538results about How to "Distinctive features" patented technology

The invention provides a mobile robot path planning method with combination of a depth automatic encoder and a Q-learning algorithm. The method comprises a depth automatic encoder part, a BP neural network part and a reinforced learning part. The depth automatic encoder part mainly adopts the depth automatic encoder to process images of an environment in which a robot is positioned so that the characteristics of the image data are acquired, and a foundation is laid for subsequent environment cognition. The BP neural network part is mainly for realizing fitting of reward values and the image characteristic data so that combination of the depth automatic encoder and the reinforced learning can be realized. According to the Q-learning algorithm, knowledge is obtained in an action-evaluation environment via interactive learning with the environment, and an action scheme is improved to be suitable for the environment to achieve the desired purpose. The robot interacts with the environment to realize autonomous learning, and finally a feasible path from a start point to a terminal point can be found. System image processing capacity can be enhanced, and environment cognition can be realized via combination of the depth automatic encoder and the BP neural network.

The invention relates to a single-end fault ranging method based on initial reversed-polarity directional traveling wave detection, which can effectively realize single-end traveling wave fault ranging and has high reliability and high accuracy. The method comprises the following steps: (1) when a traveling wave fault ranging device is started, testing the arriving time t1 of the line modular component of the initial traveling wave of a fault, and extracting traveling wave signals in the time interval [0, 2L/v], wherein L indicates the length of the line, and v indicates the wave speed of theline module component; (2) testing the initial reversed-polarity directional traveling wave in the time interval, calculating the difference of the arriving time of the line modular component of the initial reversed-polarity directional traveling wave and the arriving time of the line modular component of the initial traveling wave of the fault, determining whether the fault is a nearby fault or a remote fault with reference to Curve Chart 3, and accordingly determining the section with the fault point; (3) judging the properties of the second arriving wave head through the determined fault section; and (4) determining final ranging results through the initial traveling wave and the wave head of the second traveling wave of the fault.

A Chinese medicine in the form of particles for treating cervical spondylopathy, especially the nerve root type one, is prepared from 7 Chinese-medicinal materials including notoginseng, Chuan-xiong rhizome, white peony root, clematis root, etc. through pretreating, crushing, solvent extraction, purifying, concentrating, drying and granulating.

The invention belongs to the communication technique area related to the method for automatic recognizing the general used digital signal modulation modes without need of prior knowledge. First, the noise is separated out through the A1 parameter. Then the CW signal is recognized. The signal is preprocessed so as to separate the analog signal or unknown signal with no constant envelope. The Cp in the normalized parameter of instantaneous frequency distinguishes the frequency-modulated signal and the phase-modulated signal. The frequency-modulated signal are sorted by the peak number Nf in the normalized parameter. The phase-modulated signals are sorted through the square spectrum and fourth power spectrum. The emulation of BPSK, QPSK, OQPSK, pi/4QPSK, MAK, FSK, FM, CW indicates that the recognition rate reaches 95%.

The invention discloses hotpot condiment and a preparation method. The method comprises the following steps: heating A grade rapeseed oil to 185-195 DEG C, adding dry red pepper powder, and stir-frying for 4 min at 175-185 DEG C; adding Pixian bean paste and fermented soya beans, and stir-frying for 3 min at 95-105 DEG C; adding ginger granules and garlic granules, and stir-frying for 4 min at 90-100 DEG C; adding pickled ginger and ciba pepper, and stir-frying for 2 min at 75-85 DEG C; adding compound spices and white granulated sugar, and stir-frying for 1 min at 80-90 DEG C; adding green pepper powder and red pepper powder, and stir-frying for 1.5 min at 75-85 DEG C; adding edible salt and monosodium glutamate, and stir-frying for 1 min at 80-90 DEG C; adding white spirit, millet wine, disodium 5'-ribonucleotide, yeast extract, edible essence, scallop powder, capsanthin and fermented glutinous rice, stir-frying for 1 min at 75-85 DEG C, and uniformly stirring the components. The hotpot is red in oil color, clear in soup color, spicy, fragrant, free of greasy feeling after eating for a long time and is led up to meaningful afterthoughts, thereby being well praised by consumers.

