112 results about "Analysis water" patented technology

The invention discloses a water quality monitoring system applied to sewage treatment, and relates to the technical field of sewage quality monitoring. Before microorganisms are added, the uniformity of water quality is monitored and analyzed, the sewage treatment mode is confirmed, and during layered treatment, the water quality is monitored and analyzed. The method comprises the following steps: analyzing a microorganism combination scheme and a microorganism addition scheme during sewage treatment of each deep layer, during overall treatment, carrying out water quality monitoring on the microorganism combination scheme and the overall microorganism addition scheme of the sewage after microorganisms are added, and then carrying out corresponding adjustment, so that the uniformity and uniformity of the water quality treatment progress are ensured; the method is beneficial to maintaining the stability of a microorganism growth environment, so that microorganisms continuously and efficiently work in a relatively stable environment, the decomposition speed of pollutants in sewage is increased, the stability of effluent quality is ensured, the difficulty of subsequent microorganism control and regulation is reduced, the overall sewage treatment effect is improved, microorganism waste is not easily caused, and the method is suitable for industrial production. The operation cost is reduced.

The invention provides a river pollution source tracking system and method combined with water quality monitoring, and relates to the technical field of water quality monitoring. The distribution gradient analysis module is used for analyzing the collection distribution gradient of each collection target; the uniformity evaluation module is used for carrying out distribution uniformity evaluation according to the collection distribution gradient and configuring a water quality monitoring strategy; the path analysis module is used for collecting water quality monitoring data and analyzing a pollutant propagation path in combination with the collected water flow data to obtain a propagation moving line of each pollutant; and the pollution source tracing module is used for tracing the pollution source through a reverse tracing algorithm and positioning the position and the type of the pollution source. The technical problems that water quality monitoring in the prior art depends on fixed monitoring points, the water quality is evaluated through regular sampling and water quality parameter analysis, the change condition of the water quality in a large range cannot be comprehensively reflected, and the exact position and type of a pollution source are difficult to accurately trace are solved.

The invention relates to the field of water quality detection, in particular to a water quality online analysis method and system. The water quality on-line analysis system comprises a water quality monitoring module, a calibration module and a comprehensive evaluation module. The monitoring frequency is dynamically adjusted according to the water flow rate, and when the water flow rate is high, the system can automatically increase the monitoring frequency to capture key water quality changes; when the water flow velocity is relatively low, the monitoring frequency of the system is reduced, and unnecessary resource waste is avoided, so that more efficient resource utilization is realized; meanwhile, the time for next calibration of each sampling point is determined by comprehensively analyzing the water flow velocity and the water quality change, and the intelligent adjustment mechanism not only improves the timeliness and accuracy of monitoring, but also reduces the energy consumption and the cost, so that the water quality monitoring is more economical and efficient.

The invention discloses an intelligent aquaculture control system and method, and particularly relates to the field of aquaculture control. Environmental monitoring data of a culture water body is obtained, and whether the water quality of the culture water body meets a preset water quality requirement is analyzed and judged according to the data. When the water quality of the aquaculture water body does not meet the preset water quality requirement, the water body is automatically adjusted according to the water quality requirement data, and a water body optimization record is generated. And by analyzing the water body optimization effect, generating a water body state regulation and control effect record. And acquiring growth state data of the cultured organisms, comprehensively evaluating the health condition of the cultured organisms in combination with the water body regulation and control effect, and generating a growth health evaluation result. And when the evaluation result shows that the health risk exists, a health early warning notification is sent, and a corresponding management suggestion is provided for a manager, so that intelligent control and risk early warning in the culture process are realized, and the aquaculture efficiency and the health level of cultured organisms are improved.

