68 results about "Calorimetry" patented technology

The invention relates to the technical field of fire science and computer vision, in particular to a long-term fire heat release rate prediction method based on fire scene image recognition. The method comprises the following steps: selecting a plurality of groups of fire video data from an NIST fire calorimetric database, preprocessing the fire video data, and extracting key image frames from image frames corresponding to the selected fire video data by adopting a dense frame extraction mode, the HRR prediction method comprises the following steps: extracting a plurality of key image frames, marking the heat release rate of the corresponding key image frames, establishing a deep learning model based on Bi-LSTM and Attention mechanisms, inputting the plurality of extracted key image frames into the deep learning model, extracting spatial-temporal characteristics by the deep learning model, and generating an HRR prediction value corresponding to a future fire image. According to the method, the time sequence features and the spatial features of the fire scene image sequence are extracted, and the attention mechanism and the backbone architecture of the bidirectional long-short-term memory network are combined, so that the high-precision prediction of the long-time history and the long-time-history heat release rate of the fire can be realized.

To provide a warpage analysis method, a warpage analysis device, and a warpage analysis program of a resin molding, and a recording medium, which improve prediction accuracy by fully considering a crystallinity behavior of a resin in a molding process.SOLUTION: A warpage analysis method of a resin molding includes a crystallinity calculation step of calculating the temporal change of the crystallinity of the resin, on the basis of temporal changes of a temperature and a pressure in a resin solidification shrinkage process, and a specific volume calculation step of calculating the temporal change of the specific volume of the resin, on the basis of the temporal change of the temperature, the temporal change of the pressure and the temporal change of the crystallinity, where the crystallinity calculation step calculates the temporal change of the crystallinity by considering the crystallinity behavior of the resin in a molding temperature region obtained by high speed differential scanning calorimetry, and the specific volume calculation step calculates the temporal change of the specific volume, on the basis of a predetermined expression.SELECTED DRAWING: Figure 3

A respiratory monitoring system with improved detection of oxygen consumption is described. The system uses one or two mixing chambers and samples gases at selective locations for reliable detection of oxygen over extended periods of time with autonomous detection of calibration drift. The system can be used for indirect calorimetry and monitoring health of a subject.

The application discloses an online data analysis method and system for fusion radiation calorimetric diagnosis, and belongs to the technical field of nuclear fusion experiments. The method firstly establishes a fusion radiation calorimetric diagnosis expert rule base based on multi-dimensional parameter data fusion, creates a paging man-machine interface and a unified canvas framework embedded in the interface homepage; then, a current discharge gun number is acquired online, multi-signal source time sequence data is acquired from a current pulse tree of a remote pulse database and stored into a local pulse library; then, data is processed and analyzed according to diagnostic expert rules, automatic identification and compensation of abnormal channels of the diagnosis are realized, and radiation intensity and total radiation power are calculated online; finally, various signal data are integrated and visualized under the unified canvas framework; the system realizes an efficient radiation calorimetric diagnosis online data analysis method and provides reliable data support for fusion experiments.

The application discloses an adiabatic accelerating calorimetry method with fast reaction heat loss correction. The application realizes more accurate calculation of sample reaction kinetics and thermodynamics by compensating the convection and conduction heat loss in the fast reaction stage; differential equations are derived and solved from the perspective of heat balance by using heat transfer analysis; a new heat loss calibration mode is added, the HWS heating stage is divided into two parts, the convection heat loss coefficient is calibrated by tracking the reaction system temperature by controlling the cover temperature in the first part, and the conduction heat loss coefficient is calibrated by controlling the constant temperature of the furnace body in the second part; the linear fitting and interpolation method are used to solve the relationship between the heat loss coefficient and the temperature in the reaction process; and finally, the heat loss in the reaction process is integrated to compensate the sample heat release. The application improves the accuracy and reliability of the solution of thermodynamic and kinetic parameters.

