152 results about "Computer analysis" patented technology

A computer-implemented method for automated review of quality records is disclosed as including the steps of operating a computer to access a plurality of electronic quality records; normalizing at least one electronic quality record of the plurality of electronic quality records to facilitate computer analysis thereof; sorting all electronic quality records into a predefined plurality of electronic quality record categories; operating the computer to automatically review at least some of the electronic quality records in at least some of the plurality of electronic quality record categories using a plurality of predefined sets of quality rules and logic, wherein each electronic quality record category is associated with a corresponding set of quality rules and logic; and classifying every reviewed electronic quality record as acceptable or not acceptable.

The invention belongs to the technical field of coal field fire evolutionary analysis, and particularly provides a visual coal field fire evolutionary process analog simulation test device and method. The test device comprises a test bench, a physical similarity model, a fiber bragg grating temperature and stress integrated monitoring system, a multi-gas monitoring system, an image and video monitoring system and a computer analysis system. A plurality of opening frames are sequentially fixed to form test box bodies, the physical similarity model is arranged in the test box bodies, the inclination angle of the test box bodies is adjusted through an inclination angle adjusting mechanism, and the gas supply system and the ignition system are connected between the test box bodies. The fiber bragg grating temperature and stress integrated monitoring system, the multi-gas monitoring system and the image and video monitoring system are respectively in signal connection with the computer analysis system. According to the invention, visualization of coal field fire evolution processes under different conditions can be realized, and real-time monitoring of change rules of a temperature field, a seepage field and a fracture field in the coal field fire evolution processes under different conditions can be realized.

The invention discloses a delivery task cooperative processing method, device and equipment based on a quadruped robot and a medium, and relates to the technical field of artificial intelligence, and the method comprises the steps: analyzing a delivery task through an upper computer, combining the real-time dynamic information of an office scene, and employing an improved binary particle swarm optimization algorithm to optimize the task distribution of multiple robots, and efficient collaborative distribution in an intelligent office environment is realized. The robot receives a distribution scheme sent by the upper computer, a multi-level navigation strategy is started by utilizing environmental perception data, a topological map and a D * Lite algorithm are fused to carry out path planning, and dynamic obstacle avoidance and efficient distribution are ensured. The target path planning information is monitored in real time through the upper computer, dynamic analysis is carried out through the scene perception algorithm, the scene relevance result is obtained, the collaborative distribution strategy is executed to complete the distribution task, the task response speed and the distribution efficiency are improved, interference to the office environment is reduced, and the work efficiency is improved. And automation and intelligentization of robot distribution in an intelligent office scene are realized.

The invention discloses a computer analysis-based farmland crop harvesting area automatic measurement method and system, and relates to the technical field of crop harvesting area calculation, and the method comprises the steps: respectively marking field ridge points and farmland points in a farmland region according to the gradient of each point in the farmland region; obtaining a field ridge proportion coefficient of each strip according to the field ridge points and the number of the farmland points contained in each strip, and marking inextensible strips and extensible strips in each strip according to the field ridge proportion coefficients; single harvest areas corresponding to the inextensible strips and the extensible strips are accumulated to obtain the total harvest area, the inextensible strips and the extensible strips are screened according to the field ridge proportion, three-dimensional area reduction is conducted on the extensible strips which fluctuate obviously, area calculation is conducted on flat areas of the inextensible strips, and the total harvest area is obtained. And obtaining a harvesting area matched with the real surface shape.

A computer-implemented method for automated review of quality records is disclosed as including the steps of operating a computer to access a plurality of electronic quality records; normalizing at least one electronic quality record, of the plurality of electronic quality records to facilitate computer analysis thereof; sorting all electronic quality records into a predefined plurality of electronic quality record categories; operating the computer to automatically review at least some of the electronic quality records in at least some of the plurality of electronic quality record categories using a plurality of predefined sets of quality rules and logic, wherein each electronic quality record category is associated with a corresponding set of quality rules and logic; and classifying every reviewed electronic quality record as acceptable or not acceptable.

