53results about How to "Strong analytical skills" patented technology

The invention discloses a hybrid nuclear power plant fault diagnosis method, belonging to the technical field of fault diagnosis. The method comprises a step of collecting operation parameters in a diagnosed system and transmitting the parameters to an established mechanism simulation model, a step of calculating a residual error on real-time data and a corresponding parameter obtained by simulation model calculation, a step of judging a result or result set of a fault type when the calculated residual error exceeds a limit value, a step of adding a diagnosis result into the simulation model to carry out fault verification, a step of selecting a part of operation parameters obtained by measurement as evaluation parameters, and determining a data analysis model of a Mahalanobis distance function for fault degree evaluation, a step of calculating a Mahalanobis distance value, and establishing evaluation curves of different fault modes, and a step of calculating the Mahalanobis distance function distance value of actual fault data by using the operation data of the diagnosed system after failure, and establishing evaluation curves under different fault degrees to carry out match analysis to complete the quantitative assessment of a fault degree.

The invention provides a detection method of five types of compounds in Xuebijing injection. The detection method comprises the following steps: 1) preparing a solution to be detected; 2) preparing a standard solution; 3) simultaneously determining the content of any one or more components in a first type compound, a second type compound and a fifth type compound excepting adenine and adenosine by adopting an ultrahigh performance liquid chromatography-mass spectrometry system; 4) simultaneously determining the content of any one or more components of a third type compound by adopting an ultrahigh performance liquid chromatography-high resolution mass spectrometry system; 5) simultaneously determining the content of any one or more components in a fourth type compound and adenine and adenosine components in the fifth type compound by adopting the ultrahigh performance liquid chromatography-mass spectrometry system. The detection method of five types of the compounds in the Xuebijing injection, provided by the invention, can be used for accurately and comprehensively detecting chemical components in the Xuebijing injection in a high throughput manner; and the detection method has positive significance on improvement of quality control levels in an agent processing and production process and reasonable drug selection in clinical researches.

The invention discloses a method for determining the content of pigments in mixed pigment solutions by adopting three-dimensional fluorescence spectroscopy combined with the PARAFAC (parallel factor analysis) algorithm. According to the method, firstly, a correction sample set is formed by preparing multiple mixed pigment solutions according to different concentrations, then three-dimensional fluorescence spectra of the correction sample set and the background are measured, measured signals are pre-processed, a three-dimensional data matrix after pre-processing is analyzed with the PARAFAC algorithm, a correction model is established according to an analysis result, and the content of the pigments in unknown samples is predicted with the correction model. The method overcomes the defects of tedious process, time consumption of detection, higher detection cost and the like of a traditional chemical detection method, the concentration of each pigment in the to-be-detected samples can be determined rapidly, the method has the advantages of rapidness, safety, reliability, simple operation, lower cost and the like, technical support is provided for determination of synthetic edible pigments in food, and supervision of the food industry and protection of consumer interests are facilitated.

The invention discloses a signal assessment and improvement system of a remote monitoring device and a control method. The system comprises an elevator control system used for controlling elevator running, the remote monitoring device used for receiving and transmitting elevator running information, a signal base station for transferring data and a cloud server; and the remote monitoring device comprises a data processing module and an antenna module, and the antenna module comprises an antenna and a signal strength detection device. During installation or debugging of the remote monitoring device, the remote monitoring device continuously transmits testing data packages to the cloud server through the signal base station, the cloud server responds the remote monitoring device and feeds back testing data, the remote monitoring device receives the fed-back data and conducts statistics on signal reliability at the position, and the best antenna placing position at the current environment is comprehensively operated in cooperation with signal strength data fed back by the signal strength detection device. Meanwhile, when an elevator runs, telecommunication abnormal failures are fed back when it is detected that the current signal reliability is too poor.

The invention provides a method for detecting a plurality of small molecular chemical components in a Xuebijing injection. The method comprises the following steps: step one, preparing a sample solution; step two, preparing a first standard solution; step three, preparing a second standard solution; and step four, carrying out measurement on the sample solution, the first standard solution and thesecond standard solution by using a high performance liquid chromatography-mass spectrometry method, quantifying 57 kinds of small molecule chemical components in the sample solution by using a standard curve method and then determining contents of other 66 kinds of small molecule chemical components with structures similar to those of the 57 small molecule chemical components that are determinedin a quantified mode in a semi-quantitative manner. According to the method provided by the invention, 123 traditional Chinese medicine small molecule compounds can be quantitatively or semi-quantitatively detected with high flux and high sensitivity and a key technical way is provided for optimizing the preparation process of Xuebijing and improving the product quality uniformity.