The invention discloses a lithium ion storage battery temperature combinational circuit model including an energy balancing circuit and a voltage responsive circuit. The energy balancing circuit predicts the continuous operation time and charged state SOC of a battery, and the voltage responsive circuit stimulates the transient response of the battery, and elements of the circuit are variables and change continuously according to the change of the environment temperature and SOC. The parameter identification method of the lithium ion storage battery temperature combinational circuit model includes four steps of charged state and battery open-circuit voltage relation identification, battery capability and temperature relation identification, self-discharge resistance identification, and internal resistance and polarized parameter identification. The lithium ion storage battery temperature combinational circuit model and the parameter identification method thereof make the stimulation approximate to the real response of the storage battery at different temperatures and give guidance to battery state estimation, and have the advantages of distinct characteristic, visual construction, clear physical meaning, convenient parameter identification, and easy application in engineering.

The invention discloses a making method of convenience seasoning mix for boiled fish with Sichuan pickles and chili. Raw materials include: by weight, 2-3 parts of meat tenderizer, 3-4 parts of monosodium glutamate, 1-1.5 parts of pepper, 0.5-1 part of white granulated sugar, 3-5 parts of Chinese red pepper, 1-2 parts of salt, 10-20 parts of rapeseed soil, 0.1-0.15 part of potassium sorbate, 20-25 parts of chopped red chili, 200-300 parts of pickled vegetable, 3-4 parts of ginger, 1-2 parts of garlic, and 2-15 parts of upturned chili. The making method includes: setting a pot, adding rapeseed oil into the pot, heating the oil to 40% maturity, adding Chinese red pepper, ginger slices and garlic and frying until fragrance occurs, pouring and stir-frying the picked vegetable till the picked vegetable is seasoned, adding 200 parts of water, boiling the water, sequentially adding the meat tenderizer, the monosodium glutamate, the pepper, the white granulated sugar, the salt, the potassium sorbate, the chopped red chili and the upturned chili, and mixing these well and packaging into a small pack. The convenience seasoning mix for boiled fish with Sichuan pickles and chili is featured, has complete ingredients, is convenient to use and can be used by adding boiling water and fresh fish. The boiled fish with Sichuan pickles and chili made with the convenience seasoning mix is sour, spicy, delicious, appetizing and spleen-invigorating, the fish is tender, and the soup is sour with fragrance, delicious and agreeably spicy.

The invention relates to a power transformer load tap changer switching contact slap fault diagnosis method and device. The diagnosis method includes that: firstly, real-time monitoring is carried outon tap changer switching action process, in the monitored signal, the latter half of time domain signal major energy is selected, so as to avoid the energy maximum point in time domain signal; secondly, time-frequency transformation analysis is carried out; thirdly, spectral line of the signal, which is higher in amplitude at the range of 800-1000Hz in frequency domain, is determined through analysis; fourthly, comparing is carried out, if the spectral line is obviously amplified compared with the normal condition of the tap changer, the tap changer is in the switching contact slap fault. Theinvention has the advantages that: the found fault characteristic value can accurately reflect tap changer switching contact slap fault, characteristic is obvious, repeatability is good, and the method has universality on tap changers of the same type; the load tap changer contact slap fault diagnosis technology is simple in engineering realization, and a sensor is convenient in installation; anda microcomputer is adopted for detection, processing and diagnosis, performance is reliable, realization is convenient, and diagnosis conclusion is visual.

The invention provides a traffic monitoring image-based automatic detection system for a safety belt non-fastening behavior of a driver. The system comprises a module for extracting a to-be-detected region of the safety belt and a module for judging whether the driver fastens the safety belt or not; the module for extracting the to-be-detected region of the safety belt comprises a license plate detection sub-module, a driver region extraction sub-module, an image enhancement sub-module, a human face detection sub-module and a safety belt detection region extraction sub-module; the module for judging whether the driver fastens the safety belt or not adopts a straight line detection-based safety belt judgment method; and the straight line detection-based safety belt judgment method is used for detecting an edge straight line section of the safety belt by using a Canny edge detection algorithm and a progressive probabilistic Hough transform straight line detection algorithm. The safety belt non-fastening behavior of the driver can be accurately and quickly detected and recorded, so that the disadvantages of high labor cost of manual identification, easy fatigue, easy negligence and the like are effectively overcome, and the safety belt non-fastening driving behavior of the driver is effectively inhibited.

The invention discloses a service robot visual picture privacy protection method based on a generative adversarial network. The method is characterized in that, the privacy identification and protection comprises the functions of data preprocessing, privacy identification, picture conversion and the like. The method comprises the following steps: firstly, performing data preprocessing on data acquired by a visual data acquisition end, then judging whether the input preprocessed data has privacy or not by a privacy recognition module, if so, performing picture conversion, converting the pictureinto picture data which does not involve privacy, and storing the picture data, wherein the training data growth and feature learning are used for updating a training data set, and based on the training data set, a feature model is obtained through an improved Cycle-GAN algorithm and used for picture conversion. According to the method, the picture data does not involve the private content from the source, and the method has the characteristics of short training time and strong generalization ability of private picture conversion.

