123 results about "Water chemistry" patented technology

Systems and methods of separating multiphase flows in a flowline of a downhole fluid sampling and analysis tool, measuring target ions in the water phase, and separating between formation water and injection water are described. The system to separate the multiphase flows includes a three-dimensional barrier permeable to water and repelling oil and / or drilling mud filtrate into at least one bypass channel within the flowline of the downhole fluid sampling and analysis tool. For instance, the system to measure the targeted ions includes the system to separate the multiphase flows and an optical sensor, wherein the three-dimensional barrier has an aperture inside the three-dimensional barrier to let a light from an optical sensor go through perpendicular to the flowline.

The invention provides a multi-source constraint reverse modeling method and system for ancient lake water chemical condition evolution, and relates to the technical field of mineral resource exploration, and the method comprises the steps: rock core element scanning, ore-bearing section XRD analysis, and obtaining of ancient lake water ion composition; judging the water chemical type of the ancient lake based on the water ion composition of the ancient lake, and determining the basic evolution path of the water chemical condition; measuring carbon, oxygen and sulfur isotopes, and analyzing isotope fractionation characteristics and control factors; a multiphase fluid mixing model is defined, a Monte Carlo algorithm is adopted to solve the mixing proportion, and reaction network initialization is carried out; dividing time steps of fresh water injection, evaporation concentration, salt precipitation critical periods and the like, carrying out dynamic simulation calculation, constructing a loss function between actual measurement and simulation results, carrying out back propagation correction by adopting an Adam optimizer, and verifying and optimizing the simulation results. The method has good applicability to the numerical simulation of the chemical condition evolution process of the ancient lake water.

The embodiment of the invention discloses a seawater chemical oxygen demand solution standard substance and a preparation method thereof, and belongs to the technical field of standard substances. The method comprises the following steps: dissolving phenol in a proper amount of simulated seawater, transferring into a 1000mL volumetric flask, fixing the volume to a scale by using the simulated seawater, and uniformly shaking to prepare the seawater chemical oxygen demand solution standard substance with the concentration range of 5-500mg / L. According to the invention, high-purity phenol is taken as a solute, simulated seawater is taken as a solvent, and the seawater chemical oxygen demand solution standard substance with good stability is prepared. The validity period of the seawater chemical oxygen demand solution standard substance provided by the invention is as long as 2 years. The value setting mode of the seawater chemical oxygen demand solution standard substance provided by the invention is accurate and reliable, and is not influenced by experimental conditions and the like.

The invention discloses an ISCSO-KELM-based mine water inrush source accurate identification method and system, relates to the technical field of coal mine safety, and takes water chemical indexes as input of a KELM model. On the basis of chaotic mapping initialization, a mutualism strategy and a Levy flight strategy are introduced. And finally, performing automatic optimization on two key parameters, namely a kernel function parameter and a regularization coefficient of the KELM by using an ISCSO algorithm, and establishing a discrimination model based on ISCSO-KELM. According to the improved sodat swarm optimization algorithm, chaotic mapping is introduced to improve the distribution diversity of population initialization, a mutualism strategy and a Levy flight strategy are introduced, information exchange between individuals and optimal individuals is enhanced, the carelessness of mining is expanded, and the optimization precision and speed of the algorithm are improved. According to the method, the problem of the suitability of parameter selection in the KELM model is solved, and the accuracy of mine water inrush source identification is improved.

The invention relates to an intelligent water affair center system for a nuclear power plant, and the system comprises a water affair production management system which is used for carrying out the centralized control and data management of a nuclear power plant water treatment system, a water resource and water chemical system, and a plant area water network system; the subitem inspection system is used for performing inspection processing on each area of a preset water affair range so as to perform real-time state monitoring and remote data acquisition and management on nuclear power plant equipment; the water affair equipment management system is used for performing data storage and management on equipment data during operation and maintenance of the process equipment through a pre-constructed equipment management database; and the regional safety management system is used for carrying out real-time monitoring and abnormity judgment on a preset region and preset equipment in a remote video monitoring mode, and carrying out early warning and alarming on an abnormity judgment result. Intelligent operation and management of the nuclear power plant are realized, and the operation, maintenance and management cost of the nuclear power plant is reduced.

