251 results about "Hardware structure" patented technology

The invention discloses an integrated Beidou monitoring machine system integrating panoramic photographing and machine vision deformation monitoring, and relates to the technical field of safety monitoring. The system comprises a hardware structure unit and a software function unit, the hardware structure unit comprises a Beidou positioning module, an inertial navigation compensation module, a panoramic vision acquisition module, a machine vision processing module, a multi-mode communication transmission module and a power management module; the software function unit comprises a multi-source data fusion engine, a panoramic three-dimensional modeling sub-module, an intelligent early warning decision module and a cloud collaborative resolving interface. According to the invention, through real-time fusion of Beidou positioning data and panoramic vision imaging, an improved dense optical flow method is adopted to track local crack propagation, and global displacement monitoring of Beidou is combined, so that cross-scale synchronous sensing from macroscopic displacement to microscopic deformation is realized, and the comprehensive monitoring precision is improved.

The invention belongs to the field of desilting robots, and particularly discloses a suction type underground drainage pipeline intelligent desilting robot and a desilting method.The desilting robot is composed of an in-pipe integrated robot and an inspection well box; the in-pipe integrated robot comprises a hardware structure and a software module, the hardware structure comprises a mechanical assembly, a circuit assembly, a sediment breaking assembly, a sediment conveying assembly and a machine body, and the software module comprises a pipeline sediment intelligent diagnosis module. A drainage pipeline siltation diagnosis module based on a deep learning network is arranged in a deep learning development board to achieve siltation diagnosis, and a central instruction receiving and sending module is used for sending desilting operation instructions to a nail surface type electric hammer, a high-pressure water spray head, a siltation crushing cutter, a silt pumping pipe, a silt discharging pipe and a vacuum sewage suction pump. According to the invention, automatic and intelligent operation of siltation diagnosis and desilting of the underground drainage pipe network in a certain maintenance area can be realized, the efficiency is greatly improved, personnel do not need to enter the pipeline, and the danger is greatly reduced.

The invention provides a smart home door and window control system, which is applied to the technical field of doors and windows, and realizes the combination of hardware and software of smart doors and windows through the integration of a door and window hardware structure and a control software structure. A signal acquisition module is arranged to be connected with an internal control end and an external port of the system to obtain user command information, door and window state information and external environment information; various standard data information is fused through the data processing module; and the data decision-making module executes weighted operation to generate control information, so that intelligent control on door and window hardware is realized. Therefore, the intelligent household door and window control system realizes the control function of intelligent electric door and window products and other whole-house intelligent household appliances, and has the advantages of unified communication protocol, realization of multi-source data fusion, improvement of control decision intelligence, enhancement of system security and privacy protection.

The invention relates to the technical field of integrated circuit design and artificial intelligence hardware acceleration, and particularly discloses a quantization precision adaptive switching hardware acceleration architecture. Hardware is divided into a static area and a dynamic area, wherein the static area comprises a pre-processing module, a post-processing module, a control module and a reconfigurable logic loading control block which run all the time; the dynamic region bears a quantization and inverse quantization module composed of a plurality of reconfigurable logic units. The method is characterized in that a model precision instruction is analyzed through a control module, and a reconfigurable logic file with corresponding precision is dynamically loaded to a dynamic area from external starting equipment by a loading control block according to an internal address mapping table, so that seamless switching of different quantization precision is realized on the hardware level, and the whole chip does not need to be burnt again. According to the design, through a modularized and reconfigurable hardware structure, the limitation of fixed-precision hardware in coping with diversified AI models is effectively solved, and the deployment flexibility and energy efficiency are remarkably improved.

The invention provides a multifunctional improved branch record buffering system, which belongs to the technical field of CPU buffering and comprises a BRB hardware structure and a BRB hardware working process. The BRB hardware comprises a branch key information recording link and a multi-pointer collaborative management link; a work flow of BRB hardware comprises the following steps of S1, an allocation stage step, S2, an analysis stage step, S3, a submitting and releasing step and S4, an error processing step, the steps comprise a prediction error triggering link and an assembly line rollback link, and aiming at the problem that rollback and error positioning are difficult in a branch prediction management system in traditional CPU out-of-order execution, the method is simple and convenient to operate, and the efficiency is high. According to the invention, correct update data is uniformly sent to the BPU through the BRB, and when encountering a wrong branch, the BRB can accurately roll back and clear the entries of the younger branch.

