25 results about "Embedded technology" patented technology

The invention provides a multi-channel video stitching method and device based on an embedded technology development platform, and belongs to the field of video stitching. The core technology problems of low efficiency, high energy consumption, high delay, difficulty in modeling and the like in video stitching are solved; the method specifically comprises the following steps: acquiring and calculating an external parameter matrix of each camera, and performing distortion correction on a video frame; dividing data acquired by all the cameras into a group A and a group B, and extracting independent cameras; defining an energy function, searching splicing lines of different video frames based on a BFS algorithm, and sequentially splicing the video frames in the group A and the group B to complete preliminary splicing; performing illumination consistency compensation on the preliminarily spliced video frames by using a lightweight depth compensation network technology, and performing optimization processing on the compensated video frames by using a pyramid multi-scale fusion technology to obtain a spliced video; according to the invention, distortion correction, geometric alignment and video stitching are carried out on the videos shot by the cameras, so that a high-quality stitched video is obtained, and the video stitching efficiency is improved.

The invention provides a disaster monitoring equipment configuration and debugging method and system, and relates to the field of embedded technology, and the method comprises the steps: initializing a USB serial port based on a pre-obtained authorized access authority; receiving serial port data in real time based on the USB serial port; reading the serial port data, and identifying a command field; obtaining a command action based on a preset command chain table and the command field; packaging the command action into instruction data; and sending the instruction data to disaster monitoring equipment for configuration and debugging. The problem that the prior art depends on special serial port transmission and cannot flexibly configure and debug disaster monitoring equipment under complex working conditions is solved. According to the invention, by simplifying serial port setting and providing reliable serial port transmission, the stability of disaster monitoring equipment configuration and debugging is improved.

This invention relates to the field of automotive embedded technology, and discloses a method, device, chip, and storage medium for virtualizing onboard computing power in engineering machinery. It is applied to an onboard main control chip, which includes a main computing power module and a computing power expansion module. The main computing power module includes a central processing unit and a core computing power unit, while the computing power expansion module includes multiple extended computing power units. The method includes: acquiring computing tasks from microservice software running within the central processing unit; allocating target computing power resources from the core computing power unit or multiple extended computing power units according to a preset computing power allocation queue; and calling the target computing power resources to execute the computing tasks. This invention virtualizes onboard computing power through the main computing power module and the computing power expansion module, enabling unified scheduling and management of computing power resources. It supports elastic expansion of computing power, flexibly meeting the computing power requirements of different levels of intelligent driving and operational scenarios, supporting service-oriented software development, and increasing the flexibility of software and algorithm development.

The invention relates to the technical field of artificial intelligence and embedding, and discloses a multi-modal fusion AI accompanying intelligent system applied to a single-chip microcomputer, and the system comprises a data collection unit which is used for carrying out the synchronous collection of an asynchronous original signal according to a DMA channel and a hardware timer; the parallel quantization unit is used for carrying out parallel processing on the multi-modal data flow by adopting a three-stage pipeline architecture; the self-adaptive fusion unit is used for adopting a self-adaptive fusion method for the real-time quantitative feature flow; the emotional state recognition unit inputs the low-delay fusion features into a lightweight neural network to recognize the current emotional state of the user; the interaction strategy generation unit is used for performing multi-thread parallel processing on the emotional state recognition result to generate a personalized interaction strategy; the output control unit adopts a multi-channel DMA controller and a priority scheduling algorithm to realize concurrent operation of output equipment for the parallelization interaction instruction; according to the invention, by adopting a hardware-level data synchronization technology, accurate acquisition and processing of multi-modal data are realized.

The invention relates to a method for safely restarting a DSP (Digital Signal Processor) for multiple times by utilizing a software mode, and belongs to the field of embedded technologies. In order to remotely or automatically reset an abnormal DSP unit under the condition that a main power supply is not cut off, furthest reserve a data processing context before the abnormal DSP unit is abnormal and reduce a service interruption event, the DSP is safely restarted for multiple times in a software mode, and the method is simple and convenient to operate on the premise that the main power supply of equipment does not need to be cut off. Software resetting is carried out by writing a specific preset restart instruction into the receiving end of the DSP or triggering interruption, reliable resetting of the running state of the DSP is achieved, and the function of the DSP can be rapidly recovered under the condition that interference on an upper-layer application and peripheral equipment is minimum. And temporary data and task states stored in the chip are prevented from being lost due to power failure, so that the continuous operation reliability and maintainability of a complex electronic system are greatly improved.