The invention discloses an image splicing fusion system in the technical field of video image processing. The image splicing fusion system comprises an image collection module which is in electrical output connection with an image processing module, the image processing module is electrical output connection with a video flow server, a GPRS (general packet radio service) network unit is in electrical output connection with an image splicing fusion unit, and a wireless communication module is in electrical output connection with an equipment terminal. Detection and tracking of a moving target in a splicing image are implemented through the image splicing fusion unit, display through multiple video windows is avoided, an observer is enabled to concentrate on observing an image, and receiving multiple video flows is changed into receiving one video flow, so that resources of a computer are saved, and operand of the image processing module is reduced; splicing imaging is performed after processing through a fusion algorithm. The image splicing fusion system is high in fault tolerance and openness, short in processing time, low in data requirement and high in analysis capability.

The invention relates to a fluorescent alga in-situ analysis device based on beam splitting and combining of a broadband spectrum. A beam shaping element, a broadband spectrum beam splitting element, a collimation shaping element and a movable light passing hole are sequentially arranged on a broadband spectrum light source emergent light path; a beam converging element, a broadband spectrum beam combining element, an excitation beam shaping element and a fluorescent excitation focusing element are sequentially arranged on a fluorescent excitation beam transmitted through the movable light passing hole; a detection converging element, a light filtering element and a fluorescent photoelectric detector are sequentially arranged on a fluorescent light beam path; the fluorescent photoelectric detector detects an alga fluorescent signal converged by the detection converging element and filtered by the light filtering element; a microscope objective, an imaging element and a two-dimension imaging photoelectric detector are arranged in a water body detection area to form an in-situ alga microscope imaging module; and a control analysis part is connected with a displacement control part, the fluorescent photoelectric detector and the two-dimension imaging photoelectric detector to obtain fluorescent information and image information and realize a passing-through function of movable selective-wavelength beams through the movable light passing hole, thereby realizing in-situ alga analysis.

The invention discloses a skin detector with artificial intelligence. The skin detector with artificial intelligence includes a detection module and an artificial intelligence analysis module, whereinthe detection module comprises a base, a housing, a light source device, a picture collecting device, a microprocessor, a first wireless signal transmitter-receiver set and a display device, whereinthe light source device and the picture collecting device are fixedly arranged on the housing; the microprocessor, the first wireless signal transmitter-receiver set and the display device are fixedlymounted on the base; the housing is arranged on the upper surface of the base; the light source device comprises a cross-polarized light source, a standard LED white light source and a multi-spectralLED light source; the picture collecting device comprises a main collecting device and a plurality of auxiliary collecting devices; and the plurality of the auxiliary collecting devices are symmetrically distributed on both sides of the main collecting device, and the picture collecting device is electrically connected to the microprocessor through a signal line. The skin detector with artificialintelligence can obtain the basic situation of the face skin so as to be convenient for people to select skin care products targetedly.

The invention discloses a method for measuring contents of active substances and chemical components of traditional Chinese medicines. The method comprises the following steps: step a, preparing a correcting sample set and a prediction sample set; step b, carrying out three-dimensional fluorescence spectrum measurement on the correcting sample set and the prediction sample set to obtain three-dimensional fluorescence spectrum charts of the correcting sample set and the prediction sample set; step C, preprocessing of data: carrying out wavelet noise reduction processing on spectroscopic data bywavelet transform; and then deducting three-dimensional spectral signals of background from three-dimensional spectral signals of traditional Chinese medicinal materials; and step d, establishment ofa correcting model: analyzing the correcting sample set by using a parallel factor algorithm at first; and then establishing a quantitative regression model, and predicting the concentration of the prediction sample set. The active substances and the chemical components of traditional Chinese medicinal materials and the contents of the active substances and the chemical components can be identified rapidly, sensitively and accurately, and the method is applied to monitoring and evaluating of quality of the traditional Chinese medicinal materials.

The invention discloses a global human mtDNA development tree classified query method based on integrated learning. Artificially-measured mtDNA data is adopted to train a neural network classifier, mtDNA development tree data is adopted to calculate parameters of a naive Bayes classifier, mutation loci of mtDNA to be classified and queried are input into the neural network classifier to obtain thefirst Q possible classifications, merging the mutation loci of mtDNA to be classified and queried and mutation locus sequences corresponding to the first Q possible classifications to obtain input mutation locus sequences of the naive Bayes classifier, calculating to obtain the weights of various mutation loci of the input mutation locus sequences, obtaining first Q possible classification through the naive Bayes classifier, and weighting probabilities of the two groups of mutation locus sequences to obtain the first Q possible classifications as the final classification result. By means of the global human mtDNA development tree classified query method based on integrated learning, the advantages of the neural network classifier and the naive Bayes classifier are comprehensively utilized, and the accuracy of global human mtDNA development tree classified query is improved.

