45results about How to "The result is highly accurate" patented technology

The present invention relates to a determination method for covering power of titanium dioxide, and belongs to the field of titanium dioxide production. The present invention provides a determination method for the covering power of the titanium dioxide, wherein the concrete steps comprise that: a varnish and a titanium dioxide specimen are uniformly stirred and mixed to obtain a titanium dioxide paint paste; B the titanium dioxide paint paste is respectively coated on a whiteboard and a blackboard to form coating films, and a natural air drying treatment is performed on the coating films at a room temperature; and C the reflectivity on the whiteboard after film coating and the reflectivity on the blackboard after film coating are respectively determined, and the reflectivity on the blackboard is divided by the reflectivity on the whiteboard to calculate the contrast ratio to characterize the covering power of the titanium dioxide. The method of the present invention is adopted to determine the covering power of the titanium dioxide, such that result has the high precision, the operation is simple and feasible, and the analysis process is rapid and effective.

The invention discloses a convolutional neural network generation method used for vehicle series identification of a vehicle in an image, a vehicle series identification method, a computing device anda mobile terminal. The convolutional neural network generation method comprises the steps that a first processing block is constructed, wherein the first processing block comprises a first convolution layer; a second processing block is constructed, wherein the second processing block comprises a second convolution layer and a third convolution layer and the second convolution layer and the thirdconvolution layer are sequentially connected; according to a number of first processing blocks, second processing block and pooling layers, a full connection layer and a classifier are combined to construct a convolutional neural network; the convolutional neural network uses the first processing block as input and the classifier as output; the convolutional neural network is trained according toa pre-acquired vehicle image data set, so that the output of the classifier indicates a vehicle series corresponding to the vehicle; the vehicle image data set comprises a lot of vehicle image information; and each piece of vehicle image information comprises the vehicle image and the vehicle series information of the vehicle in the corresponding image.

The invention relates to a method for determining surfactant critical micelle concentration (CMC) based on the terahertz time-domain spectroscopy technology. The method comprises the steps that 1, a sample pool suitable for terahertz spectrum detection is prepared; 2, surfactant solution samples with different concentrations crossing four orders of magnitudes from 0.1 mM to 100 mM are prepared; 3, terahertz time-domain spectrum of a sample solution to be detected is measured and obtained, a relation spectrogram between the concentrations of the samples and terahertz absorption coefficients or refractive indexes are calculated and obtained through a formula, and the concentration, corresponding to a turning point of the spectrogram, of the surfactant sample is determined; 4, surfactant water solution samples which have a series of concentrations with smaller intervals are prepared according to the concentrations selected close to the determined sample turning point concentration; 5, terahertz time-domain spectra of sample solutions to be detected are measured and obtained again; 6, relation spectrograms between the concentrations of the samples to be detected and terahertz absorption coefficients or refractive indexes are calculated and obtained again, and the CMC of a surfactant is determined through spectrogram information. The method has the advantages of being rapid, free of marks, easy to operate, wide in application range, good in repeatability, high in result accuracy and the like.

The invention provides a pipeline corrosion detector and a detection method thereof. The pipeline corrosion detector comprises a pipeline crawl device, multiple terahertz exploring and receiving devices, a terahertz detection system, a data processing system and a corrosion degree display panel; the pipeline crawl device conveys multiple probes carrying the multiple terahertz exploring and receiving devices into a to-be detected pipeline; the terahertz exploring and receiving devices receive laser emitted by the terahertz detection system, excite terahertz wave and transmit terahertz signals reflected by the internal surface of the to-be detected pipeline to the terahertz detection system; the terahertz detection system generates terahertz spectrum information according to the terahertz signals reflected by the internal surface of the to-be detected pipeline and transmits the terahertz spectrum information to the data processing system; and the data processing system processes the terahertz spectrum information, generates a corresponding relationship between the terahertz spectrum information and corrosion degree, and displays the corresponding relationship on the corrosion degree display panel.

The invention relates to a high flux quantitative analysis method for visible components in human or animal excretion, which comprises the following steps: sampling with limitation, quantitative dilution, stirring, measurement, injection into counting cell, image acquisition and analysis, etc. The invention has the advantages that the method can be used for quantitative analysis and can precisely count number of visible components in per volume or weight of human or animal excretion with accurate result, thereby avoiding uncertainty in traditional sampling analysis method.

