427 results about "Total phosphorus" patented technology

The invention provides a sewage treatment carbon source adding control method, and relates to the technical field of sewage treatment, and the method comprises the following steps: obtaining water inlet parameters of a water inlet end of sewage to be treated and process parameters of a treatment section, the water inlet parameters comprising chemical oxygen demand, total nitrogen, total phosphorus and flow; the process parameters comprise the phosphate concentration at the tail end of an anaerobic tank, the nitrate concentration at the tail end of an anoxic tank, and the total nitrogen and chemical oxygen demand of inlet water of a denitrification filter tank; dynamically calculating a predicted carbon-nitrogen ratio and a predicted carbon-phosphorus ratio in real time according to water inlet parameters and the process parameters; based on the predicted carbon-nitrogen ratio, the predicted carbon-phosphorus ratio and a preset effluent quality standard, a carbon source adding point and a first carbon source adding amount are determined, and the carbon source adding point comprises at least one of an anaerobic tank, an anoxic tank and a denitrification filter tank; according to the carbon source feeding point and the first carbon source feeding amount, the carbon source feeding device is controlled to execute corresponding feeding operation, through segmented feeding and closed-loop control, COD standard exceeding caused by excessive carbon sources is avoided, and secondary pollution is effectively inhibited.

The invention relates to the field of environment monitoring and ecological restoration, in particular to a farmland and river ecological collaborative monitoring and regulation system and method. The system comprises a first-stage barrage, a second-stage barrage, a gabion revetment, front-end acquisition equipment, execution equipment and a server, wherein the first-stage barrage and the second-stage barrage are arranged at intervals; the execution equipment comprises irrigation equipment, a first gate, a second gate and an ecological flocculant putting device; the server comprises a data acquisition module, a data storage module, an analysis processing module and a control execution module, inputs control parameters including a first gate opening degree, a second gate opening degree, an irrigation equipment electric valve opening degree and an ecological flocculant putting amount through an LSTM model, and predicts state variables including an upstream water level, a downstream flow, an irrigation water supply amount, a total phosphorus concentration and a total nitrogen concentration; and a multi-target optimization model including agricultural water demand, ecological flow, flood control safety and water quality purification targets is solved in combination with an optimization NSGA-II algorithm, target control parameters are acquired, and a control instruction is generated to drive execution equipment.

The invention discloses a sewage plant total phosphorus concentration prediction method based on multiple machine learning models and a control system, and belongs to the field of environmental monitoring and treatment. The method comprises the following steps: automatically collecting detection data of a sewage plant, and generating a time sequence data set through intelligent preprocessing; according to the method, a total phosphorus concentration prediction model is constructed by adopting multiple machine learning algorithms, a reference prediction model is automatically selected through evaluation indexes, hyper-parameter tuning is performed by utilizing a swarm intelligence optimization method, and an optimized high-performance prediction model is obtained. The model is deployed to a real-time monitoring system, and through integration with a PLC and monitoring hardware, high-frequency prediction and dynamic regulation and control closed loop are realized; and continuously optimizing model parameters and a regulation and control strategy by returning deviation information to form a'prediction-control-optimization 'closed loop. According to the method, the effluent total phosphorus concentration prediction precision and regulation efficiency are remarkably improved, the agent adding cost is reduced, and the intelligent level of a sewage treatment system is improved.

The invention discloses a sewage treatment method, system and device based on a neural network model and a medium, and relates to the technical field of sewage treatment.By monitoring water quality parameters such as inflow total phosphorus concentration in real time, neural network model input data are preset to always reflect the current actual working condition instead of prediction based on outdated or fixed data, and the accuracy of sewage treatment is improved. The timeliness and accuracy of dosing amount prediction are ensured, and the hysteresis of traditional off-line detection is eliminated to realize real-time regulation and control. A plurality of treatment schemes are obtained by generating different combinations of dissolved gas amount and hydraulic retention time, each treatment scheme corresponds to different minimum dosage, and on the premise of ensuring that the sewage treatment effect meets the effluent total phosphorus concentration limit value, the treatment scheme corresponding to the minimum sewage treatment cost is taken as a target scheme, so that the sewage treatment efficiency is improved. According to the decision-making mode based on cost optimization, the most economical operation scheme can be selected from a plurality of feasible schemes, so that the sewage treatment cost is effectively reduced on the premise that the total phosphorus concentration requirement of effluent is met.

