substandard water quality and prolonged treatment cycles. Summary of the Invention

[0008] In view of this, in order to solve the problems of extensive pollution type identification and fixed reflux paths in the existing technology, the present invention provides an intelligent wastewater treatment system, which realizes real-time water quality monitoring, pollution type identification, dynamic adjustment of buffer capacity and precise reflux treatment through multi-module collaboration, thereby improving the system's adaptability and treatment effect.

[0009] The purpose of the present invention can be achieved through the following technical solutions: An intelligent wastewater treatment system includes the following modules: a multi-stage treatment module for transporting wastewater to a wastewater treatment reaction tank, and performing multi-stage purification treatment on the wastewater in sequence through the wastewater treatment reaction tank.

[0010] The water quality detection and sorting module is used to detect the water quality parameters of the purified wastewater in real time, integrate and compare them with the preset standard water quality parameter thresholds, determine whether the wastewater meets the discharge standards, and identify the pollution type of the non-standard wastewater based on the combination of exceeded parameters.

[0011] The intelligent buffer storage module is used to divide the storage chamber of the wastewater buffer zone into multiple independent chambers, generate multiple types of buffer chambers according to the type of wastewater pollution, transport substandard wastewater to the corresponding type of buffer chamber, and dynamically adjust the capacity of the corresponding buffer chamber based on the real-time input flow of the substandard wastewater.

[0012] The wastewater reflux judgment module is used to periodically re-inspect the water quality parameters of the static wastewater stored in the buffer chamber, identify the re-inspection pollution type of the static wastewater according to the re-inspection parameters, and determine the pollution type of the static wastewater that needs to be reflowed for treatment based on the re-inspection pollution type.

[0013] The wastewater return treatment module is used to generate a return path according to the pollution type of static wastewater that needs to be returned for treatment, and to return the static wastewater along the return path for treatment until the water quality meets the standards and is discharged.

[0014] Compared with the prior art, the beneficial effects of the present invention are as follows: (1) The present invention adopts multiple types of independent buffer chambers and a dynamic capacity adjustment formula to solve the capacity management problem caused by the mixed storage of wastewater of different pollution types and flow fluctuations, realizes the classified storage of substandard wastewater and adaptive adjustment of the buffer chamber capacity, improves storage efficiency and system operation stability, and avoids waste of buffer chamber capacity.

[0015] (2) Based on the comparative analysis of static wastewater re-inspection results and pollution types, the present invention dynamically generates return paths corresponding to single or multiple types of pollution, and gives priority to high-priority treatment units to solve the problem that the return path is fixed and cannot cope with changes in pollution types, ensures the effective treatment of new pollution types, shortens the treatment cycle, and improves the water quality compliance rate.

[0016] (3) The present invention solves the problem of extensive pollution type identification by matching the similarity between the characteristic vectors of the exceeding parameters and the pollution type database, accurately locates the pollution source of the wastewater that does not meet the standards, provides clear guidance for subsequent return flow treatment, improves the targeted treatment, and reduces the ineffective consumption of chemicals and energy.

[0017] (4) The present invention uses a comprehensive scoring method of correlation calculation and weighted summation, combined with the normalization of the difference between each water quality parameter and the standard value and the weight coefficient, to solve the problem of inaccurate judgment results of the traditional threshold comparison method, scientifically quantify the comprehensive status of water quality, achieve accurate judgment of emission standards, and ensure the compliance and reliability of wastewater discharge. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0019] Figure 1 This is a schematic diagram of the connection of various modules of the system of the present invention.

[0020] Figure 2 Schematic diagram of the internal processing unit of the multi-stage processing module of the present invention.

[0021] Figure 3 This is a logic diagram for dynamic capacity adjustment of the electrically adjustable partition of the intelligent buffer storage module of the present invention. DETAILED DESCRIPTION

[0022] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0023] See also Figure 1 As shown, the present invention provides an intelligent wastewater treatment system, including: a multi-stage treatment module, a water quality detection and sorting module, an intelligent buffer storage module, a wastewater backflow judgment module, and a wastewater backflow treatment module.

