281 results about "Dual core" patented technology

The invention discloses a double-closed-loop cooperative control method of a direct-drive electric chassis and a power system, relates to the technical field of power control of electric special vehicles, and provides a rotating speed and torque double-closed-loop cooperative control architecture, and realizes double-core real-time cooperative operation and dynamic optimization of motor output characteristics through a 32-bit processor. A direct-drive transmission structure is combined, a traditional speed reduction device is omitted, a flat wire motor directly drives a rear axle through a transmission shaft, and a four-in-one controller is matched, so that the system loss is reduced by 33%, and the power density is improved by 15%; on the basis of real-time temperature / electric quantity data of a lithium iron phosphate battery management system, control parameters are adaptively adjusted, and the bottleneck of performance attenuation in a low-temperature environment of-35 DEG C is broken through; and a high-voltage interlocking and insulation monitoring module is integrated, and an emergency hydraulic system is automatically switched when an electrical fault occurs, so that multi-stage safety guarantee is formed. According to the technology, the energy recovery efficiency is remarkably improved by 20%, and the wind resistance stability and the extreme environment reliability are effectively enhanced.

The invention relates to the technical field of quantum sensing and ocean detection, and discloses an ocean magnetic field sensor based on an NV color center and an ocean magnetic field measuring method.The sensor comprises a cylindrical pressure-resistant cabin, an optical platform arranged in the pressure-resistant cabin and a main control panel; a laser, a beam shaping unit, a dichroscope, a beam shaping lens group, an objective lens, a diamond NV color center chip, a plano-convex lens I, a band-pass filter and a photoelectric detector are mounted on the optical platform; two microstrip loop antennas are mounted on the outer side of the diamond NV color center chip; an FPGA + ARM dual-core processor, a digital lock-in amplifier and two microwave signal generators are installed on the main control board, and the microwave signal generators are connected with the microstrip loop antenna and achieve electromagnetic coupling with the diamond NV color center chip. The invention has the advantages of high sensitivity, good long-term stability and strong anti-interference capability, and provides a new generation of quantum sensing solution for applications such as ocean geomagnetic monitoring and underwater target identification.

The invention discloses a multi-mode underwater acoustic communication system and communication method based on a heterogeneous dual-core architecture, and belongs to the technical field of underwater acoustic communication. The multi-mode underwater acoustic communication system comprises a main control module, an acquisition module and a transmitting module; the main control module adopts a dual-core heterogeneous processor OMAPL138 formed by an ARM core processor and a DSP core processor; inter-core communication is carried out between the ARM core processor and the DSP core processor through a shared memory and interruption; the ARM core processor is responsible for protocol analysis, task scheduling and man-machine interaction, and the DSP core processor focuses on signal processing and real-time control and integrates four communication systems, a channel evaluation module and the like. The problems that application of a single communication mode is limited and underwater acoustic communication links in different complex sea areas are unstable are effectively solved, and the deep sea area underwater vehicle information collaboration and return and deep sea area observation and monitoring network system capacity are effectively improved and guaranteed.

The invention discloses a complex metal product internal defect analysis method and system based on radiographic inspection, a spiral track scanning path is generated through a workpiece three-dimensional model, a six-axis cooperative mechanical arm is utilized to drive a miniature X-ray source to move along the path, and + / -5 [mu] m positioning compensation is realized in combination with a piezoelectric ceramic driving mechanism. And the detector array module is matched to carry out multi-mode ray scanning and real-time data acquisition. Collected data are transmitted to a real-time data processing module through an LVDS differential interface, an FDK algorithm is executed by a JetsonTX2 embedded GPU to complete tomographic image reconstruction, a 3D-ResNet neural network model is loaded through a TensorRT inference engine to achieve intelligent defect recognition, and finally a detection report is generated and uploaded to an MES system. The system comprises a ray generation module, a multi-degree-of-freedom mechanical arm bearing module and the like, a high-voltage generator circuit comprises a ZVS resonance circuit, and a motion control module adopts an FPGA + ARM dual-core architecture.