The invention relates to a method for treating nitrogen and phosphorus-containing cleaning wastewater, which comprises the following steps: adding residual activated sludge, activated carbon and a nitrogen and phosphorus removal bacterial agent into a treatment system, carrying out braising exposure treatment, and regularly adding an organic carbon source; the nitrogen and phosphorus removal bacterial agent at least contains microbacterium kitamiense (PR) and aeromicrobe (Aeromicrobe tamlense) (PW), and is characterized in that the nitrogen and phosphorus removal bacterial agent at least contains the microbacterium kitamiense (PR) and the aeromicrobe tamlense (PW); the preservation numbers of the strain are respectively CGMCC (China General Microbiological Culture Collection Center) No. 25182 and CGMCC No. Starting water feeding after braising exposure is finished, and continuously operating to treat the cleaning wastewater. According to the method, total nitrogen, total phosphorus and COD in the wastewater can be efficiently removed at the same time in one structure, the treatment burden of a subsequent biochemical unit is avoided, the process is simple, and the cost is low.

The invention discloses a special phosphorus removal agent for deep phosphorus removal and a preparation method and application thereof, and relates to the field of phosphorus removal agents and preparation methods thereof.The phosphorus removal agent is prepared from a porous precursor, an activating agent and a dispersing agent, and the porous precursor comprises at least one of aluminum oxide, iron oxide, calcium oxide and magnesium oxide; the activating agent comprises at least one of lanthanum salt, cerium salt, zircon salt, magnesium salt and ferric salt. By optimizing the composition of the porous precursor and activating treatment, the phosphorus adsorption capacity is remarkably improved, the phosphorus removal agent also plays a role in micro-flocculation in the process of mixed adsorption with sewage, a wet adding mode is adopted, the adding amount can be flexibly adjusted according to the phosphorus concentration condition of inlet water and outlet water, and the phosphorus removal efficiency is improved. The phosphorus removal agent can reduce the total phosphorus concentration in tail water of a sewage treatment plant to 0.5 mg / L or below.

The invention relates to the technical field of preparation of positive electrode materials, in particular to a preparation method and application of a lithium iron phosphate material. The preparation method at least comprises a process of sintering a precursor material under a reduction condition to obtain the lithium iron phosphate material, wherein the precursor material at least comprises an iron source, a lithium source, a phosphorus source and a metal dopant, the mass ratio of the metal dopant is larger than or equal to 0, and the molar ratio of the iron element to the total phosphorus and the molar ratio of the doped metal to the total phosphorus are 0.96-0.97. According to the preparation method, generation of the iron phosphide (Fe3P, Fe2P, FeP and the like) impure phase is controlled from the burdening end by regulating and controlling the proportion of specific elements in the raw materials, so that preparation of the lithium iron phosphate material with high compaction and low iron phosphide impure phase is realized, and subsequent complicated impurity removal operation is avoided.

The present application provides a control method for adding a carbon source to sewage treatment, which relates to the technical field of sewage treatment, comprising the following steps: obtaining water inlet parameters of the sewage to be treated and process parameters of the treatment section, the water inlet parameters including chemical oxygen demand, total nitrogen, total phosphorus and flow rate, and the process parameters including phosphate concentration at the end of the anaerobic tank, nitrate concentration at the end of the anoxic tank, total nitrogen and chemical oxygen demand of the denitrification filter inlet; dynamically calculating and predicting the carbon-nitrogen ratio and the carbon-phosphorus ratio in real time based on the water inlet parameters and the process parameters; determining a carbon source addition point and a first carbon source addition amount based on the predicted carbon-nitrogen ratio, the predicted carbon-phosphorus ratio and a preset effluent water quality standard, the carbon source addition point including at least one of the anaerobic tank, the anoxic tank and the denitrification filter; controlling a carbon source addition device to perform corresponding addition operations based on the carbon source addition point and the first carbon source addition amount, and avoiding excessive COD caused by excessive carbon source through segmented addition and closed-loop control, thereby effectively suppressing secondary pollution.