The application provides a lead-free relaxor ferroelectric solid solution and a preparation method thereof. The chemical composition of the lead-free relaxor ferroelectric solid solution is 0.9((1-x)BaTi 0.8 Zr 0.2 O3-xBa 0.65 Sr 0.35 TiO3)-0.1BaTiO3-y% MgO, wherein x represents a molar coefficient, y represents a mass fraction, 0.2<=x<=0.8, and 0 In the application, BZT, BST and BT ferroelectric bodies are combined, the BT ferroelectric body with high polarization intensity is introduced to improve the polarization behavior of the ceramic, and the electric calorimetric variation, the energy storage density and the pyroelectric current of the system are significantly improved; the MgO nano powder is introduced at the interface of the ternary combined lead-free relaxor ferroelectric solid solution, a barrier layer can be formed and an electric field amplification effect can be generated, so that the breakdown field strength is increased, and the electric calorimetry and the energy storage characteristics are improved.

The invention relates to an application of differential scanning calorimetry in ambrotone quality control. Specifically, the invention provides a method for determining ambrotone, and the method comprises the step of determining an ambrotone sample by a differential scanning calorimetry. The method disclosed by the invention can be used for measuring the content of ambrotone, so that the method is used for controlling the quality of ambrotone, the differential scanning calorimetry has the advantages of rapidness, high efficiency, simplicity in operation, good reproducibility and the like, and the establishment of the method provides a rapid and efficient analysis method for controlling the quality of ambrotone. The important significance is realized on the application of ambrotone.

A computer-implemented method for obtaining a Q10 value for accelerated ageing tests of a product, comprising: obtaining at least one Q10 value of a first product; performing differential scanning calorimetry on the first product; determining the ratio of semicrystalline chain structure to amorphous chain structure present in the product, using the differential scanning calorimeter analysis data of the first product; determining the ratio of semicrystalline chain structure to amorphous chain structure present in a second product using differential scanning calorimetry; predicting the Q10 value of a second material using (i) the Q10 value of the first product, (ii) the determined ratio of semicrystalline chain structure to amorphous chain structure present in the first product, and (iii) the determined ratio of semicrystalline chain structure to amorphous chain structure present in the second product. The disclosure also relates to other inventive methods for determining Q10 values including a method for determining a Q10 value of a product comprising multiple materials, a method for determining a Q10 value by making a comparison with historical Q10 values in a database, and a method using time temperature superposition.

The invention relates to the technical field of respiration measuring devices, and provides a livestock and poultry respiration heat measuring method, system and device.The livestock and poultry respiration heat measuring method comprises the steps that an open-circuit type respiration heat measuring chamber is adopted, and the oxygen consumption amount and the carbon dioxide release amount of livestock and poultry at a plurality of moments and related weight data of various behavior activities are obtained; obtaining respiratory entropy data at each moment, and dividing the respiratory entropy data into a plurality of metabolic characteristic segments; determining the gas change volatility of each metabolic characteristic segment; obtaining the weight change synchronism of various behavior activities of each metabolic characteristic segment; screening a plurality of breathing heat measurement influence characteristic segments of each type of behavior activity to obtain breathing heat measurement influence degrees of each type of behavior activity; determining an energy consumption coefficient of each type of behavior activity, and further obtaining an energy consumption factor of each type of behavior activity in each metabolic characteristic segment; and obtaining the real energy metabolism level at the current moment. The invention aims to solve the problem that the authenticity of the metabolic level is influenced by the interference of animal behavior change on the measurement result in the respiration heat measurement process.

This invention discloses a comprehensive evaluation method for the fire hazard of materials. It classifies the fire hazard of materials into three categories: ignition hazard, thermal hazard, and non-thermal hazard. Based on experimental data obtained from UL-94 vertical burning tests, limiting oxygen index tests, thermogravimetric analysis, and cone calorimetry, a material fire hazard evaluation index system and its weights are determined using the analytic hierarchy process (AHP). Subsequently, the experimental data are processed using an ideal solution method, and the relative similarity between the tested material and high fire hazard conditions is calculated. This data is then normalized and converted into a comprehensive fire hazard index score. This invention enables quantitative evaluation of material fire hazards and provides a theoretical basis for the selection of flame retardants and the optimization of material systems.

