49 results about "Boltzmann distribution" patented technology

The invention discloses a method for collaboratively searching for a multi-dynamic target in an unknown sea area by an unmanned aerial vehicle group based on enhanced learning. The method comprises the following steps: S1, dividing a searched sea area by using a grid method; to be specific, establishing a territory awareness information map based on the pheromone concentration of an unmanned aerial vehicle in a certain area; S2, according to unmanned aerial vehicle state information and a decision u(k), designing a Q value table; S3, according to a Q value of the current state of the unmannedaerial vehicle group, selecting flight routes of the unmanned aerial vehicles based on a Boltzmann distribution mechanism and performing the rotues; S4, according to a search performance function, designing a punishment function for evaluating the flight state of the unmanned aerial vehicle and updating a Q value of an arrival new state of the unmanned aerial vehicle group based on the punishmentfunction; and S5, updating the arrival new state of the unmanned aerial vehicle group to be a current state, making a flight route decision continuously, completing learning of the whole Q value table, and making a decision by the unmanned aerial vehicle group based on the trained Q table to complete the search task.

The invention relates to a signal generation method and device based on hybrid probability shaping and geometric shaping. The method comprises the following steps: generating an optimal geometric shaping signal constellation diagram; receiving an original bitstream; dividing an original bit stream into two branches; mapping the upper branch into a symbol sequence satisfying Maxwell-Boltzmann distribution through CCDM coding on the basis of a given probability shaping depth and an optimal geometric shaping signal constellation diagram; carrying out lDPC encoding on a combination of the symbol sequence and the lower branch to obtain a parity check bit sequence; combining the parity check bit sequence and the lower branch to form a folded index bit sequence; converting the symbol sequence into an amplitude bit sequence; and carrying out recombination and symbol mapping on the folded index bit sequence and the amplitude bit sequence to generate a hybrid probability shaping and geometric shaping signal. Compared with the prior art, the non-linear transmission damage resistance of signals can be effectively improved, and the transmission capacity and the transmission distance of an optical communication system are improved.

The invention discloses a tax administration big data analysis method using a restricted Boltzmann machine, and belongs to the field of computer big data processing. The method specifically includes the steps that a two-layer map is established through the restricted Boltzmann machine, nodes on the same layer are not connected, one layer is a visual layer v including input tax risk data, the other layer is a hidden layer h corresponding to training results, and the training results in the hidden layer h correspond to the input data of the visual layer v; the hidden layer h is used for defining the training results and joint configuration energy; the joint probability distribution of configuration is determined through Boltzmann distribution and joint configuration energy; the probability of the visual layer is determined through the training results of the hidden layer h; the probability of the hidden layer h is determined through the input data of the visual layer v; the corresponding training results of the tax administration big data in the visual layer and the input data in the hidden layer can be analyzed. By the adoption of the method, the case choice accuracy of tax risk management is improved, and the condition that basic taxation staff look for tax risk points manually is further changed.

The invention discloses a high anti-noise P-bit light transmission method based on multi-probability distribution. According to the high anti-noise P-bit light transmission method, a subcarrier is divided into signal streams in six modes, the signal streams are multiplexed and then transmitted to one core of a 19-core 6-mode optical fiber through using optical fiber fan-in equipment, and 18 pseudo-random binary signals with the same wavelength are modulated by using different binary sequences in different transmitters of the other 18 cores. The 19 signals are sent out by means of a 19-core 6-mode optical fiber, and are received and processed by a signal receiving device; and the multi-probability code modulation adopts Maxwell-Boltzmann distribution to carry out probability shaping on optical signals for subcarriers in different modes, and the value of a probability shaping scaling factor of a high-order mode is greater than the value of a fundamental mode. The high anti-noise P-bit light transmission method has the technical advantages of being high in transmission efficiency and high in anti-noise capacity.