The invention discloses an instruction splitting method and device, electronic equipment, a storage medium and a computer program product. The method comprises the steps that a target instruction set and first information are obtained, the target instruction set comprises one or more to-be-split instructions and second information of each to-be-split instruction, and the first information comprises related information of a hardware structure of a target processor; the second information is at least used for indicating first input data and first output data of the to-be-split instruction; aiming at each to-be-split instruction contained in the target instruction set, based on the second information, splitting the to-be-split instruction into a plurality of micro-operations, and enabling second input data and second output data of each micro-operation to meet a first condition which is associated with a hardware structure of the target processor.

The invention provides a light spot detection visualization device and method, and aims to solve the problems of insufficient precision and insufficient interactivity of a traditional fluorescent color developing card in light spot detection. The device is composed of a detection array, a display module and a central controller, the detection array adopts the design of combining a PCB circuit substrate and a colloid quantum dot coating layer, and efficient photoelectric conversion and signal processing are achieved; the central controller analyzes the collected digital signals through an advanced algorithm, so that parameters such as the position and the size of the light spot are accurately calculated, and results are output to the display module to achieve visualization. According to the method, through electrode array partitioning and signal processing flow optimization, the detection efficiency is remarkably improved, and the cost is reduced. The core innovation point of the invention is that a unique hardware structure is combined with an intelligent algorithm, a low-cost and efficient solution is provided for a light spot detection technology, and the technical progress in the field is promoted.

The invention provides a storage and calculation integrated structure and a chip, and belongs to the technical field of integrated circuits, and the storage and calculation integrated structure comprises at least one near storage core grain which is used for providing large-capacity storage; the in-memory computing unit is used for providing computing processing, and the near-memory core grains provide cache space for data and / or instructions processed by the in-memory computing unit; the at least one logic processing core particle is used for loading the data and / or instructions stored in the near memory core particle into the in-memory computing unit, and updating and storing the data and / or instructions processed by the in-memory computing unit into the near memory core particle; and the logic processing core particle is integrated with the near memory core particle and the in-memory computing unit through hybrid bonding and / or TSV (Through Silicon Via). The storage and calculation integrated structure is applied to high-performance calculation, the high-performance calculation requirement and the large-capacity storage requirement can be met at the same time, the high-performance calculation of the system is maximized, and support is provided for the development of the calculation power technology from the hardware structure.

The invention discloses a heat dissipation unit control method and electronic equipment, and relates to the technical field of heat dissipation unit control, and the method comprises the steps: obtaining acoustic signals and vibration signals of a heat dissipation unit in a server in various operation states, and determining a baseline embossing feature and a resonance frequency spectrum of the heat dissipation unit, so as to establish a heat dissipation acoustic archive; acquiring and analyzing a real-time acoustic signal and a real-time vibration signal of the heat dissipation unit to obtain a real-time embossing feature and a real-time frequency spectrum, and judging whether the running state of the heat dissipation unit is abnormal or not; in response to abnormal operation of the heat dissipation unit, judging whether the heat dissipation unit has a resonance risk or not; and in response to existence of the resonance risk, generating a fusion adjustment instruction based on the feature comparison result and the spectrum comparison result. The operation state of the heat dissipation unit can be sensed in real time and pre-controlled, the resonance risk and the abnormal state are avoided, noise is reduced, and the problems that noise control lags behind, depends on hardware structure modification and cannot avoid the resonance risk in advance in the prior art are solved.

The embodiment of the invention discloses a thread synchronization method, device, processing unit and system. Wherein the processing unit comprises a shared memory, a thread beam scheduler and an asynchronous acceleration unit. The shared memory is configured to update an internally stored target synchronization barrier based on the barrier update request, and in response to detecting that the target synchronization barrier satisfies a release condition, send thread wake-up information to the thread beam scheduler. The thread beam scheduler is configured to execute a thread sleep operation based on the arrival state of each target thread and trigger a first update request for the target synchronization barrier, and execute a thread wake-up operation based on the thread wake-up information in response to receiving the thread wake-up information. The asynchronous acceleration unit is configured to trigger a second update request for the target synchronization barrier based on a completion state of each target asynchronous transaction operation. According to the embodiment of the invention, the synchronization between the threads and between the threads and the asynchronous transaction operation can be realized on the premise of not introducing too many hardware structures.

