41results about How to "Improve preprocessing speed" patented technology

The invention provides a traffic sign recognition method for a driverless car, and belongs to the technical field of image processing. According to the traffic sign recognition method, on the basis of algorithms such as a convex hull algorithm and a Hu invariant moment and transverse and longitudinal histogram scaling fast matching algorithm. Compared with existing traffic sign recognition methods, the traffic sign recognition method for the driverless car has the advantages of being large in recognition range, capable of recognizing a ban sign and an indicative sign, good in real-time performance, high in recognition accuracy and low in mistaken recognition rate.

The invention discloses a drawing and coding method for large-scale complex river network massive fine regular grids of a river basin. The method comprises the steps of S1, identifying structure layers and boundary range layers of a river basin water system body; S2, obtaining river reaches of rivers of a river basin water system segment by segment; S3, drawing two-dimensional regular grids of the rivers and coding the grids in the rivers; S4, carrying out two-dimensional compilation on the two-dimensional regular grids, thereby obtaining an integrated grid; S5, carrying out one-dimensional compilation on the integrated regular grid; and S6, establishing one-dimensional grid relationships. According to the method, on the basis of an existing massive regular grid method and tool, the large-scale massive grids are increased, reduced and coarsened simply and effectively, the grids are drawn once and can be used for life, and the data support is provided for calculation of values based on the regular grids.

The invention discloses an alarm data processing method, device and equipment, and a storage medium. The method comprises the steps: obtaining alarm data corresponding to each monitoring object in a monitoring object set; based on a merging rule, extracting alarm data corresponding to the merging rule from the alarm data to perform merging processing, wherein the merging rule is determined by analyzing historical alarm data of the monitoring object set; and sending the combined alarm data. According to the embodiment of the invention, after the alarm data of the monitored object is obtained, the alarm data of the monitored object corresponding to the merging rule is merged and sent by utilizing the merging rule determined by analyzing the historical alarm data of the monitored object, so the preprocessing speed of the alarm data is increased, and the scientificity is improved.

The invention discloses an image enhancement and binaryzation method for a photoprint file. The image enhancement and binaryzation method for the photoprint file comprises the following steps of step one, graying input color images and obtaining graying images; step two, obtaining edge gradient of a regional image block which is corresponding to every pixel point through Sobel horizontal and vertical operator; step three, performing weight fusion improvement and LC regional enhancement and obtaining a weight fusion regional contrast value for every pixel point; step four, enabling the weight fusion regional contrast value for every pixel point to serve as a pixel value of the corresponding pixel point to obtain enhancement images of the input images. According to the image enhancement and binaryzation method for the photoprint file, the existing LC algorithm is performed on weight fusion improvement by improving the existing regional enhancement algorithm, the provided image enhancement algorithm is prior in effect compared with the existing file image enhancement and binaryzation method, has a good time performance and further improves the image preprocessing speed, and compared with the prior art, the image enhancement and binaryzation method is simple in parameter adjustment and the achievement process is simple and easy to operate.

The invention provides a NURBS curve interpolation fast pre-reading processing method based on an advance-retreat method. The method is characterized in that fast dispersion is carried out on a curvature smooth area of a curve through the advance-retreat method to enable parameter step increment to change quickly, and the number of curve points needing to be processed in the pretreatment process is reduced, and meanwhile, a velocity sensitive region is detected; and a curvature radius calculating function serves as an objective function, and a curvature radius minimum point of the velocity sensitive region is found through a step-length acceleration method, thereby enhancing identification and analysis processing speed of the velocity sensitive region in the forward-looking processing process and realizing fast forward. The method comprises the following specific steps: carrying out fast recognition of the velocity sensitive region through the advance-retreat method; obtaining a curvature extremum value approximation point of the velocity sensitive region; and correcting the curvature extremum value point of the velocity sensitive region, processing being finished. The method greatly reduces the number of points needing to be processed in the pretreatment process, and greatly improves real-time performance of the forward pretreatment process.

The invention discloses a medical image processing method based on a general function. The method comprises the steps that acquired image files are uploaded in a high concurrency manner and are storedin an object storage unit, after each image file is uploaded, a function calculation unit is triggered, and an analysis unit analyzes each image file, and extracts head information and pixel information; an information processing unit constructs an index relation of the image files according to the head information, dynamically maintains the index relation in the memory and completes permanent storage; a compression unit compresses pixel information of each image file, and the compressed image is cached in the object storage unit; and a logic control unit receives a request of a front end application, loads an image viewer, and requests an index relation data model maintained in the memory. The method is based on an event driven function calculation mode, exerts the advantage and characteristic of cloud computing to the greatest extent, simplifies the complication in self-building of a server, and remarkably speeds up image pre-processing.

