34results about How to "Meet real-time processing needs" patented technology

The invention belongs to the field of radar signal processing, and discloses a missile-borne SAR sub-aperture forward squint high-order nonlinear chirp scaling imaging method. According to the method, missile-borne SAR forward squint high-order nonlinear chirp scaling imaging is achieved through sub-aperture data, and the method can be used for SAR imaging of airborne platforms or missile-borne platforms. The method mainly includes the steps of firstly, conducting distance pulse pressure and time domain walking correction on an echo signal; secondly, converting the signal into the two-dimensional frequency domain, conducting frequency domain migration correction and secondary compression, and compensating for the high order phase in the orientation direction; thirdly, leading high-order nonlinear chirp scaling disturbance factors into the orientation frequency domain, and correcting the space variability of the Doppler frequency modulation and the high-order terms in the orientation direction; fourthly, focusing an image on the orientation frequency domain through spectrum analysis. The method solves the problem of decoupling of distance orientation and the orientation focus depth problem caused by time domain walking correction, and the method can meet the requirements for different scenes and high resolution and can be used for the field of ground mapping and other fields.

The invention discloses an embedded intelligent monitoring and remote maintaining system of manufacturing equipment. A remote maintaining center and an embedded intelligent monitoring and maintaining unit which is installed at a different place constitute a star network, wherein the embedded intelligent monitoring and maintaining unit comprises a micro controller, a data acquisition module, a data interaction module, a man-machine interaction module and a data memory module, and the remote maintaining center comprises a system state monitor, an equipment fault diagnosis module and an equipment management module. The embedded intelligent monitoring and remote maintaining system has a man-machine interaction function, is wide in application occasion, and can well conduct real-time data processing.

The invention discloses a method, a device and a system for scheduling in a multiprocessor nuclear system and relates to the field of the multiprocessor nuclear system. The method, the device and the system can meet real-time network input / output (I / O) processing requirements so as to promote efficiency of the whole multiprocessor nuclear system. The method for scheduling in the multiprocessor nuclear system comprises obtaining a first control parameter, a second control parameter, a third control parameter and a fourth control parameter in an operation period of the multiprocessor nuclear system; transmitting data packages of data streams entering the multiprocessor nuclear system to an idle processor nucleus for processing according to the first control parameter, the second control parameter and the third control parameter; and switching the processor nucleus in the multiprocessor nuclear system between a cutting-off mode and a polling mode according to the fourth control parameter. The method, the device and the system are mainly used for processor nucleus scheduling.

The invention discloses a fast Realization method for simulation 3D scene SAR radar echo based on forward method. The main idea of the fast Realization method comprises the following steps: acquiring digital elevation model (DEM) data within SAR radar beam range, wherein the data comprises K point targets; randomly distributing the K point targets on a 2D ground in the geographic coordinate system, and calculating DEM data within the SAR radar beam range after refinement processing; acquiring back scattering property distribution of the DEM data within the SAR radar beam range after refinement processing; utilizing an improved downward angle comparison method to determine shaded areas of Q small surface elements, calculating final actual back scattering coefficients of the Q small surface elements after shaded area determination, and then calculating SAR radar echo of the Q small surface elements. At this time, the whole 3D scene echo simulation is completed in a graphic processing unit (GPU), and finally an echo signal in the GPU is sent to a CPU processor to be output.

The invention discloses an embedded intelligent monitoring and remote maintenance system of a powder forming machine. The embedded intelligent monitoring and remote maintenance system is composed of an on-site monitoring unit and a powder forming machine manufacturer remote maintenance center. A workshop on-site monitoring platform has the function of obtaining the important running state of the powder forming machine through real-time data interaction with a main controller of the powder forming machine and through workshop field data collected through data collection devices such as a sensor, a video collection device and an audio collection device, the function of displaying the real-time running state of the powder forming machine on a display device, the function of alarm prompt and the like. Meanwhile, the on-site monitoring unit can conduct data compression and data classification on state parameters of the powder forming machine and sends data to a remote maintenance center of a device producer and a person in charge of a certain part of the powder forming machine through an Ethernet interface, a GPRS interface and a short message sending module, and therefore online monitoring and remote fault diagnosis of the powder forming machine, and the maintenance service are achieved, and related personnel are notified. The embedded intelligent monitoring and remote maintenance system is low in cost, complete in function, high in configurability and high in tailing capability, functional modules can be increased or reduced according to the on-site running state of the powder forming machine, and the embedded intelligent monitoring and remote maintenance system has high universality.