The invention provides a continuous flow dynamic titration calorimeter combining microfluidics and machine learning correction and a use method thereof, and the device comprises a heat preservation device which is used for placing a calorimetric structure, carrying out the heat preservation of the calorimetric structure, collecting the environment temperature of the calorimetric structure, and sending the environment temperature to a control and signal processing system; the calorimetric structure comprises a material preheating aluminum block and a constant-temperature aluminum block which are arranged left and right, a material inlet and outlet connector block A is arranged in a front groove of the material preheating aluminum block, a material inlet and outlet connector block B is arranged in a rear groove of the material preheating aluminum block, and a thermoelectric power generation piece A is arranged on the front portion of the constant-temperature aluminum block. A temperature difference power generation piece B is arranged on the rear portion of the constant-temperature aluminum block, and a film heating piece is arranged above the temperature difference power generation piece A. According to the technical scheme, the micro-fluidic technology, temperature difference power generation measurement and machine learning correction are integrated, and the continuous flow dynamic titration calorimetry method which is low in cost, small in size and high in precision is constructed.

The present invention provides a rapid extraction method for metabolic features based on the recognition and extraction of complete waveforms. By using a sliding window filtering method based on the number of breaths, filtering and noise reduction are carried out during measurement, the fluctuating curve is smoothed, abnormal fluctuations caused by external factor disturbances are filtered out, the wave peaks are identified, the complete waveforms are extracted, the mean differences of the complete waves are judged and the metabolic feature values are calculated. It is judged when to end the measurement according to the number of waveforms. After the measurement ends, the values of metabolic parameters including the respiratory quotient RQ and the resting energy expenditure REE are calculated based on all data points within two complete waveforms; the measurement of the metabolic parameters is based on indirect calorimetry, and the indirect calorimetry calculates the metabolic parameters by collecting the oxygen consumption VO2 and the carbon dioxide VCO2. The present invention can be used for the evaluation of human resting energy expenditure and the evaluation of the proportion of human glucose and lipid metabolism. It can personalize the measurement time based on the characteristics of human metabolic oscillations, and has the advantages of accurate measurement and short time consumption.

The present invention discloses a method and system for simulating minute mass changes during the preparation of a high-nickel cathode material. The method comprises the following steps: subdividing the two main reaction processes of the high-nickel cathode material based on chemical reaction mechanisms and expert knowledge; studying the precursor element and the lithium source LiOH·H2O element involved in the sintering process of the high-nickel cathode material based on the segmented results; obtaining the particle number variation pattern of each chemical substance based on the Arrhenius formula and reaction kinetics formula in combination with corresponding experimental data; studying the differences between the reaction processes of the element and the mixture based on data and information from non-isothermal thermogravimetric experiments and differential scanning calorimetry thermal analysis experiments; and finding the coupling parts between the reactions based on the differences between the two types of element reactions and the mixture reactions in combination with mechanism analysis; studying the coupling parts, and proposing a modeling method for the corresponding coupling parts based on experimental data and chemical mechanisms. The variation relationship of the reaction coupling parts at different heating rates is obtained, and a parameter identification method is used to solve the parameters within the functional relationship obtained for each reaction coupling part.

