59 results about "Embedded technology" patented technology

The invention provides a knowledge reasoning method, system and device for a multivariate relation scene and a medium, and belongs to the technical field of knowledge graph construction and multivariate relation reasoning. The method comprises the following steps: identifying entities in a text, and linking the entities to corresponding nodes in a knowledge graph; extracting a relationship between entities from the text, determining a relationship type, and generating multivariate relationship data; modeling the multivariate relation data, mapping the relation between the entities in the knowledge graph to a continuous vector space by using an embedding technology to predict the relation between the unknown entities and the relation between the unknown entities, and updating the knowledge graph; logical reasoning is carried out by utilizing a graph structure, reasoning rules are learned from a knowledge graph, and a specific path is searched to find a new relationship between entities. According to the method, the multivariate relationships among the entities can be quickly and accurately constructed, the types of the relationships can be determined, and the traditional knowledge graph is expanded, so that the complex relationships among the entities can be better represented.

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 discloses a photovoltaic module fault early warning method and system based on string current data mining. On the basis of the Internet of Things and the embedded technology, an ammeter is used for collecting string current data of a photovoltaic module, a string current prediction model is built around a bidirectional long-short-term memory network, and feature extraction is optimized by adopting a convolutional neural network. Then modeling is carried out on three weather conditions of a sunny day, a cloudy day and a rainy day, training is carried out, experimental analysis is carried out according to the model, finally, an alarm threshold mechanism is established according to the calculated deviation rate index in combination with a sliding window method, and timely early warning of the photovoltaic module before fault alarm pushing is achieved. According to the invention, accurate judgment of the fault of the photovoltaic module can be realized only through historical string current data, operation and maintenance personnel can be helped to discover abnormity in time and carry out predictive maintenance work before the alarm information is reported, the operation efficiency of the system is improved to a greater extent, and thus the economic benefit of the system is improved.

The utility model discloses a test tool, and belongs to the field of embedded technology. The device comprises a main control module, a power supply module, a serial port communication module, a buzzer module, a key module and a communication interface module, the main control module is connected with the power supply module, the serial port communication module, the buzzer module, the key module and the communication interface module, and the serial port communication module is connected with the communication interface module; the main control module sends a serial port instruction corresponding to a to-be-tested module, the serial port communication module receives and sends the serial port instruction to the communication interface module, and the to-be-tested module connected with the communication interface module performs corresponding display and corresponding test after receiving the serial port instruction; according to the utility model, the test tool is connected with the tested module, so that the quality of the module can be measured and analyzed, meanwhile, multiple purposes can be realized by one machine, the test cost and time are saved, and the device has the characteristics of small size, convenience in carrying and simplicity in operation.

The invention designs a drowning emergency rescue system which integrates drowning monitoring and rescue and is based on an embedded technology and an internet of things technology. The system is of a fixable integrated structure, images are collected through infrared and thermal imaging binocular cameras, an overall hardware circuit of the system serves as a medium, data processing is conducted on the collected images through an autonomously designed drowning monitoring algorithm, and a target is tracked and locked. And analyzing the overall strength of the thermal imaging signal and the rough posture of the human body to judge whether drowning occurs. When a drowning situation occurs, angle and distance parameters provided by a front-end camera are used for calculation, a friction wheel is used for delivering lifesaving equipment at a fixed point, an air bag is inflated in a delayed mode, meanwhile, the drowning situation is uploaded on a cloud platform, the specific position is sent, and rescue workers are guided to conduct rescue. According to the invention, drowning detection and recognition and an autonomous rescue scheme are systematized, the drowning recognition rate of a complex water area is improved, and meanwhile, the rescue probability of a drowning person is increased. The self-designed drowning recognition algorithm takes embedded equipment as a medium, so that efficient and stable operation is ensured, and the installation cost is greatly reduced.

The invention relates to the field of embedded technology, and provides an AIBox embedded order sending control method and system for intelligent operation and maintenance, and the method comprises the steps: responding to a repair request initiated by a user through a voice gateway; the AIBox receives and preprocesses the digital voice signal, extracts audio features by using a Mel frequency cepstrum coefficient technology, and performs sequence alignment on the extracted audio features through a dynamic time warping algorithm to convert the audio features into a text; key information fields in the text are extracted through the NLP technology, and a repair work order is automatically generated and verified; and the priority is automatically distributed according to the emergency degree, an automatic distribution mechanism is introduced, the repair work order is distributed to the corresponding maintenance personnel, and the repair work order is closed and archived according to the completion feedback of the maintenance personnel. According to the invention, seamless connection between AI voice analysis and an event and repair service process is realized, an AI intelligent voice algorithm module is packaged in AIBox and is connected with a voice data interface of an intelligent operation and maintenance repair call, voice content is automatically identified, and a repair work order is generated and distributed.

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.

