608 results about "Degradation process" patented technology

A data-driven lithium ion battery cycle life prediction method based on an AR (Autoregressive) model and an RPF (Regularized Particle Filtering) algorithm relates to a lithium ion battery cycle life prediction method and belongs to the technical field of data prediction. The invention solves the problems in the existing lithium ion battery cycle life prediction method that the model-based prediction method is complicated in modeling, and parameters are difficult to identify. The data-driven lithium ion battery cycle life prediction method combines time sequence analysis with particle filter method and comprises the following steps: the AR model is firstly utilized to realize the multi-step prediction on battery performance degradation process time sequence data; and then, aiming at the problem of uncertainty expression of the cycle life prediction result, the regularized particle filtering method is introduced, and a lithium ion battery cycle life prediction method framework is proposed. The method proposed by the invention can be used for effectively predicating the cycle life of a lithium ion battery and realizes the output of probability density distribution of the predication result, has good computational efficiency and uncertainty expression ability.

The invention discloses a method for predicting service life of a product by an accelerated degradation testing based on degradation distribution non-stationary time series analysis. The method comprises the following steps of: 1, acquisition and preprocessing of test data; 2, parameter estimation of degradation distribution; 3, time series modeling of degradation distribution parameters; 4, accelerated degradation modeling based on the degradation distribution; and 5, service life prediction based on degradation distribution. The method can macroscopically describe degradation statistical regulation of all samples under accelerated stress, overall analyze the time series of the degradation distribution in an accelerated degradation process, can extrapolate the degradation distribution under the accelerated stress to normal stress to obtain product reliability reflecting the product accelerated degradation random process volatility regulation and service life relationship prediction, improve the credibility on estimation result of service life prediction and reliability, and save more time and is more efficient compared with performance degradation prediction under normal stress level.

The present invention discloses a regeneration type artificial blood vessel based on an in-situ self stem cell technology and a preparation method thereof. The artificial blood vessel is a structure composed of at least three connected bionic support layers, wherein the bionic support layer is prepared by nanometer bionic supports and hydrosol attached to the nanometer bionic supports; the structure is a concentric circle loop and has an inner layer, an insulating layer and an outer layer outwards; the hydrosol of the inner layer and the outer layer are packaged with one or more specificity antibodies and / or cytokines and / or adhered short peptides and / or medicaments. The preparation method includes preparing the inner layer by an electrostatic spinning; preparing the insulating layer on an external surface of the inner layer; preparing the outer layer on an external surface of the insulating layer. The artificial blood vessel of the invention may be degraded safely and automatically during a wound surface repair process, and defect blood vessel is repaired completely during the degradation process, thus a regenerative process and a normal differentiation process are identical, and a good repairing effect will be obtained.

The present invention is directed to a number of improvements in methods for hot-carrier device degradation modeling and extraction. Several improvements are presented for the improvement of building device degradation models, including allowing the user to select a device parameter used to build the device degradation model independent of the device parameter selected. The user can also select the functional relation between stress time and degradation level. To further improve accuracy, multiple acceleration parameters can be used to account for different regions of the degradation process. Analytical functions may be used to represent aged device model parameters, either directly or by fitting measured device parameters versus device age values, allowing devices with different age values to share the same device model. The concept of binning is extended to include device degradation. In addition to a binning based on device width and length, age is added. In an exemplary embodiment, only devices with minimum channel length have degraded models constructed. The present invention also allows the degradation of one device parameter to be determined based on an age value derived from another parameter. In yet another aspect, a degraded device is modeled as a fresh device with a voltage source connected to a terminal.

The invention discloses a prediction method of multi-functional parameter accelerated degradation testing product life based on multivariate hybrid time sequence analysis, belonging to the technical field of accelerated test evaluation, comprising the steps of test data acquisition and pretreatment; multi-functional parameter time sequence modeling; multi-functional parameter degradation failure prediction; multi-functional parameter degradation accelerated modeling and multi-functional parameter product life prediction; the problem that the prediction is inaccurate since the mutual influence among a plurality of property parameter degradation processes of the product is unconsidered in the single property parameter degradation prediction of the product is solved; a multivariate hybrid time sequence model is put forward in considering monotonicity degradation trend, randomness and cyclical fluctuation in the product multi-functional parameter degradation process and the relativity of the characteristics among the property parameter; a failure criterion of the product multi-functional parameter degradation is put forward; the description to the multi-functional parameter degradation process is more comprehensive and the accuracy of the prediction result of multi-functional parameter accelerated degradation testing life is improved.

