176 results about "Dual core" patented technology

The invention relates to the technical field of data lines, and particularly discloses a data line system and a data line for intelligently switching data transmission and charging, and the system comprises a dual-core synchronization management module which is used for enabling dual cores to enter an initial detection state through encryption synchronization signaling when equipment is connected; the asynchronous signal processing module is used for generating state judgment parameters through multi-scale sliding window processing and time-frequency domain feature fusion; the consensus decision arbitration module outputs a backtracking trigger signal through dynamic projection transformation and self-adaptive threshold comparison; the state backtracking recovery module is used for generating a retry instruction with a random delay period based on the historical backtracking success rate and the signal quality evaluation; the safety mode control module is used for identifying dominant features by analyzing historical failure records and switching to a safety operation mode; through distributed dual-core cooperative processing and an intelligent fault recovery mechanism, the technical problems of confusion of protocol stacks and deadlock of a state machine in a complex electromagnetic environment are solved, and the anti-interference capability and reliability of the system are improved.

The invention provides an intelligent script generation method based on intelligent IC card making, which comprises the following steps: calling different interfaces in a card making production system through an artificial intelligence body, and sequentially realizing full-process automatic control of parameter configuration, script generation, component program generation, automatic card making and card testing in a modular manner; constructing an intelligent parameter configuration system by adopting a dual-core driving architecture comprising a knowledge graph business rule base and a reinforcement learning optimization model; an incremental learning mechanism is utilized to automatically collect card making results and verification data after each card making period is ended, and a dynamic rule knowledge base is generated; and on the basis of the multi-modal large language model, generating a card making script meeting the current requirement through a field adaptation pre-training and parameter fine tuning technology. Through deep integration of artificial intelligence and a digital twinning technology, the problems of low efficiency, high cost, poor flexibility and the like of a traditional card making mode are effectively solved, and the method has remarkable economic benefits and social values.

The invention relates to a power distribution network fault distance measurement system and a monitoring method thereof, and the system comprises a distributed monitoring terminal network, a master station data processing center and a communication network which cooperate to achieve the collection, processing and positioning analysis of fault signals. According to the invention, through a fault branch identification strategy combining distributed power supply side cooperative monitoring and power flow direction analysis, the problem of fault branch identification of the power distribution network containing the distributed power supply is effectively solved; the relative time synchronization calibration technology is adopted, a high-precision satellite synchronization module is not needed, the satellite signal interference problem is avoided, meanwhile, the hardware deployment cost is reduced, the system adopts the dual-mode communication and standby power supply design, the system adapts to complex operation environments such as cities and underground, and the reliability is high; the monitoring terminal adopts an ARM + FPGA dual-core architecture, gives consideration to real-time performance and data processing capability, can be directly connected with existing power distribution network equipment, and is low in transformation difficulty and flexible in deployment; the parameter self-correction function enables the system to adapt to line parameter change and environmental influence, and the long-term distance measurement precision is stable.

The invention provides a foundation pit supporting structure deformation prediction and early warning method based on multi-source data fusion, and the method comprises the steps: deploying a differentiated sensor network at a key part of a supporting structure, and collecting multi-source time sequence data; performing space-time alignment and layered noise suppression on the multi-source time series data, and constructing a data quality evaluation matrix to screen effective data; time features, spatial features and mechanical features of the effective data are extracted, and a fusion feature data set is constructed; establishing a physical mechanism model and a data driving model, and generating a dual-core prediction model through a weighted fusion mechanism; deformation index rolling prediction is carried out based on a dual-core prediction model, and third-level early warning management is executed according to a prediction result; and performing online performance monitoring on the dual-core prediction model, and starting incremental learning to optimize model parameters when a prediction error is greater than a set threshold value.

