403 results about "Accelerated aging" patented technology

The invention discloses a cable insulation life prediction method and system based on LSTM accelerated aging mapping, and relates to the technical field of submarine cable insulation life prediction. The existing method has the defects of insufficient multi-stress nonlinear modeling, laboratory and field data separation, difficulty in small sample modeling and the like, and the insulation life of the submarine cable is difficult to accurately predict. The method comprises the following steps: data acquisition: acquiring parameters of insulation electrical performance, physical and chemical performance and mechanical performance under an accelerated aging condition; carrying out data preprocessing: carrying out homodromous processing on the inverse indexes, improving box plot denoising, filling missing data with a space-time K nearest neighbor algorithm, and carrying out normalization; constructing an LSTM model: embedding a dielectric constant differential equation as a physical constraint, and introducing an index weight; and model training and evaluation: adopting five-fold cross validation, and quantizing prediction precision through mean square errors and decision coefficients. According to the technical scheme, the prediction precision is improved, the fault risk caused by insulation aging is reduced, the maintenance cost is reduced, and the reliability of the ocean energy transmission system is improved.

The invention discloses a submarine cable insulation multi-field aging prediction method and system, and relates to the technical field of material science and engineering. An existing model has the problems that parameter interaction effect analysis is insufficient, feature weight distribution is not scientific, a data standardization method is insufficient, and the capacity of capturing dynamic response and nonlinear aging behaviors is weak. The method comprises the steps of multi-physics field accelerated aging experiment design and data acquisition, key characteristic parameter screening through grey correlation analysis, support vector machine modeling and optimization, dynamic aging behavior evaluation and service life prediction and feedback adjustment. According to the technical scheme, aging behaviors are comprehensively captured through a multi-physics field cooperation experiment, key parameters are scientifically screened in combination with grey correlation analysis, a nonlinear relation is optimized through support vector machine modeling, long-term prediction precision is improved through dynamic feedback adjustment, and reliability is enhanced through quantitative life evaluation; the aging characteristics of the submarine cable insulating material in multiple physical fields are comprehensively and accurately reflected, and a scientific basis is provided for multi-dimensional evaluation of the aging performance of a high polymer material.

The invention provides a high polymer material performance prediction method based on deep learning, and relates to the technical field of material performance prediction.The method comprises the specific steps that variable parameters influencing high polymer material performance are determined, multiple sets of samples are prepared and subjected to a tensile test and an accelerated aging test, and initial and final tensile performance parameters are obtained; and constructing and training an initial performance prediction model and an aging performance prediction model based on a deep learning network model, inputting related parameters into the models to obtain performance parameters, generating an environment severe coefficient through data processing, calculating a performance evaluation index in combination with a tensile performance parameter variation, and comparing the performance evaluation index with a preset threshold value to evaluate the material performance. According to the method, the performance change of the aged material can be accurately predicted, the performance evolution can be reflected, the prediction result is closer to reality, the material performance can be comprehensively evaluated, and an effective reference and a scientific basis are provided for long-term use, selection and application of the material.

The invention relates to the technical field of semiconductor photoelectronics, and discloses a multi-physics field coupling silicon-based optical interconnection chip degradation model construction method and application, and the method comprises the steps: firstly constructing a multi-physics field coupling analysis model, and quantitatively representing the coupling relation of thermodynamics, optics, electricity and material aging through an inter-field coupling equation and a material aging dynamic model; simulating field distribution of a chip key area under multi-environment stress through finite element analysis, and extracting data; then historical degradation data is collected by combining an accelerated aging test and long-term operation monitoring, and a degradation parameter prediction model is established after data processing based on machine learning; and finally, inputting a finite element result and a prediction result into a material aging dynamic model, and finally forming a multi-physics field coupling degradation model. The problems that the prior art depends on a single physical field, degradation mechanism analysis is incomplete, and service life evaluation is inaccurate are solved, and support can be provided for reliability evaluation, structure optimization and service life prediction of the silicon-based optical interconnection chip.