The invention provides a rolling bearing performance degradation evaluation device and method. The device comprises an acceleration sensor, a data acquisition module, a feature extraction module, an SVDD evaluation module and a verification module. According to the method, the acceleration sensor is made to be used for acquiring vibration signals of a bearing to be measured and converting the vibration signals to simulation signals; the data acquisition module is made to be used for conducting amplifying, smoothing and other processing on the simulation signals, converting the simulation signals into digital signals and then transmitting the digital signals to a computer; the feature extraction module is used for extracting wavelet packet singular spectrum entropies of the vibration signals to serve as input feature vectors so as to be used for the SVDD evaluation module; The SVDD evaluation module is used for establishing a self-adaption SVDD model and evaluates the performance degradation process of the rolling bearing through the self-adaption SVDD module to obtain a performance degradation index DI; the verification module verifies the correctness of the evaluation result through an Hilbert envelope demodulation method based on EMD. The rolling bearing performance degradation evaluation device and method are applied to performance degradation evaluation of the rolling bearing in the whole life cycle.

The invention "colloidal nanoscale carriers for active hydrophilic substances and method for producing same" pertains to the field of medical, odontological or hygiene preparations, and is characterized by structures formed by hydrophilic polymers that contain active hydrophilic substances coated with a non-hydrophilic phase and surfactants with affinity for the components, forming an invert emulsion that allows the incorporation and controlled delivery of active hydrophilic substances, conferring properties such as protection against degradation processes, improvement of compatibility with the other components of the formulation in the final product, increase in the availability and / or bioavailability of the active substance in the medium of interest (including improvements in permeation processes in biological materials, reduction of the exposure and volatilization of the active substance in the medium) and controlled release of the active substance(s). The nanoscale carrier obtained by this method, called colloidal nanoscale carrier (NC), can be used in various fields, such as the pharmaceutical field (including dermatology), cosmetics, personal hygiene products, veterinary medicine, agrochemicals and fertilizers, the food industry and the like. The invention proposes a kinetically stable system with an effective nanoscale structure that consists of nanoscale carriers formed by polymers emulsified in a non-aqueous medium in the presence of a surfactant with affinity for the two phases (the dispersion medium and the encapsulating agent). This system is obtained by nanoemulsification of an aqueous phase of hydrophilic polymers emulsified in a non-hydrophilic (lipophilic or silophilic) phase that contains the surfactants, and is characterized by the implementation of two concepts that encompass the generation of an invert nanoscale emulsion and of polymer nanoparticles. The formulation has the novel technical effect of providing a polymer excipient with a nanoscale structure for delivering hydrophilic molecules suspended in a non-hydrophilic phase, which allows controlling the size of the nanoscale particles and modulating colloidal stability by means of process parameters.

The invention relates to a multi-layer SVM (support vector machine) based storage battery on-line monitoring method. Considering that the storage battery performance degradation process is closely related to the voltage and current variation condition and temperature variation condition, in order to reflect the intrinsic relationship, through setting up an SVM data category training set, and utilizing a multi-layer SVM storage battery performance degradation diagnosis flow by adopting an SVM algorithm, the storage battery is subjected to real-time intelligent fault predication, the monitoring of the health state of the storage battery has higher accuracy compared with the traditional method, and also early warning can be provided in case of the invalidity of the storage battery.

The invention provides a quality assurance method by high-quality composite degradation of pesticide residues in orange peels, belonging to the technical field of elimination of the pesticide residues in fruit and vegetable. The method comprises the following steps: selecting different varieties of high-quality orange peels as raw materials; compositely soaking the fresh orange peels in alkali liquor and ozone, and then soaking and washing the orange peels with clear water, and meanwhile carrying out ultrasonic washing during the process; and carrying out low-frequency (915MHz) microwave treatment so that the degradation rate of most part of organophosphorus, organochlorine and carbamate pesticides in the orange peels reaches over 80% and ethion and methamidophos can be fully degraded. The method has the advantages that a plurality of the original pesticide degradation methods are systematically screened and integrated, thus the defect of a single method such as different degradation degrees on different pesticides is avoided so as to eliminate the pesticide residues in the orange peel maximally; and by means of the composite method, loss of nutrition as well as color, aroma and taste components during the degradation process of the pesticide residues in the orange peels is lowered minimally so as to keep the original nutrition, flavor and color of the orange peels maximally.