The application provides a data processing method, system, device and medium, and mainly comprises the following steps: acquiring a sensor signal, sending the sensor signal to a read bit line of an SRAM array; determining that the voltage value of the read bit line is stable, and turning on a read word line of the SRAM array; acquiring a weight value of the sensor signal through the read word line, performing a multiplication operation according to the weight value, obtaining a first output voltage, and outputting the first output voltage to a shared bit line; performing binaryzation processing on the first output voltage to obtain second output data, and obtaining a convolution operation result from the second output data; the scheme can greatly reduce the hardware cost, power consumption and delay of data transmission without a series of intermediate analog-digital conversion and digital-analog conversion processing steps, can effectively improve the accuracy of the neural network algorithm, can also reduce the delay and power consumption caused by data transfer, can meet the requirements of low delay, high bandwidth and other high performance, and can be widely applied to the embedded technical field.

This application discloses a device time correction method, apparatus, device, storage medium, and program product, relating to the field of embedded technology. The method, applied to embedded devices, includes: starting a time correction service via a local configuration file when the device boots up, and setting it as a prerequisite service for business services to ensure that business services start subsequently; calling the time correction service to perform corresponding time correction operations: if the hardware detection information of the real-time clock module indicates a hardware fault or absence, then performing anomaly detection on the current system time; if the current system time is abnormal, correcting the system time using a target time generated and pre-configured based on device batch information. This time correction scheme does not rely on an external network, is automated and timing-controllable, and based on a local time source, enables embedded devices to achieve time self-correction in offline deployment environments, ensuring time consistency and the reliability of business functions even without a network.

The application belongs to the technical field of embedded technology and the technical field of small target recognition and tracking, and particularly relates to an intelligent full-scene central control system and a control method, which comprises a main control system and a handheld controllable flashing light emitting device, the handheld controllable flashing light emitting device is an external holding device for user operation; the main control system comprises a case shell, a central processing module, an image acquisition module, a weak and small target recognition module, a target tracking projection module, a first wireless communication module and a power supply module, the image acquisition module, the weak and small target recognition module, the target tracking projection module, the first wireless communication module and the power supply module are all connected to the central processing module, and the handheld controllable flashing light emitting device comprises a light source switch, a second wireless communication module and a flashing frequency control module. The application provides an intelligent full-scene central control system and a control method which are simple to use, accurate and fast to control, low in learning cost, good in compatibility and capable of adapting to most complex scenes, so as to overcome the shortcomings of the prior art and provide a new solution for the construction of an Internet of Things intelligent ecological scene.

The application discloses a processing method and system for an embedded operating system, and relates to the technical field of embedding.Aiming at the problems of task isolated management, rigid strategy configuration, lack of dynamic optimization and the like in the prior art, the application realizes optimization through the following steps: collecting task core attributes, associating data flow correlation between tasks with control flow correlation, and constructing a business chain model; dynamically configuring a shared cycle, a sleep depth and a wake-up window based on the model, and generating a strategy mapping table; coordinating and scheduling tasks according to the strategy, accurately waking up necessary hardware, and differentiating and processing timeout scenarios, and immediately sleeping after the completion of task execution; collecting running index deviation, and dynamically adjusting strategy parameters according to the deviation type.The application realizes business chain level overall scheduling, and improves system running efficiency and stability.

This application relates to a pre-embedded electromechanical pipeline device, belonging to the field of electromechanical pipeline pre-embedded technology. It includes a sleeve with caps at both ends. The caps have internal fixing components for securing them to the sleeve. Each fixing component includes two sets of snap-fit ​​blocks, a support plate fixedly installed on the outer surface of each snap-fit ​​block for support, a T-shaped slider fixedly installed at opposite ends of the two support plates, and a moving structure fixedly installed on opposite sides of the two snap-fit ​​blocks for pushing them to move. This pre-embedded electromechanical pipeline device, by incorporating the fixing components, ensures that when the caps are removed from the sleeve, the snap-fit ​​blocks, support plates, T-shaped sliders, screws, operating blocks, pull plates, push-pull rods, support blocks, crossbars, and connecting blocks are all fixedly installed inside the caps. This effectively reduces the difficulty of securing the caps to the sleeve due to missing parts and improves the sealing efficiency of the sleeve.