The embodiment of the present application provides an electronic device and a request processing method, which can be applied to the field of embedded technology. The electronic device may include: a first memory configured to cache multiple static resources; a processor configured to: in response to a received resource request sent based on a lightweight hypertext transfer protocol, when the resource type indicated by the resource request is a static resource, obtain a first target static resource from multiple static resources cached in the first memory according to the resource path indicated by the resource request, and send a first response message including the first target static resource to the client, wherein the lightweight hypertext transfer protocol is obtained using a simplified hypertext transfer protocol; when the resource type indicated by the resource request is a dynamic resource, execute a dynamic processing process to obtain a dynamic resource, and send a second response message including the dynamic resource to the client, wherein the dynamic processing process is used to generate a dynamic resource based on the resource request.

The invention relates to a device and a method for detecting the viscosity of an isopropanol solution, belongs to the field of information technology detection, solves the problem that the viscosity of the solution cannot be detected in real time when medium-temperature wax is dissolved by isopropanol, can detect the viscosity eta of the solution in real time, and has the characteristics of timely feedback, simple operation, accurate detection and the like. The core parts of the device are a rotor stirring mechanism and a motor, when the motor starts to rotate at a low speed, the motor and the rotor stirring mechanism rotate together under the action of magnetic force and generate a lag phase angle # imgabs 0 #, a Hall sensor is controlled by an embedded technology to measure a magnetic field signal, a phase angle # imgabs 1 # is solved, and meanwhile, a proper solution is taken out; detecting the current viscosity value eta by using a rotational viscometer, and establishing a relation model between the phase angle # imgabs2 and the viscosity eta, wherein the phase angle # imgabs2 corresponds to the rotating speed and the temperature; measuring the phase angle # imgabs3 # of the solution next time, and obtaining the viscosity value eta 1 of the solution according to the phase angle-viscosity relation model.

The embodiment of the invention provides electronic equipment and a request processing method, which can be applied to the field of embedded technologies. The electronic device may include a first memory configured to cache a plurality of static resources; the processor is configured to: in response to a received resource request sent based on a lightweight hypertext transfer protocol, under the condition that a resource type indicated by the resource request is a static resource, according to a resource path indicated by the resource request, obtain a first target static resource from a plurality of static resources cached by the first memory, and send the first target static resource to the second memory; first response information including the first target static resource is sent to the client, and the lightweight hypertext transfer protocol is obtained by utilizing a simplified hypertext transfer protocol; and under the condition that the resource type indicated by the resource request is the dynamic resource, executing a dynamic processing flow to obtain the dynamic resource, and sending second response information including the dynamic resource to the client, the dynamic processing flow being used for generating the dynamic resource based on the resource request.

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 embodiment of the invention discloses an embedded application software upgrading method and device based on an ARM framework, and belongs to the field of embedded technologies. Comprising the steps that a configuration file containing to-be-upgraded application software in the mobile storage device is obtained, the to-be-upgraded application software comprises application software in an embedded system based on the ARM architecture, and the configuration file comprises an encrypted software upgrading file and a step file for updating the to-be-upgraded application software; identifying a configuration file in the mobile storage device based on the software naming information of the to-be-upgraded application software and the file naming information of the configuration file in the mobile storage device; when the software naming information of the to-be-upgraded application software is consistent with the file naming information of the configuration file, the corresponding software upgrading file is executed according to the step file in the configuration file so as to upgrade the to-be-upgraded application software, and the application software upgrading efficiency can be improved.

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 application relates to the field of embedded technology, in particular to a WCET analysis method and device for an embedded multithreaded program. The method comprises the following steps: recognizing synchronization operations in a multithreaded program under the POSIX thread standard, recording lock-related operation statements, generating an extended parallel program control flow graph to describe synchronization dependency relationships among threads, calculating WCST of a program caused by thread application of critical resources based on the principle of mutual exclusion access of critical resource under lock protection, determining a parallel section in which a program section runs on other cores as an interference set according to the control flow graph of the parallel program, and performing conflict analysis on a shared instruction cache through an abstract interpretation method, and inputting the analysis result into a WCET calculation method IPET as a parameter to obtain a WCET analysis result of the entire parallel program.

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 present invention relates to the field of embedded GUI technology, and specifically to a method for implementing a list control, comprising step S001, setting property parameters of the list control on the FlyThings IDE; step S002, calling refreshListView to request a refresh of the list control, triggering a redraw action of the list control and calling back the ZKListView::onDraw redraw interface; step S003, introducing a ZKListView::AbsListAdapter adapter to update data in the list control; and step S004, implementing the getListItemCount interface of AbsListAdapter, wherein the return value of the getListItemCount interface indicates the total number of items in the list.

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.

The present invention relates to the field of embedded technology, and specifically relates to an online parameter modification method, an electronic device, and a storage medium. The online parameter modification method includes obtaining the offset of the structure variable member by reading the data structure in the target file, reading the variable name and the corresponding type, obtaining the memory layout structure of the static variable, obtaining the target address of the parameter to be modified based on the offset and the base address, and the host computer and the embedded terminal perform online reading and modification of the data of any sub-content of the variable based on the communication protocol. The present invention provides an online parameter modification method, which can directly send an instruction to modify data to the embedded terminal program through the host computer, realize the online modification of the program content, can save the time of software recompilation, embedded terminal reloading or burning the program, and initialization under the same circumstances, improve the software development efficiency, and save a large amount of time and labor costs.

