23results about How to "Accurate resolution" patented technology

The invention belongs to the technical field of automatic sorting, and particularly relates to building waste reclaimed material automatic sorting equipment and method.The equipment comprises a vibrating feeder, a plurality of funnel-shaped material distribution grooves are formed below an ultrasonic atomization spraying device side by side, a belt conveyor is used for conveying building waste crushed materials, and the vibrating feeder is used for feeding the building waste crushed materials; a fluorescence detection box is arranged above the belt conveyor, connecting columns in one-to-one correspondence with the funnel-shaped material distribution grooves are arranged in the fluorescence detection box, ultraviolet lamps are arranged on the connecting columns, and photosensitive sensors are arranged on the rear sides of the ultraviolet lamps. According to the invention, through cooperation of fluorescence recognition feedback and high-pressure gas, building waste crushed materials are automatically sorted, building waste materials of different substances with similar density, size, color, shape and the like can be finely sorted, and the device has the characteristics of sensitive reaction, accurate distinguishing, high precision and the like.

The invention relates to the technical field of data analysis, and particularly discloses a water quality parameter inversion method based on hyperspectral data analysis, which comprises the following steps: S1, carrying out grid division on a hyperspectral image, and obtaining a hyperspectral curve based on reflectivity values of pixel points in a grid; s2, sub-grids are determined according to the difference degree of the initial grid and the to-be-determined grid; determining a to-be-determined grid according to the existing sub-grids, determining the sub-grids again, and repeating the steps until no new sub-grids exist; counting the total number of the sub-grids, and determining a target image according to the maximum total number of the sub-grids; s3, grouping the target images, and ensuring that the number of groups is greater than a number threshold; determining representative images in the groups, and determining a training set and a verification set according to the representative images; and training a water quality parameter inversion model based on the training set and the verification set, and performing inversion on the water quality parameters. The diversity of the training set can be ensured, and the accuracy of artificial intelligence water quality inversion is improved.

The utility model discloses an automobile air filter air inlet pipe testing fixture comprising a base plate, the base plate is provided with an upper detection box and a lower detection box, the upper detection box is connected with the base plate through a lifting mechanism, and a pipeline is clamped between the upper detection box and the lower detection box through the lifting mechanism for internal detection. An auxiliary mechanism connected with an air outlet of the pipeline body is arranged at one end of the lower detection box, an air conveying mechanism connected with an air inlet of the pipeline body is fixed at the other end of the lower detection box, and a detection mechanism is arranged in the lower detection box to detect the performance of the pipeline. The pipeline is placed in the detection space formed by splicing the upper detection box and the lower detection box, and then the air conveying mechanism is started to guide air into the pipeline, so that the pipeline is simulated to guide the air, and the simulated pipeline is detected through the detection mechanism; therefore, the broken cracks in the pipeline can be quickly and accurately distinguished.

The application provides a method for identifying a wafer, comprising the following steps. A mark frame is obtained from a wafer detection picture. A gray scale index corresponding to the mark frame is calculated based on respective gray scale values of a plurality of pixels included in the mark frame. The gray scale index represents a proportion of pixels with a gray scale value greater than a specified value. Whether a trace pattern in the mark frame is a scratch or a grain boundary is determined based on the gray scale index.

The invention discloses an intelligent jujube sorting machine, comprising a frame, a plurality of profiling tugboat sorting and conveying mechanisms arranged side by side are installed in the frame, a blanking conveyor belt is installed below the front of the profiling tugboat sorting and conveying mechanism, a plurality of discharging conveyor belts arranged side by side are installed below the rear, a visual detection system and a sorting mechanism are arranged above the profiling tugboat sorting and conveying mechanism along one side of the conveying direction, the sorting mechanism is located directly above the discharging conveyor belt, and a cleaning mechanism is installed at the bottom of the profiling tugboat sorting and conveying mechanism. The invention can sort and convey single red dates, effectively prevent the friction problem of red dates, and avoid damaging the red dates. At the same time, different qualities of dates can be sorted and collected one by one, without manual secondary sorting, thereby improving sorting efficiency and reducing labor costs. The invention also has an overall integrated design, a compact structure, and adopts automatic control to realize automatic production.