An experimental device for measuring three-dimensional expansion deformation of rock and soil under the action of water and rock based on mechanical vision comprises a bottom platform, a reinforced transparent glass cover container, a camera assembly, a stand column, a limiting block, a cross beam, an electric lifting experimental platform and a computer. The electric lifting experiment platform comprises a lifting motor, an electric telescopic rod, an experiment disc cross beam, a vertical rod, a bearing disc, a tempered glass chassis, a fixing nut and an annular force sensor. According to the device, the electric lifting experiment platform is used for adjusting the position of a rock-soil sample, the camera assembly is used for shooting the states of the sample in different stages when the sample encounters water in real time, and the computer is used for analyzing the three-dimensional expansion deformation of the rock-soil sample. The device is simple in principle, parts are convenient to replace, and three-dimensional expansion deformation of the rock-soil sample after the rock-soil sample encounters water can be analyzed with high precision.

A computerized train driver behavioral analysis system for the automated analysis of behavioral characteristics of drivers of railway trains based on target and keypoint detection. A train operation status and position analysis portion monitors train position, speed, and acceleration. A standardized driver practice analysis portion compares actual driver behaviors and actions to standardized driver behaviors and actions. A driver mental state analysis portion automatically detects a driver's face with a human face detection model with automated target keypoint detection to detect predetermined keypoints to produce an electronic human face box and performs a computer analysis of eye and mouth statuses and makes an automated electronic determination whether the eyes and mouth are open or closed. The system thus produces a computerized judgment regarding behavioral characteristics of drivers based on the train operation status and position analysis, standardized driver practice analysis, and driver mental state analysis portions.

A method includes obtaining, by a processor, a score quantifying an estimated degree to which an instance of an articulatory event-type indicates a state, with respect to a disease, in which the instance was produced. The method further includes, using the score, facilitating, by the processor, a computer-implemented procedure for evaluating the state of a subject based on a test utterance produced by the subject. Other embodiments are also described.

The invention relates to the technical field of guardrail flatness detection, in particular to a flatness detection system and method based on a high-toughness PVC guardrail, and the system comprises lower computer equipment and an upper computer analysis system: the lower computer equipment comprises a frame, and the frame is provided with three electric push rods; a coating device and an ink wiping strip are installed at the output ends of the left electric push rod and the right electric push rod correspondingly, the coating device comprises an ink bag and an ink rod, and two scraping strips inclined by 45 degrees are installed at the output end of the middle electric push rod through telescopic rods; an image capturing device is installed on the side, close to the ink wiping strip, of the frame. In the scheme, through physical marking design of lower computer equipment, intelligent analysis and automatic classification design of an upper computer system and real-time linkage of an upper computer and a lower computer, accurate marking, intelligent analysis and automatic classification of the concave-convex defects on the surface of the high-toughness PVC guardrail are achieved, the detection efficiency and accuracy are improved, and the detection efficiency is improved. And full-process closed-loop automation from guardrail feeding to classified storage is formed.

The invention provides a WCE image scene classification method, device and equipment based on reinforcement learning, and relates to the technical field of computer analysis of medical images, and the method comprises the steps: carrying out the feature extraction of each current image frame in all current capsule endoscopy images, and obtaining a feature sequence of each current image frame, inputting all the current image frame feature sequences to a preset recurrent neural network model to obtain a first probability prediction result of each current image frame; performing image processing on the secondary classification image frame to obtain a processed image frame, and performing image enhancement on the processed image frame according to the target action to obtain an enhanced image frame; inputting the enhanced image frames to a preset recurrent neural network model to obtain a second probability prediction result of each enhanced image frame; and determining a target prediction result according to the first probability prediction result and the second probability prediction result. According to the invention, the reading time of the WCE can be reduced, the workload is reduced, and the classification precision is improved.