The invention relates to an image registration method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining a first image and a second image obtained through image collection of a target physiological region, the first image data being a three-dimensional image, and the second image being a two-dimensional image; and determining a deformation field describing a mapping relation between the first image and the second image, and performing nonlinear deformation on the first image according to the deformation field to obtain a deformed image. And projecting the deformed image to obtain a two-dimensional third image capable of measuring a registration effect with the second image. According to the embodiment of the invention, through the architecture for image deformation and projection and image registration based on the deep learning automatic learning deformation field, the elastic registration between the images can be simply, quickly and accurately realized. Meanwhile, the image registration mode is realized by depending on a software algorithm without depending on the improvement of a hardware structure, so that the cost is low.

The invention provides a crack pouring glue compression rebound recovery rate test system and method, and relates to the technical field of rebound recovery rate test.The crack pouring glue compression rebound recovery rate test system comprises a tester, a high-precision injection ball and a large sample containing vessel; the tester comprises a machine body, a touch control type control display screen is mounted on an inclined panel of the machine body, a group of function buttons are mounted on the inclined panel of the machine body, the machine body is provided with a stepped circular groove, and the large sample containing vessel is matched with an upper side circular groove of the stepped circular groove; the machine body is connected with a U-shaped frame, and the U-shaped frame is connected with a first laser distance measuring sensor. Aiming at the defects in the prior art, the invention develops the system and the method for testing the compression resilience recovery rate of the crack pouring glue, and the high-precision penetration ball is adopted, so that the contact area with a sample is increased, and the detection error is reduced. By optimizing a hardware structure (replacing a high-precision sensing assembly) and control logic, automation and high precision of a test process are realized.

The invention discloses a method for determining a resource allocation result, electronic equipment and a storage medium, and the method comprises the steps: generating a graphics processor combination resource which is randomly allocated for executing a target task through responding to a target resource request, and generating a default resource list based on the graphics processor combination resource; generating a first topological graph and a second topological graph on the basis of deep-level analysis of the interconnection relation of the server hardware structure, and generating a recommended resource list on the basis of the first topological graph and the second topological graph; and under the condition that the graphics processor recommendation combination resources in the recommendation resource list comprise the graphics processor combination resources in the default resource list, determining that the resource allocation result in the default resource list is the optimal resource combination. Through the method, the technical problem of low accuracy of a resource allocation result in related technologies is solved, and the technical effect of improving the rationality of the resource allocation result is achieved.

The invention discloses a self-adaptive limping control method for a quadruped robot under a leg failure condition. The method comprises the following steps that S1, a system monitors the leg motion state of the robot in real time through sensor data; s2, judging whether the leg motion state is abnormal or not based on a preset key detection index, and if yes, executing the step S3; if not, directly executing the step S4 and the like. According to the method, self-adaptive limp control is achieved through algorithm level optimization in the whole process, a monitoring system can be constructed based on an existing sensor, model parameter adjustment and double-layer optimization control are achieved through software updating, and a hardware structure of the quadruped robot does not need to be transformed. The hardware cost of technology landing is reduced, the method can be adapted to different types of quadruped robots, the compatibility is high, and the method is convenient to popularize in existing quadruped robot application scenes such as emergency rescue and industrial inspection.

The application discloses a method and device for processing bus data, electronic equipment and a storage medium. The method comprises the following steps: obtaining configuration information associated with a plurality of caches, the plurality of caches are respectively included in a plurality of controllers of a controller group; if the receiving switching function of the controller group is turned on, the first controller in the controller group starts to receive transmission data from the bus according to the configuration information, and stores the first part of data in the transmission data into the first cache corresponding to the first controller; the second controller in the controller group continues to receive the transmission data according to the configuration information, and stores the second part of data in the transmission data into the second cache corresponding to the second controller. The application does not change the hardware structure design, expands the cache space by replacing the change of the physical structure with the virtual integration, provides more deep cache space, so that the data in the bus network can be cached in time, and the data accumulation in the bus network is avoided.