The invention discloses a regulation and control method and system for gradient resource utilization of rural domestic tail water, and the requirements of reuse water in different seasons are met through regulation and control, that is, the quality of outlet water in the irrigation season meets the farmland water quality standard, and the quality standard of miscellaneous use of tail water or ecological water supplement is met in the non-irrigation season. According to the method, the state of tail water is monitored in real time through a sensor matrix, meanwhile, organic matter (or chemical oxygen demand) and ammonia nitrogen, total nitrogen, total phosphorus and microorganism effluent quality requirements input by a user are obtained, and time sequence semantic features of the state of the tail water are mined by adopting a neural network technology based on deep learning; and carrying out conjoint analysis on organic matters, ammonia nitrogen, total nitrogen and total phosphorus effluent to obtain associated characterization of multi-aspect tail water treatment requirements.

The invention discloses a micro-nano air flotation coupling critical micro-flocculation phosphorus removal control method, which relates to the technical field of water treatment, and comprises the following steps: when the total phosphorus concentration is lower than a preset concentration threshold value, determining the proportion of non-target particles based on the water turbidity and particle spectrum distribution; adding a flocculating agent according to a preset critical dosage to generate target phosphorus floc, and synchronously forming a primary flocculation phase which can be distinguished from non-target particles; applying an interfacial activity regulation factor to the micro-nano bubbles based on the primary flocculation phase, and performing selective regulation; forming a bubble-phosphorus floc complex based on a selective regulation effect; the bubble-phosphorus floc complex is separated and removed in an air flotation mode, the competition intensity history of non-target particles is recorded, and a competition memory curve is formed. According to the method, interfacial activity regulation factors are applied to the surfaces of the micro-nano bubbles, so that the micro-nano bubbles can preferentially and selectively adsorb target phosphorus floc, and efficient removal of low-concentration total phosphorus is realized.

The invention discloses a real-time measurement method and device for total phosphorus flux in water, and relates to the technical field of water quality monitoring, and the method comprises the following steps: S1, arranging a radar wave current meter on a monitoring section, and obtaining real-time flow data; s2, installing a multi-parameter water quality sensor array to obtain conventional water quality index data; s3, establishing a multi-parameter coupled long short-term memory (LSTM) network inversion model, and inverting total phosphorus concentration data; s4, calculating the total phosphorus flux in real time according to a flux calculation method, uploading the total phosphorus flux to a cloud platform, and enabling the relative error between inversion data and real data to be smaller than 15% of a sensor, thereby proving that the inversion method of the scheme has very high precision, and because the error range of the inversion data is relatively small, the reliability of the inversion method is relatively high; according to the method, the inversion data can be more reliable, so that a more accurate and scientific decision can be made, the inversion data can more accurately reflect the actual total phosphorus concentration condition due to the high precision, and reliable data support is provided for water quality monitoring and management.

The invention discloses a system and a method for classified sewage treatment, and belongs to the technical field of environmental engineering and water treatment. The system comprises the following components: an intelligent water quality detection module, which is used for real-time and accurate monitoring of COD, BOD, ammonia nitrogen, total phosphorus, suspended matter concentration and heavy metal content; the sectional bioreactor realizes deep removal of nitrogen and phosphorus and efficient biological treatment by flexibly adjusting reaction conditions of each section; the intelligent flocculation control module is used for automatically and accurately adjusting the adding amount of a flocculating agent, and is combined with integrated operation of efficient inclined tube precipitation and sludge concentration, so that the water quality of discharged water is stable, and the medicament consumption is reduced; the ultrafiltration membrane bioreactor effectively removes residual suspended matters and colloids, and ensures that the effluent stably reaches the standard for a long time through the synergistic effect of catalytic ozonation; and the sludge treatment module is used for realizing collaborative optimization management of sludge reduction, recycling and energy recycling.

The preparation method comprises the following steps: S1, preparing a phosphoric acid solution, a hydrogen peroxide solution, a Ti salt, a phosphor salt solution and a ferrite solution; s2, Ti salt and the ferrite solution are mixed, and a titanium iron salt solution is obtained; mixing the phosphoric acid solution and the phosphorus salt solution to obtain a phosphorus source solution; s3, adding the titanium iron salt solution into a reaction kettle, and adding the hydrogen peroxide solution; s4, adding the phosphorus salt solution into the reaction kettle to obtain yellow slurry; s5, after the color of the slurry is heated to be white, white slurry is obtained; s6, carrying out solid-liquid separation on the white slurry to obtain an iron phosphate dihydrate filter cake; and S7, drying and calcining the iron phosphate dihydrate filter cake to obtain the Ti-doped battery-grade anhydrous iron phosphate. The titanium-doped iron phosphate is firstly prepared by a one-step method, the pH value of the reaction system is controlled by controlling the molar ratio of the iron element to all phosphorus elements in total phosphorus, ammonium phosphate and phosphoric acid in the reaction system, and the retention of the Ti element in the finished product and the regulation and control of the iron-phosphorus ratio in a specified range are ensured.