The invention relates to the technical field of conveying equipment, in particular to an automatic and uniform sugarcane unloading device which comprises an upper computer and a lower computer. The lower computer comprises an equipment frame, a plurality of conveying equipment, a plurality of detectors and tearing equipment, the equipment frame is F-shaped and is divided into five areas A1, A2, B1, B2 and C, and each area is subdivided into a plurality of auxiliary areas according to the number of the conveying equipment; a conveying device is mounted in each secondary area and comprises a bracket; in the scheme, uniform distribution of sugarcanes among different areas is realized through equipment partitioning, real-time monitoring of a detector and precise regulation and control of the speed of conveying equipment by an upper computer; the equipment frame is divided into a plurality of areas and auxiliary areas, the detector collects information such as positions, number and stacking states of sugarcanes, the upper computer analysis module judges distribution conditions according to an area load balancing principle, and the adjusting module instructs conveying equipment in different auxiliary areas to change speeds according to the distribution conditions, so that the sugarcanes flow reasonably, and local stacking is avoided.

The invention provides a digital asset management method and system based on component identification codes. The method comprises the following steps: coding each component in a BIM model according to a preset coding method, and associating design data and construction data corresponding to the components with codes; component construction information of a current construction project of the entity road is obtained through analysis according to first real-time construction data uploaded by the field terminal, the component evaluation qualification probability is predicted according to the component construction information, and updating delay duration is obtained through comparison; when the update delay duration is reached, if second real-time construction data belonging to the same construction project and construction stage as the first real-time construction data is not received, updating the BIM model based on the first real-time construction data; and otherwise, updating the BIM model based on the second real-time construction data. According to the component coding method, computer analysis and identification are facilitated, subsequent positioning and searching of workers are utilized, and the probability of manual correction in the digital twin road is reduced.

A weight support device includes a sensor grid that measures pressure data while a user is on the weight support device. The weight support device is connected to a computer that analyzes the pressure data and generates a virtual figure to represent the user. Based on the pressure data, the computer determines how the user moves and adjusts relative positions of segments in the virtual figure that represent various body parts corresponding to the movements of the user. The relative positions of the segments may be determined based on a kinematic model. The virtual figure is presented on a display (e.g., in a video) to illustrate how the user moved.

The utility model discloses a thin film production detection device which comprises a roller fixing frame, a thin film is installed on the outer side of a roller, an electric telescopic rod is installed at the bottom end of an arc plate, a light source box is fixedly installed at the top end of a placing frame, an industrial camera is arranged over the light source box, and the industrial camera is connected with the electric telescopic rod. A quantitative conveying pump is fixedly installed at the top end of the corrosive liquid storage box, a liquid dropping box is installed at the tail end of a soft connecting pipe, detection can be carried out while a film is produced and conveyed, the thickness, transparency and surface defects of the film can be detected through cooperation of an industrial camera and a light source box, and the industrial camera is connected with a computer through a data line. The industrial camera can move back and forth, so that the film can be observed without dead angles, the arranged quantitative conveying pump is used for extracting detection liquid to be matched with a liquid dropping box to drop acid and alkali liquid on the film, and the industrial camera is matched with a computer to analyze information such as the corrosion resistance time and degree of the film.

The invention discloses a multi-wavelength laser collimator based on radial shearing. The multi-wavelength laser collimator comprises a near-field reference, a telescope objective combination, a bifocal objective and an image detector which are sequentially arranged along a light path. Aberration-free imaging of near-field light beams is achieved through a bifocal objective lens, and meanwhile far-field pointing is detected through coaxial shearing interference generated by means of amplitude light splitting. A single non-mobile sampling detection light path and a single detection sensor are used to realize simultaneous acquisition of near-field position information and far-field pointing information of a laser beam; the light spot position deviation and the fringe translation amount are analyzed through a computer, and high-precision collimation is achieved through a feedback control system. And the detection of the angle direction of the laser beams with various wavelengths can be realized by using a radial shearing interference technology. The device breaks through the limitation of traditional double-optical-path collimation, has the characteristics of simple structure, strong anti-interference performance, multi-wavelength applicability and the like, remarkably improves the collimation precision, reduces the cost, and has important application value in the field of laser precision collimation.

