177 results about "Phosphorus concentration" patented technology

The invention provides a method for determining the volatilization behavior of antimony, a silicon single crystal rod, a silicon wafer and a solar cell, and the method comprises the steps: determining the volatilization behavior of antimony in a leading and releasing stage and / or an equal-diameter stage: in the leading and releasing stage, pulling out a small end from molten silicon; the total feeding amount and the initial antimony concentration are obtained; the mass, the phosphorus-antimony concentration and the phosphorus concentration of the small head are obtained; according to the total feeding amount, the phosphorus-antimony concentration, the initial antimony concentration and the phosphorus concentration, the volatilization amount of antimony in the small end pulling stage is calculated; in the equal-diameter stage, the actual resistivity of the silicon rod at multiple positions is obtained; converting the actual resistivity at the plurality of positions into actual phosphorus and antimony concentrations; acquiring the actual phosphorus concentration at each position; calculating the actual antimony concentration at each position according to the actual phosphorus-antimony concentration and the actual phosphorus concentration; and according to the actual antimony concentration, the effective segregation coefficient of antimony, the initial phosphorus concentration and the solidification fraction, the volatilization coefficient of antimony in the equal-diameter stage is fitted. By means of the method, the volatilization behavior of antimony in the single crystal pulling process can be determined.

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 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 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 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 pond multi-objective optimization management method oriented to agricultural watershed non-point source pollution regulation and control, and relates to the technical field of agricultural watershed non-point source pollution abatement. Multi-dimensional attributes such as pond application types, morphological characteristics and sediment nutrient states are integrated into a unified quantitative framework for the first time, and a generalized additive model is constructed to obtain a multi-objective optimization model; nonlinearity and interaction of pond attributes on river water quality influence can be accurately captured, and the accuracy of river nitrogen and phosphorus concentration prediction is improved. According to the method, pond management measures are quantified into controllable decision variables, a multi-target dynamic optimization model for balancing environmental benefits and economic benefits is established, a Pareto optimal solution is used for replacing a traditional experience decision, a scientific, efficient and quantitatively-implemented pond management scheme is provided, the one-sidedness of a single target is avoided, and the method is suitable for large-scale popularization and application. The cost minimization is realized while the non-point source pollution reduction is maximized, and the accurate configuration and scientific quantitative decision of pond management resources are realized.

The invention provides a silicon single crystal rod resistance control method, a silicon single crystal rod, a silicon wafer and a solar cell. The control method comprises the following steps: obtaining phosphorus concentration and antimony concentration in a compound feed; obtaining the phosphorus concentration and the antimony concentration in the residual material in the crucible; calculating the concentration of phosphorus in the re-fed material and the residual material in the crucible in the total weight of the full pot at the current feeding section according to the phosphorus concentration in the re-fed material and the residual material in the crucible, and calculating the concentration of antimony in the re-fed material and the residual material in the crucible in the total weight of the full pot at the current feeding section according to the antimony concentration in the re-fed material and the residual material in the crucible; calculating phosphorus demand concentration according to the phosphorus concentration ratio, and calculating antimony demand concentration according to the antimony concentration ratio; calculating the doping amount of the phosphorus master alloy according to the phosphorus demanded concentration, the total weight of the full pot of the current feeding section and the concentration of the phosphorus master alloy, and calculating the antimony doping amount according to the antimony demanded concentration and the total weight of the full pot of the current feeding section. According to the control method provided by the invention, the doping amount of the phosphorus master alloy and the antimony can be accurately calculated, so that the accurate control on the resistance of the silicon single crystal rod is realized, and the silicon single crystal rod and the silicon wafer have excellent resistance uniformity.