[0024] The multi-stage processing module is connected to the water quality detection and sorting module, the water quality detection and sorting module is connected to the intelligent buffer storage module, the intelligent buffer storage module is connected to the wastewater reflux judgment module, the wastewater reflux judgment module is connected to the wastewater reflux processing module, and the wastewater reflux processing module is connected to the multi-stage processing module.

[0025] The multi-stage treatment module is used to transport wastewater to the wastewater treatment reaction tank, and perform multi-stage purification treatment on the wastewater in sequence through the wastewater treatment reaction tank.

[0026] Specifically, see Figure 2 As shown, the wastewater treatment reaction tank includes a physical treatment unit, a chemical treatment unit, a biological treatment unit and a deep treatment unit.

[0027] The physical treatment unit mainly uses grids, sedimentation and other methods to remove suspended solid particles in the wastewater.

[0028] For example, screens, installed at the front end of a wastewater treatment system, can intercept larger suspended matter in the wastewater, such as branches and garbage, preventing these large particles from clogging or damaging subsequent treatment equipment. Sedimentation, on the other hand, utilizes gravity to allow suspended particles in the wastewater to naturally settle in a sedimentation tank, separating them from the water.

[0029] The chemical treatment unit adjusts the pH value of the wastewater or removes soluble pollutants by adding chemical agents.

[0030] It should be noted that when adjusting the pH, if the wastewater is too acidic, an alkaline agent can be added to neutralize it; if the wastewater is too alkaline, an acidic agent can be added to adjust it. To remove soluble pollutants, coagulation and sedimentation can be used. Coagulants are added to agglomerate the soluble pollutants in the wastewater into larger particles, which can then be removed through sedimentation or filtration.

[0031] The biological treatment unit utilizes the metabolism of microorganisms to degrade organic pollutants in wastewater. Common biological treatment methods include activated sludge and biofilm processes.

[0032] Specifically, the activated sludge process involves thoroughly mixing wastewater with activated sludge containing a large number of microorganisms in an aeration tank. Under the action of oxygen, the microorganisms break down organic pollutants in the wastewater into carbon dioxide, water, and their own cellular substances. The biofilm process involves microorganisms attaching to the surface of a solid carrier, forming a biofilm. As wastewater flows through the biofilm, the organic pollutants are adsorbed and decomposed by the microorganisms.

[0033] The deep treatment unit further removes residual pollutants using membrane separation technologies, including microfiltration, ultrafiltration, nanofiltration, and reverse osmosis.

[0034] Specifically, microfiltration and ultrafiltration can remove tiny particles, colloids and large molecular organic matter in wastewater; nanofiltration and reverse osmosis can remove even smaller ions, small molecular organic matter, etc.

[0035] It's important to note that throughout this multi-stage treatment process, each unit doesn't operate in isolation; rather, they work in tandem. Wastewater passes through these units in sequence, gradually removing various pollutants and transforming it from dirty water to standard water.

[0036] The water quality detection and sorting module is used to detect the water quality parameters of the purified wastewater in real time, integrate and compare them with the preset standard water quality parameter thresholds, determine whether the wastewater meets the discharge standards, and identify the pollution type of the non-standard wastewater based on the combination of exceeded parameters.

[0037] The specific method for determining whether the wastewater meets the discharge standard in the water quality detection and sorting module is: using the preset standard water quality parameter threshold as the reference sequence, the actually detected water quality parameters as the comparison sequence, calculating the correlation between each water quality parameter and the corresponding standard water quality parameter, obtaining a comprehensive score based on the weighted sum of the correlation, and comparing the calculated comprehensive score with the preset comprehensive score threshold to determine whether it meets the discharge standard.