The invention discloses a method for analyzing and predicting the retarding performance of sulphoaluminate cement, and relates to the technical field of building materials, which comprises the following steps: characterizing the mineral composition of cement through XRF, screening out retarders such as boric acid or citric acid / sodium gluconate and the like, and testing the compatibility of the retarders with a water reducing agent and environmental factors; monitoring a hydration dynamic process and a slurry dispersion state by using an isothermal calorimetric method and Zeta potential; the setting time and strength are tested according to the national standard, and special verification is carried out for a negative temperature environment (sodium nitrite and dimethyl sulfoxide are compounded at the temperature of-10 DEG C, and the sand-cement ratio is 1: 1.5) and ocean engineering (the corrosion resistance coefficient K28 is required to be larger than 0.85, and the strength loss is smaller than 15%); microstructural analysis is carried out through XRD / SEM, and the morphology and pore change of ettringite are observed. The prediction method comprises the following steps: establishing a multiple linear regression empirical model based on an orthogonal test to predict the coagulation time; constructing a micro-mechanical model to accurately predict the low-temperature tensile strength; and adopting random forest algorithm machine learning to assist in optimizing retarder combination selection.

The application discloses a method for determining actual constant-pressure combustion temperature of solid propellant by a calorimetric method, and comprises the following steps: calculating the combustion efficiency of the propellant and an initial value of the actual constant-pressure combustion temperature; calculating the average value of the initial value of the actual constant-pressure combustion temperature and a theoretical constant-pressure combustion temperature, and calculating the first iteration combustion efficiency of the propellant; calculating the average value of the first iteration value of the actual constant-pressure combustion temperature and the theoretical constant-pressure combustion temperature, and calculating the second iteration combustion efficiency of the propellant; and the like until the residual error between the nth iteration combustion efficiency of the propellant and the combustion efficiency of the propellant is less than a predetermined value, and the combustion temperature corresponding to the nth iteration combustion efficiency of the propellant is taken as the actual constant-pressure combustion temperature. According to the correlation between the measured constant-pressure explosion heat value, the theoretical constant-pressure explosion heat value, the theoretical constant-pressure combustion temperature and the actual constant-pressure combustion temperature of the propellant, the actual constant-pressure combustion temperature of the propellant is measured by the calorimetric method and the iteration method.

The application belongs to the technical field of radionuclide measurement, and particularly relates to a constant-temperature high-precision radioactivity micro-heat device capable of rapid measurement, which comprises a high-precision constant-temperature unit and a rapid calorimetry unit. The high-precision constant-temperature unit comprises a shell, a constant-temperature water bath layer, an adiabatic layer and a temperature control layer, and is used for keeping a constant-temperature environment and reducing the influence of external environmental temperature fluctuation. The rapid calorimetry unit is located in the high-precision constant-temperature unit and comprises a calorimetry chamber and a calorimetry cup group and a thermocouple group arranged in the calorimetry chamber. The application adopts a double-cup type isothermal heat flow design to eliminate the fluctuation of parasitic potential, the refrigeration device can controllably adjust the cold end temperature, the adiabatic layer and the temperature control layer are arranged alternately to effectively improve the temperature control precision, the unique heat conduction insulation design between the calorimetry cup groups and the high-thermal-conductivity liquid strategy greatly reduce the heat balance time. The application has the characteristics of high-precision constant-temperature and rapid calorimetry, and is very suitable for precise measurement of medical isotope activity.

The present invention discloses a modeling method for a runaway mechanism model of benzene nitration reaction, comprising the following steps: performing a programmed temperature rise calorimetry test on a target benzene nitration reaction system to obtain all exothermic temperature ranges, heat release amounts during the runaway process of the benzene nitration reaction, as well as the reactant, intermediate and product information in each exothermic temperature range; according to the reactant, intermediate and product information in each exothermic temperature range, using reactive molecular dynamics simulation to obtain the reaction runaway path set and reaction mechanism in each exothermic temperature range; and adopting quantum chemical density functional theory calculation to analyze the reaction mechanism in each exothermic temperature range, determine the order of the runaway paths in the reaction runaway path set in each exothermic temperature range, and construct a reaction runaway mechanism model of the target benzene nitration reaction system. The present invention also discloses a modeling system for a runaway mechanism model of benzene nitration reaction. The present invention realizes the modeling of the runaway process of the target benzene nitration reaction system.

