418 results about "Dual core" patented technology

The invention relates to a high-efficiency image recognition system based on embedded edge equipment, which belongs to the technical field of computer application and comprises a hardware acceleration module, an image recognition module and an image recognition module, reasoning tasks are distributed to different cores and a model quantification module through dual-core cooperation, quantification converts high-precision floating-point number representation into low-precision integers through weight and activation in a deep learning model, an automatic deployment module automatically converts the trained deep learning model into a format suitable for an embedded hardware platform, and the embedded hardware platform is used for realizing real-time reasoning. The data processing module is used for preprocessing and enhancing input data and ensuring that the data meet the input requirements of the deep learning model, and the reasoning engine module is responsible for loading and operating the optimized deep learning model on embedded equipment. And the efficient and reliable image recognition function is realized while the calculation, storage and energy consumption limitation of the embedded equipment is met.

The invention relates to the technical field of ultra-low power consumption microcontrollers, and discloses an ultra-low power consumption microcontroller architecture design method and system, and the method comprises the steps: constructing a heterogeneous dual-core processor comprising a high-performance core and a low-power consumption core, and dividing the heterogeneous dual-core processor into a plurality of independent power domains; constructing a sub-threshold voltage operation system on a plurality of independent power supply domains, and configuring a multi-layer storage structure in the heterogeneous dual-core processor; recording task characteristic data by using a multi-level storage structure, executing task dynamic allocation between dual cores, and creating a dynamic task allocation mechanism; and performing static analysis and function block division on the application code based on a dynamic task allocation mechanism to obtain a plurality of function code blocks, and performing storage hierarchy and processor core allocation on the plurality of function code blocks to obtain a function code allocation result. According to the method, the dynamic migration of the workload and the optimal resource allocation are realized, and the energy consumption of the microcontroller in various working scenes is reduced.

The invention provides a GNSS (Global Navigation Satellite System) anti-interference receiver system based on radio frequency front end-INS (Inertial Navigation System) combined assistance, which adopts a dual-core ARM Cortex-A9 and a programmable logic unit for layered decoupling, and realizes real-time receiving and processing of a high-bandwidth data stream, closed-loop control of an interference suppression link and quick response of a navigation path and a strategy decision. All the modules efficiently cooperate through AXI-Lite register mapping, interrupt signals, a shared state buffer area and a timer synchronization mechanism. By controlling bus and state buffer mapping to keep consistency and supporting a module-level independent debugging and system-level soft reset mechanism under hot start, the expandability of subsystem cascade debugging, fault module positioning and online updating is realized. In the aspects of module architecture, data channels and cooperation mechanisms, the structure order, efficient communication and control closed loop are realized, and an embedded multi-module cooperation anti-interference platform which is suitable for a high-interference environment, multi-channel fusion processing and navigation task real-time response is constructed.

The invention relates to the technical field of communication data processing, and discloses an AI intelligent communication data processing method based on edge computing, which comprises the following steps: dividing a communication region into three regions, deploying an edge computing node in each region, actually collecting signal data, environmental data and historical signal data of the region by the edge computing node, and transmitting the signal data, the environmental data and the historical signal data to a server; analyzing the preprocessed signal data to generate a regional fluctuation index, extracting multi-dimensional features such as behavior entropy and physical offset from the signal data, generating the regional fluctuation index in combination with a dual-core dynamic baseline and environment data, and performing two-dimensional analysis, radio frequency authentication and other processes to obtain the regional fluctuation index. The method can accurately identify the disguised Wi-Fi signal similar to the normal signal, dynamically judges based on the cooperative verification coefficient, blocks and defends according to the regional security level, effectively prevents the disguised signal from permeating, prevents data from being stolen, and guarantees the security and processing efficiency of campus communication data.

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 an ultra-thin induction cooker cooperative control system and method based on a dual-core MCU, and relates to the technical field of cooperative control, the ultra-thin induction cooker cooperative control system comprises a display MCU, a master control MCU and a communication link module, the main control MCU comprises an instruction analysis module, a PWM control module, a parameter acquisition module and a state coding module, and the PWM control module determines a control mode according to an instruction code and generates a pulse signal for controlling the heating coil; the state coding module codes the working state parameters of the electromagnetic field into a second data packet; and the abnormity detection module reads and analyzes the state code in the second data packet sent by the main control MCU, obtains the working state parameter of the electromagnetic field, and judges the abnormal state. According to the invention, a dual-core architecture of the display MCU and the master control MCU is adopted, and the modular design of the system is realized through function decoupling, so that the expandability and flexibility of the control system are remarkably improved.

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 present invention provides a microprocessor fault recovery device and method, and a chip, including a microprocessor CPU with a dual-core lock-step structure, a field backup module, and a safety management module; when running to a preset recovery point in the program code, the field backup module records the location of the recovery point and the values ​​of important parameters in the current field environment; when receiving a CPU fault indication, the safety management module notifies the CPU to suspend operation and notifies the field backup module to restore the field; the field backup module overwrites the corresponding current data with the backup data; after receiving a successful response to field recovery, the safety management module adjusts the program counter to the location of the recovery point and restarts the CPU. The present invention can quickly bring the system back to a safe operating state when a CPU error occurs, thereby improving the robustness of automotive-grade functional safety.