The invention relates to the field of hydraulic engineering, in particular to a smart reservoir management method based on big data, which comprises the following steps: S1, monitoring the water quality of a reservoir; s2, reservoir water quality analysis; s3, predicting the water level of the reservoir; s4, water scheduling analysis; s5, dam safety monitoring; s6, equipment state monitoring; according to the method, the pollution time periods of all the detection points of the reservoir are screened by analyzing the water quality parameters of the water samples at all the time points and all the detection points of the reservoir, the water delivery amount of all the areas and all the time periods is analyzed by obtaining the water consumption amount of all the areas and all the time periods, and then water delivery is conducted on all the areas in all the time periods; according to the maximum water level prediction value of each future time point of the reservoir, the safety evaluation coefficient of the reservoir dam and the state evaluation coefficient of the reservoir equipment, the safety comprehensive evaluation index of the reservoir is obtained through analysis and fed back, the safety condition of the reservoir can be comprehensively evaluated, and potential risks and problems can be found in time.

The invention discloses a coal bed gas biological yield increase effect dynamic monitoring and evaluation method which comprises the following steps: arranging a multi-parameter sensor in a target coal bed gas well site, and collecting background data before bacterium injection; injecting a microbial bacterial solution and a nutrient solution into the coal seam according to the experimental design, and recording parameter information in the injection process; periodically collecting a gas production sample, and analyzing gas components; analyzing microbial community structure and abundance change in the water sample; combining the gas generation rate, the isotope characteristics and the microflora analysis result to identify a gas production path and calibrate a key functional flora; and constructing a mathematical model containing microbial activity, coal quality conversion and gas production efficiency, forming an evaluation index system, and outputting field process optimization suggestions based on the model. According to the method, a scientific basis is provided for dynamic optimization of the yield increasing process, and compared with a traditional laboratory method, the method can achieve systematic analysis of the in-situ microorganism process and quantitative evaluation of the gas production effect, and has good field adaptability and popularization value.

The invention relates to the technical field of water quality analysis, in particular to a water quality evaluation method based on data analysis, which comprises the following steps: based on a satellite remote sensing technology, analyzing water spectral characteristics by adopting a deep neural network algorithm, and generating water characteristic data. According to the method, the satellite remote sensing technology and the deep neural network are combined, the accuracy of water body spectral feature analysis is improved, particulate matter in water is classified through image recognition, the analysis speed is increased, the result accuracy is improved, environmental DNA sampling is used for evaluating the biological diversity, and basic data are generated for microbial activity analysis; a micro-fluidic chip and a fluorescence labeling method are used for improving the activity analysis sensitivity of microorganisms and algae, a support vector machine algorithm is used for improving the water quality detection accuracy, an autoregression integral moving average model and a random forest algorithm are combined for deep water quality change analysis, and a comprehensive risk assessment model is used for comprehensively assessing the water quality risk. And a basis is provided for accurate water quality management.

The present invention discloses a water quality monitoring system applied to sewage treatment, which relates to the technical field of sewage water quality monitoring. Before adding microorganisms, the present invention monitors and analyzes the uniformity of water quality, confirms the sewage treatment mode. During stratified treatment, it analyzes the microorganism combination plan and microorganism addition plan for sewage treatment at each depth layer. During overall treatment, it analyzes the microorganism combination plan and overall microorganism addition plan for sewage, and after adding microorganisms, it conducts water quality monitoring and then makes corresponding adjustments to ensure the unity and uniformity of the water quality treatment progress, which helps to maintain the stability of the microorganism growth environment, so that the microorganisms can continuously work efficiently in a relatively stable environment, improve the decomposition speed of pollutants in the sewage, ensure the stability of the effluent water quality, reduce the difficulty of subsequent microorganism control and regulation, improve the overall sewage treatment effect, and is not easy to cause microorganism waste, reducing the operation cost.

The invention relates to the technical field of underground water, in particular to an underground water pollution source analysis and risk assessment method and system.The method comprises the following steps that monitoring points are arranged in a potential underground water affected area, water samples are collected, and organic pollutants, heavy metal content and microbial metabolites in the water samples are analyzed; collecting the characteristic spectrum data of the pollutants, and carrying out normalization processing to obtain a pollutant spectrum characteristic set; according to the method, the organic pollutants, the heavy metals and the microbial metabolites in the water sample are analyzed by using a liquid chromatography-mass spectrometry technology, accurate detection of the trace pollutants is realized, the data standardization level is improved through normalization processing of the pollutant spectral feature set, cross-regional data comparison and analysis are facilitated, and the detection accuracy is improved. The pollution source can be quickly identified through automatic data comparison, errors are reduced, the response speed is increased, and detailed analysis of spatial distribution data provides a comprehensive pollution diffusion picture, so that risk assessment is more comprehensive.

