35results about How to "Flexible scalability" patented technology

The invention provides an excitation amplitude automatic closed-loop control system and method for a DLCP test. The system comprises a multi-frequency alternating current excitation and direct current bias voltage applying module which is used for automatically applying alternating current excitation signals and direct current bias voltage signals according to a preset excitation amplitude sequence under a plurality of test frequencies; the PID closed-loop control module is used for performing closed-loop correction on the applied voltage according to the response of the test port of the tested semiconductor device, so that the condition of the applied voltage at the test port meets a preset requirement; the capacitance measurement module is used for acquiring an equivalent capacitance response signal of the tested semiconductor device; the capacitance test data caching module is used for performing associated marking and classified caching on the capacitance test data according to the test frequency, the excitation level and the bias voltage set point; and the main control module is used for coordinating automatic test processes under the conditions of a plurality of test frequencies and different excitation amplitudes and outputting corresponding capacitance test data so as to improve the consistency, stability and automation degree of the DLCP test.

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 silicon carbide intelligent power module with voltage and current dual-detection over-current protection, and relates to the technical field of semiconductors. In order to solve the problem that when an existing silicon-based intelligent power module (IPM) is matched with a silicon carbide metal-oxide-semiconductor field effect transistor, due to the fact that the over-current protection response speed is low, interference and false triggering are likely to happen, a dual over-current protection mechanism combining desaturation voltage detection and sub-current detection is adopted. And by mixing and integrating the silicon substrate and the silicon carbide power device, the performance requirements of different application scenes are considered. Three driving control chips, six IGBT chips, six fast recovery diode chips, one SiC MOSFET chip, two silicon carbide Schottky barrier diode chips and one patch sampling resistor are integrated in the module, and all the elements are packaged in the same insulation heat dissipation substrate and lead frame combined structure, so that high integration level, high reliability and fast overcurrent protection are realized; the method can be widely applied to the fields of household appliances, industrial control, new energy and the like.

This utility model relates to the field of cold storage structure technology and discloses a novel prefabricated cold storage unit, including a cold storage frame composed of a first frame, a second frame, and a connecting frame. Each of the first frame and the connecting frame has a door on opposite sides, and the connecting frame is positioned between the first and second frames. A partition is slidably connected inside the frame to change the internal space of the cold storage. A fixing component is positioned between the frames to facilitate assembly; the fixing component includes a plug-in plate and grooves formed inside the first and connecting frames. This utility model adopts a modular structure design, allowing for flexible expansion and combination of cold storage capacity through the splicing of the first frame, second frame, and connecting frame, meeting diverse application needs. The structure of slides and fixing seats ensures the stability of the longitudinal assembly. The use of plug-in plates, grooves, and fixing bolts makes overall assembly quick, disassembly convenient, and transportation and maintenance easy.

The invention provides a reinforcement learning training framework and method for a large language model, and relates to the technical field of large language model processing based on a modular decoupling architecture, and the method comprises the steps: obtaining a training task through a data loading module; reasoning the training task by using a big language model through a reasoning sampling execution module to generate trajectory data; converting the plurality of pieces of track data meeting the preset requirements into track batch data through a track management module; training batch data are obtained through an algorithm processing module in combination with the track batch data and the corresponding advantage values; the large language model is trained based on the training batch data through the training execution module, flexible replacement and expansion of components are achieved through modular decoupling and interface standardization, and the flexibility and development efficiency of the framework are remarkably improved. Meanwhile, a built-in resource scheduling and full-link monitoring mechanism ensures efficient and stable operation of large-scale training tasks.

The utility model discloses an SIP radio frequency surface-mounted BPSK modulator, which relates to the technical field of semiconductor radio frequency devices, and comprises a substrate and a phase-locked loop circuit arranged on the substrate, the phase-locked loop circuit is connected with a power divider and a differential buffer output unit, the power divider and the differential buffer output unit are connected with a modulation multiplier, and the modulation multiplier is connected with an SIP radio frequency surface-mounted BPSK modulator. The modulation multiplier is connected with a baseband processing unit and a first filter, the baseband processing unit is connected with a first signal input end, the first filter is connected with a switch modulation unit, the switch modulation unit is connected with a second signal input end and a second filter, and the second filter is connected with a signal output end. The device provided by the utility model has the advantages of small size, integration, multiple functions and good modulation effect.