The invention discloses a sewage treatment process effluent total phosphorus prediction method based on a hierarchical decomposition-integrated neural network, relates to the field of artificial intelligence, and solves the problems that the effluent total phosphorus concentration trend in the sewage treatment process is difficult to master, the prediction cost is high and the like. Aiming at the problems that the sewage treatment process is influenced by various environmental factors, the effluent total phosphorus embodies various characteristics such as multi-periodicity and nonlinearity, and the prediction precision is influenced, a hierarchical decomposition-integrated prediction model framework is provided, a time sequence is decomposed into a multi-periodicity component, a trend component and a residual error, and the prediction precision is influenced by the multi-periodicity component, the trend component and the residual error. Therefore, each component is accurately modeled, and the prediction performance of the prediction model is improved. Meanwhile, aiming at the problem that a common attention mechanism only pays attention to the internal importance of input variables, an improved attention mechanism is provided, the training efficiency is improved by removing redundant input components, the prediction precision of the model is improved by weighting important components, and the management operation of the sewage treatment plant is promoted.

The invention provides a method for degrading organic phosphorus and recycling phosphorus in water in an ozone oxidation system. According to the method, a mode of adding iron or iron salt solution step by step is innovatively adopted, so that the degradation rate of phosphorus-containing organic matters in water, the generation rate of phosphate radicals and the removal of total phosphorus in water are remarkably improved. Besides, the treatment effect is evaluated by monitoring the organophosphorus mineralization rate (taking the generation amount of phosphate radicals as an index) and the removal rate of total phosphorus in water, experiments show that the method can increase the organophosphorus mineralization rate by 30% or above, and the removal rate of total phosphorus reaches 95%. Compared with the conventional one-time addition of iron or iron salt, the method has the advantages that the mineralization rate of organophosphorus and the removal rate of total phosphorus are effectively improved through a step-by-step addition strategy, the direct precipitation of an organophosphorus intermediate product is promoted, the use amount of ozone and the addition amount of iron are remarkably reduced, the reaction time is greatly shortened, and the recovery efficiency of phosphorus resources is further improved. The method is low in cost and suitable for advanced treatment of organic phosphorus-containing wastewater in the industries of pesticides, electroplating and the like.

The invention belongs to the technical field of water treatment agents, and particularly relates to a water treatment agent based on comprehensive utilization of red mud and a preparation method thereof. The water treatment agent based on comprehensive utilization of red mud is prepared from the following preparation raw materials in parts by weight: 95 to 105 parts of red mud, 25 to 35 parts of dolomite, 10 to 20 parts of diatomite and 5 to 10 parts of sodium polyacrylate. The invention aims to break through the technical bottleneck of a red mud-based water treatment agent through component design and process optimization. The adsorption activity of red mud is activated by introducing dolomite to regulate the alkalinity of a system, mass transfer and dispersity are enhanced by utilizing the high specific surface area of diatomite, and rapid flocculation separation of adsorbed pollutants is realized by virtue of assistance of sodium polyacrylate. All the components form a synergistic removal mechanism aiming at COD, ammonia nitrogen and total phosphorus through pH regulation and control, multi-level adsorption, coprecipitation and flocculation coupling effects, the treatment efficiency and economical efficiency are remarkably improved, and a new way is provided for high-value utilization of the red mud.

The invention discloses a virulence factor gene relative abundance prediction model based on water quality physicochemical indexes, and relates to the technical field of ecological environment protection, and the virulence factor gene relative abundance prediction model comprises the following steps: taking a plurality of river water samples, obtaining virulence factor gene relative abundance of the river water samples, and obtaining water quality physicochemical index data of the river water samples; temperature, redox potential, ammonia nitrogen, nitrate nitrogen, nitrite nitrogen, total nitrogen, total dissolved solids, pH, conductivity, chlorophyll-a, chemical oxygen demand, dissolved oxygen, total organic carbon, total phosphorus, organic nitrogen, phosphate, carbon-nitrogen ratio and organic nitrogen / total nitrogen are taken as explanatory variables, and relative abundance of virulence factor genes is taken as a target variable. And establishing a regression model by adopting a GBM algorithm in an h2o packet in R software, and predicting the relative abundance of the virulence factor gene of the river water sample to be detected by utilizing the prediction model. The research provides a brand new method for predicting the relative abundance of the virulence factor gene and analyzing the environmental response of the virulence factor gene, and the method is suitable for identification and interpretation of a high-dimensional nonlinear ecosystem with complex interaction.

