29 results about "Analysis water" patented technology

This invention discloses a device and method for the propagation, release, and rewilding training of large yellow croaker fry, relating to the field of marine biological resource conservation technology. The device includes: a water tank containing water, with multiple artificial reefs placed inside; a light source positioned above the water tank; multiple wave-making pumps evenly distributed along one side of the inner wall of the water tank; a release structure for releasing predator pheromones into the water tank; a camera mounted on the inner wall of the water tank; and a controller electrically connected to the camera, light source, and wave-making pumps. The camera collects behavioral characteristic information of the large yellow croaker during rewilding training and sends this information to the controller. A fish behavior analysis system comprehensively analyzes the swimming and reef usage of the large yellow croaker fry in the water tank to determine the effectiveness of the rewilding training. The advantages of this invention are enhanced ability of large yellow croaker fry to adapt to the marine environment and improved survival rate of released fry.

A method for increasing the concentration of pathogens in a water sample, wherein the method comprises: providing a water sample in a concentration deposit; performing concentration steps comprising: filtering water from the concentration deposit, the filtering step comprising circulating water from the concentration deposit through a tangential flow filter to obtain a permeate of filtered water and a retentate of concentrated water and circulating the retentate back to the concentration deposit and the permeate to a filtered water deposit; backflushing the tangential flow filter by circulating filtered water from the filtered water deposit through the tangential flow filter in a backflushing direction to remove pathogens from the tangential flow filter; and recovering the water from the concentration deposit as a concentrated water sample.

We provide the system. [Solution] A means for collecting behavioral and environmental data of aquatic organisms, A means of preprocessing collected data to generate an integrated dataset, A means for executing an AI algorithm that analyzes the behavioral patterns of aquatic organisms using an integrated dataset, A means for generating environmentally friendly fishing guidelines based on analysis results, A means of distributing the generated guidelines to the user's terminal, A system that includes this.

The invention discloses a prawn culture environment adaptive adjustment method and system, and relates to the technical field of aquaculture automation control. The self-adaptive adjustment method for the prawn culture environment comprises the following steps: synchronously acquiring a preset historical cooperative control time sequence data set of a temperature control device and an oxygenation device in a prawn culture water body on the basis of a set time period; inputting into a pre-trained collaborative analysis model, and extracting a control coefficient set; obtaining current values of the water temperature and the dissolved oxygen concentration in the shrimp culture water body and preset target values, and analyzing a temperature cooperative control quantity and an oxygenation cooperative control quantity in combination with the control coefficient set; according to the temperature cooperative control quantity and the oxygenation cooperative control quantity, the preset temperature control device and the oxygenation device are driven to conduct adjustment treatment on the prawn aquaculture water, the coupling relation between the water temperature and the dissolved oxygen is analyzed, the cooperative control quantity is calculated based on the coupling relation, the problem of equipment action conflict caused by traditional single-parameter independent control is solved, and the control accuracy is improved. And efficient self-adaptive regulation and control are realized.

This invention discloses a method for identifying water invasion in water-driven gas reservoirs considering water-sealed gas. The method includes collecting dynamic production data from single wells in the water-driven gas reservoir and the basic parameters required for calculation; preprocessing the collected dynamic production data and basic parameters to calculate the coefficients of the production capacity equation and obtain parameter fitting formulas; establishing a physical model of the water-driven gas reservoir considering water-sealed gas; establishing and deriving an improved material balance equation for the water-driven gas reservoir considering water-sealed gas, introducing the sealing effect coefficient and water invasion coefficient, and deriving the formation apparent pressure expression considering water-sealed gas; analyzing the fitting results of the comprehensive curve of water drive characteristics, and calculating the water invasion amount and water-sealed gas amount. Based on dynamic production data, this invention establishes an improved material balance equation considering water-sealed gas. The calculation method is simple and fast, achieving quantitative characterization and qualitative identification of water invasion throughout the entire process, avoiding the time lag problem caused by relying on chloride monitoring, and improving the accuracy of water invasion characteristic identification.