The application provides a linear motion test system of a multi-channel inductive proximity sensor, relates to the technical field of aviation sensor testing, and comprises a base, a plurality of linear motion platforms installed on the base, a plurality of targets fixed on the linear motion platforms through target supports, a plurality of proximity sensors fixed on the base through sensor supports, a plurality of stepping motors for driving the linear motion platforms to move along a straight line, and an upper computer connected with the stepping motors through a CAN bus via a CAN distributor, for sending position control instructions to the stepping motors, so that the stepping motors drive the linear motion platforms to drive the targets to move, the distance between the targets and the proximity sensors is adjusted, the inductance values of the plurality of proximity sensors are collected by a measured controller, and performance verification is completed. The application realizes automatic and accurate control, reproduces real working conditions, improves the reliability of test data, adapts to the testing requirements of multiple scenes, and guarantees the operation reliability of aviation key systems.

The utility model discloses an earphone with a detachable NFC (Near Field Communication) magnetic patch, which comprises an earphone main body and an NFC magnetic patch, and the NFC magnetic patch is detachably arranged on the earphone main body; an NFC chip is arranged in the NFC magnetic patch and is used for storing and transmitting NFC data; the earphone main body is internally provided with a PCBA board with an NFC processing module, and the PCBA board is used for processing NFC signals. According to the utility model, through the design of the detachable NFC magnetic patch, convenient interaction between the earphone with the NFC magnetic patch and a mobile phone APP is realized, and the intelligent degree of the earphone and the user experience are improved; a user can replace or upgrade the NFC magnetic patch according to needs, and flexible expansion and upgrade of earphone functions are realized.

A shaft power monitoring system based on wireless power supply and micro-strain measurement comprises a rotor, a stator, a wireless power supply system and a display end, the rotor part collects shafting strain signals through a strain gauge, and after signal conditioning and digital processing are completed through a microcontroller, non-contact transmission of data is achieved through a wireless transmitting module; meanwhile, electric energy required by operation is obtained through a wireless power supply receiving end and a rectifying circuit board; the stator part receives and analyzes data transmitted by the rotor through a wireless receiving module, and signal management and state monitoring are carried out by a microcontroller; meanwhile, a rotating speed measuring module arranged in the stator monitors the rotating speed of the shaft system in real time, and continuous and stable energy support is provided for the rotor through a direct-current power supply and a wireless power supply transmitting end. According to the invention, through combination of a high-precision micro-strain measurement technology, wireless power supply and wireless data transmission, technical difficulties of a traditional shaft power measurement system can be effectively solved.

This invention discloses a method, system, and storage medium for multivariate time-series feature extraction and grade prediction in flotation processes. The method includes the following steps: Step S1: Raw data input and encoding; encoding and structured input of time-series data composed of various process variables; Step S2: Extracting dynamic features; Step S3: Condition-guided encoding modeling; Step S4: Enhancing the saliency of key variables and important time segments; employing a multi-head attention mechanism to match key-value pairs generated from target-guided query vectors and multi-scale features; Step S5: Outputting a prediction module; performing feature fusion and nonlinear mapping on the attention mechanism output to output the predicted concentrate grade and recovery rate for future times. The system and storage medium are both based on the above method. This invention has advantages such as higher intelligence, better controllability, and improved prediction accuracy and model adaptability for key indicators in the flotation process.

The application discloses a kind of intelligent optimization cultivation space's fungus mushroom cabin, including cabin section head, folding cabin section body and mobile mechanism, the folding cabin section body is placed between cabin section head and cabin section tail, by increasing or reducing the number of folding cabin section body, flexible combination and adjustment are carried out, to respond to planting demand realizes the expansion or reduction of fungus mushroom cabin cabin body space, the mobile mechanism is symmetrically arranged in the cavity of folding cabin section body, and it is used for the position control of three-dimensional cultivation frame, controls out planting personnel passageway, maximum degree reasonable use fungus mushroom cabin cabin space.The intelligent optimization cultivation space's fungus mushroom cabin, by combination type structure setting, can reasonably according to the number of fungus mushroom three-dimensional cultivation frame, realize the flexible adjustment and expansion of fungus mushroom cabin cultivation space, to adapt to different use requirements, in addition, carry out automatic sealing treatment while assembling and locking, keep the sealing effect of combination type fungus mushroom cabin connecting place.

