994results about How to "Improve scalability" patented technology

The invention discloses a photovoltaic-energy storage-charging multi-stage scheduling and market bidding optimization method and a photovoltaic-energy storage-charging multi-stage scheduling and market bidding optimization device. The method comprises the following steps: constructing a data-driven random environment model reflecting photovoltaic output, electricity price fluctuation and charging load uncertainty by adopting a mode of combining time sequence clustering and a non-homogeneous Markov chain based on historical operation data; modeling a scheduling and bidding problem of the optical storage and charging integrated station into a multi-stage Markov decision process model which comprises day-ahead decision and joint optimization of multiple intra-day rolling adjustment; a deep reinforcement learning algorithm is utilized to train the network, and a strategy regulation and control network which can adapt to various uncertain scenes and meet equipment physical constraints is obtained; and deploying the trained strategy regulation and control network in an energy management system to realize global coordinated scheduling and bidding of the optical storage and charging integrated station. According to the method, the economic benefit is remarkably improved, the robustness is greatly enhanced, the decision is globally coordinated and optimized, the real-time decision capability is strong, and the expandability and portability are good.

The invention relates to an electric power marketing business abnormity real-time detection method and system based on stream-oriented computation, and belongs to the technical field of electric power system optimizing.The method comprises the steps that data snapshots are extracted from an electric power marketing business system, difference comparison is conducted on the data snapshots and historical snapshots of an intermediate library, and standardized increment events are generated and stored; capturing an incremental event in real time through a data change capturing tool and pushing the incremental event to a message queue; a streaming computation engine consumes the event stream, sequentially performs data cleaning, association with a static dimension table and sliding window statistical feature calculation, and constructs a feature vector; and performing parallel analysis and weighted fusion on the feature vectors based on a business rule base and an online machine learning model to generate a comprehensive risk score, and outputting an abnormal event when the score exceeds a threshold value. According to the method, the problems of exception identification lagging and complex work order process in a traditional batch processing mode are solved, the crossing of the business risk from hour-level detection to minute-level real-time perception is realized, and the timeliness and accuracy of power marketing risk management and control are improved.

The invention belongs to the technical field of uncertainty probability characterization analysis, and discloses a thermoplastic composite material leading edge structure design allowable value probability characterization method and system under a small sample condition, and the method comprises the steps: defining a plurality of candidate probability distribution models; fitting each model based on the original sample data and calculating an AIC value and a BIC value; a dynamic weight factor alpha is calculated according to the sample size n, and then a hybrid information criterion HIC value is calculated; generating a plurality of sample sets through Bootstrap self-service sampling, recalculating the HIC value on each sample set, and counting the selected optimal frequency of each model; and determining an optimal probability distribution model according to the frequency, wherein the optimal probability distribution model is used for representing a design allowable value. According to the method, the dynamic weight factor alpha is introduced, AIC and BIC criteria are effectively unified, optimal balance between prediction precision and model complexity is achieved under the condition of small samples, and engineering practicability and robustness are remarkably improved.

The embodiment of the invention discloses a virtual-real linkage experiment system based on digital twinning. The virtual-real linkage experiment system comprises hardware experiment equipment and computer equipment for operating a virtual simulation platform. The hardware experiment equipment comprises a simulator and a plurality of pluggable function modules. And the simulator is in communication connection with the virtual simulation platform through a computer equipment communication interface and communicates with each functional module. And the virtual simulation platform runs the virtual simulation model, receives an operation instruction input by a user through the computer equipment input assembly, performs logic simulation, updates the simulation state of the virtual simulation model, generates simulation state information and sends the simulation state information to the simulator. The simulator converts the simulation state information into a driving signal, drives the corresponding function module to update the physical state, and collects the physical state of each function module to obtain physical state information. The physical state is generated by operation of a user on the corresponding functional module or by the functional module responding to the driving signal. And the virtual simulation platform updates the simulation state of the virtual simulation model according to the physical state information.

The invention relates to the cross technical field of medical education and mixed reality technology, in particular to a traditional Chinese medicine meridian point visualization system based on mixed reality technology, which comprises a data fusion and personalized calibration module, a virtual-real fusion interaction module, an interaction teaching module, an intelligent evaluation module and a meridian qi and blood simulation module. By fusing medical image data, depth sensing data and a traditional Chinese medicine acupoint selection rule, a personalized three-dimensional human body model is constructed, and acupoints are accurately calibrated; real-time registration and shielding processing of the virtual model and a real scene are achieved through mixed reality equipment; various natural interaction modes such as gestures, voices and sight lines are supported, and an integrated function of learning, training and assessment is provided; and the meridian qi-blood running state can be dynamically simulated based on the midnight-noon ebb-flow theory. The system has the advantages that the problems that traditional Chinese medicine teaching is poor in intuition and interactivity, cannot be personalized, is inconvenient to examine and the like are solved, and immersive, interactive and intelligent teaching of traditional Chinese medicine meridian point knowledge is achieved.