The invention relates to a communication method between virtual devices, a front-end device and a rear-end device, and particularly relates to the technical field of embedding. The method comprises the following steps: receiving first inter-core interruption sent by front-end equipment; in response to the first inter-core interrupt, triggering a back-end interrupt service program to read target information from the ring buffer, the target information including a read instruction or to-be-processed data; and executing the corresponding target operation according to the target information. According to the embodiment of the invention, the context switching of the CPU between the VM and the VMM can be avoided, the time delay is reduced, and the real-time performance is ensured.

The invention discloses a distributed FPGA reconstruction management method and system, and relates to the field of computer embedded technology. A connection is established between an external microsystem and an agent FPGA, and configuration data in a memory is remotely read and encrypted, and a RapidIO interface is used for efficient data transmission. Data security and transmission efficiency are ensured, and reconstruction delay is reduced. According to configuration data and external task requirements, the dynamic performance and resource allocation characteristics of each FPGA are analyzed through a dynamic priority scheduling algorithm, the priority reconstruction index is evaluated, the reconstruction order is determined, and resource utilization is optimized. During the FPGA reconstruction process, the operating environment and configuration status data are obtained, and a data fusion algorithm is used for comprehensive analysis to obtain the operating health index of each FPGA, monitor the FPGA health status in real time, and improve system reliability. According to the operating health index, the abnormal state in the reconstruction process is analyzed to help operation and maintenance personnel to promptly discover potential problems in the FPGA reconstruction process, and improve the overall operating efficiency and management level of the FPGA.

The present invention relates to the field of embedded technology. Disclosed are an anti-replacement production method and system for an automobile controller chip, and an anti-replacement detection method and system for an automobile controller chip. The anti-replacement production method comprises: acquiring chip identity feature information; calculating a first hash value, and storing the first hash value; uploading the first hash value; signing the uploaded first hash value, and generating signature information; and storing the signature information. The anti-replacement detection method comprises: creating a detection task; acquiring signature information written during the anti-replacement production method, and performing signature verification to obtain a second hash value; calculating a third hash value and using same as a metric value; and making a comparison. The present invention only requires the consumption of a small amount of FLASH space and a small number of chip computing resources in an automobile controller to achieve real-time detection of anti-replacement of an automobile controller chip without the need for relying on other external devices. By means of the signature and signature verification of a hash value for chip identity feature information, false detection of the replacement of a chip caused by the replacement of an external FLASH of the chip can be prevented, thereby guaranteeing the safety and reliability of a vehicle.

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.

The present invention belongs to the field of computer and embedded technology related to robots, and specifically relates to a task-driven autonomous unmanned equipment prototype system. The task-driven autonomous unmanned equipment prototype system includes: a CPU computing processing unit, an FPGA interface management unit, and a system evolution management unit; the present invention proposes a design scheme for an unmanned equipment prototype system under task drive, which meets the design requirements of various unmanned platform computing and processing systems through a typical hardware architecture of CPU+FPGA, uses task environment information to complete the matching of the optimal architecture template, and uses Multi-Boot technology to complete the reconfiguration of interface resources. For the CPU unit, the performance and power consumption are adapted by calling the operating system kernel service. The unmanned equipment prototype system achieves the optimal adaptation of performance, algorithm and task, and improves the reconfigurability and evolvability of the system.

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 invention discloses an automatic charging and discharging test system based on STM32 design, and relates to the field of automatic charging and discharging test. According to the invention, a modern embedded technology and an Internet of Things technology are fully utilized, an STM32 microcontroller, an INA219 current and voltage detection module, a DS18B20 temperature sensor, a relay and an ESP8266-WIFI communication module are integrated, real-time accurate monitoring and control of parameters such as voltage, current, temperature, electric quantity and the like in the charging and discharging process of the lithium battery are realized, and meanwhile, real-time monitoring and control of the parameters are realized. Intelligent switching of a charging mode and a discharging mode is achieved through a relay, the functions of real-time data display, remote control, data analysis and the like are achieved by means of upper computer software designed through a Qt frame, the system integrates automation, intelligentization and safety, the battery performance testing process is optimized, the testing efficiency is improved, the battery safety is guaranteed, and the system is suitable for popularization and application. Powerful test tools and technical support are provided for battery production and scientific research, and the method has a good application prospect.

The invention belongs to the field of embedded technologies, and discloses an embedded device cache management system, method, device and medium, the system comprises: a user cache configuration module transmits a threshold value of a system file cache to a kernel cache monitoring module; when the kernel cache monitoring module monitors that the system file cache size reaches a threshold value, the kernel statistical module is notified to traverse file nodes below a file system super block, and file cache information is counted in real time and transmitted to the user cache release setting module; the user cache release setting module determines to-be-released file cache information in combination with the service scene and transmits the to-be-released file cache information to the user cache release module; the user cache release module transmits to-be-released file cache information to the kernel release module in a linked list form; and the kernel release module releases a physical page consistent with the file cache address in the to-be-released file information in the memory area based on the release priority. According to the method, the file cache can be accurately released, and the overall read-write performance of the embedded equipment is improved.