The utility model discloses a kind of tactile sensor and robot.The tactile sensor includes: first detection structure, first electric conductor and second electric conductor, and first detection structure extends along first direction;First detection structure is used to produce corresponding deformation according to the force state of tactile sensor in second direction, and the first electric parameter of first detection structure changes according to the force state of tactile sensor in second direction;First electric conductor and second electric conductor are alternately wound on first detection structure, and along first direction, and first electric conductor and second electric conductor are arranged with interval;The second electric parameter between first electric conductor and second electric conductor changes according to the force state of tactile sensor in first direction;Wherein, first electric conductor is wound at least one circle on first detection structure, and second electric conductor is wound at least one circle on first detection structure.The tactile sensor provided by the technical scheme of the utility model can accurately distinguish and measure force in different directions.

The invention discloses a vacuum glass heat transfer coefficient measuring method and device, and the method comprises the steps: placing to-be-detected vacuum glass in a vacuum chamber provided with a vacuumizing system and an air pressure detection device, enabling the air pressure detection device to display the air pressure value of the chamber in real time, and forming a uniform polarized light field perpendicular to the placement direction of the glass in the chamber; and during vacuumizing, the light spot is detected on the side, opposite to the light source, of the glass through a polarization analyzing polaroid, the air pressure value P is recorded when the light spot disappears, and then the heat transfer coefficient is calculated according to the air pressure value P. Based on the photoelastic principle, the air pressure in the vacuum glass is determined by observing stress light spot changes, then the heat transfer coefficient is accurately calculated, the method is not affected by the environment temperature, measurement repeatability is good, measurement can be rapidly completed, the measurement efficiency and accuracy are greatly improved, and the method is suitable for popularization and application. And the urgent requirement of the vacuum glass production detection field on accurate measurement of the heat transfer coefficient is effectively met.

The invention provides a medical insurance fraud cross identification method based on fusion of multiple machine learning algorithms, and belongs to the field of machine learning technology and insurance risk management cross technology in information technology. The technical problems that in medical insurance fraud recognition, the recognition precision is not high, characteristics are complex, behaviors are hidden, and distinguishing is difficult are solved. According to the technical scheme, the method comprises the following steps of S1, performing data preprocessing on an original data set D0; s2, finding out feature information with high correlation by using the heat map; s3, constructing a medical insurance fraud detection model based on multiple machine learning algorithms; s4, checking the model; and S5, extracting main medical features influencing fraud discrimination through an algorithm. The method has the advantages that the accuracy and efficiency of medical insurance fraud detection are improved, and a more effective risk management solution is provided for insurance companies.

The application provides a kind of electrochemical immune sensing detection method for fruit and vegetable organochlorine pesticide multi-residue, belongs to the technical field of food safety detection, comprising: using liquid pulse discharge plasma synchronous reduction method to prepare g-C3N4-COOH / AuNPs heterojunction composite material with lattice coupling interface and modify on the surface of silk screen printing carbon electrode, through click chemistry reaction, azide modified organochlorine antigen is covalently fixed on the electrode surface, and the labeled immune probe loaded with different electrochemical signal substances and different organochlorine pesticide specific antibodies is used for competitive immune reaction, the differential pulse voltammetry response curve in the whole potential interval is collected, a plurality of characteristic parameters are extracted, and the concentration of multiple organochlorine pesticides is simultaneously solved by using partial least squares multivariate correction model.The application solves the problems of low interface electron transport efficiency, uncontrollable antigen fixation orientation, serious interference of complex matrix and difficult multi-residue signal resolution in the prior art.