The invention belongs to the technical field of coal mine underground carbon dioxide emission reduction, and relates to a mine CO2 direct capture-geological utilization-mineralization storage integrated method which comprises the following steps: firstly, arranging a CO2 gas concentration and air quality monitor in a return airway, collecting environmental data and transmitting the environmental data to an interactive computer for analysis; according to a set threshold value, a self-adaptive early warning device sends out a signal, CO2 is sucked in at the end of a return airway, and liquid CO2 is prepared in real time through reaction, purification and pressurization; the supercritical CO2 is used for preventing and treating coal and gas outburst disasters, and the liquid CO2 is used for preventing and treating goaf fire disasters to realize geological utilization; finally, gangue is intelligently recognized and grabbed to generate carbonate minerals with CO2, the carbonate minerals are evenly mixed with other materials, a paste filling material is obtained, and the paste filling material is conveyed to a goaf through a grouting high-pressure pipeline to be mineralized and sealed. The invention relates to a CO2 direct capture, geological utilization and mineralization storage integrated method, which effectively reduces the carbon emission in the coal mine production process.

The invention discloses an intelligent agricultural management method and system based on computer analysis, and particularly relates to the technical field of agricultural information, and the method comprises the following steps: obtaining farmland resource information, obtaining and processing a farmland resource information set, obtaining an environment data set and a growth data set according to a processing result, and then carrying out the environment analysis and growth analysis, a growth deviation combination and an environment deviation combination are obtained, a crop classification combination set of the target farmland is further obtained, category code numbers are generated, corresponding abnormal type early warning signals and comprehensive abnormal levels are generated according to the category code numbers and a preset early warning strategy and summarized, and an early warning combination set is obtained; by monitoring and analyzing the environment condition and the crop growth state of the farmland in real time, problems in agricultural production can be found and solved in time, various potential problems and risk factors in the farmland can be identified, and basis data of a precise management strategy can be provided for agricultural production.

In certain embodiments, an ophthalmic system for determining the topography of the anterior surface of the cornea of an eye comprises an illuminator, a camera, and a computer. The illuminator illuminates the anterior surface of the cornea of the eye with a Placido pattern. The Placido pattern comprises a plurality of rings. A ring of the plurality of rings has a distinguishing feature that distinguishes the ring from an adjacent ring. The anterior surface of the cornea reflects the Placido pattern. The camera captures an image of the reflected Placido pattern. The computer: analyzes the image to detect a distortion of the ring that indicates an anomaly of the anterior surface of the cornea; identifies the ring of the plurality of rings according to the distinguishing feature of the ring; and generates the topography of the surface of the cornea that includes the anomaly.

The invention discloses a wind turbine generator tower drum fatigue damage and life evaluation method, and particularly relates to the technical field of wind turbine generator detection. Fatigue damage and fatigue life of a wind turbine generator tower drum model are analyzed and calculated, and meanwhile, corresponding strain sensors and acceleration sensors are installed on the surface of an actual wind turbine generator tower drum; the data are transmitted to a computer through a strain sensor and an acceleration sensor to be calculated, the stress, deformation and vibration conditions of the wind turbine generator tower in the operation process are obtained, calculation is repeated at certain time intervals, then calculation results are stored in the computer, and meanwhile an equal-proportion wind turbine generator tower model is manufactured. According to the method, the wind turbine generator tower model is put into the air duct, the load stress condition of the wind turbine generator tower model is analyzed and calculated, finally, three groups of analysis results are summarized and compared, a calculation model in a computer is adjusted and optimized, and the accuracy of computer analysis and calculation is improved.

The methods and systems are directed to automated computer analysis and machine learning. Specifically, the systems and methods for using machine learning to generate fault prediction models and applying the fault prediction models to logical circuits to optimize test point insertion determinations and optimize fault detection in the logical circuit. Disclosed are methods and systems that that generates training data from training circuits (and optionally generate training circuits), trains a learning segment (which may include an artificial neural network (ANN)) using the training data. The learning segment (once trained) generates fault prediction models to predict the quality of a TP inserted on a given circuit location and optimize TPI for a given circuit. The methods and systems described provide computational (CPU / processing) time advantages and precision over conventional methods.