The invention provides a plywood weather resistance accelerated aging test device and test method, and belongs to the technical field of aging test equipment. The testing device comprises a supporting table and a testing box fixedly installed at the top of the supporting table, a rotary supporting mechanism is arranged in the testing box and used for positioning the plywood and adjusting the rotation angle of the plywood in the horizontal plane, and two waxing mechanisms are further arranged in the testing box and used for waxing the plywood in the horizontal plane. The two waxing mechanisms are used for conducting edge sealing treatment on the plywood. The testing method comprises the following steps: T2, placing the plywood on a positioning carrier plate on the rotary supporting mechanism to complete positioning; and T3, the plywood is fixed through a pressing mechanism. The plywood weatherability accelerated aging test device provided by the invention has the advantages that the plywood is automatically subjected to edge sealing and waxing, the human input can be reduced, and the reliability and integrity of wax layer coating can be improved.

The invention discloses a panel vertical seam water stop structure repair effect evaluation method, which comprises the following steps of: firstly, synchronously obtaining surface crack and internal defect data through cooperative detection of infrared thermal imaging and ultrasonic flaw detection; and carrying out space alignment on point cloud data generated by three-dimensional laser scanning and an ultrasonic detection result, and establishing a BIM model containing a crack three-dimensional form. A practical engineering environment is simulated in a laboratory to carry out material accelerated aging and test key indexes such as an elastic recovery rate, a base surface state is evaluated through a temperature and humidity sensor array in a construction stage, a six-axis grouting robot is adopted to execute accurate filling, a curing process is monitored by a synchronous pre-embedded optical fiber sensor, and after aging is simulated by combining a hydraulic test with climate, a construction period is shortened. A distributed optical fiber network is used for continuously collecting deformation data, a comprehensive evaluation model is constructed based on mechanics, durability and sealing indexes, and finally material selection and process parameters are optimized through machine learning.

The invention provides a damp heat-oxygen-internal pressure-load coupled non-metal pipeline aging device and a method capable of evaluating the service life of an in-service non-metal pipeline. The non-metal pipeline aging device comprises six parts, namely an inner cavity, a box body temperature control system, a box body humidity control system, a pipeline internal pressure control system, a pipeline external load loading device and an air supply circulating system, and an accelerated aging test of a non-metal pipeline under different working condition combinations of four factors, namely damp heat, oxygen, internal pressure and load can be carried out by virtue of the aging device. Measuring oxidation induction periods before and after aging of the in-service non-metal pipeline and the non-metal pipeline with the same mark through a differential heat scanning method, substituting the oxidation induction periods into a non-metal pipeline aging life prediction formula coupled with damp heat-oxygen-internal pressure-load factors, and calculating to obtain the service aging life. According to the method, damp heat-oxygen-internal pressure-external load multi-factor coupling is realized, so that an actual service environment is accurately simulated, and comprehensive technical support can be provided for safe operation of the non-metal pipeline.

The invention relates to the technical field of titanium dioxide, and discloses a preparation process of oil paint core-coated titanium dioxide, which comprises the following steps: a core layer is rutile type titanium dioxide particles with the particle size range of 0.1-0.5 mu m and the specific surface area of 8-15m < 2 > / g, an inorganic coating layer is composed of silicon dioxide and aluminum oxide according to the mass ratio of 1: (0.2-1.5), the coating thickness is 5-15% of the diameter of the core layer, and the inorganic coating layer is composed of silicon dioxide and aluminum oxide according to the mass ratio of 1: (0.2-1.5). Wherein the silicon dioxide is coated by a hydrolytic deposition method, the aluminum oxide is coated by a sol-gel method, the organic coating layer comprises a copolymer containing a silane coupling agent and organic silicon resin, the organic silicon resin is methyl phenyl silicon resin, the organic coating layer accounts for 1-8% of the total mass of the titanium dioxide, and the surface contact angle of the organic coating layer is greater than or equal to 110 degrees. According to the preparation process of the oil paint core-coated titanium dioxide, an inorganic-organic gradient coating system is constructed, so that the core-coated titanium dioxide has a gloss retention rate of more than 95% (ASTM D523) and a delta E color difference of less than 1.5 (ISO 7724) after 1000 hours in a QUV accelerated aging test, and the weather resistance of the core-coated titanium dioxide is improved by more than 3 times compared with that of the traditional titanium dioxide.