The application discloses a kind of precision feeding systems and methods based on machine vision, system includes image acquisition module, image processing module, satiation degree evaluation module, automatic feeding machine and control module;Image acquisition module is used to collect the water surface water image of fish pond in real time;Image processing module is signal connected with image acquisition module, and the water surface water image of real-time collection is segmented using convolutional neural network, feature extraction is carried out, and the water feature of water surface water image is obtained Water feature includes the size and duration of water flower;And the water feature before feeding, feeding, after feeding is stored in feeding water image database;Satiation degree evaluation module is based on satiation degree evaluation model, and the feeding activity and satiation degree of fish population are evaluated according to feeding water feature.The invention adjusts feeding speed according to the collection and analysis of water surface water feature, so that the feeding speed is coordinated with the feeding speed, precision feeding is realized, and the generation of residual bait is reduced.

This invention relates to the fields of sol-gel process simulation and molecular dynamics, specifically a method for simulating the initial stage of TEOS hydrolysis based on ReaxFF molecular dynamics. It aims to address the problem that existing experimental techniques are insufficient to capture and analyze the dynamic processes of the initial stage of TEOS hydrolysis at the atomic scale. The method includes: constructing an initial amorphous model containing TEOS, ethanol, water, and citric acid using Packmol software, wherein the molecular ratio of TEOS, ethanol, and water is 1:(4~6):(6~8), and the initial density of the system is 200~250 kg / m³. 3 The model was structurally optimized and relaxed; ReaxFF force fields were used to perform molecular dynamics simulations of the reaction under at least two temperature conditions in the range of 298K to 700K; the bonding information, species information and thermodynamic quantities in the trajectory file were output and analyzed, covering reactant consumption, evolution of key chemical bonds and evolution of hydrolysis intermediates; the influence of temperature on the initial stage of hydrolysis and the range of optimal reaction conditions were determined based on the analysis results.

The invention discloses a CFD-based culture pond sewage collection and discharge efficiency prediction method, which comprises the following steps: constructing a culture pond three-dimensional model, and determining geometric parameters and installation positions of a pond type structure, a water inlet structure and a sewage collection device; carrying out computational domain extraction on the three-dimensional model of the culture pond, and carrying out overall grid division and boundary layer grid division; setting flow field solving parameters and boundary conditions processed before calculation; defining release sources and physical parameters of different types of pollution particles in the culture pond; based on the interaction between the water flow and the pollution particles, two-phase flow coupling solving is carried out; defining a monitoring line and a monitoring surface, and analyzing hydrodynamic characteristics and a gathering rule of pollution particles; and quantitatively analyzing an influence mechanism of factors such as a flow field evaluation index on the sewage collection and discharge efficiency of the culture pond.

The present invention is directed to a method for rapid analysis aqueous analytes, such as water contaminants, by concentrating analytes on solid adsorbents and then detecting using mass spectrometric analysis via desorption ionization of the contaminant directly from the adsorbent surface. The contaminant may be PFAS. This general approach was demonstrated via indirect solution analysis (ISA) with desorption electrospray ionization (ISA-DESI) and laser desorption ionization (ISA-LDI). These method can use various adsorbent materials, including commercial porous carbons, activated alumina, and metal-organic frame-works (MOFs). As an example, perfluorooctanoic acid (PFOA) was rapidly detected in under five minutes from solutions with PFOA concentrations in the parts-per-trillion (ppt) range. The advantages of this ISA are that sample preparation and analysis are greatly simplified and accelerated relative to conventional methods, the method can maintain extremely low detection limits compared to conventional analysis, and it can be performed with low-cost, readily available materials.