A hybrid computer for generating samples employs a digital computer operable to perform post-processing. An analog computer may be communicatively coupled to the digital computer. The analog computer may be operable to return one or more samples corresponding to low-energy configurations of a Hamiltonian. Methods of generating samples from a quantum Boltzmann distribution to train a Quantum Boltzmann Machine, and from a classical Boltzmann distribution to train a Restricted Boltzmann Machine, are also taught. Computational systems and methods permit processing problems having size and / or connectivity greater than, and / or at least not fully provided by, a working graph of an analog processor. The approach may include determining preparatory biases toward a first classical spin configuration, evolving the analog processor in a first direction; evolving the analog processor in a second direction and evolving the analog processor in the first direction until the analog processor reaches a second classical spin configuration.

The invention relates to a method for calculating unfrozen water content in frozen soil based on a theory of a clay colloidal chemical electric double layer, which comprises the following steps: (1) soil sample is collected, a particle analysis experiment is performed to determine the mass percentage of clay, silt and sand in soil; (2) a specific surface area A (i) S ( / i) of the soil is obtained;(1) the concentration of the cation solution at the diffusion layer thickness x is obtained; (2) the unfrozen water content is obtained. Based on the electrostatic field Poisson equation and the electric double layer theory distributed by the electrostatic charge Boltzmann distribution, a theoretical formula of the unfrozen water content is derived, an empirical formula of the measured data and the existing unfrozen water content are finally combined, the theoretical formula of the unfrozen water content of conventional frozen soil with independent variables of soil type (specific surface area) and temperature is given. By the method and the device, the unfrozen water content of any conventional frozen soil can be calculated, the calculation is convenient, the effect is clear, and the influence factor is clear.

The invention relates to a correction method for the down-conversion fluorescence intensity ratio temperature measurement technology and solves a problem of inaccurate temperature measurement results existing in the temperature measurement technology in the prior art. The method comprises steps that, excitation light emitted by an excitation source is gathered through a convex lens and irradiates to a temperature-sensitive material, down-conversion fluorescence emitted through the temperature-sensitive material is gathered through the convex lens and enters a spectrometer, the spectrometer is connected with a storage oscilloscope and a computer for data processing, and a correction curve is acquired. Through the correction method, deviation of the down-conversion fluorescence intensity ratio and the Boltzmann distributing law in the prior art is eliminated, advantages of strong anti-interference capability, good stability and high sensitivity of the fluorescence intensity ratio method are kept, and temperature measurement accuracy is further improved. The correction method is applied to the rare earth fluorescence temperature measurement field.

The invention relates to a correction method of an up-conversion fluorescence strength ratio temperature measurement technology. The objective of the invention is to solve the problem about inaccurate temperature measurement results of an existing temperature measurement technology. The method comprises that exciting light emitted by an exciting source is gathered by a convex lens and then irradiated on a temperature sensing material, up-conversion fluorescence emitted by the temperature sensing material is gathered by the convex lens and then irradiated into a spectrograph, the spectrograph is connected to a storage oscilloscope and a computer to realize data processing, a correction curve is given and finally the method is completed. The correction method provided by the invention eliminates deviations between a fluorescence strength ratio and Boltzmann distribution laws, maintains advantages of a fluorescence strength ratio method such as good resistance to interference, good stability and high sensitivity, and increases accuracy of temperature measurement. The correction method of the up-conversion fluorescence strength ratio temperature measurement technology provided by the invention is applied in the field of rare-earth fluorescence temperature measurement.