The invention provides an organophosphorus mineralization composite flora with wide pH (potential of hydrogen) adaptability and application of the organophosphorus mineralization composite flora. The organophosphorus mineralization composite flora comprises subterranean bacillus subterraneus, stenotrophomonas sp and Cupriavidus sp. The organophosphorus mineralization composite flora has the advantages that the organophosphorus mineralization composite flora has wide pH adaptability, and the organophosphorus mineralization composite flora comprises the subterranean bacillus subterraneus, the stenotrophomonas sp. And the Cupriavidus sp. The organophosphorus mineralization composite flora provided by the invention can be widely used in acid-base environments; wherein the capacity of the phosphatase secreted by the three bacteria is not interfered by the external phosphorus concentration, and the phosphatase is constitutive phosphatase, so that a large amount of phosphatase can be secreted no matter which phosphorus concentration is high or low. The organophosphorus mineralization composite flora remarkably promotes mineralization of organophosphorus and release of phosphorus in the organic fertilizer, improves the nutrient efficiency of the organic fertilizer, and can play a role in mineralizing organophosphorus in both acid soil and alkaline soil.

The invention discloses a regulation and control method for preventing nitrogen and phosphorus loss of saline-alkali farmland drainage, and particularly relates to the technical field of agricultural environment protection and water and fertilizer management. Establishing a three-dimensional drainage path initial model, and calculating a drainage easy flow intensity coefficient according to the gradient and sodium saturation joint index of each micro-unit; further monitoring the change rate of nitrogen and phosphorus concentration in different areas through experimental nitrogen and phosphorus tracking irrigation to obtain a nitrogen and phosphorus migration sensitivity parameter; and performing weighted combination on the drainage easy flow intensity coefficient and the nitrogen and phosphorus migration sensitivity parameter, constructing a nitrogen and phosphorus loss risk index, forming a saline-alkali farmland nitrogen and phosphorus loss risk hot area distribution map, taking an area with the identified risk index exceeding a preset threshold value as a target area needing regulation and control, and implementing differential regulation and control measures in the target area to obtain a saline-alkali farmland nitrogen and phosphorus loss risk hot area distribution map. The method can realize accurate identification and dynamic regulation and control of the nitrogen and phosphorus loss of the saline-alkali farmland, improves the utilization efficiency of the fertilizer, reduces the risk of agricultural non-point source pollution, and has relatively strong popularization significance.

The invention discloses a phosphogypsum curing treatment method based on machine learning regulation, which comprises the following steps: adding calcium oxide, an organic dispersant and water into phosphogypsum to realize phosphogypsum curing, wherein the addition amount of the calcium oxide, the addition amount of the organic dispersing agent and the addition amount of the water are determined through the following processes: collecting parameters of a phosphogypsum leaching solution sample, including soluble phosphorus concentration, soluble fluorine concentration, pH and water content; the parameters of the phosphogypsum leachate sample are input into the machine learning model of the phosphogypsum parameters and the adding parameters, the adding parameters are output, and the adding parameters comprise the calcium oxide adding amount, the organic dispersing agent adding amount and the water adding amount. Through a machine learning model, the addition amount of calcium oxide, the addition amount of an organic dispersant and the addition amount of water can be rapidly adjusted according to specific components of different raw materials, and the adaptability is higher. According to the method, the treatment effect is improved, the experiment frequency and the human input are reduced, and excessive use of the medicament is avoided through an accurate medicament formula, so that the medicament cost is saved.

The invention relates to the technical field of gene engineering, in particular to a plant low-phosphorus-resistant important gene GsMYB10 and application thereof. Researches show that the expression of the GsMYB10 gene is induced to be up-regulated under the stress of low phosphorus, and under different phosphorus concentration treatment conditions, the over-expression of the GsMYB10 can obviously increase the biomass of a transgenic plant, so that the plant growth is promoted under the low-phosphorus condition; meanwhile, overexpression of GsMYB10 can improve the tolerance of plants to low-phosphorus stress, and reduce the inhibition effect of low phosphorus on plant root growth.