[0038] Specifically, the water quality parameter detection uses various professional sensors and detection equipment to perform real-time detection of various water quality parameters of the purified wastewater, such as a turbidity sensor for detecting the amount of suspended solids residue after the physical treatment unit, a pH sensor for detecting the acidity and alkalinity of the wastewater after the chemical treatment unit, a BOD sensor for detecting the organic matter concentration of the biochemical oxygen demand after the biological treatment unit, and a heavy metal ion concentration sensor for detecting the heavy metal ion concentration after the deep treatment unit.

[0039] The method for calculating the correlation between each water quality parameter and the corresponding standard water quality parameter is as follows: comparing each water quality parameter with the corresponding standard water quality parameter threshold value to obtain the difference between each water quality parameter and the corresponding standard water quality parameter. , , is the number of each water quality parameter.

[0040] The difference is normalized to obtain a normalized difference ,in is the standard water quality parameter threshold corresponding to the i-th water quality parameter.

[0041] According to the normalized difference, the correlation between each water quality parameter and the corresponding standard water quality parameter is calculated using a preset correlation calculation formula, and the correlation calculation formula is: in, Indicates the The correlation between a water quality parameter and the corresponding standard water quality parameter. The closer it is to 1, the higher the degree of compliance with the parameter.

[0042] The method for obtaining a comprehensive score based on weighted summation of correlation degrees is as follows: multiplying the correlation degree of each water quality parameter with the corresponding standard water quality parameter by its corresponding weight coefficient to obtain a weighted correlation degree, and adding up all weighted correlation degrees to obtain a comprehensive score.

[0043] Specifically, the weight coefficients are determined using the Analytic Hierarchy Process (AHP). The target layer is constructed to determine the weight coefficients of water quality parameters. The criterion layer, based on the core requirements of wastewater treatment, selects key influencing factors as criteria, such as pollutant hazard level, treatment cost, and environmental risk. Each water quality parameter of the purified wastewater is included in the hierarchical structure of the solution layer. Each factor in the criterion layer is compared pairwise using a 1-9 scale. For example, if the pollutant hazard level is slightly more important than the treatment cost, then in the judgment matrix, the element corresponding to the pollutant hazard level and treatment cost is assigned a value of 3. Conversely, the element corresponding to the treatment cost and pollutant hazard level is assigned a value of 1 / 3. This ultimately constructs a criterion-level judgment matrix A. Similarly, using each criterion-level factor as a benchmark, pairwise comparisons are performed on the solution-level water quality parameters. For each criterion, a corresponding solution-level judgment matrix B is generated. For each row of the judgment matrix, the geometric mean is calculated and then normalized to obtain the weight. The criterion-level weight is multiplied by the solution-level weight under each criterion to obtain the corresponding weight coefficient.

[0044] The method for the water quality detection and sorting module to identify the pollution type of substandard wastewater based on the combination of excessive parameters includes the following steps: obtaining a set of characteristic vectors of multiple pollution types, the set of characteristic vectors being a reference excessive ratio of multiple key parameters, and establishing a pollution type database.

[0045] The water quality parameters of the purified wastewater are compared and analyzed with the preset standard water quality parameter thresholds to identify the parameters that exceed the standard and their exceeding proportions, forming a set of characteristic vectors of the parameters that exceed the standard.

[0046] The set of characteristic vectors of the parameters exceeding the standard is matched with the set of characteristic vectors of each pollution type in the pollution type database to obtain the similarity between the set of characteristic vectors of the parameters exceeding the standard and the set of characteristic vectors of each pollution type, and the pollution types with similarity higher than the set similarity threshold are selected as the pollution types of non-compliant wastewater.

[0047] The pollution type database stores characteristic parameter combinations of 6 types of pollution, among which the suspended matter pollution type corresponds to the physical treatment unit, the heavy metal pollution type and the pH pollution type correspond to the chemical and physical treatment unit, the organic pollution type and the nutrient type pollution correspond to the biological treatment unit, and the trace heavy metal ion pollution type corresponds to the deep treatment unit. For each type of pollution, there is a corresponding characteristic vector set, which is composed of the exceeding proportion range of 3-5 key parameters corresponding to each pollution type. Different pollution types have different key parameters. For example, the key parameters of heavy metal pollution may include the content of heavy metal elements such as lead, mercury, cadmium, and arsenic.