The invention discloses a hot spring mixing proportion and thermal storage temperature calculation method, which comprises the following steps: selecting hot spring samples, testing representative parameters of all the selected hot spring samples, analyzing error values, determining a representative water sample according to the analysis error values, performing hydrochemical analysis on the representative water sample to determine a geothermal temperature scale, and calculating the mixing proportion and thermal storage temperature of the hot spring according to a hydrochemical analysis result. And carrying out end member mixing analysis on the determined representative water sample, calculating a cold and hot water mixing ratio, finally correcting the SiO2 concentration according to the cold and hot water mixing ratio, and calculating to obtain the final heat storage temperature. According to the method, the influence of mixing of the thermal spring water and shallow cold water in the process of exposing the thermal spring water out of the earth surface is reduced, hydrochemistry, isotope and thermal storage characteristics are comprehensively considered, determination of the thermal spring water mixing proportion and accurate calculation of the thermal storage temperature are achieved, and a basis is provided for dividing cause types of a geothermal system and evaluating geothermal energy resource potential.

The invention relates to a method for measuring thermodynamic parameters of a corrosion product under zinc injection, which comprises the following steps: detecting the characteristic peak position of the corrosion product through Raman spectrum, comparing with a standard Raman spectrum database to obtain the chemical structure of the corrosion product, calibrating the peak intensity of a standard sample, and obtaining the concentration of the corrosion product according to the relationship between the peak intensity and the concentration of the standard sample. The conductivity of the coolant containing the corrosion product is detected through alternating current conductivity, and the ionization constant of the corrosion product is obtained in combination with concentration information provided by the Raman spectrum. According to the invention, the thermodynamic parameters of the corrosion product under the chemical condition of zinc injection water can be measured in situ, including the chemical structure, concentration and equilibrium constant of the corrosion product, and the problem of lack of the thermodynamic parameters of the corrosion product under the current chemical condition of zinc injection water is solved; and a foundation is laid for accurate prediction of the corrosion product deposition law and model development under the zinc injection water chemical condition.

An intelligent discrimination method and apparatus for a mine water inrush source, a device, and a storage medium. The method comprises: acquiring a water chemical index of a water source sample to be discriminated (S1), wherein the water chemical index comprises a plurality of inorganic indexes and a plurality of organic indexes; and inputting the water chemical index into a preset water source discrimination model to obtain a water source type of said water source sample (S2). In addition to inorganic indexes for discrimination, organic indexes are added, so that the problem of being difficult to accurately discriminate, by means of inorganic water chemical indexes, water samples with similar component is solved, thereby improving the accuracy of water source type discrimination.

The invention relates to the technical field of intelligent sensing detection, in particular to an underground water detection system for hydraulic ring geological engineering based on data acquisition. The specific implementation process comprises the following steps: receiving a water quality sensing signal, and inhibiting a background interference domain and calculating a water quality physicochemical characteristic vector by utilizing water multiphase flow interference separation logic and comparing a physical scattering spectrum with a polarization drift spectrum; inputting the water quality physicochemical characteristic vector into a water quality physicochemical dynamic response model, executing concentration gradient variation modulus analysis, inverting a performance kinetic energy index, comparing the performance kinetic energy index with a water chemical equilibrium critical threshold, and regulating and controlling the sampling frequency; when the sudden change event is judged, generating a transient capture signal to execute locking sampling, and when the threshold is not broken through, generating a baseline water quality inspection signal to execute steady state monitoring. According to the method, the detection frequency is automatically adjusted by calculating the evolution kinetic energy index, the physical background interference is inhibited by utilizing the cross-correlation analysis between spectrums, the deviation degree of chemical equilibrium of the water body is quantified, and the fidelity of underground water monitoring data is improved.

The invention relates to the technical field of environmental monitoring and risk prevention and control, in particular to a target pollutant and fingerprint coordinated water pollution quantitative traceability technology and system, and establishes a water pollution traceability technology coordinated with multi-dimensional fingerprint information of a target pollutant and an environmental matrix thereof. Further constructing databases such as a target pollutant database, a water chemical characteristic fingerprint database, a stable isotope fingerprint database and a soluble organic matter fingerprint database, drawing a multi-dimensional pollution source information puzzle taking the target pollutant as an anchor point, and realizing accurate identification and contribution quantification of the water environment pollution source; the water environment pollution tracing system comprising a data acquisition layer, a feature extraction layer, an information analysis layer and a result output layer is constructed based on the established pollution source information puzzle concept, and the water environment pollution tracing system is complete, simple in process, efficient in output, reliable in result and capable of meeting the water pollution tracing and environmental litigation evidence requirements of various complex environments.