The invention discloses an intelligent power distribution network feeder terminal system and a fault processing method thereof. The system comprises a hardware core platform which adopts a modular design, and a dual-core heterogeneous processor respectively runs a non-real-time operating system and a real-time operating system; the software definition function module is used for realizing function APP deployment; the security isolation module is used for ensuring security concurrency of services through a physical isolation chip; the self-adaptive fault identification module is used for identifying faults on line by adopting a self-checking twin neural network; and the traveling wave positioning module selects a wave velocity model according to the fault type to carry out double-end distance measurement. According to the processing method, through high-speed sampling, parallel processing and module cooperation, fault identification is realized, and accurate positioning is realized. According to the invention, the problems of non-uniform FTU platforms, poor service expansibility and low positioning precision are solved, and high-precision fault positioning within + / -50 meters is realized.

The invention relates to the technical field of industrial automatic measurement and control communication, and particularly discloses multi-protocol fusion intelligent measurement and control host equipment, which comprises a data acquisition module, a health assessment module, a thermal simulation module and a cooperative control module. The equipment adopts a dual-core hardware architecture with a bottom plate and a top plate, integrates seven communication interfaces, realizes multi-protocol parallel processing through a hardware accelerator and a FreeRTOS system, the protocol switching time does not exceed 10ms, and the health assessment module adopts an online incremental learning recurrent neural network to calculate the health state index of the super capacitor module in real time, so that the super capacitor module can be used as the health state index of the super capacitor module. The thermal simulation module predicts the thermal runaway risk level based on an embedded finite volume method, and the cooperative control module dynamically adjusts the rotating speed of a fan and the switching frequency of a power supply by adopting a Nash equilibrium optimization algorithm, so that early performance attenuation recognition, thermal runaway risk prediction and intelligent cooperative control of the super-capacitor module in an extreme environment are realized. And the reliability and the safety of the system are obviously improved.

The invention discloses a wind power plant icing disaster sensing and early warning method and system. The method comprises the following steps: acquiring SCADA multi-source data of a satellite, a ground station and a wind power plant; performing data noise reduction and feature extraction; inputting the feature data into a physical mechanism model and a data-driven machine learning model in parallel, and fusing the outputs of the physical mechanism model and the data-driven machine learning model by adopting a dynamic weight distribution strategy to obtain an icing thickness predicted value; and early warning information is generated and prevention and control measures are triggered. The system comprises corresponding function modules. According to the method, through multi-source data fusion and mechanism-data driven dual-core model coupling, high-precision prediction and closed-loop prevention and control of the whole cycle from icing formation, growth to ablation are achieved, and the early warning timeliness and accuracy and the operation safety and economic benefits of the wind power plant are remarkably improved.

1. The name of the design product: water purifier (dual-core parallel system V4). 2. The use of the design product: device for connecting pipes for water purification. 3. The design features of the design product: in shape. 4. The picture or photo that best indicates the design features: perspective view 1.

This invention relates to the field of computer technology, specifically to a method and apparatus for integrating third-party algorithm components based on dual-core collaboration. This application directly integrates third-party algorithm components into the BCM dual-core MCU, eliminating reliance on ZCU and CAN bus communication. This fundamentally eliminates the latency and security overhead caused by cross-ECU transmission and E2E protection, improving signal real-time performance and communication security. By clearly defining the functions and allocating resources of the BCM dual-core, a dedicated storage area is planned for the third-party algorithm components, and a standardized integration environment is built, achieving efficient and stable component integration. Simultaneously, peripheral access strategies are optimized, unnecessary protections and redundant polling are disabled, releasing idle computing power and hardware resources of the BCM and improving utilization. Without increasing the ZCU hardware cost, the chassis braking algorithm is deployed and executed locally, reducing performance losses caused by cross-domain communication and effectively improving the overall system operating efficiency and resource utilization efficiency.

The invention relates to a dual-core heterogeneous CMOS drive circuit of a micro spectrometer in the technical field of spectrum detection and integrated circuit design, which comprises a dual-core heterogeneous main control chip, a drive chip, an AD acquisition chip, a built-in algorithm module and a data interface module, and is characterized in that the dual-core heterogeneous main control chip comprises an ARM core and an FPGA core; the ARM core converts an instruction sent by main control equipment into a standardized control signal, the FPGA core receives the control signal output by the ARM core and generates a driving time sequence signal, and the driving chip drives the CMOS sensor to output a video signal; the AD acquisition chip is driven to carry out data acquisition on video signals, original analog signals in the video signals are converted into digital signals to obtain original data of a spectrum, the ARM core packages the original data and transmits the original data to the built-in algorithm module, and a detection result report is generated. And the ARM core transmits the original data and the detection result report back to the main control equipment through the data interface module.