The invention discloses a permanent magnet synchronous motor failure monitoring method, system and equipment for a space environment, and relates to the technical field of motor fault monitoring, and the method comprises the steps: constructing a simulation space environment experiment module, carrying out the accelerated aging experiment of a permanent magnet synchronous motor, and obtaining multi-dimensional degradation data; performing material performance evaluation on the permanent magnet synchronous motor, determining a material performance degradation result, performing failure analysis, and constructing a space environment failure feature library; and monitoring a motor operation parameter set of the permanent magnet synchronous motor in real time, determining an abnormal mode, and making a failure maintenance suggestion. The technical problems that in the prior art, the failure condition of the permanent magnet synchronous motor in the space environment cannot be accurately monitored, the reliability of the motor in the space environment is poor, and the operation stability is insufficient are solved, the failure condition of the permanent magnet synchronous motor is accurately monitored, and the reliability of the motor is improved. And the reliability and the operation stability of the permanent magnet synchronous motor in a space environment are improved.

The invention relates to a carbon capture absorbent degradation performance evaluation method and a determination device, the method comprises the following steps: accelerating aging degradation of a to-be-detected sample under high pressure oxygen and heating conditions, simulating the oxidation process of an absorbent in long-term operation, and shortening the experimental period; in the test process, the pressure and temperature of the reaction kettle are automatically collected, a pressure-time curve is established, and the degradation resistance of the sample is comprehensively judged according to the pressure drop rate and inflection point time. The method for evaluating the degradation performance of the carbon capture absorbent can be used for rapidly and comprehensively evaluating the sample, and meanwhile, the degradation degree can be analyzed and judged without the help of high-end equipment such as cation chromatography and gas chromatography, so that the method is convenient and efficient; the method is particularly suitable for testing and optimizing the oxidation resistance of novel absorbents such as composite absorbents and phase change absorbents.

The invention discloses a sealing structure for a test, and an aging test and leakage rate detection method and system. The sealing structure comprises a tested sealing assembly and an air cavity assembly integrated in the tested sealing assembly, and serialized test samples with different filling rates and compression rates are formed by regulating and controlling the groove width and the groove depth of a sealing ring mounting groove so as to simulate various actual sealing states. An aging test adopts a multi-factor coupling accelerated aging method, and a plurality of material characterization means are combined to systematically evaluate the evolution rule of the sealing performance. According to leakage rate detection, static pressure maintaining and dynamic pressure adjusting dual-mode measurement is achieved through an air tightness detector, and the sealing characteristics under different pressure conditions are comprehensively reflected. According to the invention, direct and systematic detection of the leakage rate of the sealing structure is realized, and an innovative solution is provided for sealing performance evaluation and service life prediction of electrical equipment.

The application relates to the technical field of material testing, and relates to a high polymer material testing method and system based on image analysis, which comprises the following steps: collecting images of high polymer materials to obtain high polymer material images, performing pretreatment operations to obtain pretreated material images, identifying a defect region set in the pretreated material images, performing feature extraction on the defect regions to obtain defect region parameters, comparing the defect region parameters with defect thresholds to obtain defect deviation values, judging the defect conditions of the defect regions, confirming the high polymer materials as preliminary qualified materials if all the defect conditions are acceptable defects, performing accelerated aging tests to obtain aging test materials, performing image detection on the aging test materials to obtain detected defect regions, comparing the defect regions with the detected defect regions to obtain defect region expansion values, and obtaining material detection results. The application can solve the problem of low testing result accuracy in the current high polymer material testing process.

The invention discloses an accelerated aging test system for an intelligent electric meter in a composite environment, which relates to the field of aging test and comprises a data acquisition module, a power evaluation module, a battery evaluation module, a communication evaluation module, a fusion module and an environment-scheme matching module. The data acquisition module is used for generating a test data set, performing accelerated aging on the intelligent electric meter and acquiring aging data at the same time; the power evaluation module, the battery evaluation module and the general storage evaluation module respectively analyze the related data to obtain a power index, an electric quantity index and a general storage index; the fusion module obtains a test aging index; the environment-scheme matching module collects environment data of the target intelligent electric meter, and the environment data is matched with the test data set after being processed and converted to obtain an actual aging index of the target intelligent electric meter; compared with a traditional single stress test method, the scheme comprehensively considers multiple factors, and improves the accuracy of judging the aging degree of the intelligent electric meter.