The invention discloses a Vinck Cellulomicrobe and application thereof in degradation of corn straw and improvement of soil fertility, and belongs to the field of agricultural microbial technology and solid waste resource utilization. The bacterial strain can secrete a plurality of hydrolase and oxidase including AA10 family lytic polysaccharide monooxygenase, AA2 peroxidase, GH3 and GH1 beta-glucosidase, GH16 / GH17 beta-glucosan endonuclease and AA1 multi-copper oxidase. The bacterial strain has the advantages that the bacterial strain can secrete a plurality of hydrolase and oxidase; fermentation liquor is applied to soil according to the straw mass ratio of 1: 5, and the corn straw degradation rate can be increased under the condition that the mass ratio of soil to straw is 100: 1. Meanwhile, the microbial agent can synergistically improve soil nutrients and increase the contents of rapidly available phosphorus, rapidly available potassium, alkali-hydrolyzable nitrogen, soluble organic carbon and total phosphorus in soil. According to the microbial agent, a straw lignocellulose structure is effectively cracked through a multi-enzyme system synergistic effect, and the dual effects of accelerating straw degradation and improving soil fertility are achieved.

The invention discloses a river total phosphorus concentration prediction method based on an XGBOOST model. The method comprises the following steps: obtaining river basin water quality data provided by an online water quality monitoring station; preprocessing the water quality data of the river basin; constructing a data set; performing total phosphorus concentration prediction by using an XGBoost regression model; basic parameters of the prediction model are initialized and trained, and SHAP analysis is introduced; and inputting real-time data to be measured into the trained prediction model, and outputting a prediction result. The system comprises a data set construction module, a model construction module, a model training module and a model application module. By using the method, high-precision prediction of the total phosphorus concentration of the river basin is realized. The method can be widely applied to the field of water quality monitoring.

The invention discloses a coupling model nitrogen and phosphorus simulation method based on agricultural seasonal decomposition characteristics, provides an agricultural seasonal decomposition model SDA, and simulates the total nitrogen flux and the total phosphorus flux of a drainage basin in combination with a hydrological model and a multivariate deep learning model. The method not only can follow a watershed hydrological cycle process, considers migration and transformation processes of nitrogen and phosphorus along with hydrological processes such as rainfall, infiltration and evaporation, has a solid hydrological physical process, but also can deeply excavate a complex relationship between nitrogen and phosphorus and factors influencing migration and transformation of the nitrogen and phosphorus, so that the method has a good application prospect. According to the method, the features in the time series data can be efficiently extracted and fused, the interpretability of machine learning can be improved, the data requirement and parameter uncertainty of a traditional hydrological model can be reduced, and therefore the accuracy and robustness of total nitrogen flux and total phosphorus flux prediction are improved.

The invention discloses a water index prediction method based on sewage treatment, which comprises the following steps of: stirring and standing water, dividing regions and depths, establishing a local position water supply amount model, adjusting water inlet indexes for the first time, and establishing a logarithmic function model to predict the water inlet indexes of different depths. Finally, five models are established to predict the PH value, the COD, the ammonia nitrogen content, the total phosphorus content and the total nitrogen content respectively, and predicted values are displayed after time correspondence. According to the method, firstly, water supply and layered modeling are performed after standing, then dynamic changes of water quality indexes are accurately reflected in combination with the vertical distribution characteristics of fluid after standing, and a logarithmic function is constructed based on the law that the concentration is attenuated along with time during precipitation and diffusion of pollutants to predict water inlet indexes in the depth direction to reduce the sampling frequency. By means of grid dynamic correction and weighting of the displacement proportion by means of the arithmetic mean value, sampling deviation caused by flow disturbance is reduced, prediction robustness is improved, it can be guaranteed that the quality of sewage is relatively uniform through the scheme, then the optimized water inlet index is obtained by weighting the displacement proportion by means of the mean value of the water inlet indexes of all the areas, and the prediction accuracy is improved. And calculating the optimized water inlet indexes through the constructed logarithmic function to obtain water inlet indexes of different depths, and inputting the water inlet indexes of different depths into the set five groups of models for calculation and prediction to obtain water outlet indexes.