The invention discloses a water quality pollution monitoring system and method, and relates to the field of water quality pollution monitoring. The system comprises a region division and sampling point layout module, a deviation analysis module, a first monitoring region analysis module and a second monitoring region analysis module, the region division and sampling point layout module analyzes the pollution source characteristics of the to-be-monitored region, reasonably divides the monitoring region and arranges sampling points; the deviation analysis module is used for performing deviation analysis on data of adjacent sampling points after water quality samples are collected, so as to ensure the accuracy and consistency of the data; the first monitoring area analysis module is combined with a water quality fluorescence fingerprint analysis technology to carry out matching and tracing on a known pollution source and accurately identify the position of the pollution source; and the second monitoring area analysis module gradually confirms the specific position of the pollution source by analyzing the water sample flowing path.

The invention provides a reservoir floccule degradation method based on a microbial technology. The reservoir floccule degradation method based on the microbial technology comprises the following steps: a, carrying out comprehensive water quality analysis on a reservoir water body, including determination of organic matter concentration, floccule quantity, pH value, dissolved oxygen content and temperature parameters, so as to determine causes and distribution characteristics of the reservoir floccules, and analyzing an existing microbial community structure in the water body by adopting a high-throughput sequencing technology; and identifying the types and functions of the key microorganisms so as to optimize the formula of the subsequent microbial agent. According to the reservoir floccule degradation method based on the microbial technology, the problem that the degradation efficiency is unstable due to the fact that the microbial activity is limited by environmental conditions is effectively solved by accurately regulating and controlling the feeding amount of a microbial agent and the bacterial strain proportion. Specifically, through comprehensive water quality analysis and microbial community structure evaluation, the formula of the microbial agent can be optimized, so that the microbial agent can better adapt to the actual environment of the reservoir.

The invention relates to the technical field of aquaculture, and discloses a growth monitoring system for aquaculture organisms, and the system comprises a data collection module which is used for collecting water quality parameters, organism growth information and external environment data in real time; the data processing module is used for cleaning, denoising, fusing and normalizing the acquired data; the sensitivity analysis module is used for analyzing the influence of water quality parameters on biological growth and identifying the parameters; the water quality growth modeling module is used for establishing a nonlinear relation model of water quality parameters and biological growth; and the abnormity detection module is used for detecting abnormal modes of water quality or biological growth and triggering an alarm. According to the method, the water quality parameters and the biological growth information are collected in real time, the data processing and analysis technology is combined, the breeding environment and the feeding strategy can be dynamically optimized, and therefore the biological growth speed, the feed utilization rate and the overall breeding efficiency are remarkably improved.

The invention provides a complex aquifer mine water source rapid identification method, which relates to the technical field of water source identification, and comprises the following steps: 1) judging a water source according to the correlation between water volume and water level change; 2) judging a water source according to the water level; 3) analyzing a water guide channel; 4) water quality analysis; (5) performing experimental grouting; 6) performing a tracing test; (7) carrying out geophysical exploration; 8) evaluating the water yield property; according to the method, the water inrush source is judged by means of various methods such as a tracing test, a water quality test, water level dynamic analysis and geophysical exploration, and comprehensive change information and the like of the water filling aquifer are systematically analyzed, so that the position of the water inrush source can be accurately found, and the problems that the water inrush source is difficult to accurately determine by a single method and misjudgment may occur are solved.

The invention discloses an aquatic organism diversity analysis method based on hydropower station construction influence, and is applied to the technical field of biological diversity analysis. Comprising the following steps: dividing a target water body into a plurality of monitoring areas according to a hydropower station construction scheme; hydrological data and biodiversity data are collected in different periods; performing space-time analysis on the hydrological data and the biodiversity data of different monitoring areas, identifying change conditions and calculating quantitative indexes; matching the hydrological data with the biodiversity data, and analyzing the influence capability of different parameters in the hydrological data on the biodiversity data; and evaluating the influence degree of the hydropower station construction on the aquatic organism diversity. Multi-source parameters before hydropower station construction, in the construction process and in the operation process are monitored, the influence of hydropower station construction on aquatic organism diversity of a target water body is analyzed through hydrological data, and data reference is provided for protecting species diversity.