This invention relates to the field of space X-ray optics technology, specifically to a method for achieving calorimetric coaxial confocal focusing in X-ray optical systems. This method enables high-precision assembly of multi-layered nested X-ray focusing optical systems, effectively eliminating the thermal effects of temperature changes and meeting the application requirements under varying space temperature conditions. The invention utilizes a high-precision optical mold as a reference and employs a high-precision optical welding method to achieve high-precision coaxial confocal assembly of multi-layered nested X-ray focusing optical systems, effectively improving assembly efficiency and accuracy. Furthermore, by effectively matching the thermal expansion coefficients of the optical and supporting materials, the thermal effects of temperature changes in the X-ray optical system are effectively eliminated, ensuring its suitability for applications under varying space temperature conditions.

The invention discloses a lithium ion battery thermal characteristic parameter in-situ test method based on isothermal calorimetry. The invention aims to solve the problems of discrete measurement points, long consumed time and the like caused by offline measurement in the existing battery thermal characteristic parameter testing method. The method comprises the following steps: firstly, building a battery isothermal heat measuring device, and providing a thermal characteristic parameter in-situ test method according to an equivalent heat transfer model; secondly, carrying out a charge-discharge experiment on the battery by using a small-rate current, and successively superposing cosine modulation powers with different frequencies in the flexible heating sheets on the upper and lower sides to realize measurement of modulation heat flow in the charge-discharge process; and finally, performing fast Fourier transform, complex plane solution, model parameter identification and other means on the response voltage signal and the excitation current signal under the multi-frequency cosine modulation power to obtain thermal characteristic parameters such as thermal capacity and heat conductivity coefficient of the battery under the whole charge state distribution. According to the invention, the synchronous in-situ measurement of the charge-discharge heat production power, the heat capacity and the heat conductivity coefficient along with the change of the charge-discharge depth of the battery is realized.

This invention relates to the field of engineering thermophysical testing technology and discloses a method for measuring thermophysical parameters in the construction of a multi-phase model for the thawing of frozen coal in trains. The method first obtains the convective heat transfer coefficient of the train body surface as a function of the convective heat transfer coefficient and temperature through wind tunnel experiments and inversion using Newton's law of cooling. Second, it prepares standard frozen coal samples maintaining a multi-phase structure of ice, coal, and air using vacuum freezing sample preparation technology, and then uses a combination of laser flash calorimetry and differential scanning calorimetry to accurately measure the equivalent thermal conductivity, equivalent specific heat capacity, and latent heat of phase change of the frozen coal at low temperatures. Finally, it outputs a complete package of thermophysical parameters. This invention solves the problem of inaccurate thermophysical property measurements caused by the multi-phase characteristics of frozen coal, providing an accurate and reliable data foundation for constructing a high-fidelity thawing simulation model, and significantly improving the accuracy and reliability of simulation design.

The application discloses a kind of regularized constraint heat transfer coefficient dynamic determination method and system.The application introduces sine oscillation in jacket temperature, data is divided into sliding window;Linear model containing low-frequency term and simple harmonic term of the same frequency is constructed in window, and the energy balance equation is established by extracting the same frequency complex amplitude;Further, the least square target function with regularization term is constructed with the estimation value of the previous window as prior, and the non-negative constraint based on the interpolation of the boundary before and after reaction is applied, and the UA dynamic evaluation is realized by cyclic solution.The application effectively decouples non-steady-state drift and noise, suppresses numerical mutation, obtains smoother and more physical law heat transfer coefficient and heat release rate result, and significantly improves the robustness of complex reaction process calorimetry.

