559 results about "Total phosphorus" patented technology

The invention discloses a Frechet distance-based abnormal inflow traceability method and system for a sewage treatment plant, and the method comprises the steps: carrying out the unit division of the inflow range of the sewage treatment plant through combining land parcel information, pipe network information, convergence conditions, monitoring stations and the like, and analyzing the correlation between total phosphorus and conductivity; arranging a pipe network water quality monitoring micro station, and carding a factory-network-land parcel-source pointer relation library; a sewage treatment plant big data warehouse is constructed, related data are cleaned and treated, and the data are accessed to a pollutant traceability visualization platform; a sewage plant water pollution traceability model is constructed, a water inlet total phosphorus standard exceeding event is selected to carry out traceability research, the traceability model is embedded into a visual platform, and sewage plant total phosphorus concentration standard exceeding traceability visualization is achieved. Compared with the abnormal inflow tracing method of the sewage treatment plant, the large data resource utilization rate can be greatly improved while a large amount of manpower and material resources are saved, and a basis is provided for locking secretly-discharged enterprises, predicting pollution diffusion and environment emergency.

The invention discloses a river water ecological health monitoring method and a river water ecological health monitoring system, relates to the technical field of ecological health monitoring, and aims to solve the problem that a traditional water quality monitoring method mainly depends on water sample collection and laboratory analysis, and judges the water quality by measuring indexes such as dissolved oxygen, pH value, ammonia nitrogen, total phosphorus, heavy metal and dissolved organic matters in water; the river runoff is calculated from the precipitation and the drainage basin area, and the monitoring points are set in combination with the environmental information, so that an accurate data basis can be provided for subsequent water quality health assessment. The water quality condition is predicted by utilizing the water flow speed and the pollution point discharge amount and then compared with an actual monitoring result, so that potential problems can be found in time and a monitoring strategy can be optimized.

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 technical field of water environment treatment, in particular to a water environment ecological treatment method and system based on a constructed wetland, and the method comprises the following steps: measuring the dissolved oxygen concentration, ammonia nitrogen concentration, total phosphorus concentration, water temperature and pH value of a root zone in the constructed wetland, and calculating the pollutant concentration distribution value and plant root system distribution density of each monitoring point; and obtaining a water quality root distribution characterization value. In an artificial wetland environment, the concentration of dissolved oxygen, the concentration of ammonia nitrogen, the concentration of total phosphorus, the water temperature and the pH value of a root zone are measured, the concentration distribution of pollutants is calculated, numerical calculation is carried out in combination with the distribution density of plant root systems, water quality root system distribution characterization is constructed, spatial heterogeneity analysis of wetland water quality is enhanced, and the targeting of pollutant degradation is optimized. Based on water quality root system distribution characterization, plant growth cycle parameters are calculated in combination with water quality parameters, association between water quality dynamic changes and plant growth states is constructed, and the adaptability of wetland ecological regulation and control is improved.

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 phosphorus removal filler and a preparation method and application thereof, and belongs to the technical field of fillers. Sulphoaluminate cement, chitosan, sodium alginate and calcium peroxide are uniformly mixed in a nitric acid solution in an amino-containing coupling agent, then foaming and pore forming are performed under steam, and the phosphorus removal filler is prepared. And finally, uniformly mixing with titanium dioxide, sodium silicate, a ferrous sulfate solution and sodium borohydride to obtain the phosphorus removal filler with an excellent phosphorus removal effect, and the phosphorus removal filler has a rich pore structure and adsorption activity, can sufficiently perform physical adsorption on phosphorus elements, and has a good phosphorus removal effect. Meanwhile, the phosphorus removal filler further has excellent surface complexing activity and photocatalysis, insoluble salt precipitates can be generated through reaction of iron elements and calcium elements and phosphate in water, so that total phosphorus is removed, the material is ground after adsorption saturation and put into a fish pond to serve as a phosphorus supplementing material, resource recycling can be achieved, and the cost is reduced. Wide application prospects are realized.