The invention provides a real-time processing method for cancellation of direct wave and clutter of an external radiation source radar on a graphic processing unit (GPU), a high-efficiency parallel processing process is built, and the real-time processing capacity of an algorithm is improved. The method comprises the steps: (1), conducting parallel processing on signal in a section mode, and sectioning a signal to be processed in T seconds; (2) adopting a BLMS method to conduct cancellation processing on the signal of each section, wherein the signal of each section is parallel processed through the step (1); (3) adopting the GPU to conduct parallel processing on the signal, processed through the step (1), of each section, conducting processing on data in each section through a fast Fourier transform (FFT) algorithm in a multithreading mode, removing an overlapping region on an output result, conducting splicing, at the same time, outputting a filter coefficient of a last block of data, and serving the filter coefficient as an initial weight coefficient of subsequent data processing; and (4) serving an iterative finally-obtained filter coefficient w (n) as an initial filter weight value of data in a next second, namely, iterating the data of a first section for K times, and processing the subsequent data only once.

The invention relates to a rapid target detection method based on adaptive convolution, and the method comprises the steps: obtaining image data with a label, and forming a training set; constructinga target detection network based on an adaptive convolution module; training the proposed target detection network on the formed training set until the target detection network converges to obtain a trained target detection network; and detecting the image by using the trained target detection network, removing repeated results, and outputting a final result. By dynamically adjusting the parameters of the convolution filter, the expression capability of the detection network for extracting the features is improved, the irrelevant interference features are inhibited, the feature response of theinterested target is enhanced, the extracted features are more suitable for the detection requirement of the current scene, and the detection performance of the extracted features on the small-scaletarget in the complex scene is improved.

The invention discloses an FPGA-based solid-state power controller inverse time over-current protection device, mainly solving the problems that the existing time over-current protection device is poor in reliability, high in power consumption, low in accuracy and poor in strong electromagnetic interference resistance. In the invention, a clock management module, a multiple data register group module, an FSM control module, an inverse time over-current protection module and an output control module are arranged in the interior of FPGA; wherein the multiple data register group module receives an FSM control module address signal and outputs data to the FSM control module which judges the data, the judged data enters the inverse time over-current protection module, result calculated by the inverse time over-current protection module is returned to the FSM control module which compares the returned data, the comparison result is sent to the output control module which outputs a control signal to an outside circuit, and the clock management module provides a system clock for all modules. The invention has the advantages of high accuracy, strong reliability, strong electromagnetic interference resistance, low power consumption and the like.

The invention discloses a rapid two-dimensional CFAR (Constant False Alarm Rate) target detection system and detection method. The detection system comprises a phase reference accumulation result reading module, a distance dimension CFAR detection module, and a velocity dimension CFAR detection module. The detection method comprises steps that the phase reference accumulation result reading modulereads and records an echo phase accumulation result; the distance dimension CFAR detection module performs CFAR detection at the distance dimension on the phase reference accumulation result; and thevelocity dimension CFAR detection module performs CFAR detection at the velocity dimension through the point of the distance dimension CFAR. According to the rapid two-dimensional CFAR target detection system and detection method, rapid two-dimensional CFAR detection is realized by decomposing the two-dimensional phase reference accumulation result into distance dimension and velocity dimension separately, and performing CFAR detection; and the detection time can be greatly reduced, and the real-time processing demands of radars can be meet through engineering practice verification.

The invention relates to the field of oil and gas pipelines, and discloses an oil-gas pipeline cloud processing system and an implementation method, so as to solve the technical problem of low reliability of an oil-gas pipeline SCADA system in the prior art. The oil-gas pipeline cloud processing system comprises M station servers, a main data center and N area data centers, wherein the M station servers are used for acquiring station data of corresponding stations, and sending real-time task acquiring requests containing the station data to the main data center; the main data center is used for receiving the real-time task acquiring requests, storing the station data, selecting one area data center from the N area data centers for processing a real-time task, and determining a plurality of servers positioned in at least two of the area data centers from the N area data centers for backing up the station data; and the N area data centers are used for processing tasks and backing up the station data based on control of the main data center. The oil-gas pipeline cloud processing system and the implementation method achieve the technical effect of improving storage and control reliability of the system.

The embodiment of the invention provides an image fusion method and device. The method comprises the following steps: acquiring a visible light image and an infrared image of a target image; respectively carrying out pixel filling on the visible light image and the infrared image to obtain a first visible light image and a first infrared image; sequentially performing brightness fusion and detail layer fusion on the first visible light image and the first infrared image according to a preset fusion rule to obtain a target brightness value and a target chromatic value of each pixel point in the target image; and obtaining a fused image according to the target brightness value and the target chromatic value of each pixel point. The embodiment of the invention solves the problems that in the prior art, an infrared image and visible light image fusion method is generally large in calculation amount and single in use scene.