This application relates to the field of embedded technology and discloses a method, system, device, and medium for processing web page resources, mainly addressing the technical problem of limited storage resources in web page deployment on embedded devices. The method includes: receiving a web page resource request sent by a client; retrieving a corresponding web page resource template from a resource server as needed based on the request; dynamically loading the retrieved web page resource template into the volatile memory of the embedded device; retrieving real-time data from the volatile memory of the embedded device and using the real-time data to dynamically synthesize the web page resource template to generate target web page content; and returning the target web page content to the client for dynamic rendering. The web page resource template is dynamically released using a preset memory management strategy.

The application discloses a kind of motor vehicle emission analysis device and system, specifically related to motor vehicle emission detection technical field, it includes for real-time monitoring and perception different source pollutant data multi-source pollutant perception module, for by intelligent algorithm constructs the dynamic model prediction pollutant emission condition of emission source behavior emission behavior intelligent modeling module.The application can calculate emission flow and pollutant emission mass in real time, data edge intelligent processing module is processed by embedded ARM+FreeRTOS technology, the data collected are quickly handled, and the detection results are supported by graphical interface display, so that operators can respond in time, positioning detection process management module is combined with GNSS positioning, to ensure the accurate tracing and data archiving of detection process, the system realizes efficient, accurate emission monitoring, provides reliable data support for environmental protection, while improving detection efficiency and accuracy, effectively solve the problem in traditional motor vehicle emission detection.

The utility model discloses a pig house environment data analysis and transmission system based on an embedded technology, the system is applied to a plurality of pig raising rooms, one pig raising room comprises a plurality of pig houses, the system comprises a plurality of sampling devices, one pig house is provided with a plurality of sampling points in advance, and the other pig house is provided with a plurality of communication devices. A plurality of sampling devices are arranged at the position of one sampling point, and the sampling devices are used for collecting sampling point environment state data of the corresponding sampling points; the plurality of regional servers are arranged in one pig house, and one regional server corresponds to the plurality of sampling devices at the positions of the plurality of sampling points and is used for obtaining working state data A of the plurality of corresponding sampling devices and regional characteristic environment data of regions where the plurality of corresponding sampling devices are located; and a plurality of hog house servers, one hog house is correspondingly provided with one hog house server, and the hog house servers are used for obtaining the hog house environment state data and the working state data B of all the sampling devices in the hog house.

The invention provides a multi-bit reconstruction design method and system based on an FPGA (Field Programmable Gate Array), and belongs to the technical field of embedding. The method comprises the following steps of: determining a situation change trend by acquiring an external environment signal and an internal task demand signal of the FPGA, and determining a task demand vector and a plurality of bit files matched with the task demand vector according to the situation change trend; and screening the candidate bit files of which the matching degrees exceed a preset matching degree threshold value to form a high-priority bit file list. If candidate bit files which are not in place exist in the list, the candidate bit files are transmitted to the first-level cache of the multi-level cache to determine a bit file priority calling sequence. Obtaining a server resource utilization rate index to determine a load environment early warning probability value, if the load environment early warning probability value exceeds a preset early warning probability value, triggering high-load early warning, and distributing a standby bit file in a second-stage cache of the multi-stage cache to generate resource contention relieving confirmation so as to generate a final multi-bit file reconstruction priority sequence; efficient prefetching of the bit file and self-adaptive relieving of resource contention are achieved, and the stable performance in a high-load environment is ensured.

The invention relates to a multi-container priority distribution method under an embedded operating system, and belongs to the technical field of embedding. According to the method, a container priority distribution manager which is at the same level as an original task priority scheduling manager of the embedded real-time system is introduced, the priority is divided into N levels (0-N-1), each level maps M priorities in original 0-255, and M is equal to 256 / N. A running state, a ready state and a blocking state are introduced, and a ready chain table with the container nodes as basic management units is used for storing all the ready container nodes; and the blocking linked list taking the container nodes as basic management units is used for storing all blocked container nodes. According to the invention, the priorities of the tasks in the containers are mapped to the containers through the container priority distribution manager, and are uniformly managed by the system priority scheduler. According to the method, the real-time performance of the container task is ensured by an optimization-level scheduling method.