The application discloses a mahjong machine with a control lighting lamp, and belongs to the technical field of mahjong machines, and has the technical scheme as follows: the mahjong machine comprises a mahjong machine main body, irradiation lamp strips are rotationally arranged on four sides of the mahjong machine main body, placing areas for placing mahjong hands are arranged on the four sides of the mahjong machine main body, the light beams of the irradiation lamp strips are obliquely shot from bottom to top to the mahjong hands in the corresponding placing areas, a controller is arranged on the mahjong machine main body, human body sensing modules are arranged on the four sides of the mahjong machine main body, the human body sensing modules are electrically connected with the controller, the controller is electrically connected with the irradiation lamp strips, when the human body sensing modules sense a human body, the controller controls the corresponding irradiation lamp strip to be turned on, and the four sides of the mahjong machine main body are provided with adjusting knobs for adjusting the brightness of the corresponding irradiation lamp strips, the mahjong machine forms effective light zones on the mahjong hands through the irradiation lamp strips, the recognition of the mahjong hands by users is enhanced, and the use experience is improved.

The invention relates to a method for carrying out early warning on network attacks on a networked automobile, which comprises the following steps of: 1) establishing a semi-supervised generative adversarial network for judging network attack behaviors, the semi-supervised generative adversarial network comprising a discriminator comprising a plurality of residual jump connection blocks and a generator; 2) collecting data traffic of various vehicle-mounted applications of the networked automobile to form a real-time network data traffic set; 3) preprocessing various data traffic in the real-time network data traffic set to obtain a corresponding data traffic graph; and 4) inputting the data flow graph obtained in the step 3) into a discriminator of the semi-supervised generative adversarial network so as to judge whether the intelligent system of the connected automobile is subjected to network attack or not.

The invention discloses a temperature compensation method of a capacitive force / torque sensor and a sensor structure of the capacitive force / torque sensor. The sensor comprises an upper-layer substrate, a middle substrate and a lower-layer substrate, and an interdigitated electrode is arranged between the upper-layer substrate and the middle substrate and used for tangential force detection; a strip-shaped dielectric layer and a capacitor electrode array are arranged between the middle substrate and the lower substrate and are used for normal force and torque detection; the lower substrate is provided with a temperature compensation reference electrode used for collecting the environment temperature. The system takes a capacitance digital conversion chip as a core to realize multi-channel signal sampling and real-time resolving, and establishes a mapping relation between capacitance variation and five-dimensional force / torque components. In addition, in order to reduce the influence of the environment temperature on the output of the sensor, a temperature compensation method based on a binary polynomial regression model is used, a capacitance-temperature characteristic curved surface is established through a temperature and load experiment matrix, temperature compensation parameters are calculated in real time, and dynamic correction is achieved. The method is small in calculation amount, and improves the precision and stability.

The application discloses a dynamic power quality disturbance signal detection method, device and medium, and the method steps comprise the following steps: S01, acquiring a dynamic power quality disturbance signal to be detected; S02, dividing a signal frequency band, and performing time-frequency analysis on the dynamic power quality disturbance signal by using an improved variable resolution S transform method; the improved variable resolution S transform method is an S transform based on a Gaussian window, and a Gaussian window scale factor is used to optimize the Gaussian window function; S03, performing a synchronous squeezing rearrangement operation on the improved variable resolution S transform result, so that energy components scattered in adjacent frequency intervals are aggregated to real frequency axis positions, and a time-frequency matrix after synchronous squeezing rearrangement is obtained; and S04, detecting signal components of the time-frequency matrix after synchronous squeezing rearrangement. The application can reduce energy diffusion and realize high-precision detection of non-stationary multi-scale complex dynamic power quality disturbance signals.

The application discloses a C+L transmission system noise wave automatic filling method and device, relates to the optical communication technical field, and the C+L transmission system noise wave automatic filling method comprises the following steps: if the power of the optical amplifier of the downstream station of the C+L transmission system is abnormal, then starting optical channel monitoring OCM scanning, acquiring the frequency and power information of the missing channel; based on the frequency and power information of the missing channel, starting the automatic filling of the noise wave.The application can maintain the stability of the service channel of the C+L transmission system in the dynamic process.

