40results about How to "Guaranteed real-time processing" patented technology

The invention relates to the technical field of underwater robots, and particularly relates to a deep ocean work-type modular ROV control system, which comprises a remote communication system, a motion planning processor, a gesture detection system, a manipulator motion control system, a propeller control system, a video acquisition system, an underwater light control system, a hydraulic control system, and an underwater monitoring system, wherein the remote communication system is used for receiving an order sent by a water surface controller, acquiring data of each underwater subsystem and uploading the data; and the motion planning processor carries out integrated judgment and reasonably plans ROV motion control according to the current system state and the order sent by the water surface controller. The problem that the system is low in automation is solved; a correction and automatic judgment ability is strong; when each sub part of the system is wrong, other sub parts can cooperate mutually, safety work or recovery of the system can be ensured, and intelligence is high, and the fault tolerance ability is high.

The invention discloses a weak moving target tracking loss reinspection method based on NCC match frame difference. The method includes the following steps of acquiring the video data; performing target tracking of continuous frames of images, and for each frame in the continuous N frames of images of the tracked image, calculating the multidimensional characteristics of the target area to be the normal characteristics and calculating the offset amount of each characteristic with respect to the mean value to be the normal offset amount; when the target in the fth frame of image is lost, intercepting the reference image in the fth frame of image, intercepting the larger image to be matched in the f+kth frame of image, and calculating the cross correlation coefficient matrix; interrupting the area of the set size by taking the position with the largest cross correlation coefficient as the center, obtaining the candidate region by the frame difference method, extracting the multidimensional characteristics of the candidate region, if the deviation between the offset amount of each feature and the normal offset amount is within the set range, taking the candidate region as the target area; otherwise, k automatically increases k, repeating the above processes. The method can prevent the error detection in the traditional method.

The invention belongs to the field of underwater main control over deep-sea work type ROVs, and particularly relates to a control system and a control method for a deep-sea work type ROV. The control system comprises a monitoring layer, a control layer, an execution layer and a public data layer, wherein the monitoring layer comprises an information processing module, an equipment communication module and an equipment state monitoring module, and the control layer comprises a resource allocation module, a task decision-making module, a task control module and an instruction output module. According to the control system and the control method for the deep-sea work type ROV, a VxWorks embedded real-time operation system is applied, ensures the real-time processing of multiple ROV tasks due to high performance, and is good in stability and high in expansibility; the structure is simple, the tasks of all parts are clear, operation is efficient, the tasks are distinct in gradation, and the system is convenient to maintain; the control system and the control method for the deep-sea work type ROV are good in universality and can be widely applied to deep-sea work type ROV control systems.

The invention discloses a multi-objective ant colony algorithm for the distribution disruption management problem. The multi-objective ant colony algorithm comprises the following steps: 1) generating initial optimal paths of a plurality of distribution vehicles before disruption according to a conventional algorithm, wherein the plurality of distribution vehicles carry out distribution according to the initial optimal paths before disruption; 2) establishing a distribution disruption management model according to the disruption problem; 3) when distribution is disturbed, applying the multi-objective improved ant colony algorithm to carry out iteration solving on the distribution disruption management model to obtain an optimal solution; and 4) serving the distribution path corresponding to the optimal solution as a disruption recovery path of the plurality of distribution vehicles. The multi-objective ant colony algorithm prevents too much intervention of manual weight setting of the multi-objective problem in the conventional algorithm, can realize fast solving of the distribution disruption management problem and meets the requirements for real-time performance and accuracy.

The invention discloses an image morphology filtering method. The method comprises the steps of obtaining image information and morphologic processing information, wherein the image information comprises an original image and an image size of the original image, and the morphologic processing information comprises a filtering operation type and a structure element corresponding to the filtering operation type; according to the image size, the structure element and a memory of an image processor, decomposing the original image to obtain a plurality of sub-images; and performing filtering operation, realized based on the structure element and corresponding to the filtering operation type, on the sub-images in sequence by utilizing the image processor, wherein when processing any sub-image, the image processor performs the filtering operation on all pixel points contained in the sub-image simultaneously by utilizing a plurality of processing units of the image processor. According to the technical scheme disclosed by the invention, compared with the prior art, the image morphology filtering method has the advantages that the processing speed is greatly increased and the processing timeliness is ensured.