[0048] Specifically, the exceeding parameter refers to a parameter whose actual detected water quality parameter value of the purified wastewater exceeds a preset standard water quality parameter threshold.

[0049] It should be noted that for each parameter exceeding the standard, the exceeding ratio is the ratio of the difference between the water quality parameter detection value of the purified wastewater and the preset standard water quality parameter threshold to the preset standard water quality parameter threshold.

[0050] The similarity analysis method between the set of characteristic vectors of exceeding standard parameters and the set of characteristic vectors of each pollution type is calculated using cosine similarity, and the similarity threshold is set to 0.8.

[0051] The intelligent buffer storage module is used to divide the storage chamber of the wastewater buffer zone into multiple independent chambers, generate multiple types of buffer chambers according to the type of wastewater pollution, transport substandard wastewater to the corresponding type of buffer chamber, and dynamically adjust the capacity of the corresponding buffer chamber based on the real-time input flow of the substandard wastewater.

[0052] Specifically, the buffer chamber is divided into multiple independent chambers by electric adjustable partitions, including heavy metal pollution chambers, organic pollution chambers, acid-base imbalance chambers and other treatment processes corresponding to the multi-stage treatment modules. Each chamber is equipped with an independent water inlet valve and water outlet valve. The electric adjustable partition uses a polymer composite material and the surface is nano-coated. The corrosion resistance meets the requirements of complex environments containing heavy metal ions. It can be driven laterally by a motor to flexibly adjust the volume of each chamber.

[0053] It should be noted that the water inlet and outlet of each chamber are equipped with electromagnetic flow meters to collect input flow and output flow in real time. Ultrasonic liquid level meters are installed on the side walls of the chamber to monitor the liquid level in real time and convert it into remaining capacity.

[0054] Reference Figure 3 As shown, the specific content of the dynamic adjustment of the corresponding buffer chamber capacity is as follows: the real-time input flow of the substandard wastewater is compared with the corresponding buffer chamber output flow. When the real-time input flow of the wastewater is less than the corresponding buffer chamber output flow, the electric adjustment partition corresponding to the buffer chamber does not need to be adjusted. On the contrary, the real-time input flow, the remaining capacity of the buffer chamber, the buffer chamber output flow and the expected target capacity are used as input parameters, and the required adjustment capacity of the substandard wastewater conveying buffer chamber is calculated through the dynamic capacity adjustment formula.

[0055] Among them, when the real-time input flow of the chamber is greater than the output flow of the chamber, it is determined that the current chamber has a capacity overload risk, and the dynamic adjustment process is started.

[0056] The dynamic capacity adjustment calculation formula is: ,in, Adjust the capacity of the buffer chamber to meet the needs of delivering substandard wastewater. is the flow regulation coefficient, is the remaining capacity adjustment coefficient, t is the unit time interval, To input traffic in real time, The remaining capacity of the buffer chamber is Buffer is the output flow of the punch chamber, is the expected target capacity.

[0057] Specifically, It is used to measure the influence of the difference between real-time input flow and output flow on the adjustment of buffer chamber capacity. The value range is between 0 and 1. Set 0.5. It is used to measure the effect of the difference between the remaining capacity of the buffer chamber and the expected target capacity on the capacity adjustment. The value is between 0 and 1, and is set to 0.5. t is a time measurement, and is set to 1 hour. It is used to determine the time range for calculating the influence of the flow difference. It is the preset ideal capacity value of the buffer chamber, expressed in volume units.

[0058] The ratio of the required adjustment capacity of the substandard wastewater conveying buffer chamber to the standard area of ​​the electric adjustable partition is used as the basic adjustment distance of the electric adjustable partition of the corresponding buffer chamber; the remaining capacity of its adjacent buffer chamber is compared with the preset safety capacity threshold. When the remaining capacity is greater than the preset safety capacity threshold, the product of the basic adjustment distance and the set scaling factor is used as the initial movement distance of the corresponding two sides of the electric adjustable partition.