The invention relates to the field of embedded technologies, and provides a firmware upgrading method and device based on an MCU platform. The method comprises the following steps: determining a running area based on a preset guide strategy, and running original firmware in the running area; when a firmware downloading command is received, storing the target firmware corresponding to the upgrading in the non-running area; when a pilot run command is received, address ranges of the running area and the non-running area are exchanged, so that the running area is configured as a new non-running area, and the non-running area is configured as a new running area to run the target firmware; when a submission command is received, the operation value corresponding to the new operation area is modified, so that the modified operation value is larger than the operation value corresponding to the old operation area, it is guaranteed that the firmware can normally jump to the new operation area after being upgraded, the firmware upgrading process is greatly simplified, and the firmware upgrading efficiency is improved. The problem that firmware versions in the A area and the B area in the module cannot be mutually independent is solved.

The invention discloses an embedded Internet of Things communication bus application deployment method based on a swan-gap system, and relates to the field of Internet of Things and embedded technologies, and the method comprises the following steps: S1, collecting a sleep wake-up trigger sequence of embedded equipment under a unified time baseline, constructing an instantaneous topology difference map, and carrying out the analysis of the instantaneous topology difference map; determining the amplitude, the duration and the influence range of the topology sudden change; s2, constructing a causal residual matrix based on the topological difference atlas, training a loop precursor recognition model for positioning an initial boundary of a topological closed loop, and extracting time delay features of key nodes; according to the method, a topological difference map is constructed based on a unified time base line, a closed loop precursor is identified, a shadow routing table is generated, path feasibility is corrected, stable forwarding of data is ensured by adopting segmented injection and amplitude limiting migration, path weight is dynamically adjusted in combination with an error frequency and mirror image traction mechanism, closed loop formation is effectively inhibited, and the reliability of the system is improved. And the stability and the safety of the communication bus in a dynamic environment are improved.

This application discloses a system hibernation / wake-up method and device, relating to the field of embedded technology. The system is a multi-core heterogeneous embedded system, including a first chip and a second chip. The method includes: when the first chip detects that the current environment meets hibernation conditions, the first chip sends a hibernation command to the second chip based on inter-core communication; when the second chip responds to the hibernation command by returning a first message to the first chip, the first chip monitors shared memory during a target time period and detects whether a first hibernation flag of the second chip exists in the shared memory, wherein the first message is used to instruct the second chip to accept hibernation, and the first hibernation flag is used to instruct the second chip to complete hibernation; when the first hibernation flag is detected during the target time period, the first chip initiates hibernation. According to the embodiments of this application, the system hibernation process can be reliably implemented.

The utility model discloses a cloud game host based on an embedded technology, which is adaptively connected with a cloud game server for use, and comprises a shell in which a cloud game mainboard is arranged, the cloud game mainboard comprises a control chip, an audio and video output interface, an audio output interface, a USB interface, a Type-C interface, a wired network interface, an audio and video decoder unit, a DDR memory unit and a Flash storage unit. The control chip is electrically connected with the audio and video output interface, the audio output interface, the USB interface, the Type-C interface, the wired network interface, the audio and video decoder unit, the DDR memory unit and the Flash storage unit. The system has the advantages of reducing the cost of game users, improving the experience of the game users and the like.

The embodiment of the present application provides a kind of embedded device control method and electronic equipment, wherein the method is applied to embedded technical field, the method includes: obtaining the natural language control information input by user, determine the control intent of the natural language control information;Determine the execution script matched in the control intent in target embedded device;The target embedded device is controlled to execute the execution script.The embodiment of the present application can identify the control intent in the natural language of user, and the execution script of embedded device is matched according to control intent, so as to realize the complex control logic of user by matching the execution script of control intent, the basic function of embedded device is combined and called by script, the expansion of device function is realized, compatible with the existing bottom layer static firmware of embedded device, can improve the execution efficiency and system stability of embedded device control.