The invention discloses a pyramid-based scatter diagram sampling method and system. The method comprises the following steps: converting a scatter diagram of acquired sample data into a density map; constructing a data density pyramid and a visual density pyramid based on the density map; taking the top layer value of the visual density pyramid as the initial sample number allocated to the corresponding area in the sample allocation graph, calculating the sample number allocated to each area in the sample allocation graph layer by layer according to the data density pyramid and the visual density pyramid, and obtaining a final sample allocation graph; and selecting sample points based on the final sample distribution diagram to obtain a sampling result. A pyramid structure commonly used for image processing is used for scatter diagram sampling so as to solve the problem of over-drawing, and effect sampling points capable of keeping high relative density and abnormal values at the same time are selected by fusing a data density map and a visual density map.

The present invention discloses a signal lamp image processing method and system. The method and system comprise: obtaining at least one low-exposure image and at least one normal-exposure image; performing color correction for a reddish pixel area of the at least one low-exposure image to obtain a low-exposure image after correction; and fusing of the low-exposure image after correction and the normal-exposure image to generate a fusion image. The low-exposure image after correction and the normal-exposure image are fused to generate the fusion image to allow the whole brightness of the fusion image to be unchanged; when color correction is performed, a region of interest is subjected to correction, a calculated quantity is greatly decreased, the reddish pixel area in the region of interest is corrected, and image processing can be accurate to a pixel level.

The invention belongs to the field of radar signal processing, and discloses a missile-borne SAR sub-aperture forward squint high-order nonlinear chirp scaling imaging method. According to the method, missile-borne SAR forward squint high-order nonlinear chirp scaling imaging is achieved through sub-aperture data, and the method can be used for SAR imaging of airborne platforms or missile-borne platforms. The method mainly includes the steps of firstly, conducting distance pulse pressure and time domain walking correction on an echo signal; secondly, converting the signal into the two-dimensional frequency domain, conducting frequency domain migration correction and secondary compression, and compensating for the high order phase in the orientation direction; thirdly, leading high-order nonlinear chirp scaling disturbance factors into the orientation frequency domain, and correcting the space variability of the Doppler frequency modulation and the high-order terms in the orientation direction; fourthly, focusing an image on the orientation frequency domain through spectrum analysis. The method solves the problem of decoupling of distance orientation and the orientation focus depth problem caused by time domain walking correction, and the method can meet the requirements for different scenes and high resolution and can be used for the field of ground mapping and other fields.

The invention discloses a collaborative computing method and system. The method is applied to a system comprising a transfer module, at least one pre-computation module and at least one post-computation module, and the each pre-computation module and the each post-computation module are configured in different devices. The method comprises the following steps: after any one pre-computation moduleobtains input data of any one computation task, executing pre-processing to obtain an intermediate computation result; determining a theme type to which the computing task belongs; constructing a theme message containing the intermediate calculation result and a theme type identifier, and transmitting the theme message to a transfer module; enabling the transfer module to receives the theme message sent by each front computing module, and forwards the theme message identified by the specific theme type to the corresponding rear computing module according to the corresponding relationship between the theme type and the rear computing module; and after receiving the theme message, enabling any postposition calculation module to obtain s an intermediate calculation result through analysis, and executes postposition processing for the intermediate calculation result to complete a calculation task.

The invention discloses an embedded intelligent monitoring and remote maintaining system of manufacturing equipment. A remote maintaining center and an embedded intelligent monitoring and maintaining unit which is installed at a different place constitute a star network, wherein the embedded intelligent monitoring and maintaining unit comprises a micro controller, a data acquisition module, a data interaction module, a man-machine interaction module and a data memory module, and the remote maintaining center comprises a system state monitor, an equipment fault diagnosis module and an equipment management module. The embedded intelligent monitoring and remote maintaining system has a man-machine interaction function, is wide in application occasion, and can well conduct real-time data processing.

The invention discloses a mode decision circuit in video coding, which comprises three parallel processing circuits, and is characterized in that when a first processing circuit carries out coding mode decision on four 4*4 units to obtain a first RDO value, a second processing circuit carries out coding mode decision on 8*8 units to obtain a second RDO value; a first comparison circuit comparing the first RDO value and the second RDO value to preserve the coding mode of the minimum value; a third processing circuit performs coding mode decision on the 16*16 unit to obtain a third RDO value; the second comparison circuit obtains a fourth RDO value according to the coding modes of the four 8*8 units stored by the first comparison circuit, and compares the fourth RDO value with the third RDO value to store the coding mode of the minimum value; the third processing single path performs coding mode decision on the 32*32 unit to obtain a fifth RDO value; and the third comparison circuit obtains a sixth RDO value according to the coding modes of the four 16*16 units stored by the second comparison circuit, and compares the sixth RDO value with the fifth RDO value to take the coding mode with the minimum value as a 32*32 coding mode, so that the aim of meeting the real-time processing requirement is fulfilled.