The invention provides a method and a system for determining the state of transformer equipment of a power system. The method comprises the following steps: processing acquired characteristic value data of N gases for determining the state of the transformer equipment of the power system to generate an effective sample set, and distributing the effective sample set according to a preset proportionto generate a training set and a test set; and determining an optimal logistic classifier according to the established logistic regression model, the training set and the test set, and outputting thestate of the transformer of the power system by using the optimal logistic classifier according to the characteristic value data of the N gases in the actual operation of the transformer equipment. According to the method, a positive sample synthesis algorithm is utilized, the accuracy of the model is improved to a certain extent, the requirement of the model for data is low, the analysis capacity for massive transformer gas characteristic values is high, classification can be well achieved, and then the running state of the transformer is judged.

The invention discloses a method for analyzing topological relations between three-dimensional spatial complex objects. The method comprises: inputting a first complex object B1 and a second complex object B2; decomposing the first complex object B1 into n basic objects and the second complex object B2 into m basic objects; solving the topological relation between the basic objects; adopting a complex method to analyze and deduce the topological relation between the basic objects of the first complex object B1 and the second complex object B2; and adopting the complex method to deduce and obtain the nine-intersection topological relation between the first complex object B1 and the second complex object B2. The method has good topological robustness, wide applicable objects, strong topological analysis ability and flexibility and high efficiency.

The invention belongs to the technical field of radar cross sections, and discloses a plane wave discontinuous finite element method for simulating a radar cross section area, which comprises the following steps of: supplying power to a simulated radar system through a power supply module; performing control operation on the radar by using the operation keys through a key operation module; a maincontrol module transmitting wireless electromagnetic waves through an electric wave transmitting module by using a transmitter; receiving returned electromagnetic waves by using a receiving antenna through a radio wave receiving module; Calculating the radar cross section area by using a data calculation program through a cross section calculation module; and carrying out simulation operation on radar electromagnetic waves by using a simulation program through an electromagnetic simulation module. According to the invention, the complexity of modeling is greatly reduced; A method for judging whether the product of the surface element normal vector and the electromagnetic wave incident direction vector is smaller than zero or not is adopted, calculation is simplified, and calculation time is saved; the discrete fitting accuracy is high through an electromagnetic simulation module model; the calculation complexity and the memory consumption are low; the calculation precision is controllable; High stability.

The invention discloses an unsupervised domain adaptation system and method based on a generative adversarial network, and a storage medium. The system comprises a feature extraction module used for extracting high-dimensional feature maps of a first sample and a second sample that are slice images with different dyeing styles, a dimension reduction module used for performing dimension reduction on the high-dimensional feature maps of the first sample and the second sample to convert the high-dimensional feature maps into low-dimensional feature maps, a discriminator used for receiving the low-dimensional feature maps of the first sample and the second sample, and enabling the low-dimensional feature maps output by the dimension reduction module to have consistency through adversarial training, a dimension raising module used for raising the dimensions of the low-dimensional feature maps of the first sample and the second sample to regenerate high-dimensional feature maps of the firstsample and the second sample, and a classification module used for receiving the regenerated high-dimensional feature maps of the first sample and the second sample and outputting an image analysis result. The system has good analysis capability for slice images with different dyeing styles.

The invention provides a method for detecting the chromium element in jelly. Cr (III) is an essential trace element in human bodies, but hexavalent chromium Cr (VI) has obvious toxicity to human bodies, has a stimulating and corroding effect on skin mucosa, interferes important enzyme systems, and has carcinogenesis and gene mutation induction effects. The method for detecting the chromium element in jelly comprises the following steps: drawing a standard curve; preparing and preprocessing a sample; preparing an internal standard solution, and selecting a tuned liquid; producing an ion exchange column, and regenerating and filling resin; and detecting the practical sample. The method has the advantages of low lower detection limit, high precision and high sample analysis ability.

The invention provides a system for encrypting a dynamical flow based on a generalized information field, which comprises a PRG (Pseudorandom Code Generator) connected with the system and based on the generalized information field, and an encryption and decryption subsystem; the encryption and decryption subsystem comprises a size control module of a dynamic buffering area, a locus ring conversion and matrix generation module, a flow encryption module and a flow decryption module; the PRG (Pseudorandom Code Generator) comprises an IV generation module, an IV normalization module, an m module, a constrained processing module, a key length judgment module, a physical reconfiguration module and a logical reconfiguration module; the PRG (Pseudorandom Code Generator) is respectively connected with the size control module of the dynamic buffering area, the flow encryption module and the flow decryption module; and the flow encryption module and the flow decryption module are connected with the m module through a transfer entrance. The system realizes locus ring conversion and flow encryption in a conventional activity background space between both sides of encryption and decryption, overcomes the problem of the periodic property of a normal key flow generator, achieves 'one word one cipher', and has strong resistance to conventional cipher analysis.