The invention discloses a multichannel broadband receiver, and belongs to the technical field of microwave radio frequency and electronic control, the multichannel broadband receiver comprises a multichannel down-conversion assembly, a local oscillator power component, a power interface control panel and a VPX connector, the down-conversion assembly adopts a cavity-divided integrated structure, multiple identical radio frequency links are arranged in the same cavity in parallel, and the VPX connector is connected with the local oscillator power component. Down conversion from a 2-18GHz radio frequency signal to a 1.3-2.3 GHz intermediate frequency signal is realized through two-stage frequency mixing; the power supply interface control board takes an FPGA as a core, integrates the functions of multi-path power supply conversion, driving isolation, state monitoring and the like, and realizes channel gain power failure storage and calling, BIT self-inspection, nanosecond rapid turn-off and multi-parameter real-time monitoring through software and hardware cooperation. Through collaborative innovation of the structure, circuit and control, high integration, high channel consistency, high isolation and high intelligence of the multi-channel receiver are realized, and the multi-channel receiver is suitable for the fields of high-performance radars, electronic countermeasures and the like.

The invention relates to an Internet of Vehicles computing power scheduling method based on a graph neural network and deep reinforcement learning, and the method comprises the steps: S1, collecting the state information of network entities in the Internet of Vehicles and the association information between the entities in real time, and constructing a dynamic time-space attribute graph; s2, inputting the dynamic space-time attribute graph into a pre-trained graph neural network encoder, and outputting a node embedding feature set containing a high-order topological relation and global graph embedding features through multi-layer message passing and feature aggregation; s3, the node embedding feature set and / or the global graph embedding feature are / is used as the state of a deep reinforcement learning agent and input to a strategy network, the computing power scheduling action at the current moment is output, and the computing power scheduling action comprises the steps of assigning an unloading target node for a to-be-processed computing task and distributing corresponding computing and communication resources; s4, dispatching actions are distributed to the corresponding network entities to be executed, environment feedback is collected and used for model updating and next round of dispatching, and the method has the advantages of improving dispatching efficiency, adaptability and system energy efficiency and the like.

The invention discloses a multi-energy complementary power distribution control method, belongs to the technical field of electric power system control, and aims to solve the problems that an existing multi-energy system control method based on periodic instruction issuing is heavy in communication burden, response lags when sudden disturbance is dealt with in two scheduling intervals, and the power distribution efficiency is poor. And the operation economy and the dynamic stability are difficult to consider at the same time. The method comprises the steps that an upper-layer optimization controller generates virtual impedance potential field function parameters and key topological characteristics and issues the virtual impedance potential field function parameters and the key topological characteristics to a local controller; the local controller executes power control based on the potential field gradient and monitors the topological position of the operation point; when a topology crossing event is detected, an asynchronous event triggering signal is sent upwards, and an upper-layer controller is triggered to carry out aperiodic re-planning. According to the method, decoupling of economic optimization and dynamic control is realized, the robustness and the adaptive capacity of the system under disturbance are improved, meanwhile, the communication burden is reduced, and the method is suitable for a system containing a large amount of distributed energy.

The invention provides a fine configuration method and system based on a strategy mode, and the method comprises the steps: defining themes used for abstracting entrance traffic, order distribution and other events through a configuration system, and configuring a basic data source and a data processing rule for each theme, wherein the data processing rule supports a user to carry out code development implementation in a basic class of each service line according to service requirements; the system automatically stores theme data to middleware, matches a corresponding theme through a strategy mode after receiving a user request, performs secondary data processing according to a configuration rule and returns a result; the technical effects of flexible configuration mode, quasi-real-time index calculation, support of multi-source data access, high-concurrency scene adaptation and good expansibility in flow fine management are realized, and the service operation demand change can be quickly responded.