The invention discloses a preparation method and use of R-imazamox. The preparation method comprises the steps of: S1: dissolving Rac-imazamox in isopropanol to prepare a stock solution, utilizing a semipreparative chiral column OJ-H column, and using high-performance liquid chromatography for chiral resolution to obtain two enantiomers; S2: subjecting the enantiomers to nitrogen blowing, then using n-hexane for redissolving, and conducting electronic circular dichroism test to obtain spectral feature graphs of the two; S3: conducting conformational search on the standard structures of R- andS- in imazamox, carrying out geometry optimization on the obtained preferred conformations, calculating circular dichroism spectra of the preferred conformations, and then superimposing the spectra ofthe conformations according to Boltzmann distribution numbers thereof so as to obtain calculation spectrograms of R-imazamox and S-imazamox; and S4: comparing the spectral feature graphs obtained byexperiments with the spectrograms obtained by calculation to confirm R-imazamox. The method provided by the invention can rapidly prepare high purity and hundred milligram grade high efficiency and low toxicity R-imazamox, and the enantiomer representation method is more universal.

The invention provides a method for determining the convective heat transfer coefficients of a porous medium and relates to the technical field of porous media. The method comprises the steps that a random three-dimensional porous medium is generated on the basis of a process reconstruction technology and the equivalent diameters of support bodies forming a porous framework are obtained; a latticeBoltzmann distribution function of a temperature field and a velocity field is built on the basis of the migration and collision relation of fluid particles in a lattice Boltzmann model and the macrovariable of the fluid is computed; the Reynolds number of the fluid is computed according to the equivalent diameters of the support bodies and the macro variable of the fluid; the boundary distribution function is obtained on the basis of the boundary conditions of the lattice Boltzmann model and whether the condition of convergence is met is judged so as to end computing when the condition of convergence is met; the porposity, the Reynolds number and the Prandtl number of the random three-dimensional porous medium are fitted on the basis of the final temperature field distribution so as toobtain the empirical correlation of the convective heat transfer coefficients of the random three-dimensional porous medium. The method for computing the convective heat transfer coefficients is simple and has excellent universality.

The invention discloses a three-dimensional probability forming carrier-free amplitude phase modulation method. According to the method, maximum CFM serves as a design principle, input original data firstly enter a geometric forming probability forming unit, three-dimensional constellation geometric forming with a regular tetrahedron as a primitive is conducted, and probability forming is conducted according to Maxwell-Boltzmann distribution; a constellation mapping unit is entered to perform three-dimensional constellation mapping; an up-sampling unit is entered, and multiple up-sampling operations required before a filter are carried out; then three filter units are entered, so that information of the constellation symbol in three dimensions respectively enters the three mutually orthogonal FIR filters for shaping and filtering; finally, the three paths of parallel signals are added under the effect of an adder unit, 3D-PS-CAP modulation is completed, and constellation points are gathered inwards as much as possible; then probability forming is carried out according to Maxwell-Boltzmann distribution, the probability distribution of the constellation is optimized, the average energy of the constellation is further reduced, and the CFM of the constellation is increased. And the bit error rate performance of the modulation system is effectively improved through the combined effect of geometric forming and probability forming.

The present invention belongs to aerosol filter and relative equipment detecting technology field, relates to a aerosol electrostatic eliminator, comprising an electrostatic eliminating box, high voltage electrical source output device, and two high voltage electrodes, the electrostatic eliminating box is arranged with an air inlet, an air outlet and a mixed air open, the air inlet position opposites to the air outlet, the two high voltage electrodes separately are fixed at two sides of the box, the box inner is fixed with earth-plate, the output of the high voltage electric source output device connect to the two high voltage electrodes. The present invention can balance charge of the aerosol under the condition without change the ratio of particle size shift, leading charge distribution to content Boltzmann distribution.

The invention discloses an analyzing method of gas discharge experiment under an unconventional condition, belonging to the technical field of high-voltage and high-energy physical gas discharge. The analyzing method is used for solving the problem that information expressed by an air-gap discharge signal cannot be analyzed as the experimental means of the gas discharge process under the unconventional condition are laggard, and the discharge process state cannot be accurately obtained. The analyzing method comprises the following steps: firstly, obtaining spectral line intensity Inm when particles jump towards low energy level Em from high energy level En; obtaining a relative intensity ratio of two spectral lines, under the public low energy level, of the particles; establishing boltzmann distribution equation, and calculating according to the particle density ratio on the two energy levels Em and En of the same particles when the particles achieve thermodynamic equilibrium or local thermodynamic equilibrium to obtain a particle temperature T; and obtaining the particle density distribution by determining the spectral characteristic of a gas medium in a sealed discharge chamber according to the particle temperature T. The analyzing method disclosed by the invention is used for analyzing the gas discharge process.