The invention discloses a sewage treatment regulation and control method and device based on reinforcement learning and a storage medium, and relates to the technical field of data processing.The method comprises the steps that state vectors are generated according to the carbon-nitrogen ratio of inlet water, the chemical oxygen demand of inlet water of a primary sedimentation tank, the chemical oxygen demand of outlet water of the primary sedimentation tank, the content of volatile suspended solids in sludge, the temperature and the pH value; inputting the state vector into a preset reinforcement learning model to obtain a first control action vector; and determining a first control parameter according to the first control action vector, and controlling a corresponding execution mechanism to perform parameter adjustment according to the first control parameter. The control strategy can be automatically adjusted according to the dynamic change of the inlet water quality characteristics, and the problem that an existing single carbon source control mode cannot be intelligently adjusted is solved.

The application discloses a water quality and soil detection and analysis method and system based on multi-standard automatic evaluation and belongs to the technical field of environmental monitoring data processing. The system comprises a data import module, an intelligent identification module, a batch sample processing module, a multi-standard evaluation module, a comprehensive analysis module, a water chemistry verification module and a result output module. The system automatically analyzes the Excel table structure through an intelligent identification algorithm, extracts index names, units, detection results and background values, supports batch sample format identification, can analyze multiple samples at a time, integrates three environmental quality standards of underground water GB / T 14848-2017, surface water GB 3838-2002 and soil GB 36600-2018, automatically performs quality classification evaluation, calculates single pollution index P i , exceeding multiple, Nemerow comprehensive pollution index P N , performs water chemistry anion and cation balance verification, Shukarev classification, TDS and hardness checking, and supports single sample and batch sample export and summary table generation. The application solves the problems of weak Excel data recognition ability, batch sample processing difficulty, lack of multi-standard automatic switching, single comprehensive evaluation method and insufficient data quality checking in the prior art, and greatly improves the efficiency and accuracy of detection data analysis.

The present invention discloses a method for preventing corrosion of anchor bolts in coal mine roadways in an alkaline water environment. This method comprehensively considers the influence of factors such as the alkaline water chemical environment, the stress state of the anchor bolts, the erosion age (service life), and the diameter of the anchor bolts on the thickness of the hot-dip galvanized layer of the anchor bolts; according to established parameters such as the strength and category of the alkaline water (service object), different positions (both sides, roof, shoulder socket), and the diameter of the anchor bolts in the coal mine roadway, the thickness of the hot-dip galvanized anti-corrosion layer can be determined. This method provides support for the thickness of the hot-dip galvanized layer of anchor bolts in coal mine roadways in an alkaline water environment, and on the basis of improving the anti-corrosion ability of the anchor bolts and the applicability to the geological environment, it avoids the excess or deficiency of the thickness of the hot-dip galvanized layer.

The present invention discloses an in-situ testing system for sediment pore water chemical parameters, comprising a docking fixture, an electric push rod, a guide rail, a connecting rod, a probe, a perforated rubber cover, a large end cap, a microelectrode connector, a small end cap, a copper tube, a water collection funnel, a permeable ceramic, a microelectrode assembly, a fixing sleeve, a flange, an electronics compartment, a connecting block, a submersible pump, and a three-way valve. Based on microelectrode detection technology, the present invention employs an electric push rod to achieve stable vertical displacement of the probe, passively collects pore water through the permeable ceramic, and replaces pore water samples through a pump and valve. The system is used to continuously detect chemical parameters such as pH, H2S, and Eh in marine sediment pore water. The present invention has the advantages of a simple and reliable structure, low cost, strong environmental adaptability, low disturbance, easily replaceable parts, high precision, and high efficiency.