[0059] Specifically, the set scaling factor is a ratio of the remaining capacity of adjacent buffer chambers to a set safety capacity threshold.

[0060] Compare the sum of the initial movement distances on both sides of the electric adjustment partition with the basic adjustment distance. If the sum of the initial movement distances on both sides is less than the basic adjustment distance, obtain the remaining capacity of the buffer chamber corresponding to its adjacent buffer chamber, and repeat the above steps until the basic adjustment distance is met.

[0061] It should be noted that if the remaining capacity of the adjacent buffer chambers on both sides cannot meet the capacity requirements, such as the adjacent chambers on both sides are close to the safety threshold, the multi-stage partition linkage is triggered to realize cross-chamber capacity redistribution. When all adjacent chambers cannot provide effective capacity, the water inlet valve is closed to slow down the entry of wastewater and quickly discharge the wastewater in the buffer chamber.

[0062] The wastewater reflux judgment module is used to periodically re-inspect the water quality parameters of the static wastewater stored in the buffer chamber, identify the re-inspection pollution type of the static wastewater according to the re-inspection parameters, and determine the pollution type of the static wastewater that needs to be refluxed based on the re-inspection pollution type.

[0063] The method for determining the pollution type of static wastewater that needs to be reflowed for treatment based on the re-inspected pollution type is as follows: comparing the re-inspected pollution type of the static wastewater with the pollution type of the non-standard wastewater; if the re-inspected pollution type is the same as the pollution type of the non-standard wastewater, the pollution type of the non-standard wastewater is used as the pollution type of the static wastewater that needs to be reflowed for treatment; if the re-inspected pollution type is different from the pollution type of the non-standard wastewater, the re-inspected pollution type is used as the pollution type of the static wastewater that needs to be reflowed for treatment.

[0064] Specifically, an online water quality detection sensor is installed at the water outlet of each buffer chamber of the intelligent buffer storage module, which shares the same sensor type with the water quality detection and sorting module and is used for periodic re-inspection of static wastewater.

[0065] It should be noted that when the re-inspection pollution type is different from the pollution type of the wastewater that does not meet the standards, it may be that the purified wastewater is in a flowing state during the inspection and is affected by multiple factors. Therefore, the pollution type detected after a period of static storage is more accurate and is used as the judgment standard.

[0066] The wastewater reflux treatment module is used to generate a reflux path according to the pollution type of the static wastewater that needs to be refluxed for treatment, and to reflux the static wastewater along the reflux path for treatment until the water quality meets the standard and is discharged.

[0067] The step of generating a return path according to the pollution type of static wastewater requiring return flow treatment includes: when the pollution type of static wastewater requiring return flow treatment is a single pollution type, performing wastewater return flow treatment on the treatment unit corresponding to the re-inspected pollution type.

[0068] When static wastewater needs to be reflowed for treatment of multiple pollution types, the priorities of the treatment units corresponding to the multiple pollution types are extracted, and the treatment unit with the highest priority is selected to perform wastewater reflow treatment.

[0069] Specifically, when the static wastewater requires a single pollution type for recirculation treatment, the treatment unit corresponding to the pollution type for which the static wastewater requires recirculation treatment is directly called to perform wastewater recirculation treatment. For example, if the static wastewater requires recirculation treatment for organic pollution, the outlet valve is opened to perform wastewater recirculation treatment in the biological treatment unit.

[0070] It should be noted that the priority of treatment units corresponding to multiple pollution types follows the order of physical treatment unit > chemical treatment unit > biological treatment unit > advanced treatment unit. For example, when the static wastewater is contaminated by suspended solids and heavy metals, the suspended solids are removed by sedimentation in the physical treatment unit, while the heavy metals are neutralized by the chemical treatment unit. Since the physical treatment unit precedes the chemical treatment unit in the treatment process of the wastewater treatment tank, wastewater reflux treatment is performed on the physical treatment unit.