The invention relates to an urban energy development monitoring method based on energy structure analysis. The method comprises the steps: 1, obtaining urban power consumption data, and carrying out the preprocessing of the data; 2, constructing an urban energy development ground state index model; 3, obtaining a related weight matrix of the urban energy development monitoring index system; 4, obtaining the weight of each index in the urban energy development monitoring index system model; and 5, calculating an urban energy development ground state index, and carrying out comprehensive evaluation on the urban energy development situation to complete monitoring of urban energy development. Compared with the prior art, the method has the advantages of truly reflecting the urban energy development level, being wide in coverage and the like.

The invention discloses a polymer film conformation transition temperature detection method and system. The method comprises the following steps: measuring a terahertz time-domain spectral signal of atemperature control sample pool; selecting a temperature point according to a first preset interval in the temperature rise range of the temperature control sample pool to measure a first terahertz time-domain spectral signal of the thin film sample; determining the turning temperature of the film sample according to the terahertz time-domain spectral signal of the temperature control sample pooland the first terahertz time-domain spectral signal; selecting a temperature point according to a second preset interval within a preset temperature range of the transition temperature to measure a second terahertz time-domain spectral signal of the thin film sample; and determining the conformational transformation temperature of the film sample according to the terahertz time-domain spectral signal of the temperature control sample cell and the second terahertz time-domain spectral signal. The terahertz time-domain spectroscopy technology is used for detecting the conformational transformation temperature of the polymer film, so that the method has the advantages of being rapid, free of marks, easy to operate, wide in application range, good in repeatability, high in result accuracy andthe like.

The invention discloses an information system security deep threat early warning system and method, and the method comprises the steps: building an internal asset list of an information system to forma basic information base, building a vulnerability information base, and obtaining the updating vulnerability information in real time; matching the vulnerability information, and accurately positioning specific equipment in the information system; and after matching succeeds, automatically generating a vulnerability notification. According to the scheme, vulnerabilities existing in the information system can be actively found in time, corresponding security maintenance personnel can be actively notified in time, accurate early warning is achieved for security threats, and the security of theinformation system is greatly improved.

The invention discloses a distributed optical fiber gas detecting device and method based on a sweep frequency technology. The device comprises a first laser, a first isolator, a first coupler, an acousto-optic modulator, a sensing fiber, a second erbium-doped fiber amplifier, a second laser, a second coupler, a scrambler, a third coupler, a fourth coupler, a fifth coupler, a first photoelectric detector, a second photoelectric detector, and a pulse generator. With the sweep frequency technology, each detection point on the sensing fiber is scanned by multiple times to realize effective suppression of a dead zone. A detection pulse signal generates a back-scattered Rayleigh scattering signal in the sensing fiber; and phase information of the reflected Rayleigh scattering signal is detectedto obtain concentration and composition information of the gas along the sensing fiber is obtained. The method is simple; the high-precision gas concentration information detection can be realized; and the detection of different gas has high applicability.

The invention provides a pig temperature and heart rate monitoring device based on a fiber grating sensor, comprising an ear tag and a monitoring unit, wherein, the ear tag comprises a light emittingdiode, a circulator, a fiber grating sensor, a fiber grating demodulator, a battery and a signal processing and transmitting unit; the monitoring unit receives a signal sent from a signal processing and transmission unit and displays temperature and heart rate information of a pig to be detected; and the ear tag is a sensing device of the monitoring device, which comprises a light emitting diode,a ring, a fiber grating sensor, a fiber grating demodulator, a battery, a signal processing and transmitting unit connected in turn. The pig temperature and heart rate monitoring device based on a fiber grating sensor can realize simultaneous detecting of body temperature and heart rate of live pigs by utilizing the sensitive characteristics of the optical fiber grating sensor to the temperature and heart rate beat of live pigs, and has the same applicability to the temperature and heart rate detecting of a plurality of organisms.

A virtual inertia configuration method based on a Voronoi diagram centroid interpolation method. The method comprises establishing a new energy system second-order dynamic model optimization model; establishing a system virtual inertia planning model; solving the system virtual inertia configuration optimal value by the Voronoi diagram centroid interpolation method; and verifying the advantages and disadvantages of a result by a phase angle difference oscillation between nodes. The method is fast in convergence speed, high in result precision, automatic in search range adjustment, and less likely to fall into the local optimal solution.