The invention relates to the field of pesticide residue extraction and detection methods, in particular to molecularly imprinted magnetic microspheres for triazole pesticides and an application of themolecularly imprinted magnetic microspheres. The magnetic microspheres are prepared with a method comprising steps as follows: 1), Fe3O4 magnetic nanoparticles are prepared with a coprecipitation method, surfaces of the Fe3O4 magnetic nanoparticles are modified with propenyl, and propenyl treatedFe3O4 magnetic shells are obtained; 2), molecularly imprinted polymers capable of recognizing triazolepesticide molecules are synthesized on the surfaces of the propenyl treated Fe3O4 magnetic shells, and the molecularly imprinted magnetic microspheres are obtained. With adoption of a surface imprinting technique, the self-made functional magnetic nanoparticles are taken as carriers for preparation of the magnetic molecularly imprinted nano polymers, an MI-MDSPE-LC-MS / MS method for the triazole pesticides is established on the basis of a magnetic separation technology, synchronous detection of 20 triazole pesticides in a cucumber substrate is realized, so that solid-phase extraction time andcost are saved, and pretreatment speed is effectively increased.

A pretreatment device before polyvinyl alcohol dry-process forming comprises a polyvinyl alcohol raw material bin, a finished product bin, a vacuum loader, a screw mixer, an auxiliary agent barrel and an auxiliary agent spraying device, wherein the polyvinyl alcohol raw material bin is provided with a vacuum tube connected to the loader, the loader is a vacuum loader and installed at the upper portion of the auxiliary agent spraying device, the screw mixer is arranged under the spraying device, a control valve is arranged at the bottom of the screw mixer, and a control valve outlet is arranged in the finished product bin. A pretreatment auxiliary agent is placed in the auxiliary agent barrel close to the auxiliary agent spraying device, and an outlet tube is installed in the auxiliary agent barrel, connected to an auxiliary agent mixing tank and then connected to the auxiliary agent spraying device through a liquid pump. The pretreatment device can avoid a caking adhesion phenomenon in the polyvinyl alcohol (PVA) pretreatment process well, accelerate the PVA pretreatment speed, simultaneously and greatly save manpower loss and material carrying loss and guarantee the metering accuracy.

The invention discloses a pretreatment method of a novel wet-process flower basket. The pretreatment method comprises the following steps: (a), generating ozone by an ozone generator, enabling the generated ozone to enter an ozone and hydrochloric acid tank through an ultrapure water pipeline, and controlling the concentration of the ozone at 1-100ppm; (b), controlling the concentration of hydrochloric acid at 0.01-10mol / L, controlling the temperature of a chemical liquid in the ozone and hydrochloric acid tank at 20-50 DEG C, and uniformly mixing the ozone and the hydrochloric acid in the ozone and hydrochloric acid tank in a bubbling manner; (c), immersing the novel wet-process flower basket in the chemical liquid in the ozone and hydrochloric acid tank, soaking for more than 24h. By thepretreatment method, pretreatment of the novel wet-process flower basket through the existing lye tank can be replaced, a production enterprise can be helped to make full use of the conventional tank-type texturing machine, the utilization efficiency of the tank-type texturing machine is improved, the production progress is accelerated, and the economic benefits of the production enterprise are increased.

The invention provides a medical image processing method based on SaaS, and the method comprises the following steps: authorizing a third side, enabling a service user side to request a service provider side to obtain the verification information uploaded by the third side during the image uploading, distributing a unique uploading identification for the request after successful verification, andcreating an uploading task; enabling the service user side to upload an original medical image file, enabling the service provider side to receive and process the original medical image file, obtaining an access URL address for an extractable medical image file, and storing the access URL address and the original medical image file in an SaaS image cloud platform correspondingly; executing the extraction and reading of the extractable medical image file according to a request of the service user side, displaying the extractable medical image file at the interface of the service user side. Themethod makes the most of the advantages and characteristics of cloud computing, simplifies the complexity of a self-built server, greatly speeds up the image preprocessing speed, lays a foundation forthe quick display of the image, and saves the cost and development cost of the service provider side.