A voltage-controlled oscillator (VCO) circuit is provided. The VCO includes: a first dual-core VCO including a first oscillator core and a second oscillator core; a second dual-core VCO including a third oscillator core and a fourth oscillator core, wherein the first and second dual-core VCOs are disposed side-by-side; first switches configured to connect or disconnect the first and second dual-core VCOs from each other; and second switches configured to connect or disconnect the first and second oscillator from each other, and to connect or disconnect the third and fourth oscillator cores from each other.

This invention discloses a multifunctional home robot, comprising: a robot body; a central control system disposed on the robot body, the central control system being configured to perform multimodal data fusion and intelligent decision-making; a multimodal sensing unit electrically connected to the central control system for collecting user physiological data, behavioral data, and environmental data; and a life-assistance execution unit connected to the central control system for performing various operational tasks in the home environment according to instructions from the central control system. This multifunctional home robot solves the problem of single-function home service devices by introducing a dual-core architecture of a "life-assistance execution unit" and an "adaptive physiotherapy execution unit." The robot can not only perform household chores such as floor cleaning and tidying up, but also provide professional physiotherapy services. More importantly, the central control system enables the scenario-based linkage between the two.

This invention relates to a dual-core metal carrier with variable-diameter wavebands and its manufacturing method, comprising a variable-diameter waveband and standard wavebands. The variable-diameter waveband includes a low-wave-height segment and a high-wave-height segment. Several layers of standard wavebands are disposed on at least one side of the low-wave-height segment of the variable-diameter waveband. The low-wave-height segment and the standard wavebands, as well as two layers of standard wavebands, are separated by short flat bands. The wave-height value of the high-wave-height segment is equal to the sum of the wave-height value of the low-wave-height segment and the wave-height values ​​of the several standard wavebands disposed on the low-wave-height segment side. One variable-diameter waveband and several layers of standard wavebands constitute a waveband unit. Adjacent waveband units are separated by long flat bands. Several layers of waveband units are rolled to form a metal carrier. The dual-core metal carrier with variable-diameter wavebands and its manufacturing method improve the problem of high back pressure of the carrier, reduce material costs, realize product diversification, and improve the thermal vibration resistance and thermal shock resistance of the metal carrier.

The invention relates to the technical field of electronic information, and discloses a task scheduling method, device and equipment for a pet necklace, a storage medium and a computer program product, the method is applied to the pet necklace with a dual-core processor, and the dual-core processor comprises a first core and a second core; according to the method, a Bluetooth protocol stack and a communication task are allocated to a first core, a timing acquisition task and an inference task are allocated to a second core, and compared with a mode that all tasks share one core in traditional single-core polling scheduling, the running conflict of the tasks on the same core is avoided from the hardware resource allocation level; meanwhile, an event group corresponding to a task is set, and a corresponding event bit in the event group is set through an interrupt service program when peripheral interrupt is triggered, so that task blockage is relieved; and through the technical means of querying the event bit state after setting in the task context and triggering the corresponding task scheduling, the accurate triggering and ordered execution of the task scheduling are realized.

1. The name of the design product: water purifier (dual-core parallel system V1). 2. The use of the design product: device for connecting pipes for water purification. 3. The design features of the design product: in shape. 4. The picture or photo that best indicates the design features: perspective view 1.

The invention relates to a W-band low-noise voltage-controlled oscillator based on a transformer resonant cavity and harmonic extraction. The W-band low-noise voltage-controlled oscillator comprises a dual-core in-phase coupled oscillator core, a two-bit switched capacitor bank, a linear variable capacitor bank and an output buffer, the dual-core in-phase coupled oscillator core comprises a transformer resonant cavity and a harmonic extraction network, a fundamental wave oscillation signal is generated in the transformer resonant cavity and is coupled and output to the output buffer, and a high-power second harmonic oscillation signal is generated in the harmonic extraction network and is output as a target oscillation signal; the two-bit switched capacitor bank adopts an HBT switch with excellent high-frequency performance, the tuning range of the oscillator is divided into four sub-bands, and the tuning gain is reduced; the capacitance value of the linearized variable capacitor bank is linearly changed along with the tuning voltage height, and a conversion mechanism of flicker noise is inhibited; and the output buffer realizes load isolation and buffering of the fundamental wave oscillation signal. The voltage-controlled oscillator has low tuning gain and high output power in the W wave band, and excellent phase noise is achieved.