The application discloses an edge computing processing system based on a regional comprehensive energy station, and the edge computing processing system comprises a data input module, a data processing module, a storage module, a communication module and a power conversion module; the data input module converts analog flow from the regional comprehensive energy station into data information; the data processing module performs task distribution on the data information in a time sequence pipeline mode; the storage module stores and calls the task distribution; the communication module transmits the task distribution to a server; and the power conversion module is used for supplying power to the edge computing processing system; wherein the neural network operation module comprises an input buffer unit, an intermediate calculation buffer unit, an average pooling unit, a control unit and a convolution operation unit; and the application solves the technical problems of complex hardware structure of an edge computing terminal and slow data processing task in the prior art.

The invention relates to the technical field of integrated circuits and computer hardware structures, and particularly discloses a transmission error positioning method, a control circuit, a main device and a bus system.The method comprises the steps that a transmission request from the main device is received; the transmission request comprises a transmission address and a transaction identifier; in response to the transmission request, converting the transmission address into a corresponding slave device identifier through hardware address decoding logic; storing a transaction identifier of the transmission request and a slave device identifier in an idle entry of a cache structure; receiving a transmission response from the interconnect fabric or the slave device; the transmission response comprises a transaction identifier and a response state; searching an entry matched with the transaction identifier in the transmission response in the cache structure; and when the item matched with the transaction identifier in the transmission response is found and the response state indicates that the response is wrong, latching the slave device identifier in the matched item. According to the scheme, transmission error positioning can be realized in a bus system supporting advanced transmission.

The invention discloses a cordyceps sinensis locating system based on a binocular stereo and deep learning technology, and relates to the technical field of cordyceps sinensis collection, the cordyceps sinensis locating system comprises a hardware structure and a software system, the hardware structure comprises a mountaineering walking stick, a supporting cross beam, a CCD camera, a controller, a battery, a camera support, a controller supporting frame, a battery supporting frame and a tablet personal computer; the software system comprises an image acquisition module, a training learning module, an identification module and an interaction module; the image acquisition module acquires a worm grass image based on a CCD camera and uploads the acquired worm grass image to the training learning module. The identified image is sent to the tablet personal computer in a wireless communication mode, display software is deployed on the tablet personal computer, when cordyceps sinensis is found, the tablet personal computer can give out a prompt tone, meanwhile, the cordyceps sinensis is selected on the image, and compared with a traditional cordyceps sinensis collecting method, the method has the advantages of being high in identification efficiency and accuracy and good in practicability. The labor intensity of cordyceps sinensis collecting personnel can be effectively reduced, and the collecting efficiency is improved.

The embodiment of the application discloses a kind of diagnostic process abnormality monitoring method, device, medium, OBD module and vehicle;Based on abnormality monitoring method, the leakage failure that can occur in fault diagnosis process is included in the main object of monitoring, by the signal monitoring of the object to be monitored, especially the signal monitoring of the evaporation system of fuel vehicle, on the basis of analyzing signal characteristics, with existing hardware structure, the abnormality monitoring of fault diagnosis system is realized;In addition, the related scheme is also applicable to the development of computer storage medium, OBD module and intelligent vehicle, and the upgrading of original system can be conveniently realized by the upgrading of control software.

The utility model relates to the field of silicon dioxide production equipment, in particular to a water glass feeding dust recovery device. The utility model provides a water glass feeding dust recovery device which comprises a liquefying tank for liquefying solid water glass raw materials and a feeding trolley, the feeding trolley receives the solid water glass raw materials from a raw material conveying device and conveys the received raw materials to the liquefying tank, and the feeding trolley is provided with a spraying mechanism. The spraying and wetting device is used for spraying and wetting the solid water glass raw materials in the process of receiving the solid water glass raw materials by the feeding trolley. The technical problem to be solved by the utility model is to provide a hardware structure of the water glass feeding dust recovery device for a software engineer, so that the software engineer can program a controller in the hardware structure so as to enable the recovery device not to easily raise dust in the process that solid water glass raw materials fall into a feeding trolley.