The invention discloses an automatic identification and butt joint method for circular pipelines based on an intelligent hydraulic oil transfer arm technology, and the method comprises the steps: 1, rotating a two-dimensional laser scanner through an integrated holder to generate a pitch angle, and obtaining multi-view three-dimensional point cloud information of the circular pipelines; 2, establishing a disordered point cloud spatial index structure by utilizing a three-dimensional spatial grid, so that the data preprocessing speed is increased; 3, preprocessing the point cloud with the established data index structure so as to segment the three-dimensional point cloud of the whole scene into three-dimensional point cloud clusters representing different objects; 4, training the acquired point cloud data set, and continuously updating to form a time-phase invariant feature model library; and 5, completing self-identification of the circular pipelines in the port scene by utilizing themodel library and automatically butting the circular pipelines with the hydraulic oil transfer arm. Self-recognition of the circular pipelines and accurate butt joint of the circular pipeline and thehydraulic oil transfer arm can be achieved, and therefore a new step is developed towards an intelligent port.

The invention relates to the technical field of waste pretreatment, discloses a hazardous waste pretreatment system based on nitrogen protection, and solves the problems that solid waste is not screened in the crushing process, crushing is not uniform, crushing efficiency is not high, and later incineration is difficult. Supporting legs are symmetrically arranged at the bottom end of the base, a first pretreatment tank body is arranged at the top end of the base, a second pretreatment tank body is arranged above the first pretreatment tank body, the first pretreatment tank body and the second pretreatment tank body are connected through a connecting set, and an outlet pipe penetrating through the lower portion of the base is arranged at the bottom end of the first pretreatment tank body. A feeding hole is formed in the top end of the pretreatment tank body II; and through the design of the crushing mechanism, the acceleration mechanism and the connection group, the second pretreatment tank body can conveniently drive the materials to shake, so that the crushing efficiency and the crushing quality of the materials are improved, and the pretreatment speed of the materials is further improved.

The invention relates to a pesticide residue detection pretreatment device, wherein a grass column device and a ground glass flask are arranged on a bracket table; the bottleneck of the ground glass flask is butted with ground glass interface at the lower end of the glass column device in a sealed manner; the glass column device is a hollow glass column tube and is provided with a vacuum pump connection opening which is connected to a vacuum pump; an inlet at the upper end of the glass column device are connected with a polytetrafluoroethylene helix interface; the upper end of the polytetrafluoroethylene helix interface is connected with a solid phase extraction column by a polytetrafluoroethylene control valve; the polytetrafluoroethylene helix interface includes a screw head and a hollow tube, the screw head is threadly connected with the inlet of the glass column device, the hollow tube is arranged in the inlet of the glass column device, the end of the hollow tube is connected to a stainless steel collecting pipe, and the stainless steel collecting pipe penetrates through the ground glass interface at the lower end of the glass column device and extends into the ground glass flask. The pesticide residue detection pretreatment device can treat a plurality of samples at the same time and meet demands for flow speed control and large-volume elution solutio.

The invention provides a bar code identification method and device, and equipment. The method comprises the following steps: acquiring an original bar code picture; performing the image preprocessingoperation on the original bar code picture by an image processor according to the preprocessing instruction to obtain a preprocessed bar code picture; and identifying the target code value of the preprocessed bar code picture.

The invention discloses a method and a device for optical element laser preprocessing based on a total reflection principle. The method comprises that a laser beam enters the inside of a transparent optical element from a side of the transparent optical element and irradiates a processing point 1 of the front surface of the transparent optical element, the incident angle of the laser beam meets the optical total reflection condition at the processing angle 1, the laser beam is reflected to the processing point 2 of the rear surface of the element via the total reflection, the laser beam is reflected to the processing point 1 and the processing point 2 back and forth, and the laser beam is subjected to total reflection between the front surface of the inside of the element and the rear surface of the inside of the element till the laser beam exits from the other side of the transparent optical element. The laser beam is subjected to total reflection in the transparent optical element sample, the laser energy is recovered and reused, the front subsurface, the rear subsurface, the front surface, the rear surface and characteristics of the optical element are processed, and the speed of the laser preprocessing is improved.

The invention relates to a method for detecting a target in a vertical elevator based on a cloud server. The method comprises the following steps: a, acquiring image data in a lift car through a liftcar camera of the vertical elevator according to a picture capturing condition; b, writing the image data into a message management module according to node information and a screenshot condition, andstoring the image data into a cloud memory; c, reading the image data from the cloud memory through the message of the consumption message management module and providing the image data to the cloudprocessor; and d, after the cloud processor carries out batch image preprocessing on the image data, using a deep learning detection model deployed on the cloud processor to carry out accelerated reasoning operation, and finally, feeding a detection result back to the data platform. According to the method, the calculation amount of a detection model is reduced by accelerating preprocessing such as image encoding and decoding and scale transformation and replacing and cutting a backbone network, the reasoning time is reduced by using TensorRT acceleration and the like, the performance of a target detection algorithm is optimized to the maximum extent, and the processing capacity of an image in unit time is improved.