The invention relates to an automatic parking method and device, computer equipment, a storage medium and a program product. The method comprises the following steps: identifying a vehicle classification, a vehicle body color and a vehicle brand of a second vehicle according to video data around a first vehicle; the second vehicle comprises a vehicle which is parked adjacent to the parking space of the first vehicle; displaying a virtual vehicle corresponding to the second vehicle in a parking virtual view of the parking auxiliary interface; the color of the virtual vehicle is consistent with that of the vehicle body, and a brand identifier of a vehicle brand is displayed; the virtual vehicle is obtained by rendering a vehicle model matched with the vehicle classification. By adopting the method, the operation convenience of automatic parking can be improved.

The invention discloses a multi-scale solving method for cavitation flow field numerical simulation, and relates to the technical field of cavitation flow field numerical simulation. In order to solve the technical problems that in the prior art, an existing double-scale method still has limitation when being used for treating conversion of different-scale steam structures, it is difficult to ensure reasonable conversion of steam bubbles among different frames, and consequently simulation continuity and accuracy are affected, the invention provides a steam bubble simulation method. According to the technical scheme provided by the invention, the multi-scale solving method for numerical simulation of the cavitation flow field comprises the following steps of: judging the scale of a cavitation bubble; processing the large-scale cavitation bubbles in the Euler framework, namely identifying a steam structure, capturing a steam-liquid interface and solving a macroscopic flow field; and processing the small-scale cavitation bubbles in the Lagrange framework, wherein the step comprises solving the motion trail, the speed and the pulsation. The method is suitable for being applied to multi-scale solving work of cavitation flow field numerical simulation.

The invention discloses an out-of-focus coding snapshot type spectrum scattering imaging method based on deep learning, and belongs to the field of computational imaging. Comprising a projector, a collimating lens, a diaphragm, an imaging lens, a scattering medium, a liquid crystal lens and a monochromatic camera which are sequentially arranged in the direction of an optical axis. The axial dispersion characteristic of a liquid crystal lens is used as a physical coding mechanism, and a single-frame mixed speckle image is obtained; learning a mapping relation between speckle distribution and a specific wavelength image by constructing and training a U-Net neural network including wavelength indication channel input; the target image of each wavelength channel can be decoupled and recovered only by inputting the single-frame mixed speckle and the wavelength indication diagram into the network. According to the invention, a mechanical scanning device, an optical filter or a special coding aperture is not needed, the method has the advantages of simple optical path, low cost, high time resolution and the like, and high-quality snapshot spectral imaging penetrating through the scattering medium is realized.

The invention discloses a current measurement method based on an optical fiber current sensor, and belongs to the field of optical fiber sensing. According to the method, the period of a basic digital square wave is set to be composed of a current signal acquisition period and a vibration signal acquisition period, and the size is related to the round-trip transit time of modulated light; a current phase shift and a vibration phase shift are respectively acquired in two acquisition periods, a first digital step wave and a second digital step wave are respectively acquired according to the two phase shifts, and the total phase of the optical fiber current sensor is kept at a sensitive point of pi / 2 in a current signal acquisition period through reset and closed-loop modulation functions. The total phase of the optical fiber current sensor is kept at a 0 non-sensitive point in a vibration signal acquisition period, a current signal and a vibration signal are obtained, the vibration generation time is determined through the vibration signal, and vibration filtering is performed on the current signal. According to the method, the measurement precision and stability can be improved, and error locking accidents are avoided.

The invention discloses a ResNet multi-target signal DOA estimation algorithm based on beam forming, and the method comprises the steps: employing a detector array, employing an LCMV beam forming algorithm, carrying out the scanning of a space, carrying out the phase adjustment in the scanning process, carrying out the signal enhancement of a signal from a scanning direction, and inhibiting the interference signals from other directions. A multi-target DOA estimation problem is converted into a dichotomy problem by using a residual network ResNet, and an efficient channel attention mechanism enhancement model is added in the residual network ResNet to extract signal features, so that the accuracy and robustness of target DOA estimation are improved. The method has the technical characteristics of high detection accuracy and precision and the like.