[0071] The above embodiments may be implemented in whole or in part through software, hardware, firmware, or any other combination thereof. When implemented using software, the above embodiments may be implemented in whole or in part in the form of a computer program product.

[0072] Those skilled in the art will appreciate that the modules and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0073] In addition, each functional module in each embodiment of the present application may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module.

[0074] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

[0075] Finally, 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 in the scope of protection of the present invention.

Claims

1. An intelligent wastewater treatment system, characterized by: include: The multi-stage treatment module transports the wastewater to the wastewater treatment reaction tank, and performs multi-stage purification treatment on the wastewater in the wastewater treatment reaction tank in sequence; The water quality detection and sorting module detects the water quality parameters of the purified wastewater in real time, integrates and compares them with the preset standard water quality parameter thresholds, determines whether the wastewater meets the discharge standards, and identifies the pollution type of the non-standard wastewater based on the combination of exceeded parameters; The method for the water quality detection and sorting module to identify the pollution type of substandard wastewater based on the combination of excessive parameters includes the following steps: Acquire a set of characteristic vectors of multiple pollution types, wherein the set of characteristic vectors is a reference exceeding-standard ratio of multiple key parameters, and establish a pollution type database; Compare and analyze the water quality parameters of the purified wastewater with the preset standard water quality parameter thresholds, identify the parameters that exceed the standard and their exceeding proportions, and form a set of characteristic vectors of the parameters that exceed the standard; Perform similarity matching on the feature vector set of the exceeding parameters and the feature vector set of each pollution type in the pollution type database to obtain the similarity between the feature vector set of the exceeding parameters and the feature vector set of each pollution type, and select the pollution type with a similarity higher than the set similarity threshold as the pollution type of the wastewater that does not meet the standard; The intelligent buffer storage module divides the storage chamber of the wastewater buffer zone into multiple independent chambers, generates multiple types of buffer chambers according to the type of wastewater pollution, transfers substandard wastewater to the corresponding type of buffer chamber, and dynamically adjusts the capacity of the corresponding buffer chamber based on the real-time input flow of substandard wastewater; The wastewater return judgment module periodically rechecks the water quality parameters of the static wastewater stored in the buffer chamber, identifies the rechecked pollution type of the static wastewater based on the rechecked pollution parameters, and determines the pollution type of the static wastewater that needs to be returned for treatment based on the rechecked pollution type; The wastewater return treatment module generates a return path according to the pollution type of the static wastewater that needs to be returned for treatment, and returns the static wastewater along the return path for treatment until the water quality meets the standards and is discharged.

2. The intelligent wastewater treatment system according to claim 1, characterized in that: The multi-stage treatment module includes a physical treatment unit, a chemical treatment unit, a biological treatment unit and a deep treatment unit. The physical treatment unit is used to remove suspended solid particles in the wastewater. The chemical treatment unit adjusts the pH of the wastewater or removes soluble pollutants by adding chemical agents. The biological treatment unit uses microorganisms to degrade organic pollutants in the wastewater. The deep treatment unit removes residual pollutants through membrane separation.

3. The intelligent wastewater treatment system according to claim 1, characterized in that: The specific method for determining whether the wastewater meets the discharge standard in the water quality detection and sorting module is: using the preset standard water quality parameter threshold as the reference sequence, the actually detected water quality parameters as the comparison sequence, calculating the correlation between each water quality parameter and the corresponding standard water quality parameter, obtaining a comprehensive score based on the weighted sum of the correlation, and comparing the calculated comprehensive score with the preset comprehensive score threshold to determine whether it meets the discharge standard.