This application discloses a method and apparatus for constructing a multi-scale adaptive gating MambaPlus network, belonging to the field of artificial intelligence and machine learning technology. The method includes: initializing the network configuration and constructing the basic structure; preprocessing the input data to generate a standard dataset; mapping the input data to the hidden space via an input mapping layer, and extracting backbone features from the Mamba backbone; constructing at least two parallel scale branches in the hidden space to obtain a multi-scale feature set; inputting the backbone features and multi-scale features into an adaptive gating module, dynamically allocating weights and adaptively fusing them through a hierarchical gating mechanism to generate fused features; further enhancing the features through cross-scale attention and feedforward enhancement, and then superimposing the residuals to generate the final discriminative features; finally, completing category prediction and model training evaluation. This application, while retaining the advantages of Mamba's long-range dependency modeling, addresses the problems of insufficient utilization of multi-scale information, poor adaptive feature fusion, and low robustness in complex scenarios.

The invention discloses a horizontal well multi-cluster fracturing crack propagation prediction and parameter optimization method and device, and the method comprises the steps: inputting the target input data of a target fracturing section into a fracturing crack propagation prediction model, and outputting a crack propagation prediction result; the target input data comprises preprocessed geological parameters and engineering parameters; the fracturing crack propagation prediction model is obtained by training according to a preset training set; the preset training set is a data set obtained by performing data enhancement on the input sample data and the corrected crack expansion sample data; based on the fracturing fracture propagation prediction model, determining the contribution degree of each geological parameter and engineering parameter in the target input data to a fracture propagation prediction result, and screening key parameters influencing multi-cluster fracture equilibrium propagation; and adjusting engineering parameters in the key parameters to serve as optimization engineering parameters by taking a crack propagation prediction result meeting a multi-cluster crack balanced propagation requirement as a target. According to the method, accurate and rapid prediction of crack propagation and targeted optimization of engineering parameters can be realized.

The invention provides a remote sensing monitoring multi-scale space grid index construction method and device, and belongs to the technical field of remote sensing monitoring, and the method comprises the steps: dividing uniform basic grids based on the geographic boundary of a monitoring region; calculating a service importance score fusing the supervision priority, the geographic complexity and the historical change frequency for each basic grid; according to the score, a preset threshold value and a dynamic decision, refinement, maintenance or aggregation operation is executed on the basic grid, and a service-adaptive multi-scale grid structure is formed; unified codes based on a Z-order curve are generated for all the grids; establishing association mapping between the water conservancy business object and the grid and determining a main grid; and finally outputting a spatial grid index fusing geometry, coding, hierarchy, attribute and association relationship. According to the method, the AI interpretation efficiency of the mass remote sensing data can be remarkably improved, the allocation of computing resources is optimized, and the accuracy of monitoring and early warning is improved through deep fusion with business rules such as river and lake supervision.

The invention relates to a priority-based high-visibility stream-by-stream data packet sampling method and system. Comprising the following steps: step 1, flow initiation and priority marking; step 2, flow establishment and controller decision making; step 3, rule issuing and strategy execution; and step 4, data forwarding, scheduling and sampling: a priority scheduling mechanism of a data plane and global optimization of a control plane are decoupled and coordinated. In a data plane, a terminal host marks a degradation priority for a data packet according to the number of bytes sent by a stream, and a switch performs strict queue scheduling and probability sampling based on the priority. In a control plane, a controller carries out collaborative modeling on the configuration of routing, sampling probability and degradation threshold as a nonlinear optimization problem with maximization of sampling utility as a target, and an efficient online primitive-dual interior point method is adopted for solving. According to the method, high visibility and load balancing are finally ensured, and meanwhile, the control and calculation overhead is remarkably reduced.

The invention discloses an HSI and ranging data cross-domain classification method and system based on domain expansion and feature decoupling, and aims to solve the problems of single mode, insufficient domain offset simulation and weak generalization ability in the prior art. Preprocessing the HSI and LiDAR data to obtain a source domain sample, and generating an expansion domain sample through frequency domain amplitude disturbance and adversarial domain expansion; extracting basic features by using a multi-stream convolutional neural network, and separating domain specific features and cross-modal and cross-domain domain invariant features; and adaptively fusing the three types of features through an attention network, and inputting the preprocessed target domain data into a trained model to obtain a classification result. Through multi-modal fusion, mixed domain expansion and feature decoupling, the cross-domain classification precision and generalization ability are improved, fine adjustment of target domain data is not needed, application is flexible, and the method is suitable for multi-scene remote sensing ground feature classification.