The invention discloses a production process of a new energy automobile power battery cooling liquid with wide temperature range performance, and belongs to the technical field of battery anti-freezing solutions, and the production process specifically comprises the following steps: (1) raw material selection and pretreatment; (2) mixing reaction; (3) filtering and purifying; (4) performance detection and adjustment; and (5) packaging and storing. The cooling liquid disclosed by the invention has excellent wide temperature range performance, and can meet the use requirements of a new energy automobile power battery under an extreme temperature condition. And through verification of a long-term cycle test and an accelerated aging test, it is ensured that the performance of the cooling liquid is stable in the long-term operation process. All the raw materials are strictly treated, and the additive is selected from a high-performance and low-toxicity chemical reagent, so that the environment-friendly requirement is met. The preparation process is simple and efficient, industrial production is easy to realize, and the preparation method has wide market application prospects.

The invention provides a method and device for evaluating weather resistance of a high polymer material, and relates to the technical field of aging tests of materials, and the method comprises the following specific steps: selecting a high polymer material sample to carry out an accelerated aging test, and obtaining accelerated aging conditions, mechanical property changes and appearance changes of different time periods according to a plurality of time periods; according to the method, the accelerated aging conditions in all time periods are averaged, correlation analysis is carried out, a plurality of environment severe coefficients are generated, the mechanical property changes in the adjacent time periods and the corresponding environment severe coefficients are calculated, different weather resistance coefficients are obtained, and the weather resistance of the material is comprehensively evaluated by comparing the different weather resistance coefficients with a preset threshold value. According to the method, the performance change of the material in the aging process is reflected from multiple aspects, so that the weather resistance evaluation is more comprehensive and truly matched with the performance of the material in actual use, the influence of each factor on the weather resistance of the high polymer material can be more accurately evaluated, and a more accurate basis is provided for the weather resistance evaluation.

The invention provides a long-time scale solid surface aging characteristic analysis method and system and electronic equipment, and relates to the technical field of insulation material aging. The method comprises the following steps: preparing a material sample; preparing a solid material sample with good anti-aging performance under a specific working condition according to a material chemical theory and experience; obtaining a solid surface appearance by a high-precision microscope; carrying out accelerated aging on the material at a constant temperature for a certain time; solid surface features including roughness and fractal indexes under different accelerated aging time are extracted, edge curvilinear equation fitting is carried out, and an aging feature curve is generated, so that an aging behavior prediction result is obtained, continuous monitoring and accurate analysis of the solid surface aging process are realized, and the aging behavior prediction accuracy is improved. Through continuous monitoring of the multi-time-node accelerated aging experiment, aging full-period coverage and multi-dimensional data fusion are realized, data accuracy and aging identification precision are improved, and aging behavior prediction precision is improved.

The invention relates to the technical field of tire evaluation, in particular to a method for evaluating the aging loss performance of a rubber engineering tire. The method comprises the following steps: determining tire attributes according to a tire vulcanization process database; constructing a multi-environment composite accelerated aging oven based on the tire vulcanization process database; segmenting a tire sample according to the tire attribute, inputting the tire sample into the multi-environment composite accelerated aging oven, and simulating accelerated aging; sampling according to a preset time interval to obtain an aging simulation result; determining a performance attenuation curve of each tire sample according to the aging simulation result; inputting the performance attenuation curve into an Arrhenius equation, and determining key failure time; and determining the tire performance according to the key failure time and the tire attribute.