The present application relates to a kind of task dynamic allocation method based on multi-core embedded system, belong to embedded technical field, solve the problem of not high resource utilization and system performance caused by the unreasonable existing task allocation.The method includes: S1, the multiple processing cores of embedded system are divided into one main processing core and other slave processing core;Construct partition line system;S2, main processing core receives task frame by frame, collects data resources;Call partition line system to obtain the position of resource partition line and partition task, and distribute each subtask of partition to slave processing core;S3, slave processing core receives corresponding subtask and carries out identification and processing, and feedback target quantity and processing result to main processing core;S4, main processing core receives and splices the processing result of each subtask of partition, and puts the target quantity of each partition received into data resource, and repeats S2-S4 until completing all frame tasks. Efficient dynamic task allocation is realized.

The invention relates to the field of embedded technologies, in particular to a method for realizing erasing and writing balance of a NOR Flash storage medium in an embedded small file system, which comprises the following steps of: constructing an intermediate layer between the file system and a memory driver, scanning NOR Flash and dividing physical blocks when the system is initialized; recording the erasing times of the physical block and the address and state (writable state, effective state, erasing state and damaged state) of the virtual block, and constructing a physical block-virtual block mapping table; in this way, when data are written, the writable block with the minimum erasing frequency is selected, and the mapping relation and the state of the old block are synchronously updated. Moreover, if no available writable block is found, garbage collection can be carried out on the erasure block, and the physical block exceeding the erasure frequency threshold value is marked as a damaged state, so that the service life of the NOR Flash is remarkably prolonged, and the hardware replacement cost is greatly reduced while the storage safety and the operation stability of the embedded system are enhanced.

The utility model belongs to the technical field of smart home, and relates to a lighting device integrated with a camera shooting function, which comprises a lamp strip, a remote voice camera and a control box, the control box is provided with a circuit board, a low-voltage power socket, a remote switch power socket, a remote voltage regulation socket and a power socket, the low-voltage power socket, the remote switch power socket, the remote voltage regulation socket and the power socket are connected to the circuit board through channel wires, the low-voltage power socket is connected with external low-voltage equipment, the remote switch power socket is connected with the remote voice camera, and the remote voltage regulation socket is connected with the lamp strip. The power socket is connected with a household alternating current power line, and the circuit board converts household alternating current into direct current and controls opening and closing of the remote voice camera and the brightness of the lamp strip through electric signals. The device provided by the utility model provides convenient, safe and personalized home experience for users by integrating lighting and security functions and combining the Internet of Things and the embedded technology.

The application relates to the field of vehicle-mounted embedded technology and discloses an engineering machine algorithm expansion method, device, chip and storage medium, the method comprises the following steps: obtaining a calculation task; judging the algorithm resource scale required by the calculation task; calling target algorithm resource of a corresponding scale from an algorithm resource pool according to the algorithm resource scale, the algorithm resource pool is a virtual hardware unit set generated by a main algorithm module and / or an algorithm expansion module through hardware unit virtualization; and executing the calculation task through the target algorithm resource. According to the application, the algorithm resource is uniformly scheduled and managed through the virtualization resource pool, so that the user does not need to care whether the called target algorithm resource comes from the main algorithm module or the algorithm expansion module; different calculation tasks apply corresponding size algorithm resources to the algorithm resource pool according to the required algorithm resource size, and the whole block application of the algorithm expansion module is not needed, so that the algorithm expansion is more flexible.

The invention relates to an embedded operating system dynamic loading method based on a LoongArch processor, and belongs to the field of embedded technologies. By means of C language embedded assembly grammar, the method is easy and convenient to implement, and can be normally used under the condition that functions and resources of an embedded operating system are limited; a mark dichotomy method is used, so that the problem of'anonymous global symbol name duplication 'under a LoongArch architecture processor is solved, and meanwhile, the searching speed of global symbols is ensured; the instruction code based on the LoongArch architecture is analyzed, and dynamic loading on a processor based on the LoongArch architecture can be supported. According to the method, the coupling degree of the embedded system is effectively reduced while the development difficulty is reduced, and modular and standardized development of the embedded system is facilitated.