The invention relates to a dynamic probability 16cap mapping encryption method, and the method comprises the following steps: setting an initial value X(0) and a parameter u, and generating an outer-layer chaotic sequence; sequentially taking an element and a parameter u in the outer-layer chaotic sequence as secret keys, generating a plurality of strings of inner-layer chaotic sequences, and enabling the inner-layer chaotic sequences to be in one-to-one correspondence with time sequences; disordering the inner-layer chaotic sequence into non-uniform distribution conforming to Gaussian distribution through CCDM; and changing the occurrence probability of the 16CAP signal in each circle in the constellation diagram through the non-uniformly distributed inner-layer chaotic sequence, so thatthe probability distribution of the inner circle and the outer circle conforms to Maxwell-Boltzmann distribution. According to the method, the non-uniformly distributed chaotic sequence and the signalare subjected to exclusive-OR processing, and the constellation point probability is dynamically adjusted, so the constellation point generation probability conforms to Gaussian distribution. The 16CAP signal constellation diagram inner ring probability is increased, the 16CAP signal constellation diagram outer ring probability is reduced, the effect of reducing the optical power and the bit error rate of a receiving end can be achieved, and the signal transmission rate is indirectly improved. According to the invention, probability forming is applied to chaotic encryption, so the security ishigher.

The invention relates to the resource allocation field of wireless networks, and particularly to methods of active pre-caching in heterogeneous wireless network and a device. Concernment on content pre-caching in wireless communication is caused for using renewable energy sources and saving traditional energy sources. The methods focus on the purpose of content pushing and caching for improving agreen energy source utilization rate and saving the traditional energy sources. State transition probability and future reward in a mobile environment are unknown, thus the methods utilize reinforcement learning to solve the problems of green-energy-source allocation and content pushing. Q learning is a model-free reinforcement-type learning technology, and can find a best action selection strategy in the MDP problem. A Boltzmann distribution method is used for updating the strategy, and the methods can obtain best action in each state according to a Q table after the Q table is stable.

The invention relates to a multi-absorption-line gas temperature measurement method. According to a characteristic that particle number distribution of ground state gas molecules on different energy levels accords with a Boltzmann distribution rule, a high resolution absorption spectrometer is used to measure a fine absorption spectrum of a gas, a series of processing is performed on absorption intensity distribution of each absorption line in the absorption spectrum, and then a gas temperature can be acquired. In a traditional absorption spectrum gas temperature measurement method, one or twoabsorption lines are adopted and absorption information which can be used is less so that the accuracy of a temperature measurement result is poor. In the invention, more absorption lines are adoptedto absorb intensity information so that the accuracy of the temperature measurement result is good. Through the method, an accurate non-Intrusive optical diagnosis method is provided for the temperature measurement work of the ground state gas molecules.

The invention discloses a strong truncation photon compression system and method under an ultra-large constellation scale so that ultra-large constellation scale is reduced to a small-scale constellation for light transmission. The compression degree of the whole constellation is changed by changing the compression parameters, so that the size of the constellation is greatly reduced. In the compression process, the constellation point probability is in Maxwell Boltzmann distribution, the center probability is the highest, and the probabilities of the two sides are gradually reduced, so that compared with an original signal under an ultra-large constellation scale, the signal has lower transmitting power, and the overall cost of optical communication is saved. Different compression parameters can change the size of a constellation to form constellation diagrams with different probability distributions, information entropies can be different along with the difference of the probability distributions, and the transmission bit rate can be changed along with the information entropies under the condition that the Baud rate is not changed. At a receiving end, if signals with different compression parameters are received, the access rates are different, so that the optical communication system also has certain flexibility.