The invention provides a simulated aging test method for an antifouling coating. The simulated aging test method comprises the following steps: S1, constructing a natural aging performance model of the antifouling coating; s2, constructing an accelerated aging model of the antifouling coating and acquiring an acceleration ratio N of natural aging to accelerated aging; s3, based on an accelerated aging model, acquiring an acceleration period Mi corresponding to a critical threshold R (temporary i) of a copper ion exudation rate, wherein the predicted life Lp (temporary i) of the antifouling coating is equal to Mi * N; and S4, based on a natural aging model, obtaining a predicted copper ion exudation rate R < pre-i > corresponding to the predicted life Lp < pre->, judging whether R < pre-i >-R < critical i > / R < critical i > is less than or equal to 10%, if so, outputting a near threshold R < critical i > and the predicted life Lp < pre-i >, and if not, adjusting the critical threshold of the copper ion exudation rate to R < critical i + 1 > and returning to the step S3. According to the method, the performance failure threshold value of the antifouling coating is taken as a boundary condition, the performance of the antifouling coating is rapidly evaluated, the service life of the antifouling coating is quantitatively predicted, the prediction result is subjected to cooperative cross validation through linkage double models, and the reliability is improved.

The invention discloses a life health management method and system for an HR3C material, and relates to the technical field of data processing, and the method comprises the steps: collecting the operation condition data of the HR3C material in a service state, carrying out the creep, fatigue and creep-fatigue interaction performance testing of a welding seam and a heat affected zone, and obtaining the real-time service state data; combining a high-temperature accelerated aging test result to construct a structure-performance coupling model; and performing microscopic damage calculation and residual life prediction based on the organization-performance coupling model and the real-time service state data, and generating a health assessment index to execute health management. The technical problems that in the prior art, damage evolution of the HR3C material under the complex high-temperature working condition cannot be accurately evaluated in real time, and the service life prediction and health management precision is insufficient are solved, and the purposes that through performance coupling analysis and aging process feedback under the multiple working conditions, microcosmic damage is accurately evaluated, and the remaining service life is dynamically predicted are achieved. And the health management precision is improved.

The invention relates to an environmental test box for realizing high and low temperature rapid alternating circulation, which is mainly applied to the technical field of environmental test equipment. The test box is provided with a high-temperature chamber and a low-temperature chamber which are independent from each other, a thermal insulation layer is arranged between the two chambers, and the test box can respectively keep constant temperature environments at the highest temperature of + 75 DEG C and the lowest temperature of-50 DEG C; during a test, a sample is placed in the test bed, and the rotating shaft structure driven by the motor periodically rotates in a reciprocating manner or rotates in the same direction among different temperature zones, so that high-low temperature rapid alternating circulation is realized. The operation mode of the motor is controlled through the control system so as to simulate the accelerated aging process of the component in the temperature rapid alternating environment. According to the test box, through the design of the control system, the forced convection fan and the middle thermal insulation layer, it is guaranteed that the temperature switching process is rapid, uniform and stable. Compared with the prior art, high and low temperature circulation can be completed without overall heating and cooling of the interior of the test box, and the test box has the advantages of being high in test efficiency, capable of remarkably improving the reliability and accuracy of the high and low temperature alternating circulation test of the sample and the like.

The invention relates to the technical field of aging test, in particular to a multi-factor coupling accelerated aging test system, which has the technical scheme that actual working condition fluctuation is simulated through multi-factor coupling accelerated aging, multiple parameters such as temperature, humidity, illumination, mechanical stress and chemical media are controlled at the same time, dynamic cyclic change is realized, simplification of simulation influence factors is avoided, and the test efficiency is improved. The deviation to a real environment is reduced; a miniature temperature sensor, a strain sensor and an electrochemical impedance sensor are integrated on the surface of the sample, so that nondestructive continuous acquisition of performance parameters in the aging process is realized; a central control module is used for artificial intelligence life prediction, an aging model is dynamically corrected by using a machine learning algorithm based on real-time collected data and a historical database, residual life probability prediction is realized, and prediction precision is improved according to an AI dynamic correction model.

The invention relates to the technical field of quality analysis of plastic packaging materials, and particularly discloses a quality analysis method of a plastic packaging product, which comprises the following steps of: acquiring chemical composition information of a target material by adopting Fourier transform infrared spectroscopy and thermogravimetric analysis, and constructing an atomic-scale three-dimensional molecular model on the basis of polymer types and auxiliary ratio; auxiliary agent diffusion behaviors are simulated and tracked through molecular dynamics, and key transmission parameters are obtained; importing the parameters into a finite element model, establishing a multi-physics field coupling migration simulation model, and simulating the migration trends of the assistants under different environmental conditions; establishing a quantitative correlation model to predict the long-term stability of the material by combining accelerated aging experiment data; according to the method, the prediction precision of the service life and the function stability of the plastic packaging material is improved, the research and development cost is reduced, and the product quality consistency and the market competitiveness are improved.