The present application is applicable to the technical field of integrated circuits and neural networks. Provided are a matrix multiplication apparatus and method based on a systolic array, and an electronic device. The matrix multiplication apparatus based on a systolic array comprises: a systolic array formed by means of arranging processing elements, wherein two adjacent processing elements in each column are connected by a shift, each processing element has transmission channels in a row direction, a column direction and a diagonal direction, the row direction is used for inputting a row vector of a first matrix, and the column direction and the diagonal direction are used for inputting a column vector of a second matrix; a plurality of first control signal channels, which are used for inputting a first control signal for controlling the operating state of each shift; and a plurality of second control signal channels, which are used for inputting a second control signal for controlling each column vector of the second matrix to be input in the column direction or the diagonal direction. Therefore, a hardware structure taking into consideration a sparse matrix multiplication operation and a dense matrix multiplication operation is achieved, and the calculation complexity of matrix multiplication is reduced.

The invention discloses an acoustic detection method based on acoustic difference, an acoustic difference device and an acoustic detection system. The method comprises the following steps: providing at least one acoustic differential pair; the acoustic differential pair comprises a first piezoelectric sensing unit and a second piezoelectric sensing unit which are opposite in polarization direction. Detecting an acoustic signal by using the acoustic differential pair to obtain an acoustic differential signal; wherein the acoustic differential signal comprises two paths of electric signals; the two paths of electric signals are obtained by carrying out acoustic-electric conversion on acoustic signals by the first piezoelectric sensing unit and the second piezoelectric sensing unit; and transmitting the acoustic differential signal to a differential processing module for differential operation so as to suppress the external noise coupled to the transmission path and obtain a detection signal after noise suppression. According to the method, external noise can be suppressed from a signal source without depending on a complex hardware structure or a software algorithm, and the signal-to-noise ratio, the measurement precision and the robustness of the piezoelectric sensing system in complex environments such as strong electromagnetic interference and mechanical vibration are remarkably improved.

The present invention discloses a multi-rotor airspeed solution method, device and computer-readable storage medium, wherein the method comprises: establishing an airspeed solution mathematical model; defining a function f(V) according to the airspeed solution mathematical model in each solution cycle, and combining the real-time measured θ inclination angle and a x Acceleration, using the Newton iterative algorithm to solve the root of the equation f(V) = 0 in real time, as the real-time airspeed V. The present invention implements an airspeed calculation solution based on dynamic principles, fully utilizing dynamic principles and combining the unique control method of multi-rotor. Without adding hardware sensors, known attitude measurements and acceleration measurements are used as algorithm inputs, and the software algorithm calculates airspeed data with the required accuracy. This simplifies the hardware structure, reduces the risk of electrical failure, and saves manufacturing, debugging, and maintenance costs.

The invention discloses a tidal current direction judgment method and system, an electric energy meter, a fusion terminal and a medium, relates to the technical field of electric power metering, and effectively solves the problem of electric energy mismetering caused by the fact that a traditional metering method cannot distinguish transient fluctuation and stable steering when the tidal current direction is frequently switched by introducing a buffer mechanism and stability monitoring. According to the method, transient tidal current direction change caused by instantaneous disturbance or jitter near a critical point in a power grid can be filtered out, and it is ensured that only the tidal current direction subjected to stable judgment is used for electric energy metering, so that the accuracy and reliability of electric energy metering in a distributed power supply access scene are remarkably improved; the method is mainly a software algorithm innovation, the hardware structure of the existing electric energy meter or fusion terminal does not need to be changed, the method can be realized through firmware upgrading, the implementation cost is low, and the compatibility is high.

This invention belongs to the field of computer technology and relates to an angle calculation system based on CORDIC instructions. The system includes an IFU (Instruction Fetch Unit) and an EXU (Execution Unit). During the instruction fetch phase, the IFU reads CORDIC instructions from the instruction memory according to the address of the PC. The EXU includes a decoding module, an arithmetic logic unit, a load-memory unit, and a write-back unit. This invention extends the CORDIC angle calculation instruction set based on the RISC-V architecture and designs a complete pipelined hardware structure, supporting trigonometric function operations. It has a complete CORDIC operation path hardware circuit structure, reusing the same operation path for different operation processes, improving hardware resource utilization. It overcomes the limitation of convergence of the calculation result range when performing angle calculation based on the CORDIC algorithm by pre-storing special angle results to reduce calculation time and optimize the circuit operating frequency.