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 relates to the field of water resource analysis models, discloses a drainage basin scale phosphorus two-stage output coefficient model construction method, and aims to accurately calculate drainage basin phosphorus output load. The method comprises the following steps: firstly, obtaining watershed related data including a digital elevation model (DEM), a river network system, phosphorus load, soil, meteorology, hydrology and total phosphorus concentration data of river water; secondly, calculating a sub-basin phosphorus output coefficient SPOC and a river channel phosphorus output coefficient RPOC, and evaluating phosphorus load transmission and attenuation conditions; then, constructing a regression model, and improving the accuracy of the model through regression analysis of factors such as rainfall, terrain gradient and river network density; then, calculating a basin total phosphorus output load based on a regression model, and analyzing a spatial-temporal change trend of the basin total phosphorus output load; finally, the model is verified and optimized through measured data, model parameters are adjusted through regression analysis and cross validation, and the prediction reliability is improved. The method can effectively evaluate the phosphorus output load change of the drainage basin, and provides support for water quality management.

The invention belongs to the technical field of salt-tolerant growth-promoting bacteria, and particularly relates to a strain of Priestia aryabhattai PYJ2-8, a microbial inoculum, a preparation method and application of the strain of Priestia aryabhattai PYJ2-8. The invention provides a strain of P.adami PYJ2-8, and the preservation number of the P.adami PYJ2-8 is CGMCC (China General Microbiological Culture Collection Center) No.33769. According to the present invention, the Pristeria aryabhattai PYJ2-8 is the salt-tolerant growth promoting bacterium, can produce IAA, can decompose insoluble phosphorus, can improve the concentration of soluble phosphorus, and can increase the content of available phosphorus in soil; the utilization rate of the fertilizer can be increased, the growth and development and root development of plants can be promoted, and meanwhile, the potential capability of improving saline-alkali soil is also achieved.

The invention relates to the technical field of plant genetic engineering, and discloses application of a soybean low-phosphorus-tolerant gene GmPP2-10 in promoting growth of plants in a low-phosphorus stress environment. Researches show that the expression of the GmPP2-10 gene is increased under the induction of low phosphorus stress, and under different phosphorus concentration treatment conditions, the over-expression of the GmPP2-10 can increase the biomass of a transgenic plant and promote the growth of the plant under the low phosphorus condition; meanwhile, overexpression of GmPP2-10 can improve the tolerance of plants to low-phosphorus stress, and reduce the inhibition effect of low phosphorus on plant root growth. Therefore, the GmPP2-10 plays an important role in adapting to the low-phosphorus stress of the plant, and the adaptive capacity of the plant to the low-phosphorus stress of the acid soil can be improved by transferring the GmPP2-10 into the plant through a transgenic technology.

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 relates to application and a method of phosphorus adsorption resin for selectively adsorbing phosphorus from phosphorus-containing wastewater. The phosphorus adsorption resin comprises weak acid cation exchange resin and Fe < 3 + > loaded on the surface of the weak acid cation exchange resin; the pH value of the phosphorus-containing wastewater is 0.8-3.0, the phosphorus concentration is 0.1-5 g / L, and the wastewater further contains 0.1-1 g / L of Ca; the phosphorus adsorption resin is prepared by the following steps: i) carrying out contact reaction on weak acid cation exchange resin and a ferric salt solution, wherein the ferric salt is selected from one or more of ferric sulfate, ferric chloride, ferric nitrate, ferric citrate and ferric tartrate; and ii) after the reaction is completed, carrying out solid-liquid separation to obtain the Fe < 3 + >-loaded phosphorus adsorption resin. According to the method, high-selectivity adsorption (larger than or equal to 95%) of phosphorus can be achieved, the phosphorus and calcium separation effect is good, the iron-calcium ratio in the phosphorus-enriched strip liquor is larger than or equal to 800, and the method can be used for preparing battery-grade iron phosphate.

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.