The invention relates to the technical field of aging test, and discloses a laser chip accelerated aging test method, which comprises the following steps: synchronously measuring the optical power, the threshold current, the slope efficiency and the emergent wavelength of a laser chip in an accelerated aging environment to obtain a time sequence data matrix; performing double sparse dictionary decomposition on the time series data matrix to obtain a normal feature coefficient and a degradation feature coefficient; calculating a target characteristic value of the time-varying covariance matrix based on the degradation characteristic coefficient, and generating a dynamic characteristic value sequence and a corresponding degradation stage identifier according to the target characteristic value; and based on the degradation stage identifier, inputting the dynamic characteristic value sequence into a life prediction model for life prediction, and obtaining the remaining service life. The method can accurately capture the nonlinear characteristic and the time evolution mode of the laser chip degradation process, automatically identify the time period characteristic which contributes to life prediction, and improve the service life of the laser chip. And the accelerated aging test accuracy of the laser chip is improved.

The invention relates to a P91 pipeline aging prediction method, and belongs to the field of P91 pipeline aging prediction. The method comprises the following steps: acquiring a micro-magnetic signal (such as Barkhausen noise) of a P91 pipeline through a micro-magnetic detector, and extracting characteristic parameters related to an aging state; and inputting the parameters into a pre-trained aging grade prediction model, and directly outputting the aging grade (1-5 grade) of the pipeline. The prediction model is constructed based on a machine learning algorithm (such as ReliefF feature selection and a BP neural network), and training data comes from an accelerated aging sample which is simulated through specific heat treatment and has a clear microstructure (represented by EBSD) and macromechanical property correlation. According to the method, rapid, lossless and quantitative prediction of the aging state of the P91 pipeline is realized, and a reliable basis is provided for safety assessment and residual life prediction of the in-service pipeline.

The invention discloses a highly-integrated miniature intelligent fuse module and a preparation process thereof, and the process comprises the steps: carrying out the high-frequency electromagnetic disturbance detection of a fusing element and a temperature sensor interface region, obtaining an electromagnetic response fingerprint, and determining an interface defect suspected point distribution diagram; micro-pulse thermal excitation is applied to the fuse element, a thermal pulse propagation process and sensor response are captured, and an interface thermal resistance distribution diagram is generated; carrying out acoustic microscopic analysis on the thermal resistance abnormal region to generate an interface defect fine classification graph; performing an electric-thermal transient response collaborative test on the fuse module to obtain a performance parameter test result; and performing targeted accelerated aging treatment on different types of interface defect samples, periodically detecting in the aging process, and determining a quality grade and a reliability prediction result. According to the method, the defects of the interface area of the intelligent fuse module are recognized and represented, the incidence relation between defect characteristics and function influences is established, the long-term reliability of products is effectively evaluated, and the quality control level of the products is remarkably improved.

The invention discloses a method for evaluating the residual life of an electrical component under the influence of stress fluctuation, and the method comprises the steps: firstly, obtaining the initial state information of the electrical component, including characteristic parameters and initial values thereof; then, a static artificial accelerated aging corrosion test is carried out, and the change value of the characteristic parameters along with time is obtained; based on the change values, the basic weight of each characteristic parameter is determined. And establishing a function relation between the characteristic parameters and time, and describing the aging process. An Arrhenius model is used to calculate an acceleration factor, and the model is adjusted to adapt to different temperature conditions. And obtaining a characteristic parameter degradation model according to the acceleration factor and the function relation. And when the electrical component is only influenced by the environmental stress fluctuation, further establishing a degradation model considering the influence. Finally, according to the operation state of the electrical component, the residual life is evaluated by using a corresponding model, and a scientific basis is provided for maintenance and management. According to the method, various factors are comprehensively considered, the evaluation accuracy is improved, and the system reliability and safety are ensured.