The invention provides a dual-core hemispherical inertial navigation voltage sensitivity coefficient online identification and self-calibration method, which comprises the following steps: respectively constructing equivalent virtual angular rate excitation under electrostatic driving for each hemispherical resonator gyroscope, and determining a driving voltage for calibration; excitation is applied to the two coaxial hemispherical resonator gyroscopes according to a preset rule, and the output angular velocity and the standing wave azimuth angle are collected; establishing a difference observation model; establishing a Kalman filtering equation based on the difference observation model, wherein the Kalman filtering equation comprises an observation matrix, observed quantity and state quantity; kalman filtering is carried out on angular velocities and standing wave azimuth angles output by the two coaxial hemispherical resonator gyroscopes based on the established Kalman filtering equation, and a voltage sensitivity coefficient and a zero offset coefficient are solved. And writing the calculated voltage sensitivity coefficient and zero offset coefficient into a calibration register of the corresponding hemispherical resonator gyroscope. According to the technical scheme, the technical problem that in the prior art, a single gyroscope is prone to external interference, and consequently calibration precision is poor is solved.

The present application relates to a kind of sonar system compensation circuit and method based on multi-channel switching;Wherein the circuit uses cascade architecture, the core is to use domestic CBMG708 multiplexer to build at least one program-controlled gain stage, by the gain resistance of different resistance in series after each selection end is connected to operational amplifier, multiple signal channels with 6dB gradient basic gain are formed.Combined with FPGA+ARM dual-core control module, according to target action distance, corresponding channel is gated in real time, the fast and accurate gain compensation of sonar signal of different distances such as near, middle and far is realized.The method ensures that the output signal amplitude in the whole distance range is higher than the detection threshold, while having the advantages of small gain error, low power consumption and supply chain controllable, effectively solves the problem of insufficient flexibility and slow response of traditional single-channel compensation circuit.

This invention discloses a multi-level collaborative SAW exhaled breath detection system and method based on a large language model, belonging to the field of SAW detection technology. The system includes a precision RF excitation control layer, an IoT gateway layer, and a cloud-based AI analysis layer. Data interaction between the three layers is achieved through a heterogeneous communication protocol stack. The precision RF excitation control layer includes a microcontroller, a DDS frequency synthesizer, and an SAW resonator; the microcontroller has a built-in pre-verification module. The IoT gateway layer includes a dual-core processor, a wireless communication module, and an I / O interface. 2 The system features an S-channel audio interface and a dual-core processor with a heterogeneous architecture. The cloud-based AI analysis layer includes speech recognition services, large language model inference services, a utility function definition library submodule, and a command string generation submodule. The system has an end-to-end device-level mapping channel from user speech to the DDS frequency synthesizer's frequency tuning word register. This invention lowers the operational threshold for precision SAW inspection and adapts to on-site inspection scenarios.

This invention discloses a gas-liquid dual-core fire extinguishing microcapsule, its preparation method, and its application. The gas-liquid dual-core fire extinguishing microcapsule includes an outer shell and an inner cavity. The inner cavity has a dual-core structure that simultaneously encapsulates a liquid fire extinguishing agent and a gaseous medium. The gaseous medium and the liquid fire extinguishing agent are co-encapsulated within the inner cavity. The gaseous medium stored inside the microcapsule serves as a compressible power source. When the capsule ruptures upon contact with fire, the gaseous medium expands due to heat, performing work to aerodynamically shear and atomize the liquid fire extinguishing agent, releasing it. This invention effectively solves the problems of traditional fire extinguishing microcapsules, such as easy settling and low fire extinguishing efficiency.