The present invention relates to the technical field of mine, and discloses a method for quantitatively identifying the mixed water sources and the mixing degree of mine water inflow in multiple aquifers. The method includes the following steps: S1. Collect and collate the hydrogeochemical components of groundwater in multiple aquifers during the mine production period; S2. Analyze the basic characteristics of the hydrogeochemical components of groundwater in the mine with multiple aquifers by using mathematical statistics method, and determine the typical water samples of groundwater in the mine with multiple aquifers; S3. Select the hydrogeochemical components with stable chemical properties as the variables of the identification model for the mixed water sources of mine water inflow in multiple aquifers, identify the recharge sources of the mixed water sources, and calculate the mixing ratio; S4. Based on the PHREEQC mixing simulation, quantitatively identify the influence of the mixing degree on the water chemistry of the mixed water sources. The method proposed by the present invention is simple, easy to operate, economical and reliable, and can guide the water control work in mines with multiple aquifers in production practice. It has important guiding significance for judging the hydraulic connection and the direction of hydrochemical evolution in multiple aquifers.

The invention discloses a coral reef ecosystem community carbon sequestration evaluation method based on a Lagrange drift trajectory, and belongs to the field of marine ecological environment monitoring and carbon cycle research. The device comprises a drift tracking module, a CTD module, a hydrochemical parameter acquisition module, a depth instrument, a waterproof system and a buoyancy system, all the modules are integrated in the waterproof system, the buoyancy system is connected with the exterior of the waterproof system, and the modules are in signal connection to realize data transmission; according to the method, a Lagrange drift path and a time interval are recorded through the drift tracking module, the CTD module collects the temperature and salinity of a water body, the hydrochemical parameter collection module obtains total alkalinity and dissolved inorganic carbon and calculates the variable quantity of the total alkalinity and the dissolved inorganic carbon, and the depth instrument monitors the average water depth; the COexchange flux is calculated in combination with meteorological data, and then the net calcification rate and the net photosynthesis rate are obtained through a preset formula.

The invention belongs to the field of sewage treatment and water quality monitoring, and particularly relates to a construction method and application of a water inflow anomaly recognition model based on water quality. The water inflow anomaly recognition model comprises the steps of obtaining a historical data set; constructing a water inlet soft measurement MLP module and a water outlet prediction CNN module; performing reconstruction coupling on the water inlet soft measurement MLP module and the water outlet prediction CNN module to obtain a water inlet anomaly recognition model; the independent variables of the inflow water abnormity identification model are inflow water pH value, inflow water conductivity, inflow water dissolved oxygen and inflow water oxidation-reduction potential, and the dependent variable of the inflow water abnormity identification model is effluent chemical oxygen demand. According to the invention, the advantages of each model are fully exerted to improve the prediction precision and robustness; through verification, compared with a simple series model, the reconstruction coupling model provided by the invention can still keep good prediction performance even under the conditions of limited data samples and large volatility.

The present application relates to the field of groundwater environment numerical simulation, and more particularly to a method for mixed dynamic simulation and prediction of water chemistry and microbial field. It comprises: obtaining geological and hydrodynamic data and discrete biochemical parameters to construct an initial multi-modal data set, establishing a multi-field coupled mathematical model containing seepage migration and microbial metabolism based on the data set, constructing a physical information neural network, embedding the model as a constraint into a loss function to reconstruct the initial flow field and biomass field, then starting a time step iteration to receive dynamic boundary conditions to update the current flow field and medium permeability and feed back to the next step calculation, and finally constructing a Bayesian neural network to predict the three-dimensional state distribution and cut off the evolution process when the cognitive uncertainty index exceeds the preset threshold. The present application improves the numerical stability of complex underground multi-field dynamic deduction and effectively improves the long-period cumulative error divergence.

1. Name of the designed product: water chemical measurement regulation circuit. 2. Use of the designed product: for measuring and regulating chemical parameters of water circuit. 3. Designing points of the designed product: in shape. 4. Picture or photo best indicating the designing points: perspective view.

An intelligent discrimination method and apparatus for a mine water inrush source, a device, and a storage medium. The method comprises: acquiring a water chemical index of a water source sample to be discriminated (S1), wherein the water chemical index comprises a plurality of inorganic indexes and a plurality of organic indexes; and inputting the water chemical index into a preset water source discrimination model to obtain a water source type of said water source sample (S2). In addition to inorganic indexes for discrimination, organic indexes are added, so that the problem of being difficult to accurately discriminate, by means of inorganic water chemical indexes, water samples with similar component is solved, thereby improving the accuracy of water source type discrimination.

