40 results about "Chemical models" patented technology

The invention discloses a multiaxis differential spectrum absorbing method and device for vertically distribution detection of atmospheric components. Wherein, a plurality of telescopes are arranged to observe the space from the ground in different angles of pitch, so as to detect and collect sun lights scattered by the atmosphere; the surfaces of the telescopes' lens cones are blackened to reduce stray light, the scattered sun light is converged at the ends of optic fibers after passing the lens and light filters in the telescopes; the optic fibers at the tail ends of the telescopes are combined and guide the scattered sun lights into the incident slit of an imaging spectrometer, which first disperses the scattered sun lights, and then concentrate them on a photosensitive surface of a face array imaging CCD detector; the spectral signals go through data analysis and treatment after A/D conversion and inputting into a computer. The invention is applicable for chemical research of atmosphere, provides input data and model verification for chemical model of atmosphere; and is applicable for verifying the results of atmospheric components detected by a satellite.

The invention discloses a satellite remote sensing space-time distribution inversion algorithm for column concentration of polluted gas. The satellite remote sensing space-time distribution inversionalgorithm comprises the following steps: selecting a spectral waveband and a resolution ratio; carrying out difference absorption spectrum analysis method inversion; carrying out contrast verificationon ground-based observation and a chemical model simulation result. The satellite remote sensing space-time distribution inversion algorithm for the column concentration of the polluted gas has the advantages that 1) the quantity/position of detected damaged pixels is judged and identified through fitting residuals and the signal-to-noise ratio of a detector is calculated; 2) key parameters including a slit function, spectrum drifting and the like, which are changed in real time after the simulated detector is launched into the sky, can be realized, the inversion errors are reduced and the inversion precision is improved; 3) overlapping influences on different trace gas spectrums in fitting calculation and influences on atmosphere ring effects are eliminated; 4) the satellite remote sensing space-time distribution inversion algorithm can be applied to an atmospheric pollution gas absolute total amount inversion algorithm of ground-based and onboard observation; 5) an actual atmospheric outline of China is combined with land surface emissivity and a detector posture to construct an atmospheric quality factor lookup table which is changed along wavelength.

The invention discloses a chemical engineering process modeling method of an RNA genetic algorithm with remodeling operation, which has the following steps: 1) actual input and output sampling data is obtained by on-site operation or experiment, and then the sum of the absolute value of the error between the estimated output and the actual output of a chemical engineering process model is used as the objective function of the RNA genetic algorithm for optimization research; 2) algorithm control parameters is set; 3) the RNA genetic algorithm with remodeling operation is operated to do estimation for the unknown parameters of the chemical engineering process model, then the estimated value of the unknown parameters of the chemical engineering process model is obtained by the minimized objective function, and the estimated value of the unknown parameters is substituted into the chemical engineering process model to form a mathematical model of the chemical engineering process. The excellent genes of original species group is preserved when the diversity of the species group is increased effectively, thereby avoiding the defects of the premature convergence of traditional genetic algorithm and the convergence of locally optimal solution better.

The invention discloses an SOH (state of health) estimation method for a power battery and belongs to the technical field of power batteries. The method comprises the following steps of: charging a battery pack in a discharge cut-off state to a fully charged state in a set temperature range; calculating the maximum total available capacity of the battery pack according to available capacity of the battery pack in the discharge cut-off state and total charging capacity of the battery pack in the fully charged state; and estimating the SOH of the battery pack according to the total capacity of the battery pack and set initial nominal capacity. According to the method disclosed by the invention, the SOH of the battery pack is estimated by utilizing the inherent characteristic of the battery pack, namely the maximum total available capacity of the battery pack, an internal chemical model and state parameters of the battery pack do not need to be known, and the difficulties that mathematical modeling, state parameter identification and off-line test cannot be performed inside the battery, lots of experimental data are needed and the like are overcome, so that the SOH in the full life circle of the battery pack can be estimated, and an estimated object is not limited to the battery pack of a certain specific type of battery cells.