This utility model relates to a timer switch with categorized timing functionality, aiming to solve the technical shortcomings of existing single timer switches, which suffer from cumbersome user operations and inability to quickly switch between different timing schemes due to rigid timing configuration management when adapting to different loads or application scenarios. This utility model's timer switch features innovative improvements in hardware structure. Through the coordinated operation of its internal data management mechanism and user command response mechanism, it achieves categorized storage and one-click overall switching of multiple independent timing schemes. Users only need a simple selection operation to quickly switch the timer switch between different preset working modes, greatly improving its adaptability to multiple loads and application scenarios, enhancing user experience, and avoiding the hassle of repeatedly modifying specific timing parameters.

The present application relates to a dual-thermostat port expansion method and apparatus, a device, and a computer-readable medium. The method comprises: on the basis of a user requirement, configuring port functions corresponding to signal output ports of a main thermostat and a secondary thermostat; determining whether a data flag bit of a port function exists in a communication protocol between the main thermostat and the secondary thermostat; if the data flag bit of the port function exists in the communication protocol between the main thermostat and the secondary thermostat, transmitting the data flag bit to the secondary thermostat by means of the main thermostat on the basis of the communication protocol; executing logic of the port function by means of the secondary thermostat, to determine opening and closing of the signal output port corresponding to the port function; if the data flag bit of the port function does not exist in the communication protocol between the main thermostat and the secondary thermostat, executing the logic of the port function by means of the main thermostat, to determine opening and closing of the signal output port corresponding to the port function; and if the port function is configured on the secondary thermostat, synchronizing a signal state of the port function with the secondary thermostat. The present application solves the technical problem of the expansion of functional ports of two thermostats only being able to be implemented by means of changing a hardware structure, resulting in increased expansion costs and inconvenience.

The invention provides an electronic tag auxiliary sorting method and system based on a decentralized search algorithm, and the method comprises the steps: constructing a double-segment two-layer coding representation scheduling scheme, and randomly generating an initial population based on a preset constraint condition; calculating the maximum completion time of each individual in the initial population in combination with simulation based on a hardware structure of the sorting system, and taking the reciprocal of the maximum completion time as a fitness value; sorting according to fitness values, and screening out high-quality and diversified individuals to form a reference set; combining a high-quality solution and a diversity solution in the reference set as a parent to perform interlace operation to generate a filial generation individual, and updating a population and reconstructing the reference set according to the filial generation individual; and after multiple rounds of iteration, taking the individual with the highest fitness value as a global optimal solution, and decoding the global optimal solution into a control instruction to execute sorting. Through the global collaborative optimization framework, the problems of turnover box sorting and sorting order distribution separation are solved, sorting order dynamic balanced distribution is achieved, uneven load of a sorting table is avoided, and the dynamic adaptability and overall efficiency of the system are remarkably improved.

The invention provides a consumable rewarming device and system, and the device comprises a rewarming heating module which is used for carrying out the constant-power heating of a built-in electric heating element of a consumable; the temperature acquisition module is used for acquiring the temperature of the consumable target area where the electric heating element is located in real time in the constant-power heating process; and the data processing module is used for dynamically adjusting the output power of the rewarming heating module by adopting a proportional integral differential control algorithm based on the temperature of the consumable target area so as to maintain the temperature of the consumable target area at a preset target temperature. According to the method, the control accuracy of the consumable temperature is improved by adopting the proportional integral differential control algorithm. In addition, constant-temperature control over the consumables is achieved by dynamically adjusting the output power of the rewarming heating module; the hardware structure is optimized through multiplexing of the load detection module and the rewarming heating module; by adopting the high-precision temperature acquisition chip, high-real-time monitoring of the temperature of the consumable is realized.

The invention discloses a deep space probe task simulation teaching aid and a data visualization system thereof, the deep space probe task simulation teaching aid composed of a hardware structure, a software structure and a teaching function structure is arranged, educational performance, interactivity and interestingness can be fused, and a learner is helped to understand a deep space exploration principle and a task process; the data visualization system is composed of a data acquisition module, a data cleaning and preprocessing module, a data storage module, a data processing and analysis module, a visualization design module, a visualization generation module, a learner interaction module, a front-end interface module and a rear-end service module. The data visualization system can help the learner to understand and analyze the data more intuitively, discover modes, trends and relationships in the data, and make a more intelligent decision.