This invention provides a geochemical method and system for identifying phytoplankton community succession, relating to the fields of aquatic environmental geochemistry and ecological environment monitoring. The method involves simultaneous sampling of a target water body to determine water chemical parameters, dissolved inorganic carbon, particulate organic carbon, and stable carbon isotopes, while simultaneously acquiring data on the species composition and relative abundance of phytoplankton. Based on the water chemical parameters, the forms and concentrations of dissolved inorganic carbon in the water body are determined to ascertain the carbon source utilization pattern. The stable carbon isotope shift in the water body is determined based on the dissolved inorganic carbon, particulate organic carbon, and stable carbon isotopes. Furthermore, the stage of phytoplankton community succession in the target water body is identified by comparing the carbon source utilization pattern and the stable carbon isotope shift with the indicators. This invention enables early identification of the community succession process based on changes in carbon source utilization patterns, even before changes in phytoplankton community morphology become apparent.

A comprehensive animal footbath flushing system is provided that includes a source of water under pressure, that may be selectively introduced either to a flushing outlet in the footbath, or to a venturi pipe adjacent to a drain for the footbath, or to both at the same time. Water or a water-chemical mixture may be introduced into the footbath basin to flush out any accumulated organic materials. Alternately or at the same time, a separate flow of water may be introduced into the drain line which causes a Venturi at the drain, and facilitates rapid removal of water and other materials from the footbath. The drain opening may be provided in the floor of the basin or in one of the side walls. In some embodiments the basin floor is sloped, and the drain is located at a lower end of the floor.

The invention belongs to the field of water seepage amount measurement of underground engineering such as mines and tunnels, and particularly relates to a device for measuring the wall surface water seepage amount of a laneway structure based on an adsorbate weighing method and a using method thereof. The device comprises an adsorption layer, a flexible water-resisting layer and a rigid shell from inside to outside, the adsorption layer is arranged to be a cuboid block and has good water absorption and water retention performance; the flexible water-resisting layer and the rigid shell are both of a cuboid shell structure and each comprise a top face and four circumferential faces so that the top face and the four circumferential faces of the adsorption layer can be wrapped with the flexible water-resisting layer and the rigid shell. The core principle of the method is mass conservation, that is, an adsorption layer, a flexible water-resisting layer, a drying agent and a sealed container are regarded as a closed system; the mass increment of the closed system before and after measurement only comes from water seeping from a water seepage point, so that the measurement error caused by evaporation is fundamentally eliminated; in addition, by combining with a water chemical experiment, measurement errors caused by solid dissolved matters in seeping water are eliminated.

The embodiment of the present application relates to the field of testing the permeability of materials, and particularly to a method for determining the sealing performance of a filler. The method simulates the ground stress, temperature, pore water pressure and water chemical environment in the near field of a high-level waste repository, and restores the geological environment of a rock sample in the near field of the high-level waste repository as much as possible, so that the sealing performance of the filler determined in the environment is more accurate; by monitoring parameters such as the normal displacement of the fracture, the pore water pressure and the axial pressure, in combination with the microstructure and porosity data of the filler, different stages of the sealing of the fracture by the filler can be clearly identified, and the parameters can be quantitatively analyzed, so as to obtain data such as the deformation amount of the filler, the variation law of the porosity and the mineral precipitation amount, which reflect the sealing performance, and the data can reveal the physical-chemical mechanism of the mineral reaction of the filler, and thus can assist in the long-term safety prediction of the repository.

Systems and methods are provided for determining ion concentration of a fluid downhole using a polymer matrix packaged in a cartridge. An example method can include disposing a cartridge within a flow path of a sensor. The cartridge includes a bracket; a retainer formed of a porous material having pores sized to allow a fluid to flow therethrough; and a substrate comprising a polymer matrix embedded with an ion-indicator, the substrate configured to interact with the fluid and to modify an optical characteristic of the substrate according to an ion concentration of the fluid. The method further includes illuminating the substrate; detecting a change in an optical characteristic of the substrate, the change indicative of the ion concentration of the fluid; and determining the ion concentration of the fluid.