The invention discloses a safe and credible message encryption communication system based on a block chain network, and belongs to the technical field of block chains, and the key point of the technical scheme is that the system comprises an intelligent contract layer, an encryption communication layer, a privacy protection layer and an evidence storage auditing layer. End-to-end security encryption communication is provided, credible evidence storage and auditing of messages are ensured, user communication privacy is protected, flexible authority management is supported, and the effects of message tampering prevention and source tracing are achieved.

This invention discloses a data product identity ID generation method based on a data grid, belonging to the field of data processing technology. It includes constructing a system communication architecture based on a data grid, employing a distributed, multi-layered data product identity ID design within the communication architecture. This solves the technical problem of achieving efficient ID generation algorithms and query mechanisms using data grid-based data product identity ID generation. This invention ensures that the generated identity ID is globally unique within the data grid, improving user understanding and interpretability of its meaning, facilitating the expression of relationships and dependencies between data products, possessing strong versatility, improving interoperability between the system and applications, allowing for flexible expansion and customization, ensuring efficient data transmission and low-latency communication, while also possessing reliability. The design employs the BGP routing protocol, enabling the selection of the optimal path, avoiding loops, and achieving data communication across autonomous systems.

The invention discloses a database distributed version synchronization and intelligent compression method and system, and relates to the technical field of distributed databases. The method comprises the following steps: a database fragment management mechanism in a distributed environment divides a database into a plurality of fragments, and each fragment independently maintains a versioned storage manager; a cross-node version coordination mechanism ensures the consistency of global version numbers; according to a multi-copy synchronization mechanism, the consistency of multiple copies is ensured by adopting a two-stage submission protocol; an intelligent copy selection algorithm; a distributed garbage recycling mechanism; the version compression mechanism is used for analyzing historical version data and storing the historical version data by adopting increment; intelligently combining strategies, and determining a compression strategy according to the data access frequency. According to the method, the problem of consistency of data version synchronization in a distributed environment is solved, and meanwhile, storage space occupation is reduced through intelligent compression.

The application discloses a respiratory system disease clinical decision method, system, equipment and medium, belongs to the artificial intelligence technical field, aims at solving the problem of poor accuracy and accessibility of respiratory system disease clinical decision, and comprises the following steps: acquiring general medical sample data, electronic medical record sample data and label data; using the general medical sample data to pre-train a diagnosis sub-model and an inference decision sub-model; using the electronic medical record sample data and the label data to fine-tune the diagnosis sub-model and the inference decision sub-model; acquiring to-be-tested medical data and inputting the diagnosis sub-model to obtain a diagnosis result; taking the diagnosis conclusion as a query anchor point, searching in a structured database according to the medical data, and returning medical knowledge context; constructing a final prompt word by using the medical data, the diagnosis conclusion and the medical knowledge context, and inputting the final prompt word, the diagnosis conclusion and the medical knowledge context into the inference decision sub-model together, and outputting an explanation text by the inference decision sub-model.

This application provides an NPS survey anti-fraud method and system. The method includes: acquiring users' NPS survey questionnaires; performing contradiction detection on the scores and selected reasons contained in the questionnaire based on a score-cause association rule base, outputting a cause-contradiction score; verifying the score values ​​and open text using a deterministic text analysis algorithm based on a domain sentiment dictionary, outputting a text-contradiction score; determining the questionnaire's suspicion score based on the obtained cause-contradiction score and text-contradiction score; and determining the questionnaire's validity based on the suspicion score. The corresponding system includes a data acquisition module, a verification module, and a decision engine module for performing the above steps. The storage medium stores instructions for implementing the above method. This application uses a pre-set rule base and domain dictionary to perform deterministic analysis on the questionnaire content, making the judgment process completely transparent and traceable, reducing the system deployment and maintenance threshold, and achieving efficient and reliable data anti-fraud effects.