The invention discloses a time synchronization device and method based on Beidou satellite time service signal security isolation. The device comprises a Beidou signal receiving module, a dual-core processor, a high-precision clock module and a time slice coordination module. Wherein the dual-core processor comprises a security isolation core and a time synchronization core; an isolation bridge is arranged between the security isolation core and the time synchronization core; the Beidou signal receiving module is connected with the security isolation core through a special data interface; and the high-precision clock module is connected with the time synchronization core through a special clock bus. According to the physical isolation design of the heterogeneous dual-core processor, strict separation of time service signal processing and time synchronization functions on a hardware level is realized, and a potential attack path is effectively blocked, so that the security, integrity and anti-interference capability of time service information are guaranteed on a system architecture level, and the time service performance is improved. The method can be widely applied to the computer technical field.

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 discloses a method, a system and a device for realizing high-repetition-frequency wide-width imaging, and relates to the technical field of high-repetition-frequency wide-width imaging, and the method comprises the steps: carrying out the pulse compression of large-size imaging echo data; setting the number of accumulation frame periods and the number of imaging areas; a first cache, a second cache, a first processing core and a second processing core are arranged, high repetition frequency imaging accumulation is conducted on pulse pressure data of multiple accumulation frame periods through the first cache, the second cache, the first processing core and the second processing core, and high repetition frequency imaging accumulation results corresponding to multiple imaging areas are spliced. Based on this, the dual-core model separates the control flow and the imaging accumulation process, and the two cores perform parallel processing, so that the processing speed can be improved; an imaging accumulation process is divided into pulse pressure cache and imaging hardcore accumulation by a double-cache technology, and the repetition frequency is improved by optimizing time efficiency through a memory; and the imaging data is divided into a plurality of areas for respective imaging, so that the problem of imaging sheet limitation can be solved.

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 an automatic frequency stabilization system based on dual-core correlation matching intelligent peak searching. The automatic frequency stabilization system comprises the following steps that S1, a saturated absorption spectrum light path and a circuit are built, debugged and optimized; s2, constructing a double-matching template; s3, triangular wave voltage scanning and clock timing are started, and signals are collected and transmitted; s4, starting a KCF algorithm, applying a template to track model matching, judging a result obtained by matching, finding a peak point and solving a corresponding scanning voltage; and S5, recording a peak point scanning voltage, closing a scanning signal, starting sinusoidal signal modulation, and giving a triangular wave scanning voltage corresponding to a peak value to the sinusoidal signal as an offset. The spectrum line peak value suspected area can be effectively positioned, the double-branch and correlation filtering tracking method can perform precise secondary searching in the suspected area, the locking precision is greatly improved, the long-term stability of 10-12 orders of magnitude is ensured, and meanwhile the good vibration interference resistance can be achieved when a vibration signal occurs.

The invention relates to a charge state calculation method based on industrial and commercial energy storage, an energy storage system and equipment, and the method does not need a high-precision voltage and current collection module, is integrated with an energy storage converter, does not need to increase extra cost, and carries out the error adjustment of the SOC of a battery through the full-power judgment of the energy storage equipment every day. On the basis, the SOC of the non-full-charge state can be estimated by calculating the relative discharge capacity compared with the full-charge state by taking the full-charge state of the battery as a basic reference, so that the calculation is simple, and the SOC value calculated by utilizing the full-charge setting SOC value and designing the relative discharge capacity according to the full-charge state as a reference state has relatively high precision; therefore, the dual-core SOC for industrial and commercial energy storage enables the cost, the complexity, the precision and the real-time performance of an industrial and commercial energy storage system to be highly unified. The control effect of the energy storage system enables the battery pack to operate in a better state for a long time, and the healthy life curve of the battery pack is obtained by charging and discharging the battery pack in the better state, so that the simulation method for the energy storage system has higher scientificity.

The invention discloses a remote restarting method and device, a storage medium and a computer program product, and relates to the technical field of servers. The method comprises the following steps: in response to a fault of a non-real-time operating system, when a dual-core controller cannot be restarted through a first core or a process running in the non-real-time operating system cannot be restarted through the first core, sending an execution command to a second core at a remote control end; the second core obtains the execution command and judges the command type of the execution command; and the second core restarts the dual-core controller or runs in the process of the non-real-time operating system according to the command type of the execution command. According to the remote restarting method and device, the storage medium and the computer program product provided by the embodiment of the invention, when the Linux system is abnormal but does not trigger an overtime restarting mechanism, the substrate management controller or the network service is restarted remotely through the network service provided by the processor, and normal operation of the system is recovered.