The invention provides a medical cloud platform for medical big data processing. The medical cloud platform comprises a plurality of edge computing terminal chains. The edge computing terminal chainsinclude a plurality of edge computing terminals. The medical cloud platform further comprises display control devices which are distributed in different branch consulting rooms of different floor areas of a hospital and used for displaying visual information of the edge computing terminal chains corresponding to the types of the branch consulting rooms. After a user enters the selected consultingroom for a preset time period, the edge computing terminal used for inputting the basic information of the user by the user is deleted from the added edge computing terminal chain or the newly established edge computing terminal chain. If the number of the edge computing terminals in the edge computing terminal chain exceeding the first preset value is larger than a second standard value, warninginformation is sent to a far-end cloud data processing center; and the far-end cloud data processing center sends an adjustment signal to a plurality of different types of edge computing terminals ineach floor area of the hospital. According to the technical scheme, different types of medical treatment information data can be efficiently processed in real time.

The invention discloses a RapidIO-based high-speed communication method between SoC chips of an on-board system. Six transfer rates are included, based on a RapidIO 3.1 communication protocol, according to market demands, the RapidIO interface of SoC chips is configured with four transfer modes: an AXI bus mode, a DMA transfer mode, a DME transfer mode, and a doorbell mode. The communication method designs an automatic transmission method, according to the amount of data to be transmitted and destination address basic information, the most efficient transfer mode is selected from four transfermodes automatically, that transmission bandwidth is fully utilized, the problem of high speed communication between SoC chips and other connected chip-to-terminal equipment in missile guidance systemis solved, and the requirements of large data volume and small data volume are met. The transmission rate can reach 10.3125 Gbps, and the utilization ratio of transmission bandwidth can be increasedfrom 30% to 52%. The method is suitable for most hardware transmission interfaces on the market.

The present invention discloses a method, an apparatus, and a system for scheduling a processor core in a multiprocessor core system, which relate to the field of multiprocessor core systems, and can meet the demand for real-time network I / O processing, thereby improving the efficiency of the overall multiprocessor core system. The method for scheduling a processor core in a multiprocessor core system includes: obtaining, in the running process of the multiprocessor core system, a first control parameter, a second control parameter, a third control parameter, and a fourth control parameter; transferring a packet of a data flow that enters the multiprocessor core system to an idle processor core for processing based on the first control parameter, the second control parameter, and the third control parameter; and switching over the processor core in the multiprocessor core system between an interruption mode and a polling mode based on the fourth control parameter. The present invention is mainly applied to schedule a processor core.

This specification discloses a collaborative computing method and system. The method is applied in a system including a transfer module, at least one front computing module and at least one post computing module, and the front computing module and the post computing module are configured in different devices. The method includes: after any pre-computing module obtains the input data of any computing task, it performs pre-processing to obtain an intermediate calculation result; determines the topic type to which the computing task belongs; constructs a Topic message, which transmits the topic message to the transfer module; the transfer module receives the topic message sent by each pre-computing module, and forwards the topic message identified by the specific topic type to the corresponding post-computing module according to the corresponding relationship between the topic type and the post-calculation module Calculation module; any post-calculation module receives the topic message, obtains the intermediate calculation result through parsing, and performs post-processing on the intermediate calculation result to complete the calculation task.

The invention is applicable to the technical field of computer vision, and provides a method and device for fast identification of video classification. The method comprises: obtaining the video to be tested, extracting the motion vector and the original RGB image from the video code stream of the video to be tested; converting the motion vector into a motion vector image; inputting the original RGB image to a predetermined convolution based on the RGB image In the neural network, to obtain the classification category confidence based on RGB; input the motion vector image into the predetermined enhanced convolutional neural network based on the motion vector, to obtain the classification category confidence based on the motion vector; the classification category based on RGB Confidence and the classification category confidence based on the motion vector are fused to obtain the classification category confidence of the video to be tested; the category corresponding to the highest score in the classification category confidence of the video to be tested is used as the content in the video to be tested corresponding category. The invention can effectively improve the efficiency of video classification and recognition.