Automated system and method for processing online idea submissions (with crowdsourcing and anonymity functions), formal complaints and anonymous complaints. The system receives and processes registration information, creates a unique coding entry, and generates an associated keyword database. When the system receives input data from a user, it utilizes the unique coding identifier to relate to the organization, searches the keyword database in any communications involving the registered entity, automatically analyzes the received data, and preforms a zone of reliability verification analysis on the received data. The system also removes private personal information (PPI) for anonymous users, and “locks” and / or encrypts the version with PPI, preventing unauthorized access, and unseals the dataset with PPI information only after receipt of an unsealing order from a court or a governmental entity. The system also automatically generates and transmits reports to governmental entities and others based on the analysis of the reported complaints and legal requirements and guidelines. The system also calculates and utilizes a rating score as part of the engagement process with the registered entity, performs analysis and reporting of the overall industry, and connects the entity with the experts in the area of concern based on the analysis.

CT images from the neck, lung, cardiac, abdominal, pelvis, hip, spine or lower extremity areas are obtained and analyzed by a computer to measure trabecular bone density on each level it is available, in the spine and hip. Any bone tissue associated with vertebrae that is fractured is excluded, along with Schmorl's nodes, large blood vessels, and cortical bone, to accurately average the trabecular bone density on a scan. The density of fat, heart, and muscle tissue of a subject is used to calibrate the results. That data may be input to an absolute fracture risk model (Fracture Risk Algorithm calculator). Information such as bone density, T score, Z score, fracture risk, and identification of vertebral fractures (if present) may be determined and reported.

The utility model relates to the field of measuring instruments, in particular to a gear M value measuring instrument which comprises a bottom plate. And a servo moving mechanism is arranged at the upper end of the bottom plate. The external gear is placed on the upper end face of the chassis through the manipulator, then the servo moving mechanism is started to drive the moving plate and the moving block to move, the external gear is pushed to a measuring position, the camera shooting assembly is started to shoot an end face picture of the external gear, and the picture is analyzed through a computer. Then two sliding table air cylinders which are oppositely arranged are started to enable the two measuring heads to be close to each other, when the two measuring heads make contact with the outer tooth surface (in a tooth groove) of the gear, the length measuring sensor is started, numerical values of the camera shooting assembly are collected, the sliding table air cylinders are started again to drive the measuring heads to move oppositely, and the measuring heads are disengaged from the tooth surface; then a second motor is started to enable a limiting disc to rotate, the outer gear rotates by 60 degrees, the measurement process (totally three M values) is repeated, measurement is finished, and the M value of the gear can be rapidly obtained.

A predictive diagnostic system (10) for a distributed population of automated external defibrillator (AED) devices comprises a plurality of AEDs (12) and a remote service provider (RSP) computer (14) configured to receive and transmit information pertaining to periodic AED self-tests. Each AED (121 to 12N) is provided with a controller for testing a readiness of the AED according to a self-test protocol. The RSP computer (i) analyzes self-test result data that includes functional measurement values of the periodic self-tests and which includes data from at least one failed AED (12N-2 to 12N) of the plurality, (ii) identifies an indicator of an impending fault or failure predictive of an impending AED device fault or failure in at least one non-failed AED (124) based on the analyzed data, and (iii) remotely modifies the self-test protocol of a sub-set (124) of the plurality of AEDs, based on the indicator, to pre-empt an occurrence of a self-test failure in the AED devices of the sub-set.