The invention discloses a fluorescence molecule probe which belongs to the technical field of chemical analysis and detection, and particularly relates to a zinc and copper molecule probe, a method for preparing the probe and the application of the probe in heavy metal ion identification and detection. As a 1-(7-acetamide-1, 8-naphthyridine)-2-(6-acetamide-pyridine)-vinyl compound, the zinc and copper ion fluorescence probe can be applied in ion detection and heavy metal ion detection for biological tissues, and has the advantages of rapidity, accuracy, convenience, good specificity and better prospect of application.

The invention discloses an inspection robot image processing system and method with a self-adaptive polarizer adjusting function. The inspection robot image processing system comprises an inspection robot body, an image acquisition mechanism, a polarizer and an automatic polarizer rotating and driving device, wherein the image acquisition mechanism is arranged at the front end of the inspection robot body and is used for acquiring video and image data in a transformer substation, the polarizer is arranged at the front end of the image acquisition mechanism, and the polarizer is fixed on the automatic polarizer rotating and driving device, so that an optical axis of a camera vertically passes through the center of the polarizer, and the polarizer rotates by taking the optical axis of the visible light camera as the center axis. The inspection robot image processing system and method have the advantages that the problem that a certain instrument index is mistakenly identified due to glare, light reflection and shadow interference is solved, so that an inspection robot can observe operating status details of electrical equipment, the aim that all the equipment of the substation are covered and observed by the inspection robot is realized, and safe operation of all the equipment of the substation is guaranteed.

The invention relates to a transformer excitation inrush current recognize method based on wave-shape sine theory, wherein it uses the sine function character of normal operation, short circuit, and external circuit short; the excitation inrush current contains non-periodical component, and the distant angle has no sine character; via comparing the sine degrees, it can judge inrush current and short circuit. The invention defines and calculates out the wave-length non-sine degree sigmaS (t); comparing the wave-length non-sine degree and non-sine preset value sigmaSZd, to judge the inrush current and short circuit current; when the transformer is idle and closes gate, there is inrush current, sigmaS (t) is higher than preset value sigmaSZd; opening judging condition, closing protecting; when the transformer has short circuits, sigmaS (t) is lower than sigmaSZd, it will open protection. The invention has accurate judge and phase-divert brake, with significant effect on CT saturation.

The invention requests to protect an electroencephalogram signal identification method based on a spatiotemporal feature weighted convolutional neural network. The method comprises the following steps: firstly, de-noising a motor imagery electroencephalogram signal by using discrete wavelet transform; designing a spatial-temporal feature weighted convolutional neural network to perform feature extraction on the processed electroencephalogram signal, wherein the convolution operation of the first layer is carried out on the time scale of the motor imagery electroencephalogram signal, and the convolution operation of the second layer is carried out on the channel scale, so that the extracted features include the space-time characteristics of the motor imagery electroencephalogram signal; because the importance degrees of the extracted features are different, a feature weighting module is added into the network, so that the important features are highlighted, and the unimportant featuresare weakened. Characteristics extracted by the model can reflect the characteristics of various motor imagery electroencephalogram signals more effectively, and the recognition accuracy of the motor imagery electroencephalogram signals can be improved.

The invention relates to a squarylium type chemical sensor for colorimetric identification of a copper ion and a preparation method thereof, belonging to the field of chemical analysis and testing. The squarylium type chemical sensor is provided with a symmetric 2, 3, 3-trimethyl-indole squarylium compound and is prepared by the following steps of: mixing a 2, 3, 3-trimethyl-indole ring compound and squaric acid with a molar ratio of 2:1, adding mixture into a three-necked flask, adding mixed solvent of toluene and n-butanol with a volume ratio of 1:1, performing heating, mixing and back-flowing for 2-24 hours, and separating water produced in reaction with a water separator; stopping heating, cooling to the room temperature, depressurizing and evaporating to remove part of the solvent, and filtering to obtain green solid; and repeatedly washing the obtained green solid with ethyl acetate, drying at 60 DEG C, and recrystallizing with ethanol solvent to obtain pure green crystals. When the squarylium compound is applied in identification of the copper ions, the color can change in addition to changes in the absorption spectrum, the characteristics are obvious, and detection of the copper ions can be facilitated.