Various embodiments relate to methods and systems for removing phosphorus and / or nitrogen from water. A method of removing phosphorus and nitrogen from water includes passing starting material water including nitrogen and phosphorus through an elevated pH phosphorus removal stage. The method includes passing the water through an electrolytic nitrogen removal stage. The method includes passing the water through a galvanic phosphorus removal stage. The water produced by the method has a lower phosphorus concentration and a lower nitrogen concentration than the starting material water.

The invention discloses a lake water quality prediction method and system based on a hybrid neural network, and a computer readable storage medium, and belongs to the field of environmental science engineering and deep learning. The method comprises the following steps: screening original water quality data, removing abnormal values, performing linear interpolation, dividing a training set and a test set, decomposing a sequence by using VMD, optimizing VMD parameters by using PSO, reconstructing a new sequence with noise removed, and finally performing prediction by using LSTM-KAN. Through verification of total phosphorus concentration data of four sections of the Dian Lake, comparison with LSTM, VMD-LSTM, VMD-LSTM-KAN and LSTM-KAN models is carried out, and a correlation coefficient (), a mean absolute error (MAE) and a root-mean-square error (RMSE) are selected to evaluate precision. The result shows that the PVLK model has the best performance in single-step and multi-step prediction, the total phosphorus concentration prediction of each section can be kept at 0.75 in 10-step prediction with the step length of 4 hours, the applicability to time sequence data containing abnormal values and high sampling frequency is good, and efficient prediction of lake water quality is effectively promoted.

The invention discloses a rice irrigation area nitrogen and phosphorus reduction process simulation method and system. The method comprises the following steps: respectively calculating irrigation nitrogen and phosphorus concentration and field surface water nitrogen concentration of a current round of a rice irrigation area according to meteorological data, field management data and water quality monitoring data; determining the concentration of pollutants carried by surface runoff and underground leaching load according to the nitrogen concentration of the field surface water; calculating the migration attenuation of the nitrogen and phosphorus concentration in the ditch based on preset ditch parameters and the concentration of pollutants carried by the surface runoff to obtain the ditch outlet concentration; calculating the pond purification concentration based on preset pond parameters and the ditch outlet concentration; and calculating the recharge water phosphorus concentration according to the pond purification concentration and the recharge proportion, and updating the irrigation water phosphorus concentration of the next round in the rice irrigation area according to the recharge water phosphorus concentration to finish the reduction process simulation of nitrogen and phosphorus in the rice irrigation area. The method can be used for quickly and accurately simulating the nitrogen and phosphorus reduction process and discharge load of each part of the paddy irrigation area from field to ditch to pond.

The invention relates to the technical field of plant genetic engineering, and discloses a plant low-phosphorus-resistant important gene GsMYB7 and application thereof. According to the invention, an MYB family GsMYB7 gene is cloned in soybean for the first time. Researches show that the expression of the GsMYB7 gene is increased under the induction of low phosphorus stress, and under different phosphorus concentration treatment conditions, the overexpression GsMYB7 can obviously increase the biomass of transgenic plants and promote the growth of the plants under the low phosphorus condition; meanwhile, overexpression of GsMYB7 can improve the tolerance of plants to low-phosphorus stress, and reduce the inhibition effect of low phosphorus on plant root growth. Therefore, the GsMYB7 plays an important role in adapting to the low-phosphorus stress of the plant, and the adaptive capacity of the plant to the low-phosphorus stress of the acid soil can be improved through a transgenic technology.

The invention discloses application of a GmPG39 gene in regulation and control of soybean growth and phosphorus efficiency. Researches find that the GmPG39 gene participates in soybean root system cell wall remodeling, the protein of the GmPG39 gene is expressed in a plant cell wall, is regulated and controlled by phosphorus in a root system, and responds to low-phosphorus stress to realize up-regulated expression in a main root segment. The over-expression of the GmPG39 can increase the activity of polygalacturonase, reduce the pectin content of cell walls in hair roots, aggravate the decomposition of the cell walls under the stress of low phosphorus, and promote the relaxation of the cell walls. Meanwhile, the GmPG39 gene positively regulates soybean growth and phosphorus efficiency, under the normal phosphorus condition, overexpression of the GmPG39 gene can remarkably promote growth of soybean in-vitro hair roots, increase fresh weight and total root length of the hair roots, improve total phosphorus content and soluble phosphorus concentration and regulate phosphorus absorption efficiency of the soybeans, and the GmPG39 gene has a significant effect on promoting soybean root growth and improving phosphorus absorption efficiency of the soybeans. The method plays an important role in improving soybean root system phosphorus absorption efficiency.