The invention belongs to the technical field of water pollution treatment, and particularly relates to a river basin water pollution tracing method and device and a medium. Performing water quality change feature clustering analysis on the preprocessed river data in the assessment section through a preset clustering analysis method, and analyzing dominant factors of water quality change features through a correlation analysis method; constructing a one-dimensional hydrological water quality model, calculating the water quality pollution contribution degree of each assessment section to the downstream assessment section through the one-dimensional hydrological water quality model, and determining the spatial position of a pollution source; and finally, calculating the pollution importance degree of each upstream inflow assessment section of the national examination section through the constructed random forest algorithm, and extracting the characteristics of the assessment section with the highest pollution importance degree on the national examination section. The method can solve the problem that in the prior art, the water quality pollutant problem of the river basin cannot be effectively analyzed.

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.

The invention belongs to the technical field of environmental analytical chemistry, and particularly relates to a method for simply and accurately analyzing ion states and particle states of metal nanoparticles in a water body. The method comprises the steps of electron microscope coupling energy spectrum identification, ion state separation and extraction through a filter membrane, acidolysis of the ion state and the mixed state, microwave digestion, acid removal and constant volume and quantitative detection and analysis, meanwhile, a sample pretreatment method for digesting titanium dioxide and zinc oxide through hydrofluoric acid is abandoned, and operation is safer. The method provided by the invention overcomes the dependence and limitation of advanced instruments such as spICP-MS and the like, reduces the test and analysis cost, overcomes the error caused by conversion of particle number concentration and ion mass concentration, and meets the requirement on water sample particle homogenization. Meanwhile, a simple, accurate and high-recovery-rate analysis method is innovatively formed on the basis of existing equipment, the bottleneck that the ionic state and the particle state are difficult to quantitatively compare is overcome, the deficiency of a nanoparticle biological quantitative standardization process is made up, and the method has good generalization performance.

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 utility model discloses a water quality on-line monitoring and early warning device which comprises a sampling system and a monitoring system arranged at the output end of the sampling system, the sampling system comprises a self-priming pump set and a filter arranged at the input end of the self-priming pump set, and the monitoring system comprises an analysis water tank communicated with the sampling system. An analyzer capable of rapidly detecting a water sample is arranged in the analysis water tank, a control system connected with the sampling system and the monitoring system is arranged on the outer side of the monitoring system, quantitative water sample extraction operation is conducted on a monitoring point through the sampling device, and the water sample in the analysis water tank is rapidly detected through the analyzer. The utility model relates to a water quality monitoring system, which is used for monitoring the water quality of each drainage point, quickly and accurately controlling the water quality change condition of each drainage point under the action of the monitoring system, further reducing the matching and maintenance workload of personnel and effectively controlling the cost, and belongs to the technical field of water quality monitoring.

The invention discloses an online detection method and system for emerging pollutants in a water body and a storage medium, and belongs to the technical field of water quality detection.The method comprises the steps that basic data are collected, and an initial knowledge graph is constructed based on the basic data; simplifying the initial knowledge graph to obtain an optimized graph; collecting environment information of a to-be-analyzed area, and determining potential pollutants and potential pollution sources in combination with the environment information and the optimization atlas; selecting N potential pollutants as preliminary screening pollutants, and obtaining a detection method of the preliminary screening pollutants in combination with the optimized atlas; if a sensor detection method exists in the detection methods, a corresponding sensor is used for collecting water quality data, and if only a sampling detection method is included, water quality is sampled to obtain a water quality sample; detecting the water quality sample in a laboratory to obtain water quality data, and analyzing the water quality data to generate the water quality improvement method. According to the method, the knowledge graph is constructed through existing literature data, so that the working efficiency of an emerging pollutant detection process is improved.