The invention relates to a logistics robot system capable of sorting steel body material defects, which builds a sorting-logistics-endurance integrated whole-course autonomous system architecture, and integrates a heterogeneous dual-core processor architecture with deep hardware. The two key technologies of a YOLOv11-SG lightweight defect detection model and a lightweight LCC-LCC topology wireless charging system are organically combined, a state machine driven full-process cooperative control logic is matched, a complete autonomous sorting logistics solution is formed, the lightweight defect detection model guarantees independent perception of a terminal, the endurance problem is solved through the wireless charging technology, and the system is simple in structure and convenient to operate. And by combining the multi-module collaborative hardware and process design, the robot can autonomously operate in narrow and small scenes such as a 400mm narrow channel, the dependence on cloud computing and manual intervention is thoroughly eliminated, and a low-cost intelligent upgrading path is provided for medium and small-scale logistics scenes.

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 discloses a national cryptographic algorithm acceleration system supporting SM4-ZUC dual-core dynamic collaboration, and belongs to the technical field of information security and hardware acceleration. The system comprises an AXI read-write module, a configuration register module, an SM4 algorithm module and a ZUC algorithm module. The configuration register receives and distributes information such as a secret key, an initial vector and a mode through an APB interface; the AXI read-write module supports burst transmission and dynamic scheduling data read-write; the SM4 algorithm module supports three modes of GCM, CTR and ECB; and the ZUC algorithm module is compatible with ZUC-128 / 256. And the corresponding ZUC-128 / 256 and SM4 algorithms can be dynamically selected for operation by judging an encryption mode in the ZUC and SM4 algorithms. The system adopts a three-level assembly line architecture, space-time multiplexing of read-write data and encryption is realized, and throughput rate is improved.

The invention provides an automatic driving control system and a vehicle, and belongs to the technical field of automatic driving. The automatic driving control system comprises a first control chip and a second control chip; wherein the first control chip comprises a dual-core lock step safety island; the second control chip comprises an MCU safety island; and the dual-core lockstep safety island is in communication connection with the MCU safety island. The first control chip and the second control chip are arranged, the dual-core lock step safety island and the MCU safety island are introduced, comprehensive monitoring and fault detection of all modules of the intelligent driving system are achieved, and the single-point fault risk is effectively reduced. And the safety and reliability of the intelligent driving system are improved, so that the functions of graded fault detection, diagnosis and safety degradation can be realized.

The invention provides a heterogeneous flight control computer and a redundancy flight control computer system, the flight control computer comprises a normal mode lockstep calculation unit used for receiving external data and calculating to generate output data, and the output data is a control instruction used for controlling an aviation aircraft. The normal mode lockstep calculation unit selectively adopts one of the following two structures: the first structure comprises two heterogeneous control processors, the two heterogeneous control processors simultaneously calculate the external data to generate two groups of output data, and the two groups of output data are compared to realize lockstep; the second structure comprises a dual-core lockstep processor, two cores are used for calculating the external data at the same time to generate two sets of output data, and lockstep is achieved after the two sets of output data are compared. The invention provides the flight control computer with higher safety.

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 the technical field of photovoltaic power generation system control, and provides an MPPT control method and system based on an adaptive fuzzy neural network, and the method comprises the steps: synchronously collecting voltage, current, illumination and temperature signals, and generating original sensing data; transmitting the generated original sensing data to a memory mapping area through a hardware channel; sensing data is obtained from the memory mapping area, calculation is executed, a power variation and an illumination variation are predicted, a fuzzy reasoning algorithm is operated based on the power variation and the illumination variation, and a power point decision scheme is obtained; a fuzzy rule is updated based on the predicted power variation and illumination variation, the updated fuzzy rule is fed back to the dual-core heterogeneous processor in real time, and fuzzy reasoning logic is optimized; and driving the four-phase interlaced power topological structure to work in an interlaced manner according to the power point decision scheme so as to realize maximum power point tracking. According to the invention, rapid tracking and high-precision stable control of the maximum power point of the photovoltaic array in a complex environment can be realized.

The invention relates to a hybrid optimization method for dynamic response of a valve element of a CDC electromagnetic valve, and belongs to the technical field of automobile suspensions. The method comprises the following steps: (1) establishing a three-dimensional equivalent model of the CDC electromagnetic valve; (2) building a CDC electromagnetic valve system throttling principle model, determining an oil path, building the valve system throttling principle model by using fluid mechanics, and determining a pressure flow relation of each valve system; (3) building a stress model of the pilot valve and the main valve core; (4) selecting target optimization structure parameters; (5) constructing hypercube mapping and generating an initial population; (6) carrying out dual-core coevolution to carry out main circulation; (7) judging whether a termination condition is met or not; and (8) outputting a result. According to the method, through a dual-core collaborative architecture and an adaptive search mechanism, the inherent defect that the exploration breadth and the development depth are difficult to consider in a traditional method is effectively overcome, and the optimal solution is quickly and accurately searched in a global range.