A system may include: a plurality of processing cores including at least a first processing core and a second processing core; a shared memory communicatively coupled to each of the plurality of processing cores, and accessible by each of the plurality of processing cores; a global monitor communicatively coupled to each of the plurality of processing cores and configured to control exclusive access to the memory by each of the plurality of processing cores; and a software architecture embodied in a non-transitory computer readable medium and configured to divide a plurality of processing tasks between the first processing core and the second processing core when read and executed by the multi-core processor.

The invention discloses an FF-FB cooperative four-unit active filter based on dual-core multiplexing. The FF-FB cooperative four-unit active filter comprises a noise source part, a load LISN network part and an active filter part, the active filter part comprises a current sampling branch, a first operational amplifier module, a second operational amplifier module, a voltage sampling branch, a plurality of current compensation branches, a first complementary output stage circuit and a second complementary output stage circuit; the two ends of the noise source part are connected with the left side of the active filter part, and the load LISN network part is connected with the right side of the active filter part. Feed-forward current sampling-current compensation is completed by using the multiplexing operational amplifier, and compensation is completed at the source end and the load end of the current transformer through two branches, so that secondary structure multiplexing is realized, and the problem that the operational amplifiers are added in topology is solved.

This invention belongs to the field of power system control technology. It discloses a system and method for the linkage between sub-core load adaptation and main core power replenishment in a dual-core fused power supply. The system includes: calculating the main core's instantaneous power replenishment margin based on the current state of charge of the main core management unit and the real-time available output capacity of the main core converter; sending a low-voltage detection pulse sequence to the sub-cores and simultaneously acquiring the returned damping attenuation waveform and instantaneous leakage current value; determining a dynamic access threshold, comparing the current real-time load power with the dynamic access threshold, and generating a continuous load adaptation tag and a sub-core locking identifier; establishing a sub-core priority power replenishment sequence, and immediately tightening the access conditions of the sub-core priority power replenishment sequence when the instantaneous power replenishment margin is lower than a preset warning value; activating a fast power replenishment channel for sub-cores that meet the preset power replenishment triggering conditions, while simultaneously performing dynamic power backtracking on unlocked sub-cores until the main core's instantaneous power replenishment margin recovers to or above the safety threshold; significantly improving energy efficiency.

The application discloses a dual-mode adaptive transmission method for ARM and FPGA based on GPMC, and comprises the following steps: S1, system initialization; S2, data transmission preparation; S3, threshold calculation and mode selection; S4, data transmission; and S5, frequency feedback and closed-loop control. A dual-mode adaptive transmission system for ARM and FPGA based on GPMC comprises an ARM processor module, an FPGA module, a GPMC interface module and a driver program module. The ARM processor module is integrated with a dual-core Cortex-A53 architecture core, a 133MHz efficient GPMC controller, a uDMA controller and a PRUSS real-time unit, and is internally provided with a data volume intelligent identification unit, a threshold dynamic calculation unit, a mode selection unit and an instruction interaction unit. The FPGA module is integrated with a timing detection unit, a BRAM data storage unit, a double-counter unit and a frequency measurement unit. The application has the advantages of being capable of dynamically and adaptively switching transmission modes according to data volume, low cost, plug-and-play and strong ease of use through the cooperation of the above steps.

The invention discloses a hydraulic structure concrete underwater repair robot based on heterogeneous dual-core cooperative control and an operation method. The system is mainly composed of an ROV carrier, an embedded dry chamber cabin, a vector propeller, a mechanical arm and a Pixhawk + PLC dual-core control system. The equipment adopts a hierarchical control framework: a motion control layer is based on Pixhawk flight control, realizes six-degree-of-freedom motion and attitude overturning, and accurately matches a complex-angle working plane; the operation control layer adopts an industrial PLC to control the dynamic sealing of the dry chamber cabin and the underwater operation surface, and a negative pressure dry environment is quickly established. A plurality of sensors and a manipulator are integrated in the cabin, visual accurate repair is carried out in a water-free state, and negative pressure evacuation is relieved after the repair is completed. The maneuverability of open source flight control and the logic reliability of the PLC are fused, the defects that a single controller is prone to overload and complex attitude alignment is difficult are overcome, and the high efficiency of deep water complex structure repairing and the system stability are guaranteed.