The invention discloses a masson pine SNP (single nucleotide polymorphism) genotyping method based on the HRM (high-resolution melt) technology, and belongs to the technical field of genetic engineering. The masson pine SNP genotyping method includes screening ten SNP loci, designing corresponding primers, extracting genomic DNA of masson pines, carrying out PCR reaction and HRM analysis, collecting data, performing SNP locus genotype analysis on each sample, and creating SNP fingerprints of the masson pine samples by the method. The masson pine SNP genotyping method has the advantages of simplicity, convenience and rapidness in operation, low cost, accurate result, and capability of being applied to molecular marker assisted breeding and genetic resource diversity research.

The invention relates to a rock failure acoustic emission sub-dominant frequency identification and extraction method. Standard cylindrical samples of rocks with different geological causes are prepared, acoustic emission sensors are uniformly arranged on the side surfaces of the standard cylindrical samples in the circumferential direction, a uniaxial compression experiment is carried out, and the acoustic emission sensors receive original acoustic emission waveforms released in the whole process from the beginning of loading to complete destruction of the rock samples, de-noising processing and fast Fourier transform are carried out on the original acoustic emission waveform in sequence to obtain a two-dimensional spectrogram, and fuzzification processing is carried out to obtain a fuzzified two-dimensional spectrogram; an acoustic emission signal with a secondary dominant frequency characteristic is captured and identified, and an acoustic emission dominant frequency and a secondary dominant frequency of the acoustic emission signal are extracted; acoustic emission signals of different lithologic samples in the whole process from loading to complete destruction are collected, acoustic emission signal frequency domain data of rock damage and destruction moments are obtained, for acoustic emission signals with sub-dominant frequency characteristics, the types of the acoustic emission signals are judged, the center frequency is calculated, and a destruction mode is described in combination with a sample destruction load-time curve.

The invention relates to the technical field of measurement, and discloses a rotational inertia test method which comprises the following steps: step 1, determining an inertia range; step 2, designinga standard inertia disc; step 3, testing and acquiring the acceleration value of the standard inertia disc under a constant torque; step 4, fitting a smooth continuous curve; step 5, testing the tested assembly; and step 6, calculating the actual inertia value. The equivalent moment of inertia of the measured assembly with a complex structure can be directly measured, the method is convenient tomeasure and high in result accuracy, the obtained inertia value can be directly used for design and calculation of parts associated with the measured assembly without measuring all the parts of the measured assembly one by one like the existing method, and thus the measurement efficiency and the measurement accuracy are higher.

The invention relates to the field of intelligent hardware, is used for solving the problems of low detection efficiency and serious human resource waste of an existing pulling sheet detection device, and particularly relates to an intelligent automatic detection equipment for an pulling sheet at the air outlet of an automobile air conditioner. The intelligent automatic detection equipment comprises a main box body, a detection box body is fixedly mounted at the top of the main box body, and a conveying groove is formed in the top surface of the main box body; and first conveying rollers which are uniformly distributed are arranged between the inner walls above the conveying groove, second conveying rollers which are uniformly distributed are arranged between the inner walls below the conveying groove, discharging mechanisms are arranged on the two sides of the top face of the main box body, a partition plate is fixedly installed on the inner top wall of the detection box body, and openings are formed in the two inner side walls of the detection box body. By designing the detection logic from a detection area A to a detection area D and from a detection area B to a detection area C, the pulling sheet can be turned over after passing through one-time surface detection and weight detection, and it is guaranteed that multiple surfaces of the pulling sheet can be subjected to surface quality detection.

The invention provides a flue gas component concentration monitoring device and method based on ZigBee wireless transmission. The flue gas component concentration monitoring device based on ZigBee wireless transmission comprises a laser, a first coupler, a to-be-monitored gas chamber, a first photoelectric detector, a reference gas chamber, a second photoelectric detector, a second coupler, an amplification circuit, an A/D conversion circuit, a ZigBee transmission module, a ZigBee coordinator and a signal processing and display unit. According to the flue gas component concentration monitoring device and method based on ZigBee wireless transmission, the concentrations of components of flue gas to be monitored are compared and analyzed based on the principle of laser source differential absorption in combination with normal data of the components in the flue gas, the result is transmitted through a wireless transmission system, and then people can be kept away from flue gas emissions to relieve harm to human bodies; besides, monitoring efficiency is improved.

The invention discloses a method for identifying ilex germplasm by utilizing an SSR molecular marker, and belongs to the field of biotechnology. The method disclosed by the invention comprises the following steps: carrying out PCR amplification by using the SSR molecular marker, wherein the SSR molecular marker is one or more of the following three SSR molecular marker primers: IL-35, IL-104 and IL-105 separately. The method is high in polymorphism detection rate, better in resolution, stable, reliable, simple and efficient.