The invention relates to the technical field of organic fertilizer detection, and discloses a method for continuously detecting nitrogen and phosphorus in an organic fertilizer. The method comprises the following steps: acquiring an organic fertilizer sample to be detected, and crushing, homogenizing and filtering the sample through a pretreatment device to obtain a standard detection solution; introducing the standard detection liquid into a trace detection channel, and respectively determining absorbance values of the characteristic wavelength of the nitrogen element and the characteristic wavelength of the phosphorus element by adopting a spectral absorption method; generating an initial detection data set based on the absorbance value, and performing time sequence alignment processing on nitrogen element data and phosphorus element data in the set to form a synchronous detection data sequence; according to the synchronous detection data sequence, a standard curve database is called to match nitrogen and phosphorus concentration conversion parameters in the current detection environment, and a preliminary concentration calculation result is generated; environment temperature and humidity, reagent batches and equipment loss data in the historical detection records are extracted to serve as compensation coefficient input, and corrected nitrogen and phosphorus concentration values are output.

The invention provides a Z-type heterojunction material for synchronously removing phosphorus and tetracycline in sewage. The material is composed of a hexagonal flaky nano magnesium-aluminum-iron hydrotalcite matrix with the size of 30-100 nm and a metal oxide growing on the surface. The preparation method of the material comprises the following steps: carrying out hydrothermal treatment on magnesium-aluminum-iron hydrotalcite and trimesic acid in N-N dimethylformamide liquid, growing a metal organic framework compound on the surface of the magnesium-aluminum-iron hydrotalcite in situ through dissolved-out metal ions and trimesic acid, and roasting the metal organic framework compound to obtain the Z-type heterojunction material. The Z-type heterojunction material can synchronously and efficiently remove phosphorus and tetracycline in sewage, the synchronous removal rates of 50 mg of the material to phosphorus and tetracycline are 97.60% and 95.47% respectively in 100 mL of a phosphorus (concentration of 25 mg / L) water sample and a tetracycline (concentration of 50 mg / L) water sample, and the synchronous removal rates of phosphorus and tetracycline are still 87.62% and 85.57% after continuous circulation for five times. The Z-type heterojunction material can be applied to the aspect of phosphorus and tetracycline mixed sewage treatment in the breeding industry.

The present invention discloses a quantitative control method for submerged plants in urban rivers and lakes based on plant growth and decline-nitrogen and phosphorus absorption and release simulation. First, the minimum monitoring grids are selected by combining remote sensing interpretation and spatial simulated annealing algorithm; then, a sample plot survey is carried out in the selected monitoring grids, and the biomass and growth rate per unit area of ​​submerged plants are obtained by using the efficacy analysis method with the minimum sampling frequency; then, the dominant species are selected and brought back to the laboratory to monitor the parameters required for the submerged plant model, and a submerged plant growth and decline-nitrogen and phosphorus absorption and release model is constructed to simulate the dynamic change process of biomass and net nitrogen and phosphorus content in plants; then, the submerged plant model is coupled to the river and lake hydrodynamic-water quality model to simulate the dynamic change process of nitrogen and phosphorus concentration in urban rivers and lakes where submerged plants grow. Finally, different submerged plant harvesting scenarios are set, the accessibility of nitrogen and phosphorus water quality targets in urban rivers and lakes is analyzed, and the optimal harvesting plan for submerged plants is determined. The present invention can realize quantitative, efficient and precise control of submerged plants in urban rivers and lakes.