The utility model belongs to the technical field of sewage treatment, and discloses in-situ lake dephosphorization equipment which comprises a movable floating platform, the movable floating platform floats on the lake surface, a waterproof box body is fixedly installed in the center of the top of the movable floating platform, and solar panels are laid on the top of the movable floating platform except the position covered by the waterproof box body. A plurality of dephosphorization function structures are arranged and integrated in one device, the problem of high cost caused by engineering of traditional treatment engineering facilities is solved, the problem of total phosphorus pollution in lake water is solved in a targeted mode, and the comprehensive dephosphorization device has the advantages that the comprehensive dephosphorization function structures are arranged and integrated in one device. And the equipment is low in operation cost, floats on the lake surface, is convenient to move through solar power supply, is energy-saving and environment-friendly, and is wide in application scene.

The invention relates to a leather industry wastewater advanced treatment method and device in the technical field of wastewater advanced treatment, the treatment method comprises the steps of pretreatment, ozone oxidation, denitrification treatment, aeration, Fenton reaction, precipitation, filtration and the like, and in discharged water, COD is smaller than or equal to 30 mg / L, the ammonia nitrogen content is smaller than or equal to 1.5 mg / L, the total nitrogen content is smaller than or equal to 6 mg / L, and the total phosphorus content is smaller than or equal to 0.3 mg / L. The treatment device comprises a pretreatment device, an ozone oxidation tank, a two-stage nitrification / denitrification tank, a Fenton fluidized bed reactor, a sedimentation tank and a turntable filter tank which are sequentially connected in series. The method is short in process flow, high in treatment efficiency and stable in removal efficiency, and can be used for deeply treating the leather industry wastewater, so that the COD (Chemical Oxygen Demand) in the discharged water is reduced to 30 mg / L or below, the ammonia nitrogen content is reduced to 1.5 mg / L or below, the total nitrogen content is reduced to 6 mg / L or below, and the total phosphorus content is reduced to 0.3 mg / L or below.

The present application belongs to the technical field of sewage treatment, and discloses an energy-saving and consumption-reducing precise dosing control method for urban sewage treatment facilities. The method comprises the following steps: setting a predetermined total phosphorus concentration of the sewage treatment module in the data module as a reference for subsequent dosing control and effluent quality judgment; collecting the inflow flow and the inflow total phosphorus concentration of the sewage treatment module by the data module; determining the detection phosphorus reduction dosing amount of the dosing module according to the predetermined total phosphorus concentration, the inflow flow and the inflow total phosphorus concentration; converting the orthophosphate concentration into the total phosphorus concentration by installing an orthophosphate detection unit at the inflow end of the high-efficiency sedimentation tank and combining the experience coefficient obtained through historical data analysis, so as to calculate the dosing amount; and avoiding the dependence of the traditional system on the expensive and frequently-maintained total phosphorus online detector, thereby significantly reducing the system deployment cost and operation and maintenance difficulty.

The invention discloses a method for determining a toughness and catastrophe threshold value of a functional group of a water ecosystem, and relates to the technical field of water environment ecological engineering.The method comprises the steps that the state of a target water ecosystem is determined according to the total nitrogen content, the total phosphorus content and the chlorophyll content of a water body in the target water ecosystem, the state of the target water ecosystem is eutrophication or non-eutrophication; determining the biomass of phytoplankton based on the target water ecosystem state; utilizing an Ecopath model to construct a static food network relation model of the target water ecosystem; based on the target water ecosystem state, the biomass of the phytoplankton and the static food network relation model, determining a toughness threshold value and a catastrophe threshold value of the biomass of each functional group; each functional group is a plurality of groups for dividing species in the target water ecosystem. According to the method, the water ecosystem functional group toughness threshold value and the catastrophe threshold value which are simple to operate and high in accuracy can be provided.

The invention discloses a water quality parameter measurement method driven by a multilayer deep learning model, which realizes high-precision measurement of key water quality parameters such as COD (Chemical Oxygen Demand), total nitrogen (TN), total phosphorus (TP), nitrate nitrogen (NO3-N), nitrite nitrogen (NO3-N), ammonia nitrogen (NH3-N), turbidity and chromaticity by fusing CNN (convolutional kernel 3 * 1 and kernel number 32 / 64), BiLSTM (hidden nodes 30-60) and Attention mechanism and combining WOA hyper-parameter optimization (learning rate 0.001-0.01). According to the method, Savitzky-Golay filtering (window 11, order 3) denoising is adopted, data quality is enhanced through normalization preprocessing, model robustness is improved through 10-fold cross validation and an Adam optimizer, the problem that a traditional model is poor in adaptability to complex spectrum time sequence data is solved, and the method is suitable for rapid online monitoring of water quality.