This invention provides a multi-protocol smart IoT gateway device, solving the problems of traditional gateways such as limited functionality and protocol support. It utilizes a MIPS 1004Kc dual-core chip for computing and integrates WiFi 6E, LoRa, and 5G modules to achieve multi-protocol convergence. The software is based on OpenWRT, featuring intelligent adaptive protocol stack dynamic parameter adjustment, encryption and authentication for security, and intelligent channel and power adjustment to optimize communication and energy consumption. It is suitable for smart cities, industrial IoT, and smart homes, providing a stable and reliable communication solution.

The invention belongs to the technical field of film deviation rectification, and particularly relates to a control system and method for film deviation rectification of an automatic chilled food packaging machine and a storage medium, the control system comprises a multi-source sensing unit, and a position sensor, a speed sensor and a tension sensor are integrated in the multi-source sensing unit; a main controller and a coprocessor are integrated in the dual-core control unit; the composite execution unit comprises a deviation corrector, a speed controller and a tension controller; the multi-source sensing unit collects a film condition signal and feeds the film condition signal back to the dual-core control unit, and the dual-core control unit outputs a control signal to the composite execution unit to conduct film instant deviation correction. According to the control system and method for film deviation rectification of the automatic cold fresh food packaging machine, through cooperative linkage of the multi-source sensing unit, the dual-core control unit and the composite execution unit, dynamic and accurate deviation rectification in the film conveying process is achieved, and the technical defects that an existing control system is poor in adaptability, insufficient in control precision and weak in anti-interference capacity are effectively overcome.

This application relates to the fields of artificial intelligence and energy efficiency control, and discloses a building energy efficiency optimization system and method. The method includes: acquiring historical load data, real-time operating status data, and meteorological data at a target time for the HVAC system; inputting the historical load data, real-time operating status data, and meteorological data at the target time into a dual-core optimization model constructed based on Transformer-genetic algorithm and expert rules to obtain the optimal control strategy; the optimal control strategy corresponds to the lowest power consumption; controlling the HVAC system to execute the optimal control strategy, constructing a "dual-core driven" decision-making system, organically combining deterministic control logic based on expert knowledge with deep learning optimization algorithms based on massive data to form complementary advantages, serving as the control center for system operation, and simultaneously improving the energy efficiency optimization effect corresponding to the control strategy, achieving a control strategy output with low energy efficiency, high comfort, and high safety.

The invention discloses a dual-core focusing image sensor based on large and small pixels, and belongs to the field of image sensors. According to the image sensor, a pixel detection unit is divided into a large unit and a small unit, so that light from different directions can be received in the horizontal direction and the vertical direction during focusing, namely defocusing information in the horizontal direction and defocusing information in the vertical direction are included at the same time, and then the phase difference and the defocusing distance in the horizontal direction and the vertical direction are calculated; therefore, focusing processing in the horizontal direction and the vertical direction can be carried out at the same time, and after focusing is completed, signal values of the large-pixel detection unit and the small-pixel detection unit are added during imaging to obtain complete image information. Focusing in the horizontal direction and the vertical direction can be carried out at the same time on the premise that the number of available pixels in a single direction is not lost.

This utility model discloses a dual-core, two-ejection silicone molding die, comprising an upper mold, a lower mold, an outer mold core, an inner mold core, an upper lifting plate, and a lower lifting plate. The upper mold has an upper mold groove, and the lower mold has a lower mold groove. The outer mold core is inserted into the lower mold groove, and the inner mold core is inserted into the outer mold core. The upper mold groove, lower mold groove, outer mold core, and inner mold core form a molding cavity corresponding to the silicone product to be molded. The outer mold core is located on the upper lifting plate, and the inner mold core is located on the lower lifting plate. The upper lifting plate is positioned above the lower lifting plate. This utility model allows for two-stage ejection of the two mold cores, enabling smooth demolding even for complex products. The addition of an elastic element allows for pre-ejection, preventing direct ejection from breaking the product. This utility model improves production efficiency, significantly reduces production costs, and increases product yield.