The invention discloses a wetland ecological restoration method combined with water ecological restoration monitoring, and relates to the technical field of ecological restoration. The method comprises the following steps: acquiring water depths, nitrogen and phosphorus concentrations, dissolved oxygen and biodiversity indexes of a deep water area, a shallow water area and a coastal zone of a wetland through a sensor network, and generating an initial data set; dividing a wetland region by adopting a K-means clustering algorithm, and constructing a classification region feature model; based on the nitrogen and phosphorus concentration and the water depth of each region, configuring plant species, simulating a water flow gallery and optimizing the pollutant removal efficiency; integrating coastal zone data, optimizing the external pollution interception efficiency by using a genetic algorithm, and obtaining an optimal matching parameter; generating a collaborative ecological restoration framework by iteratively adjusting plant parameters, and establishing a comprehensive numerical evaluation model; and a management data set is generated according to an evaluation result, and quantitative optimization of the wetland ecological restoration effect is realized. According to the method, the pollutant removal efficiency can be effectively improved, and collaborative recovery of ecological functions can be ensured.

The invention relates to the technical field of sewage treatment plant chemical phosphorus removal agent accurate adding scheme design, in particular to a sewage treatment plant chemical phosphorus removal agent accurate adding method and system and electronic equipment. Phosphorus concentration, flow and COD data are collected in real time through an online sensor, and preprocessing is conducted through sliding window anomaly detection and data interpolation. And the LSTM network and sliding time window online learning are combined to dynamically predict the phosphorus load within 5-30 minutes, and the error is less than or equal to + / -10%. Based on an enhanced constrained PSO algorithm, the dosage is dynamically optimized, and meanwhile, NSGA-II multi-objective optimization is coupled, so that the medicament cost and carbon emission are balanced. Incremental PID feedback control is introduced, the adding deviation is smaller than or equal to 0.1 mg / L, and the influence of key variables on decision making is strengthened through a dynamic weight adjusting mechanism. The system supports cloud-side cooperation, the response time is less than or equal to 5 minutes, the system is suitable for different scales of treatment plants, and the operation cost is greatly reduced while the effluent is ensured to reach the standard.

This application discloses a real-time control method, device, equipment, and medium for micro-nano air flotation phosphorus removal based on a neural network model, relating to the field of computer technology. It includes: real-time acquisition of operational data through a preset sensor network, and preprocessing the operational data to obtain target data; generating a recommended PAC dosage value based on influent phosphorus concentration, water turbidity, and historical phosphorus removal rate using a first preset neural network model, and dynamically correcting the recommended PAC dosage value based on potential data using a second preset neural network model to obtain the target PAC dosage; optimizing the dissolved air pressure based on the target PAC dosage, influent phosphorus concentration, water turbidity, historical phosphorus removal rate, and post-coagulation parameters using a third preset neural network model to achieve real-time control of micro-nano air flotation phosphorus removal. This enables real-time, adaptive, and intelligent optimization and control of operating parameters during the micro-nano air flotation phosphorus removal process.

The application discloses a method and a device for monitoring effluent orthophosphate concentration and resisting analyzer deviation, and relates to the technical field of sewage treatment. In the method, the monitoring device firstly constructs a state space vector according to operation parameters in a sewage phosphorus removal process, and then constructs a dynamic Markov random field model by taking a true value of effluent orthophosphate concentration as a hidden state variable and the state space vector as an observation variable. After predicting a prior probability distribution based on the model and a historical sequence, when the measurement value of the analyzer is lower than a precision threshold value, the prior probability distribution and the observation value are fused by using a Kalman filtering algorithm to obtain a calibrated concentration value and output the calibrated concentration value to a control system to guide reagent adjustment. In this way, the accuracy and reliability of detection of the effluent orthophosphate concentration are improved when the orthophosphate concentration in the effluent water sample is extremely low.