The invention provides a residual life prediction method for a non-stationary degradation process with uncertain impact and belongs to the technical field of reliability engineering. The impact effect is combined with a continuous degradation process, thereby more reasonably describing the actual degradation process. In a state estimation phase, a new online state estimation algorithm is provided to identify the real system state and to provide a necessary support for subsequent residual life prediction. In a parameter estimation stage, unknown parameters in a model are obtained by adopting an expectation maximization algorithm. For residual life production, the uncertainty of state estimation and the influence of the impact effect are considered at the same time, and an expression is analyzed to give a probability density function and a cumulative probability density function of residual life prediction distribution. The provided model meets the actual degradation condition, a more accurate residual life prediction result can be obtained, and the residual life prediction method is of great significance in fault prediction and health management in engineering.

The invention provides a bearing health assessment and prediction method and system. The method comprises the following steps: acquiring a vibration signal in the running process of a bearing; processing the vibration signal to acquire time domain statistical characteristic, a time frequency domain energy characteristic and a trigonometric function characteristic of the vibration signal; selecting the characteristics which are mostly sensitive to the bearing degradation according to the characteristic index of the bearing degradation, so as to form characteristic vectors; selecting the characteristic vectors during the normal running of the bearing as input vectors to train a self-organizing characteristic mapping network and establishing a self-organizing characteristic mapping network model; solving the minimum quantization error corresponding to each characteristic vector in the self-organizing characteristic mapping network model; constructing health indexes which reflect the bearing degradation performance by utilizing the minimum quantization errors; and predicting the trend of the bearing degradation by utilizing an extreme learning machine prediction method and the health indexes. According to the bearing health assessment and prediction method and system, the degradation degree in the bearing degradation process can be correctly described, and the trend of the bearing degradation can be accurately predicted.

The invention discloses a method for degrading methyl orange dye wastewater with a ZnIn2S4 visible light catalyst. The method comprises the following steps: using zinc salt, indium salt and sulfur source as reaction materials; dissolving the materials in a de-ionized water solution according to a stoichiometric ratio; starting a hydrothermal reaction at the temperature of 30-90 DEG C to obtain ZnIn2S4 visible light catalyst powders; moving the prepared methyl orange solution into a self-prepared glass reaction vessel; adding the prepared ZnIn2S4 powders; placing the reaction system in a dark room and stirring for 20-60 minutes in dark; stirring for 1-4 hours under visible light; and determining that the methyl orange is fully degraded after being separated by high speed centrifugation. By using the method provided by the invention, the methyl orange solution can be degraded efficiently at room temperature and under normal pressure, conditions of the degradation process in the method can be easily controlled, the process is simple and is easy to learn and operate, the time required for complete degradation is short, and the energy consumption is low.

The invention relates to a micro arc oxidation metal bracket capable of controlling degradation and the preparing method. The bracket is provided with a micro arc oxidation film and a degradable polymer coating. The method comprises the steps showed as follows: processing a degradable metal into a bracket; pretreating the bracket to remove the oxide at the surface of the bracket; putting the bracket into the micro arc oxidation electrolyte, as the anode of an electrobath, the bracket is put in the direct current or alternating current to have micro arc oxidation treatment, ensuring the surface of the bracket have the micro arc oxidation film; cleaning the bracket after the micro arc oxidation treatment; spraying degradable polymer material at the bracket surface after being cleaned and the degradable polymer material carries therapeutic medicine. The micro arc oxidation film at the bracket can reduce the erosion speed of the bracket remarkably, can prolong the service life of the bracket and simultaneously guarantee the mechanical property of materials in the degradation process.

