76 results about "Analysis water" patented technology

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 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 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 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 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 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.

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 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 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 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 invention discloses a water quality calculation method and device based on an entropy weight method, equipment and a storage medium. The method comprises the steps of obtaining to-be-analyzed water quality data; normalizing the to-be-analyzed water quality data to obtain a water quality index value; calculating the water quality index value by using a preset entropy weight calculation formula to obtain the entropy weight of at least one water quality index; according to the entropy weight of each water quality index and a preset water quality index calculation formula, calculating to obtain a to-be-measured water quality index; obtaining a water quality target index according to a preset water quality standard value and the entropy weight of the water quality index; and determining a water quality standard index according to the to-be-detected water quality index and the water quality target index. The influence of each water quality index value on the water quality can be fully reflected by calculation based on the entropy weight of each water quality index, and the water quality target index is obtained according to the preset water quality standard value and the entropy weight of the water quality index to serve as a judgment index for measuring whether the water quality reaches the standard or not, so that the difference between the current water quality and the water quality target is quantitatively reflected.

The invention relates to a liquid chromatogram analysis water phase type prediction method based on machine learning, a medium and a program product. The prediction method comprises the following steps: collecting organic matter liquid chromatogram water phase type data, and carrying out classification labeling; extracting molecular structure characteristics (1D / 2D descriptors and molecular fingerprints); optimizing a feature set and balancing data distribution; constructing a machine learning classification model; optimizing the performance of the model through double verification of a Kappa value; and predicting the water phase type of the new substance based on the optimization model. Compared with the prior art, whether the buffer salt needs to be added into the water phase or not can be predicted, and the development process of a liquid chromatographic analysis method for mass substances can be accelerated; the scheme is simple, convenient and easy to use, easy to master, high in accuracy and wide in application range, and can be applied to the development process of an organic matter liquid chromatographic analysis method in the subject fields of environmental detection, environmental ecology, medicine, materials and the like.

The invention relates to an inland natural river design water level calculation method and system, and the calculation method comprises the following steps: S1, collecting multi-source hydrological data, analyzing the collected data, and generating a standardized hydrological database; s2, screening long-series continuous observation data of hydrometric stations, constructing a water level influence factor matrix, and generating water level data; s3, constructing a hydrological element comprehensive duration curve, identifying periodicity and abrupt change points, and calculating design water levels in different recurrence periods based on a probability distribution model and in combination with change feature correction; and S4, evaluating precision through cross validation, outputting a comprehensive duration curve, and designing a water level and an uncertainty interval. According to the method and system, multi-source data can be integrated, the hydrological element incidence relation can be comprehensively analyzed, and the design water level calculation method and system are dynamically corrected, so that the calculation precision and reliability of the design water level of the natural inland river are improved.

The plankton sampler comprises a sampling box, a liquid inlet pipe and a liquid outlet pipe are arranged on the side wall of the sampling box from top to bottom, a controller for controlling the liquid inlet pipe and the liquid outlet pipe to work is arranged at the top of the sampling box, and a liquid storage cavity communicated with the liquid inlet pipe and the liquid outlet pipe is formed in an inner cavity of the sampling box. The inner cavity of the liquid storage cavity between the liquid inlet pipe and the liquid outlet pipe is sequentially connected with a collecting net from top to bottom; the hole diameters of the collecting nets arranged from top to bottom are sequentially decreased to collect planktons of different sizes, the different planktons in the sampled water body are collected through the collecting nets with different hole diameters, the planktons can be conveniently classified in one-time sampling, the types of the planktons in the water body can be accurately analyzed, and the sampling efficiency is improved. Therefore, evaluation of biological diversity and ecological health of the water body is facilitated.

The chemical analysis device comprises a base and a shell, a water conveying pipeline is fixedly connected to the upper portion of the base, a water wheel is rotatably connected to the interior of the water conveying pipeline, the water wheel penetrates through the water conveying pipeline to be in transmission connection with a connecting rod, and the connecting rod is in transmission connection with a third bevel gear; the third bevel gear is in meshed connection with a fourth bevel gear, the fourth bevel gear is in transmission connection with a fan, the end, away from the water conveying pipeline, of the connecting rod is fixedly connected with a first bevel gear, water flow impacts the water wheel after water quality sampling, the connecting rod, the first connecting belt, the third bevel gear and other components are sequentially driven to conduct transmission, and finally the fan is driven to rotate; a water wheel rotates to drive a cam to rotate through a transmission structure, the characteristic that the two ends of the cam are uneven is utilized, a knocking block periodically knocks a filter plate through linkage of components such as a spring, a long rod and a connecting rod, and the automatic knocking cleaning mechanism can remove blockages in time.

The invention discloses an ultra-trace thallium analysis system and method. The ultra-trace thallium analysis system comprises a pretreatment unit, a separation and enrichment unit, a pH regulation unit and a detection unit. The pretreatment unit is used for filtering, acidifying and oxidizing a water sample to be treated to obtain a pretreated water sample; the separation and enrichment unit is used for enriching thallium ions in the pretreated water sample and separating out interfering ions; the pH adjusting unit reduces the acidity of the enriched water sample to obtain a water sample to be analyzed; the detection unit receives the water sample to be analyzed and carries out thallium analysis detection on the water sample to be analyzed. Wherein the pH adjusting unit comprises a pH adjusting column, and the pH adjusting column comprises hydroxyl type resin and is used for exchanging anions in the enriched water sample and carrying out neutralization reaction with H < + > in the enriched water sample so as to reduce the acidity of the enriched water sample, so that the compatibility contradiction between the solid-phase extraction elution acidity and the liquid anode glow discharge spectrum sample introduction acidity in the prior art is overcome; meanwhile, interference cations are prevented from being introduced, and high-sensitivity analysis on trace thallium in water is realized.

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 invention discloses a water conservation function evaluation method and device based on a convolutional auto-encoder, and the method and device are used for obtaining and analyzing multi-source heterogeneous data of a water conservation function and carrying out the evaluation and classification of the water conservation function. The method comprises the following steps: firstly, acquiring comprehensive environmental data through a data acquisition and preprocessing module, and preprocessing to ensure the consistency and quality of the data; then, a convolutional auto-encoder is combined with a joint training method, deep feature extraction is performed on the data set, and the accuracy of feature representation is enhanced; and finally, carrying out clustering analysis on the extracted features to obtain a classification result of the water conservation function. According to the method, the problems of inaccurate multi-source heterogeneous data feature extraction and inaccurate classification analysis are effectively solved, and reliable technical support is provided for water source management and decision making.

The present invention belongs to the technical field of environmental analytical chemistry, and specifically relates to a method for analyzing the ionic state and particle state of metal nanoparticles in water. The present invention proposes a method of electron microscope coupling energy spectrum identification-filtration membrane separation and extraction of ionic state-ionic state and mixed state acid hydrolysis-microwave digestion-acid removal and volume fixation-quantitative detection and analysis, while abandoning the sample pretreatment method of hydrofluoric acid digestion of titanium dioxide and zinc oxide, which is safer to operate. The method of the present invention overcomes the dependence and limitations of advanced instruments such as spICP-MS, reduces the cost of testing and analysis, and overcomes the errors caused by the conversion of particle number concentration and ion mass concentration and the requirement for homogenization of water sample particles. At the same time, the present invention innovatively forms a simple, accurate, and high-recovery analysis method based on existing equipment, overcomes the bottleneck of difficult quantitative comparison of ionic state and particle state, makes up for the lack of standardized process of nanoparticle biological quantification, and has good generalizability.

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.