4. The intelligent wastewater treatment system according to claim 3, characterized in that: The method for calculating the correlation between each water quality parameter and the corresponding standard water quality parameter is: Compare each water quality parameter with the corresponding standard water quality parameter threshold to obtain the difference between each water quality parameter and the corresponding standard water quality parameter , , is the number of each water quality parameter; The difference is normalized to obtain a normalized difference ,in is the standard water quality parameter threshold corresponding to the i-th water quality parameter; According to the normalized difference, the correlation between each water quality parameter and the corresponding standard water quality parameter is calculated using a preset correlation calculation formula, and the correlation calculation formula is: ,in, Indicates the The correlation between a water quality parameter and the corresponding standard water quality parameter.

5. The intelligent wastewater treatment system according to claim 3, characterized in that: The method for obtaining a comprehensive score based on weighted summation of correlation degrees is as follows: multiplying the correlation degree of each water quality parameter with the corresponding standard water quality parameter by its corresponding weight coefficient to obtain a weighted correlation degree; and adding up all weighted correlation degrees to obtain a comprehensive score.

6. The intelligent wastewater treatment system according to claim 1, characterized in that: The specific content of the dynamic adjustment of the corresponding buffer chamber capacity is as follows: the real-time input flow rate of the substandard wastewater is compared with the output flow rate of the corresponding buffer chamber. When the real-time input flow rate of the wastewater is less than the output flow rate of the corresponding buffer chamber, the electric adjustable partition corresponding to the buffer chamber does not need to be adjusted. On the contrary, the real-time input flow rate, the remaining capacity of the buffer chamber, the output flow rate of the buffer chamber and the expected target capacity are used as input parameters, and the required adjustment capacity of the substandard wastewater delivery buffer chamber is calculated through the dynamic capacity adjustment formula; The ratio of the required adjustment capacity of the substandard wastewater conveying buffer chamber to the standard area of ​​the electric adjustment partition is used as the basic adjustment distance of the electric adjustment partition of the corresponding buffer chamber; Compare the remaining capacity of the adjacent buffer chamber with a preset safety capacity threshold. When the remaining capacity is greater than the preset safety capacity threshold, multiply the basic adjustment distance by the set scaling factor as the initial movement distance of the corresponding two sides of the electric adjustment partition. Compare the sum of the initial movement distances on both sides of the electric adjustment partition with the basic adjustment distance. If the sum of the initial movement distances on both sides is less than the basic adjustment distance, obtain the remaining capacity of the buffer chamber corresponding to its adjacent buffer chamber, and repeat the above steps until the basic adjustment distance is met.

7. The intelligent wastewater treatment system according to claim 6, characterized in that: The dynamic capacity adjustment calculation formula is: ,in, Adjust the capacity of the buffer chamber to meet the needs of delivering substandard wastewater. is the flow regulation coefficient, is the remaining capacity adjustment coefficient, is the unit time interval, To input traffic in real time, The remaining capacity of the buffer chamber is is the output flow of the buffer chamber, is the expected target capacity.

8. The intelligent wastewater treatment system according to claim 1, characterized in that: The method for determining the type of pollution that requires reflux treatment of static wastewater based on the re-inspection pollution type is: The re-inspected pollution type of static wastewater shall be compared with the pollution type of non-compliant wastewater. If the re-inspected pollution type is the same as the pollution type of non-compliant wastewater, the pollution type of non-compliant wastewater shall be regarded as the pollution type of static wastewater requiring reflux treatment; if the re-inspected pollution type is different from the pollution type of non-compliant wastewater, the re-inspected pollution type shall be regarded as the pollution type of static wastewater requiring reflux treatment.

9. The intelligent wastewater treatment system according to claim 1, characterized in that: The step of generating a return flow path according to the pollution type of the static wastewater that needs to be returned for treatment comprises: When the pollution type of static wastewater that needs to be returned for treatment is a single pollution type, the wastewater return treatment is performed on the treatment unit corresponding to the re-inspected pollution type; When static wastewater needs to be reflowed for treatment of multiple pollution types, the priorities of the treatment units corresponding to the multiple pollution types are extracted, and the treatment unit with the highest priority is selected to perform wastewater reflow treatment.

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