The invention provides a method and a device for calculating electron energy level distribution of gas molecules. The method comprises the following steps: determining macroscopic parameters of target gas molecules in a one-dimensional flow field; the macroscopic parameters comprise the number density of target gas molecules of each node in the one-dimensional flow field; according to the number density of the target gas molecules, calculating the number density of all electron energy levels of the target gas molecules at an initial node in the one-dimensional flow field by using a Boltzmann distribution formula; determining the number density of all electron energy levels of a next node of the initial node according to the number density of all electron energy levels of the initial node, the convection term of the initial node and the excitation term of the initial node; and taking the next node of the initial node as a new initial node until the electron energy level distribution of the target gas molecules in the one-dimensional flow field is obtained. According to the scheme, the calculation amount can be reduced, and the calculation precision of the electron energy level distribution of the gas molecules in the thermodynamic unbalanced hypersonic flow field can be ensured.

The invention discloses a calculation method and system for particle energy level population in non-local thermodynamic equilibrium plasma, and the particle energy level population in the non-local thermodynamic equilibrium plasma is calculated by utilizing the following formula shown in the specification. Non-equilibrium bound state characteristic temperature capable of reflecting the degree of the plasma deviating from the local thermodynamic equilibrium state is introduced; derivation is performed to obtain an improved Saha equation; meanwhile, the non-equilibrium bound state characteristictemperature is applied to an existing Boltzmann distribution formula, and a modified Boltzmann distribution formula is obtained. The method is suitable for both local thermal dynamic balance plasma and non-local thermal dynamic balance plasma. For non-local thermodynamic equilibrium plasmas, due to the fact that an energy level population rate equation set does not need to be solved, rapid and efficient particle energy level population calculation can be achieved while certain precision is guaranteed.

The invention relates to a user power consumption data anomaly detection method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring historical power consumption data of a user and real power consumption data at the current moment; inputting the historical power consumption data into a trained anomaly detection model, determining a first Boltzmann distribution feature of the historical user data, and outputting predicted power consumption data at the current moment according to the first Boltzmann distribution feature; calculating according to the predicted power consumption data and the real power consumption data to obtain the distance between the predicted power consumption data and the real power consumption data; and when the distance is greater than a preset threshold value, marking the real power consumption data as abnormal power consumption data. By adopting the method, the accuracy of abnormal power consumption data identification can be improved.

The invention discloses a high-temperature gas measurement and calculation fusion method based on particle energy level population, which adopts the energy level population of particles such as atoms, molecules, ions and the like to characterize the state of high-temperature gas, and takes the energy level population as a measurement target of a high-temperature gas test research means and a calculation target of a numerical simulation means. Therefore, effective fusion of the two means is promoted, and a hypersonic high-temperature gas non-equilibrium flow research method is expanded. According to the high-temperature gas measurement and calculation fusion method based on the particle energy level population, the particle energy level population is adopted to represent the state of the high-temperature gas, the method does not depend on the equilibrium hypothesis that the particle energy level obeys the Boltzmann distribution function and is more fundamental than the temperature state parameter, quantum state resolution of the state of the high-temperature gas can be achieved, and the method is suitable for large-scale popularization and application. The device is more suitable for non-equilibrium high-temperature gas flow research.

The invention relates to a WDM-PON (Wavelength Division Multiplexing-Passive Optical Network) system based on PS-PAM4 and a WDM-PON system based communication method, which change the distribution probability of each amplitude in a PAM4 signal according to Maxwell-Boltzmann distribution, reduce the nonlinear effect of the signal and realize the transmission with low bit error rate and high receiving sensitivity. According to the invention, the shaping gain can be obtained and the nonlinear effect of the WDM-PON can be improved.