The invention provides a method for measuring the trace amount of inorganic impurities in boric acid. The method comprises the following steps: (1) weighing a certain amount of a boric acid sample, and placing the weighed sample on a PFA wide-mouth bottle; (2) directly adding an optically-pure methanol reagent into the PFA wide-mouth bottle, and evenly stirring; (3) placing the PFA wide-mouth bottle in a water bath with a constant temperature of 78 to 120 DEG C, and heating the PFA wide-mouth bottle for 45 to 80 minutes until the boric acid sample is completely dissolved to obtain a boric acid sample solution, wherein during the heating process, the opening of the wide-mouth bottle is opened; (4) cooling the boric acid sample solution, transferring the boric acid sample solution to a volumetric flask, and filling water to a meter volume; (5) using inductively coupled plasma-optical emission spectrometer (ICP-OES) to analyze the content of inorganic impurity elements in the boric acid sample solution after the step (4). The provided method can rapidly and efficiently detect the trace amount of inorganic impurities in boric acid and is especially suitable for analyzing a large amount of boric acid samples.

The invention discloses an image preprocessing method and device, an electronic device and a storage medium, and relates to the technical field of AR navigation. According to the specific implementation scheme, the method comprises: in response to a camera preview starting instruction, calling a pre-created drawing surface window through a CPU to obtain a current data frame collected by a camera;converting the current data frame into a preview texture corresponding to the current data frame through a drawing surface window; and sending the preview texture corresponding to the current data frame to the GPU, processing the preview texture corresponding to the current data frame through the GPU, and sending the processed preview texture to the ADAS through the CPU. According to the embodiment of the invention, image preprocessing can be realized without additionally registering one path of monitoring on the camera data by the CPU, CPU resources can be effectively saved, and the preprocessing speed is improved.

The invention provides a determination pre-treatment device and method for a fat-soluble vitamin sample in infant milk powder. The device comprises a sealed box body, wherein a bottom plate of the sealed box body is connected with a light shielding sleeve; the light shielding sleeve is internally provided with a centrifugal pipe with a plug; the centrifugal pipe with the plug is provided with an internally-arranged sample; an opening ground plug is arranged at the opening end of the centrifugal pipe with the plug; the light shielding sleeve is in sealed connection with the bottom plate of the box body; the bottom plate of the box body, at the lower part of the light shielding sleeve, is provided with a water inlet hole for communicating an inner cavity of the light shielding sleeve and the outer part of the sealed box body; an N2 inlet is formed in one end of the sealed box body. The treatment method finished by the device comprises the step of forming the N2 inlet in the sealed box body so that the requirements of light shielding and oxygen-free environments can be met; the content and quality of vitamins in the infant formula milk powder are guaranteed; the treatment method can be used for the pre-treatment of the fat-soluble vitamins in the infant milk powder, and oxygen-free environment reaction or the pre-treatment method can be suitable for the device; and the application range is enlarged, a plurality of samples can be treated at the same time and the pre-treatment speed is increased.

The invention provides a traffic sign recognition method for a driverless car, and belongs to the technical field of image processing. According to the traffic sign recognition method, on the basis of algorithms such as a convex hull algorithm and a Hu invariant moment and transverse and longitudinal histogram scaling fast matching algorithm. Compared with existing traffic sign recognition methods, the traffic sign recognition method for the driverless car has the advantages of being large in recognition range, capable of recognizing a ban sign and an indicative sign, good in real-time performance, high in recognition accuracy and low in mistaken recognition rate.

The invention provides a determination pre-treatment device and method for a fat-soluble vitamin sample in infant milk powder. The device comprises a sealed box body, wherein a bottom plate of the sealed box body is connected with a light shielding sleeve; the light shielding sleeve is internally provided with a centrifugal pipe with a plug; the centrifugal pipe with the plug is provided with an internally-arranged sample; an opening ground plug is arranged at the opening end of the centrifugal pipe with the plug; the light shielding sleeve is in sealed connection with the bottom plate of the box body; the bottom plate of the box body, at the lower part of the light shielding sleeve, is provided with a water inlet hole for communicating an inner cavity of the light shielding sleeve and the outer part of the sealed box body; an N2 inlet is formed in one end of the sealed box body. The treatment method finished by the device comprises the step of forming the N2 inlet in the sealed box body so that the requirements of light shielding and oxygen-free environments can be met; the content and quality of vitamins in the infant formula milk powder are guaranteed; the treatment method can be used for the pre-treatment of the fat-soluble vitamins in the infant milk powder, and oxygen-free environment reaction or the pre-treatment method can be suitable for the device; and the application range is enlarged, a plurality of samples can be treated at the same time and the pre-treatment speed is increased.