The invention discloses a fluorine and silicon containing water and oil repellent finishing agent which is synthesized from fluorine containing acrylic ester formed by fluorine containing alkyl with a shorter carbon chain and double-bond containing organic siloxane as basic structural units. On one hand, the advantages of a fluorine containing water and oil repellent finishing agent is retained; and on the other hand, the fluorine containing acrylic ester formed by the fluorine containing alkyl with a shorter carbon chain is selected so that perfluoro caprylic acid (PFOA) and salt thereof toxic to the environment are prevented from being generated in the degradation process of the fluorine and silicon containing water and oil repellent finishing agent. By combining the advantages of the silicon and the fluorine, the fluorine and silicon containing water and oil repellent finishing agent of the invention becomes a fabric finishing agent which has excellent performance and is environmentally friendly.

The invention belongs to the technical field of crossing of chemical engineering, materials engineering and environmental engineering, particularly relates to an improvement technology of cellulose membrane materials and a chemical grafting and fixing technology for treating anthraquinones compound carriers of wastewater containing nitrogen, and particularly relates to a method for preparing an anthraquinone functional cellulose membrane by fixing an anthraquinone compound on microcrystalline cellulose by chemical grafting. According to the method, the microcrystalline cellulose is used as a raw material; firstly, ionic liquid is used as a solvent for dissolving the microcrystalline cellulose; thionyl chloride modified cellulose is used for preparing cellulose chloride and then the cellulose chloride is reacted with amino anthraquinone in dimethylformamide to prepare an anthraquinone functional cellulose membrane material; the substitution degree of the prepared cellulose chloride can reach 1.89 and the anthraquinone grafting rate of the anthraquinone functional cellulose membrane reaches 82%; the anthraquinone functional cellulose is prepared by the two-step reaction; the content of anthraquinonyl is high and the grafting rate is high; the fixing effect is stable; finally, the anthraquinone functional cellulose is changed into the membrane by a phase transferring method; the membrane material can be used for accelerating and strengthening the biological degradation process in the treatment of the wastewater containing the nitrogen.

The present invention relates to technical field of biological material, and is especially suitable for surface modification field of biological medical material. Particularly the invention provides a medicine-taking degradable magnesium alloy cardiovascular bracket and a preparing method thereof. The aim of the invention is to reduce the initial degrading speed of magnesium alloy in biosome and carry therapeutic medicine on the surface of magnesium bracket thereby guaranteeing the mechanical performance of magnesium alloy bracket in vivo and better restraining the hyperplasia of newborn tunica interna. A fluoro-containing transition film is prepared on the surface of magnesium alloy bracket, and a medicine-carrying layer is prepared on the outer layer of magnesium alloy bracket. A protecting layer is the fluoro-containing transition film. The fluoro-containing transition film has self-concrescence capability in the degradation process of magnesium alloy and can effectively reduce the in-vivo degradation velocity of magnesium alloy bracket. The surface of degradable magnesium alloy cardiovascular bracket is smooth and is not easily generated with surface cracking and breaking-off. The medicine-taking layer is composed of medicine carrier polymer or protein and therapeutic medicine. The medicine-taking layer can release therapeutic medicine, reduce the generation rate of stenosis after the implantation of bracket and has a control function to the degradation velocity of magnesium alloy bracket.

The invention discloses preparation of a Ni<2+> doped geopolymer catalyst and application of the catalyst in organic matter degradation. The preparation method utilizes industrial solid waste fly ash or mineral slag or steel slag as the raw material, which, excited by a chemical exciting agent sodium silicate, can generate a fly ash or mineral slag or steel slag based geopolymer respectively. Then through NH4<+> and Ni<2+> ion exchange reactions in order, a Ni<2+> doped geopolymer catalyst can be generated. The catalyst can be used for degradation reaction of methylene blue in industrial wastewater and has a degradation rate up to 77.29%. The preparation and organic matter degradation processes have the advantages of simplicity and practicability, no need for heating, energy saving and environmental protection, thus being able to realize large scale preparation and application.