The invention discloses a data frame receiving and analyzing device based on a VL. The receiving and analyzing device comprises an interface circuit, an FPGA module, an industrial control core CPU and an external DDR3. The FPGA module comprises a frame recognition and verification module, a frame counting module, a timing and second interruption generating module, a frame capturing module, an analyzing module and a cache module. The interface circuit is used for converting physical electric signals of network data to digital signals. The FPGA module is used for analyzing and processing VL data frames of the digital signals, and storing the data captured in real time to the external DDR3. The industrial control core CPU is used for control and configuration of a local circuit. The received data frames based on the VL are processed due to a hardware time sharing mode, and the real-time hardware processing and real-time software refreshing of the AFDX data frames based on the VL are guaranteed.

The invention discloses a real-time video stitching algorithm based on optimal stitching line updating, and belongs to the technical field of digital image processing. According to the real-time videostitching scheme provided by the invention, an image registration technology based on feature points is used, and internal and external parameters of each camera are estimated through matching feature points of different view angle images. When image fusion is carried out between different visual angles, an image fusion algorithm based on an optimal suture line is adopted, and a background elimination algorithm based on KNN and a suture line updating algorithm based on dynamic programming are used for avoiding discontinuity and ghosting caused by the fact that a moving object penetrates through the suture line in order to solve the problems of ghosting and discontinuity possibly generated by the moving object. And finally, splicing seams are eliminated by using an image fusion algorithm based on a convolution pyramid. By adopting the video stitching scheme designed by the invention, a good large-view-field image can be provided under the condition of ensuring the stitching real-time performance.

Provided is a self-adaptive optical processing platform. An off-board module communicates with an on-board receiving module through an over-board data transmission bus, the on-board receiving module receives off-board data transmitted by the over-board data transmission bus, the off-board data are directly transmitted to a main processing module through an internal communication bus, after the main processing module processes the data, the data are transmitted to a data storage module through the internal communication bus for storage, and the data can also be invoked by a master control module through a memory. Instruction parameters of an outer device in need of control are transmitted to the corresponding off-board module by a master control computer through the over-board data transmission bus, and the control result is uploaded to the master control module by the off-board module through the over-board data transmission bus. The self-adaptive optical processing platform solves problems of the existing self-adaptive optical system of huge structures, low intelligentization and difficulty in updating and upgrading during wave-front correction processing, and can be applied to self-adaptive optical systems with multi-laser guide stars, Hartmann wave-front detectors and multi-deformation mirrors.

The invention relates to a method and system for the uplink and downlink processing audio and video data in a TD-SCDMA system. The downlink processing method includes the steps that when the main processor of a mobile terminal receives audio and video data sent by a network side, the audio and video data is separated into audio data and video data according to the H.324 protocol; on the one hand, the main processor transmits the audio data to an RECEIVER or headsets to be played; on the other hand, the main processor sends the video data to a co-processor of the mobile terminal and after receiving a video code stream from the main processor, the co-processor decodes the code stream and sends the code stream to an LCD to be displayed. The uplink processing method is the inverse process of the downlink processing method. Moreover, the system of the invention comprises equipment of the network side and the mobile terminal and is characterized in that the mobile terminal comprises the main processor, the co-processor, an MIC or headsets, the RECEIVER or headsets, the LCD and video capture equipment. The method and system of the invention ensure that the video phone service can be realized on the mobile terminal of the TD-SCDMA in the TD network.

Embodiments of the invention provide a data processing method and a device, and electronic equipment. The method comprises the steps of obtaining a to-be-analyzed JSON file; and analyzing the JSON file in a parallel processing mode. According to the data processing method and the device, and the electronic equipment, the JSON file to be analyzed can be obtained, the JSON file is analyzed in the parallel processing mode, and compared with an existing serial analysis mode, the analysis efficiency can be effectively improved, the JSON file analysis speed can be increased, the performance requirements of services can be met, and real-time processing of the services can be guaranteed.

The invention provides a real-time data processing method based on the Internet of Things. The method comprises the following steps: connecting a circuit between an Internet of Things sensor and an Internet of Things data processing system; collecting data of the sensor on a sensing layer and an application layer in real time, and transmitting the data through the circuit; configuring a channel in a transmission process to improve the utilization rate of the channel; processing the transmitted data by the Internet of Things data processing system; after the data are processed, sending response to a control component of the sensor through the circuit; and storing the data processed by the data processing system. By adoption of the method, real-time data processing can be guaranteed, the resource utilization rate of the data processing system can be improved, the optimal anti-interference ability is obtained, the data reliability is kept, it is guaranteed that the Internet of Things is not affected by the changes of external physical factors, the data file access speed is improved, and the disaster recovery ability of the Internet of Things is guaranteed.