The invention relates to a test method for evaluating the service life of a pump laser for hundred milliwatt-level submarine optical communication, and belongs to the technical field of pump lasers for optical communication. The overall thought of the invention is as follows: as the chip is a weak link restricting the service life of the pump laser, the activation energy and the current acceleration factor in a chip service life model are approximately equal to the activation energy and the current acceleration factor in a service life model of a module; therefore, multiple groups of accelerated aging life tests of the chip under different conditions are utilized to replace accelerated aging tests of multiple groups of modules, activation energy and current acceleration factors in the life model are obtained, and the test difficulty and cost are greatly reduced. Besides, a method of simultaneous acceleration under various conditions is adopted in the life model, for example, temperature acceleration and current acceleration are carried out at the same time, the number of samples is increased, and the test time can be reduced from 8000-5000h to 4000-2000h. The test method can greatly save cost and time, and provides a thought for evaluating the service life of the product more conveniently and quickly in the stages of product pre-research, prototype sample and the like.

The invention discloses an SBS (styrene butadiene styrene) modified asphalt aging performance evaluation method, a prediction model and application, relates to a construction method of an SBS modified asphalt aging performance evaluation and prediction model based on multi-scale aging evaluation indexes, and aims to solve the problems that aging evaluation depends on a single-scale index and the prediction precision is insufficient in the prior art. The model is verified by accelerated aging data in a laboratory, the thermo-oxidative aging error is less than or equal to 9.4%, and the ultraviolet aging error is less than or equal to 7.5%. Engineering application: providing road maintenance period suggestions (for example, when the aging time is predicted to be 5 years, detection is recommended once every two years); triggering a material replacement threshold value when the number of honeycomb structures drops to 60% of the initial value; the performance recovery is realized by compounding the new asphalt and the regenerant (the mixing amount is 10-15%). Through multi-scale index collaborative analysis and data modeling, the aging prediction precision is significantly improved, and a scientific basis is provided for asphalt material life evaluation and road maintenance decision.

The invention discloses an anti-aging prediction method and system for an automobile paint surface protective film based on microelement analysis, and relates to the technical field of anti-aging evaluation of bonding materials, and the method comprises the steps: based on the automobile paint surface protective film, arranging a microcell spectrum probe array, and setting a multi-spectrum cooperative detection coordinate system; constructing a dynamic material degradation characteristic spectrum; meanwhile, a dynamic environment simulation cabin is configured, and an accelerated aging data set is obtained; and simulating a quantitative relation between a micro-element migration track and a mechanical property degradation rule, and carrying out cross-scale reverse prediction on the residual service life of the automobile paint surface protection film. According to the method, the technical problems that in the prior art, the micro element valence state distribution of the automobile paint surface protection film is difficult to accurately analyze, the residual service life prediction lacks a cross-scale analysis means, and the aging prediction accuracy is insufficient are solved, the micro element valence state distribution analysis of the automobile paint surface protection film and the cross-scale reverse prediction of the residual service life are realized, and the aging prediction accuracy is improved. And the aging prediction accuracy of the protective film is improved.

The invention belongs to the field of polyester resins, and provides a weather-resistant polyester resin for low-temperature curing and a preparation method thereof. A three-step progressive design that a polyester prepolymer is terminated by silane and then is subjected to hydrolytic polycondensation with tetraethyl orthosilicate to construct an organic-inorganic covalent hybrid network is adopted; through cooperation of the condensation catalyst, the hindered amine light stabilizer and the ultraviolet absorbent, the mechanical properties that the pencil hardness reaches the HB level or above and the cross-cut test level is not higher than the first level under the low-temperature curing condition of not higher than 100 DEG C are achieved, and the long-term weather resistance that the color difference is not larger than 2.0 and the gloss retention rate is not lower than 80% after 500-hour artificial accelerated aging is achieved. The technical problems of poor storage stability and difficulty in consideration of high solid content and low viscosity caused by insufficient low-temperature curing capacity and non-uniform organic-inorganic hybridization of the traditional polyester resin are solved, and the polyester resin has wide application value in the fields of building coatings, automobile refinishing paints, wood coatings and the like with strict requirements on low-temperature curing and weather resistance.