The present invention provides a method for degrading reservoir flocs based on microbial technology. The method for degrading reservoir flocs based on microbial technology comprises: a. conducting a comprehensive water quality analysis of the reservoir water body, including determination of organic matter concentration, floc quantity, pH value, dissolved oxygen content, and temperature parameters, to determine the cause of reservoir flocs and their distribution characteristics, and using high-throughput sequencing technology to analyze the existing microbial community structure in the water body, identify key microbial species and their functions, so as to optimize the formulation of subsequent microbial agents. The method for degrading reservoir flocs based on microbial technology effectively solves the problem of microbial activity being limited by environmental conditions, resulting in unstable degradation efficiency, by precisely controlling the dosage of microbial agents and the strain ratio. Specifically, through comprehensive water quality analysis and evaluation of microbial community structure, the formulation of microbial agents can be optimized to better adapt to the actual environment of the reservoir.

1. Name of the Design Product: Monitor (COD). 2. Use of the Design Product: It can quickly and accurately measure the chemical oxygen demand in water bodies, providing important data for analyzing water quality conditions. 3. Design Key Points of the Design Product: Lies in the shape. 4. Picture or Photo that Best Illustrates the Design Key Points: Perspective view.

A flow-through smart aquaculture automated water quality management system comprises: a plurality of aquaculture tanks containing water for cultivating aquatic products; a plurality of pipes connecting the plurality of aquaculture tanks; a plurality of valves installed in the plurality of pipes to regulate or block the flow of water within the plurality of pipes; a plurality of pumps installed in the plurality of pipes to provide pressure for the flow of water within the plurality of pipes; a tank sensor installed in the plurality of aquaculture tanks to acquire tank environment data regarding the environment of the plurality of aquaculture tanks; an image sensor installed in the plurality of aquaculture tanks to acquire aquatic product data regarding the aquatic products; a communication device to acquire external environment data regarding seawater flowing into the plurality of aquaculture tanks; an analysis server that analyzes the tank environment data, the aquatic product data, and the external environment data to output an analysis result and generates a control signal according to the analysis result; a monitoring device that provides the analysis result from the analysis server as visualization data; a valve gateway that controls the plurality of valves based on the control signal received from the analysis server; a pump gateway that controls the plurality of pumps based on the control signal received from the analysis server; and a water quality treatment system that processes the water contained in the plurality of aquaculture tanks based on the control signal received from the analysis server. Includes a device.

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.

The present invention belongs to the field of water pollution treatment technology, and in particular relates to a method, equipment, and medium for tracing the source of water pollution in a river basin. First, river data of each assessment section is obtained and preprocessed; then, a preset cluster analysis method is used to cluster the preprocessed river data in the assessment section to analyze the water quality change characteristics, and the dominant factors of the water quality change characteristics are analyzed by correlation analysis; then, a one-dimensional hydrological and water quality model is constructed, and the contribution of each assessment section to the water quality pollution of its downstream assessment section is calculated through the one-dimensional hydrological and water quality model to determine the spatial location of the pollution source; finally, the pollution importance of each upstream water assessment section of the national assessment section is calculated through the constructed random forest algorithm, and the characteristics of the assessment section with the highest pollution importance to the national assessment section are extracted. The present invention can solve the problem of the inability to effectively analyze the water quality pollutant problem in river basins in the existing technology.

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 invention relates to the field of data analysis, in particular to a lake water environment quality monitoring method and system based on big data analysis, and the method comprises the steps: determining a water body pollution region according to remote sensing data, and obtaining monitoring data; the mass center point of the water body pollution area serves as a center monitoring point, a water body updating coefficient is calculated, a monitoring interval is determined according to the pollutant concentration change, and surrounding monitoring points are constructed in the preset angle direction; the synchronous degree of pollutant changes of the surrounding monitoring points and the central monitoring point is evaluated, the angle corresponding to the maximum value and the second maximum value is selected as the angle of the diffusion direction of the pollutants, diffusion points are arranged in the diffusion direction, the emergency degree of the diffusion points is calculated, and when the emergency degree is larger than an emergency threshold value, the system gives an alarm. By analyzing the water body updating coefficient and evaluating the synchronization degree, the lake water environment quality is comprehensively monitored, and a data basis is provided for water body pollution treatment.

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.