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 discloses a Trichotoma sp. ZSL-NS2 strain capable of producing protein and application of the Trichotoma sp. ZSL-NS2 strain in wastewater treatment of a dairy farm. The Trichotoma sp. ZSL-NS2 strain named as the Trichotoma sp. ZSL-NS2 strain is preserved in the China Center for Type Culture Collection on November 7, 2024, and the preservation number is CCTCC NO.M20242469. The Trichotoma sp. ZSL-NS2 strain is named as the Trichotoma sp. ZSL-NS2 strain. The algal strain is separated from soil beside a wastewater storage pool of a dairy farm, is purified and enriched under a high-salt condition (the salinity is 2.0-5.0%), has relatively strong wastewater tolerance and pollutant purification capacity, has the removal rates of more than 70% of COD, 85% of ammonia nitrogen, 75% of TN and 95% of conventional pollutants respectively, and particularly has the most obvious removal effect on ammonia nitrogen and total phosphorus. In addition, the protein content of the conneronea is as high as 52%, and the conneronea can be used as a protein raw material for high-value application.

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 relates to the technical field of total phosphorus detection, in particular to a method for determining total phosphorus in water, which comprises the following steps: 1) digestion treatment: adding an oxidant into a water sample to be detected, and then performing microwave digestion treatment to obtain digested water; a molybdate reagent is added into the digested water, then an improved ascorbic acid solution is added, a chromogenic reaction is completed at the set temperature, and the improved ascorbic acid solution is obtained by mixing an ascorbic acid solution and sodium ethylene diamine tetracetate; measuring the concentration: measuring the absorbance value of the obtained color development product by using a spectrophotometer and a long-optical-path cuvette; and drawing a standard curve: using a phosphorus standard solution as a quality control sample, adding a plurality of calibration points in a low-concentration interval of 0.0-0.1 mg / L, carrying out colorimetric determination, and establishing quadratic equation fitting according to absorbance and concentration so as to determine the total phosphorus content of the water sample to be detected, and the method has the advantages of high sensitivity and good accuracy in total phosphorus testing.

The invention discloses a water environment treatment method and platform based on a water environment mathematical model and artificial intelligence, and belongs to the technical field of water environment treatment, and the method comprises the following steps: S1, obtaining water quality data including water depth, water level, flow velocity, flow direction, temperature, salinity, dissolved oxygen, pH value, chemical oxygen demand, ammonia nitrogen, total phosphorus and turbidity; s2, constructing a water environment mathematical model and an artificial intelligence model; the method specifically comprises the following steps: constructing a water environment mathematical model by using water quality data; the water environment mathematical model is used for simulating a hydrodynamic process and spatial and temporal distribution of water quality parameters; the method comprises the following steps: firstly, selecting a basic artificial intelligence model, then carrying out training learning on the artificial intelligence model by using water quality data, and finally obtaining a trained artificial intelligence model; s3, analyzing a water environment by using the artificial intelligence model to obtain spatial and temporal distribution characteristics and dominant factors of water quality parameters; and S4, making a water environment treatment scheme according to the spatial and temporal distribution characteristics of the water quality parameters and the dominant factors.

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 discloses an intelligent monitoring method and system for a composting process, relates to the technical field of composting, and aims to solve the problem that the fermentation effect of compost and the quality of a final product are affected due to hysteresis and inaccuracy of manual monitoring of the composting process. The method comprises the following steps: S1, data acquisition: acquiring key parameter data in a composting process, wherein the parameter data comprises temperature, humidity, pH value, oxygen concentration, organic carbon content, total nitrogen content and total phosphorus content; s2, data transmission: transmitting the key parameter data obtained in the step S1; and S3, data processing and analysis: receiving and storing the key parameter data in the step S2, processing and analyzing the received information, and calculating key indexes in the composting process, the key indexes including a compost maturity index and a compost efficiency index. The method has the advantages that the compost state can be accurately mastered, and the control strategy can be timely adjusted.