The embodiment of the invention relates to a water physical property determination method and device, equipment and a medium. The method comprises the steps that the pressure and initial physical property data of water to be analyzed are obtained; wherein the initial physical property data comprises one of initial internal energy, initial enthalpy and initial entropy; determining a candidate physical property interval corresponding to the candidate thermodynamic partition according to a partition boundary function in the pressure and water physical property function, and determining the candidate physical property interval where the initial physical property data is located as a target physical property interval; determining an interval boundary temperature corresponding to an interval endpoint of the target physical property interval, and determining an initial prediction temperature according to the interval boundary temperature; according to the pressure, the initial prediction temperature, the interval boundary temperature and a physical property calculation function in the water physical property function, physical property iterative calculation based on the temperature is carried out, and expanded physical property data of the to-be-analyzed water is obtained. According to the embodiment of the invention, relatively high calculation precision of the water physical property is realized, and relatively good numerical value continuity is achieved.

1. The name of the design product: water quality biological toxicity on-line analyzer. 2. The use of the design product: through the change of photosynthetic activity state of the test algal cells to analyze whether there is toxic substance in the water. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

A system for analyzing the water quality of a water sample is provided. The system includes an inlet designed to deliver the water sample to a photometric analyzer, a chemical reagent system downstream of the inlet and upstream of the photometric analyzer, and a controller. The chemical reagent system is designed to inject one or more reagents into the water sample. The photometric analyzer comprises a vial designed to contain the water sample, at least one light source designed to emit light toward a first side of the vial, and at least one light detector designed to detect the emitted light on a second side of the vial. The controller is configured to adjust a dosage of the one or more reagents injected into the water sample, receive data from the at least one light detector, and analyze the water quality of the water sample based on the received data.

The utility model relates to a wall-mounted water quality analyzer, and belongs to the technical field of water quality detection and analysis. The wall-mounted water quality analyzer comprises: a water quality analysis device body for detecting and analyzing a target liquid, the water quality analysis device body comprising a housing; the first mounting part is connected with the shell, and the first mounting part is configured to be mounted in a manner of being matched with a second mounting part at a target position, so that the water quality analysis device body is mounted at the target position; wherein the first mounting piece comprises a first connecting part connected with the shell, a first bending part which is connected with the first connecting part and is bent towards one side far away from the shell, and a first mounting part connected with the first bending part, and a first mounting space is formed between the first mounting part and the shell and is used for accommodating at least part of the second mounting piece; and the first mounting piece and the second mounting piece are clamped. Through the mode, the installation convenience of the water quality analyzer can be improved, and the installation and deployment cost of the water quality analyzer is reduced.

The invention relates to a method for quantifying the particle capturing and bonding capacity of a microbial mat influenced by hydrodynamic force. The method comprises the following steps: culturing the microbial mat meeting experimental conditions according to physical and chemical conditions of a water body at a sampling point; the method comprises the following steps: taking a plurality of microbial mats meeting experimental conditions, carrying out multiple groups of capture experiments according to different wind speed conditions, measuring the weight of particles captured by the microbial mats for each group of capture experiments, continuously culturing the microbial mats after capturing the particles, and measuring the weight of the particles adhered to the microbial mats after the capture experiments are finished; the method comprises the following steps: taking a plurality of microbial mats meeting experimental conditions, sterilizing and cleaning, carrying out a plurality of groups of blank experiments according to different wind speed conditions, measuring the weight of particles captured by the microbial mats according to each group of blank experiments, and continuously culturing the microbial mats after capturing the particles, after the blank experiment is finished, measuring the weight of particles adhered to the microorganism mat; by comparing the measurement results of the capture experiment and the blank experiment, determining the weight ratio of the particles captured and bonded by the microbial mat under different wind speed conditions, and analyzing the influence of the hydrodynamic force on the particle capturing and bonding capability of the microbial mat based on the weight ratio.

The invention belongs to the technical field of environmental engineering, and provides an application evaluation method and system for a water treatment agent under a complex water quality condition, and the method comprises the steps: analyzing the components of the water treatment agent, and matching water quality parameters to classify the water treatment agent; the relative closeness degree of each water treatment agent and the ideal solution is obtained, and multiple experiments are carried out to evaluate the performance of the water treatment agent under the complex water quality. Components, functions and water quality conditions are comprehensively considered, a TOPSIS method is used for sorting water treatment agents, the water treatment agent most suitable for specific water quality is selected, and the best treatment effect is ensured; according to the method, the types, doses and process parameters of the agents can be accurately determined, efficient and stable treatment is guaranteed, the cost is reduced, secondary pollution is avoided, meanwhile, the heat energy transmission efficiency can be improved, the consumption of fuel or electric power can be reduced by applying the water treatment agent selected after evaluation, the operation cost is further reduced, and meanwhile, the environmental protection requirements of energy conservation and emission reduction are met.