The invention discloses a three-function deep counterfeit watermark evidence obtaining method, and relates to the technical field of digital image evidence obtaining and deep counterfeit detection. The method comprises the following steps of: 1, constructing a 152-dimensional composite watermark LIDMk; 2, constructing a four-module network architecture comprising an encoder E, a random operator factorization head decoder FHD and a discriminator D; 3, training the network architecture by adopting a two-stage training strategy; and step 4, applying the trained network architecture to deep counterfeiting evidence obtaining. According to the invention, through constructing a novel composite watermark and a unified network architecture, the integration of detection, tampering positioning and source tracing of deeply-forged contents is realized, meanwhile, the classical tradeoff problem of a watermark technology is solved, and the robustness and practicability of the evidence obtaining method are improved.

This utility model relates to the field of agricultural machinery and equipment technology, specifically a paddy field wheel, including a main shaft with multiple mounting discs. Blades are detachably assembled between every two adjacent mounting discs. Each mounting disc has multiple mounting positions for positioning the blades, and each blade has a first mounting part and a second mounting part. When the blades are assembled onto the mounting discs, the first and second mounting parts are respectively connected to the end faces of two adjacent mounting discs. This paddy field wheel has a simple overall structure, and the blades are detachably screwed together, allowing for batch processing and transportation, improving transportation efficiency while reducing processing and welding costs, and facilitating subsequent blade upgrades and replacements. The assembly of the first and second mounting parts with the mounting discs simplifies conventional blade components such as bracing plates and reinforcing bars, reduces welding processes and costs, improves installation efficiency, and overall reduces the processing, transportation, and usage costs of the paddy field wheel, while also improving its tillage efficiency.

The invention relates to the technical field of information management, in particular to a material digital management system and method based on a cloud platform. The method comprises the following steps: acquiring material data; distributing a material storage space by using the material data; receiving an operation message of the storage space, and pushing the operation message to an inventory database; creating a circulation record table and an inventory state table; using the operation message in the inventory database to update a circulation record table, and recording circulation data; automatically updating an inventory state table according to the circulation data so as to determine the material inventory capacity; when the material inventory capacity is lower than or equal to a preset safety inventory threshold value, management early warning information is generated; and when the material inventory capacity is higher than a preset safety inventory threshold value, updating the management safety field of the inventory state table. The material inventory is monitored in real time based on the information management technology, the replenishment information is intelligently generated, inventory dynamic management is achieved, and the material management efficiency is improved.

This invention discloses a method for fabricating a highly sensitive long-wavelength infrared superconducting single-photon detector. It fully utilizes and amplifies the acoustic mismatch effect between the superconducting thin film and the substrate to achieve phonon localization enhancement on the superconducting nanowires. The effect of this innovative design is to increase the energy utilization rate of long-wavelength infrared photons on the superconducting nanowires, thereby improving the response sensitivity of the superconducting nanowires to long-wavelength infrared photon signals. Compared to existing designs that reduce the cross-sectional size of the superconducting nanowires, create holes beneath the nanowires, or increase the buffer layer, this invention is easier to implement and has higher scalability.

The invention provides a surface-modified perovskite nanocrystal and a preparation method and application thereof, and the surface-modified perovskite nanocrystal comprises: a perovskite nanocrystal having a chemical composition of ABX3; wherein A is selected from at least one of Cs < + >, CH3NH3 < + > and HC (NH2) 2 < + >; b is selected from at least one of Pb < 2 + >, Sn < 2 + >, Ge < 2 + > and Mn < 2 + >; x is selected from halogen anions; the surface of the perovskite nanocrystal is coated with an organic ligand layer; the organic ligand comprises a halogenated organic ligand. In the surface modified perovskite nanocrystal, the surface of the perovskite nanocrystal is coated with the organic ligand layer, so that surface defects can be effectively passivated at the same time, and the surface integrity and the crystallization quality of the nanocrystal are remarkably improved. And due to the surface consistency, the defect state density is reduced, and the exciton and phonon coupling coefficient is reduced, so that a non-radiative composite channel is remarkably inhibited, and the optical performance of the perovskite nanocrystal is remarkably improved.

The application provides a numerical control machining program generation method, an electronic device and a storage medium. The method determines at least one first instruction string corresponding to a to-be-machined pattern according to the shape parameter and the corresponding process parameter of any to-be-machined pattern corresponding to a to-be-machined workpiece; acquires a machining parameter from a preset machining parameter library according to the corresponding process parameter, and determines at least one second instruction string corresponding thereto according to the acquired machining parameter; constructs a corresponding instruction string set according to the at least one first instruction string and the at least one second instruction string corresponding thereto based on the corresponding machining process; and generates a numerical control machining program based on the corresponding instruction string set, so as to clearly describe the hierarchical relationship between the internal instruction strings of the numerical control machining program, improve the readability, expandability, flexibility and accuracy of the numerical control machining program, and reduce the maintenance difficulty.