The present invention relates to the field of water chemistry measurement technology, and provides a switchable water chemistry measurement and control loop system, comprising: a low-pressure water supply module for supplying water to the entire loop system; a high-temperature, high-pressure water supply module for forming a high-temperature, high-pressure water supply loop; and a switchable measurement module for measuring and controlling the water inlet and outlet of the high-temperature, high-pressure water supply loop formed by the high-temperature, high-pressure water supply module. According to an exemplary embodiment of the present invention, the switchable water chemistry measurement and control loop system can measure and control the chemical parameters of the inlet and outlet water of an autoclave using a single set of system equipment.

The invention discloses a VMD-DBO-based water quality prediction system, which relates to the technical field of water quality prediction and comprises a water quality data acquisition unit, a feature selection unit, a network parameter setting unit and a model prediction unit. By constructing the sample data and decomposing the time sequence of the original sewage quality indexes, the actual effluent chemical oxygen demand, effluent total nitrogen and effluent total phosphorus corresponding to the water quality index data are obtained, the instability of the data can be reduced, the prediction effect of the model is enhanced, and the prediction accuracy of the model is improved. Meanwhile, all water quality indexes are associated with a time sequence, so that the prediction effect of a subsequent model can be more accurate, Transform and an LSTM neural network model are fused, the problem of long and short term dependence in the sequence can be better solved, and meanwhile, the method has the advantages of improving the parallel processing capability and improving the model robustness, and is suitable for large-scale popularization and application. And the system optimizes network parameters, so that the model has good adaptability and precision.

A biotoxicity prediction method based on SMOTE small sample machine learning can deal with the problem of insufficient natural experimental data, is proved to be capable of solving complex environmental problems, and comprises the steps of generating virtual data based on a synthetic minority class oversampling technology SMOTE to supplement sample data and maintain sample balance to meet the machine learning requirement; the method comprises the following steps: collecting natural water experimental data to obtain data related to metal toxicity prediction: water chemical condition data, nano-metal data and biological accumulation data; the data preprocessing is used for converting the data into a form suitable for being input into a machine learning model so as to improve the precision and efficiency of a fitting model; constructing a small sample machine learning model generated based on the virtual sample; model verification and feature importance analysis are carried out, the model verification comprises internal and external verification on the model so as to correctly evaluate the robustness and predictive ability of the model, and the feature importance analysis comprises feature importance sorting by adopting two standards of mean square error (MSE) increase and node purity increase.

The present invention provides a zirconium alloy for nuclear reactors, its preparation method and application, relating to the technical field of nuclear materials. The zirconium alloy provided by the present invention, by weight percentage, has chemical components including: Sn 0.40 - 0.65%, Nb 0.12 - 0.25%, Fe 0.35 - 0.50%, Cr 0.15 - 0.20%, Cu 0 - 0.13%, O 0.08 - 0.16%, and the balance is Zr. The zirconium alloy provided by the present invention is a stress-relieved or partially recrystallized structure, and the Zr(FeCr)2 second-phase precipitates are mainly distributed in the α-Zr matrix. It not only has good mechanical properties but also maintains excellent corrosion resistance in an oxygen-rich high-temperature and high-pressure water environment. Compared with existing Zr alloys, the zirconium alloy provided by the present invention has a lower corrosion weight gain when corroded in an oxygen-rich water environment for up to 240 days, meeting the application requirements of small and micro nuclear reactors under special water chemistry conditions.

Embodiments of the present application relate to the field of testing liquids in boreholes or wells, and in particular to a device and method suitable for analyzing and monitoring the chemical properties of groundwater in a roadway borehole. The device and method set a sealing assembly in the water-conducting fracture of the roadway borehole, and set other components of the device outside the borehole, which facilitates the maintenance and calibration of the components outside the borehole, to ensure that the device can operate effectively for a long time; at the same time, the overall size of the device is not limited by the space of the borehole and the environment, so that the monitoring data of the device fully reflects the chemical properties of the groundwater in the water-conducting fracture, and then comprehensively evaluates the water chemical environment of the monitoring section, to assist in the selection of underground engineering site and long-term performance safety evaluation; the pipeline is used to make multiple monitoring sections and other components in fluid communication, and the pressure of multiple monitoring sections is monitored, which can make the collection and reflux of groundwater in a sealed state and under normal pressure, prevent groundwater samples from being contaminated, and ensure that the monitoring data is accurate and effective.