The invention provides a battery management system power calculation method comprising the following steps: S1, detecting the charging and discharging characteristics of a battery under different preset temperature ranges and different preset charging and discharging ratios, and establishing a charging and discharging chemical model through a database based on obtained test data; S2, determining a series of battery state-of-charge change values under different preset temperature ranges and/or different preset charging and discharging ratios according to the charging and discharging chemical model database; and S3, calculating the battery power and selecting a corresponding battery state-of-charge change value according to the current temperature and charging and discharging ratio in order to calibrate the battery power. Compared with the prior art, the electrochemical model of the battery under the influence of temperature and the electrochemical model of the battery under the influence of ratio are established, the two factors are intelligently associated with the state of charge of the battery, and accurate and intelligent power calculation can be achieved in practical use.

The invention discloses a complex chemical process modeling method of a DNA genetic algorithm based on a swarm behavior. The method includes the following steps of firstly, obtaining input sampling data and output sampling data in the chemical process through experiments, and using the sum of an error absolute value of estimated output of a model and an error absolute value of practical sampling output in the chemical process as a fitness function aiming at the input sampling data in the same chemical process; secondly, setting control parameters of the algorithm; thirdly, conducting estimation on unknown parameters in a chemical process model by running the algorithm, obtaining estimated values of the unknown parameters in the model through a minimum objective function value, putting the estimated values of the unknown parameters in the model into the chemical process model, and obtaining an optimal chemical process model. According to the complex chemical process modeling method of the DNA genetic algorithm based on the swarm behavior, by the adopting of the DNA genetic algorithm based on a swarm honey gathering behavior and a swarm breeding behavior, the established chemical process model is made to have high fitting precision, and has the advantages of being high in convergence rate and rich in population diversity.

The present invention discloses a method for acquiring an atmospheric pollutant emission flux based on mobile AHSA observation. Differential inclined column concentration results of atmospheric pollutants (nitrogen dioxide, sulfur dioxide, formaldehyde and the like) distributed in the space are acquired by using mobile AHSA. A meteorological chemical model is used to simulate the acquired atmospheric information, and the acquired atmospheric information is inputted into atmospheric radiation transmission to calculate atmospheric photon path information. The differential inclined column concentration results are further converted into the tropospheric vertical column concentration results. An emission flux result of a pollution source is calculated and acquired in combination with wind field information simulated by the meteorological chemical model. The method uses a remote sensing method to indirectly, quickly and accurately quantify the emission flux result of the atmospheric pollutants, and provides a powerful monitoring means for atmospheric environmental pollution. Meanwhile, the emission flux calculating result of the atmospheric pollutants provides necessary data support foratmospheric environmental management.

The invention discloses a complex chemical process modeling method having astroid topologic structural film calculation, comprising steps of: 1) acquiring input and output sampling data of chemical process via on-site operation or experiment; for input sampling data of same group of chemical process, using error absolute value sum of estimated output chemical process mould and actual sampling output of chemical process as a target function; 2) setting control parameters having astroid topologic structural film calculation; 3) operating the astroid topologic structural film calculation to estimate unknown parameters in the chemical process mould to acquire estimation value of unknown parameters in the chemical process mould via minimal target function; introducing the estimation value of unknown parameters to the chemical process mould to form a mathematic mould of chemical process. The invention uses astroid topologic structure, which protects object with smaller function value in optimizing process having high precision and rapid speed of optimization. Diversity of group is added due to rule of conversion.

The invention discloses a chemical model comprising at least one central sphere and at least one extended sphere. The chemical model is characterized in that the extended sphere is composed of a large hemisphere and a small hemisphere; the circular surface of the large hemisphere and the circular surface of the small hemisphere are both equipped with magnetic material layers; the central sphere is connected with the large hemisphere through an elastic connecting rod; each central sphere is provided with at most eight large hemispheres; and the chemical model is just provided with one kind of the central sphere or the chemical model is provided with two or more kinds of the central spheres, wherein at least one large hemisphere on each central sphere and the large hemisphere on another central sphere are attracted so as to form a shared dual-hemisphere structure. By means of the structural innovation of the central sphere, the extended sphere, and the elastic connecting rod, the chemical model may reflect the saturation degree of the outermost electrons of an atomic nucleus, demonstrate a forming process of a covalent bond, and form a share electron pair model and multiple molecular models.