The invention provides a method for degrading environmental estrogen pollutants in a water body. The method comprises the steps of adding nascent state hydration manganese dioxide colloid into water containing estrogen pollutants with a concentration of between 0.1 and 10 mu mol / l, controlling a concentration of the manganese dioxide in the system of between 0.25 and 25 mu mol / l, a PH value of between 4.0 and 7.0 and a temperature of between 5 and 35 DEG C and stirring or oscillating the system solution with a rotating speed of between 100 and 150 rmp to degrade the environmental estrogen pollutants in the water body. The method is low in treatment cost, free of the restriction of field conditions, high in degradation efficiency, uneasy to generate secondary pollution, applicable to the degradation and removal of environmental estrogen pollutants in various natural water bodies and man-made water bodies, possessing a good industrialization promotion prospect.

The invention provides a method and a system for assessing the health of a fan, a storage and a controller. The method comprises the steps of acquiring historical data of a fan in normal operation and forming a working condition feature vector when the fan is working; dividing the historical working condition of the fan; recognizing the type of the working condition, and using a state feature vector to build a reference model for assessing the health of the fan on the line according to the type of the working condition; inputting the working condition feature vector at the current moment into a preset training model to acquire the probability the working condition of the fan at current moment belongs to the type of each working condition, and computing a mahalanobis distance between the state feature vector at the current moment and the reference model under each working condition; and acquiring a weighted average value of the working condition type probability and the mahalanobis distance with the reference model under each working condition, and converting the weighted average value into a health index for describing the degree the working condition deviates from normal operation at the current moment. According to the method and the system provided by the invention, a degradation process before the fan is failed can be recognized in advance, and health state variation of the fan in operation can be accurately assessed.

An SVR antifriction bearing performance degradation prediction method based on a krill-herd algorithm belongs to the field of functional approximation rotating machinery prediction methods. The method comprises the following steps: firstly analyzing time domain, frequency domain and time-frequency domain feature indexes, and proposing a feature extraction method based on combination of CEEMD and wavelet packet half-soft threshold noise reduction to perform fault diagnosis of an antifriction bearing; performing comprehensive evaluation of the fault degradation feature of the antifriction bearing for multiple feature parameters, and proposing a method of combining the LLE nonlinear feature dimension reduction method with the fuzzy C mean value; and finally, introducing the basic theory of the support vector regression machine, and proposing the prediction model of multivariable support vector regression machine based on the krill herd algorithm, optimizing parameters of the SVR, and selecting the optimal C, [sigma] parameters. The method is advantaged by high prediction precision, short calculation time, and good feature value prediction effect after clustering. The degradation process of the antifriction bearing can be precisely predicted through the abovementioned three steps.

The invention provides a small-caliber artificial blood vessel with a three-layer composite structure, and a preparation method of the small-caliber artificial blood vessel. The small-caliber artificial blood vessel comprises a weaving inner layer, an electrostatic spinning intermediate layer and a polyurethane outer layer, wherein the electrostatic spinning intermediate layer is arranged on the outer side of the weaving inner layer; the polyurethane outer layer is arranged on the outer side of the electrostatic spinning intermediate layer; the weaving inner layer comprises a first weaving stand pipe and a second weaving bracket stand pipe; the second weaving stand pipe is a weaving stand pipe with axial yarns, and is arranged on the outer side of the first weaving stand pipe. The small-caliber artificial blood vessel adopts a simulation structure; the weaving stand pipes serve as enhancement layers and are relatively high in compliance; the electrostatic spinning intermediate layer adopts a precise three-dimensional reticular structure, so that coated drugs and growth factors are released step by step in the degradation process, thrombosis is prevented, and cell growth is facilitated; the polyurethane outer layer is relatively high in compliance and adopts a microporous structure, so that biomass transmission is facilitated; both PDO and PLLA are degradable materials, so that gradient degradation can be realized, the contact between the polyurethane material and blood can be reduced, the foreign-body reactions to the PDO and PLLA materials can be prevented, and the long-term patency rate can be improved.