The utility model discloses a water tank empty real exchange goods shelf device relates to the technical field of logistics operation, wherein, water tank empty real exchange goods shelf device includes frame, conveying mechanism, first push mechanism, second push mechanism and elevating system, and conveying mechanism includes first conveying assembly and second conveying assembly that first conveying assembly and second conveying assembly are spaced apart on the frame along the vertical direction, and elevating system is used for moving material from the discharge end of second conveying part to the feed end of third conveying part. The utility model discloses the technical scheme through adopting four oblique settings conveying part, forms the continuous goods box circulation path, and effectively simplifies the conveying flow, and improves work efficiency, through adopting first push mechanism and second push mechanism, can realize the accurate transfer of goods box between different levels, through adopting elevating system, realizes the automation exchange of empty box and real box, ensures that empty box can be in time back to logistics system and continue using, guarantees the stability and continuity of production rhythm.

The invention discloses a fine-grained multi-dimensional speech evaluation method and system based on reinforcement learning and a thinking chain, and belongs to the technical field of artificial intelligence and speech signal processing. Batched structured evaluation problems are designed for a plurality of preset voice quality evaluation dimensions, a training set containing voice-problem pairs is obtained, and a pre-trained large language model is adopted to carry out thinking chain labeling; performing supervision fine tuning on a basic audio language model by adopting the training set and the annotation data thereof, and initializing an independent evaluation sub-model for each evaluation dimension based on the fine tuning model; the training set is divided into subsets according to evaluation dimensions, sub-models of all dimensions are trained under a reinforcement learning framework, and finally a unified multi-dimensional speech evaluation model is formed after weighted fusion and used for reasoning a speech-problem pair to be evaluated and outputting a thinking chain reasoning text and a binary evaluation result. According to the invention, a high-precision evaluation result containing logical reasoning can be output, and automatic and explainable synthetic speech quality evaluation is realized.

The invention discloses polytetrahydrofuran ether glycol-based shape memory polyurethane and a preparation method thereof. The polytetrahydrofuran ether glycol-based shape memory polyurethane is successfully prepared by using polytetrahydrofuran ether glycol as a soft segment and diisocyanate and a polyol chain extender as hard segments and adopting a solution polymerization method. Experimental result analysis discovers that the melting transition temperature and crystallization temperature of the obtained polytetrahydrofuran ether glycol-based polyurethane can be adjusted by adjusting the proportion of the soft and hard segments, and experimental results show that the prepared polytetrahydrofuran ether glycol-based polyurethane not only has good shape memory cycle performance, large strain performance and excellent stability, but also has good shape memory cycle performance and good shape memory cycle performance. And meanwhile, the method has flexible expandability, so that the method becomes a good choice of a flexible intelligent textile substrate, and can be used for thermal comfort management of clothes.

The application provides a control method and device of an Internet of Things gateway and an Internet of Things gateway system, relates to the technical field of the Internet of Things, and the control method comprises the following steps: acquiring a natural language instruction input by a user; performing semantic analysis on the natural language instruction by an intelligent agent framework deployed in a Docker container, and extracting a user intention; performing task planning according to the user intention, and generating a task execution sequence; calling a predefined tool interface, mapping the task execution sequence into a control instruction for a bottom-layer gateway hardware interface; and sending the control instruction to a corresponding Internet of Things device, and completing gateway interactive control. The application realizes flexible expansion and natural semantic interaction of the control logic of the Internet of Things gateway, and solves the technical problem of poor expandability and solidification of the control logic of the Internet of Things gateway in the prior art.

The invention discloses an urban traffic flow prediction and signal optimization method based on a space-time diagram neural network. The method specifically comprises the following steps: S1, constructing an urban road network topological graph; s2, multi-source heterogeneous data fusion and feature extraction; s3, establishing a space-time diagram neural network prediction model; s4, a signal optimization algorithm based on a prediction result; s5, model training and online strategy updating; s6, integration and real-time reasoning optimization are carried out; according to the method, through constructing topological graph representation of an urban road network, fusing multi-source heterogeneous traffic data and adopting a deep learning architecture combining a graph convolutional network and a time sequence prediction model, accurate short-term prediction of traffic flows of intersections and road sections is realized, and a dynamic signal optimization algorithm is designed based on a prediction result, so that the traffic flow prediction efficiency is improved. The adaptive adjustment of traffic signal timing is realized, so that the traffic efficiency of a road network is improved, and the vehicle delay is reduced.