The invention discloses an FPGA-based solid-state power controller inverse time over-current protection device, mainly solving the problems that the existing time over-current protection device is poor in reliability, high in power consumption, low in accuracy and poor in strong electromagnetic interference resistance. In the invention, a clock management module, a multiple data register group module, an FSM control module, an inverse time over-current protection module and an output control module are arranged in the interior of FPGA; wherein the multiple data register group module receives an FSM control module address signal and outputs data to the FSM control module which judges the data, the judged data enters the inverse time over-current protection module, result calculated by the inverse time over-current protection module is returned to the FSM control module which compares the returned data, the comparison result is sent to the output control module which outputs a control signal to an outside circuit, and the clock management module provides a system clock for all modules. The invention has the advantages of high accuracy, strong reliability, strong electromagnetic interference resistance, low power consumption and the like.

The invention relates to the field of oil and gas pipelines, and discloses an oil-gas pipeline cloud processing system and an implementation method, so as to solve the technical problem of low reliability of an oil-gas pipeline SCADA system in the prior art. The oil-gas pipeline cloud processing system comprises M station servers, a main data center and N area data centers, wherein the M station servers are used for acquiring station data of corresponding stations, and sending real-time task acquiring requests containing the station data to the main data center; the main data center is used for receiving the real-time task acquiring requests, storing the station data, selecting one area data center from the N area data centers for processing a real-time task, and determining a plurality of servers positioned in at least two of the area data centers from the N area data centers for backing up the station data; and the N area data centers are used for processing tasks and backing up the station data based on control of the main data center. The oil-gas pipeline cloud processing system and the implementation method achieve the technical effect of improving storage and control reliability of the system.

The invention discloses a field programmable gate array-based (FPGA-based) vehicle vibration signal wave filtering device, which is characterized in that: a reference noise signal x(n) is switched into an input end of a first register, a noisy vibration signal d(n) is switched into an input end of a second register, an output signal x(n) of the first register is switched into an input end of a wave filter, an error signal e(n-1) outputted by a subtracter is respectively switched into an input end of a third register, a second input end of the wave filter and an input end of a variable step size factor calculation circuit, an output signal variable step size factor Mu(n-1) of the variable step size factor calculation circuit is switched into a third input end of the wave filter, an output signal d(n) of the second register is switched into an input end of the subtracter, a filtered reference noise signal y(n) which is outputted by the wave filter is switched into another input end of the subtracter, and the third register outputs a vehicle vibration signal after being filtered. An algorithm referred by the device has the advantages of fast calculating speed, fast convergence speed, high real-time performance, good filter effect and the like, so the real-time processing requirement of the signal can be satisfied.

The embodiment of the invention provides a target detection method and device, flight equipment and a computer readable storage medium, and relates to the technical field of computer vision. The method comprises the following steps: firstly, acquiring a frame image set corresponding to a real-time inspection video, and then sequentially carrying out target detection on each frame image in the frame image set by utilizing a target detection algorithm to obtain position information and classification information of a target detection object. And obtaining a detection result image corresponding to each frame of image according to the position information and the classification information of the target detection object. And finally, synthesizing a target video marked with the target detection object according to each frame of detection result image in sequence. Therefore, the flight equipment can directly process the collected real-time inspection video to obtain the target video marked with the target detection object, the efficiency of the inspection video processing result is improved, and the real-time processing requirement of a user is met.

The invention discloses a signal light image processing method and system. The method and system obtain at least one frame of low-exposure image and at least one frame of normal exposure image; color correction to obtain a corrected low-exposure image; fusing the corrected low-exposure image with the normal exposure image to generate a fusion image. The present invention generates a fusion image by fusion with a normal exposure image, so that the overall brightness of the fusion image does not change; when performing color correction, only the region of interest is corrected, the amount of calculation is greatly reduced, and only the region of interest is corrected. The reddish pixel area, the image processing can be accurate to the pixel level.

The invention discloses an SAR echo acquisition method based on a graphics processing unit. The main idea of invention comprises the steps of determining carrier aircraft flight speed of an SAR, synthetic aperture azimuth time of the SAR, carrier aircraft flight direction of the SAR and P point targets in an SAR beam irradiating scanning range; then classifying the P point targets into K concentric circles; selecting an energy amplitude value of the i-th point target in the k-th concentric circle for multiple interpolation operation; sequentially calculating an echo expression of the i-th point target in the k-th concentric circle and an SAR pulse pressure echo corresponding to the k-th concentric circle at the azimuth time t; finally carrying out matched filtering reverse processing after calculating an SAR pulse pressure echo Et corresponding to the K concentric circles at the azimuth time t; calculating an original echo signal before the pulse compression at the azimuth time t; and thus calculating a corresponding SAR original echo signal in the synthetic aperture azimuth time of the SAR.