The invention discloses a method and device for testing accelerated degradation of the friction moment of a ball screw pair and belongs to the technical field of detection of ball screw pairs. The ball screw pair is connected with a sliding plate through a replaceable main nut and a replaceable auxiliary nut on the two sides respectively. In the test condition, the ball screw pair drives the sliding plate to reciprocate through the main nut, rotation of the sliding plate is limited by the auxiliary nut through a limiting rod, and load testing is conducted on the sliding plate through a load cylinder. In the testing condition, the ball screw pair drives the sliding plate to reciprocate through the auxiliary nut, the main nut is connected with a pull pressure sensor installed on the sliding plate through a force measurement rod, so that the friction torque between the main nut and a lead screw is obtained accurately. During an accelerated degradation test, axial stepping accelerated loading is conducted on the ball screw pair through the axial load cylinder. Modeling of the friction torque degradation process of the ball screw pair can be achieved through the ball screw pair friction torque data obtained through a short-time acceleration test, and the performance degradation life of the ball screw pair is predicted in a short period of time and with low cost.

The invention discloses a method for controlling the synchronous degradation of each layer of a co-extrusion composite film by utilizing the same biological base. Aiming at the co-extrusion composite film which is in three layers or more than three layers, a biological active additive 'EcoPure' is used as the biological base. The method is characterized by comprising the following steps of: calculating a weight proportion relationship between carbon contents of each layer of the co-extrusion composite film first, then determining the addition concentration of the biological base of each layer according to the weight proportion relationship between the carbon contents of each layer in extruded polymer of each layer before the preparation, and making the degradation rate of each layer of the co-extrusion composite film be accordant. The method disclosed by the invention has the contribution of having a predictable control ability for the biological degradation process and the degradation rate of multi-layer co-extrusion composite film which is composed of different polymers; and by balancing the concentration of the biological base, the biological degradation rate which is suitable for the final processing environment is provided, and the appearance, the function and the physical and mechanism performance of a product before being discarded are ensured to be unchanged.

The invention belongs to the field of synthesis of drug carrier base materials and provides a nano particle-polymer injectable composite hydrogel double drug loading system and a preparation method thereof. The double drug loading system is loaded with not only an anti-cancer drug I of which polymer nano particles are synthesized through a disulfide bond cross-linking agent by taking acrylic acidand 4-vinylphenylboric acid as monomers, but also an anti-cancer drug II of which injectable hydrogel is synthesized through Michael addition reaction between a macromolecular cross-linking agent witha sulfhydryl functional group and a polymer containing a catechol functional group aiming at the drug loading capacity, the action time, the treatment effect and other demands. The bi-stimulus response is pH stimulus response and reducing stimulus response of glutathione to the disulfide bond cross-linking agent in a tumor cell environment respectively, the interaction between the nano particlesand the drug I as well as the degradation process of the nano particle can be affected, and the long-term delivery of the drug I is realized. The nano particle-polymer injectable composite hydrogel double drug loading system provided by the invention realizes the effects of local long-time administration, step-by-step osmotic treatment and combined treatment of a variety of drugs.

The invention discloses an aviation power converter failure prediction method based on factional order UPE. According to the method, firstly, state signals of measurement points of an aviation power converter are collected in real time, failure characteristic parameters reflecting the performance degradation condition of the aviation power converter are extracted, and history time sequence values of the failure characteristic parameters are obtained; then, a state equation of the performance degradation process of the aviation power converter is trained on the basis of an LS-SVM model, and a fractional order state space model of the performance degradation process of the aviation power converter is built; ultimately, by combination of the fractional order state space model, time sequence prediction is carried out on the failure characteristic parameters by means of the fractional order UPE, and failure prediction of the aviation power converter is achieved. The invention provides the aviation power converter failure prediction method based on an improved PF algorithm, proposal distribution of particles is generated by means of the fractional order UKF algorithm, a particle degradation problem of a traditional PF algorithm is solved, the performance degradation process of the converter is described by means of the fractional order state space model so as to accord with practical situations, and failure prediction precision of the aviation power converter is improved.