A method for thermal safety risk assessment of benzoic acid reduction reaction, comprising: performing thermal stability test on benzoic acid, reducing agent and catalyst; mixing the reducing agent with at least two candidate solvents and performing differential scanning calorimetry test to evaluate compatibility and screen target solvents, and then performing thermal analysis on the reaction liquid of the target system; using a full-automatic chemical synthesis reactor to carry out reaction calorimetry and gas release synchronous characterization, obtaining process data of feeding, heat release, temperature, heat conversion rate and gas, and calculating total heat release, specific heat release, adiabatic temperature rise and MTSR; using an adiabatic accelerating calorimeter to perform secondary decomposition test on the reaction completion liquid to determine Td24 and TMR ad ; comprehensively performing decomposition heat, severity, possibility, risk matrix and process hazard degree assessment, outputting acceptability conclusion and control suggestion; and determining and verifying the thermal stability of the product, realizing thermal safety assessment closed loop.

The invention discloses a liquid-phase organic reaction apparent dynamics modeling method based on a reaction calorimetry, and belongs to the technical field of chemical reaction engineering, and the method comprises the following steps: S10, obtaining a real-time reaction heat release rate in a reaction process, carrying out noise reduction processing on original heat flow data through a data smoothing algorithm, and obtaining concentration data of each component after each group of reaction is finished; s20, analyzing a reaction mechanism and a reaction path according to a reaction type, reaction conditions and reaction process characteristics; establishing a reaction kinetics ordinary differential equation set according to the target reaction formula; and S30, performing global search in the parameter space by taking the genetic algorithm as an optimization framework main body so as to search a parameter combination enabling the target function to be optimal, and obtaining a final optimization result. According to the method, accurate apparent kinetic parameters are obtained, and a model prediction result is highly matched with experimental data, so that a reliable theoretical basis is provided for reaction process optimization, amplification and safety control.

The invention discloses a dynamic evaluation method and system for a UHPC hydration heat regulation effect, particularly relates to the technical field of material thermophysical property testing, and is used for solving the problem of temperature rise curve distortion caused by heat loss compensation delay in the process of measuring UHPC violent hydration heat release by an existing adiabatic calorimetric method. The method comprises the following steps: generating a time-temperature sequence by collecting sample temperature data, obtaining a wavelet energy spectrum entropy sequence through continuous wavelet transform, analyzing a dynamic response relationship of temperature signals at different positions in a high heat release time period to obtain time delay characteristics, and comprehensively judging a temperature rise rate mutation time period according to characteristic mutation and delay characteristic change. And calculating a heat loss compensation deviation based on an actually measured temperature difference, and finally dynamically correcting a temperature sequence to generate an accurate hydration temperature rise curve. The method can effectively identify the measurement deviation caused by the response lag of the instrument, and improves the accuracy and reliability of the hydration heat evaluation result.

This invention discloses a chemical reaction pattern recognition method based on the combined use of infrared spectroscopy and reaction calorimetry. This invention establishes kinetic models for different reaction types based on reaction kinetics principles, improving pattern recognition accuracy and model interpretability while generating massive amounts of infrared spectral and reaction calorimetric data. This avoids experimental costs and time expenditure, providing effective data support for the study of reaction kinetics principles. This invention sets up independent encoders to extract key features for each modality, and further employs a Transformer architecture to achieve cross-modal collaborative perception. Based on deep feature fusion, modal task weight vectors and modal input confidence vectors are generated simultaneously. From the perspectives of the global task and the current sample, the contribution of each modality and the real-time reliability of the input data are evaluated, achieving accurate identification and classification of chemical reaction patterns.

The invention discloses a calorimetric method-based short-circuit molten bead energy measurement method, which comprises the following steps of S1, adding a liquid heat exchange working medium with a preset mass into a measurement container, and measuring the initial temperature of the heat exchange working medium; s2, placing the short-circuit molten beads in a measuring container, ensuring that the molten beads are completely immersed by the heat exchange working medium, and measuring the final temperature and the final mass of the heat exchange working medium; s3, the molten beads are taken out, the heat exchange working medium on the surfaces of the molten beads is cleaned, and the mass of the molten beads is measured; and S4, the energy of the molten beads is calculated by calculating the gasification heat absorption capacity and the temperature rise heat absorption capacity of the heat exchange working medium. Meanwhile, the invention provides a measuring device adopted by the short-circuit molten bead energy measuring method, and the measuring device comprises a heat insulation measuring container, a liquid heat exchange working medium, a stirring device, a temperature sensor, a mass sensor and a measuring device support. According to the invention, the energy of the high-temperature short-circuit molten bead can be directly and accurately measured.