The invention belongs to the technical field of sewage treatment, and particularly relates to a low-carbon-nitrogen-ratio sewage short-process nitrogen and phosphorus removal system and method. The method comprises the following steps: S1, capturing a carbon source and synthesizing an internal carbon source; s2, synchronous denitrification phosphorus removal; S3, layered nitrification treatment and internal carbon source reutilization; and S4, material circulation. According to the invention, denitrifying phosphorus-accumulating bacteria are used as an active carbon source carrier, and soluble VFAs which is easily fight for by common heterotrophic denitrifying bacteria is converted into solid PHA in the bacteria in a carbon source capture and internal carbon source synthesis tank; according to the method, the total nitrogen and the total phosphorus in the sewage with the low carbon-nitrogen ratio can be efficiently and deeply removed, and meanwhile, the method has the outstanding advantages of being low in energy consumption, small in sludge yield and small in occupied area.

The invention relates to the technical field of sewage treatment, and discloses a sewage dephosphorization method and device, computer equipment and a storage medium, and the sewage dephosphorization method comprises the following steps: obtaining a total phosphorus actual value and a chemical oxygen demand actual value of to-be-treated sewage, calculating a ratio of the total phosphorus actual value to the chemical oxygen demand actual value, and according to the range of the total phosphorus actual value and the range of the specific value, determining a phosphorus removal mode adopted when the to-be-treated sewage is subjected to phosphorus removal. According to the first PH value of the to-be-treated sewage, determining the type of a phosphorus removal agent selected when the to-be-treated sewage is subjected to phosphorus removal; furthermore, the dosage of the phosphorus removal agent can be dynamically optimized through real-time monitoring and an intelligent control algorithm, efficient and accurate phosphorus control is achieved, consumption of the phosphorus removal agent is remarkably reduced, and it is ensured that the total phosphorus of effluent stably reaches the standard.

The invention discloses a water plant inlet water quality change identification method and system, and the method comprises the steps: collecting water plant inlet water turbidity, pH value, dissolved oxygen content, COD concentration, ammonia nitrogen concentration, total phosphorus concentration and other parameters, removing abnormal values, and constructing a water quality parameter time sequence data set; causal association among parameters is mined through a causal inference-based hybrid model, a weight matrix is generated, after the matrix and time sequence data are fused, bidirectional time features are extracted through a bidirectional long-short-term memory network in combination with an attention mechanism, attention weights are given, and then a gradient elevator integrated model is input; a plurality of base learners are used for parallel learning and dynamic weighted fusion of local results to obtain a preliminary recognition result, and finally the preliminary recognition result is mapped to a water quality change type space to determine a change type. The system comprises six units, a complete and efficient treatment flow is formed from water quality parameter collection to final recognition result output, and the actual requirements of a water plant for high-precision and high-reliability recognition of inflow water quality changes are practically met.

The invention discloses a micro reagent total phosphorus analyzer and an analysis method, and belongs to the technical field of water quality monitoring. A liquid metering assembly comprises an injection pump, a liquid storage ring and a multi-channel valve; the digestion colorimetric assembly comprises a digestion tube, a heating element, a temperature sensor, a fan, a light source and a photodiode; the liquid discharge assembly comprises a peristaltic pump; a liquid outlet of the injection pump is connected with a first port of the liquid storage ring through the first electromagnetic pinch valve and the second electromagnetic pinch valve in sequence, a second port of the liquid storage ring is connected with a public port of the multi-channel valve, and a sample inlet of the digestion pipe is connected with a first channel of the multi-channel valve and the peristaltic pump through the first high-pressure two-way valve. The other channels of the multi-channel valve are respectively connected with the water sample to be detected, and a total phosphorus detection reagent and a total phosphorus standard solution which are used for carrying out total phosphorus analysis on the water sample to be detected. The micro-reagent total phosphorus analyzer provided by the invention can eliminate cross contamination of reagents, reduce reagent consumption and waste liquid amount, and improve metering precision and detection stability of micro-reagents.