The invention discloses a tumor detection device and method based on a diamond quantum sensor, and belongs to the technical field of biomedical detection. The device comprises an optical fiber laser, an optical fiber beam splitter, an optical fiber attenuator, an optical fiber circulator, an optical filter, two photoelectric detectors, a differential amplifier, an electronic filter, a computer, a signal generator, two microwave antennas and an optical fiber probe. The optical fiber probe comprises an optical fiber packaged in a plastic shell, a diamond quantum sensor which is fixed at the tail end of the optical fiber and comprises an NV color center, and a first microwave antenna integrated beside the optical fiber. The laser excites the diamond to generate fluorescence, meanwhile, the signal generator drives the two microwave antennas to apply a microwave field, and the dielectric property of the sample to be detected modulates the fluorescence intensity of the diamond by influencing the microwave field. Laser noise is eliminated through a differential amplification and filtering technology, and fluorescence signal change is analyzed by a computer, so that dielectric constant distribution of a sample is reconstructed, and non-invasive and high-sensitivity detection of tumors is realized.

The application provides a WCE image scene classification method and device based on reinforcement learning and equipment, and relates to the technical field of computer analysis of medical images, and the method comprises the following steps: performing feature extraction on each current image frame in all current capsule endoscopy images to obtain a current image frame feature sequence; inputting all current image frame feature sequences into a preset recurrent neural network model to obtain a first probability prediction result of each current image frame; performing image processing on a secondary classification image frame to obtain a processed image frame, performing image enhancement on the processed image frame according to a target action to obtain an enhanced image frame; inputting the enhanced image frame into the preset recurrent neural network model to obtain a second probability prediction result of each enhanced image frame; and determining a target prediction result according to the first probability prediction result and the second probability prediction result. The application can reduce the reading time of WCE, reduce the work burden and improve the classification accuracy.

Method for controlling the switching between radio signal access points (4) in a radio network with multiple radio signal access points (4) in a working environment for autonomous vehicles (2), comprising the steps of: detecting a local distribution of a radio signal strength and / or a coverage area of ​​a respective radio signal access point (4) by an autonomous vehicle (2), transmitting the detected data from the autonomous vehicle (2) to a networked computer (5), analyzing the detected data by the computer (5) and / or creating a zone map by the computer (5) for the radio signal access points (4) in the working environment, providing the analyzed data and / or the zone map for route planning of autonomous vehicles (2) in the working environment. The disadvantages of the prior art are thereby overcome.

The present application discloses a method, apparatus, device and storage medium for allocating power interruption loads. The method obtains the total interruption load of a power grid system and the user types of multiple power users, and determines the power outage cost data and power outage compensation data of each power user based on the user type; generates a benefit function for each power user based on the power outage cost data and the power outage compensation data, thereby taking into account the own benefit of each user to ensure the accuracy of the interruption load allocation; utilizes a preset optimal response solution algorithm to iterate the total interruption load and the benefit function of each power user until the interruptible power of each power user meets the optimal benefit value of the corresponding benefit function and the sum of the interruptible power of all power users is equal to the total interruption load. The iteration is stopped to obtain the interruptible power of each power user, so as to achieve reasonable resource allocation through computer analysis, thereby efficiently managing the interruption load distribution.

To provide a method and system for determining fusion events of gene sequences, the method and system having an improved capability to detect fusion events with high sensitivity and specificity by using de novo assembly of input sequence reads before calling the fusion events.SOLUTION: A method 100 for determining a fusion event includes: the step 110 of extracting nucleic acids from a test sample; the step 120 of preparing a sequencing library; the step 130 of sequencing the nucleic acids in the sequencing library to generate sequence reads; and the step 140 of processing the sequence reads by computer analysis to call a fusion event.SELECTED DRAWING: Figure 1

Managing a package delivery system deploying an unmanned vehicle including an inflatable unit for reducing package vibration in a transportation vehicle. Package data is received at a computer, and the package data includes package descriptions. Spatial positioning of the packages in the transport space is tracked to determine, spatial positioning changes between the packages in the transport space based on the package data received at the computer and the transport. One or more unmanned vehicles are delivered to the transport space based on the spatial positioning changes in the transport space, and the unmanned vehicles including inflatable units. The inflatable units are deployed in the transport space by inflating the inflatable units at locations in the transport space based on the spatial positioning changes to discourage package movement in the transport space.