The invention discloses a high-sensitivity up-conversion temperature measurement material as well as a preparation method and application thereof. The general structural formula is MA2O4: xEr<3+> / yYb<3+>, wherein M is selected from Ca, Sr or Ba, and A is selected from La or Lu; x: y is equal to (1-15):20. The material adopts laser of 980nm as an excitation light source, and emits emission peaks ofthermally coupled energy levels at 540 nm and 552 nm respectively. By utilizing the fact that the number of particles on the thermally coupled energy levels of rare earth ions follows the Boltzmann distribution law, the layout of the number of particles and the temperature have a quantitative relationship, so that the measurement of actual temperature is realized. The method is extremely small inerror and high in sensitivity, effectively realizes fast response and real-time monitoring of subtle changes of the temperature, also has the advantages of simple preparation, ready availability of the raw materials, stability, reliability, low cost and the like, and is suitable for being widely applied and popularized.

The invention relates to a temperature measurement method and device, a temperature measurement sensor and a computer readable storage medium. The invention discloses the temperature measurement method and device and the temperature measurement sensor. The temperature measurement sensor comprises a pump light source, a temperature measurement material, a spectrum collector, a processor, and a memory arranged to store computer executable instructions. The temperature measurement method comprises the following steps: obtaining a plurality of emission peaks satisfying a Boltzmann distribution rule by using a PL spectrum of the temperature measurement material, wherein the plurality of emission peaks are derived from Stark split energy level transition radiation; calibrating response of fluorescence intensity ratio between every two emission peaks to different temperatures to obtain a plurality of temperature response functions; determining a use temperature range and a temperature measurement parameter of each temperature response function; according to an integration principle of optimal temperature measurement parameters in the whole temperature zone of the temperature measurement material, integrating the use temperature ranges of the temperature response functions to obtain integrated temperature measurement criteria associated with the temperature measurement parameters; and when temperature detection is carried out, determining key temperature measurement parameters, and carrying out temperature detection by using the temperature measurement criteria associated with the key temperature measurement parameters.

The invention discloses a method determining single molecule chain charge state evolution in a polyelectrolyte conformation conversion process; the method imports a fluorescence fluctuation spectrum with the single molecule sensitivity to determine the charge state evolution on a single molecule level in a polyelectrolyte conformation conversion process. The method comprises the following steps: carrying out association analysis for fluorescence fluctuation signals so as to obtain molecule dimension information, thus expressing the molecule conformation conversion process; parsing the fluorescence fluctuation signal intensity distribution so as to obtain molecule brightness; comparing free fluorescence probe ions with probe ion brightness information, and combining with Boltzmann distribution treatment so as to obtain the polyelectrolyte molecule local electromotive force information, and thus obtaining the charge state evolution information in the whole molecule conformation conversion process. The method can be widely applied to charged characteristic researches on molecule comformational changes (like nucleic acid folding behaviors) in a multi-charge soft substance system and especially related to biology, and can provide guidance for designing intelligent nano-materials based on said characteristics.

The present disclosure provides methods and systems for stochastic optimization of a robust inference problem using a sampling device. Specifically, the methods and systems of the present disclosure enable smoothing of objective functions, thereby making such functions amenable to computation via stochastic-gradient methods using sampling in place of solving the inference problem exactly. Such methods and systems advantageously connect the gradient of the smoothed function approximation to a Boltzmann distribution, which can be sampled by a sampling device, such as a Gibbs sampler, using a simulated process and / or quantum process, in particular quantum-annealing process, thermal or adiabatic relaxation of a classical computer, semi-classical computer, or a quantum processor / device, and / orother physical process.