The invention discloses a cable joint insulation state evaluation method. The method includes the following steps that: the control equation of cable joint insulation internal air gap defect discharge is built; a micro-particle chemical reaction in the process of the cable joint insulation internal air gap defect discharge is analyzed; the plasma chemical model of cable joint discharge is built according to the control equation and the micro-particle chemical reaction; and the plasma chemical model of the cable joint discharge is solved, and the insulation cracking state of a cable joint can be evaluated. With the method adopted, the insulation state of the cable joint can be obtained.

The invention discloses a medium-scale atmospheric photochemical pollution simulation prediction algorithm increasing a meteorological model interface. A meteorological model interface module is addedbased on a CALGRID chemical model, MM5 and WRF level Arakawa B and C grid point meteorological data are interpolated into an Arakawa A grid point of a CALGRID, meteorological data of MM5 and WRF vertical sigma terrain following coordinate systems are interpolated into a Z terrain following coordinate system of the CALGRID, characteristic parameters of an underlying surface are acquired from an external data set according to the type of the underlying surface outputted by a meteorological model, and boundary layer meteorological parameters such as PGT (page table) stability classification, friction velocity, convection rate scale and Monin-Obukhov length needed by the CALGRID model are acquired by prediction field diagnosis in the meteorological model. The CALGRID model is successfully connected with MM5, WRF and TAPM output meteorological fields.

The invention relates to a gaseous pollutant concentration column conversion method and device and belongs to the technical field of environmental pollution monitoring. The method herein comprises: acquiring four-dimensional lattice data prediction results of physical quantity through model prediction, screening the four-dimensional lattice data prediction results to obtain preset gaseous pollutant concentration four-dimensional lattice prediction results, acquiring preset gaseous pollutant concentration text files of preset layers through processing of a meteorological plotting system according to the preset gaseous pollutant concentration four-dimensional lattice prediction results, converting model layer data into column concentrations according to a sum method by using the layerwise text files as an input field so as to obtain tropospheric ozone column concentrations. The model ozone concentrations can be converted into tropospheric ozone column concentrations by converting; the ozone concentrations are decreased from four dimensions to three dimensions; physical significance of the ozone column concentrations is further clarified; tropospheric ozone concentrations in an atmospheric chemical model can be predicted more efficiently; application effect in scientific research and business units in environmental protection and meteorological industries can be improved.

Technical solutions are described for an emissions control system for controlling a selective catalytic reduction (SCR) device of an exhaust system of an internal combustion engine. An example computer-implemented method includes governing a reductant dosing in the SCR device. For example, governing the dosing includes computing a reductant dosing rate based on a chemical model of the SCR device. Further, the governing includes determining a temperature modulation factor based on inlet temperature of exhaust gas input for the SCR. The method further includes adjusting the reductant dosing rate by scaling the reductant dosing rate by the temperature modulation factor. The method further includes causing an amount of reductant to be injected into an SCR catalyst according to the adjusted reductant dosing rate.

The invention discloses a lithium ion battery residual life on-line prediction method based on a deep learning algorithm, and the method comprises the steps: training a deep learning network through a large amount of offline battery data sets, taking a discharge curve segment collected at an online stage as data input, and carrying out the online prediction of the residual life of a lithium ion battery. Based on the deep learning network optimized in the off-line stage, the remaining life of the battery is obtained by combining a signal processing method and a transfer learning technology, and then the health state of the battery in online use can be deduced and battery management is carried out; different from traditional pure theoretical calculation and empirical model prediction, the residual life prediction model is based on the deep learning network, dependence on physical and chemical models and mathematical models in the battery is avoided, the robustness and universality of the prediction method are improved, and meanwhile the calculation cost is effectively reduced.