This invention discloses a method for analyzing the gas-water distribution characteristics corresponding to water intrusion dynamics based on micro-CT, comprising: S1, preparing interlayered full-diameter cores; S2, placing the interlayered full-diameter cores on a gas reservoir water intrusion experimental device, establishing a bound water state, and performing CT scanning on the interlayered full-diameter cores after depressurization to obtain the first scan data; S3, re-establishing the bound water state, establishing formation pressure, and achieving water intrusion attenuation by reducing back pressure through pump withdrawal, attenuating to the abandonment pressure at an attenuation rate; after attenuation, performing CT scanning on the interlayered full-diameter cores to obtain the second scan data; S4, comprehensively analyzing the gas-water distribution characteristics. This invention selects real cores to prepare interlayered cores and combines them with CT images of the reservoir before and after water intrusion to obtain the gas-water distribution in the pores of the rock sample. It can also analyze the influence of different core permeability, different water body sizes, and different attenuation rates on water intrusion characteristics, thereby obtaining the gas-water distribution characteristics.

This invention discloses a water pollution monitoring system and method, relating to the field of water pollution monitoring. The system includes a region division and sampling point layout module, a deviation analysis module, a first monitoring area analysis module, and a second monitoring area analysis module. The region division and sampling point layout module analyzes the pollution source characteristics of the area to be monitored to rationally divide the monitoring area and deploy sampling points. The deviation analysis module performs deviation analysis on data from adjacent sampling points after collecting water samples to ensure data accuracy and consistency. The first monitoring area analysis module combines water quality fluorescence fingerprint analysis technology to match and trace known pollution sources, accurately identifying their locations. The second monitoring area analysis module analyzes the water sample flow path to gradually confirm the specific location of the pollution source.

The invention relates to a river and lake health situation assessment method and device, a storage medium and electronic equipment, and relates to the technical field of data processing, and the method comprises the steps: obtaining the actual monitoring data of a plurality of target evaluation indexes of a to-be-analyzed water body region; if the actual monitoring data is not in the corresponding threshold range, determining the corresponding target evaluation index as an abnormal evaluation index, and evaluating the health situation of the to-be-analyzed water body area according to at least one abnormal evaluation index to obtain an initial evaluation result; obtaining at least one associated water body region adjacent to the to-be-analyzed water body region, and optimizing the initial evaluation result according to reference monitoring data of monitoring indexes of each evaluation dimension in the associated water body region to obtain a target evaluation result; and if the target evaluation result is greater than a preset early warning threshold value, sending early warning information of situation abnormality for the to-be-analyzed water body area. The method has the effect of improving the river and lake health situation assessment accuracy.

The present application relates to the technical field of water resources management, in particular to a kind of water well recharge suitability assessment method and system based on multidimensional detection and comprehensive index model, comprising the following steps: screening geological data to construct initial screening qualified water well set, scanning well shaft to identify damage and corrosion to obtain structural integrity data, carrying out ladder pressure test to analyze aquifer receiving capacity, analyzing water chemistry and suspended solids to assess plugging risk, combining environmental sensitivity to calculate weighted sum, dividing recommended category and establishing recharge suitability assessment list.In the present application, deep damage and corrosion conditions are identified by scanning water well wall and filter pipe throughout the section, deformation parts are accurately positioned to quantify structural integrity, water level response is monitored by using ladder pressure recharge test, aquifer permeability is calculated by inversion and real unit recharge is obtained, to ensure that screened well site has pressure-bearing structure stability and water quality chemical compatibility, effectively prolongs the service life of recharge project and protects groundwater ecological safety.