The invention discloses a highly-potent herbicide R-acetochlor and a preparation method therefor. The preparation method comprises the following steps: S1: dissolving Rac-acetochlor in ethanol so as to prepare a stock solution, then, carrying out chiral resolution on the stock solution by high-performance liquid chromatography, and carrying out separation, so as to obtain two types of enantiomers; S2: subjecting the prepared two types of enantiomers to electronic circular dichroism testing and vibrating circular dichroism testing separately, so as to obtain respective characteristic spectrograms of the two types of enantiomers; S3: carrying out conformation searching on standard structures of R-acetochlor and S-acetochlor, carrying out geometric optimization on obtained preferential conformations, calculating circular dichroism spectrograms of these preferential conformations, and superimposing the spectrograms of all the conformations according to Boltzmann distribution numbers of the spectrograms, so as to obtain calculated spectrograms of the R-acetochlor and S-acetochlor; and S4: comparing the characteristic spectrograms of the two types of enantiomers obtained in the step S2 with the calculated spectrograms obtained in the step S3, confirming the R-acetochlor. According to the preparation method, the time for separating acetochlor enantiomers is shortened, and highly-potent acetochlor can be extensively and rapidly prepared.

The invention relates to a malicious interference-oriented unmanned aerial vehicle group dynamic spectrum allocation method and system, and relates to the field of unmanned aerial vehicle electromagnetic spectrum allocation, and the method comprises the steps: initializing the channel selection probability of a jammer, and carrying out the channel selection according to the channel selection probability of a current period; initializing an unmanned aerial vehicle user channel allocation probability, and performing channel allocation according to the channel allocation probability of the current time slot tau; calculating own utility; updating the channel allocation probability of the tau + 1 time slot; judging whether the unmanned aerial vehicle user is stable or not, if so, ending, and otherwise, returning to the step of performing channel allocation by the unmanned aerial vehicle according to the channel allocation probability of the current time slot tau; the jammer updates the Q value according to the benefit function; the jammer updates the channel selection probability according to the Boltzmann distribution rule; and when the channel selection probability pJ (t + 1) of the jammer is equal to pJ (t) or the maximum number of iterations is reached, ending. According to the method, the dynamic spectrum allocation of the unmanned aerial vehicle group can be realized under the malicious interference condition.

The invention relates to a screening method of a dye. After a dye structure is designed, an ultraviolet-visible absorption spectrum of a dye solution is predicted, the color of the dye is determined accordingly, and the dye satisfying the requirements in color is screened; the prediction process is as follows: firstly, obtaining the conformation of dye molecules in the dye solution, then optimizing the conformation in a implicit solvent model by successively using a quantum chemistry program combined with a semi-experience level quantum chemistry method and a DFT-level quantum chemistry method, and finally drawing a conformation weight average spectrum according to a Boltzmann distribution ratio of the optimized conformation to obtain the ultraviolet-visible absorption spectrum; and a basis set cooperatively used with the DFT-level quantum chemistry method is a 3-zeta or 2-zeta plus diffused basis set. The screening method provided by the invention has good universality and is applicable to dyes of different structure types; and the accurate ultraviolet-visible absorption spectrum can be obtained to accurately reflect the characteristics of the dyes.

The invention discloses a high potent herbicide R-napropamide and a preparation method thereof. The method comprises the following steps: S1, dissolving Rac-napropamide into ethyl alcohol to obtain astock solution; and performing chiral resolution on the stock solution through high performance liquid chromatography to obtain two types of enantiomers; S2, correspondingly performing electronic circular dichroism and vibration circular dichroism test on the prepared two types of enantiomers so as to obtain spectrograms of the two types of enantiomers; S3, performing conformation search on standard structures of R-napropamide and S-napropamide; performing geometry optimization on the obtained preferential conformations; calculating circular dichroism spectra of the preferential conformations;and overlapping the spectra of each conformation based on related Boltzmann distribution number to obtain calculation spectra of R-napropamide and S-napropamide; and S4, comparing the spectrograms ofthe two types of enantiomers with the calculating map obtained in step S3, and determining the R-napropamide. According to the method, the time of separating enantiomers of napropamide is decreased,and high potent napropamide can be quickly massively prepared.