The invention discloses a method for enhancing nitrogen and phosphorus removal effects of a whole-course autotrophic nitrogen removal system, and belongs to the technical field of sewage treatment. According to the method, the steel slag powder and the steel slag particles are applied to a nitrification section and a sulfur autotrophic denitrification section respectively, alkalinity consumed by nitrification is supplemented by adding the steel slag powder in the nitrification section, enrichment of nitrifying bacteria is facilitated, metal ions leached from the steel slag powder improve the ammonia nitrogen removal rate, meanwhile, part of phosphate is removed, and the ammonia nitrogen removal rate is increased. The average removal rate of ammonia nitrogen is 99.75%, and the average removal rate of phosphate is 23.22%. According to the invention, the denitrification potential and denitrification effect of the sulfur autotrophic denitrification section are improved, and when the HRT is 3h, the average 97.04% of total nitrogen and the average 86.4% of total phosphorus can be removed; in the denitrification process, metal ions leached from the steel slag can generate precipitates with phosphate, and H < + > generated in the denitrification process can accelerate erosion of the steel slag, so that the phosphorus removal capacity of the steel slag is improved.

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 an attention mechanism-based multi-column neural network effluent total phosphorus concentration multi-step prediction method, relates to the field of artificial intelligence, and is directly applied to the field of sewage treatment. The soft measurement method is used for multi-step prediction of the effluent total phosphorus concentration, and the problems that in the sewage treatment process, the effluent total phosphorus concentration trend is difficult to master, and the prediction cost is high are solved. Aiming at the problem that potential importance difference between a target variable and each auxiliary variable in a prediction task is neglected in traditional multi-step prediction, an input reconstruction mechanism based on an attention mechanism is provided, and the generalization performance of a prediction model is improved; meanwhile, for the problem that only a single error evaluation index is considered in traditional multi-step prediction task division, a loss function combining prediction errors and shape errors is provided for model training, the prediction precision of the model is improved, and management operation of the sewage treatment plant is promoted.

The invention relates to an intelligent water affair data monitoring management method and system, and relates to the field of water affair management, and the method comprises the steps: carrying out the alignment optimization processing of historical and current total nitrogen significance distribution and historical and current total phosphorus significance distribution, and obtaining the position deviation distribution of total nitrogen and total phosphorus; according to the position deviation of a plurality of positions in the total nitrogen and total phosphorus position deviation distribution, calculating to obtain a pollution source moving step length; according to the historical total nitrogen distribution, the historical total phosphorus distribution, the current total nitrogen distribution and the current total phosphorus distribution, the nitrogen and phosphorus change amplitude is obtained through calculation, searching is conducted in combination with the pollution source moving step length, and a pollution source searching result is obtained. The technical problem of limited treatment and removal effects of nitrogen and phosphorus compounds in the printing and dyeing wastewater in the prior art can be solved, and the technical effect of improving the water affair treatment management efficiency of the printing and dyeing wastewater is achieved.

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 relates to the technical field of constructed wetlands, in particular to a constructed wetland iron-carbon-manganese composite filler capable of efficiently removing nitrogen and phosphorus. According to the filler, the manganese ore layer is arranged behind the iron-carbon micro-electrolysis layer, the microenvironment in the iron-carbon micro-electrolysis constructed wetland is adjusted through manganese ore, iron and manganese exist at the same time and can serve as electron donors for microbial denitrification, the effect is better than that of single use of iron, meanwhile, the oxidation capacity of high-valence manganese ions is utilized, and the denitrification efficiency is improved. The ammonia nitrogen in the iron oxide carbon wetland is inhibited or re-oxidized, so that the total nitrogen removal capability of the wetland is enhanced, and efficient nitrogen removal is realized; the manganese ore is large in specific surface area and can adsorb iron ions in water, iron and manganese separated out of the water are effectively removed, and the problem that the dissolution concentration of the iron ions is high is solved; phosphate radicals are adsorbed and removed mainly through ligand exchange with hydroxyl on the surface of manganese nodule, iron ions and ferrous ions dissolved out from the scrap iron are combined with influent phosphate to form precipitates such as iron phosphate, and a very good effect on removal of total phosphorus is achieved.