39results about How to "Large amount of data processing" patented technology

A method of image information enhancement in radiography relates to image information processing techniques in radiography. The method comprising steps of: normalizing an acquired image A(x,y) to form a normalized image B(x,y); filtering the normalized image B(x,y) by a low-pass filter to obtain an filtered image C(x,y); calculating a relative standard deviation for each pixel in the image A(x,y), three times the relative standard deviation being an edge threshold for each pixel; thresholding a difference image obtained by subtracting the filtered image C(x,y) from the normalized image B(x,y) by using the edge threshold for each pixel to form a threshold-processed image D(x,y); enhancing a contrast of the threshold-processed image D(x,y) by using a non-linear function to form a contrast-enhanced image E(x,y); determining a enhancement coefficient a(x,y); obtaining a edge-enhanced image F(x,y) by multiplying the enhancement coefficient a(x,y), the contrast-enhanced image E(x,y) and the filtered image C(x,y); and generating a resulting image by multiplying a sum of the edge-enhanced image F(x,y) and the filtered image C(x,y) with the maximum value Amax As compared with the prior arts, the inventive method has a fast processing speed for image information enhancement and a simple algorithm, images clearly, eliminates noises in the images, and satisfies the requirements of relatively more enhancement to the contrast of the dark regions in the scanned images.

The invention relates to a frequency domain analysis method of bridge fatigue life on the basis of a dynamic weighing system. The frequency domain analysis method comprises the following steps: collecting data including the vehicle weight, the vehicle speed and the axle distance of each vehicle which passes through a bridge; calculating the collected data, and carrying out curve fitting; according to a fitting probability density curve, establishing a cellular automata simulation model of the vehicle, and generating a random traffic flow; simulating load time history under different vehicle flow density conditions, and loading the load time history to a bridge influence line to obtain stress time history data; carrying out FFT (Fast Fourier Transform) on the stress time history, obtaining PSD (Power Spectral Density), and calculating relevant parameters; using a Dirlik method to establish an experience form of a PDF (Probability Distribution Function); and calculating residual service life. Calculation time is greatly shortened.

A signal-processing apparatus includes an instruction-parallel processor, a first data-parallel processor, a second data-parallel processor, and a motion detection unit, a de-blocking filtering unit and a variable-length coding / decoding unit which are dedicated hardware. With this structure, during signal processing of an image compression and decompression algorithm needing a large amount of processing, the load is distributed between software and hardware, so that the signal-processing apparatus can realize high processing capability and flexibility.

The invention discloses an intelligent engine system capable of automatically triggering intelligent home and intelligent life scenes and a method. The system comprises a data acquisition unit, an application object preference configuration unit, a distributed stream computing platform, an instruction execution unit and a message notification unit. The method comprises the steps that a, the data acquisition unit acquires environment factor data, behavioral data and physical condition data of an application object; b, the data are processed to form an environment scene mode; c, the application object sets or automatically generates personal preferences; d, weighting computing is carried out on the environment scene mode and the personal preferences, and a personalized scene mode and a scene trigger rule are developed; e, real-time data acquired by the data acquisition unit match the trigger rule of the application object; and f, if a trigger condition is met, the scene mode corresponding to the trigger rule is issued and applied to the life environment of the application object. According to the invention, the system has the advantages of being unattended, rich data source, being objective and true, scientific and compact data processing and control method and the like.

The invention relates to a fusion processing of a high-definition image. The circuit comprises a core processor, and a video input module, a video output module, a power supply module, a clock module and a memory module which are connected with the core processor. The video input module comprises two paths of Camralink port chips and is used for decoding Camralink data and transmitting decoded data to the core processor. The core processor is used for achieving receiving, image scaling, character superposition, image translation, image storage and an image fusion algorithm for real-time video image data, and achieving real-time video image data. The video output module is used for carrying out VGA output for the real-time video image data generated by the core processor. According to the invention, fusion of high-resolution real-time digital images is achieved; the processing speed is quicker and the data processing quantity is bigger than a simulation video image fusion processing circuit; and the resolution of the fused image is high.

The invention discloses a method for testing and analyzing an automatic driving system, which includes loading data to be evaluated, specifying evaluation indicators and evaluation scenarios required for evaluation; loading standard scene data as true value data according to the evaluation scene; obtaining feature quantities of the data to be evaluated; Feature quantity consistency and / or position consistency pair the data to be evaluated with the real value data to form a data pair; the position consistency refers to the consistency of positioning data in the data to be evaluated; the feature quantity consistency refers to The characteristic quantity error is smaller than the threshold; determine the matching degree of the data pair matching evaluation scene and the evaluation index, and use the data pair whose matching degree exceeds the threshold as the analysis object; analyze the evaluation index for the analysis object, and obtain the evaluation result. The invention can automatically process and analyze a large amount of automatic driving data, and has the advantages of high efficiency, large amount of data processing and accurate statistical indicators.

The present application provides a preview image processing method, a processing device, a camera device and a readable storage medium. The method is applied to an imaging device, and includes: obtaining a reference preview image collected by the imaging device, the reference preview image including the subject; determining the position information of the shooting background in the reference preview image in the reference preview image; determining The relative moving speed of the shooting subject relative to the camera device; if the relative moving speed is less than the first threshold, when the preview image to be processed subsequently collected by the camera device is acquired, if the preview image to be processed is acquired If the time interval between the image and the acquisition of the reference preview image is less than a first preset time interval, blurring is performed on the image area indicated by the position information in the preview image to be processed. In the present application, the blurring process of the preview image can be realized on the premise of avoiding an excessive data processing amount of the camera device.