The road construction vehicle-mounted early warning system comprises a radar sensing module, a first communication module, a controller module and a warning module, the output end of the radar sensing module is electrically connected with the input end of the first communication module, and the radar sensing module is used for detecting the running speed and vehicle distance data of a vehicle; the output end of the first communication module is electrically connected with the input end of the controller module, and the first communication module is used for transmitting the detected vehicle running speed and vehicle distance data to the controller module to screen abnormal data; the output end of the controller module is electrically connected with the input end of the warning module, and the controller module is used for carrying out early warning and reminding on a vehicle corresponding to the abnormal data; the driving speed and the vehicle distance data of the vehicle are monitored in real time through the radar sensing module, the detected data are transmitted to the controller module to be processed, the warning module carries out acousto-optic reminding on the vehicle with abnormal data, the potential collision risk can be found and reminded in time for a driver, the occurrence rate of traffic accidents is reduced, and the safety is improved.

The invention relates to an intelligent scheduling system and method for security and protection video streams of an intelligent television. The intelligent scheduling system comprises a user, an Android TV client (TV client for short), a Web signaling server, a Relay proxy server and a camera. The user interacts with the TV client through an input device of the remote controller and initiates a watching instruction; the TV client is used for receiving a user instruction, performing signaling interaction with the Web signaling server, and establishing video stream connection with the camera or the Relay proxy server; the Web signaling server is used as a control center of the system and is used for receiving a request of the client, carrying out intelligent scheduling decision making and issuing a control instruction to the downstream camera and the client; the Relay proxy server serves as a video stream transfer node and is used for forwarding video stream data when P2P direct connection is unavailable; and the camera is used for collecting a video stream and pushing the video stream to the TV client or the Relay proxy server according to an instruction of the Web signaling server.

The invention discloses a high-concurrency trusted computing remote certification method and system based on equipment type adaptation, and relates to the technical scheme that the method comprises the following steps: receiving a registration request which is sent by a client and contains an equipment type identifier; creating a thread pool, packaging the received registration request into a registration processing task, scheduling the registration processing task, analyzing an equipment type field in the registration request, and storing a mapping relationship between a client identifier and an equipment type to a local configuration file; in the challenge certification stage, querying the equipment type of the client from the local configuration file, and selecting an adaptive remote certification protocol according to a preset mapping rule; and packaging response verification operation of the server to the client into a proof processing task, and submitting the proof processing task to a thread pool for high-concurrency scheduling. The method can adapt to multi-form client requests, and can efficiently process large-scale concurrent remote attestation requests at the same time.

The present application belongs to the field of advanced coating and preparation, and particularly relates to a high-transparent and scratch-resistant multifunctional antistatic coating and a preparation method thereof. The present application provides a high-transparent and scratch-resistant antistatic coating, raw materials of the antistatic coating comprising fluorion-containing silsesquioxane monomer, functional monomer and catalyst; wherein the functional monomer is a crosslinking agent or an anti-crystallization agent. The coating obtained by the present application has a light transmittance of >98% (550 nm); a surface pencil hardness of greater than 9H, no scratches after more than 1000 times of steel wool rubbing; a surface resistivity of about 10 8 ~10 9 Ω / sq, and a fast electrostatic discharge rate.

The utility model relates to an excavator breaking hammer protective knife structure which comprises a breaking hammer fixing frame (1), a breaking hammer body (2) and a breaking drill bit (3), the breaking hammer body (2) is arranged on the breaking hammer fixing frame (1), and the breaking drill bit (3) is arranged at one end of the breaking hammer body (2). The breaking hammer is characterized in that the breaking hammer fixing frame (1) is provided with a protection piece (4) used for protecting and / or a breaking part (5) used for breaking or smashing objects, the protection piece (4) is matched with the breaking hammer fixing frame (1), and the protection piece (4) and / or the breaking part (5) are / is fixedly connected with or integrally formed with the breaking hammer fixing frame (1). According to the design, on one hand, the breaking hammer can be protected, and on the other hand, the breaking efficiency is improved.