The present invention relates to a pipeline fixer, comprising at least one pipeline tidying piece, wherein the pipeline tidying piece comprises a first tube body and a second tube body which are arranged in parallel and connected in one piece through a connecting part, wherein a first embedding notch which runs from one end of the first tube body to the other end is provided on the side of the first tube body away from the second tube body, and a second embedding notch which runs from one end of the second tube body to the other end is provided on the side of the second tube body away from the first tube body; the outer diameter of the first tube body is greater than or equal to the inner diameter of the second tube body and smaller than the outer diameter of the second tube body, and two or more pipeline tidying pieces can be connected to each other by connecting the second tube body of one pipeline tidying piece to the first tube body of another pipeline tidying piece. The present invention can make the extension tubes neat and orderly, allowing nurses to change dressings more quickly and accurately, and is low in cost and easy to use, and can quickly fix and remove the infusion extension tube, effectively avoiding the phenomenon of multiple extension tubes being entangled together.

The present invention discloses an automatic road recognition method based on a building general plan location map, comprising: S1, obtaining all characters on the building general plan location map, traversing to find a character string containing a specified character; S2, finding a curve passing through the center of the character string, which is the center line of the road; S3, finding two curves on both sides of the center line of the road, which are within a set distance range, closest to the center line of the road, equal, and basically parallel to the center line of the road, and located on the same layer, to obtain a pair of urban road sidelines; S4, obtaining all curves corresponding to the layer where the side lines of a pair of urban roads are located, to obtain the side lines of all roads; S5, identifying street lines; S6, identifying the side lines of urban roads and the side lines of community roads from the side lines of all roads. The present invention accurately identifies and extracts the side lines of roads from the building general plan location map and distinguishes the road types.

The invention belongs to the technical field of column chromatography, and particularly relates to a mass spectrometry method for measuring low-carbon components and a low-carbon component measuring system.The mass spectrometry method for measuring the low-carbon components comprises the steps that components in a sample are separated into a plurality of chromatographic peak sets; acquiring a mass spectrum corresponding to each chromatographic peak group, and purifying characteristic ion peaks in each mass spectrum; reconstructing the characteristic ion peak corresponding to each component so as to carry out deconvolution on the mass spectrum; identifying substances corresponding to the components; according to the method, the detection time can be shortened, the rapid detection requirement can be met, meanwhile, by purifying the characteristic ion peak, background interference ions can be effectively removed, the definition and the signal-to-noise ratio of a mass spectrum are remarkably improved, the purified mass spectrum data are more suitable for efficient spectrum library retrieval and quantitative analysis, and by combining characteristic ion reconstruction and a deconvolution algorithm, the detection efficiency is improved. Multiple components can be accurately distinguished in a complex spectrogram, the qualitative accuracy is high, the quantitative error is low, and the reliability of a result is remarkably improved.

The utility model relates to the technical field of automobile wire harness, disclose a wire harness protection structure including the support of square tubulose, the opening of support one side, the inner wall of support is equipped with the isolation unit interval, and the isolation unit unit includes the mounting seat of 'Fang' character type, and the both sides of mounting seat bottom plate are opened and have the accommodating groove, and the fixed shaft of same direction extension is equipped in accommodating groove, and the sleeve is rotatably connected on fixed shaft, and the part outside of sleeve exposes on accommodating groove portion and is fixedly connected with the limiting plate, and the back of limiting plate is equipped with elastic element between mounting seat side plate, through setting isolation unit, the wire harness of different function, effect is isolated in the inside support, on one hand, not only avoids the entanglement between wire harness, but also can effectively prevent the interference between wire harness each other, on the other hand, in the maintenance process of later period, can find out, distinguish the problem circuit accurately quickly, bring great convenience to the maintenance process while the maintenance efficiency is improved significantly.