1. Name of the designed product: LED multi-parameter detector (W101 series). 2. Use of the designed product: an instrument for measuring and analyzing various physical, chemical and biological parameters in water. 3. Design points of the designed product: in shape. 4. Picture or photo that best indicates the design points: perspective view.

The invention relates to the technical field of water body detection and analysis, in particular to an on-line detection system and method for bisphenol A in a water body, aiming at the characteristic that the chemical property of bisphenol A is obviously influenced by the pH value of the water body, the current pH value of the water body is detected on line, the state of bisphenol A in the current water body is determined, and if the bisphenol A is in a bisphenol A coexistence state, the bisphenol A in the water body is detected. If yes, the coupling correlation degree between the pH detection value of the water body and the bisphenol A ion proportion is analyzed, whether the problem is the detection precision problem of online detection equipment or the bisphenol A concentration detection problem influenced by the pH of the water body is distinguished, if the problem is the detection precision problem of the online detection equipment, parameter setting of the online detection equipment can be optimized in a targeted mode, and the detection accuracy of the bisphenol A concentration is improved. And the method can be used as reference data for predicting the state and concentration change trend of the bisphenol A, and can be used for predicting the optimal opportunity for online detection of the bisphenol A in the water body.

This invention discloses a method for detecting extreme hydrological events in a watershed and determining changes in hydrodynamic conditions, belonging to the field of water conservancy engineering technology. The specific steps include: S1, calculating the annual runoff distribution difference coefficient and characteristic flow process; S2, screening extreme flood and extreme drought events, i.e., extreme flood condition: selecting the annual maximum flow Q from the historical sequence. max The first 1% quantile value; extreme drought conditions: selecting the minimum value of the runoff distribution difference coefficient λ to characterize the minimal difference in water volume between the flood season and the non-flood season; S3, determining typical hydrological events by analyzing the relationship between characteristic flow and annual average flow; S4, analyzing the water depth-flow relationship and classifying extreme flood types; S5, deriving the physical formula of the water depth-flow relationship; S6, analyzing and verifying the differences in hydrodynamic conditions for extreme floods. This invention can solve the problems of insufficient sensitivity of traditional methods to short-duration extreme hydrological events and the lack of quantitative analysis of hydrodynamic mechanisms under extreme events.

The invention relates to the technical field of intelligent decision, and discloses a method for detecting drug residues in a water sample, which comprises the following steps: selecting the number of water quality sensors based on the volume of a water area and the detection length of the water quality sensors, and collecting sensor signals of the water area by using the water quality sensors; analyzing a drug residue index of the water area from the sensor signal, and analyzing a drug residue grade corresponding to the drug residue index through a drug analysis model; selecting a water quality sampling point from the water area; outputting a drug detection result corresponding to the historical sample through the drug detection instrument under the action of the historical instrument parameters, and performing parameter adjustment on the historical instrument parameters through the drug detection result to obtain adjusted instrument parameters; inputting the pretreated sample into a drug detection instrument, outputting the drug residue corresponding to the pretreated sample through the drug detection instrument under the action of adjusting instrument parameters, and constructing a drug curve graph of the drug residue. The representativeness of the drug residue level in the water area can be improved.

Nitrate is a major water pollutant with significant environmental and human health effects. Current field-deployable nitrate sensors are expensive, limiting monitoring and management efforts. The instant disclosure provides low-cost, field-deployable apparatuses, systems, and methods for analyzing water samples to improve pollution and analyte monitoring leading to enhanced watershed management.

The invention relates to the technical field of water quality analysis, in particular to a cloud big data processing method of a water quality analysis platform. The specific implementation process comprises the following steps: calling a photoelectric sensor group to collect an original water quality signal, performing timestamp mapping on the signal and a geographic space grid, and packaging the signal and the geographic space grid into a water quality information body; resolving a reaction kinetics constraint relationship through a stoichiometric consistency logic gate, repairing data holes by utilizing Kriging space interpolation, and integrating into a water quality analysis set; calculating a nonlinear coupling coefficient between the physical and chemical factors and the environmental flux, constructing a water quality coupling matrix, and generating a water quality ecological tensor through a stoichiometric self-encoding mechanism; and analyzing water quality chemical components based on pedigree homology, and inverting a physicochemical index trajectory by using a time sequence evolution prediction model. By introducing chemical mechanism constraint and environment coupling analysis, the islanding effect of single monitoring data is broken, and rapid analysis, accurate traceability and dynamic trend prediction of water quality data are realized.