A back-emitting lidar transmitter chip based on a nanobeam switch array includes a nanobeam switch routing network, a metal reflective layer, and a metasurface lens serving as a Fourier transform lens. The nanobeam switch routing network is fabricated on the front side of the chip. After the input optical signal enters the nanobeam switch branch of the network, it is routed by specific nanobeam switch units to the corresponding nanobeam emission branch, and then emitted into free space by specific nanobeam emission units. The front metal reflective layer reflects the upward-radiated light waves downwards, and finally, all downward-emitted light waves are collimated and emitted in a designated direction by the back metasurface lens. This invention enables directional transmission, simultaneously achieving switch selection and vertical emission functions. The silicon-based metasurface lens can serve as a Fourier transform lens to achieve high-precision, wide-range beam scanning, providing a superior technical path for the large-scale manufacturing of silicon-based integrated lidar transmitter chips.

The utility model discloses a quick locking and anti-loosening of shell is realized through the rotary joint structure of front cover and rear cover, and the assembly is reliable. The innovative claw slide and the design of the buckle hole of the buckle arm make the installation frame containing the control panel and the battery compartment cover can be quickly disassembled and assembled with the main body without tools, and the degree of modularization is high, which greatly improves the production, maintenance and replacement efficiency. The shell adopts a honeycomb ventilation surface, effectively optimizes the airflow channel, reduces wind resistance and turbulence, and improves the stability and efficiency of air supply. The motor slot is recessed in the center of the rear cover, combined with the split battery compartment design, making the structure more compact and the weight distribution more optimal, especially suitable for cap wearing scenes. In addition, this design supports flexible installation methods and functional expansion, successfully solving the problems of low assembly efficiency, inconvenient maintenance, poor airflow and poor expansion of traditional fans.

A modularized plug-and-play satellite-borne computing system capable of being quickly assembled and expanded is characterized in that external and internal data and control buses of the satellite-borne computing system are interconnected through plug-and-play optical fibers by adopting a standard Ethernet protocol, and power supply is interconnected through a plug-and-play standard cable; the Ethernet switching module is externally connected with the remote sensing load and the data transmission load through plug-and-play optical fibers, the Ethernet switching module is internally connected with the Ethernet switching module and the interface adaptation module through plug-and-play optical fibers, and an interconnection protocol adopts a standard Ethernet protocol; the master control CPU module is interconnected with the Ethernet protocol module, the calculation module, the storage module and the primary power management module through plug-and-play optical fibers, and an interconnection protocol adopts a standard PCIE (Peripheral Component Interconnect Express); calculation, storage, exchange and access capabilities can realize rapid and flexible telescopic assembly and expansion according to different satellite requirements.

This utility model relates to a modular, multi-functional rigging connector, belonging to the field of rigging technology. It includes a load-bearing rope and a connecting seat. The outer wall of the load-bearing rope is provided with a modular installation structure. The modular installation structure includes a steel cable fixedly connected inside the connecting seat, with a hook fixedly connected to the bottom of the steel cable. Threaded mounting seats are fixedly connected to both sides of the connecting seat, and a first threaded rod is threadedly connected to the inside of each threaded mounting seat. This modular, multi-functional rigging connector, by setting a modular installation structure consisting of a threaded rod, a mounting rod, and a support seat on both sides of the connecting seat, achieves flexible combination and multi-functional expansion of the rigging connector. Its core advantage lies in that, after installing lifting points such as hanging rings, a friction pressure plate can be driven by rotating the third threaded rod to apply a strong radial clamping force to the hanging ring or connector, forming effective secondary reinforcement.