The invention relates to the technical field of heat-insulating heat, in particular to a heat-insulating heat sample cell structure for a multi-phase multi-component sample and a testing method. The invention aims to solve the problems that the existing multiphase multicomponent sample is difficult to test, the temperature field in the sample cell is uneven, the gas introduction and collection are uncontrollable, the measurement and control system has deviation and the like. The device is composed of a dumbbell-shaped sample cell structure, an independent heating wire assembly, a gas pipeline system and an intelligent measurement and control system. The dumbbell-shaped sample cell expands the internal space and solves the problem of testing multiphase and multicomponent samples; the independent heating wire assembly is wound on two sides of the sample cell and can independently heat and control temperature, compensate heat loss and solve the problem of uneven temperature field; the gas pipeline system is communicated with the sample pool, so that phase medium separation and gas controllable introduction and collection are realized; the intelligent measurement and control system regulates and controls the whole measurement and control system and provides data support and safety guarantee for testing.

The invention discloses an experimental device for measuring the specific heat capacity of a solid through a calorimetric method. The experimental device comprises a movable base, a double-shaft stirring mechanism, a lifting mechanism, a rotary driving assembly and a steel ball heating mechanism. A box body and a control system are mounted on the movable base, and a feeding hopper and a temperature sensor are mounted on the box body; the double-shaft stirring mechanism is mounted in the box body; the lifting mechanism is mounted on the movable base, and a lifting seat is mounted at the lifting end of the lifting mechanism; the rotation driving assembly is installed on the lifting base, and a support is installed at the output end of the rotation driving assembly. The steel ball heating mechanism is installed on the support, and a discharging assembly is installed at the bottom of the steel ball heating mechanism. Wherein the discharging assembly, the steel ball heating mechanism, the rotary driving assembly, the lifting mechanism, the double-shaft stirring mechanism and the temperature sensor are all electrically connected with the control system. According to the invention, automatic discharging and efficient mixing can be realized, the heat transfer process is accelerated, and the working efficiency and the experiment effect are improved.

The present invention relates to a method and system for predicting human metabolic rate based on indoor and outdoor air composition, which obtains the fresh air volume entering the indoor space, the number of people in the indoor space, and the height and weight corresponding to each person; obtains the concentration of a set gas, air temperature, and atmospheric pressure in the indoor and outdoor environments; converts the concentration of the set gas through unit conversion, and combines it with the air temperature, atmospheric pressure, and molecular weight of the set gas to obtain the density of the set gas. Based on the indoor pollutant diffusion equation, the production rate of the set gas by the human body in the indoor space is obtained and corrected to a value under standard conditions; according to the height and weight corresponding to the person, the body surface area of each person is obtained, and using the production rate and respiratory quotient of the set gas under standard conditions, the metabolic rate is determined based on the indirect calorimetry method, and after time-phase correction, the final human metabolic rate is obtained.

This invention discloses a method for predicting the temperature field and crack resistance of large-volume concrete. Firstly, this invention establishes a method for calculating the heat source function based on isothermal calorimetry combined with the exothermic reaction of cementitious materials and the Arrhenius equation, thus improving the calculation process for the temperature field of large-volume concrete. Furthermore, previous studies mostly relied on solving the strain field based on the degree of hydration, but the degree of hydration cannot be accurately calculated; this problem can be solved by using maturity theory. Compared with traditional methods, this invention can more accurately predict the temperature and strain development of large-volume concrete, improving temperature prediction accuracy by 5%–52% and strain prediction accuracy by 18%–43%.