The invention relates to the field of water resource management, and particularly discloses a water-carbon-ecology coupling coordination analysis method and a prediction system. The method comprises the following steps: determining evaluation indexes of a water resource system, a carbon emission system and an ecological system, obtaining water resource data, carbon emission data and ecological resource data, establishing an index evaluation system of each associated system, determining the weight of the index system of each associated system, and determining the weight of the index system of each associated system; and analyzing the coupling coordination degree of the water resource-carbon emission-ecosystem association system, and analyzing the coordination degree of the development of the water resource system, the carbon emission system and the ecosystem by using a WCENI index model and an ARIMA-SVM-GM model.

The invention discloses a corrosion and scale inhibition and sterilization intelligent control system for a chemical circulating water system, and belongs to the technical field of chemical circulating water treatment. The system comprises an online water quality monitoring sensor, a circulating water flow sensor, a control unit, a variable-frequency dosing pump and a medicament storage unit which are arranged on a circulating water main pipeline, the online water quality monitoring sensor detects the pH value, hardness, conductivity and residual chlorine parameters of circulating water in real time, the control unit receives data of the sensor and analyzes the water quality trend through a built-in algorithm, the variable-frequency dosing pump is controlled to accurately add chemicals from the dosing tank, and meanwhile the dosing frequency is automatically adjusted according to the flow of the circulating water. And the dosing tank is provided with a liquid level sensor to monitor the residual amount of the medicament. The system realizes automatic monitoring of circulating water quality and accurate dosing, effectively maintains water quality stability, reduces medicament consumption, and guarantees safe and stable operation of the system.

The invention discloses a fishpond water environment anomaly detection and automatic alarm method and system, relates to the technical field of water environment detection, and overcomes the limitation of false alarm and missing alarm of a single sensor by simultaneously collecting and analyzing water physical and chemical parameters, fish motion videos and environment audios. The accuracy and the reliability of abnormity judgment are greatly improved; the dynamic abnormal degree of water quality parameters is quantified by calculating a'water symptom index ', and a'biological stress index' is calculated and fused with fish behavior abnormal characteristics, so that the transformation from'alarm after exceeding 'to'trend abnormal early warning' is realized, and precious advance is gained for intervention measures; according to the method, a grading alarm strategy is automatically executed according to the abnormal grade, the closed-loop automatic management from monitoring, judgment to primary treatment is realized from sending of an early warning notification and automatic starting of the aerator to triggering of a field sound-light alarm, and the refinement level and emergency response efficiency of fishpond management are improved.

The utility model relates to the technical field of river basin ecological monitoring, and discloses an intelligent monitoring device for water quality of an inland lake river basin, which is characterized in that a connecting pipe for connection is fixedly mounted at the side end of a mounting seat, and a floating ring for providing buoyancy is movably mounted at the other end of the connecting pipe; fixing columns used for supporting are arranged on the two sides of the upper surface of the mounting base, a main control screen used for control is movably mounted between the two fixing columns, a probe used for detection is movably mounted at the lower end of the mounting base, and the detection module is fixed through a limiting assembly; through cooperative work of the biological detection module, the spectrum fingerprint detection module and the isotope detection module, the lake water quality can be detected from multiple dimensions such as microorganisms, spectrum characteristics and isotopes, the types and the number of microorganisms in lake water can be detected, water quality components can be analyzed, and compared with a single detection mode, the detection efficiency is improved. The comprehensiveness and accuracy of water quality monitoring are greatly improved, and richer and more reliable data support is provided for inland lake water quality evaluation.