The invention relates to the technical field of landfill soil covering and mud taking, in particular to a landfill soil covering area floating mud taking device and technology.The landfill soil covering area floating mud taking device comprises a modular floating platform, a mud taking mechanism and a driving mechanism, and the modular floating platform comprises a frame, an air bag arranged below the frame and an operation platform arranged on the upper surface of the frame; the frame is composed of two transverse supports, two longitudinal supports and four right-angle connecting pieces used for connecting the two transverse supports and the two longitudinal supports, cavities are formed in the lower surfaces of the two transverse supports and the lower surfaces of the two longitudinal supports, and the air bags are installed in the cavities. According to the floating mud taking device and technology for the soil covering area of the landfill, the frame is matched with the air bag, the modularized floating platform can float on the water surface by opening the air bag, the modularized floating platform can adapt to the surface of a soft foundation of the soil covering area, a stable moving work station is provided for mud taking equipment, and the problem that the soil covering area does not have a bearing working face is solved.

This application provides a method and system for unstructured text parsing and question answering based on a large language model. The method includes: acquiring raw unstructured text data from a data source at preset intervals; performing deep semantic analysis on the raw unstructured text data using a large language model to extract key entities and data structures; dynamically generating or updating an existing JSON structure template based on the key entities and data structures; converting the raw unstructured text data into standard structured data according to the JSON structure template; storing the structured data in a time-series database and establishing a multi-dimensional index; obtaining time information and query intent from natural language query information input by the user; and generating question-answering results or trend analysis results using a large language model based on the query intent and the structured data obtained from the time-series database according to the time information.

This application provides a testing apparatus and system for charging equipment, relating to the field of charging equipment testing. The testing apparatus includes: a first controller, at least one second controller, a first test board, at least one second test board, a first control guide board, at least one second control guide board, a first gun holder, and at least one second gun holder; the first controller is connected to the first test board and the first control guide board, and both the first test board and the first control guide board are connected to the first gun holder; each second controller is connected to one second test board, each second test board is connected to one second control guide board, and each second control guide board is connected to one second gun holder; the first test board is also interlocked with each second control guide board, and the first control guide board is also interlocked with each second control guide board. This enables parallel and / or serial testing of charging equipment, improving testing efficiency, and allowing for collaborative sharing of test data with the production line system.

This utility model discloses a modular integrated control cabinet, relating to the field of control cabinet technology. The modular integrated control cabinet includes a cabinet body and a cabinet door connected to the cabinet body, and further includes a power module assembly, a control module assembly, a signal module assembly, a module expansion assembly, an isolation assembly, and a cable tray assembly. The cabinet body includes a support frame, the outer layer of which is fixed with galvanized steel plates and aluminum alloy steel plates by bolts. The modular design of this utility model makes the internal structure of the control cabinet clear, facilitates the installation and maintenance of electrical components, and allows for flexible configuration and expansion of functional modules according to actual needs, improving the versatility and adaptability of the control cabinet. This utility model, through the cabinet frame with two layers of steel plates and the good cable management of the cable tray assembly, improves the stability, reliability, and electromagnetic compatibility of the control cabinet, and extends the service life of electrical components.

The invention belongs to the technical field of optical fiber heat flux density sensing, and discloses a gradient strain coupling FBG heat flux density sensor preparation method, which mainly comprises an optical fiber microgroove processing technology, a metal bonding layer preparation technology based on a magnetron sputtering technology and a gradient strain coupling sensitive layer preparation technology based on an electroplating technology. The method is characterized in that a microgroove is prepared on the surface of the optical fiber through a hydrofluoric acid wet etching process to improve the bonding strength with a metal layer; a first metal layer with high bonding strength is prepared on the surface of the microgroove optical fiber through a magnetron sputtering process; and a gradient strain coupled second metal layer is prepared on the surface of the magnetron sputtering metal layer through a variable-diameter electroplating process. According to the method, the optical fiber microgroove structure and the oxyphilic metal material are corroded through hydrofluoric acid to improve the bonding strength of the optical fiber and the metal, the FBG spectrum is broadened through the second metal layer subjected to gradient strain coupling, the heat flux density sensing performance is optimized and improved, the method can be suitable for machining of various metalized FBG metal layer structures, the process flexibility is high, and the application range is wide. The depth of the microgroove, the thickness of each metal layer and the gradient strain characteristic of the outer metal layer can be flexibly controlled, the heterogeneous material bonding strength of the special metallized fiber is effectively improved, and the preparation cost of the special metallized FBG is reduced.