The utility model relates to the technical field of intelligent power distribution, and especially relates to an Internet of Things feeder terminal device. The Internet of Things feeder terminal equipment adopts a dual-system core board, adopts a dual-core heterogeneous core scheme of a real-time core and a non-real-time core according to the real-time and non-real-time requirements of medium-voltage distribution network service data processing, supports multi-service identification processing, and is widely applied to Internet of Things transformation and upgrading of various medium-voltage distribution equipment. Through a built-in 5G communication module, point-to-point communication between devices is realized, millisecond-level data transmission is supported, low delay and reliability of data transmission are ensured, and a scheme of in-situ rapid fault isolation such as differential protection is realized. The device also supports an MQTT Internet of Things protocol, can realize edge calculation, has the characteristics of hardware platformization, software APP, software development interface standardization, edge calculation and the like, and can be accessed to sensing layer equipment of various communication types. And the device supports plug and play, has a self-description capability, and realizes software and hardware decoupling.

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 an electric vehicle charging network integrated platform based on a mutual assistance mode, and belongs to the technical field of electric vehicle charging networks. The device comprises a bidirectional DC / DC module, a bidirectional DC / DC charging control module, a bidirectional DC / DC discharging control module, a bidirectional AC / DC module, a bidirectional AC / DC charging control module, a bidirectional AC / DC discharging control module and a filter. The invention discloses a current metering device which comprises a peripheral control circuit based on an F288M35 dual-core chip. The peripheral control circuit comprises a main control device, a data acquisition module (comprising an AC sampling module and a DC sampling module), an IGBT driving module, a CAN bus communication module, a man-machine interface interaction module, a DC voltage sampling module, a DC current sampling module, an AC voltage sampling module, an AC current sampling module and a power supply module. And the vehicle networking system is used for reading parameters of the electric vehicle and comprises an OBD (On-Board Diagnostic) terminal, a background system and a mobile phone application program.

The invention provides a target object control method and device, electronic equipment, a medium and a product, and relates to the technical field of intelligent robots, a target object comprises dual-core heterogeneous processors, instruction sets and / or operating systems corresponding to the dual-core heterogeneous processors are different, and the dual-core heterogeneous processors share hardware resources; the method comprises the steps that in the starting process of any subsystem in an operating system of a target object, the running state of the dual-core heterogeneous processor is detected; in the embodiment of the invention, under the condition that the running state is determined to be abnormal, the information of the currently running task of the dual-core heterogeneous processor is stored, and the operating system of the target object is restarted based on the task information, so that the task is quickly recovered when the operating system has a problem, the task can be continuously executed from an interruption point after restarting, and the downtime is reduced.

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 discloses an efficient and accurate control system for a new energy commercial truck based on DSP redundancy. According to the invention, the dual-core DSP is adopted to improve the system performance. One core focuses on wave sending processing, voltage, current and temperature sampling work, operation control algorithm and communication functions; and the other core is used for detection and protection, fault processing, a self-learning algorithm and a fault pre-judgment algorithm. Meanwhile, the CAL coprocessor is used for sharing a signal calculation processing task, remarkably reducing CPU load and improving the overall operation efficiency of the system, and two groups of power modules are mutually backed up, so that when one group of power supply fails, the other group of power supply can be quickly switched, stable power supply of the system is ensured, system shutdown caused by power supply failure is effectively avoided, and the service life of the system is prolonged. Precise detection of three-phase current is achieved through a hardware addition circuit, three sets of data are displayed at the same time and verified mutually, data misjudgment caused by faults of a single collection point is prevented, and therefore reliable data support is provided for precise control of a system.

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 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 accesses to memory by each of the plurality of processing cores, and a software architecture embodied in non-transitory computer-readable media and configured to, when read and executed by the multicore processor, partition a plurality of processing tasks between the first processing core and the second processing core.

The invention relates to the technical field of electric vehicle safety, in particular to a battery thermal runaway early warning prevention and control system based on a multi-sensor fusion type neural network. According to the system, a multi-sensor technology is fused, battery operation data are accurately collected in real time, and multi-dimensional support is provided for thermal runaway early warning; the embedded dual-core dual-head STM32 processor architecture realizes the parallelism of system management and a neural network algorithm, so that the real-time performance and the calculation efficiency are improved; and the neural network early warning module carries out data training analysis and calculates a thermal runaway early warning grade. The early warning control module intelligently controls the vehicle according to the grade to comprehensively guarantee the battery safety; the system effectively improves the accuracy and response speed of battery thermal runaway early warning, and provides powerful guarantee for safe operation of vehicles.

The invention discloses a programmable controller device based on a dual-core hard real-time Linux system and an implementation method. The method comprises the following steps: transplanting a programmable controller into a Xenomai operating system to run; the method comprises the following steps of: logically dividing an application program into a real-time part and a non-real-time part when the programmable controller runs; based on a Xenomai operating system, performing integrated compiling by taking an application program as a whole when the programmable controller operates; and respectively running the compiled real-time part and the compiled non-real-time part on a non-real-time kernel and a real-time kernel of the Xenomai operating system, and respectively calling respective corresponding infrastructures through the non-real-time kernel and the real-time kernel to execute the corresponding infrastructures so as to execute the motion control task. And a real-time bus protocol is transplanted to a real-time core kernel part, so that the execution efficiency is further improved. According to the invention, an autonomous and controllable motion control programmable controller design method is realized, and the real-time performance index necessary for motion control is satisfied.

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.