The invention provides a NURBS curve interpolation fast pre-reading processing method based on an advance-retreat method. The method is characterized in that fast dispersion is carried out on a curvature smooth area of a curve through the advance-retreat method to enable parameter step increment to change quickly, and the number of curve points needing to be processed in the pretreatment process is reduced, and meanwhile, a velocity sensitive region is detected; and a curvature radius calculating function serves as an objective function, and a curvature radius minimum point of the velocity sensitive region is found through a step-length acceleration method, thereby enhancing identification and analysis processing speed of the velocity sensitive region in the forward-looking processing process and realizing fast forward. The method comprises the following specific steps: carrying out fast recognition of the velocity sensitive region through the advance-retreat method; obtaining a curvature extremum value approximation point of the velocity sensitive region; and correcting the curvature extremum value point of the velocity sensitive region, processing being finished. The method greatly reduces the number of points needing to be processed in the pretreatment process, and greatly improves real-time performance of the forward pretreatment process.

The invention discloses an image processing method and device, electronic equipment and a computer readable storage medium, and relates to the technical field of image processing. According to the specific implementation scheme, the method comprises the steps: acquiring a to-be-processed image; converting the image to be processed into a three-channel YUV image; carrying out the convolution operation on a Y channel image, a U channel image and a V channel image in the three-channel YUV image, respectively generating an R channel image, a G channel image and a B channel image, and acquiring a three-channel RGB image; and preprocessing the three-channel RGB image. According to the scheme, the image preprocessing speed can be improved.

The invention discloses a method and a device for optical element laser preprocessing based on a total reflection principle. The method comprises that a laser beam enters the inside of a transparent optical element from a side of the transparent optical element and irradiates a processing point 1 of the front surface of the transparent optical element, the incident angle of the laser beam meets the optical total reflection condition at the processing angle 1, the laser beam is reflected to the processing point 2 of the rear surface of the element via the total reflection, the laser beam is reflected to the processing point 1 and the processing point 2 back and forth, and the laser beam is subjected to total reflection between the front surface of the inside of the element and the rear surface of the inside of the element till the laser beam exits from the other side of the transparent optical element. The laser beam is subjected to total reflection in the transparent optical element sample, the laser energy is recovered and reused, the front subsurface, the rear subsurface, the front surface, the rear surface and characteristics of the optical element are processed, and the speed of the laser preprocessing is improved.

The invention relates to a kitchen waste oil extraction treatment process method and system, the method comprises the following steps: washing with water in kitchen waste pretreatment, filtering the liquid to extract oil, hydrolyzing the slurry and then extracting oil, and the system comprises a slurry preparation part, an oil extraction part and a hydrolysis acidification tank. Through water washing and secondary oil extraction, the oil extraction rate can be greatly improved, interference of oil to a pretreatment system is reduced, and the treatment efficiency of the whole system is greatly improved.

The invention relates to a method for simplifying large-scale virtual dynamic group in the technical field of virtual reality technique. With the purpose of improving rendering speed and rendering effect of large-scale group animation, in the method of the invention, fixed grid surface spot sampling is employed and sampling point redundancy is removed to reduce information memory space, improve pre-processing speed; information retained at a sampling point list and a triangle list is used for replacing vertex information and surface information in an X file of an original model to generate X-file-like files instead of using key frame technology, so that processing complexity of group animation is simplified, different X-file-like files are created according to different LOD levels for group rendering, as a result, rendering speed is accelerated and rendering effect is improved. On the basis, the method of the invention can be employed to effective simplify the large-scale virtual dynamic group.

The invention provides a glycosylated protein sample pretreatment method based on a homogeneous reaction system. In the method, the water-soluble gold nanocluster material is dissolved in water, and acetonitrile is used for separation and enrichment of glycosylated polypeptides. The method is based on the enrichment of glycosylated polypeptides by a homogeneous system of water-soluble gold nanocluster materials. The method has high sensitivity and is suitable for pretreatment of post-translationally modified protein samples in biological samples.