The invention discloses a data acquisition system for a wide plate tensile testing machine, comprising: a sensor module, a data acquisition and processing module; capable of collecting and processing crack opening displacement signals, point strain signals, and regional strains during the wide plate tensile test process signal, mechanical signal, displacement signal and temperature signal, the acquisition system has a fast response speed, a large amount of data processing, and can prevent mutual interference between various signals. At the same time, the crack opening displacement signal, regional strain signal, mechanical signal and displacement signal collected in real time during the test can also be fed back in time, and the test signal can be fed back to the industrial computer as the main control parameter of the test process. Take control. Therefore, the wide-plate tensile test data acquisition system has high response frequency, strong anti-interference ability, high real-time data acquisition and high reliability.

The invention discloses a multi-machine cooperation control system based on a UR robot, the system comprises a plurality of tightening modules and an industrial personal computer, each tightening module comprises a UR robot, a clamp, a charging gun and a color sensor, the UR robot is connected with the clamp, the charging gun is installed on the clamp, the charging gun is used for tightening a bolt, and the industrial personal computer is connected with the industrial personal computer. Each charging gun is provided with a warning lamp, the warning lamps are used for representing the tightening result, the color sensor is used for sensing the lighting condition of the warning lamps, and the industrial personal computer is electrically connected with the color sensor, the UR robots and the charging guns. According to the multi-machine cooperative control system based on the UR robots, the industrial personal computer and the multiple tightening modules are arranged, the multiple tightening modules receive a unified instruction of the industrial personal computer, the robots are in mutual linkage, and position conflicts cannot be generated.

The invention provides a method and system for reporting body-sensed temperature, and an intelligent air conditioner. The method includes the following steps: when the intelligent air-conditioner is in sleep mode, determine the body-sensed temperature in real time; Report to the cloud platform; after the smart air conditioner turns on the sleep mode, determine at least one intermediate reporting time according to the preset time length, and report the somatosensory temperature to the cloud platform at each intermediate reporting time; , and report the body temperature to the cloud platform. This solution can report the body temperature.

The invention relates to a bridge fatigue life frequency domain analysis method based on a dynamic weighing system, comprising: collecting vehicle weight, vehicle speed, and wheelbase data of each vehicle passing the bridge; counting the collected data, and performing curve fitting; Based on the probability density curve of the vehicle, the cellular automaton simulation model of the vehicle is established to generate random traffic flow; the load time history under different traffic density conditions is simulated, and the load time history is loaded on the bridge influence line to obtain the stress time history Data; perform fast Fourier transform FFT on the stress time history, and obtain the stress power spectral density PSD, and calculate related parameters; use the Dirlik method to establish the empirical form of the stress probability density function PDF; calculate the remaining life. The invention results in a significant reduction in computing time.

The invention discloses an industrial Internet of Things for regulating and controlling the inventory of accessories and a control method thereof. The industrial Internet of Things for regulating and controlling the inventory of accessories comprises a user platform, a service platform, a management platform, a sensing network platform and an object platform which are sequentially interacted with one another, the service platform and the management platform are arranged independently, and the sensing network platform is arranged in a centralized manner; the object platforms are configured as different production line accessory supply devices, and the production line accessory supply devices are each provided with an accessory data collector. The accessory storage and consumption conditions of the corresponding production line accessory supply equipment are obtained, the collected data are uploaded in real time, and data processing and transmission are separately and independently carried out through the independent service platform and the management platform, so that different data processing parameters can be set for different production line accessory supply equipment; therefore, the accessory inventory of different production line accessory supply devices is regulated and controlled, and an Internet of Things mode of unified data receiving and sending, classified processing and transmission is realized.

The invention discloses a mine drilling rescue diversified-information-based life detecting system and a detecting method. The mine drilling rescue diversified-information-based life detecting system comprises a drilled hole internal detecting device and a ground monitoring device. The drilled hole internal detecting device comprises six drilled hole detectors which can descend into drilled holes from bottom to top, and the six drilled hole detectors are connected with the ground monitoring device by data transmission lines; the six drilled hole detectors comprise detector shells and electronic circuit boards, the electronic circuit boards are arranged in the detector shells, and controllers, first network transmission modules and intrinsic safety power sources are arranged on the electronic circuit boards. The detecting method includes steps of firstly, drilling the holes in locations with drilling rescue requirements by the aid of drilling equipment; secondly, detecting lives by the aid of drilled hole detector combinations via the drilled holes. The mine drilling rescue diversified-information-based life detecting system and the detecting method have the advantages that the mine drilling rescue diversified-information-based life detecting system is reasonable in design, easy and convenient to use and flexible in usage modes, good use effects can be realized, internal information of the drilled holes can be easily, conveniently, quickly and comprehensively acquired and can be diversified, and accordingly reliable evidence can be provided for mine drilling rescue.

The invention relates to an FPGA-based multi-channel cyclic data compressor, decompressor and method, which adopts the FPGA-based ASIC design technology to meet the low power consumption, small volume, light weight, high integration, and unit time requirements of the rotor strain data processing system. Large amount of internal data processing, good scalability and other performance requirements; the quantization level of the strain variable is selected as 16bit, which improves the accuracy of the multi-rotor strain acquisition data, and realizes real-time processing while ensuring the quantification accuracy; the data restoration error is 10‑3 ~10‑2 order of magnitude, which meets the accuracy requirements; the abnormal strain value is restored in time.