The application provides a wavelength division multiplexing array, which can be applied to the technical field of optical communication and comprises a first input waveguide, a polarization rotation beam splitter, a second input waveguide, a third input waveguide and a plurality of wavelength division multiplexing units, wherein the first input waveguide is used for receiving an initial optical signal from outside, the initial optical signal containing dual polarization information; the polarization rotation beam splitter is used for converting the initial optical signal into a first optical signal and a second optical signal with the same polarization information; the second input waveguide is used for transmitting the first optical signal; the third input waveguide is used for transmitting the second optical signal; and the plurality of wavelength division multiplexing units comprise an uplink wavelength division multiplexing device and a downlink wavelength division multiplexing device, wherein the uplink wavelength division multiplexing device is used for decomposing the first optical signal into optical signals with single wavelengths; and the downlink wavelength division multiplexing device is used for decomposing the second optical signal into optical signals with single wavelengths. The structure has the advantages of polarization independence, high optical communication capacity, simple structure, friendly process and strong scalability, and can be used for providing bidirectional wavelength division multiplexing for data-intensive networks and connections.

A kind of flow video active interaction control method, equipment and medium for the scene of helping blind, construct the hierarchical task system for the scene of helping blind, train the semantic understanding and behavior alignment of multimodal large model to specific task of helping blind;Introduce the active interaction control mechanism for flow video, under the premise of not changing the bottom model parameter, realize the trigger output of environmental perception by the dynamic suffix switching of determination mode and generation mode;Finally, the incremental context updating strategy is used to optimize the inference process, while keeping the timing consistency and reducing the calculation redundancy.The invention solves the technical problems of lack of special data, passive interaction logic and calculation redundancy of multimodal large model in flow environment through the synergistic effect of data-driven task adaptation and active interaction mechanism.The general framework proposed in the invention provides an important theoretical basis and technical paradigm for the paradigm evolution of flow video understanding from "passive analysis" to "active interaction".

This invention discloses an automated centrifuge and its control system based on material purification. The centrifuge body includes a centrifuge body and an automated control system used in conjunction with it. The centrifuge body is electrically connected to the automated control system, enabling automated sensing, decision-making, and execution throughout the entire material purification process, constructing a closed-loop control system of "collection-analysis-control-feedback." The centrifuge body includes a rotating drum, a drive system, a feeding system, a discharging system, an automatic unloading mechanism, and a safety protective shell. The rotating drum, as the core component for material separation and purification, is made of stainless steel or titanium alloy. This invention relates to the field of material purification equipment technology, specifically enabling automated control of the entire material purification process, improving purification accuracy and production efficiency, enhancing equipment operational safety, realizing process formula storage, data traceability, and production line linkage, and reducing reliance on manual labor.

The application discloses a network protocol fuzzy test seed evaluation method and device based on multi-standard combination weighting. In order to realize multi-standard combination weighting, first, evaluation indexes for measuring the value of a network protocol fuzzy test seed are selected, including basic evaluation indexes, future potential indexes and network protocol related indexes. Then, pre-fuzzy testing is performed to obtain item evaluation index values of sample seeds. Based on the evaluation index values, an entropy weight method is used to determine first weights of all evaluation indexes, and a maximum deviation method is used to determine second weights of all evaluation indexes. The evaluation weights of the evaluation indexes are determined by comprehensively considering the first weights and the second weights. According to the evaluation weights, all evaluation index values of the sample seeds are integrated to obtain evaluation values of the sample seeds. The application can improve the network protocol information utilization rate, thereby ensuring the stability of the seed selection process, improving the overall quality of the selected seeds, and further improving the efficiency of the fuzzy test and the vulnerability discovery capability.

This invention belongs to the field of copper alloy material design and preparation technology, and discloses a new process for efficiently designing high-performance copper-iron alloys. Based on the 5% Fe content vertical cross-sectional characteristics of the Cu-Fe-Si ternary phase diagram, the Si content is designed in stages (0-4%) to achieve targeted performance optimization. Combined with a three-stage heat treatment process of "homogenization-basic aging-gradient aging", a closed-loop system of "phase diagram design-preparation-detection-optimization" is constructed. Through precise composition control by EPMA and real-time feedback of mechanical properties, the problems of blind composition design and insufficient precipitation of strengthening phases in traditional processes are solved. The resulting alloy has excellent tensile strength, yield strength, and total elongation at break, with synergistic improvement in mechanical and magnetic properties, and a design efficiency improvement of more than 40%, making it suitable for electronic, mechanical and other fields.