The invention relates to a plasma biological deodorization process and a system for gas discharged from a steel drum spray coating product line. The process comprises: firstly, contacting to-be-treated exhaust gas with cooling fluid in a cooling tower to carry out cooling down and water washing of the exhaust gas through gas-fluid cross contact; then, injecting the exhaust gas into a plasma deodorization device to break the molecular chain of organic substances in the exhaust gas, and turning toxic and harmful substances in the exhaust gas into nontoxic and harmless substances through oxidation-reduction reaction; carrying out centrifugal treatment of the exhaust gas through a centrifugal fan to form high-speed high-concentration exhaust gas; adopting liquid-phase exhaust gas absorption medium to absorb pollutants in the exhaust gas inside a chemical washing tower; and finally, in a combined biological deodorization tower, degrading the degradable components in the exhaust gas into water and carbon dioxide by means of a biological degradation process, and absorbing undegraded components in the exhaust gas by means of porous solid matter. The plasma biological deodorization processand the system can carry out effective treatment on exhaust gas containing complex components through combined treatments including chemical washing, biological degradation and physical adsorption, so as to meet the emission requirements of national standards.

The invention discloses a full biodegradable plastic starch master batch, a preparation method and application thereof. The plastic starch master batch comprises the following compositions in portion by weight: 60 to 75 portions of starch, 20 to 30 portions of vectors, 1 to 5 portions of compatilizer, 1 to 5 portions of lubricant, 1 to 5 portions of modifier and 1 to 5 portions of degradation accelerant. The plastic master batch takes the starch as a bioactive substance which is added with light, oxygen and the thermal degradation accelerant, and has the characteristic of multi-degradation under the action of the light, the oxygen, heat and microorganisms. The degradation process of the full biodegradable plastic starch master batch is as follows: after the induction period (controllable) is over, a product is degraded into chips and powder, assimilated with the environment finally, and is continuously degraded under certain environmental condition (aerobic), and CO2 and water are finally generated and can not cause secondary pollution when entering into soil, wherein the degradation period can be adjusted and controlled as required by change of the addition of a composite degradation regulator and the bioactive substance. The full biodegradable plastic starch master batch also has the advantages of simple preparation technology, low production cost and so on.

The present invention discloses a stand-alone residual life prediction method for integrating life data and performance degradation data, and relates to the field of product residual life prediction. The method comprises the following steps: (S1) initializing the drift parameter mu and the diffusion parameter sigma; (S2) updating the drift parameter mu and the diffusion parameter sigma; (S3) carrying out Gibbs sampling numerical simulation to solve the parameter estimation value; and (S4) carrying out residual life prediction based on the degradation process. The purpose of the present invention is providing a method, and when a component performance degradation process can be taken as a linear drift Wiener process, the method can be used for integrating life data and performance degradation data, estimating distribution parameters of the component residual life, and further estimating the product residual life, so that the problem of residual life prediction of the complex product with high reliability, long life and small sample is solved, and real-time updating of parameters is realized.

The invention belongs to the technical field of biological immobilization and environmental protection and particularly relates to an immobilized microorganism particle for degrading petroleum in low-concentration oily water. The immobilized microorganism particle consists of embedding materials and activated sludge, wherein the embedding materials and the activated sludge are mixed according to a mass ratio being 0.5-2:1, the embedding materials consist of carriers, SiO2, surface active agents and cross-linking agents, the carriers are polyvinyl alcohol and sodium alginate, and the surface active agents are Tween 80 and / or rhamnolipid, wherein the carrier concentration is 8 percent to 12 percent (W / V), the SiO2 concentration is 1.5 percent to 3 percent (W / V), the final concentration of the Tween 80 in the surface active agents is 100 to 200mg / L, and the final concentration of the rhamnolipid is 100 to 180mg / L. The immobilized microorganism particle prepared by the method has the advantages that the interface tension can be effectively reduced, the oil / water interface area is increased, the biological degradation processes of oil pollutants are obviously promoted, and the deoiling effect of microorganisms is greatly improved.

The present invention discloses a product multidimensional correlation-oriented degradation failure modeling method. The method specifically comprises: determining reliability characteristic quantities of a product; collecting and processing degradation data of each characteristic quantity; establishing a degradation model of each characteristic quantity; estimating a parameter in the degradation model of each characteristic quantity; establishing a multidimensional correlation degradation model by using D-Vine Copula; and determining types and parameter values of all bivariate Copula functions. According to the method provided by the present invention, a multidimensional correlation variable joint density function and an edge density function thereof are connected by a plurality of bivariate Copula functions by using D-Vine Copula, so as to effectively process a multidimensional degradation process with complex correlation, and achieve better flexibility and generalization ability.