The invention discloses an electric energy quality adjusting device and method, and relates to the technical field of power electronics and electric energy quality control, and the method comprises the following steps: connecting a three-level topological inverter of a series structure with a transformer, adjusting the amplitude and phase of an output voltage in real time, and achieving the voltage compensation and power flow adjustment between AC ports in a power supply system; and starting the three-level topological inverter with the parallel structure, detecting the load side current, and separating and extracting the reactive current component, the harmonic current component and the three-phase unbalanced current. According to the invention, through cooperative control of a series-parallel topological structure, integrated adjustment of multi-dimensional electric energy quality parameters such as voltage, reactive power, harmonic waves and imbalance is realized; an ARM + FPGA dual-core control architecture and an electronic bypass mechanism are adopted, so that the response speed and the operation stability of the system are remarkably improved; in combination with P + repetitive control and PI control strategies, the harmonic compensation precision and the bus voltage control capability are improved, and the method has good adaptivity and real-time performance.

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 management and control method and system for an intelligent water affair digital platform, and relates to the technical field of intelligent water affairs, intelligent management and optimization of water affair facilities are realized through a dual-core driving architecture, the system comprises an Aqua CFD hydrodynamic simulation engine and a PROMIS water affair data management engine, in combination with CFD simulation calculation, biochemical reaction kinetics, artificial intelligence, Internet of Things, big data and other frontier technologies, a digital twin closed loop of perception-analysis-prediction-decision is realized. According to the method, the problems of fragmentation of water affair industry data management, simulation technology bottleneck and the like are solved, the operation efficiency and optimization level of water affair facilities are improved, the operation cost is reduced, and powerful support is provided for digital transformation and intelligent upgrading of the water affair industry.

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 the field of artificial intelligence and energy efficiency control, and discloses a building energy efficiency optimization system and method, and the method comprises the steps: obtaining historical load data, real-time operation state data and target time meteorological data of a heating and ventilation system; inputting the historical load data, the real-time operation state data and the meteorological data of the target time into a dual-core optimization model constructed based on a Transformer-genetic algorithm and an expert rule to obtain an optimal control strategy; the power consumption corresponding to the optimal control strategy is lowest; a heating and ventilation system is controlled to execute an optimal control strategy, a dual-core-driven decision system is constructed, deterministic control logic based on expert knowledge is organically combined with a deep learning optimization algorithm based on mass data, a control center with complementary advantages and system operation is formed, meanwhile, the energy efficiency optimization effect corresponding to the control strategy is improved, and the system performance is improved. And low-energy-efficiency, high-comfort and high-safety control strategy output is realized.

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.

Provided is a gateway device provided between a control device that controls at least one first user terminal that performs single-core bidirectional transmission and at least one second user terminal that performs two-core transmission. The gateway device comprises: a plurality of main signal control signal multiplexing / demultiplexing units that demultiplex an input optical signal into at least main signal light and control signal light; and a plurality of control signal transceivers that transmit and receive control signal light between the at least one user terminal and the at least one second user terminal via at least one of the plurality of main signal control signal multiplexing / demultiplexing units. Each of the plurality of control signal transceivers includes an output unit that outputs uplink control signal light transmitted from the at least one first user terminal or the at least one second user terminal to an optical reception unit.　

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: humidifier (HD-305 double core flame). 2. The use of the design product: electrical appliances for increasing humidity or freshness in space. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The invention discloses a 6U dual-core radio frequency signal processing method and system based on a heterogeneous computing architecture, and relates to the technical field of radio frequency signal processing. The method comprises the following steps: the embedded processing unit analyzes an external task instruction and distributes the external task instruction to the radio frequency direct sampling unit; the radio frequency direct sampling unit collects a radio frequency signal and generates a noisy baseband data stream. The auxiliary sampling ADC synchronously collects broadband switch noise, and generates an interference signal through a time sequence AI model; the hardware acceleration unit cancels the baseband data stream based on the interference signal to generate a clean data stream; and executing hardware acceleration processing on the clean data stream and writing the clean data stream into a shared memory unit. The technical problem that broadband synchronous switching noise generated by a digital circuit interferes with a radio frequency receiving link, and consequently the quality of a baseband data stream is reduced is solved, and the technical effect that the precision, reliability and real-time performance of radio frequency signal processing are improved through real-time noise cancellation and hardware acceleration processing is achieved.