The embodiment of the invention provides a method for predicting a gasoline octane value, and belongs to the field of petroleum chemical engineering. The method comprises the steps that an active nucleus conversion rate is calculated according to ingredients in gasoline and an active nucleus conversion rate calculation model, and the gasoline octane value is calculated according to the active nucleus conversion rate and an octane value calculating model. A scheme provides the hypothesis that the active nucleus conversion rate in a system determines the octane value by means of researching a burning chemical model of hydrocarbon in an air cylinder to resolve a burning process, the octane value is calculated on the basis, and accordingly, the contribution or loss of the gasoline octane valuecaused by a non-linear blending effect in a blending process of the ingredients in the gasoline can be taken into consideration, and prediction of the gasoline octane value can be more precise.

When chemical process conditions and chemical species are input on a spreadsheet software (1), a chemical model is selected according to the chemical species by a software (4, 5, 6) different from the spreadsheet software (1), thermodynamic property data for the chemical model is generated, and a chemical equilibrium is evaluated based on this data. The chemical equilibrium is simulated on the spreadsheet software (1) based on this evaluation result, and the simulation result is displayed on the spreadsheet software (1).

The invention discloses a fault detection method suitable for multi-sampling rate chemical process, aiming at solving the problem of multi-sampling rate chemical process modeling and online fault detection. Specifically, the present invention considers the problem of inconsistency in the number of measurement samples caused by multi-sampling rates in the chemical process, and the technical difficulty solved by the method of the present invention is: how to implement multi-sampling rate sample data on the basis of fully considering the correlation between measurement variables. feature extraction. For this reason, the present invention invents a brand-new multi-sampling rate modeling algorithm for the multi-sampling rate chemical process. The invention not only solves the data modeling problem of the multi-sampling rate chemical process, but also fully considers the correlation between different sampling frequency measurement variables in the multi-sampling rate modeling algorithm. Finally, through specific implementation cases, the superiority of the present invention in the fault detection of the multi-sampling rate chemical process is verified by comparison.

Systems and methods of chemical process simulation providing improved methods and systems for expressing the composition of a stream in a chemical process model in a manner that is not immediately indicative of the underlying composition, providing for improved accuracy of allocation of a process output stream to the appropriate source(s), avoiding duplication of components or other inaccurate component representations in relation to critical calculations, and improving the operation of a computer or other computing system for performing chemical process modeling and simulation. The systems or methods provide for three distinct layers of interaction, separating mixed species displayed to the user from individual species used in calculations, while providing transformation objects between dataset layers to provide for accurate modeling, calculation, and display.

The invention discloses an analysis method capable of making a climate model and a chemical model coupled with each other, and relates to the technical field of environmental protection. The regional climate model software developed by German Max Planck Institute for Meteorology serves as a main climate model, the RACM and ReLACS chemical mechanisms are embedded, the photochemical reaction rate is calculated on line through the FAST-J scheme, so that the problem that a traditional climate model is glancing in processing of a chemical module is solved, coupling of the climate model and the chemical model is achieved, and the analysis method provides a means for research and development of the climatic effects of aerosols and the interaction of atmospheric chemistry and the climate.

The embodiment of the invention provides a method for predicting a gasoline octane value, and belongs to the field of petroleum chemical engineering. The method comprises the steps that an active nucleus conversion rate is calculated according to ingredients in gasoline and an active nucleus conversion rate calculation model, and the gasoline octane value is calculated according to the active nucleus conversion rate and an octane value calculating model. A scheme provides the hypothesis that the active nucleus conversion rate in a system determines the octane value by means of researching a burning chemical model of hydrocarbon in an air cylinder to resolve a burning process, the octane value is calculated on the basis, and accordingly, the contribution or loss of the gasoline octane valuecaused by a non-linear blending effect in a blending process of the ingredients in the gasoline can be taken into consideration, and prediction of the gasoline octane value can be more precise.